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Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 361 Documents
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Implementation of the Random Forest algorithm to predict rice needs in DKI Jakarta Santoso, Hadi; Hakim, Lukman; Afiyati, Afiyati; Jokonowo, Bambang
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.12850

Abstract

Purpose : to build collaborative partners between government institutions and universities in food processing, especially rice, by predicting rice needs in the DKI Jakarta area.Design/methodology/approach:The approach in this research uses the Random Forest algorithm which functions to predict rice needs in the DKI Jakarta area.Results: rice demand prediction application with evaluation values Mean Squared Error 207.86, Mean Absolute Error 9.43, MAPE 0.048, Root Mean Squared Error 14.4, accuracy 0.63Originality/value/state of the art:research using data from BAPANAS, Cipinang Main Market, with 2 datasets of rice stock, population, year and rice consumption using a random forest algorithm to predict rice needs in the DKI Jakarta area 
Combination of Deep Neural Network and YuNet for Python-Based Human Lifespan Prediction Apridiansyah, Yovi; Ardiansyah, Adidi Muhammad; Wijaya, Ardi
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14510

Abstract

Purpose: In this research on face detection, many methods face challenges in the accuracy of age prediction due to the complexity of facial features that are influenced by factors such as lighting, expression, and image quality. Therefore, this research focuses on developing more accurate and efficient methods by utilizing Deep Neural Network (DNN) and YuNet. The purpose of this study is to develop a face recognition model in detecting and determining human age automatically using Python with the DNN method to study facial patterns in determining human age precisely and integrate the YuNet library as a lightweight face detection framework that is efficient in the identification process.Design/methodology/approach: In this study, a system was created for predicting human age using the Deep Neural Network method which functions to predict age based on facial patterns in images and the Yunet method as a facial image detector. The stages of this research start from taking pictures, installing python libraries, namely opencv, face detection process, and age detection process.Findings/result: The results of the study show that the DNN and YuNet methods have tested as many as 50 samples in the form of photos of human faces taken at a distance of half a meter, so by using the DNN and YuNet methods, researchers have succeeded in obtaining the age of the human face through the image processing process which can then obtain an accuracy level or Precission of 80% and the accuracy level of success between the prediction value and the actual value given by the system is 80%.Originality/value/state of the art: In this study, the system uses Python tools where in the face detection process using the YuNet method, this method is used because YuNet can directly detect facial features in the image and is lightweight in operation. In terms of DNN prediction, it functions as a method that can predict age based on the results of facial image detection. In this study, a dataset was also used for 50 facial samples that were tested for accuracy using the confussion matrix by looking for precission, recal, and accuracy values. 
Perancangan Sistem Pemesanan Menu pada Kedai Teh Berbasis Customer Relationship Management (CRM) Irawati, Dyah Ayu; Zubaeda, Dyah Ayu; Ristyowati, Trismi
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14662

Abstract

Tujuan: Penelitian ini bertujuan merancang sistem pemesanan menu mandiri berbasis CRM untuk meningkatkan kinerja operasional dan interaksi pelanggan di Kedai Teh Kaula, sebuah usaha kuliner berskala kecil. Metodologi: Sistem dikembangkan dengan model waterfall dan kerangka kerja CRM Francis Buttle. Pengumpulan data dilakukan melalui observasi, wawancara, dan telaah pustaka, dilanjutkan dengan pembuatan Use Case Diagram, ERD, DFD, dan wireframe antarmuka. Hasil: Desain sistem mendukung desain sistem pemesanan mandiri lewat QR code serta fungsi admin untuk pengelolaan pesanan dan data pelanggan. Desain sistem ini mengatasi antrian panjang, meningkatkan akurasi pesanan, dan memperbaiki pengalaman pengguna. State of the Art: Penelitian ini menunjukkan integrasi praktis strategi CRM pada tahap awal perancangan sistem, memberikan model yang skalabel bagi usaha kecil yang menjalani transformasi digital.
The Improving Cross-Project Software Defect Prediction with CORAL-Based Domain Adaptation and Ensemble Learning Harianto, Sony
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14939

Abstract

Abstract—This study presents a cross-project software defect prediction (CSDP) framework combining feature harmonization, CORAL-based domain adaptation, SMOTE balancing, PCA reduction, and ensemble classifiers: Random Forest, Logistic Regression, XGBoost, AdaBoost, and VotingClassifier. Evaluations on five AEEEM datasets (JDT, EQ, PDE, Lucene, Mylyn) in both single-source and multi-source settings show consistent improvements over baseline methods. While not outperforming deep learning models, the approach remains practical and interpretable for real-world CSDP tasks.
Performance Analysis of Power Link Budget and Rise Time Budget to Support Fiber Optic Connectivity Telkom University Iqbal, Muhammad
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14724

Abstract

Faculty of Applied Sciences, Telkom University has an Optical Communication System Laboratory designed as a supporting facility for the Optical Communication System course. One of the main obstacles is that this laboratory does not yet have a miniature Fiber to the X (FTTX) network like the optical cable-based internet network topology owned by internet service providers, resulting in a digital divide and limited practical experience for students. To overcome this problem, the development of an optical cable layout on a special FTTX network was applied to the Optical Communication System laboratory, so that participants understand the concept of Optical Distribution Cabinet (ODC) to Optical Distribution Point (ODP). The results of this study indicate that the fiber optic cable layout has succeeded in connecting the Optical Line Termination (OLT) at the Faculty of Applied Sciences to the Optical Distribution Point (ODP) 800 meters away (Hotel Lingian), as well as connecting to several laboratories in the Faculty of Applied Sciences environment that are connected to the Optical Distribution Center (ODC). The results of the Power Link Budget measurements for Downlink and Uplink and Bit Error Rate have values of -23.920 dBm, -24.631 dBm, respectively. While the Rise Time Budget value in uplink, downlink conditions with a value of 0.334 ns and 0.426 ns and the results of the Bit Error Rate (BER) are 16.37 × 10^(-13) and 15.25 × 10^(-12). The measurement value shows that the design has met the standards of the existing value parameters.
Comparison Of Blurred Image Restoration Methods Using CNN, Non-Local Means (NLM), and Lucy-Richardson Evelyn Anastasia; Ratu Risky Makhrojah; Alya Zahwa Saparily; Aprian Maulana Suryawan; Ma’mun Hakim Abdullah; Zahra Zakiyatus Shalihah; Endah Setyowati
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14730

Abstract

Purpose: Blurred images caused by camera motion, poor lighting, or inaccurate focus are common challenges in digital imaging. These issues not only affect visual aesthetics but also risk the loss of critical information, particularly in forensic analysis, medical diagnostics, and historical documentation. This study aims to compare the effectiveness of three image restoration methods—Convolutional Neural Network (CNN), Non-Local Means (NLM), and Lucy-Richardson—through a systematic literature review approach. Design/methodology/approach: This research adopts a Systematic Literature Review (SLR) methodology, analyzing peer-reviewed articles from IEEE Xplore and other reputable sources. Each method is evaluated based on key restoration criteria, including detail preservation, noise handling, and computational complexity. Findings/result: CNNs demonstrate superior performance in restoring semantic and complex structural details due to their deep learning capabilities, although they require large datasets and longer training times. NLM is effective in reducing noise and preserving texture details but is computationally intensive. The Lucy-Richardson algorithm, as a classical deconvolution method, is relatively simple and does not require training data, yet it heavily depends on accurate point spread function (PSF) estimation and is susceptible to noise amplification. The analysis indicates that a hybrid approach combining these methods can significantly enhance image restoration quality. Originality/value/state of the art: This study offers a comprehensive comparative analysis of three widely used restoration techniques and highlights the potential of hybrid systems. By integrating the strengths of CNN, NLM, and Lucy-Richardson, a more adaptive and optimal restoration strategy can be developed to address diverse types of image degradation.
Development of Employee Job Satisfaction Survey System with Access Management Based on Job Position Using Scrum Framework (Case Study: Era Medika Hospital) Meyliana Wafaul Ummah; Yayak Kartika Sari; Agung Prasetya
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14762

Abstract

Era Medika Hospital is a privately-owned general hospital committed to quality service and patient safety by continuously evaluating and improving various aspects, including the quality of human resources (HR) or staff, whose service quality is greatly influenced by their job satisfaction. To assess employee job satisfaction, the HR management routinely conducts a survey in the form of a questionnaire every six months using the XYZ Application. However, from experience with this application, HR management has encountered issues such as duplicate survey submissions by employees, difficulties managing questionnaire access rights based on employee positions, and manual separation of suggestion responses by category. This study aims to develop a web-based Employee Job Satisfaction Survey System at Era Medika Hospital with access management based on employee roles using the Scrum framework. The system development applies an agile Scrum approach, dividing the design, implementation, and testing phases into three sprints, each followed by sprint reviews with stakeholders. The developed system features solutions addressing the encountered problems, such as login/sign-in using employee identification numbers (NIP) to ensure each employee submits the survey only once, questionnaire data management including access control by position, and automatic categorization of suggestion responses starting from the survey input.Evaluation results indicate the system meets both functional and non-functional requirements as expected by users. Achieving the research objectives, the system is expected to operate optimally, support data-driven decision-making, and improve employee satisfaction and productivity, ultimately contributing to enhancing the quality of healthcare services provided by Era Medika Hospital.
Development of a Penetration Testing Framework for Identifying Security Vulnerability Solutions in WiFi Networks: Pengembangan Framewok Penetration Testing untuk Proses Pencarian Solusi Kerentanan Keamanan pada Jaringan Wifi Imran, Ali; Neyman, Shelvie Nidya; Rahmawan, Hendra
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14767

Abstract

The rapid increase in internet users has driven the development of WiFi networks, which play a crucial role in providing secure internet access, especially within Industry 4.0 and Industry 5.0 environments that rely on efficient data exchange. Penetration testing (pentest) is a vital approach for auditing and evaluating the security level of WiFi networks. Several frameworks such as PTES, PETA, and ISSAF are often used as references, although only a few are explicitly designed for WiFi networks. This study proposes a modification of the PTES framework to better align with the security characteristics of WiFi networks by providing relevant solution recommendations. The integration of the Boyer-Moore algorithm is employed as an efficient method to identify solutions for detected vulnerabilities. The implementation of this framework is demonstrated through testing the suggestion process, which produces solution recommendations based on vulnerabilities found during the pentest. The Boyer-Moore algorithm exhibits high efficiency in generating recommendations with a response time of 0.0000087 seconds.
Improving the Efficiency of Water Meter Reading at Perumdam Tirta Kerta Raharja Using Microcontroller-Based Implementation of the YOLOv9 Method: Peningkatan Efisiensi Pembacaan Angka Meter Air Perumdam Tirta Kerta Raharja Berbasis Mikrokontroler dengan Penerapan Metode Yolov9 Putra, Septian Ade; Merlina, Nita
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14802

Abstract

Manual water meter reading remains a challenge for Perumdam Tirta Kerta Raharja due to its labor-intensive process, susceptibility to human errors, and inefficiency. This study aims to develop an automated water meter reading system using YOLOv9 and a microcontroller to improve efficiency and data accuracy. The model was trained using a dataset of water meter images under various lighting conditions and viewing angles. Evaluation results indicate that the 20-epoch configuration is the best model, achieving 99,91% accuracy, 91,16% average precision, and 91,04% average recall. The developed system successfully detects digits in real-time with high accuracy when deployed on a Raspberry Pi-based platform. However, the model still faces challenges in detecting the Background class. With further optimization, this system can be widely implemented to enhance operational efficiency in Perumdam and related industries.
Monitoring Development Board based on InfluxDB and Grafana Noprianto, Noprianto; Wijayaningrum, Vivi Nur; Wakhidah, Rokhimatul
Telematika Vol 20 No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.7643

Abstract

Purpose: Designing a sensor data monitoring system using a time series database and monitoring platform on a Development Board device.Design/methodology/approach: It begins with a requirement analysis, such as the preparation of the required software and hardware, followed by the creation of the system architecture that will be adopted. Then the development process from a predetermined design to the testing process to ensure the dashboard page can display data according to a predetermined scenario.Findings/result: From the research that has been done, produces a design of sensor data that is sent using the MQTT protocol via Node-RED, then stored in a time series database (InfluxDB) and displayed on the Grafana dashboard display.Originality/value/state of the art: Sensor data monitoring dashboard on Development Board devices

Page 30 of 37 | Total Record : 361

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