ºÝºÝߣshows by User: LuhurMoektiPrayogo / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: LuhurMoektiPrayogo / Tue, 21 Nov 2023 12:30:46 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: LuhurMoektiPrayogo Residual Analysis and Tidal Harmonic Components in Bangkalan Regency, East Java /slideshow/residual-analysis-and-tidal-harmonic-components-in-bangkalan-regency-east-java/263713477 4-231121123046-086f546d
Bangkalan Regency is one of Madura, East Java, where some of its areas are located in a coastal environment. The coastal environment can experience economic development due to the transportation aspect so that many industries have been established in that environment. Studies on oceanographic parameters are essential because management of coastal environments can not be separated from oceanographic information: The tides information about the tidal characteristics can be obtained after performing a harmonic analysis, which produces the value of harmonic components. This study analyses the residue and tidal harmonic components using the LP-Tides Matlab software in the Sepulu district, Bangkalan Regency, East Java. The data used are January 2021 data from the Geospatial Information Agency. This research shows that the main harmonic components generated include K2, M4, MS4, M2, S2, N2, K1, O1, and P1. The tidal type shows that the Sepulu district is a semi-diurnal type with a Formzahl number = 0.08566. The maximum observation and prediction data values for January 2021 in the Sepulu district are 978 and 1273.64 mm. The MSL value is 434 mm, with an average tidal residue value between the observation and predictive data = 166.01 mm. Then the calculation of the RMSE value and standard deviations are 12.88 and 125.90 mm]]>
Bangkalan Regency is one of Madura, East Java, where some of its areas are located in a coastal environment. The coastal environment can experience economic development due to the transportation aspect so that many industries have been established in that environment. Studies on oceanographic parameters are essential because management of coastal environments can not be separated from oceanographic information: The tides information about the tidal characteristics can be obtained after performing a harmonic analysis, which produces the value of harmonic components. This study analyses the residue and tidal harmonic components using the LP-Tides Matlab software in the Sepulu district, Bangkalan Regency, East Java. The data used are January 2021 data from the Geospatial Information Agency. This research shows that the main harmonic components generated include K2, M4, MS4, M2, S2, N2, K1, O1, and P1. The tidal type shows that the Sepulu district is a semi-diurnal type with a Formzahl number = 0.08566. The maximum observation and prediction data values for January 2021 in the Sepulu district are 978 and 1273.64 mm. The MSL value is 434 mm, with an average tidal residue value between the observation and predictive data = 166.01 mm. Then the calculation of the RMSE value and standard deviations are 12.88 and 125.90 mm]]> Tue, 21 Nov 2023 12:30:46 GMT /slideshow/residual-analysis-and-tidal-harmonic-components-in-bangkalan-regency-east-java/263713477 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Residual Analysis and Tidal Harmonic Components in Bangkalan Regency, East Java LuhurMoektiPrayogo Bangkalan Regency is one of Madura, East Java, where some of its areas are located in a coastal environment. The coastal environment can experience economic development due to the transportation aspect so that many industries have been established in that environment. Studies on oceanographic parameters are essential because management of coastal environments can not be separated from oceanographic information: The tides information about the tidal characteristics can be obtained after performing a harmonic analysis, which produces the value of harmonic components. This study analyses the residue and tidal harmonic components using the LP-Tides Matlab software in the Sepulu district, Bangkalan Regency, East Java. The data used are January 2021 data from the Geospatial Information Agency. This research shows that the main harmonic components generated include K2, M4, MS4, M2, S2, N2, K1, O1, and P1. The tidal type shows that the Sepulu district is a semi-diurnal type with a Formzahl number = 0.08566. The maximum observation and prediction data values for January 2021 in the Sepulu district are 978 and 1273.64 mm. The MSL value is 434 mm, with an average tidal residue value between the observation and predictive data = 166.01 mm. Then the calculation of the RMSE value and standard deviations are 12.88 and 125.90 mm <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/4-231121123046-086f546d-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Bangkalan Regency is one of Madura, East Java, where some of its areas are located in a coastal environment. The coastal environment can experience economic development due to the transportation aspect so that many industries have been established in that environment. Studies on oceanographic parameters are essential because management of coastal environments can not be separated from oceanographic information: The tides information about the tidal characteristics can be obtained after performing a harmonic analysis, which produces the value of harmonic components. This study analyses the residue and tidal harmonic components using the LP-Tides Matlab software in the Sepulu district, Bangkalan Regency, East Java. The data used are January 2021 data from the Geospatial Information Agency. This research shows that the main harmonic components generated include K2, M4, MS4, M2, S2, N2, K1, O1, and P1. The tidal type shows that the Sepulu district is a semi-diurnal type with a Formzahl number = 0.08566. The maximum observation and prediction data values for January 2021 in the Sepulu district are 978 and 1273.64 mm. The MSL value is 434 mm, with an average tidal residue value between the observation and predictive data = 166.01 mm. Then the calculation of the RMSE value and standard deviations are 12.88 and 125.90 mm
Residual Analysis and Tidal Harmonic Components in Bangkalan Regency, East Java from Luhur Moekti Prayogo
]]> 35 0 https://cdn.slidesharecdn.com/ss_thumbnails/4-231121123046-086f546d-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Pelatihan Pemanfaatan Teknologi AI dalam Pembuatan PTK bagi Guru SDN Karangasem Kecamatan Jenu /slideshow/pelatihan-pemanfaatan-teknologi-ai-dalam-pembuatan-ptk-bagi-guru-sdn-karangasem-kecamatan-jenu/263713342 pengmasptk-231121122750-e6faf5e7
The purpose of this study is to increase a solid understanding for teachers of SDN Karangasem, Jenu about the basic concepts of AI, including how AI works, the types of algorithms used and teachers can overcome their lack of knowledge in utilization in improving the quality of learning and preparing students to face an increasingly connected and technology-oriented world. The method used by an extension is to increase teacher understanding of the importance of PTK in improving the quality of education. And the implementation of socialization regarding the process and steps in making PTK with the help of AI technology through GPT Chat media. The results obtained that advances in Artificial Intelligence Technology help teachers to create a learning process that is more exciting/interesting and not boring with various applications available and eases the task of teachers in the evaluation or administration process.]]>
The purpose of this study is to increase a solid understanding for teachers of SDN Karangasem, Jenu about the basic concepts of AI, including how AI works, the types of algorithms used and teachers can overcome their lack of knowledge in utilization in improving the quality of learning and preparing students to face an increasingly connected and technology-oriented world. The method used by an extension is to increase teacher understanding of the importance of PTK in improving the quality of education. And the implementation of socialization regarding the process and steps in making PTK with the help of AI technology through GPT Chat media. The results obtained that advances in Artificial Intelligence Technology help teachers to create a learning process that is more exciting/interesting and not boring with various applications available and eases the task of teachers in the evaluation or administration process.]]> Tue, 21 Nov 2023 12:27:50 GMT /slideshow/pelatihan-pemanfaatan-teknologi-ai-dalam-pembuatan-ptk-bagi-guru-sdn-karangasem-kecamatan-jenu/263713342 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Pelatihan Pemanfaatan Teknologi AI dalam Pembuatan PTK bagi Guru SDN Karangasem Kecamatan Jenu LuhurMoektiPrayogo The purpose of this study is to increase a solid understanding for teachers of SDN Karangasem, Jenu about the basic concepts of AI, including how AI works, the types of algorithms used and teachers can overcome their lack of knowledge in utilization in improving the quality of learning and preparing students to face an increasingly connected and technology-oriented world. The method used by an extension is to increase teacher understanding of the importance of PTK in improving the quality of education. And the implementation of socialization regarding the process and steps in making PTK with the help of AI technology through GPT Chat media. The results obtained that advances in Artificial Intelligence Technology help teachers to create a learning process that is more exciting/interesting and not boring with various applications available and eases the task of teachers in the evaluation or administration process. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pengmasptk-231121122750-e6faf5e7-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The purpose of this study is to increase a solid understanding for teachers of SDN Karangasem, Jenu about the basic concepts of AI, including how AI works, the types of algorithms used and teachers can overcome their lack of knowledge in utilization in improving the quality of learning and preparing students to face an increasingly connected and technology-oriented world. The method used by an extension is to increase teacher understanding of the importance of PTK in improving the quality of education. And the implementation of socialization regarding the process and steps in making PTK with the help of AI technology through GPT Chat media. The results obtained that advances in Artificial Intelligence Technology help teachers to create a learning process that is more exciting/interesting and not boring with various applications available and eases the task of teachers in the evaluation or administration process.
Pelatihan Pemanfaatan Teknologi AI dalam Pembuatan PTK bagi Guru SDN Karangasem Kecamatan Jenu from Luhur Moekti Prayogo
]]> 174 0 https://cdn.slidesharecdn.com/ss_thumbnails/pengmasptk-231121122750-e6faf5e7-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Pratiwi) /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-pratiwi/257754697 penginderaanjauhpratiwi-230509235655-696da7be
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 23:56:55 GMT /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-pratiwi/257754697 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Pratiwi) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/penginderaanjauhpratiwi-230509235655-696da7be-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Pratiwi) from Luhur Moekti Prayogo
]]> 38 0 https://cdn.slidesharecdn.com/ss_thumbnails/penginderaanjauhpratiwi-230509235655-696da7be-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Udis Sunardi) /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-udis-sunardi/257754693 makalahindrajaudissunardi-230509235620-1c52022c
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Udis Sunardi, NIM : 1310210011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Udis Sunardi, NIM : 1310210011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 23:56:19 GMT /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-udis-sunardi/257754693 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Udis Sunardi) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Udis Sunardi, NIM : 1310210011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajaudissunardi-230509235620-1c52022c-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Udis Sunardi, NIM : 1310210011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Udis Sunardi) from Luhur Moekti Prayogo
]]> 16 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajaudissunardi-230509235620-1c52022c-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Saiful Mukminin) /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-saiful-mukminin/257754684 makalahindrajasaifulmukminin1310210008-230509235547-f9ab7561
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 23:55:47 GMT /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-saiful-mukminin/257754684 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Saiful Mukminin) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajasaifulmukminin1310210008-230509235547-f9ab7561-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Saiful Mukminin) from Luhur Moekti Prayogo
]]> 358 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajasaifulmukminin1310210008-230509235547-f9ab7561-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Maryoko) /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-maryoko/257754674 makalahindrajamaryoko-230509235446-d22efa16
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 23:54:46 GMT /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-maryoko/257754674 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Maryoko) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajamaryoko-230509235446-d22efa16-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Maryoko) from Luhur Moekti Prayogo
]]> 89 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajamaryoko-230509235446-d22efa16-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Fajar Kurniawan) /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-fajar-kurniawan/257754671 makalahindrajafajarkurniawan-230509235407-b5656a12
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Fajar Kurniawan, NIM : 1310210012, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Fajar Kurniawan, NIM : 1310210012, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 23:54:07 GMT /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-fajar-kurniawan/257754671 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Fajar Kurniawan) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Fajar Kurniawan, NIM : 1310210012, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajafajarkurniawan-230509235407-b5656a12-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Fajar Kurniawan, NIM : 1310210012, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Fajar Kurniawan) from Luhur Moekti Prayogo
]]> 110 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajafajarkurniawan-230509235407-b5656a12-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Agus Vandiharjo) /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-agus-vandiharjo/257754658 makalahindrajaagusvandiharjo-230509235245-9d6f59c7
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Agus Vandiharjo, NIM : 1310210009, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Agus Vandiharjo, NIM : 1310210009, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 23:52:45 GMT /slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-agus-vandiharjo/257754658 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Agus Vandiharjo) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Agus Vandiharjo, NIM : 1310210009, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajaagusvandiharjo-230509235245-9d6f59c7-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penginderaan Jauh (3 SKS), Nama : Agus Vandiharjo, NIM : 1310210009, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penginderaan Jauh - Prinsip Dasar Penginderaan Jauh (By. Agus Vandiharjo) from Luhur Moekti Prayogo
]]> 133 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahindrajaagusvandiharjo-230509235245-9d6f59c7-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Ristyan Tri Rahayu) /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-ristyan-tri-rahayu/257736652 tugasmakalahppbl-3ristyantrirahayuik2021-230509014351-bac6d1a3
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Ristyan Tri Rahayu, NIM : 131021001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Ristyan Tri Rahayu, NIM : 131021001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 01:43:51 GMT /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-ristyan-tri-rahayu/257736652 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Ristyan Tri Rahayu) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Ristyan Tri Rahayu, NIM : 131021001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tugasmakalahppbl-3ristyantrirahayuik2021-230509014351-bac6d1a3-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Ristyan Tri Rahayu, NIM : 131021001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Ristyan Tri Rahayu) from Luhur Moekti Prayogo
]]> 19 0 https://cdn.slidesharecdn.com/ss_thumbnails/tugasmakalahppbl-3ristyantrirahayuik2021-230509014351-bac6d1a3-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Saiful Mukminin) /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-saiful-mukminin/257736647 makalahppblsaifulmukminin1310210008-230509014317-68a8a691
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 01:43:16 GMT /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-saiful-mukminin/257736647 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Saiful Mukminin) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahppblsaifulmukminin1310210008-230509014317-68a8a691-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Saiful Mukminin, NIM : 1310210008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Saiful Mukminin) from Luhur Moekti Prayogo
]]> 14 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahppblsaifulmukminin1310210008-230509014317-68a8a691-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Pratiwi) /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-pratiwi/257736638 makalahppblpratiwi-230509014243-2d7f4af3
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 01:42:43 GMT /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-pratiwi/257736638 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Pratiwi) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahppblpratiwi-230509014243-2d7f4af3-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Pratiwi, NIM : 1310210001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Pratiwi) from Luhur Moekti Prayogo
]]> 9 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahppblpratiwi-230509014243-2d7f4af3-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Maryoko) /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-maryoko/257736631 makalahppblmaryoko-230509014150-08a43707
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Tue, 09 May 2023 01:41:50 GMT /slideshow/penetapan-dan-penegasan-batas-laut-sengketa-wilayah-kepulauan-spartly-di-laut-cina-selatan-by-maryoko/257736631 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Maryoko) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makalahppblmaryoko-230509014150-08a43707-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Penetapan dan Penegasan Batas Laut (3 SKS), Nama : Maryoko, NIM : 1310210015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Penetapan dan Penegasan Batas Laut - Sengketa Wilayah Kepulauan Spartly di Laut Cina Selatan (By. Maryoko) from Luhur Moekti Prayogo
]]> 67 0 https://cdn.slidesharecdn.com/ss_thumbnails/makalahppblmaryoko-230509014150-08a43707-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Analisis Komponen Harmonik dan Elevasi Pasang Surut pada Alur Pelayaran Perairan Cilacap /LuhurMoektiPrayogo/analisis-komponen-harmonik-dan-elevasi-pasang-surut-pada-alur-pelayaran-perairan-cilacap 6-230417021643-0813c69e
Cilacap merupakan kabupaten yang mempunyai luas area mencapai 225.360,840 ha yang terletak pada wilayah Jawa Tengah bagian selatan. Kabupaten ini menghadap langsung dengan Samudera Indonesia disebelah selatannya. Karakteristik elevasi harmonik suatu wilayah perairan bermanfaat untuk mengetahui interaksi pembentuk pasang surut pada wilayah tertentu. Hal ini dibutuhkan untuk keperluan pengelolaan lingkungan lebih lanjut serta bangunan pantai dan kegiatan lain di wilayah pesisir. Penelitian ini dilakukan menggunakan data primer berupa data elevasi pasang surut yang terekam setiap jam selama satu 31 hari pada bulan Januari 2019. Analisis harmonik menggunakan T-Tide untuk mengekstrak komponen-komponen pasang surut. Komponen pasut yang dominan diantaranya Q1, O1, NO1, K1, N2, M2. Perairan cilacap memiliki tipe pasang surut yang diklasifikasikan sebagai pasang surut campuran condong harian ganda dengan nilai indeks Formzahl sebesar 0.531856. Elevasi muka air laut di Perairan Cilacap MSL yang menunjukan nilai rata-rata muka air laut sebesar 3.46m, HAT 4.74m, MHWL 4.3m, MLWL 2.62m dan LAT 2.18m.]]>
Cilacap merupakan kabupaten yang mempunyai luas area mencapai 225.360,840 ha yang terletak pada wilayah Jawa Tengah bagian selatan. Kabupaten ini menghadap langsung dengan Samudera Indonesia disebelah selatannya. Karakteristik elevasi harmonik suatu wilayah perairan bermanfaat untuk mengetahui interaksi pembentuk pasang surut pada wilayah tertentu. Hal ini dibutuhkan untuk keperluan pengelolaan lingkungan lebih lanjut serta bangunan pantai dan kegiatan lain di wilayah pesisir. Penelitian ini dilakukan menggunakan data primer berupa data elevasi pasang surut yang terekam setiap jam selama satu 31 hari pada bulan Januari 2019. Analisis harmonik menggunakan T-Tide untuk mengekstrak komponen-komponen pasang surut. Komponen pasut yang dominan diantaranya Q1, O1, NO1, K1, N2, M2. Perairan cilacap memiliki tipe pasang surut yang diklasifikasikan sebagai pasang surut campuran condong harian ganda dengan nilai indeks Formzahl sebesar 0.531856. Elevasi muka air laut di Perairan Cilacap MSL yang menunjukan nilai rata-rata muka air laut sebesar 3.46m, HAT 4.74m, MHWL 4.3m, MLWL 2.62m dan LAT 2.18m.]]> Mon, 17 Apr 2023 02:16:43 GMT /LuhurMoektiPrayogo/analisis-komponen-harmonik-dan-elevasi-pasang-surut-pada-alur-pelayaran-perairan-cilacap LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Analisis Komponen Harmonik dan Elevasi Pasang Surut pada Alur Pelayaran Perairan Cilacap LuhurMoektiPrayogo Cilacap merupakan kabupaten yang mempunyai luas area mencapai 225.360,840 ha yang terletak pada wilayah Jawa Tengah bagian selatan. Kabupaten ini menghadap langsung dengan Samudera Indonesia disebelah selatannya. Karakteristik elevasi harmonik suatu wilayah perairan bermanfaat untuk mengetahui interaksi pembentuk pasang surut pada wilayah tertentu. Hal ini dibutuhkan untuk keperluan pengelolaan lingkungan lebih lanjut serta bangunan pantai dan kegiatan lain di wilayah pesisir. Penelitian ini dilakukan menggunakan data primer berupa data elevasi pasang surut yang terekam setiap jam selama satu 31 hari pada bulan Januari 2019. Analisis harmonik menggunakan T-Tide untuk mengekstrak komponen-komponen pasang surut. Komponen pasut yang dominan diantaranya Q1, O1, NO1, K1, N2, M2. Perairan cilacap memiliki tipe pasang surut yang diklasifikasikan sebagai pasang surut campuran condong harian ganda dengan nilai indeks Formzahl sebesar 0.531856. Elevasi muka air laut di Perairan Cilacap MSL yang menunjukan nilai rata-rata muka air laut sebesar 3.46m, HAT 4.74m, MHWL 4.3m, MLWL 2.62m dan LAT 2.18m. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/6-230417021643-0813c69e-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Cilacap merupakan kabupaten yang mempunyai luas area mencapai 225.360,840 ha yang terletak pada wilayah Jawa Tengah bagian selatan. Kabupaten ini menghadap langsung dengan Samudera Indonesia disebelah selatannya. Karakteristik elevasi harmonik suatu wilayah perairan bermanfaat untuk mengetahui interaksi pembentuk pasang surut pada wilayah tertentu. Hal ini dibutuhkan untuk keperluan pengelolaan lingkungan lebih lanjut serta bangunan pantai dan kegiatan lain di wilayah pesisir. Penelitian ini dilakukan menggunakan data primer berupa data elevasi pasang surut yang terekam setiap jam selama satu 31 hari pada bulan Januari 2019. Analisis harmonik menggunakan T-Tide untuk mengekstrak komponen-komponen pasang surut. Komponen pasut yang dominan diantaranya Q1, O1, NO1, K1, N2, M2. Perairan cilacap memiliki tipe pasang surut yang diklasifikasikan sebagai pasang surut campuran condong harian ganda dengan nilai indeks Formzahl sebesar 0.531856. Elevasi muka air laut di Perairan Cilacap MSL yang menunjukan nilai rata-rata muka air laut sebesar 3.46m, HAT 4.74m, MHWL 4.3m, MLWL 2.62m dan LAT 2.18m.
Analisis Komponen Harmonik dan Elevasi Pasang Surut pada Alur Pelayaran Perairan Cilacap from Luhur Moekti Prayogo
]]> 26 0 https://cdn.slidesharecdn.com/ss_thumbnails/6-230417021643-0813c69e-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Land Cover Classification Assessment Using Decision Trees and Maximum Likelihood Classification Algorithms on Landsat 8 Data /slideshow/land-cover-classification-assessment-using-decision-trees-and-maximum-likelihood-classification-algorithms-on-landsat-8-data/256185831 jurnaldoubleklicklandcover-230302011901-89baceaf
Classification technique on remote sensing images is an effort taken to identify the class of each pixel based on the spectral characteristics of various channels. Traditional classifications such as Maximum Likelihood are based on statistical parameters such as standard deviation and mean, which have a probability model of each pixel in each class. While the object-based classification method, one of which is the Decision Trees, is based on rules for each class with mathematical functions. This study compares the Decision Trees and Maximum Likelihood algorithms for land cover classification in the Surabaya and Bangkalan areas using Landsat 8 data. This research begins with creating Regions of Interest (ROIs) and Rules on images with greater than and less than functions for Decision Trees. The ROIs test was carried out using the Separability Index and matching each class using the Confusion Matrix. The experimental results show that the accuracy value resulting from the Confusion Matrix calculation is 90.48%, with a Kappa Coefficient Value of 0.87. The Decision Trees method produces land cover nigher to the actual condition than the Maximum Likelihood method. The difference in the class distribution of the two ways is not significant. This study is limited because the validation uses manual interpretation results. Future research is expected to use the large-scale classification results from the relevant agencies to verify the classification results and use field data, larger samples of ROIs, and the use of high-resolution imagery in order to improve the classification results.]]>
Classification technique on remote sensing images is an effort taken to identify the class of each pixel based on the spectral characteristics of various channels. Traditional classifications such as Maximum Likelihood are based on statistical parameters such as standard deviation and mean, which have a probability model of each pixel in each class. While the object-based classification method, one of which is the Decision Trees, is based on rules for each class with mathematical functions. This study compares the Decision Trees and Maximum Likelihood algorithms for land cover classification in the Surabaya and Bangkalan areas using Landsat 8 data. This research begins with creating Regions of Interest (ROIs) and Rules on images with greater than and less than functions for Decision Trees. The ROIs test was carried out using the Separability Index and matching each class using the Confusion Matrix. The experimental results show that the accuracy value resulting from the Confusion Matrix calculation is 90.48%, with a Kappa Coefficient Value of 0.87. The Decision Trees method produces land cover nigher to the actual condition than the Maximum Likelihood method. The difference in the class distribution of the two ways is not significant. This study is limited because the validation uses manual interpretation results. Future research is expected to use the large-scale classification results from the relevant agencies to verify the classification results and use field data, larger samples of ROIs, and the use of high-resolution imagery in order to improve the classification results.]]> Thu, 02 Mar 2023 01:19:01 GMT /slideshow/land-cover-classification-assessment-using-decision-trees-and-maximum-likelihood-classification-algorithms-on-landsat-8-data/256185831 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Land Cover Classification Assessment Using Decision Trees and Maximum Likelihood Classification Algorithms on Landsat 8 Data LuhurMoektiPrayogo Classification technique on remote sensing images is an effort taken to identify the class of each pixel based on the spectral characteristics of various channels. Traditional classifications such as Maximum Likelihood are based on statistical parameters such as standard deviation and mean, which have a probability model of each pixel in each class. While the object-based classification method, one of which is the Decision Trees, is based on rules for each class with mathematical functions. This study compares the Decision Trees and Maximum Likelihood algorithms for land cover classification in the Surabaya and Bangkalan areas using Landsat 8 data. This research begins with creating Regions of Interest (ROIs) and Rules on images with greater than and less than functions for Decision Trees. The ROIs test was carried out using the Separability Index and matching each class using the Confusion Matrix. The experimental results show that the accuracy value resulting from the Confusion Matrix calculation is 90.48%, with a Kappa Coefficient Value of 0.87. The Decision Trees method produces land cover nigher to the actual condition than the Maximum Likelihood method. The difference in the class distribution of the two ways is not significant. This study is limited because the validation uses manual interpretation results. Future research is expected to use the large-scale classification results from the relevant agencies to verify the classification results and use field data, larger samples of ROIs, and the use of high-resolution imagery in order to improve the classification results. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jurnaldoubleklicklandcover-230302011901-89baceaf-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Classification technique on remote sensing images is an effort taken to identify the class of each pixel based on the spectral characteristics of various channels. Traditional classifications such as Maximum Likelihood are based on statistical parameters such as standard deviation and mean, which have a probability model of each pixel in each class. While the object-based classification method, one of which is the Decision Trees, is based on rules for each class with mathematical functions. This study compares the Decision Trees and Maximum Likelihood algorithms for land cover classification in the Surabaya and Bangkalan areas using Landsat 8 data. This research begins with creating Regions of Interest (ROIs) and Rules on images with greater than and less than functions for Decision Trees. The ROIs test was carried out using the Separability Index and matching each class using the Confusion Matrix. The experimental results show that the accuracy value resulting from the Confusion Matrix calculation is 90.48%, with a Kappa Coefficient Value of 0.87. The Decision Trees method produces land cover nigher to the actual condition than the Maximum Likelihood method. The difference in the class distribution of the two ways is not significant. This study is limited because the validation uses manual interpretation results. Future research is expected to use the large-scale classification results from the relevant agencies to verify the classification results and use field data, larger samples of ROIs, and the use of high-resolution imagery in order to improve the classification results.
Land Cover Classification Assessment Using Decision Trees and Maximum Likelihood Classification Algorithms on Landsat 8 Data from Luhur Moekti Prayogo
]]> 27 0 https://cdn.slidesharecdn.com/ss_thumbnails/jurnaldoubleklicklandcover-230302011901-89baceaf-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mitigasi Bencana Pesisir - Penghijaun Hutan (By. Imam Asghoni Mahali) /slideshow/mitigasi-bencana-pesisir-penghijaun-hutan-by-imam-asghoni-mahali/255808427 tugaspptmitigasibencana-230211032340-5216bafe
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Imam Asghoni Mahali, NIM : 1310190011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Imam Asghoni Mahali, NIM : 1310190011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Sat, 11 Feb 2023 03:23:40 GMT /slideshow/mitigasi-bencana-pesisir-penghijaun-hutan-by-imam-asghoni-mahali/255808427 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Mitigasi Bencana Pesisir - Penghijaun Hutan (By. Imam Asghoni Mahali) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Imam Asghoni Mahali, NIM : 1310190011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tugaspptmitigasibencana-230211032340-5216bafe-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Imam Asghoni Mahali, NIM : 1310190011, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Mitigasi Bencana Pesisir - Penghijaun Hutan (By. Imam Asghoni Mahali) from Luhur Moekti Prayogo
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Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Nur Uswatun Chasanah, NIM : 1310190015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Nur Uswatun Chasanah, NIM : 1310190015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Sat, 11 Feb 2023 03:20:13 GMT /slideshow/mitigasi-bencana-pesisir-pembuatan-bangunan-tahan-gempa-by-nur-uswatun-chasanah/255808406 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Mitigasi Bencana Pesisir - Pembuatan Bangunan Tahan Gempa (By. Nur Uswatun Chasanah) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Nur Uswatun Chasanah, NIM : 1310190015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tugasmitigasibencananuruswatunik19-230211032013-88094491-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Nur Uswatun Chasanah, NIM : 1310190015, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Mitigasi Bencana Pesisir - Pembuatan Bangunan Tahan Gempa (By. Nur Uswatun Chasanah) from Luhur Moekti Prayogo
]]> 36 0 https://cdn.slidesharecdn.com/ss_thumbnails/tugasmitigasibencananuruswatunik19-230211032013-88094491-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mitigasi Bencana Pesisir - Memberikan Penyuluhan dan Meningkatkan Kesadaran Masyarakat di Wilayah Rawan Bencana Alam (By. Abdul Wahid) /slideshow/mitigasi-bencana-pesisir-memberikan-penyuluhan-dan-meningkatkan-kesadaran-masyarakat-di-wilayah-rawan-bencana-alam-by-abdul-wahid/255808282 pptmitigasibencanaabdulwahid1310190016-230211030332-a2a21a35
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Abdul Wahid, NIM : 1310190016, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Abdul Wahid, NIM : 1310190016, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Sat, 11 Feb 2023 03:03:31 GMT /slideshow/mitigasi-bencana-pesisir-memberikan-penyuluhan-dan-meningkatkan-kesadaran-masyarakat-di-wilayah-rawan-bencana-alam-by-abdul-wahid/255808282 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Mitigasi Bencana Pesisir - Memberikan Penyuluhan dan Meningkatkan Kesadaran Masyarakat di Wilayah Rawan Bencana Alam (By. Abdul Wahid) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Abdul Wahid, NIM : 1310190016, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pptmitigasibencanaabdulwahid1310190016-230211030332-a2a21a35-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Abdul Wahid, NIM : 1310190016, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Mitigasi Bencana Pesisir - Memberikan Penyuluhan dan Meningkatkan Kesadaran Masyarakat di Wilayah Rawan Bencana Alam (By. Abdul Wahid) from Luhur Moekti Prayogo
]]> 14 0 https://cdn.slidesharecdn.com/ss_thumbnails/pptmitigasibencanaabdulwahid1310190016-230211030332-a2a21a35-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mitigasi Bencana Pesisir - Bangunan Pelindung Pantai Sebagai Penanggulangan Abrasi (By. Mar’atus Sholihah) /slideshow/mitigasi-bencana-pesisir-bangunan-pelindung-pantai-sebagai-penanggulangan-abrasi-by-maratus-sholihah/255808278 pptmitigasibencana-230211030254-f5316554
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190004, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190004, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Sat, 11 Feb 2023 03:02:54 GMT /slideshow/mitigasi-bencana-pesisir-bangunan-pelindung-pantai-sebagai-penanggulangan-abrasi-by-maratus-sholihah/255808278 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Mitigasi Bencana Pesisir - Bangunan Pelindung Pantai Sebagai Penanggulangan Abrasi (By. Mar’atus Sholihah) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190004, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pptmitigasibencana-230211030254-f5316554-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190004, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Mitigasi Bencana Pesisir - Bangunan Pelindung Pantai Sebagai Penanggulangan Abrasi (By. Mar’atus Sholihah) from Luhur Moekti Prayogo
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Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Dewi Anggraeni, NIM : 1310190001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Dewi Anggraeni, NIM : 1310190001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Sat, 11 Feb 2023 03:02:08 GMT /slideshow/mitigasi-bencana-pesisir-penanggulangan-abrasi-pantai-melalu-reboisasi-hutan-mangrove-by-dewi-anggraeni/255808271 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Mitigasi Bencana Pesisir - Penanggulangan Abrasi Pantai Melalu Reboisasi Hutan Mangrove (By. Dewi Anggraeni) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Dewi Anggraeni, NIM : 1310190001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mitigasidewianggraeni1310190001-230211030208-db84f833-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Dewi Anggraeni, NIM : 1310190001, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Mitigasi Bencana Pesisir - Penanggulangan Abrasi Pantai Melalu Reboisasi Hutan Mangrove (By. Dewi Anggraeni) from Luhur Moekti Prayogo
]]> 291 0 https://cdn.slidesharecdn.com/ss_thumbnails/mitigasidewianggraeni1310190001-230211030208-db84f833-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mitigasi Bencana Pesisir - Penghijauan Hutan Mangrove (By. Putri Widyawati Nur Adimah) /slideshow/mitigasi-bencana-pesisir-penghijauan-hutan-mangrove-by-putri-widyawati-nur-adimah/255808262 mitigasiputrwna-230211030102-17ea3886
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]>
Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023]]> Sat, 11 Feb 2023 03:01:01 GMT /slideshow/mitigasi-bencana-pesisir-penghijauan-hutan-mangrove-by-putri-widyawati-nur-adimah/255808262 LuhurMoektiPrayogo@slideshare.net(LuhurMoektiPrayogo) Mitigasi Bencana Pesisir - Penghijauan Hutan Mangrove (By. Putri Widyawati Nur Adimah) LuhurMoektiPrayogo Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mitigasiputrwna-230211030102-17ea3886-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tugas 1 Mata Kuliah Mitigasi Bencana Pesisir (3 SKS), Nama : Putri Widyawati Nur Adimah, NIM : 1310190008, Dosen Pengampu: Luhur Moekti Prayogo, S.Si., M.Eng, Program Studi Ilmu Kelautan, Fakultas Perikanan dan Kelautan, Universitas PGRI Ronggolawe Tuban 2023
Mitigasi Bencana Pesisir - Penghijauan Hutan Mangrove (By. Putri Widyawati Nur Adimah) from Luhur Moekti Prayogo
]]> 32 0 https://cdn.slidesharecdn.com/ss_thumbnails/mitigasiputrwna-230211030102-17ea3886-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-LuhurMoektiPrayogo-48x48.jpg?cb=1721915996 Luhur Moekti Prayogo, S.Si., M.Eng Books: 1. Ocean Remote Sensing : Pengindraan Jauh dan Aplikasinya dalam Bidang Kelautan-ISBN: 978-623-7795-18-6 2. Introduction of Digital Image Processing with ENVI-ISBN: 978-623-7795-25-4 3. Image Processing Systems Using ENVI - ISBN: 978-623-7795-33-9 4. Tutorial Praktis Envi Versi 5.2 [Classic] - ISBN: 978-623-278-093-4 5. Quantum GIS 3.14 : Basic Tutorials - ISBN: 978-623-6565-68-1 6. Mahir ArcGIS 10 Untuk Pemula - ISBN: 978-623-6502-88-4. bit.ly/lmprayogo https://cdn.slidesharecdn.com/ss_thumbnails/4-231121123046-086f546d-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/residual-analysis-and-tidal-harmonic-components-in-bangkalan-regency-east-java/263713477 Residual Analysis and ... https://cdn.slidesharecdn.com/ss_thumbnails/pengmasptk-231121122750-e6faf5e7-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/pelatihan-pemanfaatan-teknologi-ai-dalam-pembuatan-ptk-bagi-guru-sdn-karangasem-kecamatan-jenu/263713342 Pelatihan Pemanfaatan ... https://cdn.slidesharecdn.com/ss_thumbnails/penginderaanjauhpratiwi-230509235655-696da7be-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/penginderaan-jauh-prinsip-dasar-penginderaan-jauh-by-pratiwi/257754697 Penginderaan Jauh - Pr...