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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Majalah Geografi Indonesia JGE (Jurnal Geofisika Eksplorasi) Jurnal Geosaintek Jurnal Kelautan Tropis Journal of Science and Applicative Technology JURNAL ILMIAH GEOMATIKA Jurnal Geografi Jurnal Geografi, Edukasi dan Lingkungan J SIG (Jurnal Sains Informasi Geografi) Jurnal Geosains dan Remote Sensing (JGRS) Jurnal Ilmiah Geomatika Journal of Infrastructure Policy and Management (JIPM) TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Journal of Sciencce Technology and Visual Culture Jurnal Geosaintek Geoid - Journal of Geodesy and Geomatics
Nadzir, Zulfikar Adlan
Program Studi Teknik Geomatika, Institut Teknologi Sumatera, Lampung Selatan, 35365, Indonesia
Agriculture, Biological Sciences & Forestry Arts Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : J SIG (Jurnal Sains Informasi Geografi)

 1 
PENGEMBANGAN ALGORITMA IDENTIFIKASI SAWAH PADI BERDASARKAN SPEKTRA FASE PADI (STUDI KASUS: LAMPUNG SELATAN) (Paddy Field Identification Algorithm Development Using Spectral Value of Paddy Field (Case Study: South Lampung)) Zulfikar Adlan Nadzir; Nirmawana Simarmata; Aliffia Aliffia
Jurnal Sains Informasi Geografi Vol 3, No 1 (2020): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.675 KB) | DOI: 10.31314/jsig.v3i1.537

Abstract

Padi merupakan salah satu sumber makanan utama bagi masyarakat Indonesia. Padi dalam siklus hidupnya mempunyai beberapa fase yang dalam konteks penginderaan jauh memiliki karakteristik kurva hamburan yang berbeda-beda, sehingga diperlukan sebuah proses identifikasi dan pengembangan algoritma identifikasi padi yang memperhatikan kurva-kurva hamburan dari setiap fase padi yang ada. Penelitian ini menggunakan algoritma yang sudah umum dipakai oleh kalangan peneliti di bidang vegetasi penginderaan jauh yaitu NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), SAVI (Soil Adjusted Vegetation Index) dan LAI (Leaf Area Index) sebagai penanda awal dari lokasi vegetasi di Lampung Selatan. Setelah itu lokasi tersebut di-verifikasi dengan survei lapangan untuk mendapatkan letak sebenarnya dari lahan sawah beserta umur/fase dari sawah tersebut. Dari informasi hasil algoritma dan fase padi di lapangan, dibangun sebuah algoritma awalan (preliminary algorithm) identifikasi lokasi sawah padi. Dengan adanya usaha proses pengembangan algoritma identifikasi padi ini, penelitian ini dapat menentukan lokasi-lokasi sawah padi berdasarkan fase-fasenya. Dari lokasi-lokasi ini didukung dan ditambah dengan proses validasi lapangan, didapatkan tingkat kebenaran dari identifikasi.
EVALUASI DAN KOMPARASI DARI MODEL ANOMALI GAYA BERAT di LAUTAN INDONESIA Nadzir, Zulfikar Adlan; Rahmadhani, Nina
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3073

Abstract

Gravity is the total value of the various forces acting on any stationary body on the Earth's surface. This gravity is related to the Geoid, an important parameter in Geodesy. The Geoid is commonly used as a vertical reference for geospatial reference systems in many countries, including Indonesia. Another derived parameter of gravity is gravity anomaly, which is the difference between the gravity vector on the geoid and the normal gravity vector on the ellipsoid. The measurement of gravity at sea has several disadvantages compared to that on land, due to the high level of difficulty and risk of the measurement. Technological developments have facilitated the observation of gravity at sea both regionally and globally, one of which is using altimetry. The output of gravity observations using altimetry satellites is called combined Global Geopotential Model (GGM). Indonesia has had a regional geoid model since 1981, and the latest is INAGEOID2020 v2.0. The accuracy of INAGEOID2020 needs to be improved to realize the one-map policy and large-scale mapping based on the Master Plan for the Implementation of the National Vertical Geospatial Reference System. Therefore, this research aims to analyze the comparison of gravity anomalies of several MGGs in Indonesian seas by comparing them to Shipborne gravity anomalies. The Global Geopotential Models used are EGM2008, EIGEN6C4, XGM2019e, DTU17 and Sandwell Model v.31.1. The results of this study are XGM2019e is the best Combination Global Model in Indonesia and DTU17 is the best Global Altimetry Model in Indonesia, and both models have good performance in various sea conditions in Indonesia.
Co-Authors Al Farishi, Bilal Albertus Sulaiman, Albertus Aliffia Aliffia Alvito, Fahri Dean Annisa Permata Sari, Annisa Permata Apriani, Mutia Rahma Atmojo, Aulia Try Giovani, Muhammad Hasan, Muhammad Akmal Hendrawan, Rezki Naufan Jaelani, Lalu Muhamad Julianto, Romi Lea Kristi Agustina Lea Kristi Agustina Lea Kristi Agustina Mhd Irfansyah Munthe, Manson Brian Utama Nirmawana Simarmata Nurhayati, Misfallah Ongky Anggara Rahmadhani, Nina Simarmata, nirmawana Simbolon, Karti Sulaiman, Albertus Tri Kies Welly Welly, Tri Kies Wijayanti, Goldie Melinda