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Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Published by CV Redtech Putra Benua
ISSN : 30631998     EISSN : 30631998     DOI : 10.67838
Core Subject : Science,
Computer Science & IT
ournal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) is a journal publication formed and published by Research, Education, Development and Technology Putra Benua (REDTECH PUTRA BENUA). This journal contains scientific articles from academics, researchers and observers of information technology, computer engineering and artificial intelligence. The ITCEA Journal is published 2 times a year in August and February. This journal presents articles in the fields of information technology, computer engineering, artificial intelligence and all related scientific fields. Focus and Scope : Artificial Intelligence Big Data Causal Modeling Cloud Computing Computer Graphics and Multimedia Computer Networks Computer Vision Databases Deep Learning Digital Forensics and Security Educational Technology Human-Computer Interaction Information Systems Information Theory Intelligent System Internet of Things Machine Learning Medical Informatics Pattern Recognition Soft Computing Software Systems Text Analytics Wireless Communication
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
 1   2 
Desain Penerapan Tools Outomasi Penentuan Status Gizi Balita Pada Sistem Posyandu Menggunakan Naive Bayes Didik Nugroho; Sri Tomo; Raden Arie Febrianto
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 2 No. 2 (2025): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Abstract

Status gizi adalah salah satu tolok ukur perkembangan anak.  WHO menetapkan 3 tabel untuk menentukan kondisi perkembangan balita yaitu Umur balita dan berat badan (C1) ,  Usia  dan Tinggi badan (C2), dan   Standar Berat Badan Menurut Tinggi Badan (C3). Lalu bagimana berdasrkan tiga tabel tersebut dapat dioakai untuk menentukan status gizi anak. Hal ini masih menyulitkan bagi kader posyandu. Maka perlu dikembangkan sistem yang mampu menentukan status gizi . Penelitian ini menggunkan data training , serta dengan data testing berdasarkan data observasi . Penentuan status gizi menggunakan metode Naïve Bayes  , pengujian menggunakan Confusion  Matrix. Hasil penelitian ini berhasil membuat sistem yang mampu menentukan status gizi, berdasarkan hasi uji data testing menunjukan nilai 100%.
Perancangan IT Masterplan Berbasis COBIT 2019, ITIL v4, dan ISO/IEC 38500 dalam Mendukung Transformasi Digital pada Toko Parfum X Ika Pradipta Yuniawan; Muhammad Rizqi Tari Sukoco; Nisa Rahmasanita Nugraheni; Razcha Fakhru Putra; Afif Ilyasa
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Digital transformation has become a critical necessity for retail SMEs such as Toko Parfum X to enhance competitiveness and operational efficiency. However, challenges such as fragmented system integration, unstructured IT governance, lack of IT strategic planning, and inadequate information security management hinder sustainable digital transformation. This study aims to design a comprehensive IT Masterplan by integrating the COBIT 2019, ITIL v4, and ISO/IEC 38500 frameworks to support effective digital transformation at Toko Parfum X (disguised name for Toko Parfum X). The research employs a descriptive qualitative approach with a case study method, involving triangulation data collection (observation, in-depth interviews with owners and operational staff, and literature study), data processing through thematic analysis and integrated framework assessment. The COBIT 2019 framework was applied to assess IT governance maturity, ITIL v4 for IT service management evaluation, and ISO/IEC 38500 for IT-business strategic alignment. ISO/IEC 27001 principles were integrated for information security considerations. Based on in-depth analysis, Toko Parfum X's IT condition is at an initial maturity level (COBIT 2019 level 1–2). The designed IT Masterplan comprises five main components: (1) IT strategic direction aligned with business objectives, (2) prioritized IT project portfolio addressing system integration and security, (3) a phased 5-year implementation roadmap, (4) IT risk management plan incorporating information security controls, and (5) key performance indicators (KPIs) for measuring IT contribution to business value. The masterplan specifically addresses integration of POS, inventory, and marketplace systems; cloud migration; IT Service Management implementation; and information security enhancement. The resulting IT Masterplan provides a structured and applicable solution to address IT governance, service management, and security gaps at Toko Parfum X, using an integrative approach that combines strategic, governance, operational, and security aspects. The research findings can serve as a reference model for other retail SMEs in designing comprehensive IT strategies aligned with business needs, resource capacities, and digital transformation requirements.
Analisis Perilaku Penggunaan Smartphone dan Prediksi Kualitas Tidur Menggunakan Metode Statistik dan Machine Learning Adam Candra Kirana Wardana; Dwi Remawati; Teguh Susyanto
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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The rapid growth of smartphone and social media usage has reshaped daily digital behavior and raised increasing concerns regarding its potential impact on sleep patterns. This study investigates the relationship between digital usage behavior, psychological factors, and sleep outcomes using an integrated data science approach. A publicly available Social Media Mental Health Indicators dataset from Kaggle was utilized, comprising 5,000 observations that capture screen time, social media activity, digital interactions, psychological conditions, and sleep duration. Data analysis was conducted through a structured pipeline involving data preprocessing, exploratory data analysis, clustering, and supervised machine learning for classification and regression tasks. Exploratory analysis indicates consistent negative associations between screen-related variables and sleep duration. Clustering analysis reveals distinct behavioral groups characterized by different levels of digital engagement and sleep patterns. Furthermore, Random Forest models demonstrate reliable performance in both sleep quality classification and sleep duration prediction, highlighting their effectiveness in modeling complex and non-linear relationships. Feature importance analysis identifies screen time, social media intensity, and negative digital interactions as dominant contributors to sleep-related outcomes. These findings emphasize the value of combining statistical exploration and machine learning techniques to obtain a comprehensive understanding of how digital behavior relates to sleep, providing empirical support for data-driven evaluation of healthier digital habits.
Analisis Perubahan Vegetasi Untuk Indentifikasi Wilayah Di Kabupaten Sukoharjo Menggunakan Normalized Difference Vegetation Index Ilham Aji Sudrajat; Muhammad Hasbi; Wawan Laksito Yuli Saptomo; Bebas Widada; Andriani Kusumaningrum
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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This study aims to analyze the changes in vegetation density in Sukoharjo Regency over the past five years using the NDVI method. This research was conducted due to the rapid rate of land use change triggered by the rapid population growth from year to year as it is currently, causing a rapid rate of land use change in Sukoharjo Regency. Previous studies have shown that, increasing land-use change without considering green open space will have a very negative impact on the environment in the area. Geographic Information Systems are needed to see the type of vegetation in the research area, the NDVI method is used because this method provides simplicity to be a starting point in analyzing vegetation and is very suitable for use for long-term temporal data comparison. The research findings reveal a substantial change in land use over the past five years, with an increase of 749.28 hectares or 15.24% from the baseline year of 2020 to 2024. The results of this analysis provide important information for the public works and spatial planning department, as it can be used as input in conducting regional spatial planning and environmental management in the future.
Aplikasi Sistem Pakar Pendeteksi Kerusakan Pada Mesin Bubut Menggunakan Metode Forward Chaining Sri Harjanto; Gilang Pandhu Sudibya; Adriani Kusumaningrum
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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A lathe machine is a tool capable of cutting metal into specific shapes, qualities, and dimensions as planned. Damage to a lathe machine is often difficult to identify and requires specialized handling; it typically needs to be transported to a workshop, which is both time-consuming and labor-intensive. Therefore, it is necessary to develop an expert system using the Forward Chaining algorithm to diagnose malfunctions in lathe machines. Forward Chaining is an inference method that initiates tracking by tracing data based on the facts of the observed symptoms. These symptoms are compared against standard rules and processed to generate solutions for the identified issues. The expert system is designed as a web-based application using the PHP programming language and a MySQL database. This system is intended to assist lathe machine operators and novice mechanics in identifying and addressing damages based on observed symptoms. Validation testing of this web-based expert system yielded a result of 83.3%, demonstrating its effectiveness in assisting users.
Sistem Pendukung Keputusan Karyawan Magang Menjadi Karyawan Tetap Divisi Mekanik Menggunakan Metode AHP dan TOPSIS ( Studi Kasus di  Raihan Motor) Riko Pulanggeni; Paulus Harsadi; Kumaratih Sandradewi; Raden Arie Febrianto; Tri Irawati
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Abstract

The process of determining which interns are eligible for permanent appointment in the mechanics division at Raihan Motor is still conducted manually and subjectively, potentially leading to inconsistent decision-making. This study aims to develop a Decision Support System (DSS) that assists leaders in objectively and measurably determining the best interns. The Analytical Hierarchy Process (AHP) method is used to determine the importance weights of each assessment criterion, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank alternative employees based on the criterion weights. The assessment criteria used include discipline, technical skills, responsibility, teamwork, and work ethic. The results of the study indicate that the system can provide recommendations for interns eligible for permanent appointment based on the highest preference value, thereby making the decision-making process more objective, effective, and consistent.
Penerapan Metode Multi-Objective Optimization By Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Pemilihan Motor Bekas Terbaik ( Studi Kasus di  Assalam Motor) Sri Hariyati Fitriasih; Nur Rochman; Kumaratih Sandradewi; Bramasto Wiryawan Yudanto; Prihanto Prihanto
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 2 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Selecting a high-quality used motorcycle is complex because it involves multiple assessment criteria, including price, engine condition, year of manufacture, mileage, and completeness of the vehicle documents. At Assalam Motor, selecting the best used motorcycle remains a manual, subjective process that can lead to suboptimal decisions. Therefore, this study aims to develop a Decision Support System (DSS) to select the best motorcycle for use using the Multi-Objective Optimization by Ratio Analysis (MOORA) method. The MOORA method is used because it can handle multicriteria problems by effectively distinguishing between benefit and cost criteria. The developed system processes data on used motorcycles according to predetermined criteria and produces preference values to rank them. The study results indicate that the developed decision support system can provide recommendations on the best motorcycle to use in an objective, structured manner, thereby assisting Assalam Motor and consumers in making more precise, effective, and rational decisions.
Analisa Pengaruh Pemanfaatan Hotspot Terhadap Indek Prestasi Mahasiswa Universitas Tiga Serangkai Kustanto; Salim; Dwi Remawati
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 2 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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For the academic community at universities, particularly at Tiga Serangkai University, internet-based learning has become a mandatory part of a lecturer's e-learning program. To support this learning system, hotspot facilities are needed that can be accessed by both students and lecturers. The research questions in this activity are: (a) How many students have utilized hotspot facilities for study purposes (such as searching for literature for theses or assignments), (b) How much influence hotspot facilities have on the achievement index of students at Tiga Serangkai University. The purpose of this study was to determine the effect of hotspot facilities provided by the academic community on student achievement index. The results of the SPSS analysis indicate that hotspot facilities on campus have a 3,6% influence on student achievement index, while 86,4% is influenced by other factors not examined. Meanwhile, the SWOT analysis results indicate that the development of hotspot facilities draws considerable strength from the institution's existing facilities and is supported by the e-learning model implemented by lecturers. This allows the e-learning process at Tiga Serangkai University to run smoothly and effectively implement the institution's quality policy, thanks to consistently up-to-date information via the internet, which can be easily and flexibly accessed, particularly on campus (via Wi-Fi).
Pengembangan Sistem Informasi Terintegrasi Untuk Prediksi Persediaan Penjualan Lele Berbasis Machine Learning di Taman Wisata Jantipark Didik Nugroho; Aninda Dyah Hayu Pinasti Putri; Bebas Widada; Raden Arie Febrianto; Sri Tomo
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 2 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Jantipark is a tourist destination managed by Janti Village, Polanharjo District. It is a water park that offers child-friendly swimming pools, as well as tourist attractions such as outbound activities, and is commonly used for Outing Classes. In addition to tourist attractions and swimming pools, it also provides food catering services. A wide variety of food is sold here. One of the menus consists of fried catfish and grilled catfish, which are commonly ordered as side dishes for dine-in visitors or taken home as souvenirs. The management has previously made efforts by preparing catfish stocks; however, the stock often deviates from actual demand or sales. This research develops a stock prediction system for sales. The data collection method used is observation, while the system development utilizes PHP, MySQL, and the Single Exponential Smoothing algorithm. System testing is conducted using MAPE. The research results show that the difference between the predicted outcomes and real demand is around 3.81%, indicating that the variance is not highly significant.
Design and Development of a Client-Server Architecture Database Information System for Inventory Management and Transaction Efficiency Afifah Trista Ayunda; Master Edison Siregar; Ephraim Eleazer Reva Manopo; Rizky Anggara Wicaksono; Jeremy Nugrahanto Kotten
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 2 No. 2 (2025): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Transaction management and inventory control in automotive Micro, Small, and Medium Enterprises (MSMEs) often rely on manual record-keeping systems, leading to stock data discrepancies, accounting vulnerabilities, and operational inefficiencies. This study aims to design and implement a Client-Server database information system named Bengkelqu-AI (Accounting & Inventory) at Bengkel Zulva Motor. Data collection was conducted through structured interviews with the business owner to identify business entity requirements and daily transaction workflows. The system was developed using the PHP programming language, MySQL DBMS, Apache web server via the XAMPP package, and Visual Studio Code. The relational database design for dbpenjualan yielded five integrated tables (tvendor, tcustomer, tbarang, tpembelian, and tbpenjualan). The implementation results demonstrate that the system successfully facilitates data processing through Create, Read, Update, and Delete (CRUD) operations, automated report generation, and database backup features in .sql format. The deployment of the Bengkelqu-AI system is proven to enhance transaction recording accuracy, minimize potential losses due to human error, and simplify real-time inventory monitoring.

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