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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 319 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): Januari 2026
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): Januari 2026
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): Januari 2026
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): Januari 2026
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.
Transforming DNA Sequences into Musical Patterns Via A 3-mer Classification Prayoga, Abel; Khatizah, Elis
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5258

Abstract

DNA can be viewed as a symbolic sequence with patterns that vary across species. This study explores DNA sequences through two complementary approaches: species classification using simple machine learning methods and transformation of DNA into musical note representations. In the first task, DNA sequences from five organisms with different evolutionary distances are represented using 3-mer and 6-mer features. These k-mers form a vocabulary whose frequency counts are converted into feature vectors. Random Forest (RF) and Support Vector Machine (SVM) models are then applied for five-class classification. Using an 80:20 train-test split and 10-fold cross-validation, the SVM model achieved average accuracies above 0.90 for 3-mer features, with low standard deviation, indicating stable performance. In the second approach, 3-mer motifs are mapped to musical notes to generate species-based musical patterns. The resulting musical representations exhibit distinct structural differences across species, reflecting variations in underlying sequence composition. Overall, the results demonstrate that 3-mer features are effective for species discrimination and that musical transformation provides an alternative and intuitive way to visualize DNA sequence patterns.Keywords – DNA Classification, DNA-to-Music, Random Forest, SVM.
Studi Perbandingan Kinerja PLTD Gunung Belah pada Penggunaan Biodiesel B35 dan B40: Tinjauan Teknis dan Dampaknya terhadap Keandalan Operasional Samudra, Bobby Galang; Firdaus, M Raafi Aqil; Laksmono, Rudy; Yanto, Sri
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.4829

Abstract

In response to rising global energy uncertainty and geopolitical fragmentation, Indonesia has accelerated its energy transition through the development of high-percentage biodiesel blends. This study analyzes diesel engine performance using B35 (2024) and B40 (2025) blends to assess their technical feasibility and impact on national energy resilience. Using a quantitative experimental method, daily energy production data from three diesel generator (PLTD) units were collected over four months under real operating conditions. The 2024 results show that B35 produced a consistent increase in monthly output, peaking at more than 1,025 MWh in April, indicating good combustion efficiency and operational stability. In contrast, 2025 data show that B40 exhibited more fluctuating performance, with peak output in March but a decline in April due to system load prioritization. Nevertheless, B40 demonstrated potential for better thermal efficiency and specific fuel consumption (SFC) if load management is optimized. These findings highlight the need for adaptive system management and infrastructure readiness to support the integration of high-percentage biodiesel, thereby strengthening Indonesia’s energy transition and national energy independence.Keywords - Biodiesel B40; Diesel Engine Performance; Energy Security; SFC; Renewable Transition.
Optimasi Penempatan Distributed generation dan Kapasitor Bank Berbasis Particle Swarm Optimization untuk Meningkatkan Kinerja Sistem Distribusi Kota Sabang Muhajir; Suriadi, Suriadi; Melinda, Melinda
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5343

Abstract

The Sabang electricity system is an isolated grid system that relies on diesel power plants with long distribution lines, which can cause high losses and voltage drops. This study aims to find the optimal placement of Distributed Generation (DG) and capacitors using Particle Swarm Optimization (PSO) Method to reduce losses and voltage deviation, with a voltage limit of 5% on a 20 kV system. Simulation results show that without DG and capacitors, losses reach 26 kW at peak load and 24.4 kW at normal load, with low voltages at some buses. After optimization, the combined use of DG and capacitors reduces losses by 50.82% at normal load and 51.15% at peak load. The voltage profile also improves by about 200 - 350 V at each bus, bringing it closer to the nominal value of 20 kV. Compared with Genetic Algorithm (GA), PSO provides better results, with 0.45 - 3.79% lower active power losses and 0 - 7.40% lower reactive power losses. This proves that PSO is effective in improving the efficiency, voltage quality, and reliability of isolated distribution systems.Keywords – Distributed generation (DG), Losses, Particle Swarm Optimization (PSO), Renewable Energy
Front Cover Jurnal Al Azhar Indonesia Cover, Front
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5410

Abstract

Design and Construction of a Web-Based Inventory Management Information System Using the Safety Stock and Economic Order Quantity (EOQ) Methods Rahmah, Adelia Sakinah; Harahap, Aninda Muliani
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5300

Abstract

Effective inventory management is essential to maintain stock availability and control inventory costs in distribution companies. PT Panasonic Gobel Indonesia, Medan Branch, still faces challenges due to non-integrated inventory recording, resulting in data inconsistencies, reporting delays, and difficulties in determining optimal order quantities. These issues increase the risk of stock shortages and excess inventory, highlighting the need for an integrated inventory management information system. This study aims to design and develop a web-based inventory management system using the Safety Stock and Economic Order Quantity (EOQ) methods. The research applies a Research and Development (R&D) approach with the Waterfall model, covering requirement analysis, system design, implementation, and testing stages. Data were collected through observation, interviews, and literature review. The system was developed using PHP with the Laravel framework, a MySQL database, and UML. Model validation was conducted by comparing system calculation results with manual theoretical calculations, while verification was performed through functional and user acceptance testing. The results show that the system can accurately record inventory data, monitor stock levels in real time, and automatically calculate EOQ and safety stock, thereby supporting efficient and optimal inventory control.Keywords - Economic Order Quantity (EOQ); Inventory Control; Inventory Management Information System; Safety Stock; Web-Based System

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