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All Journal Jurnal Environmental Science El-Jughrafiyah : Jurnal Geografi dan Terapannya Jurnal Sains dan Ilmu Terapan
Fajrin Fajrin
Institut Teknologi Padang
Astronomy Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Physics Social Sciences

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Pemetaan 3D Bangunan Cultural Heritage Panggung Krapyak Dengan Teknik Close Range Photogrammetry Fajrin Fajrin; Poundra Sukma Apriliansyah; Defwaldi -
EL-JUGHRAFIYAH Vol 2, No 1 (2022): El-Jughrafiyah : February, 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (582.153 KB) | DOI: 10.24014/jej.v2i1.16316

Abstract

Pelestarian bangunan cagar budaya didukung pendokumentasian sebagai data acuan dalam upaya pemeliharaan sehingga diperlukan pengukuran dan penyajiaan data. Alternatif penyajian informasi data tiga dimensi untuk pendokumentasian bangunan cagar budaya diharapkan memiliki ukuran dimensi yang baik. Pentingnya pendokumentasian dalam bentuk model tiga dimensi disebabkan masalah acuan bentuk mengembalikan wujud asli dari pada konstruksi bangunan yang sudah tua bila terjadi kerusakan terutama runtuh akibat gempa bumi. Salah satu metode yang bisa dikembangkan adalah pendokumentasian tiga dimensi berbasis foto, yaitu dengan teknik fotogrametri jarak dekat. Foto teristris dikenal dengan Close Range Photogrammetry adalah teknik akuisisi data menggunakan kamera yang terletak di darat dengan jarak kurang dari 100 m. Penelitian ini menerapkan teknik close range photogrammetry dengan metode konvergen untuk bangunan cagar budaya Panggung Krapyak menggunakan kamera non-metrik. Titik acuan (BM), titik ikat (GCP), titik sampel detail, dan titik pengecekan (ICP) diukur menggunakan total station. Pemodelan 3D diproses menggunakan perangkat lunak agisoft photoscan professional secara otomatis. Proses analisis dilakukan perbandingan ukuran dimensi hasil model 3D dengan ukuran sebenarnya di lapangan untuk menunjukkan nilai kesalahan geometri bangunan. Pada kasus ini adalah bagaimana teknik fotogrametri jarak dekat dapat menjadi alternatif dalam pendokumentasian bangunan untuk menyajikan informasi data tiga dimensi dengan ketelitian yang baik yang selanjutnya digunakan sebagai data acuan dalam kegiatan monitoring konservasi jangka panjang dan perencanaan rekonstruksi bangunan. Hasil penelitian ini menghasilkan jumlah points density 0,457 points/cm², 21.914 tie points, 3.395.055 dense point clouds, dan 224.868 faces dengan ketelitian ground resolution sebesar 0,37 cm/pix sehingga 1 pix memiliki nilai sebenarnya 0,37 cm di lapangan serta ukuran dimensi model 3D menghasilkan rata-rata selisih jarak sebesar 0,0268 m dan rata-rata selisih tinggi sebesar 0,0340 m. Berdasarkan penelitian yang telah dilakukan disimpulkan bahwa teknik fotogrametri jarak dekat dapat diterapkan dalam pendokumentasian bangunan cagar budaya sebagai alternatif penyajian informasi data tiga dimensi dengan ketelitian yang baik.
Pemanfaatan Penginderaan Jauh Untuk Mengidentifikasi Kepadatan Bangunan Menggunakan Interpretasi Hibrid Citra Sentinel-2a Di Kota Padang Indah Fultriasantri; Fajrin Fajrin
Jurnal Environmental Science Vol 5, No 2 (2023): April
Publisher : UNIVERSITAS NEGERI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jes.v5i2.43339

Abstract

Kota adalah kawasan padat permukiman pusat berbagai kegiatan aktifitas masyarakat seperti pemerintahan, perkantoran, pendidikan, dan sosial-ekonomi serta memiliki batas wilayah administrasi diatur dalam undang-undang yang memperlihatkan ciri kehidupan masyarakat perkotaan. Perkembangan sebuah kota selalu dihapadi dengan masalah kependudukan, karena semakin terkonsentrasi aktivitas penduduk yang banyak di pusat kota mengakibatkan terjadinya pembangunan yang intensif untuk memenuhi lahan permukiman akibat peningkatan fasilitas pelayanan masyarakat, sehinggan kota dipenuhi dengan padatnya bangunan. Oleh karena itu dilakukanlah penelitian ini di Kota Padang untuk memetakan sebaran kepadatan bangunan serta mengetahui tingkat akurasi kepadatan bangunan dengan interprestasi hibrid. Penelitian ini memanfaatkan data penginderaan jauh yaitu citra Sentinel-2A dengan metode interprestasi hybrid menggunakan indeks NDBI (Normalized Difference Built-up Index) dan autokorelasi sapasial kepadatan bangunan serta penggujian akurasi Kappa.. Hasil autokorelasi identifikasi kepadatan bangunan diperoleh nilai Moran’s I adalah sebesar -0.106659, nilai ini termasuk dalam autokorelasi negatif yang menunjukkan bahwa lokasi-lokasi berdekatan memiliki karakteristik dan nilai yang berbeda cendrung menyebar atau menggambarkan pola ketetanggan berkelompok yang tidak sistematis. Sedangkan hasil perhitungan uji akurasi untuk nilai akurasi keseluruhan (Overall Accuracy) yaitu sebesar 92% dan akurasi Kappa (Kappa Accuracy) sebesar 0,88 dikatan baik dan dapat diterima.
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.
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

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 Mulki Alhamdi; 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 Gilang Ramadhon; 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.
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

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.
Co-Authors Afandi Haris Ahmad fikri Andila Rahma Putri Aswir Premadi Defwaldi - Defwaldi Defwaldi Dwi Arini Dwi Marsiska Driptufany Fauzil Azim Gilang Ramadhon Herlan Roy Andika Ilham Armi Ilham Syaputra Indah Amallia Fitri Indah Fultriasantri Mulki Alhamdi Nasyahardian Nasyahardian Poundra Sukma Apriliansyah Puja Kharisma Rafli Aroyan Reni Puspita Sari Selly Selvina Viyona Ganessa Putri Yudha Chairul Anami Zuhrifal Canrata Zurliliani Zurliliani