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All Journal Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Buletin Ilmiah Sarjana Teknik Elektro
Hidayah, Rihmah Alifah
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Astronomy Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Physics

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Development of a Schaum's Outline Series Module on Spin Angular Momentum for Physics Education Students: Feasibility Study and User Acceptance Oktova, Raden; Putri, Risky Afandi; Sukarelawan, Moh. Irma; Hidayah, Rihmah Alifah
Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Vol. 17 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bfi-jifpa.v17i1.31983

Abstract

Spin angular momentum is an abstract concept in quantum mechanics that often causes conceptual and mathematical difficulties for Physics Education students. The limited availability of specific teaching materials tailored to the characteristics of prospective teachers has prompted the need to develop structured and contextual modules. This study aims to develop a quantum mechanics module on spin angular momentum that is suitable and appropriate for undergraduate Physics Education students. This study uses the Research and Development (R&D) method with the ADDIE model limited to the Development stage. The research subjects consisted of two Physics Education lecturers as validators and eleven students who had taken the Quantum Mechanics course. The instruments were expert validation questionnaires and student acceptance questionnaires using a 4-point Likert scale, while the data were analyzed descriptively and quantitatively in the form of percentages. The expert validation results showed a very feasible category in terms of material (94.4%), usefulness (87.5%), presentation (85.7%), and language (75%), as well as a feasible category in terms of graphics (71.8%). The student acceptance test showed a very satisfied category in all aspects, with percentages ranging from 89.20% to 94.31%. Thus, the developed module was declared feasible and very well accepted as self-learning material, and has the potential to support the strengthening of students' conceptual understanding.
Fuzzy Logic-Based Classification of Crescent Moon Images Using Contrast and Thickness Pramudya, Yudhiakto; Firdausy, Kartika; Jufriansah, Adi; Okimustava, Okimustava; Khoirunnisa, Itsnaini Irvina; Murti, Bayu Krisna; Hidayah, Rihmah Alifah; Murinto, Murinto; Maulidan, Muhammad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.14964

Abstract

Accurate determination of the crescent moon (hilal) is crucial for establishing the start of lunar months in the Islamic calendar; however, observations are frequently hindered by daylight conditions, atmospheric disturbances, and subjective visual interpretation. This research proposes a fuzzy logic-based classification system to evaluate crescent moon images using contrast and arc thickness as input parameters, providing a transparent, rule-based alternative to black-box machine learning models for hilal visibility assessment. Images were collected on four distinct observation dates (May 28, 2025, August 5, 2024, September 16, 2023, and May 9, 2021) under varying atmospheric conditions and crescent appearances. Each image underwent pre-processing to extract quantitative measures of arc contrast and thickness, which were subsequently fuzzified using triangular and trapezoidal membership functions. A fuzzy inference system employing expert-defined rules was then used to compute a visibility score for each observation. The resulting visibility scores of 0.4691, 0.4604, 0.4689, and 0.4154, respectively, placed all four observations within the “partially visible” category. These findings demonstrate the system's capability to manage observational ambiguity in daylight conditions, showing potential for reliable classification while still requiring validation on larger datasets and clear non-visibility cases, and offering a transparent and interpretable framework to support more consistent and standardized hilal classification for calendrical purposes.
Co-Authors Adi Jufriansah Kartika Firdausy Khoirunnisa, Itsnaini Irvina Maulidan, Muhammad Moh. Irma Sukarelawan Murinto Murinto Murti, Bayu Krisna Okimustava Okimustava Putri, Risky Afandi Raden Oktova Yudhiakto Pramudya