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Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Published by Universitas Telkom
ISSN : 27234371     EISSN : 27235912     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
COMPLETE (ISSN 2723-4371, E-ISSN 2723-5912) is a national open scientific journals which seeking innovation, creativity, and novelty. Either letters, research notes, articles, supplemental articles, or review articles in the field of Electrical, Computer, and Telecommunication technology. Scope of the journal include : - Technology utilization of maritime resources - Strengthening infrastructuremaritime - Technology and management safety transportation - Industrial strengthening technology transportation - Supporting infrastructure and transportation system - Operational efficiency - Electronics technology - Telecommunication technology - Computer technology - System security - Advanced robotics technology - Technology and disaster management - Advanced power electronics - Application of power system - Renewable energy - Chips technology - Smart iot devices - 5g technology and ecosystems - Technology and management environment This journal published twice a year, in July and December. Editors invite research lecturers, the reviewer, practitioners, industry, and observers to contribute to this journal. The language used in the form of Indonesian and English. The author will not be charged any fees in the publication process.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 71 Documents
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Water Monitoring and Control System in Krofta System with Fuzzy Logic Method Ramadani, Yury Novian; Ryan Yudha Aditya; Ii Munadhif; Isa Rachman; Eng Imam Sutrisno; Muhammad Khoirul Hasin
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.660

Abstract

Krofta is a water purification technology widely used in industries, particularly in paper and tissue manufacturing. In this study, a Fuzzy logic-based control method is applied to the input and output parameters of the system. The developed system utilizes a Sugeno Fuzzy system with three main inputs: TSS (Total Suspended Solids), pH, and temperature, and an output parameter in the form of PWM (Pulse Width Modulation) to control the booster pump for injecting chemicals to maintain water quality. The water purification process involves the injection of a chemical agent, specifically a fennopol solution, which is pumped by a booster pump. The booster pump is controlled by an AC Dimmer module driver based on the PWM output generated by the Fuzzy method. During this process, data from each parameter is recorded in real-time using a MySQL database and displayed via a web interface, with both components interconnected. Based on the research findings, the accuracy results for the sensors are as follows: the temperature sensor has an average error of 2.736%, the pH sensor has an average error of 1.742%, and the TSS sensor has an average error of 4.10%. For the PWM parameter, the system achieves highly accurate PWM values, effectively optimizing the tested water parameters. In conclusion, the Sugeno Fuzzy method demonstrates an average accuracy of 97.1% in monitoring and controlling the system to support decision-making processes.
Power Factor Correction on 500W Inverter Microcontroller-Base Using Particle Swarm Optimization Method Pristovani Riananda , Dimas; Adhitya, Ryan yudha; Maulana Ahmad Putra , Zindhu; Rahma Annisa , Aulia; Adiansyah Saputra , Arya
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.661

Abstract

This research explores the design and evaluation of an inverter system incorporating the Particle Swarm Optimization (PSO) method to enhance power factor efficiency. The study investigates the inverter’s performance across resistive loads (40W and 100W lamps), inductive loads (40W fan and 200W blenders), and a combination of resistive-inductive loads, both with and without PSO-based Power Factor Correction (PFC). By optimizing the phase difference between voltage and current, the PSO algorithm aims to maintain a power factor close to the industry standard of 0.85 or higher. The findings indicate that resistive loads consistently sustain a power factor of 1.00, while inductive loads benefit significantly from PSO implementation. The 40W inductive fan, initially operating at 0.55, improved to 0.57 – 0.60, whereas the 200W inductive blender increased from 0.90 to 0.98. Similarly, mixed resistive-inductive loads showed an enhancement from 0.89 to 0.99, emphasizing PSO’s role in improving power efficiency. The study recorded a total power factor improvement of 0.36, with an average increase of 0.0144 per test case, confirming PSO’s effectiveness in reducing reactive power losses and optimizing energy conversion. These results highlight the potential of PSO-based control strategies in enhancing power quality, stabilizing inverter performance, and improving energy efficiency, particularly in applications where inductive loads are predominant. The research contributes to the development of intelligent inverter systems that offer greater reliability, cost-effectiveness, and energy savings for residential and industrial power applications.
Water Quality Control System In Goldfish Aquarium Using Fuzzy Method Rizwansyach, Rizky; Hafidz, Isa; Latif, Chaironi
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.681

Abstract

Considering the beauty and unique characteristics of goldfish as ornamental fish, keeping goldfish in an aquarium is a popular hobby among the community. However, some people face challenges in maintaining goldfish that must be controlled manually. In this work, the author proposes to create a water quality control system for goldfish aquariums using fuzzy logic. This system uses the E-201-C pH sensor to measure the water's pH level, the SEN-0189 turbidity sensor to detect water turbidity, an ultrasonic sensor to maintain water height, and the ESP32 as the microcontroller. In the pH control, a mini pump is used, which activates when the pH level is >9 to lower the water's pH to the set point. Meanwhile, for controlling water turbidity, two 12V DC pumps are used, where one pump functions to discharge turbid water and the other to fill with clean water. The data read by the sensor can be monitored through the OLED screen. Based on the test results, the water quality control system for the goldfish aquarium using the fuzzy method can function well. Meanwhile, the water draining process takes 5 minutes and 20 seconds, and the clean water filling takes about 15 minutes and 24 seconds.
A Simple Modeling of MPPT-based ANN for Photovoltaic System Sholikhah, Evi Nafiatus; Aulia Rahma Annisa; Muhammad Rizani Rusli; Mentari Putri Jati
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.684

Abstract

This research describes a simple modeling technique for Maximum Power Point Tracking based on Artificial Neural Network (MPPT-based ANN) for photovoltaic (PV) systems. The proposed ANN model utilizes a feed-forward backpropagation architecture. The PV system was developed and tested in a simulation environment under uniform irradiation levels of 1000 W/m², 800 W/m², and 600 W/m², and rapidly varying irradiation changes. The simulation results demonstrate that the MPPT-based ANN accurately tracks the MPP, achieving stable power outputs of 98.36 W, 79 W, and 57.45 W, respectively. Although the system experiences initial transient oscillations during the tracking phase, it stabilizes within 80 milliseconds, showcasing rapid convergence and high steady-state accuracy. Under dynamic conditions, the MPPT-based ANN adapts effectively to fast-changing irradiation, restarting the algorithm to track and maintain the system at the updated MPP accurately. These results highlight the reliability, adaptability, and suitability of the MPPT-based ANN for real-time applications in dynamic environments. Nonetheless, further improvements to the ANN model are suggested to minimize transient oscillations and enhance overall performance.
Wi-Fi Enabled Remote Control Surveillance Vehicle: Design, Implementation, and Performance Analysis Junita, Junita; Setiadi, Nicholas Kevin
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.690

Abstract

The rapid advancement of wireless technology has expanded the possibilities for remote-controlled systems, particularly in surveillance and safety applications. This study aims to develop a 4G-enabled remote surveillance vehicle using a Raspberry Pi 4 Model B microprocessor to achieve long-range control and real-time visual feedback. The vehicle integrates a Raspberry Pi 4 with two Electronic Speed Controllers (ESCs) connected to three gearbox motors for movement, along with an OV5647 camera module mounted on a 2-axis gimbal controlled by MG90S servos. The system is programmed in JavaScript using Node.js and Visual Studio Code, enabling a webserver for bidirectional communication between the vehicle and the controller. Key tests demonstrated a maximum operational range of 1.11 km, with the potential for further distance as connectivity permits. The vehicle exhibited an average battery life of 46 minutes and a latency of approximately 49 ms under stable 4G conditions. Additionally, it successfully traversed diverse terrains, including gravel and sand. The findings highlight the vehicle's capability for remote surveillance in hazardous or inaccessible environments, reducing human risk. Future enhancements could include integrating additional sensors for broader applications. This research underscores the feasibility of using cost-effective, off-the-shelf components to build a robust, long-range surveillance system
Fan Speed Level Control Using Three-Language Voice Commands Based on YAMNet Audio Classification in Deep Learning Heri Pratikno; Giga Razki Arianda; Pauladie Susanto; Musayyanah
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.725

Abstract

The process of interaction between humans, computers, and electronic equipment can now be made more interactive, natural, and intuitive. In several previous studies, this interactive process was carried out through sensors or detection of finger gestures using computer vision based on MediaPipe. In this research, we designed and built a system that can control the fan rotation speed level using voice commands from three languages, namely Indonesian, English, and Javanese in real time through an audio classification process with YAMNet. The research results in the training process with 15 epochs had 100% accuracy, loss 0.46, ROC curve class 0 (fan off) was 100%, class 1 (low rotation fan) was 100%, class 2 (medium rotation fan) was 99%, and class 3 (high rotation fan) was 100%. Meanwhile, the results of testing the subset test dataset model using 15 epochs for all commands produced a percentage value of 97.5%.
SIM Puskesmas: An Integrated Management Information System for Administration, Doctor Consultations, and Web-Based Pharmacy Services at UPT Karang Anyer Using Research and Development (R&D) Approach Mevia, Nazwa Aidlia Octa; Marbun, Yohana Kartika; Niska, Debi Yandra; Gultom, Jonatan Rio
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.737

Abstract

Primary health care facilities such as Community Health Centers (Puskesmas) still face challenges of inefficiency and the risk of human error due to manual data collection processes. This study aims to develop and implement a web-based Community Health Center Management Information System (SIM-PUSKESMAS) in Karang Anyer to improve service efficiency and accuracy. The study used a Research and Development (R&D) approach. The system design was carried out through Unified Modeling Language (UML) modeling, and the system implementation used web-based PHP and MySQL technologies in the XAMPP environment. The results showed the successful implementation of SIM-PUSKESMAS with role-based access rights (Admin, Doctor, Pharmacist, Patient). The main functional pages developed include Queue Management, SOAP-based Medical Records (Subjective, Objective, Assessment, Plan), Pharmacy Management, and Reports/Referrals. Comparison with conventional systems shows that this digital system significantly improves the speed of service and the accuracy of clinical data. It can be concluded that SIM-PUSKESMAS Karang Anyer is effective in ensuring data integrity, supporting better governance through instant reporting, and is a concrete step towards the digitalization of sustainable and quality health services.
Application Of TF-IDF And Word2vec For Feature Extraction In Sentiment Analysis Of Free Nutritious Food Policies Rahmatullah, Alam; Annisa, Qisthi
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.741

Abstract

The free nutritious meal policy has become a hot topic of discussion among the public because it is related to improving health and education quality. However, its implementation has given rise to a variety of pros and cons that need to be analyzed systematically. This study aims to analyze sentiment toward the policy by utilizing Term Frequency–Inverse Document Frequency (TF-IDF) and Word2Vec as feature extraction methods on public review data obtained from social media X. After undergoing preprocessing and automatic labeling, the data was classified into positive and negative sentiments using the Support Vector Machine (SVM) algorithm. The analysis results  how that the sentiment data is unbalanced, with the positive class dominating at 75% and the negative class at 25%. In model testing, TF-IDF achieved an accuracy of 81%, while Word2Vec achieved an accuracy of 80%. This difference shows that TF-IDF is more stable in handling short and informal texts, while Word2Vec still has the potential to capture the semantic context between words. This research opens up opportunities for further research, it is recommended to balance the data between classes and combine the TF-IDF and Word2Vec methods, or use a deep learning approach such as BERT to obtain more accurate results and capture deeper semantic context.
IoT-Based Battery Monitoring System for Lithium-Ion using Fuzzy Logic Method Ardika Bagus Saputra; Isa Hafidz; Susijanto Tri Rasmana
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.746

Abstract

The increasing number of vehicles in Indonesia has a negative impact if it is allowed to continue; one solution is to switch to environmentally friendly electric vehicles. One of the main components of electric vehicles is the battery. IoT-based battery monitoring is needed to check battery health using the fuzzy logic method with LED notification results. Notifications indicate whether the battery is in a safe, alert or dangerous condition. The results of battery monitoring in a discharge condition with a load of battery voltage decrease linearly compared to temperature, which changes according to the ambient temperature. In a charging condition, the battery voltage increases linearly, and the peak temperature is higher than when discharged with a load. When testing a load variation of 4 LEDs, the voltage decreases faster, and the temperature rises higher than with a load of 2 LEDs. With these various conditions, the application of fuzzy logic is used to monitor the condition of the battery in a discharge or charge state. This study aims to develop IoT-based battery monitoring by implementing the use of fuzzy logic as a battery notification when the battery is in a safe, alert, or dangerous state. This battery monitoring system can monitor the battery in real time and is quite accurate by using IoT, which can facilitate battery monitoring.
Basic Application of Business Intelligence in making E-Commerce Buyer Dashboard Indonesian Using Tableau Tools Development Anandri, Uya Asy Syuura; Abdullah
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.747

Abstract

This research examines the implementation of Business Intelligence (BI) for the creation of an Indonesian e-commerce buyer dashboard in 2024 with the aim of increasing the visibility of operational KPI and demonstrating a reproducible pipeline from data cleaning to visualization. The main issues addressed are the quality of order-level data (provincial writing variants, date format, numerical values, and PII anonymization) as well as the need to calculate buyer metrics (unique buyers, repeat rate) which is rarely ava1ilable in public aggregate data. The methods used include: (1) data cleaning and harmonizing using OpenRefine; (2) numerical transformation and validation with Python (pandas); (3) creating interactive worksheets and dashboards in Tableau (sales map per province; monthly trend line; bar with avg sales per product; sales pie by gender); and (4) sensitivity analysis to assess the impact of cleaning step variation on buyer-level KPI. Using the order-level dataset of cleaning results (1,000 transactions), a total revenue of Rp 2,298,975,000, 1,000 orders, and 178 unique buyers were found; seasonal patterns were seen with a peak in the fourth quarter and revenue concentration in urban areas (DKI Jakarta, West Java). The top-10 products contribute a significant portion of revenue, and repeat buyers show an important role in the sales structure

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