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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal CoreIT JTERA (Jurnal Teknologi Rekayasa) Techno Nusa Mandiri : Journal of Computing and Information Technology PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer ILKOM Jurnal Ilmiah Informatik : Jurnal Ilmu Komputer Journal of Information System, Applied, Management, Accounting and Research Jurnal Tekno Kompak Jurnal Ilmiah Ilmu dan Teknologi Rekayasa ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Bulletin of Information Technology (BIT) Melek IT: Information Technology Journal Indonesian Community Journal CONSEN: Indonesian Journal of Community Services and Engagement Internet of Things and Artificial Intelligence Journal Jurnal Ilmiah Pengabdian Kepada Masyarakat Room of Civil Society Development SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Jurnal Sistem Informasi Galuh Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Komputer dan Teknologi (JUKOMTEK) Sainteks: Jurnal Sain dan Teknik ABDIKOM Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Computer and Technology Engineering: Journal of Mechatronics and Education Journal of Blockchain, Nfts and Metaverse Technology Expert Net: Exploration Journal of Technological Education Trends Advance Sustainable Science, Engineering and Technology (ASSET) Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Room of Civil Social Development Jurnal Sistem Informasi dan Aplikasi
Dwi Vernanda
Politeknik Negeri Subang
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ePasTrad as a Mobile-Based Traditional Market E-Commerce System Rivki Aditiya Maulana; Fadlil Abdul Halim; Dwi Vernanda
Expert Net: Exploration Journal of Technological Education Trends Vol. 1 No. 1 (2024): Edisi Juni
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/expertnet.v1i1.117

Abstract

This research aims to design a mobile-based Traditional Market E-Commerce system and advance MSMEs (Micro, Small and Medium Enterprises), especially in Traditional Markets. The end result of this research is that the Traditional Market can be more advanced and people always shop at Traditional Markets, besides that this research can also empower MSMEs in the area. This research uses the agile method with an approach or software development method that focuses on flexibility, adaptability, and team collaboration. The stages in this research include six stages, namely (1) concept stage (determining the scope), (2) Inception, (3) Iteration or Development (development phase), (4) Release (testing phase), (5) maintenance (maintenance phase) and (6) Retirement (termination phase).   ABSTRAK Penelitian ini bertujuan untuk merancang sistem E-Commerce Pasar Tradisional berbasis mobile dan memajukan UMKM (Usaha Mikro Kecil dan Menengah) khususnya pada Pasar Tradisional. Hasil akhir dari penelitian ini adalah agar Pasar Tradisional dapat lebih maju dan para masyarakat senantiasa berbelanja di Pasar Tradisional, selain itu penelitian ini juga dapat memberdayakan UMKM yang ada di daerah tersebut. Penelitian ini menggunakan metode agile dengan sebuah pendekatan atau metode pengembangan software yang berfokus pada fleksibilitas, adaptabilitas, dan kolaborasi tim. Tahapan dalam penelitian ini meliputi enam tahapan, yaitu (1) tahap concept (menentukan ruanglingkup), (2) Inception, (3) Iteration atau Development (fase pengembangan), (4) Release (fase pengujian), (5) maintenance (fase pemeliharaan) dan (6) Retirement (fase penghentian).
Blockchain-Based Diploma Authentication System: A Design Science Approach Using Smart Contracts and Ganache Haryati, Haryati; Vernanda, Dwi
ILKOM Jurnal Ilmiah Vol 18, No 1 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i1.3224.69-84

Abstract

Academic credential fraud poses a critical challenge to Indonesian higher education, with approximately 30% of job applicants providing false academic qualifications while conventional verification processes require 2–4 weeks with significant administrative costs. This research addresses the gap where 77% of blockchain education research remains conceptual by proposing and evaluating a four-layer blockchain system architecture for academic diploma authentication. Using Design Science Research Methodology (DSRM), the study designs and implements a layered architecture comprising a Presentation Layer (React 18.2.0 with client-side SHA-256 hashing), Application Layer (Node.js 18.20.8 with Web3.js), Data Layer (PostgreSQL 14.5 for off-chain metadata), and Blockchain Layer (DiplomaValidator smart contract in Solidity 0.8.19 on Ganache 2.7.1). The architectural design enforces separation of concerns, enabling tamper-evident credential storage through immutable on-chain hash registration and trustless public verification through zero-gas view functions. Comprehensive evaluation through 38 functional tests, performance benchmarking, security auditing, and integration testing demonstrates 100% pass rate across all categories. Performance metrics show registration in 15.23 ms (240,082 gas units) and verification in 9.47 ms at zero gas cost, achieving 51.81 TPS throughput. Security audit yields 95/100 with zero high or medium vulnerabilities. The primary contribution of this research is a formally documented four-layer blockchain architecture for academic credential authentication validated through DSRM providing a replicable architectural model and quantified performance baselines for the Computer Science community and Indonesian higher education institutions considering blockchain adoption
Evaluation of Learning Management System for Users with Accessibility Needs Using Extended Technology Acceptance Model (E-TAM) Zatin Niqotaini; Henki Bayu Seta; Theresiawati; Dwi Vernanda; Artika Arista; Muhammad ibrahim Al Farisi; Rapolo Joshua Napitupulu
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2495

Abstract

Inclusive education aims to provide equal learning opportunities for students with special needs, including the use of a Learning Management System (LMS). The urgency of this research stems from the significant challenges in LMS accessibility, which pose major obstacles for students with disabilities. These challenges include difficult navigation, a lack of screen reader features, and unfriendly interface design. The objectives of the research are to identify and evaluate the factors of LMS acceptance by students with disabilities and provide recommendations. The method uses the Extended Technology Acceptance Model (E-TAM) to identify factors influencing the acceptance of LMS by students with disabilities, such as perceived usefulness, perceived ease of use, and external factors. The findings indicate that System Quality (SQ) has no significant influence on Attitude Toward Using (AT), with the estimated effect size being 1.4%. As an implication, the institutions need to provide easy-to-follow guides to help users with disabilities.
Attention-Based Multi-View Fusion YOLO for Non-Destructive Pineapple Sweetness Assessment Dwi Vernanda; Tri Herdiawan Apandi; Aisyah Suhailla Binti Jili; Desy Triastuti; Willy Muhammad Fauzi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7382

Abstract

Classifying the sweetness level of pineapples is an important part of quality control, but existing methods still face issues of subjectivity and require destructive testing. Manual assessment is often inconsistent, while refractometer measurements require cutting the fruit open. Single-view computer vision offers a non-destructive alternative, yet its performance remains limited because visual cues related to sweetness appear on different sides of the fruit. This study introduces Multi-View Fusion YOLO (MVF-YOLO), a model that combines five viewpoints (full, front, left, right, and back) through an attention mechanism to perform adaptive sweetness classification. The dataset consists of 570 pineapples with TSS/TA ratios as the ground truth, producing 2,850 images grouped into three categories: sour (TSS/TA 10–20), ideal (TSS/TA 20–30), and very sweet (TSS/TA >30). MVF-YOLO achieved an mAP@0.5 of 82.1% and an overall accuracy of 84.2%, outperforming the single-view baseline by 14.3%. Attention weight analysis indicates that the full view contributes the most (0.267). With an inference time of 45.8 ms per fruit, the model is sufficiently efficient for use by farmers, distributors, and consumers. The results demonstrate that a multiview approach enhanced with learned attention can significantly improve sweetness classification accuracy without compromising computational efficiency.
EVALUASI KINERJA MODEL YOLOv11 UNTUK KLASIFIKASI TINGKAT KEMANISAN BUAH NANAS Willy Muhammad Fauzi; Dwi Vernanda; Tri Herdiawan Apandi
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.734

Abstract

Sweetness is one of the main determinants of pineapple quality, yet its conventional measurement through the TSS/TA ratio requires cutting the fruit open, making it unsuitable for non-destructive, large-scale sorting. Prior work by our group has explored non-destructive classification approaches, including a multi-view attention-based fusion model. As part of the iterative model development process toward that solution, this paper reports and analyzes the performance of a simpler baseline: a single-view YOLO object detection model trained directly to localize and classify pineapples into three sweetness categories-Asam (sour), Manis Ideal (ideal), and Sangat Manis (very sweet)-from a single RGB image per fruit. The model was trained for 50 epochs and evaluated using standard object detection metrics. The baseline achieved an overall mAP@0.5 of 0.555 and mAP@0.5:0.95 of 0.460, with the best F1-score of 0.58 reached at a confidence threshold of 0.183. Per-class analysis shows that the Asam category was the easiest to detect (mAP@0.5 = 0.695), while Manis Ideal (0.505) and Sangat Manis (0.465) were considerably weaker. Confusion matrix analysis at the default confidence threshold reveals that only 32-64% of ground-truth instances per class were correctly classified, notably lower than the recall trend suggested during training, and that the Sangat Manis class-the smallest in the dataset-was most frequently confused with its visual neighbor, Manis Ideal. These findings indicate that a single viewpoint, without any imbalance handling, is not yet sufficient to reliably separate boundary categories, providing empirical grounds for the multi-view and attention-based refinements explored in the continuation of this research.
Perancangan Sistem Penyewaan Sepeda Listrik Berbasis Mobile dengan Pendekatan UML Zatin Niqotaini; Dwi Vernanda; Henki Bayu Seta; Yanti Andriyani
Informatik : Jurnal Ilmu Komputer Vol 21 No 3 (2025): December 2025
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v21i3.11815

Abstract

Innovation in transportation, such as online transportation booking applications and electric vehicles are phenomena caused by the development of information technology. But, the likes of traffic safety and complex transportation system integration are some obstacles that still need to be addressed. This research aims to design a Mobile-Based Electric Bicycle Rental System using Unified Modeling Language (UML) in order to increase efficiency and convenience. A Qualitative Research Method is used to analyze the Business Process. The System Analysis stage involves identification, determining requirements, and systematic study to ensure design compliance or suitability. The System Designing stage covers creating structured UML Model, Database Design, determining Table Structure, and developing a User Interface. This study’s result presents a comprehensive design of the Electric Bicycle Rental System, reflected by well-structured UML Diagrams, efficient Database Design and an intuitive User Interface. This System is expected to be an innovative solution to conquer efficiency and convenience hurdles in renting an Electric Bicycle.
Pembuatan Sistem Informasi Pemesanan Toko Bunga Dan Buket (Florist) Berbasis Website Nashalu Aprilianti; Rachmad Augy; Dwi Vernanda
Jurnal Sistem Informasi dan Aplikasi (JSIA) Vol 4 No 1 (2026): Maret: Sistem Informasi
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/jsia.v4i1.12394

Abstract

Along with today's developments, especially generation Z who like to give gifts in the form of flower bouquets and so on, making the sale of flower bouquets experience significant development along with technological advances. To support this business, we design and build a website-based flower bouquet sales application. Users of this website-based application allow users to view the collection of bouquets and flowers available in the application, choose the collection of flower bouquets and the type of bouquet they want, and can make purchases online. Flower bouquets can also be customized to the customer's preferences and desires. The system development method used in designing or creating the web uses the agile deveploment method because the development process is carried out gradually and can adapt to changing user needs. The results of creating an information system are expected to be beneficial to owners, including managing customer data in an easier and more efficient way, data storage can save space, making it easier to search for data during data repair and recap, order status monitoring, and sales reports.
SweetPine: Sistem Pemesanan Produk Olahan Nanas berbasis Website untuk Optimalisasi Layanan Penjualan Putri Ameylia; Kevin Mahendra Yohanes Respati; Ananda Marcella; Dwi Vernanda
Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Vol. 4 No. 1 (2026): Edisi Februari
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/inventor.v4i1.3772

Abstract

Perkembangan teknologi informasi mendorong pelaku usaha mikro, kecil, dan menengah (UMKM) untuk beradaptasi dengan sistem pelayanan berbasis digital. Latar belakang masalah dari penelitian ini adalah proses pemesanan produk olahan nanas pada UMKM yang masih dilakukan secara manual, berpotensi menimbulkan keterlambatan, kesalahan pencatatan, dan keterbatasan akses bagi konsumen. Tujuan penelitian ini adalah merancang dan mengembangkan SweetPine, sebuah sistem pemesanan produk olahan nanas berbasis website yang ditujukan untuk mengoptimalkan proses pemesanan serta meningkatkan kualitas layanan. Metode penelitian yang digunakan adalah Agile dengan tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan evaluasi. Sistem dikembangkan menggunakan bahasa pemrograman PHP dan basis data MySQL, serta dilengkapi fitur katalog produk, pemesanan online, dan laporan otomatis. Hasil pengujian menunjukkan bahwa SweetPine mampu mempercepat proses pemesanan, meningkatkan akurasi data, dan memberikan pengalaman pengguna yang lebih efisien. Dengan demikian, penerapan sistem ini diharapkan dapat membantu UMKM olahan nanas dalam meningkatkan efektivitas pelayanan serta memperluas jangkauan konsumen secara digital.
Decision Support System for Selecting the Best Cryptocurrency Mining Machine Using the Multifactor Evaluation Process Method Chamdan Mashuri; Bernad J. D. Sitompul; Dwi Vernanda; Nasib Marbun
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.152

Abstract

Cryptocurrency mining is a process carried out using a specialised computer network in order to obtain new crypto assets. The cryptocurrency mining business in today's digital era is increasingly in demand by netizens. Many netizens run cryptocurrency mining businesses to generate new cryptocurrency assets that can be traded on the cryptocurrency market to earn huge profits. In doing cryptocurrency mining itself, it is necessary to be careful in choosing the cryptocurrency mining machine used to get the maximum profit. In this study, researchers proposed the Multifactor Evaluation Process as a decision support system method used to simplify the process of selecting the best cryptocurrency mining machine. The results of this study show that the best cryptocurrency mining machine that is most recommended to use is Cheetah Miner F5I (0.2120), followed by the alternatives iBeLink DSM7T Miner (0.2072), Bitfury RD4 (0.2016), Aladdin T1 16T (0.2016), and Obelisk SC1 Dual (0.1800).
Co-Authors ,, Susilawati Abdul Kholiq Adi Ivani Yusuf Adi Ivani Yusuf Adrian Ramadhan Ganjarrintana Affandi, Tri Herdiawan Agustina, Sintia Bela Aisyah Suhailla Binti Jili Alijoyo, Franciskus Antonius Amelia Ramadhani, Amelia Ananda Marcella Ananda, Tasya Ancela, Mika Anjali, Natasha Resya Aprilia Putri, Zahran Zain Arif Hidayat Artika Arista Asyhari, Mugia Rochmat Aulia Megi, Tria Auliya Zenita Rachman, Annisa Azhis Sholeh Buchori Bagas Putra, Ray Satya Bernad J. D. Sitompul BUDI SETIAWAN Chamdan Mashuri Daniel Happy Putra Desy Triastuti Diana Aqidatun Nisa Faadiyah Cheryl Rachelia Faadiyah Cheryl Rachelia Fadlil Abdul Halim Fahry Maulana, Muhammad Fatimah Az-Zahra Fawziah, Nasywa Fazkal M Akbar Firmansyah, Fachri Fitriawati Fitriawati Ganjarrintana, Adrian Ramadhan Gumelar, Mikal Raya Gusnanda Hana Hanifah, Hana Hanan, Ardian abdul Haryati Haryati Haryati Haryati Hasbillah Helfira Lustiana Hendriawan, Tri Henki Bayu Seta Herdiawan, Tri Hilal Iqbal A Hilda Nur Febriliani Kevin Mahendra Yohanes Respati Kurniawan, Bagas Laila Fadillah, Cika Lani Nurlani Meidasari, Indah Tri Mika Ancela Moch Rafly Pratama Mohammad Iqbal Mohammad Iqbal Muhammad Ibrahim Al Farisi muhammad rifqi aji pratama Muhammad Taufik Hidayat Mulyani, Trianti Dwi Nashalu Aprilianti Nasib Marbun Niken Tri Desnawati Nindy Irzavika Niqotaini, Zatin Noor, Reza Fazarany Nunu Nugraha Nunu Nugraha Purnawan Nuraeni, Anik Aida NurAfifah, Amirah Nurfitria Khoirunnisa Nurizati, Zahrani Nuryaman, Iqbal Oktaviani, Luluk pohan, Nurul Fauziah Purnawan, Nunu Putri Ameylia Qonita, Octavia Rachmad Augy Rachmawati, Erika Rapolo Joshua Napitupulu Ray Satya Bagas Putra Rian Piarna Rifal Nurpazri, Adifa rikke Rivki Aditiya Maulana Rivki Aditiya Maulana Riyanto, Brilian Adiguna Roby Bayu Maulana Rofiani, Riska Rosalpina, Dini Sari Azhariyah Setiawan, Hepi Sintia Bela Agustina Sisnawati Slamet Rahayu Slamet Rahayu Sugiwa, Agin Susilawati Susilawati Syafiq, Muhammad Muflih Syifa, Syifa Rizkita Ananda Theresiawati Tri Herdiawan Tri Herdiawan A Tri Herdiawan Apandi Tri, Tri Herdiawan Apandi Usep Abdul Rosid Virtalioka, Sheva Wahyuliana, Muthiah Wiati Gusti, Kharisma Wijaya, Masesa Angga Wijaya Willy Muhammad Fauzi Wulan Siti Nurul Yanti Andriyani Yohanes Sinung Nugroho Yudiyanto, Oyok Zainal Abidin Achmad