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ASEF WILDAN MUFADLILA
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jsret.knpub@gmail.com
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Jalan Doro Putih No.12 Gogorante Kec. Ngasem Kab, Kediri
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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 778 Documents
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Comparative Optimization of Tajwid Detection in Quranic Verses Using Deep Learning Mukharam, Adinesa; 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.v4i4.973

Abstract

This study addresses the challenge of accurate Qur’anic recitation, particularly the rules of nun sakinah and tanwin, which are often difficult for learners to master through traditional instruction. The research aims to develop and evaluate an automated tajwid detection system using a deep learning–based object detection model to assist learners in accurately and interactively recognizing tajwid rules. The method involved dataset preparation from 125 Qur’anic pages, producing 600 annotated instances across five tajwid classes. The dataset was preprocessed and divided into training, validation, and test sets. Model performance was evaluated using precision, recall, and mean Average Precision. The system was deployed in a web-based interface that supports both image upload and real-time camera detection. The results showed an overall accuracy of 94.6%, with a precision of 96.5% and a recall of 90.2%. The findings indicate that the Smart Tajwid system effectively integrates deep learning and educational technology to support Qur’anic learning
Policy Formulation for the Empowerment of Indigenous Communities in Tana Toraja Regency, South Sulawesi Province Pajala, Samuel; Handoko, V Rudy; Sadono, Teguh Priyo
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.v4i4.975

Abstract

This study analyzes the formulation of empowerment policies for Indigenous Peoples in Tana Toraja by examining how policies are designed, whose interests are represented, and what ideal model is expected by indigenous communities. Using a descriptive qualitative approach, data were collected through in-depth interviews with key customary actors representing different positions in the Toraja social structure. The results show that current policy formulation remains dominated by a top-down bureaucratic logic, resulting in participation that is administrative rather than substantive. Indigenous communities articulated four major interests—recognition, meaningful involvement, cultural protection, and regulatory clarity—reflecting the need for alignment between state law and customary law. The findings also reveal that economic empowerment cannot be separated from Toraja cultural continuity, as cultural norms shape social relations and resource management. Based on these findings, this study proposes the Pajala Indigenous Model (PIM), a co-productive policy framework that integrates state and customary authority across all stages of the policy cycle. The model emphasizes cultural alignment, equality in dialogue, and the central role of customary leadership as the basis of policy legitimacy. This study contributes a contextualized framework for indigenous policy formulation and offers practical direction for strengthening empowerment programs in Tana Toraja.
Collaborative Governance Model for Sustainable Village Planning in Kampar District, Riau, Indonesia Aguswan; Handoko, Rudy; Novaria, Rachmawati
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.v4i4.921

Abstract

Sustainable village planning has become a major focus in Indonesia's national development strategy. The concept aims to create rural communities that are resilient, self-reliant, and able to meet the needs of the current generation without compromising future generations' ability to meet their own needs. This study aims to present a governance model for stakeholder collaboration to strengthen sustainable village planning, discussed at the musrenbang forum, starting at the village, sub-district, district/city, and provincial levels. The formulation of village planning involves stakeholders (government, private sector, civil society, universities, and mass media) that can provide input, outcomes, and benefits for sustainable village development planning. This research uses a qualitative, descriptive approach. The analysis of the collaboration model seeks to involve stakeholders in the decision-making process and its implementation. With the Collaboration model for village planning, sustainable village development can be realized. The key to the success of collaboration lies in the commitment of all parties to participate actively.
Towards Inclusive Digital Public Services: Policy Directions for Digital Inclusion of the Elderly in Klaten Regency Setiawan, Abdul Yani; Handoko, V. Rudy; Rochim, Achluddin Ibnu
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.v4i4.924

Abstract

The digital transformation of public services in Indonesia has advanced significantly, yet it remains insufficiently inclusive, particularly for older adults who face a heightened risk of digital exclusion. This study investigates the direction of digital inclusion policy for the elderly in Klaten Regency, where the aging population continues to rise. Employing a qualitative approach with an exploratory case study design, data were collected through document analysis, in-depth interviews with key stakeholders, and participatory observation in five digitally oriented villages. Findings reveal that although digital service infrastructure has been developed, no explicit affirmative policy currently addresses elderly participation in digital public services. Most older adults encounter barriers related to digital access, literacy, and limited social support. The analysis is framed using an inclusive policy strategy, policy ecology, and digital inclusion theory. The study concludes that digital policy in Klaten remains technocratic and insufficiently responsive to the needs of vulnerable groups. To realize genuinely inclusive digital public services, the study recommends cross-sectoral collaboration, the formulation of affirmative policies, and the development of community-based digital literacy programs tailored for the elderly.
A Critical Analysis of Reforming LPP TVRI as a Public Communication Medium in the Digital Era Prasetya, Bambang Jaka; Sadono, Teguh Priyo; Palupi, Merry Fridha 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.v4i4.925

Abstract

This article critically examines the implementation of Government Regulation (PP) No. 13 of 2005 concerning Public Broadcasting Institutions (LPP) of the Republic of Indonesia Television (TVRI) in the last two decades. This study assesses the effectiveness, challenges, and institutional transformation of LPP TVRI in facing an increasingly complex digital media landscape. Through a policy evaluation and analysis of institutional documents, this study reveals a gap between normative mandates and implementation practices in the field. The findings show that the reform of LPP TVRI has not been fully adaptive to the demands of digitalization and public participation. In addition, the emergence of Government Regulation No. 4 of 2024 strengthens the urgency of updating the paradigm of public media governance in Indonesia. TVRI's reform as a public communication medium in the digital era requires more open, innovative, and accountable governance.
Merapi Volcano Refugee Management Information System Saputro, Muhammad Ikhwan Maulana; Anggara, Afwan
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.v4i4.955

Abstract

The Mount Merapi Refugee Management Information System is a system designed to provide information related to the evacuation process in emergencies or disaster situations. The main purpose of this system is to assist and ensure safety and efficiency in the evacuation process. This system can include various elements, such as emergency monitoring, early warning, evacuation plans, evacuation routes, barracks capacity, rescue team coordination, and the latest information for the affected communities. This system is used to optimize the evacuation process of residents when Mount Merapi erupts. By utilizing communication technology, this system provides real-time information on volcanic activity developments, determines evacuation zones in the Merapi disaster area, and provides guidance and notifications to communities around Mount Merapi through various communication channels. The integration of geospatial data and mapping enables the identification of the best evacuation routes, while a user-friendly interface facilitates access and interaction for users. This system is expected to improve evacuation efficiency, minimize risks, and enhance the safety of communities in areas affected by Mount Merapi disasters. The Evacuation Information System is expected to improve coordination, rapid response, and community safety in dealing with emergency situations.
The Broken Bridge of Collaboration: Unpacking Poverty Politics in Eastern Indonesia Onga, Fiko; Handoko, V. Rudy; Maduwinarti, Ayun
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.v4i4.969

Abstract

This study investigates the implementation of Collaborative Governance in poverty alleviation programs in Bolaang Mongondow Timur Regency, North Sulawesi. Grounded in a constructivist paradigm, the research adopts a qualitative case study approach. Data were collected through in-depth interviews, observations, document analysis, and focus group discussions involving stakeholders from five key sectors: government, business, academia, civil society, and media. The findings reveal that although a formal structure (TKPKD) has been established to facilitate coordination, its effectiveness has been compromised following the issuance of Presidential Regulation No. 163/2024, which dissolved the existing institutional framework without providing operational guidelines for its replacement (BPPK). The study identifies a paradox of collaboration: formal documents and coordination mechanisms exist, yet genuine multi-actor interaction remains limited. The involvement of non-government actors is mainly instrumental and symbolic, with civil society and media often excluded from meaningful deliberation. The research concludes that Collaborative Governance in the region remains characterized by a top-down administrative logic rather than an inclusive, transformative practice. A key recommendation is the institutionalization of regular, deliberative, and open multi-actor forums supported by accurate and transparent data systems. This study contributes theoretically by offering a localized adaptation of the Pentahelix model, enriched by institutional improvisation and contextual wisdom.
Restaurant Sales Optimization Through Collaborative Filtering and Market Basket Analysis Methods Zibran, Agil Pranata; Sejati, Rr. Hajar Puji
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.v4i4.974

Abstract

The wide variety of menu options in restaurants often triggers the paradox of choice phenomenon, a condition in which customers struggle to make decisions and tend to order the same items repeatedly. This behavior hinders the exploration of new products and limits the effectiveness of promoting featured menus, ultimately leading to revenue stagnation for the restaurant. This study aims to design and develop an Android-based restaurant ordering system to optimize sales through the real-time delivery of personalized menu recommendations. The system was developed using the ADDIE model (Analyze, Design, Development, Implementation, Evaluation) with technical implementation based on the Flutter and Golang frameworks. This research integrates Item-Based Collaborative Filtering and Market Basket Analysis (MBA). The MBA algorithm is utilized to efficiently calculate support values and item-to-item correlations as a statistical foundation for Collaborative Filtering in generating accurate predictions. Black Box testing validates that all functional features, including menu management, transactions, digital reservations, and the recommendation module, operate properly. In conclusion, the integration of these two methods has proven effective in improving the relevance of menu recommendations, supporting cross-selling and up-selling strategies, and significantly enhancing operational efficiency and customer decision-making quality
Applying Convolutional Neural Networks for Real-Time Recognition of Indonesian Traditional Foods Adiyasa, Ananta Rizqi; Astrianty, Ledy Elsera
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.v4i4.976

Abstract

This study aims to develop an image-based recognition system for Indonesian traditional foods to support the preservation of Nusantara culinary heritage in the digital era using the Convolutional Neural Network (CNN) method. This research was conducted due to the very limited number of studies specifically focused on classifying Indonesian regional traditional foods. Using a transfer learning approach, the pre-trained ResNet50 model was employed as the main architecture, with fine-tuning applied to the final layers to adapt the classification to 13 categories of Indonesian traditional foods. The dataset consisted of 1,300 images that underwent preprocessing and data augmentation to enhance the model’s generalization performance. Evaluation results show that the model achieved an accuracy of 81%, with precision, recall, and F1-score values indicating strong classification performance across most classes. The model was integrated into a user interface system to support real-time image prediction. System testing demonstrated fast response capabilities and high prediction confidence. Overall, this study confirms that CNNs with transfer learning can serve as an effective solution for recognizing Indonesian traditional foods and hold potential for further development as an educational medium and a tool for promoting local culinary culture.
Application of Yolov11 for Corn Plant Disease Detection Based on Leaf Images Shinta, Velen; Suhendar, Agus
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.v4i4.977

Abstract

This study develops a corn leaf disease detection system using the YOLOv11 algorithm to overcome the limitations of manual identification, which is often subjective and slow. The dataset from Roboflow was converted to the object detection format with four classes (Leaf Spot, Blight, Rust, Healthy), annotated with bounding boxes, split in a 70:20:10 proportion, and optimized through preprocessing and data augmentation. The model was trained for 150 epochs, yielding an average precision of 0.785, a recall of 0.662, and an mAP@0.5 of 0.717 from 80 test images. The Healthy class performed superiorly (mAP 0.988), while the Leaf Spot class was the lowest (mAP 0.471) due to the variation of complex lesions. The confusion matrix confirmed prediction consistency. The main advantage is the detection of specific disease locations via bounding boxes, complementing previous classification approaches. This system has the potential to support automatic diagnosis and effective precision agriculture management.

Page 70 of 78 | Total Record : 778

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