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Peningkatan Literasi Digital dan Keamanan Berbasis Etika pada Guru: Studi Kasus Sosialisasi Etika dan Keamanan Media Sosial di SMA Negeri 1 Batu Muhammad Sonhaji Akbar; Rizky Basatha; Bambang Sujatmiko; Riza Akhsani Setyo Prayoga; Ersha Aisyah Elfaiz
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2025): November 2025
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v5i2.1370

Abstract

Kegiatan pengabdian masyarakat ini bertujuan meningkatkan literasi digital dan praktik keamanan bermedia sosial yang berorientasi etika bagi guru di SMA Negeri 1 Batu. Kegiatan dilaksanakan secara tatap muka pada 16 Juni 2025 dengan partisipasi sekitar 40 guru. Pendekatan yang digunakan berupa sosialisasi dan pelatihan aplikatif (workshop) berdurasi ±2,5 jam yang mengintegrasikan paparan konseptual, demonstrasi teknis (manajemen kata sandi, pengaturan privasi, verifikasi dua langkah, serta identifikasi serangan phishing), dan diskusi studi kasus. Evaluasi dilaksanakan melalui instrumen pre-test dan post-test yang dilengkapi kuesioner umpan balik untuk mengukur perubahan pengetahuan dan kesiapan penerapan. Hasil evaluasi menunjukkan adanya peningkatan pemahaman konseptual serta kesiapan praktis peserta dalam menerapkan langkah-langkah keamanan digital dasar, disertai respons positif terhadap relevansi dan aplikabilitas materi. Peserta mengusulkan perluasan cakupan materi misalnya aspek tindak pidana siber dan pemanfaatan kecerdasan buatan dalam konteks pendidikan serta rekomendasi untuk mekanisme pendampingan berkala. Kesimpulannya, intervensi ini efektif dalam meningkatkan kesadaran etika dan kapasitas dasar keamanan digital di kalangan guru; untuk memastikan keberlanjutan dan penguatan kompetensi, disarankan pengembangan modul lanjutan, monitoring berkala, dan evaluasi kuantitatif yang lebih komprehensif.
Pemanfaatan Deep Learning dalam Kurikulum Pembelajaran Abad 21: Sebuah Tinjauan Literatur Muhammad Zain; Muhammad Sonhaji Akbar
SISFOTENIKA Vol. 15 No. 2 (2025): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/sisfotenika.v15i2.577

Abstract

The transformation of education today is highly dependent on the use of technology, aiming to prepare students who are skilled, adaptive, and ready to compete in the industrial world. This study aims to systematically examine the use, role, and challenges of implementing Deep Learning as part of Artificial Intelligence in the renewed educational curriculum. The study employs a Systematic Literature Review, and its data comes from 28 scientific articles, journals, and research reports that examine the application of Deep Learning technology in education. The research data were analyzed based on themes to identify roles, uses, benefits for 21st-century skills, and difficulties in implementation. The results of the study indicate that Deep Learning plays a significant role in learning that is tailored to student needs through an adaptive system, helps develop appropriate skills in the 21st century (4C), and improves methods for analyzing educational data for early intervention.
Analisis Sentimen Performansi Operator Telekomunikasi di Indonesia Menggunakan Metode Text Mining Ersha Aisyah Elfaiz; Riza Akhsani Setyo Prayoga; Monica Cinthya; Muhammad Sonhaji Akbar; Rizky Basatha
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 1 (2025): April 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i1.4024

Abstract

The telecommunications sector in Indonesia has experienced rapid development in recent years, characterized by the increasing number of telecommunications operators offering various services and products. Therefore, there is competitive rivalry among operators. The right strategy is needed to survive and compete effectively. One of the efforts that can be made by telecommunication companies is to evaluate operational performance. This research aims to analyze the sentiment of X users towards telecommunication operational performance, at Telkomsel and Tri operators using text mining methods, namely Naïve Bayes, Support Vector Machine (SVM) and Decision Tree Learning (DTL). The research data is obtained by crawling from the X application, then the data is processed to remove unnecessary words or affixes. Then data modeling and validation is carried out using split validation and cross validation techniques. In the split validation technique, the data is divided into 70% training data and 30% testing data, while in the cross-validation technique the fold parameter is set to determine which fold has the highest accuracy. The results of the study show that the SVM method has the highest accuracy, where in split validation the accuracy is 84.29% for Telkomsel data and 75.70% for Tri data. Similarly, in cross validation, the accuracy is 82.15% on fold 4, 7 for Telkomsel data and 61.41% on fold 9 for Tri data. In addition, it is known that Telkomsel data has 18.64% positive sentiment and 81.36% negative sentiment. While Tri data has 61.11% positive sentiment and 38.89% negative sentiment.
The Effect of Project-Based Learning Using E-Learning on Student Learning Outcomes in Vocational Education Courses Desmira Desmira; Muhammad Sonhaji Akbar; Erik Rahman; Taufik Taufik; Julius Jonas Mbawala
Vocational: Journal of Educational Technology Vol. 2 No. 2 (2026)
Publisher : Yayasan Pendidikan Dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/vocational.v2i2.603

Abstract

The integration of digital technology in higher education has accelerated the need for innovative pedagogical approaches that foster active learning and digital competence. Project-Based Learning (PjBL) supported by e-learning provides authentic, technology-driven experiences that are particularly valuable in vocational education, where students must connect theory with practice. This study examined the effect of PjBL using e-learning on student learning outcomes in vocational education courses at the Department of Information Technology Education, Universitas Negeri Surabaya. A quasi-experimental pretest–posttest control group design was employed with 64 purposively selected undergraduate students from the 2024/2025 academic cohort. Participants were assigned equally to an experimental group (n = 32), which received PjBL integrated with e-learning, and a control group (n = 32), which received conventional lecture-based instruction. Data were collected through pretests and posttests and analyzed using descriptive statistics, independent samples t-test, and effect size calculations. Findings revealed that the experimental group achieved significantly higher posttest scores (M = 84.63, SD = 5.21) compared to the control group (M = 76.88, SD = 6.02). The independent samples t-test confirmed the significance of the difference (t = 5.67, p < 0.001), while Cohen’s d (d = 1.32) indicated a large effect size. These results demonstrate that integrating PjBL with e-learning substantially improves learning outcomes in vocational education. In conclusion, PjBL supported by e-learning offers an effective instructional strategy for enhancing problem-solving, higher-order thinking, and active student engagement. The findings suggest that aligning pedagogy with digital platforms can optimize learning effectiveness and strengthen students’ readiness for professional challenges.
Rancang Bangun Website Analysthub Berbasis Problem-Based Learning Untuk Meningkatkan Kompetensi Associate Data Analyst Alfa Qorina; Muhammad Sonhaji Akbar
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 5 (2026): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i5.1780

Abstract

Data Analysis instruction at SMKN 1 Sarirejo remains lecture-based, leaving students passive and their Associate Data Analyst competencies underdeveloped, with an average score of 69.6, below the minimum criterion of 75. This study describes the development of “AnalystHub,” an interactive website based on Problem-Based Learning (PBL); analyzes the improvement of students' Associate Data Analyst competencies; and determines the website's usability using the System Usability Scale (SUS). The study used an R&D method with the ADDIE model, involving 22 tenth-grade TKJ students at SMKN 1 Sarirejo. AnalystHub was built using Laravel 12, Tailwind CSS, MySQL, Pyodide, a Groq API-based AI Assistant, and Chart.js, and was validated by four experts with an average score of 93.0% (Very Valid). The Paired Sample T-Test showed a significant increase in cognitive competency (t = -24.147; p < 0.001) with a mean N-Gain of 0.689 (Medium, approaching High), while psychomotor competency achieved a mean posttest score of 81.30 (Good). SUS measurement yielded a mean score of 81.36 (Grade B, Acceptable), proving PBL integration effectively improves vocational students' data analysis competencies.
Pengembangan Lms Berbasis PBL Untuk Meningkatkan Critical Thinking Pada Elemen Algoritma Pemrograman Siswa SMK Fadila Novitasari; Muhammad Sonhaji Akbar
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 5 (2026): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i5.1920

Abstract

This study aims to develop a web-based Learning Management System (LMS) integrated with the Problem-Based Learning (PBL) model in the Algorithm and Programming element to test its feasibility, student critical thinking improvement, and student responses at SMKS Rajasa Surabaya. The research and development (R&D) method was applied using the ADDIE development model (Analyze, Design, Develop, Implement, Evaluate). The subjects consisted of 28 tenth-grade students of Computer and Network Engineering (TKJ) 1 using a One Group Pretest-Posttest Design. Data collection instruments included expert validation sheets, cognitive pretest-posttest, and student response questionnaires. Data were analyzed using percentage descriptive statistics, Shapiro-Wilk normality test, Wilcoxon Signed-Rank Test, and N-Gain test. Results indicated that: (1) The Moodle-based LMS achieved high validity from material experts (92.5%), test item experts (94%), lesson plan/RPM experts (92.85%), and media experts (90%); (2) There was a significant improvement in students' critical thinking skills, with average scores increasing from 54.24 to 82.63 (Asymp. Sig. 0.000 < 0.05) and an average N-Gain of 0.6174 (medium category); (3) Student response achieved 82.62% (very good category). Thus, the developed LMS is feasible and effective in enhancing critical thinking skills.
Rancang Bangun Lms Berbasis Web Menggunakan Project-Based Learning Untuk Meningkatkan Kemampuan Berpikir Komputasional Pada Kompetensi Pemrograman Dasar Ika Desy Pramita Sari; Muhammad Sonhaji Akbar
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 5 (2026): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i5.1926

Abstract

The teaching and learning process of Algorithm and Programming in vocational high schools is still dominated by conventional teaching methods, resulting in low student engagement and underdeveloped computational thinking skills. This study aimed to develop and evaluate the feasibility and effectiveness of a web-based Learning Management System (LMS) implementing the Project-Based Learning (PjBL) model. The research employed the Research and Development (R&D) method using the ADDIE development model, which consists of five stages: analysis, design, development, implementation, and evaluation. The research subjects were 35 tenth-grade students of the Computer and Network Engineering (TKJ) program at SMKS Dharma Bahari Surabaya. Data were collected through expert validation, system testing, pretest-posttest, and project assessment, and were analyzed using descriptive statistics, the Wilcoxon Signed Rank Test, and N-Gain analysis. The results showed that the developed web-based LMS was categorized as highly valid based on expert evaluations. The Wilcoxon Signed Rank Test yielded an Asymp. Sig. (2-tailed) value of 0.000 (p < 0.05), while the N-Gain score of 0.6227 was classified as moderate. Therefore, the web-based LMS implementing the Project-Based Learning model was considered feasible and effective in improving students' computational thinking skills in basic programming competency.
Pengembangan Lms Berbasis Moodle Dengan Model Pjbl Untuk Meningkatkan Kemampuan Kognitif Pada Elemen Pemrograman Web Kelas 11 Tkj Smkn 1 Surabaya Fauzan Ainur Rofiq; Muhammad Sonhaji Akbar
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 5 (2026): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i5.1982

Abstract

Learning in the Web Programming element for Grade 11 Computer and Network Engineering (TKJ) students at SMKN 1 Surabaya still faces challenges, including limited utilization of the Learning Management System (LMS), teacher-centered instruction, and students' cognitive abilities that have not reached the expected level. This study aimed to develop a Moodle-based Learning Management System integrated with the Project-Based Learning (PjBL) model, evaluate its feasibility, and examine its effectiveness in improving students' cognitive abilities. This study employed the Research and Development (R&D) method using the ADDIE model, consisting of Analysis, Design, Development, Implementation, and Evaluation. The research involved Grade 11 TKJ students at SMKN 1 Surabaya, divided into an experimental class and a control class. Data were collected through expert validation, tests, observations, interviews, documentation, and Black Box Testing. The collected data were analyzed using the Shapiro–Wilk normality test, Levene's homogeneity test, and the Mann–Whitney U test. The results showed that the developed LMS was highly valid, with validation scores of 97.39% for the teaching module, 90.00% for the media, 91.81% for the learning materials, and 95.00% for the test instruments. Black Box Testing confirmed that all LMS features functioned as intended. The experimental class achieved a higher average posttest score (88.33) than the control class (78.66), while the average pretest scores were 61.50 and 64.00, respectively. The Mann–Whitney U test produced a significance value of p < 0.001, indicating a significant difference between the two groups. Therefore, the Moodle-based LMS integrated with the PjBL model is feasible for implementation and effective in improving students' cognitive abilities in the Web Programming element.  
IMPLEMENTASI ARTIFICIAL INTELLIGENCE DALAM PEMBELAJARAN: OPTIMALISASI PENILAIAN BERBASIS HOTS DI SMKN 10 SURABAYA Muhammad Sonhaji Akbar; Ramadhan Cakra Wibawa; Ersha Aisyah Elfaiz; I Gusti Lanang Putra Eka Prismana; Atan Pramana; Raka Tegar Wicaksono
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 4 (2026): Vol. 7 No. 4 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i4.62375

Abstract

Revolusi Generative Artificial Intelligence (GenAI) menuntut pendidik vokasi mentransformasi evaluasi hasil belajar dari tingkat rendah ke instrumen berorientasi Higher Order Thinking Skills (HOTS). Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan kompetensi digital guru SMKN 10 Surabaya dalam merancang instrumen penilaian HOTS yang selaras dengan Kurikulum Merdeka menggunakan platform Kinantiku.com. Mitra menghadapi tantangan tingginya beban administratif harian dan keterbatasan waktu merekayasa butir soal tingkat menganalisis (C4), mengevaluasi (C5), dan mencipta (C6). Pelaksanaan PkM mencakup lima tahapan: analisis kebutuhan diagnostik, penyusunan modul prompt engineering, workshop intensif, pendampingan MBKM, dan evaluasi dampak. Hasil evaluasi terhadap 70 responden guru menunjukkan 95,7% peserta mengonfirmasi bahwa integrasi AI sangat membantu efisiensi waktu penyusunan Tes Kemampuan Akademik (TKA) dan bank soal HOTS. Selain itu, 98,6% responden memberikan penilaian tinggi terhadap kemudahan operasional platform. Program ini berkontribusi pada pencapaian Sustainable Development Goals (SDGs), khususnya SDG 4 (xPendidikan Berkualitas), SDG 5 (Kesetaraan Gender), SDG 8 (Pekerjaan Layak dan Pertumbuhan Ekonomi), dan SDG 17 (Kemitraan untuk Mencapai Tujuan). Kemitraan terstruktur ini terbukti membangun ekosistem evaluasi pembelajaran yang adaptif dan efisien.