JITTER: Jurnal Ilmiah Teknologi dan Komputer
JITTER has been accredited by SINTA 4 (SK) under the SK number: 10/C/C3/DT.05.00.2025. The accreditation certificate for JITTER can be accessed at the following URL: https://drive.google.com/file/d/1kHTP_6R83o1Bvp3ERjGzI69tQ48ILihW/view Jurnal Ilmiah Teknologi dan Komputer (JITTER) is an electronic journal that displays the work of the academic community of the Department of Information Technology, Faculty of Engineering, Udayana University. Jurnal Ilmiah Teknologi dan Komputer (JITTER) presents scientific information, especially in the field of Information and Computer Technology based on studies and research. Jurnal Ilmiah Teknologi dan Komputer (JITTER), published by the Information Technology Study Program, Faculty of Engineering, Udayana University. The editors invite researchers, practitioners, and students to write about scientific developments in fields related to computer science and information technology. Jurnal Ilmiah Teknologi dan Komputer (JITTER), published 3 (three) times a year in April, August, and December. This journal contains research articles and scientific studies. All published manuscripts have passed the checking stage using Turnitin. However, all contents in the publication manuscript and its impact, are entirely the responsibility of the author/authors. JITTER telah terakreditasi SINTA 4 (SK) dengan nomor SK: 10/C/C3/DT.05.00.2025. Sertifikat akreditasi JITTER dapat dicek pada URL https://drive.google.com/file/d/1kHTP_6R83o1Bvp3ERjGzI69tQ48ILihW/view Jurnal Ilmiah Teknologi dan Komputer (JITTER) merupakan jurnal elektronik yang menampilkan karya civitas akademik Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana. Jurnal Ilmiah Teknologi dan Komputer (JITTER) menyajikan informasi ilmiah khususnya pada bidang Teknologi Informasi dan Komputer berdasarkan kajian dan penelitian. Jurnal Ilmiah Teknologi dan Komputer (JITTER), diterbitkan oleh Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana. Redaksi mengundang peneliti, praktisi, dan mahasiswa untuk menulis perkembangan keilmuan di bidang yang berkaitan dengan ilmu komputer dan teknologi informasi. Jurnal Ilmiah Teknologi dan Komputer (JITTER), diterbitkan 3 (tiga) kali dalam setahun pada bulan April, Agustus, dan Desember. Jurnal ini berisi artikel penelitian dan kajian ilmiah. Semua naskah yang dimuat, telah melewati tahapan pengecekan menggunakan Turnitin. Meski demikian, segala isi di dalam naskah publikasi dan dampaknya, sepenuhnya menjadi tanggung jawab penulis/para penulis.
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Implementation TOGAF ADM in XYZ High School Information System
This research aimed to apply the TOGAF Architecture Development Method framework in planning an information system architecture in a senior high school environment. The main problem faced by schools was the lack of integration between academic, administrative, and supporting service systems, which hindered effective data management and decision-making. This research used a case study approach with dummy data at SMA XYZ. The implementation of TOGAF ADM was carried out comprehensively from the Preliminary Phase to Opportunities and Solutions. The results showed that TOGAF ADM was able to produce a structured blueprint of business, data, application, and technology architectures aligned with the school’s vision and mission. The conclusion indicated that TOGAF ADM could serve as a strategic guideline for developing integrated and sustainable school information systems.
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Internet of Things (IoT) Based Electric Mouse Trap Using Telegram Application
An Internet of Things (IoT)-based electric rat trap integrated with the Telegram application is an intelligent system designed to detect and eliminate rodents automatically. By utilizing an internet connection, the device enables continuous communication between the trap and the user, allowing remote monitoring and control through the Telegram messaging platform. The system employs motion detection sensors to identify the presence of rats. Once movement is detected, the trap immediately sends a notification to the user via Telegram. These alerts can be accessed from smartphones, tablets, or other internet-connected devices, ensuring that users receive updates regardless of their location. Each notification provides useful information, such as the detection time, the trap location, and the number of rodents captured or detected. Through the Telegram interface, users can also remotely manage the trap by activating or deactivating it as needed. For example, the trap can be turned off after successfully capturing a rat or reactivated to continue monitoring the surrounding area. From a technical perspective, the system is built around a microcontroller combined with a wireless communication module, such as Wi-Fi or Bluetooth, to establish connectivity with the internet and the Telegram platform. This architecture allows real-time data transmission and enables users to supervise and operate the device remotely, making rodent control more practical, efficient, and convenient. One of the primary advantages of this IoT-based solution is its ability to provide continuous, real-time monitoring while maintaining direct communication between the trapping system and the user. As a result, users can respond promptly to rodent activity without needing to be physically present at the installation site, improving both response time and operational efficiency. In conclusion, an IoTenabled electric rat trap integrated with Telegram offers an innovative and effective approach to rodent management. By combining IoT technology, motion sensing, wireless communication, and remote access through Telegram, the system delivers real-time monitoring, instant notifications, and convenient remote control, resulting in a smarter and more efficient solution for rodent detection and capture.
Development of a Self Assessment Application to Measure Digital Forensics Readiness in Higher Education Institutions
The advancement of digital transformation in higher education institutions has increased the need for measurable digital forensics readiness, particularly in addressing the risks of data breaches, account misuse, cyberattacks, and the need for digital evidence preservation. This research aims to develop a self assessment application to measure digital forensics readiness in higher education institutions in a self-directed, structured, and indicator-based manner. The development method employs the System Development Life Cycle, which consists of six stages: requirement analysis, design, development, testing, deployment, and maintenance. The developed application features seven primary functional requirements: user login, indicator management, instrument completion, score calculation, readiness level classification, improvement recommendations, and results reporting. Additionally, the application meets five non-functional requirements: usability, reliability, security, maintainability, and portability. Testing results using black-box testing across seven test scenarios showed that all major features achieved a valid status. During the deployment phase, the application successfully generated a digital forensics readiness score of 3.2031 for the test institution HE1. These results demonstrate that the application is capable of performing the assessment process automatically, from instrument input, score calculation, maturity level determination, to the presentation of improvement recommendations. Thus, this self assessment application can be used as a self-evaluation tool to help universities map their digital forensic readiness levels, identify implementation gaps, and prioritize improvements in information security governance.
Arduino-Based Early Warning Prototype for Left Vehicle Key Indication Using SW-420
This study designed an early warning prototype system to prevent user negligence of leaving keys in the vehicle ignition. The system utilized an Arduino Uno microcontroller and a vibration sensor (SW-420) to monitor physical activity around the parked vehicle. The warning logic was configured to activate visual (light-emitting diode) and audio (buzzer) indicators if no vibration was detected for five seconds. Testing results showed that the sensor responded perfectly to high vibration (100%) and well to medium vibration (80%), but lacked sensitivity to low vibration (20%). In conclusion, the vibration-based early warning prototype successfully operated according to the designed delay timing, although its main limitation was the inability to physically detect the direct key position.
Mall Customer Segmentation Using DBSCAN with K-Distance Plot
Segmentasi pelanggan merupakan strategi penting bagi pengelola mall dalam memahami perilaku pengunjung dan merancang program pemasaran yang tepat sasaran. Penelitian ini bertujuan mengimplementasikan dan mengoptimasi algoritma DBSCAN (Density-Based Spatial Clustering of Applications with Noise) pada dataset Mall Customer Segmentation yang terdiri dari 200 data pelanggan dengan lima atribut. Optimasi parameter dilakukan secara sistematis melalui analisis k-distance plot dan eksperimentasi grid search pada 15 kombinasi parameter. Parameter optimal yang diperoleh adalah ε = 0,3 dan minPts = 4, menghasilkan 8 klaster pelanggan dengan persentase noise 11,5% dan Silhouette Coefficient sebesar 0,520 yang mengindikasikan struktur klaster yang cukup baik. Setiap klaster diinterpretasikan secara deskriptif menghasilkan profil bisnis yang bermakna, mulai dari pelanggan muda impulsif hingga segmen ultra-elite yang konservatif. Analisis terhadap 23 data outlier mengungkap pelanggan berpenghasilan tinggi (rata-rata 77,48 k$) dengan perilaku belanja yang sangat heterogen, merepresentasikan segmen potensial bernilai tinggi yang memerlukan pendekatan pemasaran sangat personal. Rekomendasi strategi pemasaran yang spesifik dirumuskan untuk setiap segmen yang teridentifikasi.
UI/UX Design of the HaloRT Application Using the Design Thinking Method
Administrative processes and security reporting at the Neighborhood Association (RT) level are generally still carried out using conventional methods. Digital transformation is often hindered by low adoption rates due to interface designs that lack inclusivity regarding the accessibility needs of elderly users. Therefore, this study aims to design the User Interface and User Experience (UI/UX) of the HaloRT application featuring a “Senior Mode” to enhance inclusivity, and to objectively evaluate its usability. A Design Thinking approach was applied through the Empathize, Define, Ideate, Prototype, and Test stages. The evaluation was conducted using the System Usability Scale (SUS) instrument involving 15 respondents from various age groups. The results indicate that the interactive prototype successfully mapped the residents' needs and integrated reporting, financial, and inclusive setting features. The SUS testing yielded an average score of 71.17, which falls within the Acceptable range with a Good rating. In conclusion, the HaloRT interface is proven to be inclusive, easy to navigate, and well-received across all ages, thus holding great potential to optimize the digitalization of RT administration on a sustainable basis.
Voice Frequency Analysis Based on Gender and Age Using FFT & FIR
This study aims to analyze the dominant frequency characteristics of human voices based on gender and year of birth using the Fast Fourier Transform (FFT) method and Python-based Finite Impulse Response (FIR) filters. The research data consisted of 90 human voice samples, namely 45 male respondents and 45 female respondents with a range of birth years 2002–2016. Each sample was processed through preprocessing, FFT transformation, and screening stages using a low-pass FIR filter with a cutoff frequency of 400 Hz. The results showed that the average dominant frequency of women's voice was higher than that of men, which was 377.630 Hz and 356.877 Hz. In addition, respondents with younger age tended to have a higher dominant frequency. The application of FIR filters also succeeded in improving signal quality by reducing noise, making frequency analysis more accurate.
Implementation of FTTH GPON Underground Network in Marigold Cluster
Abstrak Penelitian ini merancang jaringan Fiber To The Home (FTTH) berbasis Gigabit Passive Optical Network (GPON) dengan metode underground di Cluster Marigold. Tujuannya adalah mengatasi masalah kabel udara yang berantakan, risiko kecelakaan, dan polusi visual, sekaligus memenuhi etika teknik terkait keselamatan dan estetika. Menggunakan topologi tree dan konfigurasi two-stage splitting, infrastruktur ini menggunakan pipa HDPE dan 39 unit hand hole. Hasil pengukuran teknis melalui OTDR dan OPM menunjukkan daya terima antara -17,95 dBm hingga -18,71 dBm, sesuai standar ITU-T G.984. Dengan power margin rata-rata 8,65 dB, jaringan bawah tanah terbukti lebih andal dan minim gangguan fisik dibandingkan kabel udara. Inovasi ini memberikan kontribusi pada standar infrastruktur digital yang profesional, aman, dan berkelanjutan bagi masyarakat perkotaan. Kata kunci: FTTH, GPON, Jaringan, Redaman, Underground. Abstract This research designs a Fiber To The Home (FTTH) network based on Gigabit Passive Optical Network (GPON) using an underground method in the Marigold Cluster. The objective is to address issues related to messy aerial cables, accident risks, and visual pollution, while also complying with engineering ethics concerning safety and aesthetics. Using a tree topology and a two-stage splitting configuration, the infrastructure employs HDPE pipes and 39 hand hole units. Technical measurement results using OTDR and OPM indicate a received power range between -17.95 dBm and -18.71 dBm, which complies with the ITU-T G.984 standard. With an average power margin of 8.65 dB, the underground network proves to be more reliable and less prone to physical disturbances compared to aerial cabling. This innovation contributes to the development of professional, safe, and sustainable digital infrastructure standards for urban communities. Keywords: FTTH, GPON, Network, Attenuation, Underground
DRIVING AI ADOPTION AMONG ACCOUNTING STUDENTS: THE ROLE OF TECHNOLOGY READINESS, DIGITAL COMPETENCE, AND LEARNING ENVIRONMENT
The rapid development of artificial intelligence (AI) has brought significant transformation across various sectors, including higher education. This study analyzes the factors influencing AI adoption among university students, focusing on technological readiness, digital competence, and the learning environment. Through a quantitative approach and analysis using Structural Equation Modeling - Partial Least Squares (SEM-PLS), this research finds that digital competence and the learning environment have a positive and significant influence on AI adoption. Conversely, technological readiness does not show a significant influence. These findings provide practical contributions by offering insights for educational institutions to design effective strategies in enhancing AI literacy and integration. Theoretically, this research enriches the literature on educational technology adoption focusing on the context of AI usage.
Evaluation of the Information Security Level at the Department of Communication and Informatics of Tabanan Regency Using ISO/IEC 27001:2022
Information security is a crucial aspect in maintaining the confidentiality, integrity, and availability of data, particularly within government environments that manage digital-based public services. The Tabanan Regency Communication and Informatics Office plays a strategic role in managing information systems and providing public information services, thus requiring the implementation of a standardized and measurable information security management system. This study aims to evaluate the level of implementation of the Information Security Management System (ISMS) at the Tabanan Regency Communication and Informatics Office based on the ISO/IEC 27001:2022 standard and to formulate improvement recommendations by referring to the control guidelines in ISO/IEC 27002:2022. The research methods employed include observation, interviews, and document analysis to identify the conformity between the existing information security conditions and the 93 security controls listed in Annex A of ISO/IEC 27001:2022. The evaluation process was conducted using a gap analysis approach to determine the level of compliance and identify gaps in the implementation of information security controls. The results indicate that the overall level of information security implementation falls within the sufficient category; however, several controls have not yet been optimally implemented. The controls requiring further attention include information authentication, access rights management, and the readiness of information and communication technology to support business continuity. Based on these findings, this study proposes technical recommendations, including the implementation of multi-factor authentication, the development and strengthening of information security policies, the enhancement of information and communication technology infrastructure, and the conduct of regular information security awareness training. These recommendations are expected to serve as a reference for the Tabanan Regency Communication and Informatics Office in improving the effectiveness of ISMS implementation in accordance with international standards.
Business Information System for Workshop Using Rapid Application Development Method
The development of information technology is driving digitalization in various sectors, including the repair shop industry. Digitalization can improve efficiency, record-keeping accuracy, and service speed. However, many small to medium-sized repair shops still use manual systems, such as the Betawi Motor Service (BMS) workshop in Jatiasih, which records transactions, stock, and financial reports separately using Microsoft Excel. This method causes problems such as input errors, data duplication, difficulty monitoring stock in real time, and inaccurate financial reports. To overcome these obstacles, this study aims to design and build a website-based business information system using the Rapid Application Development (RAD) method. The RAD method was chosen because it supports rapid and iterative development through the stages of requirements planning, design, development, and implementation. The system has three types of users: admin, manager, and employee, with different access rights. The results of Black Box Testing and User Acceptance Testing indicate that all features function well. This system can be accessed through https://bengkelbms.zya.me and helps digitize the BMS Workshop's operations.
Implementation of CNN Method with Otsu Thresholding Preprocessing for Pneumonia Detection
Pneumonia is a lung infection requiring rapid diagnosis to prevent fatal complications, yet X-ray image quality often hinders manual detection accuracy. This study proposes a hybrid approach using a Convolutional Neural Network (CNN) optimized with Otsu Thresholding for lung area (Region of Interest) segmentation. Experiments were conducted on 1,840 images from a secondary dataset. Evaluation results demonstrate a highly balanced and superior model performance, achieving 96% Recall, 91% F1-Score, and 96% Accuracy. The alignment between accuracy and recall values indicates that the model possesses equally good sensitivity and specificity in detecting both positive and negative cases. These findings prove that Otsu pre-processing effectively assists the CNN in focusing on pathological features, making this method a promising automated diagnostic solution.
Community Detection of Singers in Spotify Rock Playlists Using Louvain Method
Spotify is one of the leading music streaming platforms, allowing users to create playlists and select songs based on their preferences. Rock music has remained a prominent genre on Spotify, especially in Indonesia, where it holds historical and cultural significance and serves as a medium for social and political expression. This study investigates how user preferences shape the network structure among Indonesian rock artists. Using the Louvain community detection method, artists were grouped based on their co-occurrence in playlists to uncover community patterns within the genre. Data were collected by scraping playlists using the keyword “Rock Indonesia.” The optimal configuration was found with a k-core value of 3 and an edge weight threshold of 0.39, resulting in a modularity score of 0.4782. Three main communities were identified, differentiated by subgenre, active period, and record label.
Classification of Macronutrient Deficiencies in Melon Leaves Using Convolutional Neural Networks
Macronutrient deficiencies such as calcium, nitrogen, and potassium shortages in melon plants can significantly reduce harvest quality and productivity. This study aims to develop a classification model for detecting macronutrient deficiencies in melon leaves using Convolutional Neural Network (CNN). The dataset consists of 200 melon leaf images categorized into calcium deficiency, nitrogen deficiency, potassium deficiency, and healthy leaves. Data augmentation techniques were applied to enhance dataset variation, and the model was trained using Google Colab with GPU support. The CNN architecture includes convolutional layers for feature extraction, pooling layers for dimensionality reduction, dropout layers to prevent overfitting, and fully connected layers for classification. The model achieved high accuracy in classifying melon leaf conditions, demonstrating its potential as an effective tool for early detection of nutrient deficiencies. This research contributes to agricultural technology by providing an automated, accurate, and efficient method for diagnosing plant nutritional problems, enabling farmers to take timely preventive actions to improve crop yield and quality.
Academic FAQ Chatbot using Retrieval Augmented Generation
Traditional methods of accessing information from academic guideline documents often lead to inefficient manual searches and repetitive queries. This research addresses these challenges by developing an academic Frequently Asked Question (FAQ) chatbot using the Retrieval Augmented Generation (RAG) approach. The study aims to simplify academic information access on academic documents through an AI-integrated chatbot. The methodology includes document collection, data preprocessing, and vector representation via embedding techniques. A retrieval system is built using a vector database for similarity-based searches, integrated with a Large Language Model (LLM). This research used All-MiniLM-L6-v2 model for embeddings, while Gemini-2.0-flash is utilized as the LLM for response generation. The chatbot interface is developed using Flask framework. User surveys indicate higher satisfaction with the developed RAG-based chatbot compared to traditional services. This research contributes significantly by demonstrating an effective, adaptive, and cost-efficient AI solution that enhances academic information services.
Implementation of a Waste Filtration Control System and Monitoring of Waste Quality in an Internet of Things-Based Laundry Business
An Internet of Things (IoT)-based wastewater filtration control system is developed to monitor water quality in real-time and automatically manage the filtration process. pH, turbidity, and Total Dissolved Solids (TDS) sensors are employed to detect the quality of wastewater generated from laundry a This section presents the results of the design and implementation stages of the waste filtration control system and Internet of Things-based water quality monitoring. ctivities. Sensor data is transmitted via Arduino and ESP8266 microcontrollers to Firebase, then displayed through an Android application. Based on the sensor readings, the system activates the filtration pump or channels the water to either a drainage outlet or a storage tank depending on the water condition. Test results indicate a 70% success rate in producing cleaner water from ten tested samples. The system also demonstrates stable and fast data transmission to Firebase and the Android application. This solution is suitable for small-scale applications, especially for household and laundry wastewater management.
Smart Plug Socket with ESP-NOW and MQTT for Efficient Power Monitoring and Control via Android
Uncontrolled electricity usage and voltage fluctuations can damage electronic devices and lead to energy waste. This research designs a plug socket system capable of efficiently monitoring and controlling electricity consumption through an Android application. The system consists of two devices: a master and a slave, communicate using the ESP-NOW protocol without an internet connection, and connect to the Android app via MQTT. The slave device, equipped with a PZEM-004T sensor to monitor electrical parameters such as voltage, current, power, and energy. The system is designed to automatically cut off power if voltage fluctuations occur for more than one minute and to restore it when the voltage returns to normal. The Android application provides features such as relay control, scheduling, cost estimation, and historical data visualization for up to 45 days. Testing results shows the system functions well and assists users in monitoring and controlling electricity use more efficiently and safely.
Architectural Planning of Outpatient Registration and Queue Information System using Enterprise Architecture Planning at the Hospital
Advances in information technology have encouraged healthcare organizations to develop integrated information systems that are aligned with their business processes. However, many institutions still face problems such as unintegrated systems, data duplication, and mismatches between business needs and information technology. These conditions highlight the need for architectural planning as the basis for structured and sustainable information system development. This study aims to develop an Enterprise Architecture for outpatient services with reference to Enterprise Architecture Planning (EAP). The research methods include literature study, analysis of existing conditions, business process modeling, and data, application, and technology architecture design. The results of this study are an enterprise architecture blueprint that is expected to be a reference for the development of integrated and efficient hospital services that support service quality improvement and management decision making.
Design of IoT-Based Smart Charging Power Supply for Pratima Security
A power supply is essential for the Pratima security system because it serves as the primary energy source that ensures all components of the Pratima security system can operate optimally, especially during power outages. This study designs a power supply system with a smart charging feature for the IoT-based Pratima security system. This system uses an ESP8266 microcontroller, current and voltage sensors, and is connected to the Telegram application to provide notifications when the 18650 battery is full. Unlike previous studies that utilize websites, this system offers a simpler and more efficient monitoring solution via Telegram. The goal is to maintain the quality of the 18650 battery, prevent overcharging, and provide a power reserve to keep the security system active. This study uses the Software Development Life Cycle (SDLC) method with a Waterfall model consisting of 5 stages: analysis, design, implementation, testing, and maintenance. The results of this study are expected to be an alternative power supply with a smart charging feature at an affordable price and can be applied to other IoT devices that require an automatic and efficient charging system.
Blockchain Technology for Enhancing Cryptocurrency Transaction Security in Indonesia: A Systematic Literature Review
Abstract This study aims to analyze the extent to which Blockchain technology improves the security of cryptocurrency transactions in Indonesia using a Systematic Literature Review (SLR). The need for a more secure and transparent system is the main background. The findings show that Blockchain improves security through encryption, consensus mechanisms, and decentralization, which ensure data integrity and reduce fraud. However, its implementation faces significant challenges in Indonesia, including scalability limitations, a lack of clear national regulations, and low public understanding. This research provides direction for developing a more secure and sustainable digital financial ecosystem in Indonesia.
Design and Implementation of Automatic Fan Control System Based on Room Temperature Using Microcontroller-Based LM35 Sensors
Room temperature control is an important aspect in maintaining user comfort and ensuring the efficient performance of electronic devices in enclosed spaces. Manual fan operation is considered ineffective because it cannot respond promptly to temperature changes and may lead to energy inefficiency. Therefore, this study aims to design and implement an automatic fan control system based on room temperature using an LM35 temperature sensor and an Arduino Uno microcontroller. The control method applied is threshold-based control, in which the fan automatically turns on or off according to a predefined temperature limit. The system consists of an LM35 sensor for temperature sensing, a microcontroller for data processing, a relay module as the actuator controller, a DC fan as the cooling device, and an I2C-based LCD as the display unit. System testing was conducted in an enclosed room with naturally varying temperature conditions. The experimental results show that the system is capable of reading room temperature stably and in real time, displaying temperature data clearly, and controlling the fan automatically and consistently according to the room temperature conditions. Based on its performance, the proposed system can be considered a simple, efficient, and easily applicable solution for room temperature control in small- to medium-scale enclosed environments. Keywords: temperature control, automatic fan, LM35 sensor, microcontroller, embedded system.
Analysis of the Sensitivity of the SW-420 Vibration Sensor to Minor Mechanical Disturbances in the Safe Security System
Abstract The security of assets in closed storage such as safes faces challenges in the form of illegal unit removal and physical manipulation. This study aimed to design and evaluate an anti-theft alarm system based on the Arduino Uno microcontroller with an SW-420 vibration sensor. The approach used was a laboratory experimental method focusing on testing the system's responsiveness to low-intensity mechanical interference or "Level Easy". The results showed that the integration of the SW-420 sensor, relay module, and buzzer successfully detected physical anomalies in real-time with a response time of less than one second. The implementation of the pulseIn() function in the programming logic proved effective in processing digital vibration signals into accurate alarm activation instructions. Threshold adjustments via potentiometers and the application of debouncing methods successfully minimized the potential for false alarms. In conclusion, this prototype demonstrated high reliability as an independent and portable early warning system for the protection of static assets. Keywords : Arduino Uno, SW-420 Sensor, Safe Security, Vibration.