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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.