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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Inkofar
Salsanabila Mariestiara Putri
Politeknik PGRI Banten
Computer Science & IT Engineering

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SISTEM OTOMASI AKUAPONIK PINTAR BERBASIS ARDUINO Salsanabila Mariestiara Putri; Alpiani; Ade Fadilah
INKOFAR Vol. 9 No. 1 (2025)
Publisher : Politeknik META Industri Cikarang

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

Abstract

The Ministry of Health has estimated that by 2035, 65% of the population will reside in urban areas, particularly in 16 major cities in Indonesia. The increasing population leads to a continuous rise in food demand. In this context, aquaponics emerges as one solution to reduce the food demand for urban residents. Through the aquaponic system, two commodities can be produced simultaneously: vegetables and fish. However, conventional aquaponic systems require significant labor and time, as one must always be present to perform maintenance processes. Therefore, a smart automation system for monitoring and controlling based on Arduino is needed. The research method used is the Research and Development program for Arduino. The variables in this Arduino-based smart aquaponic automation system are monitoring and controlling variables. The monitoring system involves monitoring the humidity of the growing media, temperature, water TDS, and water pH, which are displayed on an LCD, while the controlling system regulates the humidity level of the growing media using pumps and lights. The measurement results from this monitoring system show an error value of 0.49% for the temperature sensor, 0.95% for the humidity sensor, 0.12% for the TDS sensor, and 1.64% for the pH sensor. The results of the sensor testing indicate errors, with the error values being 0.49% for the temperature sensor, 0.95% for the soil moisture sensor, 0.12% for the TDS sensor, and 1.64% for the pH sensor. Additionally, the pump and lights can operate automatically using a fuzzy control system.
Development of a Smart IoT Dashboard for Sustainable River Water Quality Monitoring in Ciujung River Salsanabila Mariestiara Putri; Mujiburohman Mujiburohman; Rizaldy Khair
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16063

Abstract

The water quality of the Ciujung River in Serang has experienced a significant decline due to domestic and industrial waste pollution, directly affecting public health and environmental sustainability. Current monitoring systems remain largely manual and lack responsiveness, resulting in delayed and less data-driven pollution management. This study aims to develop an Internet of Things (IoT)-based water quality monitoring system integrated with an intelligent dashboard to support sustainable environmental programs. The proposed system monitors key water quality parameters, including pH, temperature, turbidity, and total dissolved solids (TDS), in real time. The methodology includes designing a microcontroller-based sensor prototype, integrating data communication modules (LoRa/GSM), processing data via a cloud server, and implementing interactive visualization through a web-based dashboard. Furthermore, the system features an early warning mechanism when water parameters exceed environmental quality thresholds. Field trials are conducted at several strategic points along the Ciujung River to evaluate data acquisition reliability, connectivity stability, and sensor accuracy. The expected outcome is an efficient, responsive, and adaptive monitoring system that supports data-driven decision-making in river water management and reinforces commitments to sustainable development.
Integrating Automatic Stock Monitoring and Digital Inventory Systems for MSMEs A Mobile Application Approach (Case Study in Serang City, Indonesia) Rezty Arizta Putri; Salsanabila Mariestiara Putri; Hayatul Mardiah; Rizaldy Khair
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16111

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Indonesia continue to face inefficiencies in inventory management due to manual stock recording, data inconsistency, and delays in operational decision-making. In Serang City, these challenges often lead to stockouts, excess inventory, and limited business scalability. This study aims to develop and evaluate a mobile-based automated inventory management system that supports real-time stock monitoring and decision-making for MSMEs. The research employs a Research and Development (R&D) approach integrated with the Agile-Scrum methodology, encompassing problem identification, user requirement analysis, system design, prototype development, functional testing, and usability evaluation. Functional validation was conducted using black box testing, while system usability was assessed using the System Usability Scale (SUS) involving 15 MSME users. The results indicate that all core system functions achieved a 100% success rate, including automated stock recording, cloud-based data synchronization, real-time notifications, and dashboard analytics. The usability evaluation produced an average SUS score of 82.5, classified as Excellent, indicating high user acceptance and ease of use. These findings demonstrate that the proposed system effectively improves inventory accuracy, operational efficiency, and decision-making quality, contributing to MSME digital transformation in developing regions.
Co-Authors Ade Fadilah Alpiani Hayatul Mardiah Mujiburohman Mujiburohman Rezty Arizta Putri Rizaldy Khair