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All Journal JSEH (Jurnal Sosial Ekonomi dan Humaniora) Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Biologi Tropis JMM (Jurnal Masyarakat Mandiri) Jurnal Pengabdian Magister Pendidikan IPA Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Forest Science Avicennia Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Agrimansion: Agribusiness Management & Extension Jurnal Sylva Scienteae Agroteksos Jurnal Multidisiplin Madani (MUDIMA) Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Ilmiah Mahasiswa Agrokomplek Journal of Authentic Research Jurnal Forest Island
Niechi Valentino
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Public Health Social Sciences Other

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Journal : Agroteksos

 1 
LANDSAT 9 IMAGERY BASED MANGROVE FOREST MAPPING USING MAXIMUM LIKELIHOOD CLASSIFIER AND SUPPORT VECTOR MACHINE ALGORITHM Prasetyo, Andrie Ridzki; Valentino, Niechi; Shabrina, Hasyyati
AGROTEKSOS, Jurnal Ilmiah Ilmu Pertanian Vol 33 No 3 (2023): Jurnal Agroteksos Desember 2023
Publisher : Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agroteksos.v33i3.975

Abstract

The successful launch of Landsat 9 in 2021 emphasizes the commitment to the continuity of the Landsat mission to provide global medium resolution satellite records. The benefit of the availability of the Landsat dataset is the extraction of information related to mangrove forest cover through mapping, especially in Gili Lawang. The main challenge in mangrove mapping is selecting a classification method that provides the most accurate results. This article aims to explore the use of the Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM) algorithms in the context of mangrove mapping using Landsat 9 imagery on Gili Lawang. The two algorithms show differences in detecting the area of mangrove, non-mangrove and water bodies, respectively for SVM 371.89 ha, 58.11 ha, 3.73 ha; while the MLC algorithm is 328.88 ha, 98.41 ha, and 6.45 ha. The MLC algorithm identifies non-mangrove objects at the outer boundary of Gili Lawang, while SVM identifies the same area as mangrove objects due to the influence of the training area created and low separability. The SVM algorithm has better accuracy with a Kappa statistic of 0.85 compared to MLC with a value of 0.73. Keywords: Gili Lawang, Landsat 9, Mangrove, Support Vector Machine, Maximum Likelihood Classifier
EVALUASI KINERJA HUTAN KEMASYARAKATAN GAPOKTAN ALAM LESTARI RESORT JANGKOK KESATUAN PENGELOLAAN HUTAN RINJANI BARAT Ananda, Siti Munawarah; Setiawan, Budhy; Valentino, Niechi
AGROTEKSOS, Jurnal Ilmiah Ilmu Pertanian Vol 33 No 2 (2023): Jurnal Agroteksos Agustus 2023
Publisher : Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agroteksos.v33i2.890

Abstract

NTB Province is committed to implementing the Ministry of Environment and Forestry Regulation Number 9 of 2021 which states that there is a need to increase the economic activities of residents living around forests through social forestry schemes. The most popular social forestry scheme is HKm. The HKm scheme is of more interest to the people of NTB because it aims to improve the welfare of communities around the forest and its implementation can be carried out in protected and production forests. Based on the above problems, it is necessary to conduct research related to the evaluation of HKm management of Gapoktan Alam Lestari in order to find out the economic, ecological and social aspects regulatedinPerdirjen Perhutanan Sosial dan Kemitraan Lingkungan No.P.9/PSKL/PKPS/KUM.1/10/2019. Descriptive method was used in this research. A snowball sampling approach was used to determine respondents. Gapoktan Alam Lestari obtained a medium score (75%) in its evaluation.
ANALISIS DAMPAK EKONOMI DAN LINGKUNGAN DI OBJEK WISATA BENANG STOKEL DESA AIK BERIK KECAMATAN BATUKLIANG UTARA KABUPATEN LOMBOK TENGAH Humaeroh, Siti; Setiawan, Budhy; Valentino, Niechi
AGROTEKSOS, Jurnal Ilmiah Ilmu Pertanian Vol 34 No 2 (2024): Jurnal Agroteksos Agustus 2024
Publisher : Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agroteksos.v34i2.1180

Abstract

Penelitian ini bertujuan untuk mengetahui dampak ekonomi dan dampak lingkungan yang terjadi di objek wisata air terjun benang stokel. Metode yang digunakan yaitu wawancara yang dilakukan kepada wisatawan, peemilik unit usaha, dan tenaga kerja untuk mencari informasi yang berkaitan dengan tujuan penelitian. Penentuan jumlah responden menggunakan rumus slovin dengan eror 10% dan dengan menggunakan metode sensus, sebanyak 95 responden wisatawan, 17 responden unit usaha dan 51 responden tenaga kerja. Hasil penelitian menunjukan bahwa wisata air terjun benang stokel dapat memberikan dampak ekonomi yang cukup besar bagi masyarakat dan juga terhadap kegiatan wisatanya serta wisata air terjun benang stokel belum menimbulkan dampak negatif bagi lingkungan.
PERAN MODAL SOSIAL DALAM PENGELOLAAN HUTAN KEMASYARAKATAN KELOMPOK TANI REBAN LESTARI DESA BATU MEKAR KECAMATAN LINGSAR KABUPATEN LOMBOK BARAT Qauliyah, Nurul; Setiawan, Budhy; Valentino, Niechi
AGROTEKSOS, Jurnal Ilmiah Ilmu Pertanian Vol 34 No 2 (2024): Jurnal Agroteksos Agustus 2024
Publisher : Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agroteksos.v34i2.1177

Abstract

Social capital is considered a determinant of the success of community forest management. This research aims to determine the role of social capital in the sustainability of community forest management in the Reban Lestari farmer group. The respondents in this study were 67 members of the Reban Lestari forest farmer group. The level of social capital was analyzed using an equation between values ​​with 3 classes (low, medium and high) and to analyze the role of social capital in sustainable forest management, descriptive analysis was used. The research results show that social capital plays an important role in encouraging the development of community participation in sustainable forest management based on mutual trust, togetherness and proactive action.
Co-Authors Ahmad Jufri Amin, Fitrah Maulidi Ananda, Siti Munawarah Andi chairil ichan Andi Chairil Ichsan Andrie Ridzki Prasetyo Antareja, Gde Margin Anwar Hadi, Muhammad Araruna, Isroqul Ihsan Ariagunawan ASASANDI, I GUSTI NGURAH ARYAWAN Azizah, Lutfiah B, Kornelia Webliana Chaerani, Nurul Diah Permatasari, Diah Dini Lestari, Dini Dwi Sukma Rini Endah Wahyuningsih Eni Hidayati Fadli Fadli Fauzan Fahrussiam Fesal, M Firdaus, Rato Silamon Fitrianiningsih Gde Margin Antareja Gozali, M. Rijalul Hadi , Muhammad Anwar Hadi, M Rijalul Gozali1, Muhammad Anwar Hadi, Muhammad Anwar Hairil Anwar Hambali, Moh Rodiansyah Hamdani, Sahrun Hayati Hayati Hayati Heri Heryanto Humaeroh, Siti Ida Ansharyani Irwan Mahakam Lesmono Aji Juansyah, Raj'i Waldi M. Husni Idris, M. Husni M. Yusuf Muhamad Husni Idris Muhamad Husni Idris, Muhamad Husni Muhammad Anwar Hadi Muktasam Mulyadin, Rahmat musdi, musdi Nasruddin, Muhammad Azwar Fahri Nurfadilah Nurrachman Nurrachman Nursan, Muhammad Prasetyo, Andrie Ridzki Pratama, Roni Putra Qauliyah, Nurul Rato Firdaus Silamon, Rato Firdaus Rhojim Wahyudi Ridzki Prasetyo, Andrie Ridzky Prasetyo, Andrie Rima Vera Ningsih Rima Vera Ningsih Rusmin Nuryadin Sadikin Amir Safitri, Desti Suci Safitri, Gitta Sahidu, Arifuddin Sahrul Alim Satria Arif Budiman Setiawan, Budhy Shabrina, Hasyyati Sitti Latifah Syahruanda, Eggi Syawalina Fitria Webliana B, Kornelia Webliana, Kornelia Wihelmus Jemarut Winduri, Monika Endang Wulandari, Febriana Tri