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All Journal snimed EKSAKTA: Journal of Sciences and Data Analysis Jurnal Teknoin Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) CommIT (Communication & Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Kesehatan Komunitas JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) IJID (International Journal on Informatics for Development) Technologia: Jurnal Ilmiah Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Informatika dan Rekayasa Elektronik bit-Tech JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) E-Link: Jurnal Teknik Elektro dan Informatika Automata Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan JURNAL TEKNOLOGI TECHNOSCIENTIA Enthusiastic : International Journal of Applied Statistics and Data Science Cermin Dunia Kedokteran Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Cermin Dunia Kedokteran
Izzati Muhimmah
Department Of Informatics, Universitas Islam Indonesia, Jalan Kaliurang Km. 14, Yogyakarta 55501
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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KOMPARASI ARSITEKTUR YOLOV8, YOLOV10, YOLO11, DAN YOLO26 UNTUK DETEKSI BAKTERI MYCOBACTERIUM TUBERCULOSIS PADA CITRA MIKROSKOPIS Raisha Alma Sahara; Arrie Kurniawardhani; Izzati Muhimmah
Technologia : Jurnal Ilmiah Vol 17 No 3 (2026): Technologia (Juli)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jit.v17i3.23393

Abstract

Tuberkulosis (TBC) masih menjadi ancaman kesehatan global yang serius, khususnya di negara berkembang seperti Indonesia yang menempati peringkat kedua dengan beban TBC tertinggi di dunia. Deteksi dini berbasis citra mikroskopis apusan sputum dengan pewarnaan Ziehl-Neelsen merupakan metode diagnosis yang umum digunakan, namun proses pembacaan slide secara manual memerlukan keahlian tinggi dan rentan terhadap human error. Penelitian ini membandingkan performa delapan varian model dari empat generasi arsitektur You Only Look Once (YOLO), yaitu YOLOv8 (Nano, Small, Medium), YOLOv10 (Medium), YOLO11 (Nano dan Small), dan YOLO26 (Nano dan Small), untuk mendeteksi bakteri Mycobacterium tuberculosis secara otomatis pada citra mikroskopis pewarnaan Ziehl-Neelsen. Dataset yang digunakan terdiri dari 1.265 citra (7.027 anotasi bounding box) yang bersumber dari Kaggle, dibagi dengan rasio 70:20:10 untuk pelatihan, validasi, dan pengujian. Seluruh model dilatih dengan konfigurasi identik menggunakan optimizer SGD dengan learning rate 0,01 selama 100 epoch pada resolusi input 640×640 piksel, dengan pretrained weights dari dataset COCO. Evaluasi dilakukan berdasarkan metrik mAP@50, mAP@50-95, Precision, Recall, F1-Score, inference time, dan ukuran model TFLite sebagai indikator kelayakan edge deployment. Hasil eksperimen menunjukkan bahwa YOLO11n meraih performa terbaik secara keseluruhan dengan mAP@50 sebesar 0,850, F1-Score 0,782, inference time 10,56 ms, serta ukuran TFLite 2,85 MB hanya dengan 2,5 juta parameter, menjadikannya kandidat terkuat untuk implementasi pada perangkat edge computing seperti Raspberry Pi. Sementara itu, YOLO11s menawarkan recall tertinggi sebesar 79,2% yang lebih sesuai untuk skenario skrining awal, dan YOLOv8n menjadi alternatif terbaik ketika kecepatan inferensi menjadi prioritas utama. YOLOv10m ditemukan tidak kompatibel dengan format TFLite akibat inkompatibilitas struktural pada lapisan head-nya. Temuan ini mengkonfirmasi bahwa efisiensi desain arsitektur memiliki peran yang lebih signifikan terhadap performa dibandingkan penambahan kapasitas parameter semata, dan bahwa pemilihan model harus disesuaikan dengan prioritas klinis serta keterbatasan perangkat target.
An Empirical Analysis of Anchor Optimization and RPN Sampling in Faster R-CNN for Pleural Effusion Detection Sakone, Muhammad Jafar; Muhimmah, Izzati
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 2 (2026): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i2.72491

Abstract

Pleural effusion detection from chest X-ray images remains challenging due to variations in lesion scale and severe foreground-background imbalance within two-stage object detectors. This study empirically investigates the effects of anchor representation and Region Proposal Network (RPN) sampling on the detection process of Faster R-CNN for pleural effusion detection. A Faster R-CNN with ResNet-50 and Feature Pyramid Network (FPN) was evaluated using representative anchors derived from ground-truth object characteristics and adjusted RPN Intersection over Union (IoU) assignment thresholds. The analysis examined anchor representation, RPN sample distribution, proposal quality, detection confidence, and stage-wise detection outcomes. Representative anchors improved geometric correspondence with the target objects, while RPN threshold adjustment substantially increased positive RPN samples from approximately 4 to 110 per image. Proposal analysis showed high spatial accessibility, with proposal IoU coverage at IoU ≥ 0.50 reaching up to 99.35% across the evaluated configurations. However, stage-wise analysis showed that classification was the dominant source of detection failure, accounting for 15.03–16.99% of the evaluated objects, while proposal and localization failures remained comparatively limited. These findings demonstrate that optimization in anchor representation and RPN sampling can enhance upstream proposal characteristics, but such improvements do not necessarily translate proportionally into final detection performance.
Sistem Pencadangan Basis Data Asinkron Berbasis Task Queue menggunakan RabbitMQ Ahmad Ihyaulhaq; Izzati Muhimmah
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No2.pp972-982

Abstract

Universitas Terbuka (UT), Indonesia's distance-learning university with 39 regional offices, previously ran database backups separately at each office, leaving the central office without visibility into backup status, history, or success rates. Running large backups synchronously inside the main application also posed a potential risk to service performance. This study develops an asynchronous database backup architecture and a centralized monitoring dashboard for SIBU (Sistem Informasi Backup Universitas Terbuka), using a task queue to separate backup execution from the main application. The system was built with the waterfall method (requirement, design, implementation, and testing). RabbitMQ acts as the message broker in a competing consumer pattern: the backend publishes backup jobs to a queue, and a couple independent workers consume them, dumps the database, encrypts the output, and streams it to MinIO object storage. Black-box testing showed that all tested scenarios, including job submission, queueing, status updates, failure handling, and the central reporting dashboard, produced the expected results. The architecture is designed to keep backup workloads outside the main API process and to give the central office a single view of backup status across regional offices. Effects on latency, throughput, and resource usage were not measured and are left for future load testing.
Co-Authors -, Indrayanti adelia sukma ardana Adeniar Yusnina Agung Purwo Wicaksono Agus Darmawan Ahmad Ihyaulhaq Ahmed Mohammed Mohammed Nasser Alghaili Ainan Nur Andhika Pratama Anisa Nurul Wilda Arif Sulaksana Putra Arrie Kurniawardhani Astrianty, Ledy Elsera Ause Labellapansa, Ause Azhari, M Fauzan Aziz, Muhammad Thariq Dan Jeric Arcega Rustia Darmawan - Deny Rahmalianto Dhina Puspasari Wijaya, Dhina Puspasari Dhomas Hatta Fudholi Dimas Panji Eka Jalaputra Dimas Panji Eka Jalaputra Erika RE Denton Erlina Marfianti, Erlina Fajarwibowo, Dhimas Fajriyah, Rohmanul Franz, Annafi’ Galang Prihadi Mahardhika, Galang Prihadi Gracianna Devi, Micha Heksaputra, Dadang Helmi Roichatul Jannah Herlambang, Penggalih M Herman Yuliansyah Ika Fidianingsih Ika Firdianingsih Indrayanti, Indrayanti Indrayanti, Indrayanti Indri Dwi Febriani Irawan, Dudi Ivantoni, Redha Jamhari Jamhari July Arifianto Kariyam - Khairul Hafidh Komariyuli Anwariyah Kusumaningrum, Shinta Dewi Lailiyatus Sa'adah Lalu Mutawalli Lantip Rujito Latriwulansuci, Latriwulansuci Lestari, Tri Mukti Linda Rosita Lizda Iswari Meilita . Moh Reza Syaifur Rizal Mufti Syawaludin Muhammad Atnang Muhammad Khalifah Milano Nazarudin, Zohan Novian Mahardika Putra Novyan Lusiyana Nurastuti Wijareni Nurdana Ahmad Fadil Oktavianto, Hardian Penggalih M Herlambang Penggalih M Herlambang Prabowo, Mei Rahadian Kurniawan Raisha Alma Sahara Raisha Amini Rakhmawati, Restu Ratri Agung Nugraheni Reyer Zwiggelaar Riyanto, Didik Rizki Surtiyan Surya Rizky Eka Listanto Rohmatul Fajriyah Rohmatul Fajriyah Rositasari, Annisa S, Andika Bayu Sahriani Sakone, Muhammad Jafar Sasmito, Dinda Eling K Septia Rani Silvia Nurul Fata Smulders, Marinus J.M. Sri Kusumadewi Sri Winiarti TAUFIQ HIDAYAT Tien Budi Febriani Tito Yuwono, Tito Ummi Athiyah Wayan Tunas Artama Wigatning, Lestari H Yasmini Fitriyati Yasmini Fitriyati, Yasmini Yuliansyah, Herman Yulianti, Ana ZAINUL ARIFIN