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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Masyarakat Informatika Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ekonomi Bisnis dan Kewirausahaan JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) International Journal of Artificial Intelligence and Robotics (IJAIR) Advance Sustainable Science, Engineering and Technology (ASSET) Devotion: Journal of Research and Community Service JS (Jurnal Sekolah) Jurnal Ekonomi Bisnis dan Kewirausahaan JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Sri Winarno
Faculty of Information Science and Technology, Multimedia University
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Myopia Identification by Fundus Photo Image Classification Using Convolutional Neural Network Laksono, Giffari Ilham; Winarno, Sri
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10624

Abstract

Myopia is a significant vision problem worldwide, requiring early detection to prevent further damage. This study aims to develop an image classification model using a Convolutional Neural Network (CNN) to identify myopia based on fundus images. The dataset used was 124,749 fundus images, divided into 80% for training and 20% for testing. The applied architecture was EfficientNetB0, chosen for its ability to achieve high performance with efficient computation. Experimental results showed that this model successfully achieved a classification accuracy of 97% in distinguishing between myopic and non-myopic images. These findings demonstrate the potential of CNN, especially EfficientNetB0, as a diagnostic tool for automatic myopia identification, which can accelerate the detection process and improve the accuracy of clinical diagnosis.
Addressing Extreme Class Imbalance in Multilingual Complaint Classification Using XLM-RoBERTa Ariyanto, Muhammad; Alzami, Farrikh; Sani, Ramadhan Rakhmat; Gamayanto, Indra; Naufal, Muhammad; Winarno, Sri; Iswahyudi
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11606

Abstract

Government complaint management systems often suffer from extreme class imbalance, where a few public service categories accumulate most reports while many others remain under-represented. This research examines whether simple class weighting can improve fairness in multilingual transformer models for automatic routing of Indonesian citizen complaints on the LaporGub Central Java e-governance platform. The dataset comprises 53,877 Indonesian-language complaints spanning 18 service categories with an imbalance ratio of about 227:1 between the largest and smallest classes. After cleaning and deduplication, we stratify the data into training, validation, and test sets. We compare three approaches: (i) a linear support vector machine (SVM) with term frequency inverse document frequency (TF-IDF) unigram and bigram and class-balanced weights, (ii) a cross-lingual RoBERTa (XLM-RoBERTa-base) model without class weighting, and (iii) an XLM-RoBERTa-base model with a class-weighted cross-entropy loss. Fairness is operationalised as equal importance for categories and quantified primarily using the macro-averaged F1-score (Macro-F1), complemented by per-class F1, weighted F1, and accuracy. The unweighted XLM-RoBERTa model outperforms the SVM baseline in Macro-F1 (0.610 vs 0.561). The class-weighted variant attains similar Macro-F1 (0.608) while redistributing performance towards minority categories. Analysis shows that class weighting is most beneficial for categories with a few hundred to several thousand samples, whereas extremely rare categories with fewer than 200 complaints remain difficult for all models and require additional data-centric interventions. These findings demonstrate that multilingual transformer architectures combined with simple class weighting can provide a more balanced backbone for automated complaint routing in Indonesian e-government, particularly for low- and medium-frequency service categories.
Co-Authors Abiyyi, Ryandhika Bintang Adhitya Nugraha Al-Azies, Harun Alzami, Farrikh Anatri Desstya Andrean, Muhammad Niko Ardytha Luthfiarta Arga Retha, Helynda Mulya Ariansyah, M. Hafidz ARIYANTO, MUHAMMAD Aryanti, Firda Ayu Dwi Asih Rohmani, Asih Atha Rohmatullah, Fawwaz Ayu Harini, Pradhita Rizka Cahya, Leno Dwi Cahyani, Ailsa Nurina Edi Noersasongko Erika Devi Udayanti Fadlullah, Rizal Fahmi Amiq Fahri Firdausillah Farandi, Muhammad Naufal Erza Fauzyah, Zahrah Asri Nur Fikri Budiman Firmansyah, Gustian Angga Fitri, Maulatus Shaffira Ganiswari, Syuhra Putri Go, Agnestia Agustine Djoenaidi Guruh Fajar Shidik Harun Al Azies Hastuti, Tri Puji Ibad, M. Azka Khoirul Ika Novita Dewi Indra Gamayanto Iswahyudi Junta Zeniarja Kamarudin, Fatkhurridlo Pranoto Khoirunnisa, Emila Krisna, Julius Immanuel Theo Kurniawan, Defri Kuswidiani, Erika Widya Laksono, Giffari Ilham Laurent, Feby Malim, Nurul Hashimah Ahmad Hassain Maulana, Isa Iant Maulani, Ahmad Alaik Megantara, Rama Aria Mohammad Arif Muhammad Naufal Muttaqin, Almas Najiib Imam Nur Fitri, Esmi Pangestu, Aditya Gilang Pratama, Raffy Nicandra Putra Pratama, Rifky Ariya Pulung Nurtantio Andono Putra, Permana Langgeng Wicaksono Ellwid Putri, Rusyda Tsaniya Eka Ramadhan Rakhmat Sani Ramadhani, Talitha Olga Ricardus Anggi Pramunendar Rizqi, Ainur Rahma Miftakhul Rofiqi, Harri Kurniawan Rony, Zahara Tussoleha Rusnandari Retno Cahyani Sabilillah, Ferris Tita Sasono Wibowo Senata, Denny Soeleman, M. Arief Soeroso, Dennis Adiwinata Irwan Sukamto, Titien Suhartini Sulistyono, Teguh Syifa Nurazizah, Syifa Wardhana, Faviola Proba Widhiyanti, Erna Amalia Wijaya, Tan Nicholas Octavian Yosep Teguh Sulistyono, Marcelinus Yudantiar, Mayang Arinda Zami, Farrikh Al