Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency

The profession of fishermen requires a reliable system to remove stagnant water from fishing boats, as manual drainage is time-consuming and inefficient. This study proposes an IoT-based automatic water drainage system without using an inverter or ultrasonic sensor, offering a cost-effective alternative. The system utilizes a water level sensor and a DC water pump, controlled via a smartphone application. The research model used is the Research and Development (R&D) model, through several stages, namely potential and problems, initial data needs, prototype creation, prototype validation, prototype revision, validation, implementation. Problems occur at the prototype stage, problems that must be revised include aspects of wiring, Power Suitability, Water Level Sensor Test, and the configuration of the relay used. The IOT-based automatic water drainage system can function based on the results of white-box testing including Hardware Implementation, Software Implementation, Implementation of Application Usage, and Automatic Drainage System Testing. This is indicated by the results of the Liquid Water Level Sensor Functionality test, DC Water Pump Functionality Test, Solar Panel and Battery Functionality Test, and IOT Functionality Test. IOT-based automatic water discharge systems on fishing boats are more efficient and cost-effective in the long run, although diesel engines offer more reliability under adverse weather conditions or in places with limited access to sunlight.

Authors

Publication Details

Journal
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Published
2025-06-20
DOI
https://doi.org/10.29207/resti.v9i3.6222
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency

Zulkipli Zulkipli, Aggry Saputra, Zulfachmi Zulfachmi, Muthiah As Saidah et al.
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
IoT-based Control Systems
article

Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency

Zulkipli Zulkipli, Aggry Saputra, Zulfachmi Zulfachmi, Muthiah As Saidah, Vita Rahayu
article en

Abstract

The profession of fishermen requires a reliable system to remove stagnant water from fishing boats, as manual drainage is time-consuming and inefficient. This study proposes an IoT-based automatic water drainage system without using an inverter or ultrasonic sensor, offering a cost-effective alternative. The system utilizes a water level sensor and a DC water pump, controlled via a smartphone application. The research model used is the Research and Development (R&D) model, through several stages, namely potential and problems, initial data needs, prototype creation, prototype validation, prototype revision, validation, implementation. Problems occur at the prototype stage, problems that must be revised include aspects of wiring, Power Suitability, Water Level Sensor Test, and the configuration of the relay used. The IOT-based automatic water drainage system can function based on the results of white-box testing including Hardware Implementation, Software Implementation, Implementation of Application Usage, and Automatic Drainage System Testing. This is indicated by the results of the Liquid Water Level Sensor Functionality test, DC Water Pump Functionality Test, Solar Panel and Battery Functionality Test, and IOT Functionality Test. IOT-based automatic water discharge systems on fishing boats are more efficient and cost-effective in the long run, although diesel engines offer more reliability under adverse weather conditions or in places with limited access to sunlight.

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Vol. 9(3)
Openalex Percentile: Top 86%
IoT-based Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency — Zulkipli Zulkipli, Aggry Saputra, et al. · Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2025) | TGRS Research Map | TGRS