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All Journal Indonesian Journal of Geography Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Jurnal Infinity Tadris: Jurnal keguruan dan Ilmu Tarbiyah Progresiva : Jurnal Pemikiran dan Pendidikan Islam Jurnal Optimasi Sistem Industri JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Forum Geografi Jurnal Penelitian dan Pembelajaran IPA Indonesian Journal of Science and Technology Journal of Natural Sciences and Mathematics Research Al-Jabar : Jurnal Pendidikan Matematika JIPF (Jurnal Ilmu Pendidikan Fisika) PRISMA Journal of Islamic Architecture Desimal: Jurnal Matematika Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity JTAM (Jurnal Teori dan Aplikasi Matematika) International Journal of Supply Chain Management Navigation Physics : Journal of Physics Education Andalasian International Journal of Agricultural and Natural Sciences International Journal of Electronics and Communications Systems International Journal of Hydrological and Environmental for Sustainability Journal of Advanced Sciences and Mathematics Education Online Learning in Educational Research Islamic Journal of Integrated Science Education JIPI (Jurnal IPA dan Pembelajaran IPA) Leuser Journal of Environmental Studies Jurnal Pendidikan IPA Indonesia Jurnal Infinity Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir
Rofiqul Umam
School Of Science And Technology, Kwansei Gakuin University, Japan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Optimization of Physics Learning on Uniform Linear Motion (GLB) and Uniformly Accelerated Linear Motion (GLBB) Through Interactive Virtual Practicum Simulation Based on Phet Bumi, Philosofi Setia; Umam, Rofiqul; Saregar, Antomi
Islamic Journal of Integrated Science Education (IJISE) Vol. 4 No. 2 (2025): July
Publisher : Program Studi Tadris IPA, Fakultas Tarbiyah (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/ijise.v4i2.5850

Abstract

Limited laboratory facilities remain a challenge in physics learning, especially for topics such as Uniform Linear Motion (GLB) and Uniformly Accelerated Linear Motion (GLBB). To address this issue, a Classroom Action Research (CAR) was conducted at SMAN 8 Yogyakarta using interactive virtual experiments based on PhET simulations. The study was carried out in two cycles involving planning, implementation, observation, and reflection. Data were collected through observation, interviews, documentation, and student worksheets (LKPD) assessment. Results showed that PhET simulations significantly improved student engagement and conceptual understanding. In class X-E1, 71.9% of students achieved a perfect score (100), and the rest scored above 62.5. Similar outcomes were found in classes X-E2 to X-E4, with most students achieving high scores. PhET proved to support contextual and interactive learning, enhancing student participation, concept mastery, and scientific process skills, while also providing meaningful learning experiences without relying on physical lab equipment.
Geochemical Evidence from Major and Trace Elements in Geothermal Waters of Empat Lawang, Southern Sumatra: Clues to Mineralization and Hydrothermal Sources Umam, Rofiqul; Suharno, Suharno; Junaidi, Rahmad
Leuser Journal of Environmental Studies Vol. 3 No. 2 (2025): October 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v3i2.343

Abstract

This study explores the major and trace element geochemistry of geothermal waters from Empat Lawang, Southern Sumatra, Indonesia, to assess hydrothermal origins and mineral prospecting potential. Five water samples were analyzed using ternary plots, ion correlation diagrams, and geothermometric equations. A strong Na–Cl correlation (R2 = 0.9694) suggests evaporite dissolution or mixing with connate water, while the Ca–SO4 relationship (R2 = 0.9555) indicates gypsum or anhydrite dissolution. The Ca + Mg vs. HCO3 pattern reflects carbonate and silicate weathering influenced by lithological variability. Diagnostic ion plots reveal active ion exchange and halite dissolution across sample sites. Reservoir temperatures estimated using Giggenbach and Fournier Truesdell equations range from 190°C to 404°C, with an outlier of 1593.75°C in PN3, likely due to fluid disequilibrium. Depths span 4.22 to 16.39 km, indicating deep-seated hydrothermal systems with intense fluid–rock interaction. The Cl/Li vs. B plot identifies hydrothermal signatures, with most samples below the Cl/Li < 1000 threshold and elevated boron levels, suggesting active leaching and mineral transport. These findings highlight the potential for borate and metal mineralization. By integrating classical geochemical approaches with modern trace element indicators, this study provides a novel framework for geothermal exploration in Indonesia’s volcanic regions. These findings suggest potential for borate and metal mineralization and offer a geochemical framework for geothermal exploration in Indonesia’s volcanic regions.
Innovative Integrated Disaster Education in Physics Learning: An Effort to Enhance Students’ Disaster Literacy Skills Saregar, Antomi; Putra, Fredi Ganda; Diani, Rahma; Anugrah, Adyt; Misbah, Misbah; Umam, Rofiqul
Jurnal Pendidikan IPA Indonesia Vol. 14 No. 2 (2025): June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpii.v14i2.23959

Abstract

Disaster-prone regions require an education system that equips students with both scientific understanding and disaster preparedness. However, integration of disaster mitigation content into subject-specific learning, particularly physics, remains limited. This study aims to develop and evaluate the effectiveness of physics teaching materials integrated with disaster mitigation education to enhance students’ disaster literacy skills. A mixed-method approach with an exploratory sequential design was employed. The development process followed the 4D model (Define, Design, Develop, and Disseminate) to systematically design and implement teaching materials. The study was conducted in two high schools in South Lampung Regency, Lampung, Indonesia involving four classes (two experimental and two control groups) with a total of 128 students, consisting of 63 students in the experimental groups and 65 in the control groups. The T-test results show that the use of disaster mitigation-based teaching materials had a statistically significant effect on students' disaster literacy abilities, with a significance value of 0.000 (p < 0.05).  Furthermore, the results of the effect size analysis (Cohen’s d = 0.62 and 0.66) fall within the moderate category, confirming that this intervention had a significant impact on enhancing students’ disaster literacy skills related to disaster mitigation. The implementation of this teaching material not only enhances students’ understanding of physics concepts but also increases their awareness and preparedness for disasters, particularly around disaster literacy, making it a strategic innovation in disaster education. This research contributes significantly to the development of disaster education curricula in Indonesia, particularly within the context of physics education.
An unsupervised machine learning algorithm approach using K-Means Clustering for optimizing Surface Wave Filtering in seismic reflection data Hartono, Hartono; Anwar, Haerul; Umam, Rofiqul; Takahashi, Hirotaka
Journal of Natural Sciences and Mathematics Research Vol. 10 No. 1 (2024): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Surface waves often cause significant noise in seismic data, complicating the interpretation of subsurface structures. Traditional filtering methods, such as FK filtering, usually struggle with non-stationary noise and require extensive manual parameter tuning. This study explores the effectiveness of using K-means clustering, incorporating attributes such as amplitude, frequency, and phase to filter surface waves from seismic data. Synthetic seismic data were first generated to test the proposed method, ensuring its robustness before application to real field data. Attributes were extracted from each seismic trace, including instantaneous amplitude, frequency, and phase. These attributes were used as input parameters for the K-means clustering algorithm. The identified clusters corresponding to surface waves were then used to filter these waves from the seismic data. The K-Means clustering effectively differentiated surface waves from reflected waves in both synthetic and real seismic datasets. The method demonstrated that by including phase as an attribute, alongside amplitude and frequency, the accuracy of surface wave detection and filtering significantly improved. The synthetic data showed a clear separation of wave types, validating the method. When applied to real field data, the approach consistently removed surface waves, clarity of seismic reflections crucial for subsurface analysis.
The Characteristics of the First Kind of Chebyshev Polynomials and its Relationship to the Ordinary Polynomials Maulidi, Ikhsan; Wibowo, Bonno Andri; Apriliani, Vina; Umam, Rofiqul
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 2 (2021): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i2.4647

Abstract

In this article, we discuss the Chebyshev Polynomial and its characteristics. The second order difference equation and the process obtaining the explicit solution of the Chebyshev polynomial have been given for each real number. The symmetry and orthogonality of the Chebyshev polynomial has also been demonstrated using the explicit solutions obtained. Furthermore, we have also given how to approx the polynomial function using the Chebyshev polynomials.
Evaluating The Effectiveness of Radon Measurement Techniques in Soil Gas: Impact of Hole Depth and Measurement Time Iqbal, Mochamad; Berlian, Fitra; Al Farishi, Bilal; Ipmawan, Vico Luthfi; Siregar, Rahmat Nawi; Umam, Rofiqul
EKSPLORIUM Vol. 45 No. 2 (2024): NOVEMBER 2024
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/eksplorium.2024.7134

Abstract

Radon measurement methodologies are critical for accurate risk assessment and resource optimization, yet challenges persist in determining the optimal sampling depth and measurement duration. These factors significantly influence radon concentration readings, and their impact still needs to be explored in systematic evaluations, particularly in balancing efficiency and accuracy. This study evaluates the effectiveness of radon measurement methodologies by experimenting with how sampling hole depth and measurement duration affect radon concentration in soil gas. Radon experiments were conducted at depths of 0.5 m, 1.0 m, and 1.2 m over a 39-day period in soft tuff rock formations at Institut Teknologi Sumatera. Measurements were taken on Days 0, 6, 12, 18, 27, and 39 using the RAD7 Radon Detector, with multiple cycles to ensure stability. The results indicate that radon concentrations varied significantly with both depth and time, with the highest concentrations observed at 1.2 m on Day 18 (1,089 Bq/m³). A noticeable “lag effect” was observed following rainfall events, where radon levels initially decreased due to soil saturation but spiked as the soil dried. The depth of 0.5 m provided the most consistent measurements, with the lowest coefficient of variation (CV = 31%), making it the most reliable and practical depth for routine radon assessments. Overall, this study highlights the importance of considering environmental conditions, such as rainfall and soil moisture, when interpreting radon data and provides insights into optimizing radon measurement practices for accuracy and efficiency.
Synthesizing A Framework and Establishing Content Validity of An Energy Literacy Instrument for Indonesian Students Usman, Musawwir; Pramudawardani, Hanis; Umam, Rofiqul; Takahashi, Hirotaka
Islamic Journal of Integrated Science Education (IJISE) Vol. 4 No. 3 (2025): November
Publisher : Program Studi Tadris IPA, Fakultas Tarbiyah (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/ijise.v4i3.6993

Abstract

Energy literacy is a critical competency for cultivating awareness, responsibility, and sustainable energy practices among students. This study aims to synthesizing a framework and establishing the content validity of an instrument designed to measure Indonesian students’ energy literacy across cognitive, affective, and behavioral domains. Employing a descriptive research design, the study was conducted in two stages: framework synthesis and expert validation. The synthesized framework integrated key constructs from established energy literacy models and contextualized them within Indonesia’s socio-educational setting. The initial instrument comprised 32 cognitive test items, 20 affective statements, and 15 behavioral statements. Content validation was performed by two expert lecturers and three science teachers, who assessed the relevance, clarity, and appropriateness of each item. Results indicated that all domains achieved the “very feasible” category, demonstrating strong content validity. Following revisions based on expert feedback, 59 items were retained: 30 cognitive, 17 affective, and 12 behavioral. The validated instrument offers a comprehensive and contextually relevant tool for evaluating students’ knowledge, attitudes, and behaviors toward energy, thereby supporting the advancement of energy education and sustainable practices in Indonesia.
Relationship between Organizational Learning and Supply Chain Agility on Organizational Performance: A Quantitative Study in Fashion SMEs Parama Kartika Dewa; Irma Nur Afiah; Rofiqul Umam
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.865 KB) | DOI: 10.25077/josi.v23.n1.p46-60.2024

Abstract

Supply Chain Agility (SCA) is recognized as a crucial component in fostering organizational agility, offering a competitive and expansionary strategy for businesses. However, the impact of SCA on organizational performance, particularly in the fashion industry, remains underexplored. This study aims to investigate how learning and agility within the supply chain affect the performance of fashion SMEs, providing a comprehensive understanding of these dynamics. Employing a quantitative approach, data were collected through a questionnaire from 180 fashion SMEs in the Special Region of Yogyakarta, with responses obtained from managers in the fashion industry sector. This methodological choice ensures that the insights gathered are both relevant and specific to the targeted industry. A Structural Equation Modeling using Partial Least Squares (SEM-PLS) was utilized to test the hypotheses, focusing on both the direct and indirect effects of internal and external learning dimensions on organizational performance. The findings reveal that both learning and supply chain agility significantly enhance the performance of fashion SMEs, underscoring their importance in boosting organizational effectiveness. Specifically, the study highlights that internal learning processes and external knowledge acquisition are both critical in fostering a more agile and responsive supply chain. These results contribute to the understanding of how SMEs in the fashion sector can leverage learning and agility to improve performance, supporting the development of more effective supply chain strategies. Consequently, the study's hypotheses are validated, providing valuable insights for practitioners and researchers in the field. This research underscores the potential for fashion SMEs to enhance their competitive edge and operational efficiency through strategic learning and agile supply chain management.
Co-Authors Abd. Rasyid Syamsuri Abdul Mutolib Abdurahman Abdurrahman Adi, Langit Cahya Adyt Anugrah Adytama, Alhamdy Ahmad Said Al Farishi, Bilal Al-Hijrah, Al-Hijrah Ali Rahmat Andika Eko Prasetiyo Andika Eko Prasetiyo, Andika Eko Andiyan Andriana, Bibin B. Anggraini, Atika Annisa Nurhuda Romadhona Antomi Saregar Ardian Asyhari Aziza Anggi Maiyanti Bayu A. Sadjab Belista Gunawan Berlian, Fitra Betta Kurniawan, Betta Bumi, Philosofi Setia Cengiz, Korhan Dewa, Parama Kartika Dewi Lengkana Dixit, Aparna Endah Kinarya Palupi Endah Kinarya Palupi Endah Kinarya Palupi Endah Kinarya Palupi Felga Zulfia Rasdiana Fitria Lestari Fitria Lestari Fredi Ganda Putra Fujiani, Dwi Haerul Anwar Handayani, Tri Wahyu Harnomo, Fajar Ikhwan Hartati, Niken Sri Hartono Hartono Hasan Said Tortop Hasan Said Tortop Hasan Said Tortop Hesti Herliantari Hurien Helmi Husna, Ismalia I Putu Tedy Indrayana Ikah N. P. Permanasari Ilma Ridhona Imama, Khoirunnisa Iqbal, Mochamad Iresha, Fajri Mulya Irma Nur Afiah Irwandani Irwandani Irzaman, Irzaman Iskandar Tsani Iskandar Tsani, Iskandar Iwamony, Steven Jermsittiparsert, Kittisak Kasam Kasam, Kasam Khoirunnisa Imama Khusnul Yakin Kittisak Jermsittiparsert Kurnia, Yogi Laila Puspita Laili, Ummiy Fauziyah Lengkana, Dewi Lusi Anggraini Mada Sanjaya WS Maharani, Fareza Chandri Maulidi, Ikhsan Michalska-Domańska, Marta Misbah Misbah Mochamad Iqbal Muawanah Muawanah Muhamad Syazali Muhamad Yasin Muhammad Nafian Muliadi Ramli Munifah Munifah Munifah Munifah, Munifah Muniroh, Luthfiyatul Nanda Ridki Permana Nangkula Utaberta Nurhanurawati Nurhanurawati Nurhanurawati Nurhanurawati Palupi, Endah Kinarya Panse, Vishal R Parama Kartika Dewa PRAMUDAWARDANI, HANIS puspitarum, deska lismawenning Rahma Diani Rahma Diani, Rahma Rahmad Junaidi, Rahmad Rahmi Ramadhani Rashidi Abdull Manap, Mohd Riana, Ulfa Ridhona, Ilma Ridwanulloh, M. Ubaidillah Rika Rahmawati Rika Rahmawati Rizka Dwi Saputri Rizqi Prastowo Rohim, Miftahul Romadhona, Annisa Nurhuda Saiful*, Saiful Santi Widyawati Saxena, Arti Siregar, Rahmat Nawi Sismanto Sismanto Steven Iwamony Sugeng Sutiarso Sugeng Sutiarso Suharno Suharno Sumarni, Tita Cardiah Suparman Suparman Suparman Suparman Syamsul Huda Syamsul Huda Takahashi, Hirotaka Tortop, Hasan Said Triani Triani Usman, Musawwir Vico Luthfi Ipmawan Vina Apriliani Wahyudianto, Benny Wibowo, Bonno Andri Wirani, Ayu Puspa Yakin, Khusnul Yasin, Muhamad Yetri Hasan Yudha Satya Perkasa Yudha Satya Perkasa, Yudha Satya Zakir Sabara