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Jurnal ICT : Information and Communication Technologies
Published by Marq & Cha Institute
ISSN : 20867867     EISSN : 28089170     DOI : https://doi.org/10.35335/jict
Core Subject : Economy, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering
Jurnal ICT : Information and Communication Technologies (p-ISSN: 2086-7867) is a scientific journal and open access journal published by Pusat Penelitian Teknoligi, Marqcha Institute, Indonesia. Jurnal JICT covers the field of Informatics, Computer Science, Information Technology and Communication.It was firstly published in 2010 for a printed version. The aims of Jurnal JICT are to disseminate research results and to improve the productivity of scientific publications. Jurnal JICT is published two times a year (April and October).
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 96 Documents
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Decision Support System in Marketing Strategy Using Data Mining Techniques Harahap, Leliana; Purba, Sartika Dewi; Panggabean, Jonas Franky R; Sirait, Kamson
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.299

Abstract

The increasing complexity of market competition and the rapid growth of enterprise data have made traditional marketing decision-making approaches inadequate in addressing information asymmetry and dynamic market changes. Conventional decision support systems (DSS) are often limited to data-level reporting and lack advanced analytical capabilities to uncover hidden patterns and strategic insights. This study aims to design and evaluate an intelligent marketing Decision Support System by integrating data warehousing, Online Analytical Processing (OLAP), and data mining techniques to enhance the quality and effectiveness of marketing decisions. The proposed method adopts a data-driven DSS architecture that performs extract–transform–load (ETL) processes to build a unified subject-oriented data warehouse, followed by multidimensional analysis and knowledge discovery using decision tree classification and neural network models. Experimental validation was conducted using FoodMart 2000 sales data to assess the predictive performance and decision support capability of the system. The results demonstrate that the three-layer BP neural network model achieved a mean absolute percentage error of 15.13% in sales prediction, indicating satisfactory forecasting accuracy, while simulation and sensitivity analyses reveal a positive correlation between promotional investment and corporate profit growth. These findings confirm that the proposed marketing DSS can effectively reduce information asymmetry, improve forecasting reliability, and support strategic marketing decisions related to pricing, promotion, and market expansion. The study implies that integrating data mining with DSS provides a robust analytical foundation for data-driven marketing management and sustainable enterprise competitiveness in complex market environments.
Evaluation of the usability of the faculty performance assessment questionnaire using the system usability scale (SUS) method Situmorang, Sutrisno; Manullang, Jontinus; Lubis, Harmoko; Manik, Aditiarno
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.308

Abstract

The digital transformation of lecturer performance evaluation systems in higher education has improved efficiency in data collection and reporting; however, system effectiveness depends significantly on its usability. A system that is difficult to use may reduce student participation and compromise the quality of evaluation data. This study aims to evaluate the usability level of an online lecturer performance assessment questionnaire system using the System Usability Scale (SUS). The research employed a descriptive quantitative approach involving 30 active students as respondents who had completed the online questionnaire. Data were collected using a 10-item SUS instrument with a five-point Likert scale and analyzed according to standard SUS scoring procedures, followed by descriptive interpretation and validity testing using Pearson correlation. The results showed that the average SUS score was 49.75, which falls into the “Poor” category, indicating that the system’s usability level has not yet reached an acceptable standard. Although the system is generally accessible and relatively easy to learn, several aspects—particularly navigation clarity, interface consistency, and user feedback mechanisms—require improvement. The validity test confirmed that all questionnaire items were statistically valid. These findings imply that systematic redesign and iterative usability evaluation are necessary to enhance user experience, increase student participation, and strengthen the effectiveness of lecturer performance evaluation as part of sustainable academic quality assurance in higher education institutions.
Product Demand Prediction in E-Commerce Systems Using the Monte Carlo Method Fahrizal, Muhammad Arif; Lumbansiantar, Irwan; Herlianto, Rebi; Panjaitan, Krisfan Suganda
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.309

Abstract

The rapid growth of e-commerce has intensified demand uncertainty, creating significant challenges in inventory management due to the risks of overstock and stockout conditions. Fluctuating consumer behavior and dynamic digital market trends require forecasting approaches capable of modeling probabilistic variability rather than relying solely on deterministic estimates. This study aims to analyze and implement the Monte Carlo simulation method to forecast product demand in an e-commerce system and to evaluate its effectiveness in supporting optimal inventory decision-making. The research adopts a quantitative approach using historical monthly sales data of laptop products collected over a ten-month period. The Monte Carlo method was applied by constructing probability distributions, calculating cumulative probabilities, defining random number intervals, and performing repeated simulations to generate demand predictions. The simulation results produced an average predicted demand of 139 units, closely aligned with the historical average of 137 units, with a Mean Absolute Deviation (MAD) of 2 units, indicating a low prediction error. These findings demonstrate that the Monte Carlo approach effectively captures demand variability and provides accurate probabilistic estimates. The study implies that integrating Monte Carlo simulation into e-commerce inventory planning can enhance risk-based decision-making, improve stock control accuracy, and reduce potential financial losses associated with demand uncertainty.
An Evaluation Of Project Manager Performance In The Success Of Agile Scrum-Based Application Development Projects Permana, Decky; Wahyu Nugraha, Diki; Irawan, Debi
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.311

Abstract

The role of a Project Manager (PM) is vital to the success of application development projects. Within the Agile Scrum framework, a PM ensures effective team collaboration, adaptability to changing requirements, and the timely completion of sprints. This study aims to evaluate Project Managers' performance in relation to the success of Agile Scrum-based application development projects. Using a quantitative approach a survey was conducted with 20 respondents from Agile-based software development teams. The study reveals that leadership, communication skills, and decision-making are the most significant contributors to project success. These factors collectively account for 78% (R² = 0.78) of the project success rate reported. The TELOS feasibility analysis indicates high feasibility in the technical (90%), operational (85%), and schedule (80%) dimensions, while the economic (75%) and legal (70%) dimensions identified areas for improvement. Ultimately, the performance of the Project Manager plays a dominant role in determining the success of Agile Scrum project implementation.
Development of a Real-Time Web-Based Battalion Picket Activity Monitoring System: A Case Study of the INFO GIAT Application Wibowo, Satrio; Yuliandhita Puspita Maharani, Alya; Richard Arieadhie, Mochammad; Maulana, M. Yusuf; Ahmad Firdaus, Eryan
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.314

Abstract

Operational effectiveness in a Battalion environment depends heavily on the discipline and orderly execution of picket duties. However, reliance on manual administration such as physical journals and fragmented data recapitulation creates bottlenecks in the flow of vital information, increases the risk of data loss, and limits leadership’s ability to supervise unit activities in real-time. This research develops INFO GIAT (Informasi Gerakan Internal Anggota Terpadu), a web-based information system designed to transform battalion picket management into an integrated digital ecosystem. The Prototyping development method was adopted to build the system iteratively and responsively to user needs, while Blackbox Testing was used to validate system reliability. The system incorporates Role-Based Access Control (RBAC) to manage access for three user types: Administrator, Organik/Atasan (supervisor), and Kadet (picket officer). A key security feature is a two-factor authentication (2FA) mechanism via Telegram API. Results indicate that INFO GIAT significantly improves the efficiency of picket administration, automates personnel strength recapitulation, and provides a real-time monitoring dashboard for leadership, while minimizing human error and ensuring data transparency and accountability.
Application System for Tracking Training and Physical Condition of Student Cadets in the Student Cadet Corps Regiment Nurdiansyah, Agung; Putri Amalia Nugroho, Anatasya; Faza Hafasi, Ibran; Davin Rizqullah, Ruvian; Ahmad Firdaus, Eryan
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.315

Abstract

Monitoring physical condition and training activities is an important aspect in the development of student cadets within the Student Cadet Corps Regiment. However, the monitoring process that is still conducted manually reduces the effectiveness of tracking training compliance and the physical development of cadets. This study aims to design and develop a web-based application system for tracking the training activities and physical conditions of student cadets to support structured recording, monitoring, and evaluation of physical fitness. The system development method used in this research is Rapid Application Development (RAD), which emphasizes rapid prototyping and iterative improvements based on user feedback. The system was developed using the CodeIgniter framework for backend development, Bootstrap for frontend design, and MySQL as the database management system. The application enables cadets to record running activities and physical condition data such as height and weight, which are then calculated using the Body Mass Index (BMI) method. The data are stored in the database and visualized through graphical progress reports to facilitate monitoring of training outcomes. In addition, the system provides an administrative dashboard that allows regiment officials to centrally monitor the physical condition and training compliance of cadets. The results show that the developed system can improve the effectiveness and efficiency of training monitoring compared to the previously used manual method.
Metadata and Location-Based Digital Document Authenticity Identification Al Farizi, Teuku Ahmad Hafiz; Tanjung, Mahardika Abdi Prawira
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.319

Abstract

The growth of digital documents has simplified the creation, storage, and distribution of information, but it has also increased the possibility of document forgery and manipulation. This study implements a digital forensic approach to support the identification of digital document authenticity through metadata and location analysis. The research method follows the National Institute of Standards and Technology (NIST) framework, consisting of collection, examination, analysis, and reporting. The system was developed as a web-based application using HTML, CSS, and JavaScript, with support for JPG, PNG, PDF, and DOCX files. The analyzed metadata includes file type, file size, creation time, modification time, software or device information, author identity, and GPS coordinates when available. The system was tested using black box testing on key features, including file upload, fetch URL, export JSON, clear, and GPS location display. The results show that the system is able to extract and present metadata in a structured manner and support the initial verification of digital document authenticity. Metadata can be used as an early indicator to detect inconsistencies in document history, although the reliability of the analysis depends on the completeness of metadata stored in the examined file.
Real-Time Web-Based Indonesian Sign Language (BISINDO) Translator System Using CNN-LSTM Deep Learning and Text-to-Speech Imjauzanansyah, Nabiel Muhammad; Simbolon, Hevlie Winda Nazry
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.320

Abstract

Indonesian Sign Language (BISINDO) is the primary communication medium for the deaf community, yet low public understanding often causes communication barriers. Previous sign language recognition studies mostly operated offline, lacked real-time web integration, and only produced text output. This study designs and develops a real-time web-based BISINDO translator system using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) method, integrated with a Text-to-Speech (TTS) feature. The dataset consisted of primary video data from 3 subjects, covering 11 category classes with 1,000 frames per class in grayscale format (100x89 pixels). The hybrid CNN-LSTM model was integrated into a React.js and Node.js web application (NzSignify). Testing results demonstrate that the model achieved 96% static accuracy based on Confusion Matrix evaluation. In real-time functional testing, an 80% Confidence Threshold effectively filtered incorrect gestures, enabling accurate translation of valid sign gestures into text and voice output.
An Expert System for Diagnosing Laptop Hardware Failures Using a Web-Based Certainty Factor Method Tarigan, Mhd Hidayat Fajri; Martiano, Martiano
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.321

Abstract

Rapid technological developments are driving the increased use of laptops in various activities, which indirectly increases the potential for hardware damage. In laptop repair services, the damage identification process generally relies on the technician's experience, resulting in subjective and potentially inconsistent decisions. This situation demonstrates the need for a system capable of providing structured and measurable diagnostic support. The approach used is the Certainty Factor method to represent the level of confidence in diagnostic results. The developed web-based expert system allows users to identify damage based on selected symptoms, then produces output in the form of the type of damage along with a confidence value as a percentage. Evaluation is carried out by comparing the system's diagnostic results with those of experts in a number of test cases. The test results show a good level of agreement, so the system can be used as an aid in the initial diagnosis of laptop hardware damage.
Design and Development of an IoT-Based Ground Vibration Monitoring System with Landslide Potential Classification Using SVMDesign and Development of an IoT-Based Ground Vibration Monitoring System with Landslide Potential Classification Using SVM Pratama, Ridho; Tanjung, Mahardika Abdi Prawira
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.322

Abstract

Landslides are natural disasters that can cause casualties, environmental damage, and infrastructure losses. One challenge in landslide mitigation is the limited availability of monitoring systems that can provide fast, real-time, and interpretable information about ground conditions. This study aims to design and develop an Internet of Things (IoT)-based ground vibration monitoring system with landslide potential classification using Support Vector Machine (SVM). The system uses an MPU6050 sensor to acquire ground vibration data and an ESP8266 microcontroller to transmit data through a Wi-Fi network to a server. The collected data are processed through preprocessing, windowing, feature extraction, and standardization before being classified into three condition categories: Safe, Alert, and Danger. The classification results are displayed on an LCD, visualized through a web dashboard, and used to activate a relay as a warning mechanism when a dangerous condition is detected. The testing results show reliable data transmission with a 100% delivery success rate in the observed test and an average latency of approximately 0.3 seconds. The SVM model achieved 99.79% accuracy, with high precision, recall, and F1-score for all classes. Therefore, the proposed prototype can support ground vibration monitoring and early landslide warning efforts more effectively.

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