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Integrasi Budidaya Tanaman Kangkung (Ipomea Aquatica Forsk) dan Ikan Nila Menggunakan Internet of Things Murni Handayani; Arif Sumardiono; Khoeruddin Witriansyah; Fadillah
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2160

Abstract

Aquaponics is an application of a sustainable agricultural system by integrating the cultivation of plants and fish at one time. Water availability in plant commodities and water is optimized in aquaponic cultivation systems. Several parameters that can determine the level of success of cultivating an aquaponic system include water pH, water temperature, TDS, and water level. The process of monitoring and controlling several important parameters in cultivation can be done conventionally, but it is less effective and efficient because the cultivator has to check and measure the parameters every time. Therefore, as time goes by, and technology becomes more sophisticated, a control and monitoring system is designed. several parameters such as water pH, water temperature, TDS, and water level based on the Internet of Things (IoT) to support the success of the aquaponics system by monitoring environmental conditions using a laptop/smartphone at that time. Based on the test results, it was found that aquaponics in an indoor environment is successful - the air conditioner has a water temperature below 250C, the water pH shows 7pH and the average nutrient in the water shows 214.5 ppm. Based on this, kale plants in the stem grow quickly while leaf growth is very stunted. At temperatures smaller than 25 0C pomfret fish only survive for 2 weeks but tilapia fish can survive and not die in these environmental conditions. The length of the tilapia fish for 6 weeks has increased by 5 cm from its original length
Pengendalian Emergency Lowering System (ELS) Pada Lift 3 Lantai Irham Hasby Mukamal; Arif Sumardiono; Artdhita Fajar Pratiwi
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.2928

Abstract

Power outages in multi-storey buildings can cause elevators to stop operating and pose safety risks to users. One effective solution to address this issue is the implementation of an Emergency Lowering System (ELS), which enables the elevator to move to the nearest floor when the main power supply fails. This study aims to design and evaluate an Emergency Lowering System (ELS) for a three-floor elevator based on an Arduino Mega, equipped with a backup power system using an inverter and battery, as well as load monitoring using a load cell sensor. The research methodology includes hardware and software design, load cell sensor calibration, and system testing under various load conditions and power outage scenarios. The experimental results show that the ELS is capable of transferring the power source with an average switching time of less than 5 seconds. The load cell measurement error was recorded at 0.16%, indicating reliable load detection. Consequently, the elevator can be safely lowered to the nearest lower floor during a power failure. These results demonstrate that the developed ELS system has strong potential to enhance the safety and operational reliability of small-scale elevators, particularly in low-rise buildings.
Sistem Global Positioning System (GPS) Tracking Pendaki Gunung Menggunakan Komunikasi LoRa Zaenurrohman; Arif Sumardiono; Erna Alimudin; Adrian Ramdhan; Hera Susanti
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

Mountain climbing activities involve a high risk of hikers becoming lost due to limited location information and the lack of reliable cellular network coverage in mountainous areas. This study aims to develop an Internet of Things (IoT)-based GPS tracking system utilizing Long Range (LoRa) communication to support real-time hiker location monitoring and emergency notification in cellular network blind-spot areas. The proposed system consists of an ESP32-based transmitter equipped with a GPS module, an SX1262 LoRa module, and an emergency push button, a LoRa gateway as the receiver, and a web-based monitoring platform for real-time location visualization. System performance was evaluated through GPS accuracy testing, emergency response time measurement, and LoRa communication performance in both urban environments and the Mount Slamet hiking trail. The experimental results indicate that the GPS positioning error ranges from 7.25 to 9.16 m, with an average error of 8.25 m. The emergency notification system achieved a 100% transmission success rate with a response time of 20–22 s. Communication testing demonstrated that LoRa provided reliable data transmission over distances of up to approximately 300 m in urban environments, while communication quality degraded at longer distances due to reduced Received Signal Strength Indicator (RSSI), increased packet loss, and the effects of terrain, vegetation, and Line-of-Sight (LoS) conditions along the hiking trail. These results demonstrate that the proposed system is capable of providing reliable location monitoring and emergency communication in areas with limited cellular coverage, making it a promising solution for supporting Search and Rescue (SAR) operations in mountainous environments.
Desain dan Implementasi Reverse Vending Machine Botol Plastik Menggunakan Mikrokontroler dan Smartphone Thoriq Al Mubarok Nur Khoiri; Arif Sumardiono; Supriyono Supriyono
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

The growing issue of plastic bottle waste necessitates technological innovation to support recycling programs. This research involved developing a Reverse Vending Machine (RVM) prototype capable of identifying plastic bottle sizes, accompanied by a smartphone application for users. The application was designed to track the number of plastic bottles deposited, manage the resulting credit balance, and facilitate purchases using that balance. Transactions are conducted via a barcode system for items provided by the RVM owner. A prototype engineering method was employed to design and implement the RVM system. Following the design phase, the RVM was implemented and functionally tested. Testing covered the three ultrasonic sensors used in the bottle scanning system, the bottle size identification system, communication between the RVM and the application, and the application's transaction capabilities using the accumulated credit. Test results demonstrated accuracy rates of 98.82%, 98.28%, and 98.63% for the three ultrasonic sensors, confirming their suitability for the bottle scanning system. The RVM system successfully classified bottles in the 500–700ml and 1.5L ranges, utilizing samples comprising four size categories and seven plastic bottle brands. Furthermore, the results confirmed successful communication between the RVM and the application, as well as the application's functionality for processing transactions.