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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 : -
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 16 Documents
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Desain Penerapan Tools Outomasi Penentuan Status Gizi Balita Pada Sistem Posyandu Menggunakan Naive Bayes Nugroho, Didik; Tomo, Sri; Arie Febrianto, Raden
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 2 No. 2 (2025): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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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 Yuniawan, Ika Pradipta; Sukoco, Muhammad Rizqi Tari; Nugraheni, Nisa Rahmasanita; Putra, Razcha Fakhru; Ilyasa, Afif
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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 Kirana Wardana, Adam Candra; Remawati, Dwi; Susyanto, Teguh
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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 Aji Sudrajat, Ilham; Hasbi, Muhammad; Laksito Yuli Saptomo, Wawan; Widada, Bebas; Kusumaningrum, Andriani
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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 Harjanto, Sri; Pandhu Sudibya, Gilang; Kusumaningrum, Adriani
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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) Pulanggeni, Riko; Harsadi, Paulus; Sandradewi, Kumaratih; Febrianto, Raden Arie; Irawati, Tri
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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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.

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