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Isa Hafidz
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Fakultas Teknik Elektro, Institut Teknologi Telkom Surabaya Ketintang Str. No. 156, Surabaya, East Java 60231
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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 6 Documents
 1 
Search results for , issue "Vol. 6 No. 2 (2025): December" : 6 Documents clear
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
Design and Implementation of a 16-Electrode Electrical Impedance Tomography Data Acquisition System for Medical Imaging Nofrianto, Aldo; Audy; Wardani, Aditya
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.v6i2.752

Abstract

Electrical Impedance Tomography (EIT) is a non-invasive imaging modality that reconstructs the internal resistivity distribution of an object using electrical measurements acquired from boundary electrodes. This paper presents the design, implementation, and experimental validation of a 16-electrode EIT data acquisition system for medical imaging applications. The developed system consists of a signal generator, voltage-to-current converter (VCC), voltage measurement circuit, multiplexer/demultiplexer unit, microcontroller, and image reconstruction algorithm. Experimental evaluations were conducted to assess signal stability, current injection performance, and voltage measurement accuracy. The XR2206 signal generator produced stable output over a frequency range of 1 to 210 kHz with an output impedance of 0.0784 kohm. The LF412-based amplifier demonstrated linear operation up to 50 kHz, while the VCC generated stable injection currents ranging from 0.3 to 2 mA for load variations between 100 to 2000 ohms, with optimal stability at 10 kHz. Data acquisition was performed using the adjacent method on a 16-electrode phantom containing bovine bone as a resistive object. Image reconstruction using the iterative Newton-Raphson method with Tikhonov regularization successfully identified the position and boundaries of the object. The optimal imaging performance was achieved at an injection current of 0.3 mA and a frequency of 10 kHz. Overall, the system shows reliable imaging.

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