cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
ASEF WILDAN MUFADLILA
Contact Email
acheif90@gmail.com
Phone
+6285790241092
Journal Mail Official
jsret.knpub@gmail.com
Editorial Address
Jalan Doro Putih No.12 Gogorante Kec. Ngasem Kab, Kediri
Location
Kab. kediri,
Jawa timur
INDONESIA
Journal of Scientific Research, Education, and Technology
Published by Kirana Publisher
ISSN : 29647843     EISSN : 29626110     DOI : https://doi.org/10.58526/jsret
Core Subject : Economy, Science, Education, Social, Engineering,
Computer Science & IT Economics, Econometrics & Finance Education Engineering Social Sciences
FOCUS AND SCOPE JSRET (Journal of Scientific Research, Education, and Technology) encourages scientific and technological research, particularly with regard to Indonesia, but not just in terms of authorship or regional coverage of current issues. Scientists, instructors, senior researchers, project managers, research administrators, and students who are far along in their research are all required to contribute. The journal encompasses a variety of topics, including child development, curriculum, reading comprehension, philosophies of education and educational approaches, etc.. There will be a thorough screening process before an article is published in JSRET. The editorial contents and elements that comprise the journal include: Theoretical articles Empirical studies. Case studies Systematic Literature Review. Report evaluation and research findings; Treat conceptual and methodological issues; and/or Consider the implications of the above for action; and/or An extensive book reviews section and also occasional reports on educational materials and equipment. The editorial board welcomes innovative manuscripts from Science and Technology field. The scopes of this journal are Agriculture Architecture and Civil Engineering Astronomy and Space Engineering Biology, Biological and Bio System Engineering Chemistry and Chemical Engineering Computer Science and Engineering Curriculum Department of Education Developmental Education Economic education and research Educational technology (the use of electronic educational technology is also called e-learning) Educational animation Educational philosophies Educational psychology Electric, Electronic, and Electrical Engineering Environment Science and Engineering Food Science and Engineering Humanistic education Instructional technology Language education Medical education Management research and education Health science phenomenon Online learning community Mathematics and Mathematics Education Organization of Laboratories Physics, Material, and Mechanical Engineering Science and Engineering Education
Arjuna Subject : Umum - Umum
Articles 730 Documents
 65   66   67   68   69 
Integrated Ensemble Forecasting and EOQ Optimization in Spare Part Inventory Acep Saepuloh Fatah; Ahmad Tri Hidayat
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.922

Abstract

Accurate spare part inventory control remains a challenge for service centers, as fluctuating demand often results in stock-outs or excess inventory that increases operational costs and reduces customer satisfaction. The research involves creating a web-based inventory for AGH Center, incorporating ensemble-based demand forecasting with the Economic Order Quantity (EOQ) approach. The developed system, using six months of historical transactional and spare parts consumption data, produces demand forecasts for the next 7, 14, and 30 days, using a weighted combination ofARIMA, Exponential Smoothing, Linear Regression, and Moving Average forecasting estimation methods. Accuracy of the demand forecasts is measured with MAPE, RMSE, MAE, R², bootstrap confidence intervals, and statistical tests for thresholds. Ensemble forecasting has proven to be superior to other benchmarks as depicted with MAPE metric scores at annual averages of 12.8%, 16.4%, and 19.7%, greatly improving the estimation of annual demand forecasts. Integrating EOQ further enables total cost savings of 26.11%. The system has automated forecasting and EOQ calculations, and advanced computerized frameworks to solve for demand in real-time which though predictable, remains a remarkable adaptation to spare parts inventory control
Comparative Analysis of Adam and RMSprop Optimizers on Bi-LSTM Models for Indonesian–Ngapak Translation Jordi, Hery Setiyawan; Zakariyah, Muhammad
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.923

Abstract

This study analyzes the performance comparison between the Adam and RMSprop optimization algorithms in training a Bidirectional Long Short-Term Memory (Bi-LSTM) model with an Attention mechanism for Indonesian–Ngapak language translation. A parallel corpus of 23,592 sentence pairs was used, divided into training, validation, and testing datasets. The experimental results show that the Adam optimizer achieved faster convergence with a validation accuracy of 95.5%, validation loss of 0.43, and BLEU-1 to BLEU-4 scores of 0.8775, 0.8317, 0.7887, and 0.7393, respectively. In contrast, RMSprop reached 93.6% validation accuracy, 0.49 validation loss, and BLEU scores of 0.8284, 0.7636, 0.7034, and 0.6384. These results indicate that Adam offers higher efficiency and adaptability in optimizing neural parameters compared to RMSprop. Overall, this research contributes to the development of Neural Machine Translation for low-resource local languages while supporting the preservation of Ngapak as part of Indonesia’s linguistic heritage.
A Deep Learning Approach for Faded Road Marking Detection Using YOLOv8 Prasetyo, Damar Galih Jati; Muhammad Zakariyah
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.929

Abstract

Faded road markings can reduce driver visibility and increase the risk of traffic accidents. This study aims to develop an automatic detection system to identify the level of road marking fading using a deep learning approach based on YOLOv8. The dataset consists of 2,049 road marking images categorized into two classes clear and faded and trained with four data augmentation variations: no augmentation, horizontal flip, saturation + exposure, and a combination of 90° rotation, grayscale, saturation, and brightness. The research process includes data collection, image preprocessing, model training, and evaluation using accuracy, precision, recall, and F1-score metrics. Experimental results show that the model trained with saturation + exposure augmentation achieved the best performance, with an accuracy of 86%, precision of 86%, recall of 86%, and an F1-score of 85%. These findings demonstrate that illumination- and color-based augmentation variations are effective in improving the model’s generalization capability under diverse environmental conditions. This study is expected to serve as a foundation for developing automatic road marking monitoring systems to enhance transportation safety and efficiency.
Development of an Integrated Web and Mobile-Based MSME Information System Using a User-Centered Design Approach Alfarizqy, Dimas Anugrah Putra; Hidayat, Ahmad Tri
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.933

Abstract

This research focuses on the development of an integrated information system designed to promote and market the products of Micro, Small, and Medium Enterprises (MSMEs) by employing a User-Centered Design (UCD) methodology. The developed system encompasses a web-based platform for MSME agency administrators and a complementary mobile application for end consumers. The research methodology adhered to the four established phases of UCD: planning, design, development, and evaluation. The outcome of this process is a fully-featured system comprising a comprehensive product catalog, an integrated payment gateway supporting QRIS, e-wallet, and virtual account transactions, a shopping cart, a wishlist functionality, a product review and rating system, and real-time order tracking. A rigorous usability evaluation conducted using the System Usability Scale (SUS) yielded an impressive score of 85.2, which falls within the ""excellent"" acceptability range. The findings demonstrate that the system is highly effective in enhancing the visibility of MSME products and provides a secure and convenient platform for facilitating digital transactions for consumers.
Academic System for Teacher–Parent Monitoring of Student Learning Progress Gilang Estu Saputra; Tri Hidayat, Ahmad
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.935

Abstract

This study develops a Web-Based Academic Information System (SIA) as an integrated communication platform between teachers and parents to monitor student learning progress at SD Negeri 3 Gunungwuled, Purbalingga. The research addresses delayed academic information flow caused by manual, paper-based reporting and inconsistent communication channels. Using a user-centered, iterative design and development approach, the system implements real-time grade input, attendance monitoring, learning progress reports, and a responsive interface accessible to both teachers and parents. Functional and usability testing with representative users demonstrated improved accessibility, reduced information delays, strengthened two-way communication, and a more efficient monitoring workflow within daily school operations. The system’s architecture supports timely data entry by teachers and instant visibility for parents, ensuring alignment on student performance, attendance patterns, and targeted interventions. Results indicate the platform effectively replaces fragmented manual processes with a coherent digital workflow, enhancing transparency and decision-making. The study concludes that the SIA enables a practical digital transformation in academic management at the primary school level and contributes a replicable model for similar institutions seeking to modernize academic information services and parent–teacher communication.
Body Dissatisfaction Among Adolescents Receiving Health Services at Payaman Community Health Center Aini, Dwi Fitria; Suhadianto
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.936

Abstract

The phenomenon of body dissatisfaction has increasingly appeared among adolescents, especially in the era of social media that emphasizes certain beauty standards. This study aims to understand the psychological dynamics of body dissatisfaction in an adolescent receiving health services at Payaman Community Health Center and to describe effective psychological interventions to help the client overcome this issue. The research employed a qualitative single-case study approach, with data collected through interviews, observations, and psychological assessments, including graphic tests (HTP and DAP) and the Depression Anxiety Stress Scale (DASS-42). The assessment results indicated recurring negative thought patterns regarding body image, feelings of inferiority, and a tendency toward social withdrawal. The intervention was conducted using a Cognitive Behavioral Therapy (CBT) approach, through stages of identifying negative thoughts, cognitive restructuring, developing positive self-talk, and implementing more adaptive behaviors. The intervention results showed increased self-awareness and more realistic thinking patterns. The client began to distinguish between facts and assumptions, develop positive alternative thoughts, and demonstrated improvements in self-confidence and self-acceptance. This study concludes that CBT-based interventions are effective in reducing body dissatisfaction among adolescents, particularly when accompanied by social and family support.
Development of a Web-Based Sales Information System for Pilox Paint Imron, Afrizal; Hidayat, Ahmad Tri
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.937

Abstract

In retail, efficient sales information systems improve transaction accuracy and operational productivity (Rahman, 2022). This study develops a web-based sales information system for Pilox Paint Store to streamline sales, inventory, and reporting. The goal is to address manual record-keeping, slow transactions, and stock discrepancies by digitizing operations. The system uses the Waterfall methodology: requirements, design, implementation, testing, and deployment (Li et al., 2023). Technologies include Laravel (backend), MySQL (database), and modern web frameworks to ensure scalability and security (Kumar & Singh, 2021). Testing shows 65% faster transaction processing, real-time inventory updates, and automated sales reports. User acceptance testing with store staff indicates high satisfaction (4.3/5) for usability and efficiency (Patel, 2023). The system improves data accuracy and supports management decisions. Results confirm that digitizing retail operations reduces errors and improves customer service (Anderson et al., 2022). This work demonstrates the value of web-based systems in small to medium retail and provides a reusable approach for similar stores. Future work will explore mobile integration and advanced analytics.
Enhancing Convolutional Neural Network Accuracy for Herbal Leaf Classification Using Squeeze and Excitation Attention Utomo, Ragil Gigih; Mardhiyyah, Rodhiyah
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.938

Abstract

Accurate identification of herbal plant species is crucial for human health, but remains challenging, even for experts. This study addressed this need by developing a Convolutional Neural Network (CNN) model integrated with an attention mechanism for reliable herbal leaf classification. The research implemented the MobileNetV2 architecture, which was enhanced by incorporating the Squeeze-and-Excitation (SE) attention module. The dataset consisted of 1,500 images across 10 classes of herbal leaves, split into 80% for training, 10% for validation, and 10% for testing. Both the native CNN and the enhanced CNN (CNN-AM) models were trained using TensorFlow and evaluated using standard metrics like accuracy, precision, recall, and F1-score. The comparison results decisively demonstrated the effectiveness of the attention mechanism. Integrating Squeeze-and-Excitation significantly improved performance. The average accuracy of the model increased from 68% to 72%, while the average loss decreased from 1.03 to 1.02. The best-performing CNN-AM model achieved a strong 86% accuracy with a 0.53 loss. These findings confirm that the Squeeze-and-Excitation attention mechanism effectively enhances herbal leaf classification performance, offering a promising foundation for developing reliable and efficient identification systems.
Pregnant Women's Knowledge About Early Detection of Preeclampsia at The Akbar Medica Clinic Mojokerto Regency Nurhayati, Nunuk
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.939

Abstract

Preeclampsia and eclampsia rank second in the world as a contributor to maternal mortality and morbidity. Preeclampsia is a serious health problem and has a high level of complexity because its impact is not only on the mother during pregnancy and childbirth, but also on the baby. Every pregnancy has a risk of complications, so identifying risk factors for preeclampsia is an important priority. The type of research used is descriptive research. The sample used was 30 pregnant women in the first and second trimesters in the Akbar Medika Clinic working area from January to September 2025. The results showed that of the 30 pregnant women, most of them had insufficient knowledge about early detection of preeclampsia, as many as 50% (15 mothers). This was influenced by the age of mothers aged <20 years as many as (5 mothers) 100%, from those with basic education had insufficient knowledge as many as (7 mothers) 77.8%. Of the 22 mothers, 73.3% were unemployed. Lack of knowledge about preeclampsia among pregnant women can lead to their inability to recognize the early signs and symptoms of this condition. As a result, when they experience symptoms such as swelling, hypertension, or visual disturbances, they may dismiss them as not serious or as normal. This risks delaying treatment and increasing the risk of complications for both mother and fetus..  
Android-Based Information System for Monitoring and Evaluation of Industrial Internship Activities Ardhiansyah Wahyu Setyadi; Rodhiyah Mardhiyyah
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.941

Abstract

Industrial work practice is a compulsory program for vocational high school students as part of work-based learning. In Temanggung, monitoring and evaluation are still done manually using paper documents, making it difficult for teachers and industry supervisors to track students’ progress in real time. The separation of attendance, activity reports, and performance assessments also causes inefficiency and potential data loss. To address this, an Android-based information system was developed to provide real-time monitoring and integrate all evaluation components into one platform. Students, teachers, and industry partners use the mobile app, while administrators manage data through a web-based system. The system enables supervisors to monitor students’ daily activities remotely and unifies attendance, reports, and performance assessments in a single platform, improving administrative efficiency and simplifying the management of industrial work practice activities at SMK N 2 Temanggung.

Page 67 of 73 | Total Record : 730

 65   66   67   68   69 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 1 (2026): Vol. 5 No. 1 2026 Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025 Vol. 4 No. 3 (2025): Vol. 4 No. 3 2025 Vol. 4 No. 2 (2025): Vol. 4 No. 2 2025 Vol. 4 No. 1 (2025): Vol. 4 No. 1 2025 Vol. 3 No. 4 (2024): Vol. 3 No. 4 2024 Vol. 3 No. 3 (2024): Vol. 3 No. 3 2024 Vol. 3 No. 2 (2024): Vol. 3 No. 2 2024 Vol. 3 No. 1 (2024): Vol. 3 No. 1 2024 Vol. 2 No. 4 (2023): Vol. 2 No.4 2023 Vol. 2 No. 3 (2023): Vol. 2 No. 3 2023 Vol. 2 No. 2 (2023): Vol. 2 No. 2 2023 Vol. 2 No. 1 (2023): Vol. 2 No. 1 2023 Vol. 1 No. 2 (2022): Vol. 1 No. 2 2022 Vol. 1 No. 1 (2022): Vol. 1 No. 1 2022 More Issue