Article Per Year (5 Year)
p-Index From 2021 - 2026
1.503
P-Index
This Author published in this journals
All Journal JEES (Journal of English Educators Society) IJTB | INTERNATIONAL JOURNAL OF TECHNOLOGY AND BUSINESS I-STATEMENT IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL TEKNOLOGI INFORMASI Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Journal Technology Information and Data Analytic
Andi Susilo
Airlangga University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal Technology Information and Data Analytic

 1 
Optimalisasi Algoritma YOLOv5 untuk Deteksi Mata Katarak Susilo, Andi; Adryansyah, Fachri
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 2 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i2.55

Abstract

Penelitian ini membahas penerapan algoritma YOLOv5 untuk deteksi dini penyakit katarak berdasarkan pengolahan citra, katarak adalah penyakit mata umum yang dapat menyebabkan kebutaan jika tidak segera ditangani. YOLOv5 sebagai metode deteksi objek real-time mampu mengidentifikasi objek dalam satu frame gambar dengan kecepatan tinggi dan akurasi mencapai 85%. Hasil pengujian menunjukkan bahwa algoritma YOLOv5 ini mampu mengidentifikasi katarak dengan baik yang dibuktikan dengan nilai F1-Score sebesar 0,86, Precision 0,894, dan Recall 0,891.
Perancangan Sistem Pemantauan Kualitas Air Berbasis IoT pada Kolam Ikan Hias Air Tawar Paturusi, Shania Bakhtiar; Susilo, Andi
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.86

Abstract

This study focuses on designing an IoT-enabled monitoring system to enhance water quality management in freshwater ornamental fish ponds, with an emphasis on tracking temperature, pH, and total dissolved solids (TDS). Utilizing an ESP32 microcontroller along with DS18B20, pH, and TDS sensors, the system collects and transmits real-time water quality data via the Blynk platform. The findings demonstrate that the system effectively monitors temperature, pH, and TDS levels, initiating corrective actions like activating a water heater or solenoid valve when needed. By automating these processes, the system minimizes the need for manual checks, improves resource efficiency, and supports optimal guppy fish farming conditions.
Co-Authors Adam Arif Budiman, Adam Arif Adryansyah, Fachri Aji Setiawan Astuti, Eka Yuni Ayu Susilawati, Endang Budiman, Irwansyah Desmiwati, Desmiwati Fanani, Ahmad Aziz Ferrel Bramasta Purba, Jhosua Herianto Mushollin, Muhammad Abdul NOVIANTI, EVA Paturusi, Shania Bakhtiar Pramesti, Gita Restu Mufanti, Restu Riyadi, Linggo Gagat Riyanto, Indra Sugianto, Didik Susanto, Herry  Suwarni Suwarni Tri Mahardika, Bagus Tri Wijayanto, Tri Ulansari, Ramadhani Wahyono, Imam Yasmiati Yasmiati Yudha, Afri