cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Jonson Manurung
Contact Email
marcha.institute@gmail.com
Phone
+6281361081639
Journal Mail Official
Jhonson.geo@gmail.com
Editorial Address
Jl. Siboro no. B 05 Simalingkar A Medan, Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
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 61 Documents
 3   4   5   6   7 
Implementation of the AHP Method in Decision Making for Stunting Management at the Sicanang Community Health Center UPT Using a Website Limbong, Robetauli Febriyanti; Nasution, M. Irfan Aldy
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.v16i2.277

Abstract

Stunting remains a persistent public health challenge in Sicanang Village, where socioeconomic disparities and limited access to essential services continue to hinder effective intervention strategies. This study aims to identify and prioritize the key determinants of stunting using the Analytical Hierarchy Process (AHP) to support evidence-based decision-making for targeted interventions. Five criteria were evaluated—stunting prevalence, poor family conditions, maternal education, access to sanitation, and program support—based on expert judgment and field data. The results show that stunting prevalence (31.68%) and poor family conditions (29.43%) are the most influential factors, followed by program support (17.94%), maternal education (10.94%), and sanitation access (9.99%). The Consistency Ratio (0.0107) indicates that the weighting process is methodologically valid. At the sub-district level, Bahari Village and Pulau Bahagia obtained the highest priority scores (3.0161), while Pulau Sicanang ranked lowest (2.6776), highlighting the need for differentiated intervention strategies across locations. These findings underscore the importance of data-driven prioritization to optimize resource allocation, strengthen local health programs, and address the multidimensional determinants of stunting. The study provides a practical framework for policymakers to design targeted, context-specific interventions that can enhance the effectiveness of stunting reduction efforts in vulnerable communities.
Determining Sales Based on Goods Data Classification Using the Web-Based C4.5 CRISP-DM Method Gunawan, Bayu; Fahrozi, Wirhan
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.v16i2.278

Abstract

The increasing complexity of product distribution and sales activities at PT Mitra Bersama has created challenges in accurately classifying product performance, particularly due to manual data processing that is inefficient and prone to error. To address this issue, this study aims to develop an intelligent decision-support system capable of classifying best-selling and non-best-selling products using a data-driven approach. The CRISP-DM methodology was applied to guide the overall analytical process, consisting of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The C4.5 algorithm was used to perform the classification through entropy and information gain calculations to determine the most influential attributes. The results show that Type of Food has the highest information gain (0.0113340), followed by Initial Stock, Unit, Month, and Ending Stock, indicating that product characteristics and early inventory levels play a significant role in predicting sales performance. These findings were implemented into a web-based application to facilitate real-time classification and assist decision-makers in optimizing inventory planning, distribution strategies, and sales forecasting. This research contributes to improving organizational efficiency by providing a systematic, accurate, and accessible tool that supports better strategic decision-making in product sales management.
Multiple Linear Regression Method in Product Stock Prediction at PT. Kartika Mandiri Abadi Armaya, Jhea; Ramadhan, Muhammad Hari
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.v16i2.280

Abstract

Inaccurate inventory management often leads to stock shortages or surpluses, which impact operational efficiency and customer satisfaction in medium-sized distribution companies such as PT. Kartika Mandiri Abadi. This study aims to develop a website-based stock prediction system using the Multiple Linear Regression (MLR) method to produce more accurate stock estimates and support managerial decision-making. The research methods included collecting historical sales and product inventory data, designing a web-based system using the Unified Modeling Language (UML) model, implementing MLR to predict inventory levels based on independent variables such as monthly sales and initial inventory, and testing the functionality and accuracy of the system. The results show that the MLR-based inventory prediction system is capable of producing more stable and consistent estimates compared to manual methods, reducing the risk of stock shortages or surpluses, and facilitating management in inventory planning and distribution scheduling. The implementation of a web-based system provides real-time access, data visualization, and structured reports that support faster and data-driven decision making. These findings emphasize the importance of integrating statistical methods with information technology to improve operational efficiency and inventory planning in distribution companies. This research also opens up opportunities for further development by incorporating external variables or hybrid approaches to improve prediction accuracy in dynamic market conditions.
Implementation of Augmented Reality in Foreign Languages (English - Arabic) Using the Marker-Based Tracking Method Banjarnahor, Joel Dakosta; Syahputri, Nita
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.v16i2.281

Abstract

Mastery of foreign languages, particularly English and Arabic, remains a challenge for Indonesian students due to limited exposure, low motivation, and the inadequacy of conventional learning media. This study aims to enhance students’ interest and learning outcomes in English and Arabic through the development and implementation of a Marker-Based Augmented Reality (AR) learning application. The research employs a design and development methodology, integrating AR with marker tracking using Vuforia and Unity, and evaluates the application across key functional scenes, including vocabulary recognition, interactive 3D object projection, quizzes, and learning materials. The results indicate that the AR application significantly improves engagement, motivation, and comprehension, allowing students to experience contextualized learning in an interactive and flexible environment. Marker-Based Tracking ensures accurate real-time projection of virtual objects onto physical markers, supporting multi-modal language acquisition, including vocabulary, pronunciation, and contextual understanding. Furthermore, the application demonstrates practical usability, scalability, and adaptability for self-directed and blended learning, highlighting its potential as a complementary educational tool. These findings suggest that AR can serve as an effective innovation to address low interest and achievement in foreign language learning, providing a model for immersive and interactive pedagogical practices. However, limitations such as device dependency and short-term evaluation underscore the need for further research to examine long-term learning outcomes, wider population applicability, and integration with markerless AR technologies. Overall, the study contributes to the emerging field of AR-mediated language learning by offering both theoretical insights and practical guidance for educators and developers.
Designing an Online Train Ticket Booking Website Using the Design Thinking Method Cania, Dea; Triandi, Budi
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.v16i2.282

Abstract

The increasing demand for train services in Indonesia has highlighted significant challenges in conventional ticket reservation systems, including long queues, limited customer time, scheduling errors, and rapid ticket depletion during peak periods. This study aims to develop and evaluate a digital train ticket reservation application designed to streamline booking processes, improve user experience, and provide real-time access to ticket availability, pricing, and schedules. The research employs a user-centered Design Thinking approach to guide the development of key functional modules, including login, train and route management, schedule creation, order processing, and user profile management. Results demonstrate that the application successfully integrates these functionalities into a unified platform, reducing operational inefficiencies, minimizing user errors, and enabling users to book tickets conveniently from multiple devices. The system enhances administrative oversight through centralized order reporting and data management, while improving overall service reliability and user satisfaction. These findings imply that human-centered digital platforms can transform traditional public transportation services by increasing operational efficiency, scalability, and customer convenience. Furthermore, the study identifies areas for future improvement, such as incorporating predictive analytics for demand forecasting, dynamic seat allocation, and extended accessibility features to accommodate diverse user needs. The results provide practical insights for railway operators seeking to implement adaptive, reliable, and user-friendly ticket reservation systems, underscoring the value of integrating technology, usability, and real-time information in public transport services.
Application of the Fuzzy Time Series (FTS) Method to Estimate the Increase in Stunting at the North Sumatra BKKBN Manurung, Elisabet Diadora; Harahap, Ahir Yugo Nugroho
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.v16i2.283

Abstract

Stunting is one of the chronic nutritional problems that remains a major concern in Indonesia, particularly in North Sumatra Province. This condition occurs due to prolonged nutritional deficiencies that affect children’s physical growth and cognitive development. The National Population and Family Planning Agency (BKKBN) of North Sumatra plays an essential role in monitoring and reducing stunting rates. However, the prediction methods currently used are still conventional and have not utilized modern predictive technologies. As a result, the forecasting accuracy is often low because stunting data tends to be fluctuating and influenced by various dynamic factors. This study aims to apply the Fuzzy Time Series (FTS) method to predict the increase in stunting cases at BKKBN North Sumatra. The FTS method is selected because it can handle data uncertainty and non-linear patterns, making it more effective in recognizing trends in stunting cases over time. The data used in this study were obtained from BKKBN North Sumatra, consisting of the number of stunting cases in 2023 and 2024 across 33 districts and cities. The research stages include data collection, fuzzification, fuzzy relation formation, defuzzification, and the implementation of the results into a web-based application using PHP programming and MySQL as the database. The results show that the Fuzzy Time Series method can effectively predict the upward and downward trends of stunting cases, where 16 districts/cities experienced an increase and 17 districts/cities experienced a decrease in stunting numbers for the following year. The developed system helps BKKBN analyze data more quickly, accurately, and efficiently. Therefore, the application of the Fuzzy Time Series method proves to be effective as a decision-support tool for planning prevention and mitigation programs for stunting in North Sumatra.
Combination of Gada and GRA Methods in Decision Support System for Determining Permanent Employees Matondang, Riski Pransiskus; Sianturi, Charles Jhony Mantho
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.v16i2.284

Abstract

Determining permanent employees is an essential aspect of human resource management, as it affects the stability, productivity, and sustainability of a company. This decision-making process often faces challenges such as subjectivity in assessment and limitations in processing employee performance data. Therefore, a Decision Support System (DSS) is needed to assist management in determining permanent employees in a more objective, accurate, and structured manner. This study proposes a combination of Gada and Grey Relational Analysis (GRA) methods in the design of a web-based DSS at PT. Medan Bajaindo. The Gada method is applied to determine the weight of criteria based on their importance level, while the GRA method is used for ranking employee alternatives by calculating their closeness to the ideal solution. The system is developed on a web-based platform, making it accessible for management. The test results show that the combination of Gada and GRA methods can provide more accurate recommendations for determining permanent employees compared to manual evaluation. Thus, this system is expected to support companies in making decisions that are more objective, transparent, and efficient.
New Employee Recruitment Using Web-Based Oreste Method Nababan, Monica Nababan; Nurhayati, Nurhayati
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.v16i2.285

Abstract

Decisions taken in the long term will affect the quality and performance of the company in the long term. PT. Intan Havea Industry, as a rapidly growing company, faces challenges in selecting candidates who best meet the required criteria. The employee selection process is still subjective and time-consuming, so a system is needed that can support decision making objectively and efficiently. This study aims to design and develop a Decision Support System (DSS) that can help PT. Intan Havea Industry in selecting new employees more effectively and efficiently. The method used in this system is ORESTE (Organization, Ranking, and Evaluation of Socio-Technical and Environmental Factors), which is able to evaluate various relevant criteria in the employee requirements process. The ORESTE method was chosen because of its ability to handle multi-criteria problems and provide objective results based on comparisons between candidates. The system is built web-based, allowing flexible access and can be integrated with various devices. This system accepts input data in the form of assessment criteria for each candidate and interview results, and provides candidate rankings sorted based on the evaluation value of the ORESTE method. System testing shows that this application can provide recommendations for the right candidates based on objective analysis, minimize subjective bias, and speed up the selection process. The results of this study are expected to contribute to the development of a web-based information system that can support more accurate decision making in the employee recruitment process at PT. Intan Havea Industry and other companies. With this system, it is hoped that the employee recruitment proces
Location Based Employee Attendance App with WFA Support and Real Time Location Monitoring Fahri, Muhammad Fahri; Siregar, Elida Tuti
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.v16i2.286

Abstract

The attendance system is an important component in supporting the operational effectiveness of institutions, including the Mentari Meraki Asa Foundation (YMMA), which has a decentralized and dynamic work pattern. This study aims to develop a location-based employee attendance system with Work From Anywhere (WFA) features and real-time location monitoring. The system was designed using the Fishbone Diagram approach to analyze the root causes of problems and developed using web and Android-based technologies. The design process included identifying system requirements, implementing geofencing and GPS technologies for location validation, and establishing multi-layer authentication through additional verification for attendance outside the main location. Real-time location monitoring was implemented to enhance the accuracy of attendance data. The system was tested through functionality testing, location accuracy testing, and user experience testing. The results showed that the developed attendance system is capable of accurately recording attendance, supporting employee mobility, and improving operational efficiency. This research contributes to the development of modern attendance systems that are adaptive to flexible work patterns and can be implemented as a reference for future attendance system development.
Mekro Bisnis Center IoT-Based Housing Security System with Automatic Barrier Using e-KTP Verification and Sound Indicators Dzikri, Muhammad Aidil; Rahman, Maulia
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

Abstract

Residential security is an essential aspect of ensuring the comfort and safety of residents. However, the use of conventional systems such as manual security guards and barrier gates without identity verification is still commonly found, including at the Mekro Business Center Housing Complex. Problems arising from these systems include inefficiency, the potential for unauthorized access, and limitations in manual surveillance by security personnel. To address these issues, an automated system is needed to manage residential access in real-time and enhance overall security. This study aims to develop a security system based on the Internet of Things (IoT) using an automatic barrier gate equipped with e-KTP verification via RFID and a sound indicator for real-time notifications. The system was designed using the Fishbone Diagram approach as a reference in designing the components and workflow of the security system. The tools used include an ESP32 microcontroller, RFID RC522 module, infrared sensor, buzzer, and DFPlayer Mini speaker, all integrated with the Blynk application and a monitoring website. The testing process was conducted experimentally using the blackbox method through a miniature physical prototype simulation in six different scenarios. Out of 35 total tests, the system responded correctly 30 times under online conditions, achieving a 100% success rate in scenarios involving authorized access, unauthorized access, intrusion attempts, emergency access, and control via the application. All tests under offline conditions failed due to the lack of internet connectivity. The results show that this system can improve the efficiency and reliability of automatic access control in residential environments and support the performance of security personnel.

Page 6 of 7 | Total Record : 61

 3   4   5   6   7 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies Vol. 16 No. 1 (2025): April, Jurnal ICT : Information and Communication Technologies Vol. 15 No. 2 (2024): October, Jurnal ICT : Information and Communication Technologies Vol. 15 No. 1 (2024): April, Jurnal ICT : Information and Communication Technologies Vol. 14 No. 2 (2023): October, Jurnal ICT : Information and Communication Technologies Vol. 14 No. 1 (2023): April, Jurnal ICT : Information and Communication Technologies Vol. 13 No. 2 (2022): October, Jurnal ICT : Information and Communication Technologies Vol. 13 No. 1 (2022): April, Jurnal ICT : Information and Communication Technologies Vol. 12 No. 2 (2021): October, Jurnal ICT : Information and Communication Technologies Vol. 12 No. 1 (2021): April, Jurnal ICT : Information and Communication Technologies