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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

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

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.Â

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

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.

Pemodelan dan Visualisasi Kenaikan Muka Air Banjir di Sungai Batang Tarusan, Nagari Duku, Kecamatan XI Koto Tarusan Zuhrifal Canrata; Dwi Marsiska Driptufany; Ilham Armi; Defwaldi Defwaldi; 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.v8i1.948

The rise in water levels of the Batang Tarusan River in Nagari Duku during the flood event from March 4 to March 7, 2024, was identified, and modeling and visualization of floodwater level increases were developed using HEC-RAS and ArcScene software. The modeling was conducted using both one-dimensional (1D) and two-dimensional (2D) approaches. The analysis results indicate that the highest recorded water level elevation reached approximately 12 meters, with an average water level of 4.45 meters. The 1D modeling demonstrated a water level rise ranging between 7 and 8 meters at each cross-section, while the 2D modeling resulted in a water depth of up to 9.65 meters, with an average Water Surface Elevation (WSE) of 12 meters. The 3D visualization, utilizing Digital Terrain Model (DTM) data, which was integrated with the Animation Manager to simulate the rise in water levels from 4.45 meters to 12.45 meters in increments of 15 cm every 30 seconds.

Analisis Kawasan Rawan Bencana Kekeringan Menggunakan Sistem Informasi Geografis di Kabupaten Pesisir Selatan Dwi Marsiska Driptufany; Nasyahardian Nasyahardian; Ilham Armi; Fajrin Fajrin; Defwaldi Defwaldi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1157

Drought is one of the natural disasters that significantly affects people's lives, particularly in terms of clean water availability and the agricultural sector. Pesisir Selatan Regency is an area prone to drought due to prolonged dry seasons and decreased rainfall. This study aims to identify the level of drought vulnerability and map the distribution of drought-prone areas in Pesisir Selatan Regency using a scoring method based on Geographic Information Systems (GIS). The parameters used in the analysis include land use, slope gradient, rainfall, soil type, and river networks. The data were obtained from administrative maps, spatial data, and hydrological and climatological information. The results show that most areas in Pesisir Selatan Regency fall into the moderate vulnerability category, while areas with high vulnerability are commonly found in residential and rice field zones. In contrast, areas with low vulnerability are located near water bodies and are highly influenced by high rainfall levels.

Pemetaan dan Analisis Spasial Kasus Stunting di Kota Padang Zurliliani Zurliliani; Dwi Marsiska Driptufany; Ilham Armi; Fajrin Fajrin; Dwi Arini
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1163

Stunting remains one of the major chronic nutritional issues in Indonesia. According to the 2021 Indonesia Nutrition Status Study (SSGI), the national stunting prevalence reached 24.4%, while in West Sumatra Province it was recorded at 25.2% in 2022. Although Padang City showed a significant decrease to 3.7% based on 2023 e-PPGBM data, continuous intervention is still necessary. Various socioeconomic factors such as parental education, family income, number of children, and household size have been shown to influence the incidence of stunting. However, spatial-based approaches to analyze the distribution of stunting cases at the local level remain limited. This study aims to map and analyze the spatial pattern of stunting in Padang City using Geographic Information Systems (GIS). This method enables a geographic visualization of case distribution, supporting more targeted policy decisions. The findings of this study are expected to provide accurate spatial data to strengthen integrated and sustainable efforts in stunting prevention in urban areas.

Pemetaan Kawasan Rawan Banjir dan Longsor Berbasis Sistem Informasi Geografis di Kabupaten Sijunjung Dwi Marsiska Driptufany; Herlan Roy Andika; Fajrin Fajrin; Defwaldi Defwaldi; Ilham Armi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1209

Sijunjung Regency is one of the regencies in West Sumatra Province which is located in an area prone to landslides, earthquakes, fires and floods. Floods and landslides often occur due to changing river flow patterns, erosion and sedimentation in the Batang Ombilin, Batang Sukam, and Batang Palangki rivers, as well as the geology of Sijunjung Regency which mostly consists of rocks. This study aims to map the spatial distribution of areas prone to floods and landslides in Sijunjung Regency based on Geographic Information Systems (GIS) using scoring and weighting methods as well as parameters that compose the vulnerability which are then overlay. The parameters used in the analysis include land use, slope gradient, land elevation, rainfall, soil type, rock type and river network. The data used comes from administrative maps, spatial data, and regional hydrological and climatological information. The research found that flood-prone areas in Sijunjung Regency are dominated by moderate areas 68%, high areas 9%, and low areas 23%. The verification rate was 75%.

Pemetaan Kawasan Terdampak Akibat Lahar Dingin Gunung Marapi dan Sekitarnya Menggunakan Citra Satelit Sentinel -2: (Studi Kasus: Kecamatan Sungai Pua, Kabupaten Agam) Reni Puspita Sari; Dwi Arini; Dwi Marsiska Driptufany; Fajrin Fajrin; Ilham Armi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1210

Mount Marapi is one of the active volcanoes in West Sumatra, which erupted on December 3, 2023, followed by heavy rainfall that triggered a cold lava flood. This event caused damage to land, infrastructure, and vegetation around Sungai Pua Subdistrict, Agam Regency. This study aims to analyze vegetation density changes before and after the lahar event and to map the affected areas using Sentinel-2 satellite imagery, applying the Normalized Difference Vegetation Index (NDVI) and spatial overlay methods. The results show a decrease in very dense vegetation from 623.127 ha (42.38%) to 199.095 ha (13.54%), and an increase in poor vegetation from 354.269 ha (24.09%) to 551.566 ha (37.50%). The total vegetation density change reached 734.03 ha out of 1,470.32 ha. Identification of affected areas also indicates that the lahar spread along river channels from the summit to the slopes, with an affected area of 110.832 ha. These areas include agricultural land, plantations, and settlements along the riverbanks that were damaged by volcanic materials.

Sistem Informasi Pariwisata Kabupaten Agam Sumatera Barat Berbasis Webgis Dwi Marsiska Driptufany; Ahmad fikri; Fajrin Fajrin; Defwaldi Defwaldi; Ilham Armi
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1211

Tourism is a strategic sector in regional development. Agam Regency offers a variety of tourism potential, including natural, cultural, religious, and artificial attractions. However, information about these attractions is still fragmented and unintegrated. This study aims to identify the distribution of tourist attractions and design a WebGIS-based tourism information system. Primary data were collected through field observation and documentation, while secondary data were obtained from government agencies. Spatial data were processed using QGIS and ArcGIS, non-spatial data were stored in MySQL, and the system was developed using HTML, CSS, JavaScript, PHP, and XAMPP. The results indicate that the system successfully displays interactive maps, provides detailed descriptive information, and is compatible across devices. The user feedback has been positive, indicating high satisfaction with the system. This WebGIS-based system proves to be an effective tool for tourism promotion and management, helping Agam Regency integrate its tourism potential and make it more accessible to tourists and stakeholders alike.

Komparasi Suhu di Wilayah Pasaman Barat Menggunakan Citra Landsat 8 dan Landsat 9 Berbasis Google Earth Engine Selly Selvina; Fajrin Fajrin; Dwi Marsiska Driptufany; Ilham Armi
Jurnal Sains dan Ilmu Terapan Vol. 9 No. 1 (2026): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v9i1.1381

West Pasaman Regency has varied topography that influences land surface temperature (LST) distribution. This study analyzes LST patterns and compares estimates from Landsat 8 and Landsat 9 imagery in 2024 using a quantitative remote sensing approach via Google Earth Engine. LST was derived from thermal infrared bands, while vegetation influence was assessed using NDVI and Pearson correlation. Results show uneven temperature distribution affected by topography, vegetation cover, and land use. Landsat 9 produced slightly higher average temperatures (±30–38 °C) than Landsat 8 (±26–32 °C). A strong correlation was found between both datasets, with a negative correlation between NDVI and LST, indicating that denser vegetation corresponds to lower surface temperatures. Both satellites are suitable for LST analysis, with Landsat 9 showing higher sensitivity.

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