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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Dinamika Jurnal Pendidikan Dasar Proceeding of the Electrical Engineering Computer Science and Informatics Al Ishlah Jurnal Pendidikan Jurnal Administrasi Pendidikan Indonesia PEDAGOGIA Literasi : Jurnal Ilmu Pendidikan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Journal of Innovation and Research in Primary Education Nuansa Informatika Jurnal Guru Komputer Pedagogia : Jurnal Ilmiah Pendidikan Khazanah Sosial
Munir Munir
Universitas Pendidikan Indonesia
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Development of Augmented Reality as a Learning Media on Informatics Learning Hardware Material in SMP Vani Aprianto; Munir Munir; Rani Megasari
NUANSA INFORMATIKA Vol. 19 No. 1 (2025): Nuansa Informatika 19.1 Januari 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i1.235

Abstract

This study was motivated by the researcher's concern about the difficulty of informatics subjects at the junior high school level. Moreover, when examined, hardware material is a challenge for teachers and students in carrying out learning in the classroom. In some places, student motivation and learning outcomes in understanding hardware material tend to be low. The purpose of this study is to develop Augmented Reality learning media on learning informatics hardware material in class VII junior high school. The research method used is Research and Development (R&D) which uses the Brog & Gall research model with 10 models, then simplified into 3 major steps which will be implemented in the development procedure process by adopting the results of Sukmadinata's R&D model simplification. Testing the feasibility of development, it was tested with the results of a media expert assessment of 81.25% very feasible criteria. While the material expert assessment with a score of 81.82% is very feasible. The results of the implementation of student respondents on a limited scale were 76.42% of the interesting category and a wide scale of 84.11% of the very interesting category. So it can be concluded through the results of expert validation, limited scale trials and wide scale trials, that augmented reality as learning media is feasible to use as a learning tool during the learning process
Klasifikasi Perilaku Konsumen Pasca Boikot Produk Israel Menggunakan Naive Bayes dan SVM Darojat, Wildan Mauli; Siregar, Herbert; Rasim, Rasim; Munir, Munir
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 1 (2026): Februari 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i1.3429

Abstract

The ongoing Israel–Palestine conflict has contributed to the rise of consumer boycott movements directed at products associated with Israel. These reactions are prominently articulated on social media platforms and indicate changing patterns in consumer attitudes and behavior. This research seeks to analyze and classify public sentiment in Indonesia regarding the boycott issue by employing Natural Language Processing (NLP) techniques in combination with Machine Learning methods, specifically Naïve Bayes and Support Vector Machine (SVM). The dataset comprises user-generated comments obtained from TikTok and Instagram between October 2023 and September 2024 through web scraping procedures. The data were subsequently subjected to manual annotation, text preprocessing, and feature extraction using the TF-IDF weighting scheme. The dataset was partitioned into 80% training data and 20% testing data, and model performance was assessed using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the SVM model outperformed Naïve Bayes on the training set, achieving an accuracy of 81% and demonstrating stronger generalization in detecting positive sentiment. In contrast, the Naïve Bayes classifier attained an accuracy of 78%, showing consistent performance and superior capability in identifying negative sentiment. These results underscore the significance of selecting classification algorithms that are well suited to the distributional characteristics of sentiment data derived from social media.Keywords: Text Classification; Support Vector Machine; Naïve Bayes; Boycott; Consumer BehaviorAbstrakKonflik Israel–Palestina yang terus berlangsung telah mendorong munculnya gerakan boikot konsumen terhadap produk-produk yang memiliki keterkaitan dengan Israel. Respons tersebut banyak diekspresikan melalui platform media sosial dan mencerminkan perubahan pola sikap serta perilaku konsumen. Penelitian ini bertujuan untuk menganalisis dan mengklasifikasikan sentimen masyarakat Indonesia terhadap isu boikot tersebut dengan menerapkan teknik Natural Language Processing (NLP) yang dikombinasikan dengan metode Machine Learning (ML), yaitu Naïve Bayes dan Support Vector Machine (SVM). Dataset penelitian terdiri atas komentar pengguna yang dikumpulkan dari platform TikTok dan Instagram selama periode Oktober 2023 hingga September 2024 melalui teknik web scraping. Data selanjutnya melalui proses anotasi manual, praproses teks, serta ekstraksi fitur menggunakan skema pembobotan TF-IDF. Dataset dibagi menjadi 80% data latih dan 20% data uji, dengan kinerja model dievaluasi menggunakan metrik accuracy, precision, recall, dan F1-score. Hasil eksperimen menunjukkan bahwa model SVM menghasilkan performa yang lebih unggul pada data latih dengan tingkat akurasi sebesar 81% serta memiliki kemampuan generalisasi yang lebih baik dalam mendeteksi sentimen positif. Sementara itu, algoritma Naïve Bayes mencapai akurasi sebesar 78% dan menunjukkan kinerja yang konsisten serta lebih efektif dalam mengidentifikasi sentimen negatif. Temuan ini menegaskan pentingnya pemilihan algoritma klasifikasi yang sesuai dengan karakteristik distribusi data sentimen yang bersumber dari media sosial. 
Investigate The Relationship Between ICT Adoption and SME Performance with Digital Literacy Serving as A Mediator Variable Using TOE Framework Uus Muhamad Husni Tamyiz; Munir Munir; Chairul Furqon; Puspo Dewi Dirgantari
Khazanah Sosial Vol. 7 No. 3 (2025): Khazanah Sosial
Publisher : UIN Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ks.v7i3.49432

Abstract

The current study investigates the relationship Information Communication Technology (ICT) and social media adoption, with Small Medium Enterprise (SME) performance in West Java, Indonesia, utilizing digital literacy as a mediator variable.   The Technology-Organization-Environment (TOE) paradigm was utilized in conjunction with Diffusion of Innovation (DOI) theory to evaluate the impact of nine technological, organizational, and environmental features on ICT adoption.  To collect data, an online questionnaire was distributed to 396 small business owners, executives, and supervisors in West Java, and the results were analyzed using Partial Least Squares Structural Equation Modeling. According to the findings, organizational and contextual variables had a substantial impact on both ICT acceptance as well as digital literacy, but technological factors only influenced ICT adoption. The study found that ICT usage improves SME performance both directly and indirectly through the mediation of digital literacy.  The study broadens the TOE framework by incorporating previously underutilized factors like interactivity, visibility, and the bandwagon effect, while also providing empirical evidence of digital literacy's critical role in improving the relationship between technology adoption and business performance.  These findings provide useful insights for SME stakeholders in emerging economies looking to capitalize on digital transformation for a competitive advantage, emphasizing the significance of complete digital literacy development alongside technology adoption efforts.
The Influence of Principal Instructional Leadership and Teacher Work Motivation on Elementary School Teacher's Teaching Performance Nurisnaeni Nurisnaeni; Munir Munir; Asep Suryana
Journal of Innovation and Research in Primary Education Vol. 5 No. 1 (2026)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jirpe.v5i1.3117

Abstract

This study aims to analyze the influence of instructional leadership of school principals and teachers' work motivation for the teaching performance of elementary school teachers in Tegalwaru District, Purwakarta Regency. The approach used is quantitative with correlation and multiple regression methods. The study population included 237 teachers from 25 elementary schools, with a sample of 142 teachers determined through proportional random sampling techniques. Data was collected using a five-point Likert scale questionnaire that has been tested for validity and reliability. Data analysis was carried out with the help of SPSS 24 through descriptive statistics, prerequisite tests, correlation tests, determination coefficients, F tests and t tests, as well as the preparation of regression equations. The results showed that instructional leadership had a significant effect on teaching performance with a contribution of 43.6%, work motivation had a significant effect with a contribution of 30%, and simultaneously both explained 47.6% of teacher performance variations. Implication, strengthening instructional leadership and a system of increasing work motivation needs to be a priority for elementary school policies. It is recommended that school principals improve academic supervision, coaching, and professional support, while teachers develop pedagogic competencies and classroom management through continuous development programs. Follow-up research is recommended to include other factors outside the model, such as school culture, parental support, and learning facilities, to explain the remaining variation in performance and enrich the development of teacher performance management models at the primary education level.
Co-Authors A Sobandi Ai Hilyatul Halimah Aji Prasetya Wibawa Andoyo Sastromiharjo anne Hafina, anne Armein Z.R. Langi Asep Suryana Azizah Nurul Khoirunnisa Chairul Furqon, Chairul Dahlia Rineva Puspitasari Darojat, Wildan Mauli Deni Darmawan Deny Hidayatullah Faaizah Shahbodin Fachrul Kurniawan Herbert Siregar Indah Nurmahanani Ira Purnamasari Jaja Kustija Kurniawan, Fachrul Laksmi dewi Lala Septem Riza Margana, Achmad Mochamad Hariadi Nurisnaeni Nurisnaeni Puspo Dewi Dirgantari Rani Megasari Rasim Rasim Rasim, Rasim Supeno Mardi Susiki Nugroho, Supeno Mardi Supriadie, Didi Sururi . Szalsza Maulida Udin Syaefudin Sa’ud Uus Muhamad Husni Tamyiz Vani Aprianto Yusep Rosmansyah Zsalzsa Puspa Alivia Zulaiha, Aida Ratna