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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional MEDISAINS JURNAL PENGABDIAN KEPADA MASYARAKAT INFORMAL: Informatics Journal Jurnal Pengabdian UntukMu NegeRI Al Ishlah Jurnal Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Penelitian Pendidikan IPA (JPPIPA) Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Pendidikan Profesi Guru Journal on Education JTP - Jurnal Teknologi Pendidikan Jurnal Teknologi Informasi dan Pendidikan JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) EDUTEC : Journal of Education And Technology JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Vokasi Informatika (JAVIT) Journal for Lesson and Learning Studies Jurnal Media Pengabdian Kepada Masyarakat (JM-PKM) Tsaqofah: Jurnal Penelitian Guru Indonesia Rangkiang Mathematics Journal Jurnal Sains dan Informatika : Research of Science and Informatic Jurnal Pengabdian Pada Masyarakat JNPM (Jurnal Nasional Pendidikan Matematika) JPNM : Jurnal Pustaka Nusantara Multidisiplin Jurnal Teknik Komputer dan Informatika (JTeKI) Jurnal Media Akademik (JMA) Journal of Innovative and Creativity Jurnal Penelitian Pendidikan Indonesia Journal of Authentic Research Jurnal Ilmiah Nusantara Intechno Journal : Information Technology Journal Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Menulis: Jurnal Penelitian Nusantara Journal of Educational and Learning Studies
Resmi Darni
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Flow-Based Encrypted Network Traffic Classification Using Random Forest for Network Access Control Wahyu Isnan; Yulia Fatmi; Resmi Darni; Vikri Aulia
Intechno Journal : Information Technology Journal Vol. 8 No. 1 (2026): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2026v8i1.2922

Abstract

Encrypted network communications reduce the effectiveness of payload based traffic identification and complicate the translation of traffic analysis into network access control decisions. This study evaluates a payload independent workflow that connects flow based multiclass classification with administrator triggered, time limited firewall enforcement. The experiment used the public ISCXVPN2016 benchmark. After removing 18,719 duplicate records, 40,987 unique flows remained; all 23 available numerical flow features were retained without feature selection or normalization. A Random Forest classifier with 300 trees was selected using five-fold cross-validated grid search on a stratified 80% training partition and evaluated on an independent 8,198 sample test set covering 14 VPN and non-VPN traffic classes. The model achieved 88.01% accuracy, 88.00% weighted precision, 88.01% weighted recall, and 87.97% weighted F1-score. It exceeded the strongest reproduced baseline, K-Nearest Neighbors, by 16.09 percentage points in accuracy and 16.29 percentage points in weighted F1-score. Supplemental five-fold evaluation produced a mean accuracy of 88.05% with a 0.36 percentage point standard deviation. The trained classifier was integrated with a web application in which administrators review predicted flows and initiate temporary MikroTik RouterOS rules. All 30 temporary blocking entries observed in the evaluation database reached the Unblocked state with recorded timestamps, demonstrating rule lifecycle traceability at the database level. The findings show that Random Forest can provide competitive flow based classification while supporting an auditable, human controlled access control workflow; however, device level reliability and cross dataset generalizability require further validation.
Perancangan Sistem Pendukung Keputusan Penerimaan Siswa Baru Menggunakan Metode Simple Additive Weighting Desy Wulan Dari; Yeka Hendriyani; Resmi Darni; Ade Kurniawan
Menulis: Jurnal Penelitian Nusantara Vol. 2 No. 4 (2026): Menulis - April
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/menulis.v2i4.1092

Abstract

Penerimaan siswa baru merupakan proses penting yang menentukan kualitas input pendidikan di sekolah. SMAN 1 Painan menghadapi kendala dalam proses seleksi yang masih dilakukan secara manual, sehingga memerlukan waktu lama, kurang akurat, dan berpotensi menimbulkan subjektivitas. Penelitian ini bertujuan merancang Sistem Pendukung Keputusan (SPK) untuk membantu proses seleksi penerimaan siswa baru menggunakan metode Simple Additive Weighting (SAW). Metode SAW dipilih karena mampu melakukan penilaian multi-kriteria secara sederhana, cepat, dan objektif melalui proses pembobotan dan perangkingan alternatif. Sistem dikembangkan menggunakan metode prototype dengan tahapan komunikasi, perencanaan, desain, konstruksi, serta evaluasi. Implementasi sistem menggunakan bahasa pemrograman PHP dan database MySQL. Kriteria yang digunakan meliputi nilai akademik, prestasi, organisasi, dan hafalan Al-Qur’an. Hasil penelitian menunjukkan bahwa sistem mampu memberikan rekomendasi siswa secara lebih cepat, akurat, dan transparan dibandingkan metode manual. Dengan demikian, sistem ini dapat membantu pihak sekolah dalam pengambilan keputusan yang lebih efektif serta meminimalisir kesalahan dalam proses seleksi penerimaan siswa baru.
Enhancing Computational Thinking Through Case-Based Object-Oriented Programming: A Study Among Informatics Students Rahmadona Safitri; Hansi Efendi; Resmi Darni; Waskito Waskito; Denny Kurniadi
Jurnal Ilmiah Pendidikan Profesi Guru Vol. 8 No. 3 (2025): November
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jippg.v8i3.105487

Abstract

The teaching of Object-Oriented Programming (OOP) in undergraduate informatics programs often remains procedural in nature and provides limited opportunities for developing computational thinking and real-world problem-solving skills. This condition contributes to a mismatch between graduates’ competencies and industry demands in the era of Industrial Revolution 5.0. This study aims to evaluate the effectiveness of a Case-Based Object-Oriented Programming approach integrated with Computational Thinking Skills (CTS) in improving students’ learning outcomes and problem-solving abilities. Employing a quasi-experimental one-group pretest–posttest design, the study involved 20 fifth-semester Informatics Engineering students enrolled in an Object-Oriented Programming course at a private university in Indonesia, selected through purposive sampling. Data were collected using a written CTS test, a performance rubric for real-world case projects, and scores from the Midterm and Final Examinations. Data analysis included the Shapiro–Wilk normality test, Wilcoxon Signed Rank Test to compare pretest and posttest scores, and Spearman’s Rho correlation to examine relationships among variables. The findings indicate a significant improvement in OOP learning outcomes between the midterm and final examinations, alongside a very strong correlation between CTS components and learning performance, with abstraction and decomposition contributing the most. The study concludes that integrating CTS within case-based OOP instruction is effective in enhancing students’ computational thinking and academic achievement. The results highlight the need for instructors to adopt case-based pedagogical approaches and CTS-oriented assessment instruments to better prepare students for the challenges of Industry 5.0.
Dominasi Computational Thinking atas Motivasi dalam Kemampuan Pemrograman C Siswa SMA Yusuffa, Alfajar; Marta , Riskayeni; Delianti, Vera Irma; Darni, Resmi
Journal of Authentic Research Vol. 5 No. 3 (2026): August
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jar.v5i3.6173

Abstract

Kemampuan pemrograman tidak hanya ditentukan oleh penguasaan sintaks, tetapi juga oleh cara siswa memformulasikan masalah dan mempertahankan usaha ketika menghadapi kesalahan program. Penelitian ini bertujuan menguji kontribusi computational thinking skill dan motivasi belajar terhadap kemampuan pemrograman Bahasa C siswa SMA, sekaligus mengidentifikasi prediktor yang benar-benar dominan. Penelitian menggunakan desain kuantitatif korelasional ex post facto pada 138 siswa kelas XI SMA Negeri 1 Kubung yang dipilih secara proportionate stratified random sampling dari populasi 203 siswa. Computational thinking diukur dengan 13 soal objektif, motivasi dengan 22 pernyataan skala Likert, dan kemampuan pemrograman dengan 18 soal objektif; koefisien reliabilitas masing-masing sebesar 0,884, 0,852, dan 0,897. Hasil menunjukkan computational thinking berkorelasi sangat kuat dengan kemampuan pemrograman (r = 0,910; p < 0,001; R² = 0,829), sedangkan motivasi belajar tidak berkorelasi signifikan (r = -0,107; p = 0,210). Model simultan signifikan, F(2,135) = 331,81; p < 0,001, dengan R² = 0,831, tetapi penambahan motivasi hanya meningkatkan daya jelas model sebesar 0,2% (ΔR² = 0,002) dan koefisiennya tetap tidak signifikan (β = -0,044; p = 0,212). Kebaruan penelitian terletak pada bukti bahwa signifikansi model gabungan hampir sepenuhnya digerakkan oleh computational thinking, bukan motivasi. Temuan ini menegaskan perlunya pembelajaran Bahasa C yang memprioritaskan dekomposisi, pengenalan pola, abstraksi, perancangan algoritma, tracing, dan debugging, tanpa menafsirkan motivasi sebagai penyebab langsung capaian pemrograman. Programming ability depends not only on syntax mastery but also on how students formulate problems and sustain effort when code fails. This study examined the contributions of computational thinking skills and learning motivation to high school students’ C programming ability and identified the genuinely dominant predictor. A quantitative ex post facto correlational design involved 138 eleventh-grade students from SMA Negeri 1 Kubung, proportionally stratified and randomly selected from a population of 203. Computational thinking was measured using 13 objective items, motivation using 22 Likert statements, and programming ability using 18 objective items; reliability coefficients were 0.884, 0.852, and 0.897, respectively. Computational thinking showed a very strong correlation with programming ability (r = 0.910, p < 0.001, R² = 0.829), whereas learning motivation was not significantly related (r = -0.107, p = 0.210). The simultaneous model was significant, F(2,135) = 331.81, p < 0.001, with R² = 0.831; however, adding motivation increased explained variance by only 0.2% (ΔR² = 0.002), and its coefficient remained nonsignificant (β = -0.044, p = 0.212). The study’s novelty is evidence that the significant joint model was driven almost entirely by computational thinking rather than motivation. C programming instruction should therefore prioritize decomposition, pattern recognition, abstraction, algorithm design, tracing, and debugging while avoiding causal interpretations from correlational data.    
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS AUGMENTED REALITY PADA MATA PELAJARAN PERENCANAAN DAN PENGALAMATAN JARINGAN DI SMK MUHAMMADIYAH 1 PADANG Marbun, Aisyah; Darni, Resmi; Marta, Rizkayeni; Huda, Yasdinul
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.58853

Abstract

This study was motivated by students’ limited understanding of network topology material due to the continued use of conventional learning media, such as textbooks, PowerPoint presentations, and lecture-based methods that lack interactivity. Additionally, the use of educational technology to present material in a visual and engaging manner has not yet been optimized. This study aims to develop valid, practical, and effective Augmented Reality (AR)-based interactive learning media using the Assemblr Edu platform for Network Topology material. The method used is Research and Development (R&D) based on the ADDIE model, which includes Analyze, Design, Development, Implementation, and Evaluation. Data were collected through observations, interviews, questionnaires, and tests. The results of the media validation by three validators yielded scores of 4.76, 4.80, and 4.70, categorized as “Highly Valid,” while the content validation yielded scores of 4.91, 4.82, and 4.82, also categorized as “Highly Valid”. The practicality test results showed a score of 4.73, categorized as “Highly Practical,” while the effectiveness test yielded an N-Gain value of 0.87 (87%), categorized as “Highly Effective”. Based on these results, the Augmented Reality based learning media developed has been proven to be valid, practical, and effective, making it suitable for use in enhancing students’ understanding of network topology material.
PENGEMBANGAN SISTEM DONASI BARANG BEKAS ONLINE BERBASIS WEB MENGGUNAKAN FRAMEWORK LARAVEL Novriyanda, Reyhan; Novaliendry, Dony; Farell, Geovanne; Darni, Resmi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 No. 03, September 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.59883

Abstract

The advancement of information technology has encouraged the digital transformation of various social activities, including the management of used goods donations. However, the donation process is still commonly carried out manually, resulting in difficulties in inventory management, recipient verification, donation distribution, and information transparency. This study aims to develop a web-based used goods donation information system using the Laravel Framework. The system was developed using the Prototype method, which consists of the stages of listening to customer needs, building or revising prototypes, and customer evaluation. The system was implemented using PHP, Laravel Framework, MySQL, Bootstrap, and Visual Studio Code. The developed application involves three main actors, namely administrators, donors, and recipients. The system provides features including donation management, goods categorization, recipient verification, inventory management, donation request management, donor reward points, and profile management. Functional testing indicates that all system features operate according to user requirements. The proposed system is expected to improve the efficiency, transparency, and effectiveness of managing used goods donations while facilitating communication between donors, recipients, and administrators.
Co-Authors Ade Kurniawan Agariadne Dwinggo Samala Ahmaddul Hadi, Ahmaddul Akhiru Ramadhan, Gian alfatakh, Muhamad amin Ambiyar, Ambiyar Amri, Alwi Dwi Ananda, Primayoga Andhika Herayono Anni Faridah Annisa Wahyuni Armina Sari Harahap Asmara, Delvi Asrul Huda Batubara, Qothrun Nada Ma'ruf Bayu Ramadhani Fajri Bebasari, Mardiani Darwin, Widya Dedy Irfan Delsina Faiza Denny Kurniadi Denny Kurniadi Desi Susanti Desy Wulan Dari Dio Alvendri Dol Frialdo Dony Novaliendry Edi Ismanto Efmi Maiyana Efrizon Efrizon Elfi Tasrif Elfina, Eni Elsa Sabrina Eravianti Erdisna Erdisna, Erdisna Erik Rahman Fadhillah Riski Aisyah Nasution Fadhli Ranuharja Fadrian, Yudha Fahlevi, Muhammad Farel FARIDAH Fatmi, Yulia Fitrani Dwina Fitriah, Iin Prima Geovanne Farell Gita Ramadani Putri Hafizatunnisa Hansi Efendi Hansi Effendi Hasan Maksum Hidayati Hidayati Hilda Marliza Hilmi Asri Huda, Asrul Huda, Yasdinul Huriati Putri Ika Parma Dewi Iqbal Taufik Jusmardi Khalilul Afwan Kornelia, Kori Kyranty Putri Zuhroh Lativa Mursyida Lativa Mursyida Legiman Slamet Lenggogeni Lenggogeni Lubis, Miftahhul Hudaiza Asmara Luqyana Najla Mahesi Agni Zaus Marbun, Aisyah Marta , Riskayeni Marta, Rizkayeni Mazlini Adnan Melly Novalia Melri Deswina Merry, Yussie Ater Mhd Arya Dhaifullah Mhd Arya Dhaifullah Minora Longgom Nasution Miranda Miranda Muchamad Subali Noto Muhammad Adri Muhammad Adri MUHAMMAD ANWAR Muriyanto, Annur Wahid Mursyida, Lativa Nabilla Yasmin Nadiyatul Ghina Nadya Annisa Juventina Nanda Sari Siregar Nita Sofia Novriyanda, Reyhan Nur Addina Nur Khairiyah Pipin Sumarni Pratama Benny Herlandi Putri Zuhroh, Kyranty Putri, Adelya Destriana Rachmah Nanda Octhavira Rahmad Alrian Rahmad Darmawan Rahmadona Safitri Rahmy Jasril, Ilmiyati Ramadhani Fajri, Bayu Risda Amini Risfendra, Risfendra Rizkayeni Marta Rizky Ema Wulansari Rizky Ema Wulansari Rizky Nafarel Sidiq Robi Maulana Rudi, Muhamad Saputri, Lita Saputri, Sindi Saragih, Fadhillah Majid Silvia Gina Rahayu Alvi Sintia Okta Rina Sri Rizki Putri Primandari Suherman Suherman Syafrijon Syafrijon Taali, Taali Titi Sri Wahyuni Titin Sriwahyuni Triana Dewi, Olivia Usmeldi Usmeldi Vera Indriani Vera Irma Delianti Vikri Aulia Vitriani Vitrian Wahyu Isnan Wahyu Permana Putra Wahyuni, Annisa Waskito Waskito Waskito Waskito, Waskito Weni Nelmira Weni Nelmira Winda Agustiarmi Yasdinul Huda Yasdinul Huda Yeka Hendriyani Yolanda Idha Fitri Yulia Fatmi Yulyanti Harisman Yusuffa, Alfajar Zulbaidah Zulbaidah