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All Journal Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Arcitech: Journal of Computer Science and Artificial Intelligence
Murlena, Murlena
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Journal : Arcitech: Journal of Computer Science and Artificial Intelligence

 1 
Sistem Pendukung Keputusan Siswa SMKN 1 Kota Bengkulu dalam Menentukan Pemilihan Perguruan Tinggi Menggunakan Metode Simple Additive Weighting (SAW) Apriana, Diwi; Murlena, Murlena; Kaseri, Kaseri; Handayani, Nurfitri; Widyastuti, Rini
Arcitech: Journal of Computer Science and Artificial Intelligence Vol 3, No 1 (2023)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v3i1.7862

Abstract

At this time education is very important, in addition to gaining knowledge, the level of education is usually very decisive in finding work and supporting skills, there are many third-grade high school or vocational high school students who find it very difficult to determine which college to choose, this is usually because of the lack of information about the university you want to go to, such as tuition fees, campus facilities, the distance of the campus from the city center, and most importantly, the accreditation of each campus itself. As is known at this time mainly private universities in the city of Bengkulu. Therefore, to solve this problem an appropriate decision support system method is needed to help students. The SAW method is used to determine the selection of tertiary institutions as a process model and the TAM model is used to see responses from respondents based on the influence of acceptance, usability and usefulness variables. From the results of the research conducted, the acceptance rate reached 10.2%, which means that the university selection system using the SAW method is acceptable.
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)
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.
Perancangan Aplikasi Administrasi Pada Fakultas Keguruan dan Ilmu Pendidikan Menggunakan Java Netbeans Ide 8.1 dan Mysql Widyastuti, Rini; Amelia, Riska; Gea, Yufen Yuliandri; Murlena, Murlena; Syahindra, Wandi
Arcitech: Journal of Computer Science and Artificial Intelligence Vol 2, No 2 (2022)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v2i2.6498

Abstract

Faculty of Teacher Training and Administrative Education is an administrative service at Bung Hatta University, Padang City. The data collection process for incoming and outgoing letters at the FKIP Administrative Unit is still said to be using the manual method. This study aims to produce a desktop-based administrative information system at the Teaching and Education Faculty with the aim of facilitating managers in recording incoming and outgoing mail numbers. This study uses the waterfall method with the design stages starting from analysis, system design using models including Context Diagrams, Data Flow Diagrams (DFD), and Unified Modeling Language (UML). Database storage using MySQL. The design phase ends with testing the program to produce an administration application at the Bung Hatta University FKIP using Java Netbeans IDE 8.1 and MySQL. This application can facilitate and speed up the process of data collection and search for incoming and outgoing mail numbers in the FKIP Administration.
Sistem Absensi Online Berbasis Website Studi Kasus: Program Studi Ilmu Komputer Universitas Pat Petulai Karlina K, Yuni; Andayani, Nurfitri; Murlena, Murlena
Arcitech: Journal of Computer Science and Artificial Intelligence Vol 3, No 2 (2023)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v3i2.9637

Abstract

The Computer Science Study Program at Pat Petulai University is currently still adopting a conventional or manual attendance system, both in implementing and managing attendance data, so there is a need for a website that can manage attendance data and processes online. Based on these problems, this research aims to build a website-based online attendance system that can manage attendance data and processes online without having to do it manually or conventionally. By using qualitative descriptive research methods in this research, it is hoped that it can explain the results of the research that has been carried out. The use of information technology in this attendance was made with PHP, MySQL as a database and Laravel framework. System design using Unifed Modeling Language (UML) and waterfall tools as software development methods. The results of the software were tested in terms of functionality using black box testing. With the website that has been built, it is hoped that it can support the progress of the Pat Petulai University Computer Science Study Program in terms of managing student attendance data.
Penerapan Data Mining Untuk Memprediksi Ketersediaan Stok Produk HNI HPAI Menggunakan Algoritma C4.5 Murlena, Murlena; Apriana, Diwi
Arcitech: Journal of Computer Science and Artificial Intelligence Vol 2, No 1 (2022)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.098 KB) | DOI: 10.29240/arcitech.v2i1.5271

Abstract

In a company, the availability of this stock must be considered to avoid product losses caused by expiration and also to avoid order cancellations. The data contained in the HPAI company application, called the HSIS application, can be utilized and applied for data mining in determining which products are in demand in everyday life. This HSIS application can be used by the Business Center (BC) and all Stock Agents in the HPAI HNI business. To maintain the availability of product stock, the purpose of this study is to test the Stock Agent using the C4.5 Algorithm to predict that the availability of products that must be maintained is in accordance with customer needs. The use of the C4.5 algorithm on stock agents can overcome stockpiling and finance or stock agents capital can be used to buy stock that must be available. The results of the analysis using the C4.5 algorithm stated that although the price of the product was expensive, it was still selling well as herbal products. So of the three types of HPAI HNI products (Herbs product, Health food & beverage and Cosmetic & home care), the stock that must be increased or available is the Herbs Product.
Co-Authors Andayani, Nurfitri Apriana, Diwi edy susanto Gea, Yufen Yuliandri Indrayanto, Indrayanto Karlina K, Yuni Kaseri, Kaseri Nurfitri Handayani, Nurfitri Parwito Parwito, Parwito Rini Widyastuti Riska Amelia Sinta, Dwi Ulhaqiyah, Asyifa Wandi Syahindra Wijaya, Nopa