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All Journal Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Proceeding SENDI_U Jurnal Informatika Upgris Journal of Information Technology and Computer Science (JOINTECS) INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informasi dan Komputer JURNAL MAHAJANA INFORMASI Jurnal Informatika dan Rekayasa Elektronik Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Sistem Komputer dan Informatika (JSON) Journal of Tropical Ethnobiology Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Pada Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Fundamentum: Jurnal Pengabdian Multidisiplin International Journal of Information Technology and Business Jurnal Informatika Dan Tekonologi Komputer
Widiyanto Tri Handoko
Universitas Stikubank
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Kontruksi Sosial Network Analysis Untuk Menilai Kepopuleran Brand Sepatu di Twitter Prayoga, Setyo Hendro; Handoko, Widiyanto Tri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7046

Abstract

Shoes are one of the most popular products to buy. Therefore, many well-known shoe brands such as Adidas, Converse, New Balance, Nike, Reebok and Skechers are competing to create the latest shoe models. Many shoe brand users share their experiences on the Twitter platform. The aim of this research is to assess the level of popularity of the Adidas, Converse, New Balance, Nike, Reebok, Skechers shoe brands on the Twitter platform. This research will analyze the social network patterns of Twitter users in the period January - March 2023 which discusses the shoe brands Adidas, Converse, New Balance, Nike, Reebok, Skechers and will be analyzed using Social Network Analysis (SNA). SNA is a method that can be used to analyze interactions between individuals that occur on the Twitter platform by looking at network properties. This research will also use the Weighted Aggregated Sum Product Assessment (WASPAS) method which is used to support decision making about which shoe brands are the most popular in the period January – March 2023. The results of this research show that New Balance obtained rank 1 with a value of 0.985172467, Adidas was ranked 2nd with a value of 0.946380309, Nike was ranked 3rd with a value of 0.851347847, Reebok was ranked 4th with a value of 0.83674501, Converse was ranked 5th with a value of 0.831588591, and Skechers was ranked 6th with a value of 0.759538181.
New Design of Encryption with Covertext and Reordering Eka Ardhianto; Widiyanto Tri Handoko; Hari Murti; Rara Sri Artati Redjeki
International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.522023.01-05

Abstract

Documents for some entities are confidential and important, so security is required. Encryption with Covertext and Reordering (ECR) is a text-based document security model. ECR uses a random key to generate the ciphertext. The ECR’s random key is selected using the human-generated method. This research aims to increase the level of document security based on the ECR mechanism. This paper proposes a new method by using a random key in a permutated table. The random key is generated automatically by a function. The entropy is used as a measurement of the security level of the encrypted documents. The experimental shows that the permutated table inside the ECR provides better entropy values. It implies a better security level. The use of permutated tables also makes it easier to use ECR to secure documents.
IMPLEMENTASI CHATBOT TELEGRAM UNTUK ANALISIS NUTRISI DAN DETEKSI KANDUNGAN GIZI PADA MAKANAN CEPAT SAJI Zakiyah, Dellaila Fidha Sallma; Handoko, Widiyanto Tri
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6270

Abstract

Makanan cepat saji, yang praktis tetapi berbahaya bagi kesehatan, meningkat karena perubahan pola konsumsi masyarakat modern, terutama di kota-kota. Fast food memiliki jumlah kalori, lemak jenuh, natrium, dan gula yang tinggi, tetapi sedikit serat dan mikronutrien, yang berkontribusi pada peningkatan obesitas dan penyakit degeneratif. Sayangnya, informasi tentang nutrisi yang terkandung dalam produk makanan cepat saji seringkali tidak tersedia secara lengkap dan mudah dipahami oleh masyarakat umum. Tujuan dari penelitian ini adalah untuk membuat chatbot berbasis Telegram yang dapat mengidentifikasi dan mengevaluasi gizi makanan cepat saji secara real-time. Sistem ini diharapkan dapat meningkatkan literasi gizi dan kesadaran konsumsi melalui integrasi data nutrisi dan teknologi chatbot. Telegram adalah pilihan karena mendukung antarmuka percakapan yang aman, cepat, dan fleksibel. Hasil penelitian menunjukkan bahwa chatbot ini tidak hanya dapat membuat informasi gizi mudah diakses, tetapi juga dapat berfungsi sebagai alat edukatif yang efektif untuk mendorong masyarakat modern untuk menjalani gaya hidup sehat.
Peningkatan Kapasitas Pendamping UMKM dalam Menjaga Kerahasiaan Data Pribadi Klien pada Komunitas Aurum First Sunrise di Surakarta Jawa Tengah Wahyudi, Eko Nur; Handoko, Widiyanto Tri; Lestariningsih, Endang
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): Februari: NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v6i1.7393

Abstract

This community service activity aimed to enhance the security and efficiency of halal certification mentoring services at the Aurum First Sunrise community in Surakarta. The main challenge faced by the partner was the risk of sensitive SME data leakage such as ID cards, recipes, and supply chain information, due to the lack of an adequate document security mechanism. The core solution implemented was Technology Implementation in the form of a Cryptographically-based Document Management Information sistem (utilizing the Light Weight PDAC algorithm) integrated with digital access rights management and user Training. Evaluation demonstrated successful implementation, evidenced by an increase in the average satisfaction of SMEs regarding data security to 97.8%, confirming enhanced trust. Furthermore, digitalization successfully improved the efficiency of the mentoring team, reflected by a satisfaction score of 85.0%. In conclusion, this service successfully transformed the partner into a secure, efficient, and credible mentoring institution, significantly supporting SMEs in accessing halal certification.
Pemodelan Sentimen Komentar YouTube Berbasis Naive Bayes Hari Murti; Rara Sriartati Redjeki; Novita Mariana; Agus Prasetyo Utomo; Widiyanto Tri Handoko
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8767

Abstract

Social Network Analysis (SNA) is a crucial quantitative methodology for mapping relationships and identifying connectivity structures within a group. This research specifically explores the use of the NetworkX library in Python as an effective tool for analyzing social networks. The primary objective of this study is to apply the Degree Centrality method to measure the level of connectivity and identify the most popular actors in a social network. The methodology employed is the quantitative analysis of an undirected graph modeled from the us_edgelist.csv dataset, which contains a list of relationships among political figures in an edge list format. Data processing utilized pandas, and the graph object was constructed using NetworkX. Degree Centrality was calculated for each node, with the results being normalized to provide a relative value. This normalization allows for a direct comparison of how active each actor is within the network. The centrality results were then visualized, with node sizes adjusted based on their Degree Centrality score. The results of the analysis indicate that figures like Bush and Obama possess the highest Degree Centrality score, 0.25, suggesting they have the greatest number of direct connections in this network. This high value confirms their role as the most active or central actors in the exchange and interaction within the political network studied. This finding validates the effectiveness of Degree Centrality as an indicator of high involvement. The study concludes that the implementation of Social Network Analysis using NetworkX provides a robust framework for understanding political relationship structures. Therefore, Degree Centrality is a reliable metric for quantifying actor activity and accurately identifying individuals who form the center of connections within the network.
Analysis of E-Government Implementation in Semarang City Based on Mayor Decree No.50/571 of 2023 on SPBE Architecture Determination Eka Ardhianto; Siti Sholihah Ari Susanti; Heribertus Yulianton; Widiyanto Tri Handoko; Kristiawan Nugroho
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8802

Abstract

This study provides an in-depth analysis of the implementation of e-government in Semarang City, driven by Mayor Decree No.50/571 of 2023 concerning the establishment of the Electronic-Based Government System (SPBE) framework. The research evaluates the alignment of Semarang City's e-government strategies with national regulations, including PerPres No.95/2018 on SPBE, PermenPANRB No.5/2018 on SPBE evaluation criteria, and PerPres No.132/2022 on national SPBE architecture. Employing qualitative methods through literature reviews, interviews, surveys, and observations, this study examines e-government readiness, smart governance, digital service integration, and benchmarking practices. The results highlight significant progress in enhancing public service efficiency and transparency, though challenges such as system interoperability, cybersecurity risks, and public engagement remain. Recommendations include strengthening infrastructure, improving human resource capacity, and fostering citizen involvement for sustainable e-government development.
Co-Authors Agus Prasetyo Utomo Aldri Frinaldi Amin , Imam Husni Al Antoni Yohanes Antono Adhi Bambang T Sudiono Cahyani, Bella Garin Dwi Catur Septiawan, Catur Dedi, Widiarto Dian Kristiawan Nugroho Dwi Agus Diartono DWI SUSILO, ANDI Edy Supriyanto Edy Supriyanto Edy Supriyanto Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih Felix Andreas Sutanto Firman Ardiansyah Ekoanindiyo Fitika Andraini Hari Murti Hari Murti Heribertus Yulianton Hersatoto Listiyono Kartiko Haryanto Mardi Siswo Utomo Muhammad Akbar Anugrah Illahi Muhammad Iqbal Zakasih Muhammad, Adianzah Murti, Hari Nadila, Latifia Novita Mariana Prayoga, Setyo Hendro Purwadi, Dimas Indra R. Soelistijadi Rara Sri Artati Redjeki Rezky Febriani, Rezky Riko Dwi Jaya S.Pd. M Kes I Ketut Sudiana . SATRIA PRAKOSO, DICKY SEFI RENANDO, FARERA Siti Sholihah Ari Susanti Sitorus P, Forlediska Amelia Sutrasno Andre Wibowo* Theresia Dwiati Wismarini Veronica Lusiana Vidya Indanvati Wibowo*, Sutrasno Andre Wismarini, Th Dwiati Y. Purwanto Yohanes Suhari Zakiyah, Dellaila Fidha Sallma Zuly Budiarso