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All Journal Jurnal Simetris Bulletin of Electrical Engineering and Informatics SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sisfokom (Sistem Informasi dan Komputer) ILKOM Jurnal Ilmiah Informatik : Jurnal Ilmu Komputer Jurnal Telematika Jurnal Mantik SULUH: Jurnal Abdimas Computer Science and Information Technologies Jurnal Abdimas Bina Bangsa International Journal of Basic and Applied Science Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT ABDIKOM
Ridwan Raafi'udin
Universitas Pembangunan Nasional Veteran Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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Analisa Trafik Pengunjung Website dalam Pengembangan UI dan UX Ridwan Raafi'udin; Bayu Hananto; Catur Nugrahaeni Puspita Dewi
Informatik : Jurnal Ilmu Komputer Vol 15 No 2 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.248 KB) | DOI: 10.52958/iftk.v15i2.1419

Abstract

Perkembangan teknologi informasi dan komunikasi menggiring para pengguna untuk selalu memutakhirkan penerapan teknologinya. Hampir di setiap lapisan masyarakat baik di kalangan industri dalam persaingan bisnisnya maupun di bidang pendidikan untuk meningkatkan layanan pendidikan yang semakin baik. Website portal menjadi salah satu kewajiban yang harus dimiliki oleh universitas dalam rangka penyediaan layanan informasi kepada khalayak umum, yang memerlukan informasi. Dalam rangka peningkatan pelayanan informasi kepada khayalak tersebut diperlukan peningkatan dari berbagai aspek, seperti kecepatan akses, user interface, dan user experience. Pada penelitian ini, peneliti akan mencoba meningkatkan user experience pada website portal yang dimiliki Universitas Pembangunan Nasional Veteran Jakarta. Dengan peningkatan tersebut diharapkan akan meningkatkan kepuasan khayalak terhadap pemenuhan kebutuhan informasi yang bersumber dari kampus UPN Veteran Jakarta.
Peningkatan Literasi Digital Siswa Melalui Pelatihan Desain Poster Mading Menggunakan Canva di Madrasah Ibtidaiyah Jamiatul Khair Tangerang Fajar Rahayu; Andhika Octa Indarso; Noor Falih; Ridwan Raafi'udin; Sri Mulyantini
Jurnal Pengabdian kepada Masyarakat Bidang Ilmu Komputer Vol 4 No 1 (2025): Jurnal Pengabdian Kepada Masyarakat Bidang Ilmu Komputer (ABDIKOM)
Publisher : Universitas Pembangunan Nasional "Veteran" Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/abdikom.v4i1.13836

Abstract

The rapid development of digital technology necessitates the enhancement of digital literacy from an early age, including the effective use of digital media as a tool for learning and information communication. This community service activity aimed to improve the digital literacy of students at Jami’atul Khair Islamic Elementary School, Tangerang, through wall magazine poster design training using the Canva application. The implementation method comprised needs identification, delivery of basic design theory and an introduction to Canva, application usage demonstrations, independent practice, and activity evaluation. The evaluation was conducted using questionnaires to assess participants’ levels of understanding, perceptions of the instructional methods, and the benefits of the activity. The results indicated that the majority of participants responded positively to both the training materials and the implementation process, and were able to produce digital wall magazine poster designs that adhered to basic design principles. This activity proved effective in enhancing students’ design skills, creativity, and productive use of digital technology within the school environment. The training is expected to serve as an applicable and sustainable digital literacy activity model for other Islamic elementary school students.
Construction of a Dialect-Sensitive Javanese Semantic Lexicon to Support Machine Translation Systems Musthofa Galih Pradana; Ridwan Raafi'udin; Nurul Afifah Arifuddin; Mohammad Asaduzzaman Rasel
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13379

Abstract

The development of linguistic resources for natural language processing (NLP) in Javanese remains limited, especially regarding the representation of semantic relationships between different speech levels. This study aims to construct a Javanese semantic lexicon that integrates Indonesian lexical equivalents with three Javanese speech levels: ngoko, krama alus, and krama inggil. A research design based on lexical resource construction was employed, using a Javanese digital dictionary as the primary data source. The methodology included data extraction, preprocessing, semantic lexicon construction, analysis of speech level variation, and a preliminary exploration of polysemous lexical entries using automatic identification, followed by validation by native speakers. The resulting semantic lexicon successfully represents lexical relationships between levels in a structured manner. Analysis of speech-level variation revealed that partially distinct lexical patterns were the most dominant, with 733 entries, followed by fully distinct patterns (193 entries) and identical patterns (21 entries). These findings indicate that speech-level differences in Javanese are selectively realized and should be explicitly considered in the development of linguistic resources. Furthermore, preliminary exploration of polysemous candidates demonstrated that dictionary-based automatic identification can overestimate polysemy without linguistic validation. Only a limited number of lexical entries exhibited features consistent with genuine polysemous relationships. This study provides an initial basis for the development of Javanese semantic resources that are sensitive to speech-level variation and semantic complexity. The constructed semantic lexicon has the potential to support future research in NLP applications in Javanese, including politeness identification, lexical normalization, word sense disambiguation, and machine translation.
Characterization of Network Traffic Features for Intrusion Detection in IoMT Cybersecurity Bayu Hananto; Ridwan Raafi'udin; Didit Widiyanto
Informatik : Jurnal Ilmu Komputer Vol 22 No 2 (2026): August 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i2.12606

Abstract

Network security in the Internet of Medical Things (IoMT) requires intrusion detection that is accurate and interpretable, yet IoMT traffic is often imbalanced and heavy-tailed, complicating feature selection and evaluation. This study characterizes the MedSec-25 dataset and identifies influential network-flow features for stage-aware IoMT intrusion detection. Using 10,000 stratified flows (approximately 40 features), we apply robust descriptive statistics and compare linear relevance (ANOVA F-score) with nonlinear relevance (Mutual Information), supported by correlation auditing and non-parametric testing. The data exhibit strong class imbalance (IR about 10.9:1) and predominantly non-Gaussian distributions. The overlap of ANOVA and MI highlights a compact, interpretable core of temporal and rate/volume indicators, while multivariate interactions help explain why many univariate Kruskal–Wallis tests are non-significant. Based on these findings, we provide a practical IDS design guideline: an auditable pre-filter followed by a nonlinear classifier, assessed with MCC and AUPRC to better reflect minority attack stages. The analysis offers a reproducible foundation for feature-driven IDS development in healthcare IoMT.
Co-Authors Ali Khumaidi Ali Khumaidi ali khumaidi, ali Andhika Octa Indarso Catur Nugrahaeni Puspita Dewi DEWI APRI ASTUTI Didit Widiyanto Edyana, Fajar Fajar Edyana Hananto, Bayu Henki Bayu Seta Imas Sukaesih Sitanggang Indra Permana Solihin Indra Permana Solihin Intan Hesti Indriana Jayanta Jayanta Matondang, Nurhafifah Mohamad Bayu Wibisono Mohammad Asaduzzaman Rasel Muhammad Adrezo Mulyana, Erik Mulyantini, Sri Musthofa Galih Pradana Neny Rosmawarni Noor Falih Nugrahaeni Puspita Dewi, Catur Nurul Afifah Arifuddin Prananto, Muhammad Teguh RAHAYU, FAJAR Ria Maria Theresa Sitanggang, Imas S. Tri Rahayu Triwahyono, Bambang Wirawan, Rio Yohanes Aris Purwanto