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INDONESIA
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI
Published by Universitas Al Azhar Indonesia
ISSN : 20879725     EISSN : 23558059     DOI : -
Core Subject : Health, Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health
Jurnal AL-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI terbit 2 kali dalam setahun yaitu pada bulan Maret dan September adalah jurna; ilmiah yang mempublikasikan artikel hasil penelitan ilmiah dan ide-ide di bidang sains dan teknologi. Jurnal ini berfokus pada bidang teknik industri, teknik elektro, teknik infromatika, biologi, gizi dan teknologi pangan.
Arjuna Subject : Umum - Umum
Articles 314 Documents
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An EfficientNetV2-Based for Alzheimer’s Disease Classification Wibowo, M Sadewa Wicaksana; Umam, Khairul
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): InPress
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5311

Abstract

In Indonesia, Alzheimer’s disease has emerged as a critical public health priority. This neurodegenerative disorder is characterized by the gradual erosion of memory, linguistic capabilities, and problem-solving skills resulting from irreversible neuronal damage. Magnetic Resonance Imaging (MRI) is commonly used for early diagnosis; however, manual interpretation of MRI scans is time-consuming and subject to inter-observer variability among medical professionals. Recent advances in artificial intelligence have enabled automated analysis of MRI images for Alzheimer’s disease detection, yet many existing approaches rely on deep learning architectures with high computational complexity. To address this limitation, this study proposes a lightweight deep convolutional network based on EfficientNetV2 for Alzheimer’s disease classification using brain MRI images. Data augmentation techniques, including random rotation, affine transformation, horizontal and vertical flipping and normalization are applied to enhance model generalization. Two EfficientNetV2 variants, EfficientNetV2_s and EfficientNetV2_m, are evaluated and compared using accuracy, precision, recall, and F1-score metrics. Experimental results demonstrate that EfficientNetV2_s achieves superior performance, attaining an accuracy, precision, recall, and F1-score of approximately 0.90, while EfficientNetV2_m achieves corresponding values of approximately 0.81, indicating lower generalization capability. These results confirm that the smaller EfficientNetV2_s model provides more accurate and reliable classification performance despite its reduced computational complexity.Keywords - Alzheimer’s Disease, Classification, Convolutional Neural Networks, Deep Learning.
Analisis Sistem Logistik Rantai Pasok Substitusi Bahan Baku PLTU Batu Bara Menggunakan Soft System Methodology (SSM) Barus, Wan Habibi Rahman; Sriwana, Iphov Kumala; Maharani, Nadiya; Ihsan, Muhammad Alif
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): InPress
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5117

Abstract

The use of coal as the primary raw material for Steam Power Plants (PLTU) poses serious challenges related to sustainability, particularly due to high emissions, pollution risks, and supply chain dependence on non-renewable energy sources. Partial coal substitution with biomass is considered an effective strategy to reduce environmental impacts while supporting new and renewable energy targets. This study aims to analyze the potential of palm oil solid waste, wood pellets, and charcoal briquettes as coal substitutes using the Soft System Methodology (SSM) approach. The study follows seven SSM stages, starting from problem identification, compiling a problem description, formulating a root definition, CATWOE analysis, building a conceptual model, a debating process, and recommending corrective actions. The analysis results indicate that biomass substitution is feasible if supported by an integrated logistics system, the availability of biomass supplies, and compliance with the technical specifications for PLTU combustion. Biomass from palm oil waste, wood waste, and agricultural residues has a fairly stable energy value and can be obtained through a more environmentally friendly supply chain. Overall, this study confirms that the SSM approach is effective in understanding the complexity of coal-fired power plant problems and formulating renewable energy-based solutions through strengthening the biomass logistics system.Keywords - Biomass, PLTU, Renewable Energy, Soft Systems Methodology, Supply Chain Logistics.
Komposisi Tubuh dan Durasi Tidur Subjek Dewasa Kelebihan Berat Badan dan Obesitas Umami, Zakia; Puspa, Amalina Ratih; Alfiah, Elma; Rachmah, Jasmine Nailufar; Fitryaningrum, Dwi Asri
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): InPress
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.3150

Abstract

Obesity can be caused by poor sleep quality/duration. The purpose of this study was to analyze the relationship between body composition and sleep duration in overweight and obese adult subjects. The design of this study was cross sectional and was carried out for 8 (eight) months from March to October 2022. The data used in this study were weight and height data. Data on fat-free mass and fat mass were obtained through direct measurements using Inbody 270. The inclusion criteria for this study were adult men and women aged 18 to 65 years, Body Mass Index (BMI) of more than 25 kg/m2, Waist circumference > 80 cm , The number of research subjects is 32 people. The average age of the subjects was 27.34 years and almost all subjects were classified as young adults (18-40 years). More than half of the subjects had higher education and most of the subjects worked as private employees. Almost all research subjects had obesity nutritional status (84.4%). research subjects had body composition in the normal category for indicators of protein (66.0%), minerals (69.0%), FFM (72.0%), and SMM (66.0%). Meanwhile, most of the subjects were in the excess category for body composition indicators BFM (100.0%), BMI (100.0%), and PBF (100.0%). 40.6% of subjects had sleep duration of less than 7 hours. The results showed that there was no relationship between sleep duration and various indicators of body composition.Keywords - Body Composition, Fat Free Mass, Fat Mass, Obesity, Overweight, Sleep Duration.
Analisis Pengaruh Sudut Kemiringan Terhadap Efisiensi Energi pada Sistem Pembangkit Listrik Tenaga Surya Menggunakan System Advisor Model Software Irsan, Muhammad; Noor, Nurul Chairunnisa; Sultan, Rhamadhana
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): InPress
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.3948

Abstract

With an emphasis on Indonesia's solar energy potential, this study investigates how panel tilt angle affects energy efficiency in solar power-producing systems. Economic expansion is increasing the energy demand, which is driving a search for affordable, sustainable, and ecologically friendly renewable energy sources. Because solar power plants use sunlight to generate energy, it is crucial to design systems considering variations in sunshine intensity brought on by elements such as solar panel tilt angle. This experiment shows that adjusting the tilt angle can maximize solar energy absorption and increase conversion efficiency. By collecting meteorological data from a representative site in Makassar and conducting experiments with tilt degrees ranging from 0° to 60°, a dogmatic approach was taken. According to the results, an ideal tilt angle of 10° produces the most energy output each year, however angles between 30° and 40° work best from May to August when sunlight is at its strongest. The results show that to optimize solar energy efficiency and encourage the use of renewable energy, tilt angle modifications must be made appropriately based on seasonal variations.Keywords – Efficiency, Renewable Energy, Solar Power, Tilt Angle.

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