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All Journal KOMUNIKE: Jurnal Komunikasi Penyiaran Islam KEUNIS Journal of Natural Science and Integration JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Dinamika Sosial Jurnal Ilmiah Manajemen dan Bisnis Jurnal Ilmiah Akuntansi dan Bisnis Open Access Indonesia Journal of Social Sciences Jurnal Analisis Hukum Journal of Education and Teaching Learning Open Access Indonesia Journal of Social Sciences Journal of Technology and Informatics (JoTI) TIERS Information Technology Journal Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi International Journal Software Engineering and Computer Science (IJSECS) Journal of Digital Learning and Distance Education International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Journal of Artificial Intelligence and Digital Business Room of Civil Society Development APLIKATIF: Journal of Research Trends in Social Sciences and Humanities Indonesian Journal of Multidisciplinary on Social and Technology International Journal of Multidisciplinary Approach Research and Science Journal of Education Method and Learning Strategy Educative: Jurnal Ilmiah Pendidikan Jurnal Ilmiah Multidisiplin Indonesia Jurnal Riset Multidisiplin dan Inovasi Teknologi Journal of Community Service and Society Empowerment AMPLITUDO: Journal of Science & Technology Innovation Journal of Social Science Utilizing Technology Journal of Language Education MANDALIKA: Journal of Social Sciences International Journal of Integrated Science and Technology Journal of Advanced Computer Knowledge and Algorithms Journal of Social Science Utilizing Technology EDUTREND: Journal of Emerging Issues and Trends in Education Room of Civil Social Development Digitus : Journal of Computer Science Applications Journal of Material Science and Radiation
Hakimi, Musawer
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Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring Hakimi, Musawer; Suranata, I Wayan Aditya; Ezam, Zakirullah; Samadzai, Abdul Wahid; Enayat, Wahidullah; Quraishi, Tamanna; Fazil, Abdul Wajid
Jurnal Ilmiah Telsinas Vol 8 No 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i1.6242

Abstract

Generative AI for IoT Hydroponics Monitoring System for Smallholder Farmers in Developing Regions This is in an effort to support AI-based narrative feedback for real-time decision-making with reference to sensor data (TDS/EC, temperature) and plant context-the pertinent data are species and age. The system, therefore, consists of an ESP32 sensor device; a Flutter mobile application; and the cloud services being offered via Thingsboard and the Gemini API. A systematic approach was undertaken, including design, implementation, integration, and usability testing. The results show effective real-time data collection and secure communication, with accurate AI feedback validated by expert judgment. The results exhibited how AI and IoT could collude in aiding smart agriculture. Future work will concentrate on enhancing the accuracy of the model based on ground truth data and improving the accessibility of the platform.
Analysis of Clustering Results for Crime Incident Data in Indonesia Using Fuzzy C-Means Retno, Sujacka; Hakimi, Musawer
Journal of Advanced Computer Knowledge and Algorithms Vol. 2 No. 3 (2025): Journal of Advanced Computer Knowledge and Algorithms - July 2025
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v2i3.22565

Abstract

This study examines the clustering of crime incident data across Indonesia from 2000 to 2024 using the Fuzzy C-Means (FCM) algorithm, with a focus on the impact of data normalization. Comprehensive annual provincial crime statistics from Badan Pusat Statistik (BPS) were preprocessed to handle missing values and then standardized via the Standard Scaler. FCM clustering was performed separately on both the original and normalized datasets, with the number of clusters set to three. Cluster quality was evaluated over ten independent runs using five metrics: Davies-Bouldin Index (DBI), Silhouette Score (SS), Calinski-Harabasz Index (CH), Adjusted Rand Index (ARI), and Normalized Mutual Information (NMI). Results indicate that normalization consistently yields lower DBI values (average 0.824 vs. 0.830) and higher SS (average 0.367 vs. 0.363) and CH scores (average 55.35 vs. 54.09), while ARI and NMI remain stable across treatments. These findings demonstrate that normalization enhances cluster compactness and separation without altering underlying data structures, leading to more interpretable and reliable groupings. By uncovering regional crime patterns and highlighting the methodological importance of preprocessing, this research provides actionable insights for policymakers and law enforcement agencies to allocate resources more effectively and develop targeted crime prevention strategies.
INTERCULTURAL COMMUNICATION STRATEGIES FOR SUSTAINABLE CONFLICT RESOLUTION IN INDONESIA Farid, Ahmad Salman; Hakimi, Musawer
KOMUNIKE: Jurnal Komunikasi Penyiaran Islam Vol. 17 No. 1 (2025): Communication & Digital Ethics
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jurkom.v17i1.12914

Abstract

Diversity often triggers multicultural tensions. Conflict resolution frameworks appropriate to the Indonesian context are still rarely studied. This study offers a strategic framework consisting of three steps: increasing cultural awareness and sensitivity, facilitating inclusive dialogue, and collaborative problem-solving. Using a mixed-method approach, this study combines 25 semi-structured interviews with community leaders, mediators, and stakeholders in five conflict-prone provinces, as well as a survey of 312 respondents. The findings show that increasing cultural awareness strengthens mutual respect and reduces stereotypes; inclusive dialogue is effective in bridging social differences; and collaborative problem solving combines traditional approaches (consensus-based deliberation) with modern governance. However, there are still communication gaps between generations and a lack of follow-up mechanisms.
THE ROLE OF DIGITAL LITERACY AND TECHNOLOGY ADOPTION IN FACILITATING SOCIAL TRANSFORMATION IN AFGHANISTAN Hakimi, Musawer; Sediqi, Mateeullah; Kohistani, Ahmad Jamy; Quraishi, Tamann
Jurnal Ilmiah Dinamika Sosial Vol 9 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jids.v9i2.6809

Abstract

In Afghanistan, the rate of technological development is balanced by the challenges of digital literacy due to sociopolitical instability, the lack of infrastructure, and educational disparities. This research not only examined the landscape of digital literacy and technology use for Afghan adults, but also the challenges and opportunities around using technology. A quantitative cross-sectional design was employed and data were collected from 300 individuals aged 18 and older, representing urban and rural areas. Demographic representation was assured through purposive sampling by gender, age, education, and occupation. Data to assess participants digital skills, technology use, and perceived barriers to digital literacy and technology were collected through a five-point Likert scale questionnaire which relied on previously validated digital literacy frameworks. The participants completed the survey questions either face-to- face as part of an interview, or an online survey available in Dari and Pashto. The findings indicate that there are considerable gaps in access to, and skills to use, digital technologies, especially for rural and lesser educated groups, and identify distance and as a consequence reinforcing the digital divide in Afghanistan.This study fills a major gap in the research literature on digital literacies and provides an empirical study from a conflict-affected country such as Afghanistan, which is one of the few on this topic. This study also provides insights into complex links between sociopolitical instability and gender inequities and educational impediments to digital exclusion. The study underscores the need for improved access to technology and infrastructure as key factors in digital literacy initiatives. By presenting data-driven evidence from Afghanistan, this research adds a critical perspective to global digital literacy discussions, serving as a model for similar contexts. Policymakers and development organizations can use these findings to close digital divides and foster long-term digital empowerment in Afghanistan.
INTEGRATING BLOCKCHAIN IN EDUCATIONAL MANAGEMENT SYSTEMS: TRANSPARENCY AND ACCOUNTABILITY IN PUBLIC ADMINISTRATION Nadry, Zabihullah; Sirat, Abdul Wali; Hakimi, Musawer; Quraishi, Tamann
Jurnal Ilmiah Dinamika Sosial Vol 9 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/jids.v9i2.7079

Abstract

Blockchain application in educational administrative systems has emerged as a possible way to enhance transparency, accountability, and efficiency in administrative and academic operations. Despite its growing relevance, a systematic review of blockchain applications across public administration and the field of education is not abundant. With this inquiry, we intend to deliver an extensive literature review to highlight trends, benefits and limitations regarding the use of blockchain technology in educational governance and management in the interest of systematically reviewing and reporting empirical studies through the PRISMA methodology. A Systematic Literature Review (SLR) approach, consisting of synthesizing relevant literature according to the specification outlined by the PRISMA framework, resulted in 25 quality studies that were published between 2016-2025, selected from various peer-reviewed journals contained within the databases of IEEE Xplore, ScienceDirect, SpringerLink, Emerald Publishing, MDPI, and Wiley Online Library. Results of a thematic analysis revealed three significant themes: (1) blockchain enables secure verification of credentials, exchange of credits and green learning teaching learning processes; (2) blockchain supports public sector reform, enhancing transparency and accountability within government bodies; and (3) realization of blockchain technology has been hindered by concerns of cost, scalability, privacy and, resistance to implementation. Overall, this study suggests that blockchain can be catalytic for scaling teaching, learning and administrative processes in education and highlights the need for strategic frameworks in order to overcome technological and organizational challenges.
Artificial Intelligence and Legal Reform in Developing Countries: Advancing Ethical, Rights-Based, and Accountable Digital Governance Hakimi, Musawer; Zarinkhail, Shuaib; Sahnosh, Faqeed Ahmad
Jurnal Ilmiah Telsinas Vol 8 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i2.6934

Abstract

The appreciation and speed of technological development and deployment in artificial intelligence (AI) bring enormous risks and opportunities to the developing world. Developing countries are likely to have less vested systems of regulation which risk ethical liability, legal liability, and social inclusion. This article presents an interdisciplinary legal framework for AI regulation for developing countries for the responsible deployment of AI vis-a-vis innovation relative to fundamental human rights and ethical safeguards. Using a huge trove of scholarly articles, policy documents, and case studies dating from 2017 to 2025 from journals such as Springer, IEEE Access, Wiley, MDPI, and ACM, this research synthesizes interdisciplinary lessons in computer science, law, ethics, and social sciences. The review of the troves of data highlighted important aspects of regulation, risk management, and governance principles towards AI regulations in emerging economies. The model proposed in this paper includes a mandatory assessment process for AI, deal with standards for algorithmic explain ability, autonomous regulatory agencies, sectoral risks, principle of inclusive design, public education in digital literacy, and strong protections for human rights. Developing countries require a rights-based, multi-stakeholder regulatory approach that addresses the technical, ethical, and legal complexities of AI. Implementing such a framework will promote equitable AI innovation while safeguarding human rights and fostering sustainable development.
Artificial Intelligence in Educational Leadership: Strategic, Analytical, Interactive, and Decision-Making Applications for the Digital Age Sirat, Abdul Wali; Hakimi, Musawer; Himmat, Bilal; Enayat, Wahidullah
Jurnal Ilmiah Telsinas Vol 8 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i2.7044

Abstract

AI (artificial intelligence) is becoming an increasingly important factor in educational leadership by sharpening organizational strategy, analytical decision-making, interaction, and creativity. This article aims to systematically review AI applications in educational leadership contexts that can help both leaders and followers identify significant opportunities, challenges, or outcomes as part of effective leadership practice in a digital age. A qualitative systematic literature review was conducted using several credible databases (IEEE Xplore, Science Direct, MDPI, Wiley Online Library, Web of Science) and included work published from 2018 to 2025. A search strategy was developed to include specific keywords pertaining to AI and educational leadership along with peer-reviewed and English language studies. After applying stringent inclusion and exclusion criteria during the review, 35 studies were selected and analyzed in depth. The analysis points to the possibilities of AI to boost strategic planning, efficiency in resource allocation, predictive decision making, performance monitoring and evidence-based supportive approaches to personalized learning. AI opens up intentions and engagements between leaders, educators, and learners, and serves as an evidence-based resource for leader innovation in practice. The review and commentary also highlight key issues for research and practice, namely the ethical implementation of AI in education, methodological rigor, and transparency in reporting effects, and the critical role of human and AI collaborative tandem as a leadership practice for maximization. In conclusion, AI has the potential to advance educational leaders' effectiveness toward more efficient, informed, and innovative models, while also informing research and practice implications.
Internet of Things-Based Bus and Student Monitoring System on Free School Transportation Madiun City Rosyadi, Arfian Dwiki; Puspaningrum, Lintang Diah; Hakimi, Musawer
Digitus : Journal of Computer Science Applications Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i2.464

Abstract

Traffic incidents and violations, particularly among students, pose safety concerns for parents and authorities. To address this issue, the Madiun City Government introduced the Free School Transport program through the Madiun City Transportation Office, providing school buses for students in Madiun City. However, despite this initiative, students and parents face challenges tracking bus arrivals due to weather conditions, traffic congestion, and schedule delays. This study proposes developing MASBUS, an Internet of Things (IoT)-based monitoring system for real-time school bus tracking. The system integrates a GPS module for location tracking and an RFID module for student identification. Data is transmitted via NodeMCU ESP8266 to a web server, stored in a MySQL database, and accessed through an Android application. The MASBUS app provides real-time location updates and sends automatic notifications when students board or leave the bus. The implementation of this system enhances student safety, improves transportation efficiency, and enables real-time monitoring for parents and school authorities. MASBUS contributes to a smarter and safer school transportation system by offering a more transparent and reliable tracking solution.
Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan Fazil, Abdul Wajid; Hakimi, Musawer; Shahidzay, Amir Kror; Hasas, Ansarullah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 2 (2024)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i2.268

Abstract

This article explores the pivotal intersection of Artificial Intelligence (AI), student engagement, and academic performance in higher education, specifically at Kabul University. As technology evolves, understanding AI's implications on education becomes critical for effective pedagogical strategies and student readiness. The research aims to bridge the gap between technological advancements and educational practices, comprehensively investigating AI's impact on student engagement and academic performance. The study addresses awareness, ethical considerations, autonomy perceptions, and AI integration into curricula. Employing a quantitative approach, the study involves 200 students from various Kabul University faculties, utilizing SPSS version 23 for analysis. Regression analyses, ANOVA, and structured questionnaires allow a nuanced exploration of AI engagement dimensions. Key findings indicate commendable AI awareness in students' daily lives, with room for improvement in academic integration. Ethical considerations emphasize a baseline for ethical AI use. Autonomy perceptions and AI tool engagement reveal nuanced layers, emphasizing a holistic AI education approach. In conclusion, this research advocates a balanced AI integration in education, offering implications for pedagogical strategies, curriculum development, and institutional policies. The findings guide educators, policymakers, and institutions in navigating AI-enhanced learning environments, ensuring students' technological literacy and ethical grounding.
Comprehensive Insights Into E-Learning in Contemporary Education: Analyzing Trends, Challenges, and Best Practices Hakimi, Musawer; Katebzadah, Shairagha; Fazil, Abdul Wajid
Journal Of Education And Teaching Learning (JETL) Vol. 6 No. 1 (2024): Journal of Education and Teaching Learning (JETL)
Publisher : CV. Pusdikra Mitra Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/jetl.v6i1.1720

Abstract

This study explores E-Learning in Modern Education at Afghanistan Universities, aiming to analyze trends, address challenges, and identify best practices. Employing a mixed-methods approach, it incorporates surveys and content analysis for both quantitative and qualitative data. A stratified random sampling strategy ensures representation from diverse faculties, resulting in 180 participants. Key findings emphasize widespread adoption of Learning Management Systems, multimedia content, mobile learning, and gamification for enhanced student engagement. Challenges include content management and resistance to change, highlighting complexities in E-Learning implementations. The study aligns with established theoretical frameworks like the Technology Acceptance Model and cognitive load theory, contributing to the theoretical understanding of E-Learning dynamics. Implications extend to educators, policymakers, and instructional designers, guiding strategic decision-making and interventions. Limitations, including potential response bias and context-specific considerations, underscore the need for cautious interpretation, paving the way for future research. In conclusion, this research provides a comprehensive examination of E-Learning trends and challenges, offering actionable insights for the ongoing discourse in digital education.
Co-Authors Abdul Wahid Samadzai Abdul Wajid Fazil Abidullah, Adel Adhi, Nurseto Adie Wahyudi Oktavia Gama Afifi, Sara Agustini, Ni Wayan Eva Ahmadi, Lima Ahmady, Ezatullah Akrami, Fazila Akrami, Khatera Akrami, Mursal Amir Kror Shahidzay Amiri, Frishta Amiri, Ghulam Ali Arafah, Kavita Aslamzai, Sebghatullah Azimy, Abdul Shakoor Barge Gul Khalili Behnaz Rahimi Danish, Jawad Daudzai, Mehriya Enayat, Wahidullah Ezam, Zakirullah Faqiri, Ahmad Fawad Faqiri, Nasrin Farid, Ahmad Salman Fazil, Abdul Wajid Fazila AKRAMI Frishta Amiri Frugh, Qurban Ali Gede Humaswara Prathama Gede Indrawan Gede Rasben Dantes Ghafory, Hamayoon Ghiasi, Zaynab Hakimi, Faiz Mohammad Hakimi, Nargis Hakimi, Samer Hakimi, Shohib Halimi, Yalda Hamidi, Shir Ahmad Harpina, Deya Hasas, Ansarullah Hejran, Muska Himmat, Bilal Hussaini, Mohammad Fawad I Gusti Ngurah Darma Paramartha I Made Agus Oka Gunawan I Wayan Aditya Suranata Ida Ayu Iswari Pidada Jawad Danish Katebzadah, Shairagha Khaliqyar, Khudai Qul Khani, Atefeh Mohammad Khatera AKRAMI Kohistani, Ahmad Jamy Maliha AHRARI Marpaung, Rosanna Mirwali Azizi Mohammad Aziz Rastagari Mohammad Mustafa Quchi Mohammadi, Farida Gul Mojadadi, Abdul Rahman Mursal AKRAMI Musaka Hejran Musawi, Sayed Zabihullah Naderi, Zuhoruddin Nadry, Zabihullah Najieb, Khairullah Naseri, Mohammad Fahim Nasrat, Abdulfatah Pangaribuan, Jontra Jusat Popal, Zekrullah Puspaningrum, Lintang Diah Qarizada, Abdulkhaliq Qasemi, Parisa Quchi, Mohammad Mustafa Quraishi, Tamana Quraishi, Tamann Quraishi, Tamanna Rahimi, Behnaz Rahimi, Nasrallah Rahmani, Khoshal Rahmani, Khoshal Rahman Rajaee, Sayed Mohammad Kazim Rastagari, Mohammad Aziz Rosyadi, Arfian Dwiki Safrizal Safrizal Sahnosh, Faqeed Ahmad Sajid, Saidamin Samadzai, Abdul Wahid Sediqi, Mateeullah Selpia, Reva Shahbazi, Hafizullah Shahidzay, Amir Kror Sirat, Abdul Wali Sudestra, I Made Ardi Sujacka Retno Tarashtwal, Omid Ulusi, Helena Wadeed, Wali Mohammad Zahid, Nabila Zainullah Matin Zarinkhail, Mohammad Shuaib Zarinkhail, Shuaib