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All Journal Jurnal Kesehatan Masyarakat Syntax Literate: Jurnal Ilmiah Indonesia El-Jughrafiyah : Jurnal Geografi dan Terapannya Cross-border Innovative: Journal Of Social Science Research Jurnal Administrasi Negara
Dwi Arini
Institut Teknologi Padang
Religion Humanities Computer Science & IT Earth & Planetary Sciences Education Environmental Science Law, Crime, Criminology & Criminal Justice Physics Public Health Social Sciences Other

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Pemanfaatan Citra Landsat 8 untuk Mendeteksi Tingkat Kesehatan Tanaman Kelapa Sawit Menggunakan Metode Normalized Difference Vegetation Index (NDVI) di Kabupaten Bengkalis Kecamatan Mandau Dwi Arini; Silvina Mayang Sari; Dwi Marsiska Driptufany
EL-JUGHRAFIYAH Vol 2, No 2 (2022): El-Jughrafiyah : August, 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jej.v2i2.18744

Abstract

Tanaman Kelapa sawit yang identik dengan tanaman perkebunan memiliki peranan penting bagi masyarakat yang berprofesi sebagai petani. Kebutuhan akan tanaman kelapa sawit meningkatkan permintaan terhadap produksi minyak yang dihasilkan oleh tanaman tersebut sehingga kebutuhan akan lahan pertanian kelapa sawit juga meningkat layaknya lahan yang dimiliki oleh masyakarat di Kecamatan Mandau, Kabupaten Bengkalis. Tingkat perekonomian masyarakat sekitar daerah tersebut rata-rata tergantung pada lahan kelapa sawit, sehingga diperlukan monitoring tingkat kesehatan tanaman kelapa sawit yang menjadi tujuan dari penelitian ini dengan menggunakan metode Normalized Difference Vegetaion Index (NDVI). Data citra landsat 8 OLI di kecamatan Mandau digunakan sebagai data dasar dengan menganalisa objek pengamatan yang terdiri dari beberapa wilayah objek pengamatan satu hingga delapan belas (OP1 – OP18). Hasil menunjukan peta tingkat kesehatan kelapa sawit dengan klasifikasi tingkat kesehatan terbagi menjadi tiga (3) kelas, yaitu Kesehatan baik, normal, dan buruk. Nilai rentang NDVI 0,421 - 0,72 dengan luas 31.387,29 Ha dengan kesehatan baik, rentang NDVI 0,221 – 0,42 pada kesehatan normal dengan luas 7.192,35 Ha, dan kelas kesehatan buruk dengan luas 253,62 Ha pada rentang NDVI 0,1 – 0,22
PERBANDINGAN KEMAJUAN PROGRES TAMBANG BATUBARA DI PT SAMANTAKA PADA BULAN JULI-AGUSTUS TAHUN 2021 DENGAN BULAN FEBRUARI-MARET TAHUN 2022 Ristian Mades Vieri; Desi Syafriani; Dwi Arini; Defwaldi Defwaldi
Cross-border Vol. 6 No. 1 (2023): Januari-Juni
Publisher : Lembaga Penelitian Dan Pengabdian Masyarakat Institut Agama Islam Sultan Muhammad Syafiuddin Sambas Kalimantan Barat

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Abstract

Coal mining progress is a measurement activity that is carried out every day for as long as mining activities are carried out. The measurement of coal mining progress is carried out at the PT Samantaka mine which aims to determine the changes that occur in the mine, the progress of this mine is also carried out to determine the progress of the mine every month, both in knowing the land and remaining coal reserves and also to determine the coal production every month. the month. In addition, measuring mine progress is very important, because to find out the next mine design it is necessary to obtain a mine progress map first. Mine progress measurement to retrieve crees, toe, spot, floor and roof data. From this data, a map of mining progress and coal volume calculations can be obtained, volume calculations are usually carried out after the depiction is carried out, because volume calculations must obtain a 3D shape of coal for which volume will be calculated. The results of coal calculations are usually in the form of tonnage calculations. The results of the calculation of coal in 2021 in July and August there is a comparison of the volume of reserves with those in the stockpile is 908 tons and 2,883 tons, while in 2022 in February and March there is a volume comparison of 3,675 tons and 646 tons.
Pemetaan Rute Trans Padang Berbasis Webgis Dwi Arini; Martince Novianti Bani; Ilham Armi; Quinoza Guvil; Ade Fernando
Innovative: Journal Of Social Science Research Vol. 3 No. 3 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i3.2483

Abstract

Trans Padang merupakan layanan angkutan massal (Bus Rapid Transit - BRT) di kota padang. Seiring dengan peningkatan pelayanan maka Rute Trans Padang juga telah dikembangkan ke beberapa ruas jalan, seperti pada Jalan Bypass. Dalam upaya untuk memberikan informasi yang komprehensif bagi masyarakat sehingga dapat mengetahui dan mengakses jalur Trans Padang secara efektif, efisien, dan secara daring, maka dilakukan pemetaan pada rute tersebut. Selain itu, penelitian ini juga bertujuan untuk mengaplikasikan penggunaan WebGIS dalam pemetaan Jalur Trans Padang. Data jalur koridor, jumlah armada yang beroperasi dan sebaran halte yang berada pada setiap koridor menjadi data utama dalam proses pemetaan ini. Dari hasil overlay dan penyusunan basis data maka diperoleh informasi, antara lain Jalur Trans Padang koridor 1 dari Jalan Imam Bonjol ke Lubuk Buaya (batas kota) dan koridor 4 dari Bungus Teluk Kabung Ke Mato Aia. Lebih dari itu, juga dapat diketahui bahwa terdapat 25 armada yang beroperasi pada koridor 1 dan 10 armada pada koridor 4. Waktu pengoperasian armada juga menjadi salah satu informasi yang bisa didapatkan yaitu pukul 06.00 WIB – 21.00 WIB. Selain itu, pembuatan WebGIS pada Jalur Trans Padang dengan menggunakan web hosting yang dikenal dengan 000Webhost dapat diakses secara gratis oleh masyarakat awam serta pemula dalam pembuatan WebGIS.
The Spatial Pattern of the Spread of the COVID-19 Pandemic (Case Study: DKI Jakarta Province) Dwi Arini; Agung Syetiawan; Eliza Nanda Pitria; Ilham Armi
Jurnal Kesehatan Masyarakat Vol 19, No 1 (2023)
Publisher : Department of Public Health, Faculty of Sport Science, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v19i1.34015

Abstract

The COVID-19 pandemic has been running in Indonesia for more than two years. The first case was found in March 2020. DKI Jakarta as the capital city of the country with a high population density and an economic center that was threatened because the area has a high vulnerability to the spread of COVID-19. The number of confirmed cases that continue to soar and the spread that is difficult to be controlled have resulted in the DKI Jakarta government taking policies such as implementing large-scale social restrictions (PSBB), which aims to stop the spread of COVID-19 and to look for patterns of spread of COVID-19. This study uses a geographic information system in looking for patterns of the spread of COVID-19. The analytical method used is spatial autocorrelation, which is carried out using the Moran Index. In addition, the autocorrelation test was also carried out using a Local Indicator of Spatial Autocorrelation (LISA) with the results in the form of a cluster map and a map of significance. The Ordinary Least Squares analysis method is a regression technique that provides a global model for understanding and predicting variables in research. The correlation variables used in this research are Markets, Supermarkets, Buses, and Stations. The result of this study is the spatial autocorrelation of the pattern of spread of COVID-19 between villages and spatially the distribution pattern is clustered. In the OLS regression distribution pattern, the supermarket variable with an R-Squared value of 0.128555 or 12% affects the spread of COVID-19. Based on the calculation of R-Square, Koenker (BP) in addition to the OLS model, the assumption of homoscedasticity is not met, so the model is Ordinary Least Squares not good compared to other models in analyzing the pattern of the spread of COVID-19 in DKI Jakarta. 
PERUBAHAN RUANG TERBUKA HIJAU KECAMATAN KOTO TANGAH PERIODE TAHUN 2018-2022 Hadi Wiryanto; Dwi Arini; Fajrin Fajrin; Ilham Armi
Jurnal Administrasi Negara Vol. 2 No. 1 (2024): Januari
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Koto Tangah is one of the sub-districts in Indonesia, specifically in the city of Padang, West Sumatra province. Koto Tangah sub-district has an area of 232.25 km2 or around 33.42 percent of the total area of Padang City. Along with the development of Padang City in the last five years to be precise in 2018-2022. There are changes in Green Open Space that have occurred in the Koto Tangah District area. In this research, to determine changes in Green Open Space in Koto Tangah District, we use Geographic Information Systems (GIS) and Remote Sensing to detect changes in Green Open Space using Google Earth imagery in 2018. -2022 and to find out the pattern of green open space distribution using the nearest neighbor method or nearest neighbor analysis from the results of calculating the percentage (%) of the total area of Green Open Space in Koto Tangah District from 2018 to 2022, the result is that there is a decrease in the number of green open spaces available by 1, 1% with the total green open space area in 2018 amounting to 16,203, 3333 ha (73.5%) and the total green open space area in 2022 amounting to 15,870.92 ha (72.4%) from the area of Koto Tangah sub-district with the distribution pattern of the nearest green open space, then It is known that the distribution pattern of green open spaces is clustered. Based on Law No. 26 of 2007 concerning Spatial Planning, the proportion of green open spaces is at least 30 (thirty) percent of the city area. The total availability of green open spaces in Koto Tangah sub-district from 2018 to 2022 is sufficient.
Mapping Solar Energy Potential Based on Google Earth Engine (GEE) in West Sumatera Province Fahrezy Maulana Haz; Fajrin Fajrin; Dwi Arini; Ilham Armi; Defwaldi Defwaldi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i5.58645

Abstract

This study investigates the spatial distribution of solar energy potential in West Sumatera Province using Google Earth Engine (GEE) by integrating Himawari-8 and Sentinel-2 satellite data. The objectives are to identify regions with high solar irradiance and assess land use suitability for solar power plant development. Solar radiation models—DHI, DNI, and GHI—were computed and validated against NASA POWER data, achieving high model accuracy with RMSE values of 0.095, 6.43, and 0.05, and correlation coefficients of r = 0.93 across all models. The Mentawai Islands showed the highest GHI values (4,219.85 kWh/m²), while Dharmasraya had the highest DNI due to solar angle alignment. Land classification using Sentinel-2 imagery and the CART algorithm revealed that although 173,152.90 ha of forest land in West Siberut is highly irradiated, only 9.29 ha of nearby open land is recommended for development to minimize ecological impact. This integrative approach demonstrates how remote sensing and spatial modeling can inform sustainable energy planning. The findings provide a scalable framework for identifying viable sites for solar energy infrastructure in Indonesia, supporting both regional energy independence and national renewable energy targets.
Co-Authors Ade Fernando Agung Syetiawan Defwaldi Defwaldi Defwaldi Defwaldi Desi Syafriani Dwi Marsiska Driptufany Eliza Nanda Pitria Fahrezy Maulana Haz Fajrin Fajrin Fajrin Fajrin Hadi Wiryanto Ilham Armi Ilham Armi Martince Novianti Bani Ristian Mades Vieri Silvina Mayang Sari