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All Journal Jurnal Mirai Management Jurnal Ilmiah Universitas Batanghari Jambi JRSI (Jurnal Rekayasa Sistem dan Industri) Syntax Literate: Jurnal Ilmiah Indonesia Rang Teknik Journal SEIKO : Journal of Management & Business Jurnal Telematika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) IJIES (International Journal of Innovation in Enterprise System) Journal of Community Empowerment for Health JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pengabdian Masyarakat Indonesia eProceedings of Engineering Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science Jurnal ilmiah teknologi informasi Asia Proceeding of Community Service and Engagement
Ekky Novriza Alam
Fakultas Rekayasa Industri, Universitas Telkom, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementasi Deep Learning Untuk Klasifikasi Produk Grocery dan Deteksi Tanggal Kedaluwarsa Menggunakan Resnet50 dan Easyocr Faza Hanif Suwanda; Ekky Novriza Alam; Riska Yanu Fa'rifah
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 2 (2026): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i2.6571

Abstract

Checking product categories and expiry dates in grocery stores is still largely done manually, making the process error-prone and time-consuming, especially for packaging with small or inconsistently formatted date prints. This research builds a two-stage pipeline that automatically classifies grocery product categories and detects expiry dates from product images. The method consists of an image classification model based on transfer learning with a frozen ResNet50 backbone, trained on three product categories (Fruits, Dairy Products, and Bread), and an expiry-date detection module leveraging the CRAFT text detector built into EasyOCR, combined with regular-expression matching and a tiered OCR fallback mechanism. The classification model was trained on 398 training images and evaluated on 98 validation images, achieving a validation accuracy of 83.67%, well above the 33.3% random-guess baseline for three classes, with the highest F1-score on the Dairy Products category (0.91). Testing of the date-detection pipeline on 63 test images showed a detection precision of 70.0% and an overall valid-date rate of 44.4%, indicating that a pragmatic approach based on a ready-made text detector can function without training a dedicated object detector, although reliability still needs improvement in filtering false-positive date candidates. Evaluation of the integrated system further found that the initial design assumption, that OCR should only run on packaged categories, was not entirely accurate, since the Fruits category showed a higher success rate (83.3%) than the packaged category (40.4%). The main contribution of this research is a pragmatic approach that leverages a ready-made text detector to locate very small date objects without training a dedicated object detector from scratch, allowing the pipeline to be implemented end-to-end under limited data and computing resources.
MAINTENANCE OF WEB APPLICATION BASED ON MODEL–VIEW–CONTROLLER ARCHITECTURE (CASE STUDY: HUMAN RESOURCE ASSESSMENT TOOLS) Dea Rahman Fauzi; Tien Fabrianti Kusumasari; Ekky Novriza Alam
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6409

Abstract

One of the causes of project failure in organizations is the mistake of selecting team members who are not suitable. The Website Assessment Tools Application is a web platform that maps employee roles based on individual competencies from various assessment sources. This application was developed to help organizations allocate human resources effectively based on everyone’s competencies. However, the Website Assessment Tools Application has some shortcomings that hinder its functionality, requiring maintenance or improvements to address issues and add new features. This project will focus on the application's functionality, both front-end and back-end. Maintenance will be conducted using the Collaboration Model of Software Development, which consists of five phases, communication/requirement, planning, modeling, construction, and deployment. The results of the Website Assessment Tools Application maintenance will be tested using the Black Box Testing method. The Black Box Testing results show that all scenarios meet the expected outcomes. These results ensure that the Website Assessment Tools Application functions optimally and is ready for organizational use.
PERANCANGAN DAN IMPLEMENTASI USER INTERFACE APLIKASI REKARUANG PADA MODUL KONSULTASI MENGGUNAKAN METODOLOGI WATERFALL G N Kresna Adiputra; Putra Fajar Alam; Ekky Novriza Alam
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 4 No. 3 (2021): October 2021
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v4i3.658

Abstract

Peran desain interior bukan sekedar dekorasi ruangan melainkan sebagai penghubung antara manusia dengan lingkungannya. Menurut Rahayu tahun 2017 bisnis pada bidang desain interior meningkat sebesar 50%, sehingga bisnis desain interior memiliki peluang yang baik untuk saat ini. Berdasarkan hasil wawancara, dibalik perkembangan desain interior yang meningkat masih terdapat beberapa permasalahan yang terjadi khususnya dalam proses penjualan desain. Oleh karena itu, penelitian ini dilakukan untuk menganalisis permasalahan yang terjadi dan memberikan rancangan solusi yang dapat memiliki nilai bisnis. Penelitian ini berfokus pada Perancangan Dan Implementasi User Interface Pada Aplikasi Rekaruang Berbasis Web Menggunakan Metodologi Waterfall. Perancangan desain aplikasi Rekaruang menggunakan metodologi design thinking yang menghasilkan rancangan desain yang diuji menggunakan usability testing sebelum diimplementasikan ke dalam bentuk kode. Hasil Pengujian menggunakan metode perhitungan SUS yang menghasilkan score 86 untuk desain aplikasi client, dan 79 untuk desain aplikasi sisi desainer, sehingga dapat dinyatakan desain diterima (acceptable) oleh calon pengguna aplikasi Rekaruang. Implementasi interface aplikasi Rekaruang dalam bentuk kode menggunakan metodologi waterfall model yang menghasilkan aplikasi Rekaruang berbasis web. Hasil implementasi diuji menggunakan teknik pengujian white-box testing dengan metode unit testing. Hasil pengujian sesuai dengan ekspektasi yang diharapkan karena sebanyak dua puluh satu test case yang diuji menghasilkan status pengujian sukses.
Co-Authors Achmad Gabriel Glowdy Adyartama, Arya Putra Afif Maliki, Muhammad Nurul Ahmad Faris Hisyam Maulana Ahmad Fauzi Ahmad Musnansyah Al Fatwa, Rizki Andrian Saputra Aqilah , Annisa Risma Aradhana, Muhammad Arvin Ardy Rikardo Asti Amalia Nur Fajrilah Asti Amalia Nur Fajrillah Avinindita Nura Lestari Dea Rahman Fauzi Ekky Chandra Wibowo Emas Dai Ashshiddiiqi Ersa Nur Maulana Evan Reswara Fadilah, Rizky Faishal Mufied Al Anshary Fajar Siddiq Faza Hanif Suwanda Fitriyana Dewi G N Kresna Adiputra Hafizal Arsyad, Muhammad Hilmi, Farhan Ilham Perdana Irawan, Fanny Irfan Darmawan Jayanto, Eriko Putra Karerra, Soya Kusumasari, Tien Febrianti Lubis, Taufiqurrahman Lutfan Lazuardi Muhammad Abizard Al Thareq Muhammad Azani Hasibuan Muhammad Ricky Chandra Dinata Muhammad Ricky Chandra Dinata Muhammad Zikri Muhardi Saputra Najla, Ataya Nia Ambarsari Nuki Pratama Nur Ichsan Utama Nuraliza, Hilda Praditya, Mubeth Prasetia, Farhan Putra Fajar Alam Putra, M Ikhsan Pratama Rachmadita Andreswari Rafi Adinegoro Rahmat Fauzi Resano, Arthur Krisna Reyfal Khaidar Riska Yanu Fa’rifah Rizky, Fernaldi Angga Dell Rizqi, Muhammad Afif Safira , Alfa Sinung Suakanto Soni Fajar Surya Gumilang Tambunan, Wiridho Partuaon Taufik Nur Adi Tiara Putri Leksono Tien Fabrianti Kusumasari Tien Febrianti Kusumasari Ulinuha, Zulfa Wader Trisepa Jonson Wijaya, Yohanes Rico