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Pemodelan dan Visualisasi Kenaikan Muka Air Banjir di Sungai Batang Tarusan, Nagari Duku, Kecamatan XI Koto Tarusan Canrata, Zuhrifal; 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

Abstract

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.
Pemetaan Kerusakan Jalan Berbasis Fotogrametri Menggunakan UAV Alhamdi, Mulki; Dwi Arini; Dwi Marsiska Driptufany; 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.v8i1.958

Abstract

Transportation infrastructure is essential for economic development and social activities. In areas like the Koto Tangah Batu Hampa–Barulak road in Akabiluru District, severe road damage hampers accessibility. Traditional manual inspections for assessing pavement damage are time-consuming and inefficient. This study utilizes Unmanned Aerial Vehicles (UAVs) to observe the distribution and classification of road surface damage through aerial imagery.A descriptive quantitative method was applied by comparing direct field measurements with UAV-captured photos. The process included aerial image acquisition, field validation, and spatial analysis using on-screen digitization. The study identified 55 damage points along a 350-meter road segment, with a total road surface of 2,087.61 m² and damaged area of 578.94 m². Four types of damage were detected: Edge Cracks, Potholes, Alligator Cracks, and Patches. The results confirm that UAV-based photogrammetry offers a fast, accurate, and efficient approach to monitoring road conditions. This method provides valuable data for infrastructure planning and maintenance, especially in remote or large-scale areas.
Analisis Perubahan Tutupan Lahan di Kabupaten Muaro Jambi Menggunakan Metode Klasifikasi Random Forest Ramadhon, Gilang; Dwi Arini; Dwi Marsiska Driptufany; 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.v8i1.960

Abstract

MuaroxJambi District is the district in Jambi Province with the largest burned area among the districts/cities affected by forest and land fires in the last eight years. The high incidence of forest and land fires will affect thexamount of land cover. The high incidence of forestxand land fires will affect the amount of land cover in the affected areas. The higher the number of forest and land fires in the area, the more the amount of land cover loss will increase. This study aims to analyze land cover changes in Muaro Jambi Regency between 2018 and 2023 usingxthe Random Forest classification algorithm on Landsat 8 OLI satellite images through the Google Earth Engine platform. Significant land use changes, such as conversion of forests and shrubs to plantations and built-up land, were observed through remote sensing-based spatial analysis.
Dinamika Temperatur Permukaan Tanah di Kota Pariaman Berdasarkan Citra Satelit Ridho Illahi; Fajrin Fajrin; Ilham Armi; Dwi Marsiska Driptufany; Defwaldi Defwaldi
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i2.5755

Abstract

Changes in land surface temperature are one of the important indicators in monitoring global environmental change. In the last decade, increasing surface temperatures have become a global concern, as they have the potential to affect ecosystems, air quality, water availability and human health. In addition, increasing land surface temperature also has a direct impact on the urban heat island phenomenon, which can worsen environmental conditions in urban areas. In this context, analyzing periodic changes in land surface temperature is important to understand the patterns and factors that influence these changes. The objectives in conducting this research, namely: Analyzing the land surface temperature, Creating a regional land surface temperature map and Analyzing changes in land surface temperature from the land surface temperature map of Pariaman City in 2015, 2019, and 2023. Based on the results of the analysis of changes in land surface temperature using Landsat 8 OLI/TIRS images in 2015, 2019, and 2023, it was found that there were significant variations in temperature changes in several areas. Landsat 8 image data is processed through several stages, starting from converting Digital Number (DN) values to spectral radians, brightness temperature, to estimating Land Surface Temperature (LST) in Celsius units. The analysis shows that there was a significant increase in land surface temperature during the period, especially in urban and coastal areas. In 2015, the majority of areas had temperatures of 20°C-24°C, while in 2019 it shifted to 24°C-28°C, and in 2023 it was dominated by temperatures of 28°C-32°C and above 32°C. These changes reflect a significant local warming trend, influenced by human activities and land use change. This research is expected to contribute to the understanding of environmental dynamics and support spatial planning that is more adaptive to climate change.
Analisis Ketelitian Horizontal Pengukuran Orthofoto Menggunakan DJI Mavic 3 Enterprise Metode RTK dan PPK Ary Pratama Putra; Fajrin Fajrin; Dwi Arini
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 3 No. 3 (2025): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v3i3.1065

Abstract

Aerial photo measurement aims to provide a real, fast, and interactive representation of the Earth's surface. Various methods of aerial photo acquisition and correction can be applied to obtain accurate results. The primary objective is to produce photos that present reliable and precise information consistent with actual conditions. A commonly used method in aerial photo mapping is the utilization of unmanned aerial vehicles (UAVs). The correction methods applied include direct correction, known as the Real-Time Kinematic (RTK) method, and post-processed correction, known as the Post-Processed Kinematic (PPK) method. This study aims to identify the highest horizontal orthophoto quality based on the Indonesian Geospatial Information Agency Regulation (BIG) No. 6 of 2018 concerning RBI map accuracy, by comparing the RTK and PPK methods, as well as variations in flight altitude during UAV data acquisition. The research conducted in Lemo II Village, Teweh Tengah District, North Barito Regency, Central Kalimantan Province revealed that the highest horizontal orthophoto quality was achieved using the PPK correction method at a flight altitude of 120 meters, with a horizontal RMSE value of 0.048 meters and an accuracy of 0.073 meters, which meets Class 1 standards at a 1:1000 scale. These values were obtained from tests conducted on 15 ICP points. Additional tests performed to determine the significance of model and method differences indicated that variations in flight altitude and photo correction methods have a significant impact on horizontal orthophoto quality.
Perbandingan Volume Run Of Mine dengan Menggunakan Data Hasil Pengukuran Terrestrial Laser Scanner dan Unmanned Aerial Vehicle Ahmad Sohibul Borhan; Fajrin Fajrin; Dwi Arini
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 3 No. 3 (2025): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v3i3.1066

Abstract

Coal is one of the main energy sources and the largest contributor to national revenue; however, its management faces challenges related to limited availability and accuracy in reserve estimation. An essential aspect of mining management is monitoring the Run of Mine (ROM) volume, which plays a critical role in crushing, washing, and blending processes. This study aims to compare the accuracy of ROM volume measurements using Terrestrial Laser Scanner (TLS) and Unmanned Aerial Vehicle (UAV) methods in the production area of PT FAD, Berau Regency, East Kalimantan. A quantitative descriptive approach was employed, involving field data acquisition, three-dimensional modeling, and volume analysis using specialized software. The results show that ROM volume measured with TLS was 1,407.669 lcm, while UAV produced 1,387.357 lcm, with a difference of 20.312 lcm or 1.45%. This deviation is within the ASTM D6172-98 tolerance limit (<2%), indicating that both methods are valid. Although TLS offers higher accuracy, UAV is more effective and efficient in terms of measurement time, making it a reliable alternative for modern mining monitoring. This study provides practical insights for the mining industry in selecting ROM volume measurement methods that are not only accurate but also efficient in supporting sustainable operations and data-driven decision-making.
Analisis Perubahan Tutupan Lahan Tahun 2013 Sampai 2024 di Kota Pariaman Yollanda Septiani; Fajrin Fajrin; Defwaldi Defwaldi
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 3 No. 3 (2025): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v3i3.1067

Abstract

This study aims to analyze land cover changes in Pariaman City in 2013, 2018, and 2024 using Landsat-8 imagery with the support of the Google Earth Engine (GEE) platform and the Classification and Regression Trees (CART) algorithm. Land cover change is a critical issue in Pariaman City, as population growth, infrastructure development, and economic activities have driven significant land conversion. The classification generated eight land cover classes representing the general condition of the area. The analysis revealed that rice fields were the dominant land cover in all three periods; however, they experienced a substantial decline, indicating land conversion, particularly into settlements and road networks. In addition, the area of mangrove forests and water bodies in coastal regions decreased, while plantation areas in the eastern and southern parts of the city increased. Conversely, river land cover remained the smallest category, with annual fluctuations. The identified change patterns included urban sprawl (expansion of settlements into suburban areas), the conversion of productive land into infrastructure, and coastal degradation due to human activities and natural factors. The accuracy assessment produced overall accuracy and a Kappa index above 80%, while validation using the Mapping Accuracy method through Google Earth showed per-class accuracy rates above 75%, categorized as very good. These findings indicate that the use of satellite imagery and the CART algorithm in GEE is effective for monitoring land cover dynamics while providing valuable insights for local governments in formulating sustainable development policies and managing coastal environments such as those in Pariaman City.
Analisis Kawasan Rawan Bencana Kekeringan Menggunakan Sistem Informasi Geografis di Kabupaten Pesisir Selatan Marsiska Driptufany, Dwi; Nasyahardian Nasyahardian; Armi, Ilham; 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

Abstract

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

Abstract

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.
Analisis Perbandingan Ketelitian Pengukuran Terrestrial Laser Scanner (TLS) dan Handheld Slam Lidar untuk Pemetaan dalam Ruangan : (Studi Kasus: PT. Asaba) Andila Rahma Putri; Dwi Arini; 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.v8i2.1203

Abstract

Due to the rapid development of mapping technology using lasers, especially in the context of indoor mapping, such as Terrestrial Laser Scanners and Handheld SLAM LiDAR, it is necessary to understand the advantages and disadvantages of each technology. Therefore, it is necessary to validate both technologies to ensure their accuracy and reliability. The objective of this study is to identify the accuracy of the data produced by Terrestrial Laser Scanners and Handheld SLAM LiDAR by comparing the measurement results obtained using these methods with data obtained from an Electronic Total Station (ETS). The Total Station is used as a validation tool because of its higher accuracy compared to the LiDAR technology used in Terrestrial Laser Scanners and Handheld SLAM LiDAR.