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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Elkom: Jurnal Elektronika dan Komputer Journal of Telematics and Informatics Jurnal Teknik Elektro dan Komputer TRIAC Infotronik : Jurnal Teknologi Informasi dan Elektronika Infotekmesin Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science Journal of Energy and Electrical Engineering (JEEE) Madani : Indonesian Journal of Civil Society Journal of Electrical Engineering and Computer (JEECOM) Jurnal Jaringan Telekomunikasi E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Urecol Journal. Part E: Engineering
Zaenurrohman Zaenurrohman
Politeknik Negeri Cilacap
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Handling missing values and clustering industrial liquid waste using K-medoids Maharrani, Ratih Hafsarah; Abda'u, Prih Diantono; Ikhtiagung, Ganjar Ndaru; Rahadi, Nur Wahyu; Zaenurrohman, Zaenurrohman
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1411-1420

Abstract

The textile industry is a significant contributor to environmental pollution due to its wastewater, which contains hazardous substances such as dyes, heavy metals, and chemicals that can severely harm aquatic ecosystems. Effective management of this wastewater is crucial to mitigate its environmental impact. This study focuses on classifying industrial liquid waste data using the K-medoids clustering method, chosen for its robustness to noise and outliers compared to K-means. To address challenges in wastewater data processing, such as missing values and varying data scales, two approaches are compared: replacing missing values with zero and K-nearest neighbors (KNN) imputation, alongside Z-score normalization for data uniformity. The clustering quality is evaluated using the Davies-Bouldin index (DBI) for cluster variations of k=2, 3, 4, and 5. The results show that the best clustering quality is achieved at k=2, with the smallest DBI values obtained using KNN imputation (0.139) and zero replacement (0.149). The superior performance of KNN imputation highlights its effectiveness in handling missing data. These findings provide valuable insights into the characteristics of textile industry wastewater pollution, offering a robust framework for effective wastewater management. The study concludes with practical recommendations for policymakers and industry stakeholders to adopt advanced data-driven approaches for sustainable wastewater treatment strategies.
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.
Monitoring Konsumsi Daya Listrik Menggunakan Google Spreadsheet Zealita, Zarah; Prasetia, Vicky; Zaenurrohman
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2523

Abstract

The lack of detailed information on the daily electricity consumption of each electronic device can hinder the accurate calculation of electricity consumption costs. This can affect the accuracy and ease of access to electricity consumption data. This research aims to develop an electric power reading system using the PZEM-004T sensor, an electricity power monitoring system, and the cost of electricity usage through Google Sheets. The system is designed to measure current, voltage, power, and electricity costs with high accuracy. The test results show that the KWH meter reading system can measure electricity consumption using the PZEM-004T sensor with accuracy values of 99.805% for voltage (volts), 89.71% for current (amperes), and 99.98% for power (watts) in each test. The data from the sensor monitoring system and cost calculations can be effectively displayed on Google Sheets, which functions well for measuring and displaying data for current, voltage, power, and electricity billing.
Analysis of Water Quality Parameters on the Survival Rate of Vannamei Shrimp using the Random Forest Method Prih Diantono Abda'u; Ratih Hafsarah Maharrani; Zaenurrohman; Adrian Putra Ramadhan
Jurnal E-Komtek Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2215

Abstract

This study developed a predictive model based on Random Forest algorithm to predict survival rate of Vannamei shrimp using five water quality parameters: dissolved oxygen (DO), temperature, pH, salinity, and Total Dissolved Solids (TDS). The model was trained on this data and evaluated using Mean Squared Error (MSE) and R² Score, with an MSE of 0.71 and R² Score of 1.00. Endpoint testing was conducted using Postman to verify the model response, with output parameters including anomaly_detected, recommendation, and survival rate. The model successfully detected anomalous conditions and provided recommendations according to the detected water quality parameters. Test results showed that DO and salinity had the greatest influence on survival rate, while pH, TDS, and temperature made moderate contributions.
Penerapan Sistem Jalan Umum Pintar Berbasis Arduino dengan Supply Tenaga Surya di Desa Banjarwaru Fadhillah Hazrina; Erna Alimudin; Riyani Prima Dewi; Zaenurrohman Zaenurrohman; Artdhita Fajar Pratiwi; Sugeng Dwi Riyanto; Purwiyanto Purwiyanto
Madani : Indonesian Journal of Civil Society Vol. 8 No. 1 (2026): Madani : Februari 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v8i1.3132

Abstract

Banjarwaru Village in Cilacap Regency is facing problems related to the lack of Public Street Lighting (PJU), with several vital road sections being dark at nite. This condition significantly reduces safety levels, increases the risk of crime and accidents, and hinders the mobility and socio-economic activities of the community. Residents, especially women and children, feel unsafe to go outside, which impacts religious, social, and economic activities. Responding to this urgency, this community service program aims to improve the quality of life and well-being of the Banjarwaru Village community through the application of appropriate technology. The proposed solution is the installation of two units of an Arduino-based smart street lighting system powered by solar energy. The implementation method for this service involves field observation and experimentation in the design and construction process of public streetlights, and technology transfer to the community. The results of creating a smart public street light based on Arduino with solar power supply function well. At night, electricity is supplied by batteries. The batteries are charged during the day, when the solar cells receive sunlight. The final activity in this series of community service, and the closing event, was the handover and guidance to the Banjarwaru community, thru the Village Head of Banjarwaru, on how the smart public street lighting system powered by solar energy works and how to maintain it.
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.
Co-Authors Adrian Putra Ramadhan Adrian Ramdhan Agus Santoso Alimudin, Erna Anna Nurdiasari Arif Sumardiono Arif Sumardiono Desyandri Desyandri Erna Alimudin Erna Alimudin Erna Alimudin Fadhillah Hazrina Fadhillah Hazrina Firman Burhani Hazrina, Fadhillah Hendi Purnata Hera Susanti Hera Susanti Hera Susanti, Hera Ikhtiagung, Ganjar Ndaru Julian Nurachman Wijaya Mafaza Harris, Ridho Ihsan Maharrani, Ratih Hafsarah Mohamad Iqbal Husain Novita Asma Ilahi Prasetia, Vicky Prih Diantono Abda'u Prih Diantono Abda`u Purwiyanto Purwiyanto Rahadi, Nur Wahyu Ratih Hafsarah Maharrani Rio Guntur Dany Rafi Riyadi Purwanto Riyani Prima Dewi Saepul Rahmat Saepul Rahmat Saepul Rahmat Sugeng Dwi Riyanto Sumardiono, Arif Supriyono Supriyono Susanti , Hera Susanti, Hera Utis Sutisna Zealita, Zarah