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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal of Computer Networks, Architecture and High Performance Computing Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Media Pengabdian Kepada Masyarakat (JM-PKM)
Muhammad Sidik Asyaky
Universitas Siliwangi
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Evaluation of Data Exposure Risks on Unencrypted Application Layer Protocols in RT/RW Net "X" Community Network Using NIST SP 800-86 Framework Reza Febriana; Muhammad Sidik Asyaky
Journal of Computer Networks, Architecture and High Performance Computing Vol. 8 No. 2 (2026): Research Paper April 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v8i2.8014

Abstract

Security vulnerabilities in community-based networks, such as RT/RW Net, remain a critical concern due to the widespread use of unencrypted protocols. This study presents a quantitative evaluation of data exposure risks in application-layer protocols, focusing on HTTP traffic in local community networks. Using a network forensics approach based on the NIST SP 800-86 framework, traffic was captured and analyzed to measure the frequency and magnitude of sensitive data leaks using automated tools for network traffic analysis. The study quantified exposure across four key indicators: user credentials, session tokens, cookies, and personal information. The results indicated a high level of exposure, with analyzed HTTP packets successfully revealing sensitive data in plaintext, including usernames and passwords. Furthermore, statistical analysis of communication patterns identified significant opportunities for eavesdropping and session hijacking due to the lack of encryption standards. This evaluation provides empirical evidence of critical security gaps in RT/RW Net infrastructure and emphasizes the urgent need to transition to encrypted protocols (HTTPS). The findings provide a quantifiable risk assessment that can serve as a basis for implementing mitigation strategies in community-scale network management.
Pelatihan Literasi Digital, Koding, dan Kecerdasan Artifisial untuk Peningkatan Kapasitas Sekolah di Wilayah Kabupaten Tasikmalaya R Reza El Akbar; Wiwin Herwina; Iman Handiman; Muhammad Al Husaini; Hen Hen Lukmana; Siti Pitrianti; Muhammad Sidik Asyaky
Dedikasi Sains dan Teknologi (DST) Vol. 5 No. 2 (2025): Artikel Pengabdian Nopember 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v5i2.7327

Abstract

Transformasi digital menuntut sekolah tanggap terhadap perubahan teknologi pembelajaran. Kegiatan pengabdian ini bertujuan meningkatkan literasi digital, kompetensi koding dasar, dan pemanfaatan kecerdasan artifisial (AI) bagi pendidik dan siswa di Kabupaten Tasikmalaya. Program mencakup asesmen kebutuhan, pelatihan literasi digital, pengenalan koding berbasis Scratch dan metode “unplugged”, serta pemanfaatan AI edukatif (mis. peringkasan, pembuatan bahan ajar, dan penilaian awal). Pendampingan lapangan dan project-based learning (PjBL) digunakan untuk memastikan adopsi di kelas. Luaran meliputi modul pelatihan, video tutorial, prototipe proyek ajar berbasis koding/AI, dan Rencana Tindak Lanjut (RTTL) tiap sekolah. Hasil awal menunjukkan peningkatan kepercayaan diri pendidik dalam mengintegrasikan teknologi, tersusunnya perangkat ajar digital, serta terbentuknya tim inovasi sekolah. Kegiatan ini menegaskan bahwa pendekatan bertahap, adaptif, dan berbasis proyek efektif mendorong adopsi teknologi pada satuan pendidikan dengan keterbatasan fasilitas.
PENERAPAN TEKNOLOGI SMART BREAKER UNTUK MENDUKUNG PENYIRAMAN OTOMATIS BERBASIS IOT DI TAMANHATI FARM Rohmat Gunawan; Nur Widiyasono; Alam Rahmatulloh; Randi Rizal; Indra Permana; Muhammad Sidik Asyaky
Jurnal Media Pengabdian Kepada Masyarakat Vol 5 No 2 (2026): JM-PKM
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/jm-pkm.v5i2.4236

Abstract

Penyiraman tanaman merupakan aktivitas rutin yang membutuhkan pengoperasian pompa secara teratur. Di Tamanhati Farm, proses pengoperasian pompa sebelumnya masih dilakukan secara manual sehingga bergantung pada kehadiran operator dan belum memberikan fleksibilitas pengendalian dari jarak jauh. Kegiatan pengabdian kepada masyarakat ini bertujuan mengenalkan dan menerapkan teknologi smart breaker berbasis Internet of Things (IoT) untuk mendukung pengendalian sistem penyiraman secara lebih praktis dan otomatis. Metode pelaksanaan meliputi persiapan awal, sosialisasi teknologi, workshop penggunaan, pemasangan perangkat, praktik dan uji coba, diskusi, serta evaluasi melalui kuesioner. Smart breaker dihubungkan dengan jaringan Wi-Fi dan dikendalikan menggunakan aplikasi pada smartphone, termasuk fungsi menghidupkan dan mematikan perangkat serta penjadwalan waktu operasional. Hasil kegiatan menunjukkan bahwa teknologi berhasil diterapkan pada jalur listrik pompa dan mitra memperoleh pengalaman langsung dalam pengoperasiannya. Evaluasi terhadap lima indikator menunjukkan rata-rata 66,7 % responden menyatakan Sangat Setuju, 20% menyatakan Setuju, 13,3% menyatakan Netral,  tanpa adanya respons Tidak Setuju, maupun Sangat Tidak Setuju. Hasil tersebut menunjukkan penerimaan positif terhadap kegiatan dan teknologi yang diperkenalkan sebagai pendukung digitalisasi pengelolaan penyiraman di Tamanhati Farm.
Penerapan Transfer Learning dan Explainable AI untuk Pengenalan Tokoh Wayang Berbasis Web Muhammad Al-Husaini; Hen Hen Lukmana; Muhammad Sidik Asyaky; Ichsan Fauzi Rachman
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No2.pp983-990

Abstract

Recognizing wayang characters remains difficult because many classes share similar visual traits, capture conditions vary, and labeled data is scarce. This study develops a web-based wayang character recognition system that combines transfer learning with visual explanation for classroom use. Two lightweight backbones, EfficientNetV2-S and DeiT-Tiny, were fine-tuned on ten characters using horizontal flipping, RandAugment, and TrivialAugment, then evaluated through five-fold stratified cross-validation. Performance was measured using accuracy, macro-F1, and the Matthews Correlation Coefficient. EfficientNetV2-S reached a mean accuracy of 86.8%, a macro-F1 of 0.87, and an MCC of 0.85, slightly above DeiT-Tiny at 86.0%, 0.86, and 0.83. Confusion analysis identified recurring errors between visually similar pairs such as Nakula-Sadewa and Gareng-Petruk. Grad-CAM overlays were integrated into a Streamlit interface so that every prediction carries visual evidence that non-experts can inspect. Median inference latency on a mid-range CPU was 28 ms for EfficientNetV2-S and 32 ms for DeiT-Tiny, fast enough for interactive use. The system shows that accuracy, speed, and interpretability can be balanced within the constraints of cultural heritage datasets.
Co-Authors Alam Rahmatulloh Gunawan, Rohmat Hen Hen Lukmana Ichsan Fauzi Rachman Iman Handiman Indra Permana Muhammad Al Husaini Nur Widiyasono R Reza El Akbar Reza Febriana Rizal, Randi Siti Pitrianti Wiwin Herwina