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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics JKTP: Jurnal Kajian Teknologi Pendidikan Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Journal of Engineering and Scientific Research (JESR) JURNAL ILMIAH GLOBAL EDUCATION Cakrawala: Jurnal Pendidikan Electron: Jurnal Ilmiah Teknik Elektro Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Komputasi
Helmy Fitriawan
Universitas Lampung
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Pemetaan Posisi Perokok pada Suatu Ruangan Menggunakan Metode K-Nearest Neighbor (KNN) Anisa Ulya Darajat; Muhammad Qutham Najmi Abdillah; FX Arinto Setyawan; Helmy Fitriawan
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 7 No 1 (2026): Jurnal Electron, Mei 2026
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v7i1.505

Abstract

Due to the high prevalence of smoking among individuals aged 15 and older in Lampung Province and limited enforcement of smoke-free areas, a system was developed to detect and map smoker locations within a 4 × 3.42-meter room using four MQ-7 sensors. The K-Nearest Neighbor (KNN) algorithm classified smoke source locations based on carbon monoxide (CO) concentrations across four designated observation zones. Experimental results indicated that the system had an average sensor reading error of 2.041%. The classification process for smoker positions achieved 93.75% accuracy and displayed smoker locations in Zones 1, 2, 3, and 4 on a dashboard map. Detection and classification data were stored in the InfluxDB database and visualized online using Grafana. The system also delivered real-time values in parts per million (ppm), the status of each zone, and a ten-minute history of ppm values
Analysis of Mill Motor Speed on the Sugar Value in Bagasse Using the Fuzzy Logic Method at the Sugar Factory of PT. Pratama Nusantara Sakti Ricky Rachman Nursa; Helmy Fitriawan; Sri Ratna Sulistiyanti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1130-1142

Abstract

The Indonesian sugar industry faces a serious challenge in the form of low efficiency in sugarcane milling, which is indicated by the high pol value in bagasse. This condition indicates that a considerable amount of sugar remains trapped in the bagasse, resulting in sugar losses and reduced productivity. One of the operational factors contributing to this phenomenon is the rotational speed of the mill motor, as non-optimal speed can affect the level of juice extraction and the amount of sugar remaining in the bagasse. Therefore, this study aims to analyze the effect of mill motor rotational speed on the pol value of bagasse and to optimize this parameter using the fuzzy logic method. The fuzzy system was designed to process machine variables (motor speed and motor load) as well as supporting factors (moisture content, temperature, service life, and harvesting age) through inference rules based on membership functions. Results show that most fuzzy predictions are consistent with the actual data from the quality control division, with a high level of accuracy indicated by an RRMSE of 7.84%, MAE of 0.0603, and MAPE of 3.34%. These findings demonstrate that fuzzy logic is capable of handling uncertainty and the complexity of variables in the milling process, while also providing a practical solution to reduce sugar losses, improve quality, and enhance the productivity of the national sugar industry.
Identifikasi Karakteristik Suhu Pada Kesehatan Baterai litium-ion Berbasis Citra Thermal Perdana Agung Nugraha; Sri Ratna Sulistiyanti; F.X. Arinto Setyawan; Helmy Fitriawan; Lukmanul Hakim
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 1 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n1.2891

Abstract

Over the past few decades, the demand for environmentally friendly energy has led to an increase in the use of energy storage technologies such as batteries. One type of battery that is widely used is the lithium-ion battery because it has high durability, high energy density, and is lightweight. However, this battery is sensitive to extreme conditions such as high temperatures and excessive charging or discharging, which can affect battery health. This study aims to determine the health condition of lithium-ion batteries based on temperature characteristics from thermal images, as well as to evaluate the accuracy of a fuzzy logic system in predicting battery health status. The fuzzy logic system is used because it can handle uncertainty within varying temperature data ranges. The data used consists of 20 battery samples categorized into three groups: Healthy, Warning, and Unhealthy. The input parameters include the battery's operating temperature and the difference between the battery temperature and the ambient temperature. Evaluation was conducted using confusion matrices such as accuracy, precision, recall, and F1-score. The analysis results show that the fuzzy model has an accuracy of 84% and a precision rate of 84% for the Healthy category, 75% for the Warning category, and 93.75% for the Unhealthy category, as well as a recall evaluation of 91.30% for the Healthy category, 54.55% for the Warning category, and 93.75% for the Unhealthy category. These findings indicate that the fuzzy method is quite effective in monitoring battery health through temperature analysis.
Co-Authors Agus Trisanto Ahmad Surya Arifin Anisa Ulya Darajat Bambang Hermanto Bambang Sundari Tamtosutrisno Danny Mausa F X Arinto Setyawan Hery Dian Septana Isna oktadiani Lukmanul Hakim Mardiana Mardiana Mareli Telaumbanua Muhammad Iqbal Muhammad Qutham Najmi Abdillah Nandi Haerudin Niken Widyastuti Perdana Agung Nugraha Ricky Rachman Nursa Riswandi, Riswandi Rita Anggraini Rohimah Rohimah Setyawan, FX Arinto Siti Khodijah Sri Ratna Sulistiyanti Witaningsih Witaningsih