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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 11 Documents
 1   2 
KangSayur Application Interface Design Using Design Thinking Method and System Usability Scale Rina, Fadmi; Mufti Ardani, Muhammad; Inayatul Hidayah, Umi; Rohmah, Miftahur
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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.
Sistem Pendukung Keputusan Pemberian Kredit Dengan Metode Perbandingan Eksponensial (MPE). (Studi Kasus: KSPPS Aneka Dana Syariah) Muhammad Fadli, Yanuar; Kusumaningrum, Andriani; Widada, Bebas
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Abstract

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.
Analisa Tingkat Kepuasan Pengguna Website Badan Kepegawaian, Pendidikan, Dan Pelatihan Daerah Pemerintah Kabupaten Boyolali Menggunakan Metode End User Computing Satisfaction Agustiningsih, Yuliana; Harjanto, Sri; Setiyowati
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Abstract

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
Penerapan Metode First In First Out Pada Sistem Manajemen Persediaan Stok Janti Park Shinta, Rafinda; Hartanto, Budi; Retno Wahyu Utami, Yustina
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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.
Analisis Perilaku Pengguna Website Sistem Informasi Akademik Universitas Veteran Bangun Nusantara Sukoharjo Menggunakan Technology  Acceptance Model (TAM) Permadi, Asep; Irawati, Tri; Widada, Bebas
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Abstract

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%)
Metode Naïve Bayes Untuk Prediksi Waktu Produksi Mebel di UD. Wali Barokah Kartasura Sukoharjo Jawa Tengah Abdul Dhohir Surya Kusuma, RM; Remawati, Dwi; Sandradewi, Kumaratih
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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%.
Exploring User Experiences of Chat GPT and Google Gemini AI : A SUS and EUCS Approach Rizky Abriansah, Fausta; Dwi Kurniawan, Nanda; Rendi Ferdian, Praditya; Nurin Nabil Ma'arif, Daffa; Maulana Firdaus, Azmi; Angga, Pratama
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 2 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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. 
Detection of H1N1 Sequence Alignment with Basic Local Alignment Search Vulandari, Retno Tri; Harjanto, Sri
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 2 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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.
User Satisfaction Evaluation of Meta AI Integration in WhatsApp: A Quantitative EUCS Approach Buana, Pratama Angga; Prasetyo, Yekti Adi; Muhsinin, Muhammad; Riza, Muhammad Said; Arif, Ahmad Maulana; Prakoso, Andika Timur
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 2 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
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Abstract

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
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) Nur Azizah, Fitri; Pradipta Yuniawan, Ika
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 2 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

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.

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