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All Journal Jurnal Algoritma JUITA : Jurnal Informatika JOIN (Jurnal Online Informatika) Jurnal Eksplora Informatika Jurnal ULTIMATICS Jurnal Teknik Informatika (JUTIF) El-kahfi : Journal of Islamic economics Journal of Community Development Jurnal PkM MIFTEK Jurnal Algoritma JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dewi Tresnawati
Institut Teknologi Garut
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Journal : juita jurnal informatika

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Image Classification On Garutan Batik Using Convolutional Neural Network with Data Augmentation Leni Fitriani; Dewi Tresnawati; Muhammad Bagja Sukriyansah
JUITA: Jurnal Informatika JUITA Vol. 11 No. 1, May 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i1.16166

Abstract

In Indonesia, Batik is one of the cultural assets in the field of textiles with various styles. There are many types of batik in Indonesia, one of which is Batik Garutan. Batik Garutan has different motifs that show the characteristics of Batik Garutan itself. Therefore, to distinguish the features of Batik Garutan from another batik, a system is needed to classify the types of batik patterns. Classification of batik patterns can be done using image classification. In image classification, there are methods to increase the size and quality of the limited training dataset by performing data augmentation. This study aims to obtain an image classification model by applying data augmentation. The image classification process is carried out using the Deep Learning method with the Convolutional Neural Network algorithm, which is expected to be helpful as a reference for research and can be applied to software development related to image classification. This study generated models from several experiments with different epoch parameters and dataset proportions. A system obtained the investigation with the best performance with a data proportion of 9:1, resulting in an accuracy value of 91 percent.
Multiplayer Game Guessing Sunda’s Proverb Using Socket.Io And Node.Js Leni Fitriani; Dewi Tresnawati; M. Iqbal Ismail Safei Pamungkas
JUITA: Jurnal Informatika JUITA Vol. 11 No. 2, November 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i2.16828

Abstract

Game development is currently quite rapid. Now games can be played by various groups, because many games now contain not just games, but there are also games with educational content. The educational game that will be made in this study is a website-based Sundanese proverb game, this type of game will be multiplayer so that players can compete with other players. The purpose of this research is to make a Sundanese proverb educational multiplayer game that can be played simultaneously with many players, so that it can introduce the regional language, namely Sundanese, to the wider community. The technology used in making this game is Socket.IO and Node.JS, using these technologies can make end users interact in real time. In making this game using the Game Development Life Cycle (GDLC) methodology with the stages of initialization, pre-production, production, testing, beta and release. The results obtained in this research are website-based Sundanese proverb educational games that can be used without taking up much space on the device.
Transformer-Based Detection Model for Number Recognition on Electric kWh Meters Leni Fitriani; Ahmad Sanusi; Rita Rismala; Dewi Tresnawati
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.26161

Abstract

Manual recording of analog kWh meters frequently results in user complaints due to discrepancies between recorded and actual electricity usage. These issues stem from the continued reliance on manual data collection. This study proposes a model that automatically detects and extracts numerical values from kWh electricity meters using the Detection Transformer (DETR) for object detection and EasyOCR for optical character recognition (OCR). The model was developed using the Machine Learning Life Cycle (MLLC) methodology, comprising data acquisition, preprocessing, modeling, evaluation, and deployment. Evaluation using the Mean Average Precision (mAP) metric yielded a score of 96.83%, demonstrating high object detection accuracy. The trained model was integrated into a simple web application built with the Flask framework. While the model performed well on high-quality images, its effectiveness declined on low-quality images, such as blurry or distant captures. This study highlights the potential of DETR for object detection and OCR-based text extraction in analog meter reading, while also identifying challenges in handling suboptimal image conditions for future improvements
Co-Authors Ade Sutedi Ade Sutedi, Ade Adinugraha, Yudistira Agas Moch Fauzan Agung Gumelar Agung Khofidin Agus Nugraha Ahdan, Alfin Muhamad Ahmad Arif Budiman Ahmad Sanusi Ai Adhayani Aldi Nur Puadi Alfi Saeful Milah Alim, Ikbal Nur Alsi Linda Sari Andi Fauzi Andri Ikhwana Anita Nurvitrya Apriadi, Ari Ardiansyah, Ryan Arief Pinasti Nugraha Ary Akbar Sidiq Ary Setijadi Prihatmanto Asep Deddy Supriatna Asri Mulyani Asyah, Cha Cha Nisya Ayu Latifah Cecep Saepuloh Cecep Sahlan Ma'rup Chandra Wijaya Dauni, Popon Dede Kurniadi Deden Nurul Hakim Dhami Johar Dhamiri Diki Setiadi Diki Silviadi Dimitri Mahayana Dindin Sihabudin Ahmad Wardi Dini Destiani Siti Fatimah Dini Destiani Siti Fatimah Dini Destiani Siti Fatimah Dini Destiani Siti Fatimah Edi Hidayat Egi Ramdani Eko Retnadi Eneng Wildayanti Eri Satria Eri Satria Eri Satria Eri Satria Erwin Gunadhi Fahmi Ilham Ardiansyah Fahreza, Muhammad Fajar Haiqal Farida Nuraeni Fassa Fatmalasari, Intan Sri Fauzan, Wildan Ahmad Nur Fikri Fahru Roji Fitriani, Ranti Fitriyani, Ranti Garnisa, Sandra Budi Gugum Gumilar Setia Permana Handayani, Nanda Haniyah, Hani Hanna Qurrotul Aini Hariyana Sanjaya Hidayatno, Fachrul Ramdaniar Hidayattuloh, Yusuf Husni Mubarok I Putu Satwika Indri Tri Julianto Intan Fadzilatunnisa Iqbal Maulana Iqbal Setyawan Irgi Muhamad Albani Kamal, Muhammad Abyan Karti, Karti Khoerudin Yusuf Kresnapatty, Duva Kusumah, Rullyanto Angga Latifah, Ayu Leni Fitriani Leni Fitriani, Leni Lestari, Nina Lukman Hakim M. Iqbal Ismail Safei Pamungkas Maharani, Larasyla Putriana Maulana, Randi Muhamad Firzan Desfriansyah Muhammad Bagja Sukriyansah Muhammad Fauzy Muhammad Rikza Nashrulloh Mujakki, Akmal Muttaqin, Epwan Nurul Nahdi Hadiyanto nanang nanang Nasrullah, Muhammad Rikza Novitasari, Sinta Nugraha, Alwi Iswahyudi Nukholis Abdul Majid Nurahman, Gia Nurhidayanti, Shopi Nurhisyam, Fahmi Nurohmah, Novita Fitri Nurul Fitriyani Pardiansyah, Irgi Rahma Melati, Tri Rahman, Ridwan Arif rahmat Soleh Rendi Nurdian Rian Fardian Rizqi Ridwan Arif Rahman Ridwan Setiawan Ridwan Setiawan Rifa Ferdiansyah Rinda Cahyana Rinda Cahyana Riri Ratna Utami Risa Aisyah Rita Rismala Riyad Sabilul Muminin Rizal Mustofa Rizwan Faiz Rojani Rozak Rahmat Rostilawati, Detila Rusdiawan, Mohamad Mihradi Salsabil, Ilham Sandy Mawardi sandy mawardi Sania Alvi Alviah Septiana Firdaus Setiawan, Asep Trisna Silviadi, Diki Sopiah, Dede SRI RAHAYU Sri Rahayu Sumarto Dian Waluyo Taufik Sapta Nugraha Widi Gumelar Yomi Guno Yosep Septiana Yudistira Adinugraha Yulia Nuriyanti Yusep Moch Yusup Zikrifah, Amelia