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Journal : Bulletin of Electrical Engineering and Informatics

Control system development for monitoring nutrition of curly mustard plants in horizontal NFT hydroponic based-IoT Rusdiyana, Liza; Suhariyanto, Suhariyanto; Sampurno, Bambang; Ardiyanti Pratama, Tania
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7920

Abstract

Agricultural technology with a hydroponic system provides an alternative for farmers and communities who have limited land. This research aims to make innovations with a hydroponic monitoring system that can be done remotely via the internet that combines 2 systems, namely horizontal technique and nutrient film technique (NFT). The sample used in this study was curly mustard seeds. To combine the 2 systems, researchers designed a hydroponic prototype system using internet of things (IoT) in the form of smart hydroponics in the Blynk application. This research uses literature studies for research reference and flowcharts to regulate the flow of the program to be researched. The results showed that by using the IoT and the Blynk application, owners can monitor the nutrient content and pH of curly mustard greens remotely. The system automatically controls nutrients and pH according to the desired settings. In the growth control system of mustard curly, the use of smart hydroponics is proven to be better. Harvestable plants at the age of 34 days. Unlike the conventional system, the harvest period is at the age of 40–45 days. Therefore, smart hydroponics is more efficient because it shortens the harvesting time and saves labor.
Optimizing grouper catch efficiency using AI-controlled light fishing in Pamekasan Sampurno, Bambang; Sukma Adjie, Galih; Mashuri, Mashuri; Rusdiyana, Liza; Suhariyanto, Suhariyanto
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10697

Abstract

Light fishing techniques are widely used to improve marine fish catches by adjusting the spectrum and intensity of light-emitting diodes (LEDs) to attract specific species. Grouper (Epinephelus spp.) are known to respond well to red light, although the optimal light intensity remains unclear. This study proposes a dual system consisting of a pulse-width modulation (PWM)-based red LED brightness controller and an artificial intelligence (AI) fish detection module using the YOLOv4 algorithm. LED brightness was varied at duty cycles of 50, 100, 150, 200, and 250 (1 kHz), producing luminous flux values between 120 and 650 lm. Field experiments conducted at the Pamekasan coast using 10 grouper samples showed that 80% of fish aggregated at a duty cycle of 150 (~420 lm at 1.5 m). ANOVA results (p0.05) indicated significant differences among light intensities, with the highest attraction observed at this level. These findings suggest the existence of an optimal light intensity threshold. Further studies with larger samples and multi-site experiments are required to validate these results and evaluate ecological impacts.
Co-Authors Achendri M. Kurniawan Achendri M. Kurniawan Adham, Muhammad Afif Ridwan Afizzal, Afizzal Agung Setyo Wicaksono, Agung Setyo Agus Sugiarto Agus Triyono Agustino, Novanda Ilham Akhmad, Arif Nur Alethery, Abdulrahman Faisal Hezam Andriyani, Linda Annisa Aprilia Annisa Ramadhanti, Nurul Apriandi Simaindra Sitorus, Apriandi Simaindra Ardiyanti Pratama, Tania Armin Naibaho Aziz, Usamah Abdul Azzahra, Fatima Bambang Sampurno, Bambang Barid, Mubin Barlia, Gusti Bias Ramadhan, Bias Burhamtoro Burhamtoro, Burhamtoro Cahyani, Novita Anggun Putri Cahyani, Tiara Indah Caswita Caswita Chastine Fatichah Dearcarisi, Erick Sandy Deni Putra Arystianto Deni Putra Arystianto Desdy, Muhamad Rafhy Dewantari, Riska Amalia Dewi, Sisilia Novianti Dita Cahya Dika Djojo, Achmad Dwi Sulistyawati, Dwi Edi Faisal Edi Nurwahyu Julianto, Edi Nurwahyu Elena Deandra Asmara Elvyanto Fahrul Razi, Yadi Fajriannoor Fanani, Fajriannoor Febrianti, Urai Ririn Indah Firdaus Azwar Ersyad, Firdaus Azwar Fittarsih, Niya Habibie, Muhammad Zamzami Hadi, Heru Pramono Hanawati, Siti Helik Susilo Hidayati, Dessy Hilda Rahmah, Hilda Himawan Tri Ilyasa Ika Silviana Widianti Indah Ria Riskiyah, Indah Ria Irvansyah, Thedy Jamot Damanik, Joel Juanda Jannah, Safira Baiti Jayaputra, Harsalim Aimunandar JOKO SETIONO Juniartati, Erni Kapadia, Raju Kartika Purwitasari Kurniawan, Ramadhani Putra Lamana, Aspia Latif, Nashrudin Lilik Sabdaningtyas Lily Limson, Leonatus Liza Rusdiyana Lydianingtias, Diah Mahirul Mursid Maisarah, Fauziah Shanti Cahayani Siti Maisarah, Fauziah Shanti Cahyani Siti Mashuri Mashuri Merry, Maria Mita Agustina, Mita Moch. Sholeh Muhammad Fahrizal, Muhammad Muhammad Tri Aditya Nabila, Fariqah natasya firdia lala, suci Nawir Rasidi Ndeta, Egidius Umbu Novan Effendi, Novan Nurbani Nurbani, Nurbani Nureksa, Yuda Octa, Dewi Fortuna Raihani Pangestu, Bayu Adjie Pradityana, Atria Pramadana, Alfado Rifqi Pramucitra, Sinta Primadhani, Anggun Purvita, Tharisha Zaskia Purwanti Putra, Caesar Nanda Putri, Ajeng Puspita Rachmad Abdullah Radhia Jatu Noviarsita Sakti Raharjo, Bobby Asukmajaya Rahmawan, fauzi Akbar Rahmawati, Syellen Dwi Ramadhan, Muhammad Syurya Ramadhani, A.Rizal Retno Manuhoro Setyowati Rinto Sasongko Rista Fauziningtyas, Rista Riyanarto Sarno Rofiq, Febriansyah Ainur Romadhon, Riswanda Firman Sabrina, Nabila Ayu Sanjoto, Budi L. Saptiyono, Ami Sari, Petty Aprilia Sarsetyanto, Joko Satria, Candra Yuda Siti Shoimah Sitti Safiatus Riskijah Sugeng Riyanto Sukiranto, Sukiranto Sukma Adjie, Galih Sumardi . Sumaryo Sumaryo Suryadi, Akhmad Suselo Utoyo, Suselo Taufiq Rochman TIKA RISTIA DJAYA Wahiddin, Wahiddin Wirawan, Artesta Zaini, Sarliana Zulmy Faqihuddin Putera