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Journal : Infotekmesin

Rancang Bangun Monitoring Early Warning System Bencana Banjir Berdasarkan Ketinggian Aliran Sungai Mengunakan Modem SIM900 dan Internet of Things Sumardiono, Arif; Alimudin, Erna; Zaenurrohman; Susanti, Hera
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.1019

Abstract

The rainfall in the Cilacap region is high, about 80-100mm in October-March. The high rainfall that causes the overflow of river water is unpredictable. The high water discharge is not realized until the river water overflows and causes flooding. Therefore, a river water level monitoring system is needed to detect river overflows early. This tool uses a solar cell as a power supply. The monitoring system is divided into two points of river water level monitoring system with a distance between points for the laboratory scale stage, which is 100 meters. Sensors that measure the height of river flow are ultrasonic sensors. The sensor results are processed by microcontroller and SIM 900 L module to be sent to the database. When the water level is in the Alert level 3, the buzzer will sound as a warning. The ultrasonic sensor test results have a very small error. Sensor 1 has an average error of 0.00023% and ultrasonic sensor 2 has an error of 0.00016%. The system is able to transmit river water level data that can be accessed through the website.
Aplikasi Android untuk Menghitung Sistem Pencahayaan dan Sistem Pengkondisian Udara Prasetia, Vicky; Susanti, Hera; Mardiyana, Mardiyana
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2162

Abstract

Optimal lighting and air conditioning are factors that support the feasibility and comfort of a room. Lighting and air conditioning requirements refer to the provisions contained in the Indonesian National Standard (SNI). The selection of lamps for lighting, Air Conditioner (AC) and Exhaust Fan for air conditioning needs to be adjusted to the needs of the room so that the device can work optimally and efficient electrical energy. The design of lighting needs and room temperature comfort is still done manually, resulting in inefficiency in the building design process. Therefore, this research aims to build an Android application to calculate indoor lighting and air conditioning needs. This research methodology includes identifying lux value standards, room position, and air exchange standards based on room type. Furthermore, an Android application is created that can calculate the need for lamp brightness and air conditions according to the applicable formula. The calculation results are displayed on an Android application that can be operated via a smart phone. This application was tested in several types of rooms with different conditions. The calculation results on the application are compared with manual calculations and proven to be accurate. This research has successfully created an Android application that can help users to design lighting and air conditioning needs efficiently and effectively.
Desain Pompa Air Tenaga Surya Untuk Fasilitas Publik Dengan Software Pvsyst Prasetia, Vicky; Susanti, Hera; Yusuf, Muhammad; Widianingsih, Betti
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2726

Abstract

Solar energy has great potential as an alternative energy source in Indonesia, but its application for water pump systems in public facilities such as railway stations remains limited. This study aims to design a solar-powered water pumping system (PATS) to meet the water demands at Kroya Station using PVsyst software. The methodology includes site analysis, calculation of daily water requirements, power estimation, and system simulation using PVsyst. The simulation results indicate that the designed system meets 97.5% of the annual water demand of 2,555,000 liters, with a solar panel efficiency of 80.4% and a pump efficiency of 18.5%. The novelty of this study lies in the design of a PATS system for a railway station using simulation-based analysis with PVsyst—an approach not widely applied in public transportation facilities. These findings offer a technical basis for environmentally friendly and sustainable solar pump system planning.
Rancang Bangun Alat Estimasi Nilai Lumen Lampu Berbasis Internet of Things dengan Aplikasi Android Blynk Ardiansah, Feri; Prasetia, Vicky; Susanti, Hera; Rafiq, Arif Ainur; Riyanto, Sugeng Dwi
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.v17i1.2867

Abstract

The development of lighting technology, particularly LED lamps, drives the need for light intensity testing (lumen) to ensure quality and energy efficiency. The SNI IEC 62612:2016 standard establishes testing parameters that must be met, but field testing processes are still largely manual and inefficient. This research aims to design and realize an Internet of Things (IoT)-based lamp lumen value testing tool with results displayed on an Android application as a practical and automated solution. The tool is designed according to the SNI IEC 62612:2016 standard, equipped with a BH1750 sensor to measure light intensity (lux), a PZEM-004T sensor to measure voltage and current, and an MLX90614 sensor to measure lamp surface temperature. The testing process is performed automatically using a NodeMCU ESP32 microcontroller, with measurement results displayed on a 20x4 LCD and transmitted to the Blynk application on Android in real-time. Testing on 16 LED lamp samples from various brands and powers showed that the system has high accuracy with average BH1750 sensor accuracy of 98.78%, MLX90614 sensor accuracy of 99.74%, PZEM-004T sensor accuracy for voltage of 99.9% and current 100%, as well as error-free data transmission to Android applications. This tool successfully performs lumen testing automatically, accurately, and efficiently according to national standards.