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All Journal International Journal of Renewable Energy Development Journal of Degraded and Mining Lands Management JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Emerging Science Journal JURNAL INTEGRASI JPF : JURNAL PENDIDIKAN FISIKA JURNAL PENDIDIKAN TAMBUSAI Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Sainstek : Jurnal Sains dan Teknologi Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika Pillar of Physics: Jurnal Berkala Ilmiah Fisika JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) MASALIQ: Jurnal Pendidikan dan Sains Georest: Geoscience, Remote Sensing, and Technology JPNM : Jurnal Pustaka Nusantara Multidisiplin Gudang Jurnal Multidisiplin Ilmu International Journal of Renewable Energy Development
Pakhrur Razi
Universitas Negeri Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Profile of Students’ Character in the Reading to Learn (R2L) Model in Improving Scientific Literacy Skills Arief Muttaqiin; Aisyah Salsabila Dwi Ananda; Putri Aulia; Pakhrur Razi; Yusefarina Yusefarina; Lahara Yanuarsi
AL-ISHLAH: Jurnal Pendidikan Vol 14, No 4 (2022): AL-ISHLAH: Jurnal Pendidikan
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v14i4.1503

Abstract

This study aims to determine the description of the character of students during learning with the Reading to Learn (R2L) Model in order to improve their scientific literacy skills. This learning was carried out for 3 meetings on dynamic electricity material. During the study, observations were made by two observers using an observation sheet containing the student's character. Aspects of student character observed in this study were curiosity, adaptability, social behavior, and initiative. The students observed consisted of four classes. The number of students involved was 64 students (n=64). Based on observations, the highest character that emerges from students during learning is the character of socio-cultural behavior (52.95%), while the lowest character is curiosity (44.44%).
Kajian Literatur Potensi Sensor VL53L0X untuk Monitoring Level Sludge Biogas Berdasarkan Karakteristik Material Rohimah, Qory Natur; Razi, Pakhrur
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 1 (2026): February : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i1.1049

Abstract

Monitoring level sludge pada reaktor biogas merupakan parameter kritikal untuk menjamin efisiensi produksi energi terbarukan. Namun, karakteristik sludge yang berwarna gelap dan kental menjadi hambatan bagi sensor jarak konvensional. Artikel ini menyajikan tinjauan literatur mengenai potensi implementasi sensor VL53L0X berbasis teknologi Time-of-Flight (ToF) sebagai solusi pengukuran level material semi-cair. Melalui analisis komparatif terhadap berbagai penelitian terdahulu, artikel ini mengevaluasi performa sensor ToF dalam mendeteksi objek dengan tingkat reflektivitas rendah dan interferensi cahaya lingkungan. Hasil tinjauan menunjukkan bahwa VL53L0X memiliki keunggulan pada akurasi jarak pendek dan sudut deteksi yang sempit, sehingga meminimalisir kesalahan pembacaan akibat pantulan dinding reaktor. Selain itu, artikel ini mengulas strategi linearisasi data dan penggunaan filter digital untuk mengatasi noise yang mungkin timbul akibat kondisi atmosfer di dalam tangki biogas. Kesimpulan dari kajian ini menegaskan bahwa teknologi ToF memberikan reliabilitas yang lebih tinggi dibandingkan sensor ultrasonik untuk material dengan albedo rendah. Tinjauan ini diharapkan dapat menjadi referensi teknis dalam pengembangan sistem monitoring biogas yang lebih presisi, efisien, dan berbiaya rendah bagi masyarakat luas.
Analyzing Students’ Creative Thinking Skills as a Basis for Developing Digital Physics Teaching Materials on Renewable Energy Topics Rizki, Suci; Razi, Pakhrur; Mufit, Fatni; Novitra, Fuja
Jurnal Pendidikan Fisika Vol. 14 No. 1 (2026): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/g9jhh304

Abstract

The rapid advancement of digital technology demands creative, contextual, and sustainability-aligned physics learning. However, high school physics instruction, particularly on renewable energy topics, remains largely conventional and relies on static media, limiting students’ opportunities to develop creative thinking skills. This study aimed to analyze students’ creative thinking skills and learning needs, providing an empirical foundation for the development of contextual, interactive digital physics teaching materials on renewable energy. A descriptive quantitative research design was employed, supported by qualitative data from the teachers’ interviews. The participants consisted of 266 tenth-grade students and three physics teachers from three public senior high schools in Tebo Regency, Indonesia. Data were collected using a 32-item learning-needs questionnaire, a creative thinking skills test based on fluency, flexibility, originality, and elaboration indicators, and semi-structured interviews with teachers. Quantitative data were analyzed using descriptive statistics, and qualitative data were examined through thematic analysis. The results indicate that teacher-centered practices, with limited use of interactive digital media, still dominate physics instruction. Students demonstrated a high demand for contextual, problem-based, and digital learning environments, with an overall learning needs mean score of 82.5%. However, students’ creative thinking skills were generally low, with an average score of 41.8%, particularly in fluency, flexibility, and originality, while elaboration emerged as the relatively strongest indicator. The novelty of this study lies in integrating students’ creative thinking profiles with their learning needs and classroom practices to provide an empirical basis for the instructional design. The findings indicate a significant gap between students’ learning needs and current instructional practices, underscoring the need to develop contextual, interactive digital physics teaching materials. This study contributes to physics education by offering diagnostic evidence to guide the design of digital learning innovations that foster creative thinking and sustainability-oriented understanding.
Event-based rainfall windows and topographic controls on landslide susceptibility in West Sumatra: A machine-learning analysis Octova, Adree; Jenni, Nadiyatul; Razi, Pakhrur; Murad, Murad
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.9759

Abstract

Landslides caused by rainfall are a chronic cause of land degradation in tropical mountainous areas, where steep terrain and heavy precipitation work together to destabilize slopes and undermine land usability. This study elucidated the combined effects of event-based rainfall windows and topography on the landslide susceptibility in West Sumatra, with the view of supporting degraded land management and mitigation planning. Daily rainfall data from CHIRPS were used with 137 landslide events (2014 to 2024) and an equal number of non-landslide points to create a balanced dataset based on the 7 x 7 m DEMNAS. Geomorphological predictors included slope, aspect, profile curvature, and plan curvature, whereas rainfall was measured at 0, 1, 3, 7, 14, and 30 days. The 3-day and 7-day rainfall windows, slope, and the profile curvature were identified as the most discriminative variables using the Mann-Whitney U test. Afterwards, logistic regression, random forest, and XGBoost models were built, and each achieved high predictive accuracy (AUC>0.93; AP>0.95). The feature importance and SHAP analyses consistently showed that slope was the most influential control factor, with short-term rain windows making a meaningful marginal contribution. Subsequent susceptibility maps have consistently identified the Bukit Barisan range as a high-risk area. This research also shows how event-based rainfall-terrain models can be operationalised to inform degraded land management by focusing mitigation efforts, zoning land use, and supporting rainfall-based early warning strategies in data-sparse tropical areas.
Separation of Regional and Residual Anomalies Using GGMPlus Gravity Data in Panti Sub-District, West Sumatra Putri Yasmin; Pakhrur Razi; Yuta Izumi
MASALIQ Vol 5 No 4 (2025): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i4.6062

Abstract

This study addresses the limited application of GGMPlus satellite gravity data for regional and residual anomaly separation in geothermal exploration within Indonesia. The research aims to separate and analyze gravity anomalies to elucidate subsurface geological structures in Panti District, Pasaman Regency, West Sumatra. A quantitative-descriptive approach with an exploratory design was employed, utilizing secondary gravity data from the GGMPlus model comprising 4,537 measurement points at 200-meter intervals. Data processing involved Bouguer correction, Fourier transformation, and the application of a bandpass filter using Oasis Montaj software. The complete Bouguer anomaly in the study area ranges from –37.5 to –25.6 mGal. Frequency-based separation yielded regional anomalies ranging from –37.3 to –25.8 mGal, while residual anomalies varied between –0.77 and 0.72 mGal. The residual anomalies are interpreted as responses from shallow subsurface features, including sedimentary rocks and potential geothermal reservoirs. In contrast, the regional anomalies are associated with deeper geological structures, such as faults and intrusive bodies. These findings demonstrate that frequency-domain filtering provides an effective means of enhancing the interpretability of satellite-derived gravity data in geothermal investigations. The study confirms the utility of GGMPlus data and spectral filtering techniques in delineating subsurface targets and improving geophysical assessments for geothermal resource exploration.
Co-Authors A Arifin Abdullah Nur Aziz Abdullah Nur Aziz Addriani, Ranti Adi Suryadi Adree Octova Aisyah Salsabila Dwi Ananda Akmam Akmam Akmam Amali Putra Amalia Putri, Amalia Aminuddin, Jamrud Andika, Heru Anofa Liona Arief Muttaqiin Arifin, A Asrizal Bahri, Aliefa Zunaida Bilalodin Bilalodin Fadila, Husnul Farzand Abdullatif Fatni Mufit fitri mairizki Fuja Novitra Gautama, Mohammad Isa Genov Zulmartin Hamdi Hamdi Hamdi Handayani, Sri Gusti Hapsoro, Cahyo A. Harman Amir Hidayati Hidayati Husna, Rahmi Juita Husnul Kausarian Ifdil Ifdil Jamrud Aminuddin Jenni, Nadiyatul Josaphat Tetuko Sri Sumantyo Komaini, Anton Lahara Yanuarsi Marsa, Indira Marzuki Marzuki Mega Oktisa Melnix, Frennadito Muhammad Bohori MUHAMMAD YUSUF Mukhtar Effendi Mukhtar Effendi Murad, Murad Mutya Vonnisa Nishi, Katsunoshin Nofi Yendri Sudiar Nofi Yendri Sudiar Nurhayati Nurhayati Nurhayati Nurhayati Putri Aulia Putri Yasmin R Farzand Abdullatif rahmi juita husna Ramadhan, Ravidho Rena Ramadhani Putri Revielni Sandra Rinadi, Aulia Rizki, Suci Rohimah, Qory Natur Rozi, Hanifsyah Saputri, Deby Yeriza Silfi sutri Insani Sri Wahyu Hidayati Sunardi Sunardi Sunardi Sunardi Thamrin Thamrin Widia Mai Yetri Widiyani, Agustina Wihantoro Wihantoro Wihantoro Wihantoro Yanfatriani, Elsa Yanuar Kiram Yendri Sudiar, Nofi Yenni Darvina Yohandri Bow Yoszi Mingsi Anaperta Yusefarina Yusefarina Yusnaini, Helmi Yuta Izumi Zakaria, Jaffri Bin Zulazhari Zulhendra Zulhendra Zulhendri Kamus