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Muhammad Wali
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International Journal Education and Computer Studies
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27764729     EISSN : 27763277     DOI : https://doi.org/10.35870/ijecs.
Core Subject : Science, Education,
Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other
IJECS is committed to bridging the theory and practice of modern education and computer science. From innovative ideas to specific algorithms and full system implementations, IJECS publishes original, peer-reviewed, and high-quality articles in the areas of modern education and computer science. IJECS is a well-indexed scholarly journal and is indispensable reading and reference for people working at the cutting edge of computer science, modern education, and applications.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol. 5 No. 3 (2025): NOVEMBER" : 4 Documents clear
Advancing Science Education through Project-Based Learning: An Analytical Framework of Practical Applications for Indian Secondary Schools in Resource-Constrained Settings Sharma, Anjali
International Journal Education and Computer Studies (IJECS) Vol. 5 No. 3 (2025): NOVEMBER
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v5i3.4444

Abstract

This study looks at how Project-Based Learning (PBL) can be used in real life to improve science education in Indian secondary schools with limited resources. By qualitatively analyzing 111 Hindi-language science projects that follow the National Curriculum Framework, it reviewed three projects that are representative: biodegradable waste decomposition, plant morphology, and rust formation for their design pedagogical content scientific and feasibility. Results show that these inexpensive investigations relevant to the context help develop core competencies effectively such as observation data analysis collaborative inquiry and reasoning based on evidence. By merging learning through experience with relevance to the community, PBL closes the gap between instruction in theory and real scientific practice, even under conditions of resource constraint. In addition, PBL has shown potential for issues of gender and social equity by fostering inclusive participation and contextualized engagement. The study ends with the statement that scaling PBL across schools would need coherent policy alignment, teacher professional development, and reform in assessment practices to take science learning out of rote memorization into reflective inquiry-driven socially responsive education.
Deep Learning Implementation Strategies in Indonesia National Curriculum: A Culturally Responsive Framework for Pinrang Regency Pada, Damir; S, Jumadi
International Journal Education and Computer Studies (IJECS) Vol. 5 No. 3 (2025): NOVEMBER
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v5i3.5508

Abstract

This research develops implementation strategies for Deep Learning approaches within Indonesia's National Curriculum specifically adapted for Pinrang Regency's educational settings. The study employs descriptive qualitative methodology through document analysis and literature review to create strategic frameworks addressing regional educational challenges while honoring Buginese cultural heritage. Five primary strategic domains emerged: conceptual foundation development integrating "sipakainge" and "sipakatau" values; national curriculum adaptation through low-tech high-impact approaches; practical school-level implementation utilizing local phenomena and collaborative "assitulung-tulungeng" patterns; educator capacity building via district-based learning communities; and evaluation systems with situational indicators for sustainability. The research demonstrates that Deep Learning principles can be successfully adapted to diverse local conditions while maintaining pedagogical rigor through systematic integration of cultural wisdom, economic potential, and available resources. The strategic framework creates authentic learning experiences engaging students meaningfully while building 21st-century skills through community partnerships, intergenerational learning, and cultural documentation projects. Findings reveal that effective educational reform requires adaptive strategies responding to local conditions rather than standardized approaches, emphasizing pedagogical creativity over technological sophistication. The framework provides practical guidance for educational leaders implementing culturally responsive Deep Learning approaches, offering replication potential across Indonesian regions through systematic balancing of national standards with local distinctiveness. Success measurement encompasses not only academic outcomes but also cultural identity strengthening, community cohesion enhancement, and students' sense of place development within local and global communities.
Conceptual Model of Siskamling Information System Integration in Smart Village Architecture: A Theoretical Analysis of Efficiency and Sustainability Devi Perwitasari, Ika; Hendrawan, Jodi
International Journal Education and Computer Studies (IJECS) Vol. 5 No. 3 (2025): NOVEMBER
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v5i3.5751

Abstract

This study develops a conceptual model for integrating the Siskamling (Community Security System) into the Smart Village architecture by combining three core theoretical dimensions—information system efficiency, socio-technological sustainability, and digital governance integration. Through a conceptual–theoretical approach, the research synthesizes multiple frameworks, including Information System Integration Theory, the DeLone and McLean IS Success Model, Socio-Technical Systems Theory, and the Digital Sustainability Framework. The model positions Siskamling as more than a digital security platform; it is conceptualized as a socio-technical subsystem that fosters citizen participation, transparency, and institutional collaboration in rural governance. The findings highlight that Smart Village success depends not only on technological infrastructure but also on how digital systems align with social participation and collective resilience. Efficiency in information systems enhances trust and engagement, which in turn sustains socio-technical adaptation and supports integrative smart governance. Theoretically, the model bridges technological and social dimensions in community-based digitalization, while practically, it provides a reference for policymakers and local governments to design participatory and sustainable digital governance strategies. Future research is encouraged to empirically validate this conceptual framework using mixed methods, integrating variables such as digital literacy, policy support, and infrastructure readiness to ensure broader applicability.
Classification of Skipjack Freshness Quality Based on Local Binary Pattern and Gray Level Co-Occurrence Matrix Using K-Nearest Neighbor Y Lamasigi, Zulfrianto; Efendi Lasulika, Mohamad; Mooduto, Sarlis
International Journal Education and Computer Studies (IJECS) Vol. 5 No. 3 (2025): NOVEMBER
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v5i3.5791

Abstract

Katsuwonus pelamis or skipjack tuna is one of the results of fishing commodities from Gorontalo Province. The quality of fresh fish can be degraded easily if not handled and stored properly. Thus, in this study an automatic system for classifying the freshness level of skipjack tuna based on digital image processing techniques was introduced. It uses Local Binary Pattern (LBP) to extract local texture features and Gray Level Co-occurrence Matrix (GLCM) for statistical texture analysis with classification done by K-Nearest Neighbor (K-NN) algorithm using Euclidean distance as a measurement between features. There were 819 training images and 140 test images used in four categories: Fresh, Not Fresh, Worth Consuming, and Rotten. Tests on several values of k showed that the highest accuracy was at k = 1 with an accuracy rate of 86.42% while the lowest was at k = 9 with a rate of 49.28%. This indicates that the combination LBP-GLCM applied in K-NN has potentiality to capture texture difference effect from various levels fish freshness. This method is non-destructive and could be onboard application for fish quality monitoring as well as automatic system for freshness evaluation.

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