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INDONESIA
Faktor Exacta
Published by Universitas Indraprasta PGRI
ISSN : 1979276X     EISSN : 2502339X     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Faktor Exacta is a peer review journal in the field of informatics. This journal was published in March (March, June, September, December) by Institute for Research and Community Service, University of Indraprasta PGRI, Indonesia. All newspapers will be read blind. Accepted papers will be available online (free access) and print version.
Arjuna Subject : -
Articles 5 Documents
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Search results for , issue "Vol 18, No 3 (2025)" : 5 Documents clear
Implementasi Fuzzy Inference System untuk Pengstabilan Arus pada Baterai Lithium di Electric Vehicle Imron, Arizal Mujibtamala Nanda; Utomo, Satryo Budi; Darmawan, Dimas Aldy; Kaloko, Bambang Sri; Fitri, Zilvanhisna Emka
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.26372

Abstract

The application of renewable energy in electric vehicles (EVs) is a crucial aspect that requires careful consideration. It is essential to understand the capacity characteristics of lithium polymer batteries to develop effective testing procedures. These procedures should involve monitoring the battery's voltage, current, and temperature during the discharge process with a lamp loading of 5 watts. The results of research prove that fuzzy control is an effective method for minimising the increase in battery temperature by stabilising the current used by the battery. The fuzzy control system effectively regulated a battery with a capacity of 3300 mAh and a voltage of 11.1 Volts, maintaining a stable current of 0.3 A from the 3rd minute until the battery reached its maximum capacity at the 63rd minute. Furthermore, the implementation of fuzzy control has been observed to delay the temperature rise in the battery. Specifically, the use of fuzzy control enables a delay in the temperature rise time by approximately 14 minutes when compared to the system without control. The temperature rise has a significant impact on the discharge speed of lithium polymer batteries.
Implementasi Sistem Otomatisasi Internet of Things Sebagai Penghematan Energi Listrik Pada Lampu LED-14 Base On Mikrokontroler ESP8266 (NodeMCU) Dan Bot. Telegram Di Perumahan Griya Sutera Balaraja Sumaedi, Ade; Hadriani, Angelina; Suhendi, Agus
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.26971

Abstract

Increasing electrical energy efficiency has become one of the primary focuses in current technological development. This research aims to design and implement an Internet of Things (IoT)-based automation system to reduce electricity consumption for LED-14 lamps in Perumahan Griya Sutera Balaraja. The system integrates ESP8266 (NodeMCU) microcontroller with Android applications and Telegram bot as remote communication and control platforms. Through the Android application and Telegram bot, users can control and monitor the lamp status in real-time, enabling more effective energy savings and responsiveness to user needs. The author leverages internet/Wi-Fi advancements and the Android system to create a system that is quick, precise, and accessible from anywhere, at any time. The development of the automation design for On/Off LED-14 lighting based on Internet of Things (IoT) simplifies human activities. The research method begins with designing the physical form or Hardware System using NodeMCU 8266 microcontroller connected to the internet network using Arduino IDE programming software. The design results demonstrate significant reduction in electricity consumption by ensuring lamps are only lit when needed. Moreover, integration with Telegram bot facilitates ease of control and monitoring, making this system an effective and efficient solution in managing electricity usage.
Prediksi Churn Pelanggan B2B dengan Segmentasi Menggunakan Bisecting K-Means dan Long Short-Term Memory Wardina, Khairina; Rahmat, Ade; Syafrullah, Mohammad
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.27087

Abstract

In the competitive B2B sector, customer churn is a key challenge, particularly for a Fast-Moving Consumer Goods (FMCG) distribution company in North Sulawesi. From 2019 to 2022, the company's churn rate continued to rise despite efforts to reduce it. This study addresses the challenge of identifying churn in a non-contractual context by combining Bisecting K-Means for customer segmentation and Long Short-Term Memory (LSTM) for churn prediction based on monthly revenue. The Bisecting K-Means algorithm produced three clusters with a Davies-Bouldin Index (DBI) of 0.46, indicating effective segmentation. The LSTM model achieved a validation accuracy of 96% and a test accuracy of 95%, with an AUC-ROC of 97%. Results show that cluster 1 has the highest churn rate at 100%, followed by cluster 2 at 16.31%, and cluster 0 with the lowest at 3.21%. Out of 5,163 customers in the test data, 920 were identified as churned.
Application of Extreme Programming in the Design and Development of a Web-Based Inventory Information System at the Kerinci District Communication and Information Office Kesuma, Eastyanda Putra; Khaira, Ulfa; A, Muhammad Razi
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.27532

Abstract

The management of inventory at the Department of Communication and Informatics in Kerinci Regency faced challenges due to centralized processes and the limitations of the existing desktop-based application, the Regional Management Information System, which did not meet user needs. To address this, a web-based inventory management system was developed to enhance operational efficiency, data accuracy, and real-time accessibility. The system was built using the Extreme Programming method over two iterations. The first iteration focused on inventory data management, item categorization, and asset history tracking, while the second iteration introduced features for reporting asset conditions, data validation, and recap reports. The development process included planning, design, coding, and testing phases. User acceptance testing and performance testing were conducted to ensure system quality and user satisfaction. The results demonstrated that the system functioned effectively, met user requirements, and supported efficient inventory management. This system is expected to improve transparency, operational efficiency, and public services at the Department of Communication and Informatics in Kerinci Regency.
Penerapan Project Management Pada Proyek Sistem Penjualan Motor Berbasis Geografik Erdiansyah, Dian
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.25777

Abstract

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