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All Journal POSITRON Geoplanning : Journal of Geomatics and Planning GRADIEN Jurnal Fisika FLUX Jurnal Geocelebes Jambura Journal of Mathematics Indonesian Journal of Community Empowerment and Service Jurnal Geosaintek
Rida Samdara
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Humanities Earth & Planetary Sciences Education Energy Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Mapping Landslide Vulnerability using Machine Learning Approach along the Taba Penanjung-Kepahiang Road, Bengkulu Province Abrar, Camelia Batun; Lubis, Ashar Muda; Fadli, Darmawan Ikhlas; Akbar, Arya J; Samdara, Rida
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.43-56

Abstract

Landslides occur when masses of rock, debris or soil move due to various factors and processes that cause land movement. The Taba Penanjung-Kepahiang route is one of the areas in Bengkulu Province that is highly prone to landslides. This causeway is the only fastest land route connecting the Bengkulu-Kepahiang area. In recent years, the road area has often been cut off due to landslides and fallen trees, which have caused road access to be cut off and obstructed and claimed lives. This study uses a Machine Learning (ML) and GIS approach with Variable Frequency Ratio using 16 independent factors obtained from the spatial database and DEM, which correlate with landslide events. This research aims to gain an in-depth understanding of the factors that cause landslides. In addition, the research focus is the development of a Disaster Mitigation Model to design and implement effective strategies to reduce the risk and impact of landslide disasters through in-depth analysis The dependent factor is the location of the landslide from the historical landslide area for the last five years, with a distribution of 70/30%. Furthermore, frequency ratio is used to analyze the correlation between conditioning factors and historical landslides. Then, the independent and dependent factors were normalized to create a landslide susceptibility map. Frequency Ratio (FR) indicates the likelihood of an event occurring, with drainage density (FR= 0.69), shear wave velocity (Vs30) (FR= 0.66), slope (FR= 0.60), and rainfall (FR= 0.55).  The output of the processed data is in the table below.
Pemanfaatan Cocopeat dan Pasir Untuk Bertanam Sawi Pakcoy Dengan Media Tanam Box Kayu di Lahan Sempit Dilengkapi Penyiraman Model Sprinkle Sprayer Otomatis Bagi Kelompok PKK Melati Desa Talang Pauh Kelapa Bengkulu Tengah Halauddin; samdara, rida; Suhendra
Indonesian Journal of Community Empowerment and Service (ICOMES) Vol. 4 No. 2 (2024): December 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/icomes.v4i2.37980

Abstract

This Community service activities have been carried out for the Science and Technology Faculty of Mathematics and Natural Sciences, Bengkulu University with the title: "Using Cocopeat and sand to plant Pakcoy mustard greens using wooden box planting media in narrow land equipped with automatic sprinkle sprayer model watering for the family welfare program Melati group, Talang Pauh Kelapa Village, Central Bengkulu". This science and technology service activity aims to provide additional knowledge to the family welfare program Melati Group to be able to cultivate Pakcoy mustard plants using Cocopeat and sand planting media in wooden boxes as well as installing and using a rotating garden model Sprinkler Sprayer watering tool to maintain the stability of the watering system so that it is even and watering system no longer conventional. From the results of the implementation of the science and technology service at the Faculty of Mathematics and Natural Sciences, Bengkulu University in 2024, the target audience, in this case the family welfare program Melati group, Talang Pauh Village, was able to cultivate Pakcoy mustard plants using Cocopeat and sand planting media in wooden boxes as well as installing and using a garden model Sprinkler Sprayer watering tool.
ESTIMASI DEFORMASI INTERSEISMIC DI DAERAH PANTAI BENGKULU BAGIAN SELATAN DENGAN MENGGUNAKAN METODE SURVEY GPS GEODETIK Lubis, Ashar Muda; Wahyu, Mia; Sahputra, Rio; Samdara, Rida
Jurnal Geosaintek Vol. 7 No. 2 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

Telah dilakukan pengamatan deformasi pada kawasan pesisir pantai dalam siklus interseismic dengan menggunakan Global Positioning System (GPS) pada lima titik pemantauan di wilayah Bengkulu bagian selatan. Pengamatan GPS dilakukan dalam kurun waktu 2019-2020 kecuali untuk stasiun DEYU pada kurun waktu 2014-2016. Pengolatan data GPS dilakukan dengan menggunakan software GAMIT/GLOBK. Hasil pengolahan berupa posisi harian GPS time series dalam komponen utara dan timur yang kemudian dilakukan linear fit untuk mendapatkan vektor pergeseran. Kecepatan pergerakan pada stasiun GPS berada 22,23-27,67 mm/tahun dengan error pengukuran < 2,5 mm/tahun. Dari hasil penelitian ini menunjukkan adanya aktivitas deformasi interseismic di wilayah pesisir Bengkulu bagian selatan dengan arah vektor pergeseran hasil pengamatan menuju ke arah timur laut. Vektor pergerakan interseismic yang teramati masih perlu dikoreksi terhadap rotasi Blok Sunda, sehingga vektor pergerakan interseismic yang diperoleh hanya berasal dari pergerakan zona subduksi Sumatera dan sesar Sumatra yang berguna sebagai input pada pemodelan potensi kegempaan di Sumatra khususnya di daerah Bengkulu.
Microclimatic Temperature Variability and Trends in Bengkulu Province: ANOVA and Regression-Based Analysis Norfahmi, Siti Hairunnisa; Samdara, Rida; Supiyati, Supiyati; Lestari, Wina Ayu
Jambura Journal of Mathematics Vol 7, No 2: August 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i2.33376

Abstract

This study investigates the microclimatic variability and trends of air temperature across three meteorological stations—Fatmawati, Bengkulu, and Kepahiang—in Bengkulu Province, Indonesia. Using five years of daily data (June 2020 to May 2025), minimum (Tmin), maximum (Tmax), and average (Tavg) temperatures were analyzed to understand both spatial patterns and temporal changes in surface air temperature. One-way ANOVA was conducted to assess whether mean temperatures differed significantly across stations, followed by Tukey  post hoc test for pairwise comparisons. The analysis revealed a consistent and statistically significant difference in all temperature variables (p 0.05), particularly between the inland highland station (Kepahiang) and the two coastal stations. In addition, monthly averages of Tavg were analyzed using simple linear regression, with significance tested via regression-based ANOVA. All three stations exhibited statistically significant warming trends (p 0.005), with slopes ranging from +0.0152 to +0.0213 °C/month (~0.18–0.26 °C/year), despite relatively modest coefficients of determination (R² = 0.14–0.24). These results highlight a dual climatic dynamic in the region: strong seasonal and spatial variability, overlaid with emerging baseline warming. The study underscores the importance of localized climate analysis for adaptation planning, particularly in topographically diverse tropical regions facing increased exposure to climate variability and change.
Relocation of the Hypocenter of an Earthquake with the Double Difference Method in the Mentawai Hanifah Maulani, Siti; Refrizon, Refrizon; Samdara, Rida; Agung Satria, Lori; Ahadi, Suaidi
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.43009

Abstract

This research aimed to accurately relocate the hypocenter of earthquakes in the Mentawai region to enhance precision in hypocenter determination. The arrival time data used were secondary data recorded in the seiscomp4 software at BMKG Class I Padang Panjang. The dataset comprised 66,979 arrival time data point form 2,380 earthquakes that occurred between September 2023 and September 2024. The Double-difference method, utilizing the Crust 2.0 velocity models, was employed for the relocation process. This method evaluated two hypocenters using a single recording station, provided that the distance between the hypocenters was less than the distance to the recording station. The HypoDD program was used for data processing. The relocation results indicated that the hypocenter had shifted and exhibited an increasing tendency toward cluster formation. The hypocenter depth was adjusted from an initial average of approximately 41.05 km to 51.05 km. This shift suggested am improvement in the quality of residual distribution. The enhancement of earthquake hypocenter resolution supported disaster mitigation by accelerating early warnings, improving construction safety in earthquake-prone areas, and optimizing emergency response. The relocation results in the Mentawai region identified 89 earthquake hypocenter points out of the 94 points recorded before relocation.
Co-Authors A.A. Ketut Agung Cahyawan W Abrar, Camelia Batun Agung Satria, Lori Akbar, Arya J Anjatino Anjatino, Anjatino Arif Ismul Hadi Ashar Muda Lubis Fadli, Darmawan Ikhlas Fairuz Zamani Halauddin Hanifah Maulani, Siti Hesna Nurliana Irkhos Irkhos Lestari, Wina Ayu Lizalidiawati Lizalidiawati Lubis, Ashar Mangantar R. B. Sinaga Norfahmi, Siti Hairunnisa Refrizon Refrizon Sahputra, Rio Satriani, Bella Suaidi Ahadi Suhendra Suhendra Suhendra Sumanjaya, Erlan - Supiyati . Wahyu, Mia