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All Journal Jurnal Pembangunan Wilayah dan Kota JURNAL FISIKA Teknosains: Media Informasi Sains dan Teknologi Jurnal Fisika Unand Elkawnie Jurnal Geosaintek JOURNAL ONLINE OF PHYSICS JPSE (Journal of Physical Science and Engineering) JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar JPF : JURNAL PENDIDIKAN FISIKA Jurnal TAMBORA Indonesian Physical Review Jurnal Metalurgi dan Material Indonesia Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Fisika dan Terapannya Journal of Health, Education, Economics, Science, and Technology (J-HEST) Hexagon HISABUNA: Jurnal Ilmu Falak Jurnal Geosaintek Frontier Advances in Applied Science and Engineering
Amirin Kusmiran
Universitas Islam Negeri Alauddin Makasar
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Identifikasi bencana tanah longsor menggunakan data citra dan InaRisk: Studi kasus Kecamatan Walenrang Barat, Luwu Sewang, Selvi; Said L, Muh.; Abidin, Kurniati; Kusmiran, Amirin
Teknosains Vol 19 No 3 (2025): September-Desember
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v19i3.53932

Abstract

Walenrang Barat dikategorikan sebagai wilayah rawan tanah longsor yang disebabkan oleh kondisi batuan dan lereng gunung yang tidak kompak serta mudah mengalami degradasi atau lebih mudah menyebabkan pergerakan tanah. Oleh karena itu dilakukan penelitian yang bertujuan untuk menganalisis potensi tanah longsor di lokasi penelitian dan untuk mengetahui luasan potensi tanah longsor menggunakan software ArcGis, metode logika fuzzy. Hasil penelitian menunjukkan bahwa wilayah yang berisiko longsor berdasarkan analisis metode logika fuzzy yaitu tingkat kerawanan paling luas berada di Desa Ilan Batu sebesar 6127,16 ha (25,32%) dan Desa Ilan Batu Uru 5968,57 ha (24,67%), kelas sedang berada di Desa Lewandi sebesar 3569,92 ha (14,75%), Desa Lempe Pasang sebesar 3391,87 ha (14,02%) dan Desa Lempe sebesar 3148,63 ha (13,01%), sedangkan rendah pada Desa Lamasi Hulu sebesar 1989,89 ha (8,22%). Sedangkan jika dilihat dari metode InaRISK BNPB, bahwa Desa Ilan Batu sebesar 6184,74 ha (23,82%) dan Ilan Batu Uru 6014,95 ha (23,16%), tingkat sedang berada di Lempe Pasang 4885,85 ha (18,82%), Desa Lewandi sebesar 3636,57 ha (14,01%) dan Desa Lempe sebesar 3222,55 (12,41%), sedangkan tingkat rendah berada di Desa Lamasi Hulu sebesar 2021,25 ha (7,78%). Setiap data memiliki hasil persentase yang berbeda untuk tingkat risiko tanah longsor. Kecamatan Walenrang Barat termasuk daerah yang sedang terjadi tanah longsor dikarenakan wilayah tersebut memiliki kemiringan lereng yang tinggi serta curah hujan yang cukup tinggi dan jenis tanah yang peka terhadap bencana tanah longsor.
Clustering and Risk Analysis of The Earthquake in Sulawesi Using Mini Batch K-Means, K-Medoids, and Maximum Likelihood Method Amirin Kusmiran
Elkawnie Vol. 9 No. 1 (2023)
Publisher : Faculty of Science and Technology Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v8i2.13027

Abstract

Abstract: The earthquake events have been widely analyzed using a statistical approach. Therefore, the sole purpose of this research is clustering and risk analysis of earthquake events based on the combination of machine learning and statistics. The machine learning, conducted by Mini Batch K-Means and K-Medoids, is validated by the Davies-Bouldin index method to earthquake events cluster. Furthermore, the statistics approach conducted by the maximum likelihood method is to estimate the b-value and a-value of earthquake events. The data used in the earthquake events analysis in Sulawesi have a magnitude  5 SR during the period 1980-2022. The results show that the Mini Batch K-Means method is more efficient and accurate than the K-Medoids, and can cluster the earthquakes, namely cluster 0 below 100 km (shallow earthquake), cluster 1 above 100 km to 350 km (medium earthquake), cluster 2 above 350 km (deep earthquake), while K-Medoids method has two clusters namely cluster 0 below 100 km (shallow earthquake), and cluster 1 above 100 km to 350 km. The regions with b-value and a-value less than 0.9 and 7.5, respectively, and in cluster 0, namely the western part of North Sulawesi, Gorontalo, Middle Sulawesi, and West Sulawesi  Province, are as vulnerable to earthquake disasters. Meanwhile, the region in cluster 1 and cluster 2 with b-value and a-value more than 0.9 and 7.5 respectively namely South Sulawesi, the Northern part of North Sulawesi, and Southeast Sulawesi Province, are categorized as minor earthquake disasters. Furthermore, the clustering and risk analysis based on these methods results are good performance, which has recognised cluster and vulnerability of the earthquake events.Abstrak: Kejadian gempa bumi telah banyak dianalisis dengan menggunakan pendekatan statistik. Oleh karena itu, tujuan penelitian untuk menganalisis kejadian gempa dengan menggunakan kombinasi pendekatan machine learning dengan statistik. Pendekatan machine learning dilakukan dengan metode baru yakni metode Mini Batch K-Means dan K-Medoids yang divalidasi dengan metode Davies-Bouldin indeks yang digunakan untuk mengklaster kejadian gempa, sedangkan pendekatan secara statistik dilakukan dengan metode maximum likelihood untuk mengestimasi kerentanan gempa bumi berdasarkan nilai-b dan nilai-a. Data yang digunakan yakni data kejadian gempa di Sulawesi dengan magnitudo ≥ 5 SR dengan periode 1980-2022. Hasil menunjukan bahwa metode Mini Batch K-Means lebih effisien dan akurat dibandingkan dengan metode K-Medoids, dan mengklasifikasi tiga klaster kedalaman gempa, yakni klaster 0 dengan kedalaman kurang dari 100 km (gempa dangkal), klaster 1 dengan kedalaman diantara 100 km dengan 350 km (gempa menengah), klaster 2 dengan kedalaman lebih dari 350 km (gempa dalam). Sementara metode K-Medoids dua klaster kedalama gempa, yakni klaster 0 dengan kedalaman dibawah 100 km (gempa dangkal), dan klaster 1 dengan kedalaman lebih dari 100 km. Beberapa wilayah yang mempunyai nilai-b dan nilai-a secara berurutan kurang dari 0,9 dan 7,5 dan termasuk ke dalam klaster 0, yakni Provinsi Sulawesi Utara bagian barat, Gorontalo, Sulawesi Tengah, dan Sulawesi Barat dikategorikan rawan terhadap bencana gempa; Sedangkan wilayah yang termasuk ke dalam klaster 1 dan klaster 2 dengan nilai-b dan nilai-a secara berurutan lebih dari 0,9 dan 7,5 yakni Provinsi Sulawesi Selatan, Sulawesi Utara bagian Utara, dan Sulawesi Tenggara dikategorikan sebagai rendah terhadap bencana gempa. Dengan demikian, kedua metode dapat digunakan untuk meng-klaster gempa dan identifikasi kerentanan kejadian gempa bumi.
INTEGRATED SATELLITE IMAGERY AND GEOPHYSICAL METHODS IDENTIFY LANDSLIDE SUSCEPTIBILITY ZONATION IN TABBINJAI VILLAGE, SOUTH SULAWESI Kusmiran, Amirin; Minarti, Minarti; Auliya, Alvia; Aulia, Wahda Nur; Hasmia, Hasmia; Azizah, Nisrah; Wijaya, Arif; Priadi, Ramadhan
Indonesian Physical Review Vol. 9 No. 2 (2026)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v9i2.632

Abstract

Tabbinjai Village is susceptible to landslides due to high rainfall, steep topography, and human activities. This study aims to determine the zone of landslide vulnerability using geophysical data and satellite imagery to generate a level of landslide vulnerability map in Tabbinjai Village. The AHP (Analytical Hierarchy Process) method is used to determine the weight composition of satellite imagery data, and Seismic vulnerability and slip plane identification are geophysical methods that include the HVSR (horizontal-to-vertical spectral ratio) method and the Wenner-Schlumberger configuration, respectively. Based on the AHP method, landslide susceptibility is classified into low (60.67%), moderate (37.89%), and high (1.44%) susceptibility zones. These spatial findings are supported by the in situ seismic vulnerability index (Kg) and geoelectrical resistivity profiles, confirming the strong likelihood of slope failure in critical areas. Therefore, integrated satellite imagery and geophysical data provide a reliable reference for regional spatial planning and disaster mitigation strategies.
Development of Arduino-Based Temperature Control Teaching Aids with Matlab Interface as a Tool for Newton Cooling Practicum Tamsil; Irwan, Anas; Kusmiran, Amirin; Qaddafi, Muhammad; Umar Dani, Ali; Anggereni, Santih
Jurnal Pendidikan Fisika Vol. 14 No. 2 (2026): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/ntt47e89

Abstract

Physics practicums require accurate, efficient, and traceable measurement systems, particularly in thermodynamic experiments involving continuous temperature changes. In the Newtonian Cooling practicum, conventional measurements with thermometers and stopwatches often lead to recording errors, inaccurate synchronization of temperature and time, limited data density, and reduced student focus on physical interpretation. This study aimed to develop, validate, and assess the practicality of an Arduino-based temperature control teaching aid integrated with a MATLAB graphical user interface (GUI) to support real-time data acquisition in the Newtonian Cooling practicum. The research employed a Research and Development (R&D) approach using the 4D model, consisting of the Define, Design, Develop, and Disseminate stages, with product development limited to expert validation and minimal practical testing. The tool was developed using an Arduino Uno microcontroller, a DS18B20 temperature sensor, and a MATLAB GUI that displays temperature-time graphs and automatically stores measurement data in Excel. The study involved two expert validators and 10 Physics Education students who participated in the Thermodynamics practicum. The validation results showed that all assessed indicators, including tool recognition, user control, application display, application assistance, and application output, obtained the highest score of 4, indicating very high validity. The practicality assessment also showed excellent results, with an average score of 4.0 and 98% of students reporting positive responses, indicating that the tool was highly practical for practicum use. The novelty of this study lies in integrating real-time temperature measurement, automatic temperature-time data synchronization, graphical visualization, and direct data storage into a single practicum-oriented system. The findings indicate that the developed teaching aid improves the efficiency and accuracy of temperature measurement, reduces manual recording errors, and helps students focus on analyzing cooling phenomena. This study contributes to physics education by providing an affordable, valid, and practical microcontroller-based teaching aid that strengthens laboratory-based learning and promotes data-driven scientific reasoning.
Co-Authors A. Andira Maharani Adrianus Inu Natalisanto Afrian Wira Wardhana Ahmad Zarkasi Ainun Alamsyah Ali Umar Dani Almubdy Siraj Ramadhan Andi Syam Rizal Andi Syam Rizal Apriliah, Risky Arif Wijaya Arif Wijaya Aulia, Wahda Nur Auliya, Alvia Ayusari Wahyuni Azizah, Nisrah Chotban, Sippah Dwi Nurfajriana Syam Fajar Fajar Fauzi Widyawati Fitriyanti Hananda Putra, Muhammad Fauzan Hasmia, Hasmia Hidayatullah, Muhammad Ilham Maulana Ilham, Rahmaniah Irsyadi Siradjuddin Irwan, Anas Karnaen, Muh. Kasturi Ramadani Khaerul Ihsan Kholis Nurhanafi Kormil Saputra Kurniati Abidin, Kurniati Minarti Minarti Minarti Minarti Mohammad Asrul Muh Said Lanto Muh. Said L Muhammad Anshar Muhammad Fawzy Ismullah Massinai Muhammad Qaddafi Muhammad Rezki Munafri, Yusuf Nuraidha, Amalia C Nurul Fuadi Prasepvianto Estu Broto Priadi, Ramadhan Prihardjo Sanyoto Rahmaniah, Rahmaniah Rahmawati Munir Ramadhan Priadi Rita Desiani Rita Desiasni Rita Desiasni Roby Maryudi Sahara Sahara Santih Anggereni Sewang, Selvi Sopiandi Suryah Rahmah Syam, Dwi Nurfajriana Syamsul Bahtiar TAMSIL Tirta, Andy Topyana Topyana Utami, Fatia Arta Wahyuni, Ayusari Yuliana Fitri Sersaningsih