cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Wandi Syahindra
Contact Email
wandi.syahindra@iaincurup.ac.id
Phone
+6285268383345
Journal Mail Official
arcitech.journal@iaincurup.ac.id
Editorial Address
Jl. Dr. AK Gani No. 01 Curup, Rejang Lebong Bengkulu Indonesia
Location
Kab. rejang lebong,
Bengkulu
INDONESIA
Arcitech: Journal of Computer Science and Artificial Intelligence
Published by Institut Agama Islam Negeri Curup
ISSN : 29623669     EISSN : 29622360     DOI : http://dx.doi.org/10.29240/arcitech
Core Subject : Science,
Computer Science & IT
Arcitech: Journal of Computer Science and Artificial Intelligence, is an Open Access and peer-reviewed journal published by the State Islamic Institute (IAIN) Curup. This journal focuses on the field of computer science and artificial intelligence covering all aspects of information technology, computer science, computer engineering, information systems, Software Engineering and its development, software engineering Computer networks, IoT, security systems, Simulation Modeling and Applied Computing, Computing High Performance, Image and speech processing, big data and data mining, and artificial intelligence. The journal is published by Institut Agama Islam Negeri (IAIN) Curup, online and printed twice a year, in June and December.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2024): June 2024" : 5 Documents clear
Sistem Informasi Pemesanan Tiket Berbasis Web Pada Agen "Rahayu Tiket" Ikhsan, Muhammad; Karindra, Aditya Akbar Rizky; Widayat, Jonathan Setya Widayat Setya; Santi, Indyah Hartami
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 1 (2024): June 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i1.10550

Abstract

Information technology has become an integral part of the ticket agent industry, enabling travel agents to improve operational efficiency and provide better service to customers. This research aims to investigate and implement a web-based ticket booking system at the "Rahayu" travel agent with the aim of expanding the geographical scope of their services. By combining related literature and relevant web references, we designed, developed and tested a ticket booking system prototype. The results show that implementing this system can increase customer comfort, operational efficiency and order accuracy, further expanding customer coverage
Computer-Controlled Automation of Coffee Bean Drying and Grinding System menggunakan Sensor Infra Red dan Sensor Fototransistor Syahindra, Wandi; Murlena, Murlena
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 1 (2024): June 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i1.10851

Abstract

This study aims to design and implement an automation system for drying and grinding coffee beans using infrared sensors and phototransistors controlled by a computer. Traditional methods are often inefficient and have a high risk of contamination. The automation system, utilizing advanced sensor technology, is expected to improve the efficiency and cleanliness of the coffee bean processing. The research methodology involves designing a system consisting of key components such as infrared sensors to detect moisture, phototransistors to measure light intensity, and actuators driven by stepper motors and DC motors. The research results show that this system can reduce drying and grinding time, improve process accuracy, and decrease manual labor involvement. Simulations and system prototypes demonstrate that this automation system can be practically applied, enhancing the efficiency and cleanliness of the coffee bean processing. In conclusion, this automation system can reduce contamination risk, increase productivity, and lower operational costs in the coffee processing industry.
Analisis Sentimen di Youtube Terhadap Kenaikan UKT Menggunakan Metode Support Vector Machine Wahyuni, Nur Aisyah; Ayu, Dinda Putri; Irsyad, Hafidz
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 1 (2024): June 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i1.10829

Abstract

Students and the general public usually have different responses to the increase in Single Tuition Fees (UKT) at universities. Protests, complaints, and support for this increase may be expressed through various social media platforms, such as YouTube. Using the Support Vector Machine (SVM) method, this study analyzes comments on the YouTube platform related to the increase in UKT. Comment data is divided into three categories: positive, negative, and neutral. The evaluation results show that the SVM model achieves an accuracy of 0.88; it also demonstrates good ability to recognize negative sentiment with a precision of 0.83, recall of 0.90, and f1-score of 0.86. For neutral sentiment, the model shows a precision of 0.86, recall of 0.75, and f1-score of 0.80. Nevertheless, the SVM model achieves perfect scores for precision, recall, and f1-score of 1.00 for positive sentiment. Although the SVM model has proven effective in analyzing sentiment towards the increase in UKT on YouTube, further improvements are needed to enhance accuracy in identifying neutral sentiment.
Implementasi Sistem Informasi Administrasi Prodi PTIK Universitas Bung Hatta Khairi, Ashabul; Diasno, Renonaldy Pratama
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 1 (2024): June 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i1.11032

Abstract

This study aims to develop a web-based administrative information system for the Program of Educational Technology and Computer Engineering at Universitas Bung Hatta, replacing the previously used manual methods. The developed system is designed to manage student thesis data, lecturer documents, and accreditation processes. The development method applied is the waterfall model, which includes stages of analysis, design, coding, testing, and maintenance. Results from validation testing indicate that the system is ready for use and suitable for further research. The information system features menus such as academic, administration, lecturers, alumni, and news, and utilizes a MySQL database. The use of responsive PHP programming facilitates data access and processing. The implementation of this system is expected to enhance the efficiency and effectiveness of administrative management and simplify the accreditation process for the PTIK program.
Analisis Sentimen Opini Publik terhadap Kasus Korupsi Timah di Youtube Menggunakan Metode Oversampling dan Algoritma Decision Tree Pramudiya, Relin; Kadafi, Aldo; Udjulawa, Daniel
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 1 (2024): June 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i1.10472

Abstract

This study analyzes public opinion regarding the corruption case of PT. Timah (Tbk), which caused state losses of up to IDR 271 trillion, through YouTube comments. The methods used are the Decision Tree algorithm and the SMOTE Oversampling method. A total of 2501 comments were collected and processed. The stages include data preprocessing, sentiment labeling, and model training. The results show that the use of SMOTE improves the accuracy and performance of the model. With SMOTE, the model achieves an accuracy of 56%, a precision of 0.55, a recall of 0.55, and an F1-score of 0.55, while without SMOTE, the model only achieves 54%, a precision of 0.52, a recall of 0.52, and an F1-score of 0.52. Precision, recall, and F1-score also increase when using SMOTE. This study highlights the importance of the Oversampling technique in dealing with class imbalance to improve the accuracy and sentiment analysis model. These results make a significant contribution to sentiment analysis, highlighting the role of SMOTE in overcoming class imbalance and creating a more accurate model.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2025): December 2025 Vol. 5 No. 1 (2025): June 2025 Vol. 4 No. 2 (2024): December 2024 Vol. 4 No. 1 (2024): June 2024 Vol. 3 No. 2 (2023): December 2023 Vol. 3 No. 1 (2023): June 2023 Vol. 2 No. 2 (2022): December 2022 Vol. 2 No. 1 (2022): June 2022 Vol. 1 No. 2 (2021): December 2021 Vol. 1 No. 1 (2021): June 2021