Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
type: channel
description: This journal publication published by Research, Education, Development and Technology Putra Benua (REDTECH PUTRA BENUA). Contains scientific articles from academics, researchers and observers of information technology, computer engineering and artificial intelligence.
publisher: Redtech Putra Benua
language: en
publication name: Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
issn: 3063-1998
items: Design and Development of a Client-Server Architecture Database Information System for Inventory Management and Transaction Efficiency
items: Pengembangan Sistem Informasi Terintegrasi Untuk Prediksi Persediaan Penjualan Lele Berbasis Machine Learning di Taman Wisata Jantipark
items: Analisa Pengaruh Pemanfaatan Hotspot Terhadap Indek Prestasi Mahasiswa Universitas Tiga Serangkai
items: Penerapan Metode Multi-Objective Optimization By Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Pemilihan Motor Bekas Terbaik ( Studi Kasus di Assalam Motor)
items: Aplikasi Sistem Pakar Pendeteksi Kerusakan Pada Mesin Bubut Menggunakan Metode Forward Chaining
items: Sistem Pendukung Keputusan Karyawan Magang Menjadi Karyawan Tetap Divisi Mekanik Menggunakan Metode AHP dan TOPSIS ( Studi Kasus di Raihan Motor)
items: Analisis Perubahan Vegetasi Untuk Indentifikasi Wilayah Di Kabupaten Sukoharjo Menggunakan Normalized Difference Vegetation Index
items: Analisis Perilaku Penggunaan Smartphone dan Prediksi Kualitas Tidur Menggunakan Metode Statistik dan Machine Learning
items: Perancangan IT Masterplan Berbasis COBIT 2019, ITIL v4, dan ISO/IEC 38500 dalam Mendukung Transformasi Digital pada Toko Parfum X
items: Desain Penerapan Tools Outomasi Penentuan Status Gizi Balita Pada Sistem Posyandu Menggunakan Naive Bayes
items: https://journal.redtechidn.org/index.php/itcea/article/view/28
items: User Satisfaction Evaluation of Meta AI Integration in WhatsApp: A Quantitative EUCS Approach
items: Detection of H1N1 Sequence Alignment with Basic Local Alignment Search
items: Exploring User Experiences of Chat GPT and Google Gemini AI : A SUS and EUCS Approach
items: Metode Naïve Bayes Untuk Prediksi Waktu Produksi Mebel di UD. Wali Barokah Kartasura Sukoharjo Jawa Tengah
items: Analisis Perilaku Pengguna Website Sistem Informasi Akademik Universitas Veteran Bangun Nusantara Sukoharjo Menggunakan Technology Acceptance Model (TAM)
items: Penerapan Metode First In First Out Pada Sistem Manajemen Persediaan Stok Janti Park
items: Analisa Tingkat Kepuasan Pengguna Website Badan Kepegawaian, Pendidikan, Dan Pelatihan Daerah Pemerintah Kabupaten Boyolali Menggunakan Metode End User Computing Satisfaction
items: Sistem Pendukung Keputusan Pemberian Kredit Dengan Metode Perbandingan Eksponensial (MPE). (Studi Kasus: KSPPS Aneka Dana Syariah)
items: KangSayur Application Interface Design Using Design Thinking Method and System Usability Scale

Design and Development of a Client-Server Architecture Database Information System for Inventory Management and Transaction Efficiency
type: item
description: 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.
subject: Articles
  topic: section
subject: Relational Database
  topic: keywords
subject: Client-Server,
  topic: keywords
subject: Bengkelqu-AI
  topic: keywords
subject: Inventory
  topic: keywords
subject: Transaction
  topic: keywords
subject: MySQL, PHP.
  topic: keywords
creator: Afifah Trista Ayunda
creator: Master Edison Siregar
creator: Ephraim Eleazer Reva Manopo
creator: Rizky Anggara Wicaksono
creator: Jeremy Nugrahanto Kotten
rights: Copyright (c) 2025 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-20
publication date: 2025-07-20
starting page: 97
ending page: 103

Pengembangan Sistem Informasi Terintegrasi Untuk Prediksi Persediaan Penjualan Lele Berbasis Machine Learning di Taman Wisata Jantipark
type: item
description: 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.
subject: Articles
  topic: section
subject: Prediction
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Single Exponential Smoothing
  topic: keywords
subject: Confusion Matrix
  topic: keywords
subject: Inventory
  topic: keywords
creator: Didik Nugroho
creator: Aninda Dyah Hayu Pinasti Putri
creator: Bebas Widada
creator: Raden Arie Febrianto
creator: Sri Tomo
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-08
publication date: 2026-07-08
starting page: 194
ending page: 201

Analisa Pengaruh Pemanfaatan Hotspot Terhadap Indek Prestasi Mahasiswa Universitas Tiga Serangkai
type: item
description: 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).
subject: Articles
  topic: section
subject: Hotspot
  topic: keywords
subject: Student Achievement Index
  topic: keywords
subject: Tiga Serangkai University
  topic: keywords
subject: SPSS
  topic: keywords
subject: SWOT
  topic: keywords
creator: Kustanto
creator: Salim
creator: Dwi Remawati
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-08
publication date: 2026-07-08
starting page: 183
ending page: 193

Penerapan Metode Multi-Objective Optimization By Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Pemilihan Motor Bekas Terbaik ( Studi Kasus di Assalam Motor)
type: item
description: 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.
subject: Articles
  topic: section
subject: Decision Support System, MOORA, Used Motorcycles, Alternative Selection, Multi-Criteria
  topic: keywords
creator: Sri Hariyati Fitriasih
creator: Nur Rochman
creator: Kumaratih Sandradewi
creator: Bramasto Wiryawan Yudanto
creator: Prihanto Prihanto
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-08
publication date: 2026-07-08
starting page: 172
ending page: 182

Aplikasi Sistem Pakar Pendeteksi Kerusakan Pada Mesin Bubut Menggunakan Metode Forward Chaining
type: item
description: 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.
subject: Articles
  topic: section
subject: Forward Chaining
  topic: keywords
subject: Manufaktur
  topic: keywords
subject: Mesin Bubut
  topic: keywords
subject: MySQL
  topic: keywords
subject: Sistem Pakar
  topic: keywords
creator: Sri Harjanto
creator: Gilang Pandhu Sudibya
creator: Adriani Kusumaningrum
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-02-08
publication date: 2026-02-08
starting page: 158
ending page: 171

Sistem Pendukung Keputusan Karyawan Magang Menjadi Karyawan Tetap Divisi Mekanik Menggunakan Metode AHP dan TOPSIS ( Studi Kasus di Raihan Motor)
type: item
description: 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.
subject: Articles
  topic: section
subject: Decision Support System, AHP, TOPSIS, Interns, Permanent Employees
  topic: keywords
creator: Riko Pulanggeni
creator: Paulus Harsadi
creator: Kumaratih Sandradewi
creator: Raden Arie Febrianto
creator: Tri Irawati
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-02-03
publication date: 2026-02-03
starting page: 148
ending page: 157

Analisis Perubahan Vegetasi Untuk Indentifikasi Wilayah Di Kabupaten Sukoharjo Menggunakan Normalized Difference Vegetation Index
type: item
description: 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.
subject: Articles
  topic: section
subject: Green Open Space
  topic: keywords
subject: GIS
  topic: keywords
subject: NDVI
  topic: keywords
subject: Sukoharjo Regency
  topic: keywords
subject: Vegetation
  topic: keywords
creator: Ilham Aji Sudrajat
creator: Muhammad Hasbi
creator: Wawan Laksito Yuli Saptomo
creator: Bebas Widada
creator: Andriani Kusumaningrum
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-02-03
publication date: 2026-02-03
starting page: 133
ending page: 147

Analisis Perilaku Penggunaan Smartphone dan Prediksi Kualitas Tidur Menggunakan Metode Statistik dan Machine Learning
type: item
description: 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.
subject: Articles
  topic: section
creator: Adam Candra Kirana Wardana
creator: Dwi Remawati
creator: Teguh Susyanto
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 120
ending page: 132

Perancangan IT Masterplan Berbasis COBIT 2019, ITIL v4, dan ISO/IEC 38500 dalam Mendukung Transformasi Digital pada Toko Parfum X
type: item
description: 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 i…
subject: Articles
  topic: section
subject: IT Masterplan
  topic: keywords
subject: IT Governance
  topic: keywords
subject: COBIT 2019
  topic: keywords
subject: ITIL v4
  topic: keywords
subject: Digital Transformation
  topic: keywords
creator: Ika Pradipta Yuniawan
creator: Muhammad Rizqi Tari Sukoco
creator: Nisa Rahmasanita Nugraheni
creator: Razcha Fakhru Putra
creator: Afif Ilyasa
rights: Copyright (c) 2026 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 113
ending page: 119

Desain Penerapan Tools Outomasi Penentuan Status Gizi Balita Pada Sistem Posyandu Menggunakan Naive Bayes
type: item
description: 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%.
subject: Articles
  topic: section
subject: naive bayes
  topic: keywords
subject: balita
  topic: keywords
subject: gizi
  topic: keywords
subject: posyandu
  topic: keywords
subject: Confusion Matrix
  topic: keywords
creator: Didik Nugroho
creator: Sri Tomo
creator: Raden Arie Febrianto
rights: Copyright (c) 2025 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-08-18
publication date: 2025-08-18
starting page: 104
ending page: 112

https://journal.redtechidn.org/index.php/itcea/article/view/28
type: item
title: Sistem Pendukung Keputusan Penentuan Penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) Di Desa Banaran Kabupaten Sukoharjo Dengan Metode AHP (Analytical Hierarchy Process) dan SAW (Simple Additive Weighting)
description: The Direct Cash Assistance (BLT) program from the Village Fund is a government initiative aimed at alleviating the economic hardships of vulnerable communities, particularly during emergencies. In Banaran Village, Sukoharjo Regency, selecting appropriate recipients for BLT-DD is crucial to ensure that the aid reaches those who are most in need, including low-income individuals and people with disabilities. However, the process of selecting recipients involves complex criteria, such as family status, the number of dependents, and whether the individual is already receiving other social assistance. This research proposes a Decision Support System (DSS) that integrates the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods to determine the most eligible recipients of BLT-DD in Banaran Village. The AHP method is used to assign weights to various criteria, including family status (head of household, spouse, or child), the number of dependents, and current social assistance. The SAW method then ranks potential recipients based on these weighted criteria.
subject: Articles
  topic: section
subject: BLT
  topic: keywords
subject: Village Fund
  topic: keywords
subject: AHP
  topic: keywords
subject: SAW
  topic: keywords
subject: Vulnerable Groups
  topic: keywords
subject: Decision Support System
  topic: keywords
creator: Fitri Nur Azizah
creator: Ika Pradipta Yuniawan
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-16
publication date: 2025-01-16
starting page: 90
ending page: 103

User Satisfaction Evaluation of Meta AI Integration in WhatsApp: A Quantitative EUCS Approach
type: item
description: This study aims to evaluate user satisfaction with the integration of Meta AI technology in the WhatsApp application using the End User Computing Satisfaction (EUCS) model. The model encompasses five key dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Data was collected through questionnaires distributed to 44 respondents consisting of students, with the sample determined using the Slovin formula. The analysis revealed that overall user satisfaction falls into the "Satisfied" category, with the highest average score in the Content dimension (3.83) and the lowest in the Ease of Use dimension (3.45). The Ease of Use dimension requires special attention, as some users find Meta AI's navigation challenging. This study contributes to the development of Meta AI features in WhatsApp and serves as a reference for future studies focusing on user satisfaction evaluation
subject: Articles
  topic: section
subject: eucs
  topic: keywords
subject: meta ai
  topic: keywords
subject: quantitative evaluation
  topic: keywords
subject: user satisfaction
  topic: keywords
subject: whatsapp
  topic: keywords
creator: Pratama Angga Buana
creator: Yekti Adi Prasetyo
creator: Muhammad Muhsinin
creator: Muhammad Said Riza
creator: Ahmad Maulana Arif
creator: Andika Timur Prakoso
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-12-31
publication date: 2024-12-31
starting page: 77
ending page: 84

Detection of H1N1 Sequence Alignment with Basic Local Alignment Search
type: item
description: Bioinformatics is a science that studies the management and analysis of biological information. Bioinformatics includes application of mathematics, statistics, and informatics to biological problems to solve. Bioinformatics can store data generated by the genome project with regular and high degree of accuracy. Basic local alignment search is one of the methods used to process penyejajaran molecular data sequences. In 2009, there is a virus that attacks the respiratory tract that is the swine flu. The virus is spread around the world, so that retrieved the journal research on diverse virus DNA sequences in different endemic countries. Therefore, in this study will be explained about the process sequence alignment of the H1N1 swine flu virus. H1N1 Weiss AF 250365.2 and H1N1 Swine AF250364.2 have 90% similarity level.
subject: Articles
  topic: section
subject: Swine Influenza
  topic: keywords
subject: H1N1 Virus
  topic: keywords
subject: Sequence Alignment
  topic: keywords
creator: Retno Tri Vulandari
creator: Sri Harjanto
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-16
publication date: 2025-01-16
starting page: 85
ending page: 89

Exploring User Experiences of Chat GPT and Google Gemini AI : A SUS and EUCS Approach
type: item
description: This study evaluates user experience and satisfaction of two AI platforms, Chat GPT and Google Gemini, using the System Usability Scale (SUS) and End-User Computing Satisfaction (EUCS) approaches. The study involved 78 respondents from diverse backgrounds who provided evaluations based on five main dimensions of usability (Learnability, Efficiency, Memorability, Error, Pleasantness) and five dimensions of user satisfaction (Content, Accuracy, Format, Ease of Use, Timeliness). The results show that both platforms achieved a "Satisfied" category with an average usability and satisfaction score above 3.75. The lowest scores were recorded in Error and Timeliness variables, while Learnability and Format showed the highest scores. This study also revealed a significant positive correlation between usability and user satisfaction, providing recommendations for improvements in Error and Timeliness areas. These findings offer valuable insights for developing more user-friendly and responsive AI platforms in the future.
subject: Articles
  topic: section
subject: ChatGPT
  topic: keywords
subject: EUCS
  topic: keywords
subject: Google Gemini
  topic: keywords
subject: SUS
  topic: keywords
subject: Usability
  topic: keywords
subject: User Satisfaction
  topic: keywords
creator: Fausta Rizky Abriansah
creator: Nanda Dwi Kurniawan
creator: Praditya Rendi Ferdian
creator: Daffa Nurin Nabil Ma'arif
creator: Azmi Maulana Firdaus
creator: Pratama Angga
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-12-31
publication date: 2024-12-31
starting page: 68
ending page: 76

Metode Naïve Bayes Untuk Prediksi Waktu Produksi Mebel di UD. Wali Barokah Kartasura Sukoharjo Jawa Tengah
type: item
description: Wali Barokah is one of the industrial furniture craftsmen (furniture) with the main material using teak wood. The development of the times has made many furniture entrepreneurs appear, making the competition between furniture craftsmen increasingly tight. One way for customers not to be disappointed is that business voters must serve customers according to the specified time when transacting. The attributes that will be used in classifying the production time are the name of the item, the number of orders, the difficulty, the equipment, the number of workers. The method that will be used is the the method Naïve Bayes Classifier. Based on the results of the confusion matrix test on the nave Bayes method of the dataset that has been taken on the object of research, an accuracy rate of 80% is obtained or is included in the category Good. Meanwhile, Precision is 83% and Recall is 88%.
subject: Articles
  topic: section
creator: RM Abdul Dhohir Surya Kusuma
creator: Dwi Remawati
creator: Kumaratih Sandradewi
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-08-01
publication date: 2024-08-01
starting page: 58
ending page: 67

Analisis Perilaku Pengguna Website Sistem Informasi Akademik Universitas Veteran Bangun Nusantara Sukoharjo Menggunakan Technology Acceptance Model (TAM)
type: item
description: UNIVET BANTARA Sukoharjo has implemented a website which includes an academic information system. With this academic information system, it is intended that students can access information online anytime and anywhere. The website-based academic information system implemented by UNIVET BANTARA has undergone an update in 2019. So by updating the academic information system since 2019, it is hoped that students will feel comfortable in using the new system. Based on these problems, it is necessary to analyze the behavior of users of the new academic information system using the Technology Acceptance Model (TAM). The purpose of this study is to analyze the behavior of website users at Univet Bantara Sukoharjo by using the technology acceptance model method. In analyzing the data, the author uses Partial Least Squares (PLS) analysis, and the author develops an application to test the technology acceptance model method with the PHP programming language. The results showed that five of the six proposed hypotheses had a significant positive effect on the dependent variable with an effect value of 0,653 (65,3%), 0,447 (44,7%), 0,677 (67,7%), 0,520 (52,0%), 0,605 (60,5%) and one hypothesis had a significant negative effect on the value of 0,170 (17,0%)
subject: Articles
  topic: section
subject: Technology Acceptance Model (TAM)
  topic: keywords
subject: analisis
  topic: keywords
subject: website
  topic: keywords
subject: Partial Least Squares (PLS)
  topic: keywords
creator: Asep Permadi
creator: Tri Irawati
creator: Bebas Widada
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-07-31
publication date: 2024-07-31
starting page: 47
ending page: 57

Penerapan Metode First In First Out Pada Sistem Manajemen Persediaan Stok Janti Park
type: item
description: In meeting consumer needs, optimal inventory management is needed so that there is no shortage of goods resulting in loss of consumers and profit opportunities. This study aims to apply the stock inventory management method at Janti Park by creating an inventory management application that can be used as a basis for controlling and optimizing stock inventory at Janti Park. The method used to analyze the problem is Fishbone Analysis. Data collection methods through interviews, observations, and literature studies. Then the method used for system development is Waterfall, and uses the First In First Out method in managing inventory data. At the system testing stage, the method used is Black Box Testing to test functionality and a Likert scale questionnaire to test validity. The results obtained from this research are in the form of a website-based inventory management application and produce output in the form of reports on purchasing and issuing goods transactions. Based on the results of the tests that have been carried out, it is proven that the First In First Out method can be applied to the Janti Park inventory management system with a system validity test result of 90.8%, with very agreeing criteria.
subject: Articles
  topic: section
subject: First In First Out
  topic: keywords
subject: management
  topic: keywords
subject: stok
  topic: keywords
subject: inventori
  topic: keywords
creator: Rafinda Shinta
creator: Budi Hartanto
creator: Yustina Retno Wahyu Utami
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-07-31
publication date: 2024-07-31
starting page: 35
ending page: 46

Analisa Tingkat Kepuasan Pengguna Website Badan Kepegawaian, Pendidikan, Dan Pelatihan Daerah Pemerintah Kabupaten Boyolali Menggunakan Metode End User Computing Satisfaction
type: item
description: The Boyolali District Civil Service, Education, and Training Agency (BKP2D) serves as a platform for exchanging information with Civil Servants (PNS) in Boyolali Regency. The Boyolali Regency Government continuously develops and improves the website to ensure the quality and satisfaction of its users. However, the level of user satisfaction with the BKP2D website among its users is not yet known. Therefore, the End User Computing Satisfaction (EUCS) method is employed to determine the extent of user satisfaction with the website. This method involves measuring variables that encompass content, accuracy, format, ease of use, and timeliness. The BKP2D website for Boyolali Regency can be accessed at http://bkp2d.boyolali.go.id/. The research was conducted by distributing questionnaires through Google Forms to 379 respondents. The data from the questionnaires were processed using SPSS for descriptive statistical analysis. The research results indicate an average score of 3.29 (satisfied), which means that users generally find the BKP2D website satisfactory
subject: Articles
  topic: section
subject: website
  topic: keywords
subject: bkp2d
  topic: keywords
subject: eucs
  topic: keywords
subject: satisfaction
  topic: keywords
creator: Yuliana Agustiningsih
creator: Sri Harjanto
creator: Setiyowati
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-07-31
publication date: 2024-07-31
starting page: 20
ending page: 34

Sistem Pendukung Keputusan Pemberian Kredit Dengan Metode Perbandingan Eksponensial (MPE). (Studi Kasus: KSPPS Aneka Dana Syariah)
type: item
description: KSPPS Aneka Dana Syariah Surakarta is a business entity or organization owned and operated by its members to fulfill common interests in the field of savings and loans. The main problem in this research is that there is an increase in the number of prospective customers who wish to apply for motorbike loans at KSPPS Aneka Dana Syariah. In the old system that has been running in determining prospective customers based on one capital criterion and ignoring other criteria such as: Character, Capacity, Capital, Collateral and Condition, so that the decision results are not quite right. The purpose of this study is to create a decision support system for selecting prospective customers using the Exponential Comparison Method. This method was chosen because it can carry out a ranking process based on criteria and weights and is able to determine the best alternative. The method in this research is through interviews, observation, and literature study. System design is made with diagrams, Hierarchy Input Process Output, Diagram Arus Data, relationships between tables and database design. The system is created in a program with the PHP programming language. The end result of this application program is a prospective customer report, the overall selection report and the best selection report. The results of functional testing by black-box method showed that the system ran as expected and the functions of the application ran properly. The results of testing the system that has been carried out obtained valid results.
subject: Articles
  topic: section
subject: Employee
  topic: keywords
subject: Cooperative
  topic: keywords
subject: Exponential
  topic: keywords
subject: Credit
  topic: keywords
subject: MPE
  topic: keywords
creator: Yanuar Muhammad Fadli
creator: Andriani Kusumaningrum
creator: Bebas Widada
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-07-31
publication date: 2024-07-31
starting page: 9
ending page: 19

KangSayur Application Interface Design Using Design Thinking Method and System Usability Scale
type: item
description: Problems that often occur in buying and selling vegetables include problems related to the quality of vegetables received by consumers, payment methods that still apply traditional models and the unavailability of vegetables among sellers causing inefficient use of time. The existence of the KangSayur application can facilitate ordering vegetables by keeping the quality of vegetables fresh when they arrive at consumers, various payment methods and the availability of vegetables that can be monitored via cellphones. This research aims to apply the design thinking method to the design of the KangSayur application user interface. The final result of this research is the UI/UX design of KangSayur application with user experience analysis using the system usability scale (SUS) testing method to determine the effectiveness of the application in its use. This research process consists of making UI/UX design using figma tools and design thinking method which has several stages including empathize, define, ideate, prototype and test.
subject: Articles
  topic: section
subject: Design Thinking
  topic: keywords
subject: System Usability Scale
  topic: keywords
subject: User Interface
  topic: keywords
subject: Vegetables
  topic: keywords
creator: Fadmi Rina
creator: Muhammad Mufti Ardani
creator: Umi Inayatul Hidayah
creator: Miftahur Rohmah
rights: Copyright (c) 2024 Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-07-31
publication date: 2024-07-31
starting page: 1
ending page: 8