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All Journal Jurnal Kesehatan Masyarakat El-Jughrafiyah : Jurnal Geografi dan Terapannya Cross-border Innovative: Journal Of Social Science Research Jurnal Sains dan Ilmu Terapan Jurnal Administrasi Negara
Dwi Arini
Institut Teknologi Padang
Religion Humanities Computer Science & IT Earth & Planetary Sciences Education Engineering 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; Ilham Armi
ADMIN: Jurnal Administrasi Negara Vol. 1 No. 6 (2024): Jurnal Administrasi Negara
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.
Integrasi SIG Dan Penginderaan Jauh Untuk Pemetaan Kesehatan Perkebunan Kelapa Sawit: Studi Kasus: Kecamatan Sangir Balai Janggo, Kabupaten Solok Selatan, Sumatera Barat Indah Amallia Fitri; Dwi Arini; Fajrin Fajrin
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 1 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i1.922

Abstract

Sangir Balai Janggo District has many productive oil palm plantations, making it an ideal location for research related to oil palm plant health. Oil palm is a major commodity in Indonesian plantations, so mapping its health is crucial for sustainable agricultural management. This study aims to analyze the health of oil palm plants using the integration of Geographic Information Systems (GIS) and Remote Sensing with the Normalized Difference Vegetation Index (NDVI) method based on Sentinel-2A imagery. The results of the study show that the health of oil palm plants in Sangir Balai Janggo District is divided into four categories: very healthy (26,967.40 Ha; NDVI 0.66-0.87), fairly healthy (3,228.31 Ha; NDVI 0.33-0.66), unhealthy (547.75 Ha; NDVI 0-0.33), and dead (10.53 Ha; NDVI -0.33 - 0). The total area of oil palm plantations reaches 30,753.62 Ha. This study demonstrates that the integration of GIS and remote sensing is highly effective in accurately and efficiently mapping the health condition of oil palm plantations.
Evaluasi Kesesuaian Penggunaan Lahan Kota Jambi Tahun 2024 Terhadap Rencana Tata Ruang Wilayah Kota Jambi 2013-2033 Dwi Marsiska Driptufany; Ilham Syaputra; Fajrin Fajrin; Defwaldi Defwaldi; Dwi Arini
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 1 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i1.926

Abstract

Urban growth, both physical and non-physical, continues to increase, particularly in non-agricultural sectors such as settlements. Between 2000 and 2020, Jambi City experienced rapid and dense urban growth (Nugroho et al., 2022). Development must be carried out in accordance with the Regional Spatial Plan (RTRW) as stipulated in the Spatial Planning Law. This study aims to evaluate the current land use in Jambi City in 2024 to determine whether it aligns with the Jambi City RTRW for the period of 2013-2033. The method used in this research is overlay analysis, which involves combining attributes from the land use map and the spatial planning map of the RTRW. The results indicate that land use in Jambi City is predominantly residential (6,144.76 ha), followed by fields/cultivated land (5,468.64 ha), and shrubland (1,455.97 ha). The spatial utilization compatibility rate reaches 89.11%, demonstrating that the land use in Jambi City is in accordance with the established RTRW.
Pemetaan Kesesuaian Pemanfaatan Lahan Perkebunan Kelapa Sawit di Kabupaten Dharmasraya Fauzil Azim; Dwi Arini; Fajrin Fajrin; Defwaldi Defwaldi; Dwi Marsiska Driptufany
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 1 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i1.928

Abstract

The majority of Indonesians work as farmers, and oil palm plantations have become one of the key pillars in Indonesia's economy. This commodity contributes significantly to the country's foreign exchange, employment opportunities, and economic growth across various regions, particularly in Sumatra. Dharmasraya Regency, located in West Sumatra, is one of the areas with a substantial area of oil palm plantations. Therefore, it is essential to conduct a detailed land suitability mapping to ensure that the development is carried out sustainably and does not harm the environment. In this study, the overlay method was applied, considering several parameters such as slope, surface temperature, rainfall, soil texture, and elevation. The results of this study produced a land suitability map for oil palm plantations, which indicates the suitability levels of the land. (S1) Highly Suitable with an area of 57,107.17 ha, (S2) Suitable with an area of 53,217.43 ha, (S3) Less Suitable with an area of 167,281.13 ha, and (N) Not Suitable with an area of 25,211.35 ha.
Survei Batimetri Menggunakan Wahana USV (Unmanned Surface Vehicle) pada Perairan Dangkal dan Uji Kualitas Data Sesuai Standar IHO S44 Tahun 2022: (Studi Kasus Embung Sungai Nanam, Kabupaten Solok) Fajrin Fajrin; Afandi Haris; Dwi Arini; Aswir Premadi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 1 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i1.931

Abstract

A bathymetric survey is an activity aimed at depicting the depth contour lines of a water body, encompassing measurement, data processing, and visualization stages. Conducting a bathymetric survey in shallow waters, such as reservoirs, estuaries, lakes, dams, or sedimentation areas, often presents challenges when using large vessels. One of the technologies for performing bathymetric surveys in shallow waters is the use of an Unmanned Surface Vehicle (USV), which facilitates data collection while offering flexibility, efficiency, and effectiveness. The study aims to produce a bathymetric map from bathymetric measurement data using a USV (Unmanned Surface Vehicle) corrected with real-time tidal data and to determine the data quality order according to the IHO (International Hydrographic Organization) S44 Edition-6 Standard of 2022.
Analisis Kemampuan Lahan di Kota Padang Berbasis Sistem Informasi Geografis Dwi Marsiska Driptufany; Bagus Arie Ramadhan; Ilham Armi; Dwi Arini; Defwaldi Defwaldi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 1 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i1.936

Abstract

Land capability encompasses soil characteristics, topography, drainage, and environmental factors that support activities in a given area. Improper land use without conservation efforts can accelerate erosion and reduce productivity. Padang City is classified as a disaster-prone area due to its coastal location, low-lying land, high rainfall, and numerous rivers. Population growth increases the demand for built-up areas and water absorption land. This study analyzes land capability classifications in Padang City using a Geographic Information System (GIS) with a descriptive quantitative approach. The results indicate four land capability categories: very high, relatively high, moderate, and low. The majority of the area (45.88% or 31,843.30 ha) falls into the moderate category, allowing development with proper management. Areas with very high (22.79% or 15,816.54 ha) and relatively high (19.32% or 13,409.84 ha) capability are generally found in stable lowland areas, making them suitable for urban activities. Meanwhile, low-capability areas (12% or 8,328.52 ha) are located in steep hilly regions that require special management attention.
Co-Authors Ade Fernando Afandi Haris Agung Syetiawan Andila Rahma Putri Aswir Premadi Bagus Arie Ramadhan Defwaldi Defwaldi Defwaldi Defwaldi Desi Syafriani Dwi Marsiska Driptufany Eliza Nanda Pitria Fajrin Fajrin Fajrin Fajrin Fauzil Azim Gilang Ramadhon Hadi Wiryanto Ilham Armi Ilham Armi Ilham Syaputra Indah Amallia Fitri Martince Novianti Bani Mulki Alhamdi Rafli Aroyan Reni Puspita Sari Ristian Mades Vieri Silvina Mayang Sari Ulfah Umniyyah Yudha Chairul Anami Zurliliani Zurliliani