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All Journal Agromet Indonesian Journal of Geography Journal of Degraded and Mining Lands Management Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Hukum Lingkungan Indonesia Forest and Society International Journal of Disaster Management Journal of Climate Change Society Causa: Jurnal Hukum dan Kewarganegaraan Policy Brief Pertanian, Kelautan, dan Biosains Tropika BIODIVERS - BIOTROP Scientific Magazine Jurnal Meteorologi dan Geofisika J-Sil (Jurnal Teknik Sipil dan Lingkungan)
P. Perdinan
Department Of Geophysics And Meteorology, Faculty Of Mathematics And Natural Sciences, IPB University, IPB Darmaga Campus, Bogor, 16680, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Physics Social Sciences Transportation

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BIOTROP Taps Into Digital Learning Inovation to Strengthen Student’s Engagement on Merdeka Belajar Program Imantho, Harry; Imran, Zulhamsyah; Perdinan; Sugiarto, Slamet Widodo; Supriyanto
BIODIVERS - BIOTROP Science Magazine Vol. 2 No. 1 (2023): BIODIVERS (BIOTROP Science Magazine) : Agro-Eco-Edu-Tourism in Managing Tropica
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56060/bdv.2023.2.1.1998

Abstract

The COVID-19 pandemic has suddenly forced the world of education to carry out a more massive digital transformation that should meet student’s requirements and strengthen their knowledge, skills and competencies. The digital media developed should facilitate student’s self-learning and freedom to learn (Merdeka Belajar) amidst physical and social interaction limitations. Vocational high school students have special requirements compared to upper secondary school students in terms of soft skills and hard skills education. It is very interesting to provide digital educational media which fits their needs. This study aims to develop an online digital platform in responding to the demand of vocational schools that have joined the SEAMEO BIOTROP SMARTS-BE program since 2015 in applied tropical biology. Since 2015, SEAMEO BIOTROP has provided face-to-face mentoring to vocational high schools spread across 10 provinces in Indonesia. The Expert System for Identifying Pest and Disease on lemon orchard is a digital transformation in the mentoring method while demonstrating a new learning experience educational materials into a web-based digital platform and Android application. This expert system demonstrates the implementation of problem base learning (ProBL) concepts to enrich online learning materials for vocational schools in the age of digital science and education.
Determining Rainfall Thresholds of Landslide Events for Sumatra Islands Perdinan; Yon Sugiarto; Bambang Dwi Dasanto; Raynaldi Rachmat; Ayu Arista Andarini Putri
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/67

Abstract

Extreme weather can trigger a number of meteorological disasters such as landslides. This disaster may cause serious losses on livelihoods and hamper the growth of economy or development targets. This research focuses on determining a threshold triggering landslide events. Rainfall is considered as one of the common factor contributing to the landslide occurrence. The rainfall intensity as the trigger for landslides can be determined using a series of statistical methods. The threshold determination is performed using statistical techniques composed of Cumulative Rainfall Threshold (CT) and sorting analysis, dummy regression, cluster analysis, and change detection method. The methods are applied to determine the thresholds for landslides occurring in Sumatra Islands for the period of 2010-2017 retrieved from the website Data Informasi Bencana Indonesia managed by Badan Nasional Penanggulangan Bencana (DIBI BNPB). We evaluated daily rainfall data for the period of 2010-2017 compiled for 10 climate stations operated by Bureau Meteorology, Climatology, and Geophysics named in Bahasa Indonesia Badan Meteorologi, Klimatologi, dan Geofisika that are accessible for the Sumatra Island. The analyses suggest that the rainfall thresholds that should be monitored for detecting the potential occurrences of landslides in the study area are 15 mm per day, 30 mm per day, dan 65 mm per day. These values can be seen as warnings at different levels with the largest value, i.e., 65 mm, indicated higher confidence for the landslide event to occur. In other words, these values represent different levels of alert for the landslide occurrence that provide inputs for designing strategies of disaster prevention to mitigate the adverse impacts of landslide disaster.
Comparative Analysis of Weather Radar Signatures of Puting Beliung in Indonesia Kiki; Koesmaryono, Yonny; Hidayat, Rahmat; Sukma Permana, Donaldi; Perdinan
Jurnal Meteorologi dan Geofisika Vol. 26 No. 2 (2025)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v26i2.1180

Abstract

This study presents a comprehensive radar-based analysis of Puting Beliung (PB), Indonesia’s localized tornado phenomenon, using multiple weather radar–derived products. A comparative analysis of ten PB cases was conducted to identify consistent meteorological signatures and variations in tropical storm behavior, motivated by recent observations indicating an increasing frequency of PB events in Indonesia and the need for improved detection methods. Analysis using Rainbow software reveals consistently high reflectivity values ranging from 35 to 60 dBZ, with diverse echo patterns, among which the hook echo is the most dominant. Physical parameters show horizontal wind speeds of 10–30 knots at an altitude of 4 km, horizontal shear of 5–10 m s⁻¹ km⁻¹, and vertical shear of 1–10 m s⁻¹ km⁻¹, while spectral width analysis indicates moderate turbulence with values around 3 m s⁻¹. The Tornadic Vortex Detection (TVD) product identifies potential vortex signatures at six locations, with detected heights ranging from 1.2 to 3.1 km. This study represents the first comprehensive application of multiple radar products for PB characterization in Indonesia and identifies CMAX, HWIND, HSHEAR, and TVD as the most effective products for PB detection and monitoring. These findings provide essential baseline criteria for the development of radar-based early warning systems tailored to Indonesia’s tropical environment, with the potential to reduce the socioeconomic impacts of PB events through improved detection and prediction capabilities.
Co-Authors . Supriyanto A, Trijanti A. Widinni Adi, Ryco F Aditya Pangestu, Lutfi Agus Sakawuna, Wandira Akhmad Faqih Akhmad Faqih Ana Turyanti ARI SETIAWAN Arif Wibowo Atmaja, Tri Ayu Arista Andarini Putri Azka Zakiyyatuddin Bambang Dwi Dasanto Bony Septian Pandjaitan Budi Indra Setiawan Chairunnisa, Nurul Chusnul Arif DEWI RAHMAWATI Di Gregorio, Monica Dodik Ridho Nurrochmat Donaldi Sukma Permana Dwi Ariyani Dyah Lukita Sari, Dyah Lukita Euis Sunarti Evelyn V. Bigcas Fardilah, Ratih Dwi Furqon Alfahmi Hadi Susilo Arifin Hanny Nirwani Herlan Darmawan Imam Suyanto Imantho, Harry Indri Hapsari Irwan Meilano Irzaman, Irzaman Istaviolani, Silva Juniati, Atie Tri Kiki Kiki, Kiki Maria Evita Mitra Djamal Mohammad Yasin Mudzakir Setiawan, Amsari Nina Siti Aminah Purwanto, Yanuar Jarwadi Putri Lestari, Putri Rahmad Fauzi Rahmadhani, Rizki Ayu Rahmat Hidayat Raynaldi Rachmat Retna Apsari Rhomi Ardiansyah Rini Hidayati Risa Rosita Sensius Seno Sheriffdeen, Muhammad Sri Widayanti SRI WIDAYANTI Sugiarto, Slamet Widodo Sukma Permana, Donaldi Supriyanto Suryanto, Wiwit Tania June Tugiyo Aminoto Venita Dominica, Maria Wahyu Srigutomo Wahyudi Wahyudi Widiastuti, Herni Wido Hanggoro Woro Estiningtyas Yahya, Rizka Ora Aurora Yana, Sumayah Fitri Yon Sugiarto Yonny Koesmaryono Zulhamsyah Imran