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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Electrical, Electronics and Informatics
Istas Pratomo Manalu
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Computer Science & IT Electrical & Electronics Engineering Engineering

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IoT-Based Machida Cultivation Method Implementation in Hydroponic System to Increase Melon Crop Productivity Guntur Petrus Boy Knight; Istas Pratomo Manalu; Sari Muthia Silalahi
Journal of Electrical, Electronics and Informatics Vol 7 No 1 (2023): JEEI (July 2023)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

National consumption of fruits in Indonesia is expected to increase. The reasons for this are the awareness of Indonesian about the health effect of fruits consumption and the demographic bonus that will increase Indonesian economic output which in turn increase the consumption of fruits in the long run. Without the increase in fruits production, the price of fruits will increase as a consequence of supply and demand imbalance. In this research we tried to increase the productivity of Melon crops as a study case. Traditional cultivation of melon usually produces 1-2 melons per crop. The purpose of this research is to increase the productivity of Melon crops to at least 8 melons per crop using method such as IoT, Hydroponic system, and Greenhouse. Despite several drawbacks from the initial research design, the result of the research successfully increased the productivity of melon crop as stated in the research purpose.
IoT-Based Smart Infusion Monitoring and Control System Using ESP32 Simatupang, Frengki; Istas Pratomo Manalu; Ana Muliyana; Paian Manalu; Erna Meliana Manurung; Batara Hasintongan Nadapdap
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6632

Abstract

Infusion is a common medical procedure used to treat conditions such as gastric acid and typhoid, where precise fluid administration is critical. This study presents the development of an IoT-based smart infusion monitoring and control system using an ESP32 microcontroller, designed to automatically monitor infusion volume and regulate drip rate in real-time. The system integrates a load cell sensor to measure infusion fluid weight, a photodiode sensor to detect drip rate, and a servo motor to adjust the flow rate adaptively. It features web-based monitoring, buzzer alerts, and an LCD display for local feedback. The system was tested in a clinical simulation with an infusion requirement of 1500 mL per 24 hours and various drip factors (15, 20, and 60 drops/mL). The infusion volume status is automatically categorized into three levels: FULL (>350 mL), HALF (150–350 mL), and WARNING (<150 mL). Based on 10 test scenarios, the system accurately classified volume levels and triggered warnings when volume dropped below 150 mL. For example, in Test-08 to Test-10, volumes of 139.67 mL, 87.34 mL, and 40.53 mL were correctly detected as “WARNING” with buzzer alerts activated. The load cell sensor achieved excellent accuracy, with an error margin between 0.02% and 0.06%, while the system maintained drip-rate stability within a ±5% tolerance range. It also dynamically adjusted the servo angle to correct under- or over-drip conditions. These results confirm that the system delivers accurate, automated, and responsive infusion control, making it suitable for healthcare settings with limited staff to improve safety and efficiency.
Co-Authors Ana Muliyana Batara Hasintongan Nadapdap Erna Meliana Manurung Frengki Simatupang Guntur Petrus Boy Knight Paian Manalu Sari Muthia Silalahi