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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Infomedia INTECOMS: Journal of Information Technology and Computer Science Prosiding National Conference for Community Service Project Narada : Jurnal Desain dan Seni Jurnal Teknimedia: Teknologi Informasi dan Multimedia Journal of Applied Data Sciences Telcomatics Journal of Information System and Technology (JOINT) Journal of General Education and Humanities Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Community Engagement Project (Concept) Conference on Business, Social Sciences and Technology (CoNeScINTech) Jurnal Desain
Deli Deli
Universitas Internasional Batam
Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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The Influence of 3D Animation Videos on 2D Video Projections in IT Learning Among Students in Batam City Jimmy Pratama; Zoey Julyance; Deli Deli
Jurnal Infomedia: Teknik Informatika, Multimedia, dan Jaringan Vol 10, No 2 (2025): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jim.v10i2.7341

Abstract

Penelitian ini mengkaji pengaruh penggunaan video animasi 2D dan 3D terhadap pemahaman dan minat belajar mahasiswa dalam pembelajaran IT, khususnya pada mahasiswa non-IT di Kota Batam. Video animasi dikembangkan menggunakan model Multimedia Development Life Cycle (MDLC), menghasilkan dua media pembelajaran yang berisi materi pengenalan perangkat keras dan lunak komputer dalam format 2D dan 3D. Penelitian ini menggunakan metode deskriptif kualitatif dengan melibatkan 20 mahasiswa yang dipilih secara purposive, yaitu mereka yang tidak memiliki latar belakang pendidikan formal di bidang IT. Responden diminta menilai lima aspek utama, yaitu pemahaman terhadap materi, ketertarikan, sinkronisasi audio-visual, kualitas visual, serta keakuratan informasi yang disampaikan. Hasil menunjukkan bahwa 57,14% responden lebih menyukai animasi 3D karena visualisasi yang imersif dan realistis, sedangkan 42,86% lebih memilih animasi 2D karena tampilannya yang sederhana dan mudah dipahami. Sebanyak 95% responden menilai narasi, musik, dan suara telah sinkron dengan tampilan visual. Sebanyak 85% menilai kualitas visual baik, dan 90% menganggap isi informasi yang disampaikan jelas, akurat, dan dapat dipercaya. Temuan ini menunjukkan bahwa animasi 2D dan 3D sama-sama efektif sebagai media pembelajaran visual, namun animasi 3D memberikan keunggulan lebih dalam meningkatkan keterlibatan dan pemahaman mahasiswa. Oleh karena itu, animasi 3D layak dipertimbangkan dalam pengembangan konten pembelajaran interaktif ke depan.Kata Kunci : animasi 2D; animasi 3D; MDLC; pembelajaran multimedia; pembelajaran IT
Yolov12N: Implementation and Measuring an Ingredient-Detection Recipe App for Household Food-Waste Reduction Suwarno Suwarno; Jackson Jackson; Deli Deli
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16494

Abstract

Household food waste remains pervasive, driven by suboptimal meal planning and the underuse of available ingredients, with particularly acute impacts in Indonesia. This study presents a mobile application using YOLOv12n for multi-ingredient detection that translates recognized items into actionable recipes, and it evaluates user acceptance through the Technology Acceptance Model. On this implementation, the detection module attains mAP at 0.5 of 0.579 and mAP from 0.5 to 0.95 of 0.331. This study implements a Flutter application with YOLOv12n multi-ingredient detection integrated with TheMealDB and observes 219 users. The instrument validity is established and reliability is strong. While, Structural Equation Modelling supports 3 hypotheses, meanwhile Perceived Usefulness to Behavior Intention is not significant, indicating an indirect pathway via attitude. In conclusion, the solution is feasible for daily use, and strengthening perceived usefulness and ease of use appears to be a promising route to increase adoption and help reduce household waste.
Nutritionally Balanced Menu Optimization for a Healthy Lifestyle using Integer Linear Programming Suwarno Suwarno; Anderson Arvando; Davina Davina; Brain Gantoro; Hendi Sama; Deli Deli
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1141

Abstract

Unhealthy dietary patterns and limited access to personalized nutrition guidance contribute significantly to chronic diseases such as diabetes. These issues highlight the need for a reliable, data-driven approach capable of generating individualized dietary recommendations aligned with nutritional standards. This study aims to develop an Integer Linear Programming (ILP) approach integrated with nutritional datasets to generate personalized and nutritionally balanced meal plans. The goal is to determine whether ILP can effectively balance calorie and macronutrient distribution according to user-specific health profiles while ensuring compliance with dietary guidelines and disease-related restrictions. This study applied an ILP-based optimization framework to calculate total daily energy expenditure and macronutrient ratios, incorporating disease-specific constraints and balanced food distributions across meals. Using 244 standardized food items from clinical dietary data, the model’s performance was validated through comparisons with three AI models (ChatGPT, Gemini, DeepSeek) and a certified medical expert across three evaluation rounds. All AI models indicated that the generated meal plans adhered to macronutrient balance and health-specific requirements. Expert validation produced a mean score of 4.85 out of 5 on a Likert scale, reflecting strong agreement regarding the system’s nutritional adequacy, practicality, and safety. These outcomes confirm the ILP framework’s capability to produce balanced, individualized, and clinically sound meal plans. results demonstrate that ILP-based optimization can effectively generate scientifically sound and practical dietary recommendations, meeting both nutritional standards and user-specific needs. The findings highlight ILP’s potential as a computational decision-support tool that complements professional nutrition guidance. Future work should enhance the objective function by adding parameters that model individual preferences, allergy limitations, and cultural dietary norms, and should incorporate extensive clinical datasets to support adaptive recommendation mechanisms that consider chrononutrition, nutritional adequacy, and preparation methods, along with expert-driven adjustments to portion sizes and meal timing for more tailored dietary guidance.
Perancangan buku foto bertema pembangunan berkelanjutan sebagai media komunikasi visual generasi Z di kota Batam Deli Deli; Zaspin Zaspin; Fellyanto Fellyanto; Vallen Angellito; Bayu Syahputra; Tony Wibowo
Jurnal Desain Vol. 14 No. 1 (2026): Jurnal Desain
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jd.v14i1.4560

Abstract

Penyebaran informasi mengenai Sustainable Development Goals (SDGs) merupakan salah satu upaya untuk meningkatkan pemahaman masyarakat terhadap isu pembangunan berkelanjutan. Penelitian ini bertujuan mengembangkan buku foto sebagai media penyampaian informasi SDGs bagi Generasi Z di Kota Batam serta menggali persepsi pengguna terhadap penerapan elemen-elemen komunikasi visual dalam media yang dikembangkan. Penelitian menggunakan metode Research and Development (R&D) dengan model Four-D (4D) yang terdiri atas tahap Define, Design, Develop, dan Disseminate. Produk yang dikembangkan berupa buku foto berjudul Photography for Change yang memuat representasi isu pembangunan berkelanjutan melalui kondisi lingkungan dan kehidupan masyarakat di Kota Batam. Kelayakan produk dievaluasi melalui validasi oleh dua ahli media, sedangkan persepsi pengguna diperoleh melalui wawancara terhadap 30 responden Generasi Z di Kota Batam. Hasil validasi menunjukkan persentase kelayakan sebesar 93,75% dengan kategori sangat layak, sedangkan hasil wawancara menunjukkan bahwa responden mempersepsikan keterpaduan fotografi, narasi visual, tipografi, dan tata letak dapat mendukung penyampaian informasi SDGs. Teknik fotografi, seperti komposisi, sudut pengambilan gambar, pencahayaan, dan pengolahan warna, dinilai berperan dalam membangun narasi visual dan memberikan konteks yang lebih konkret. Tipografi dan tata letak dinilai mendukung keterbacaan serta membantu responden mengikuti alur informasi, sedangkan penggunaan konteks lokal Kota Batam membuat informasi SDGs dipandang lebih dekat dan relevan dengan pengalaman sehari-hari. Temuan penelitian menunjukkan bahwa buku foto dapat menjadi alternatif media penyampaian informasi pembangunan berkelanjutan yang memadukan fotografi dan elemen desain komunikasi visual dengan konteks lokal bagi Generasi Z di Kota Batam.
Co-Authors Amelia Putri Anderson Arvando Andi Andi Anly Suryadana Ari Firmansah Brain Gantoro Calvin Phodickson Celine Te Christine Christine Christine Gabriella Cindy Ariadi Daniel Adventus Darren Darren Davina Davina Diny Anggriani Adnas Donny Zhang Eko Prastius Erlina Erlina Fellyanto Fellyanto Hanif Permadi Diny Helen Helen Hendra Wijaya Hendro Hendro Hendy Hendy Hendy Henrik Henrik Hery Yanto Inezhya Mayang Kirana Putri Sofiandi Iskandi Candra Jackson Jackson Jeffri Liu Jenny Oei Jeslin Jeslin Jhon Carlie Jose Armando Li Cen Lip Son Melvin Nicholas Armansyah Philander Alvando Davian Pratama, Jimmy Richie Marlon Ricky Fernando Rino Rino Sabariman Sabariman Sama, Hendi Shelomitha Diah Revi Ayuni Stephanie Lim Sun Bhuan Suryanto Suryanto Suwarno Liang Syahputra, Bayu Tony Wirawan Vallen Angellito Vallen Angellito Veri Hartanto Vicky Tantri Vivian Febri Ningsih Vivian Lim Welson Welson Wibowo, Tony Widya Risma Ilahi Wikandriya Pradinang William William Winna Winna Wiwie Sanjaya Yongki Wijaya Zaspin Zaspin Zoey Julyance