cover
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
ISSN : 29623669     EISSN : 29622360     DOI : http://dx.doi.org/10.29240/arcitech
Core Subject : Science,
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.
Articles 5 Documents
Search results for , issue "Vol. 2 No. 1 (2022): June 2022" : 5 Documents clear
Analisa dan Perancangan Machine Learning Untuk Mendeteksi Kegagalan Job di Apache Spark Dariato, Eri
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 2 No. 1 (2022): June 2022
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (672.045 KB) | DOI: 10.29240/arcitech.v2i1.4124

Abstract

A collection of data stored in a database, so the longer the data, the bigger the data, because the data processed is very large, processing time in Apache Spark can take up to a dozen or tens of hours. Sometimes, the Apache Spark application even fails. Therefore, to minimize the waiting time that could have been avoided or reduced, artificial intelligence through Machine Learning will be used to detect whether an Apache Spark application will fail or run smoothly. Factors to determine this failure are called features and are generated through the feature engineering process. The purpose of this research is to design Machine Learning so that it is able to find out what features will determine the success or failure of the Apache Spark application. The research method used is the Prototyping process model.
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): June 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.
Sistem Informasi Keputusan Menentukan Menu Makanan Bagi Penderita Diabetes Menggunakan Metode Fuzzy Analytic Hierarchy Process helmina, helmina; Akbar, Zulfikri; Dani, Rian
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 2 No. 1 (2022): June 2022
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v2i1.5355

Abstract

A fresh meal menu for diabetes patients is something significant to help them control their blood sugar levels. Diabetes is one of the diseases that cannot be cured quickly according to several studies. One of the methods to treat diabetes is by controlling the food consumed by patients. With good eating habits, the progress of diabetes can be slowed down. The food consumed by diabetes patients must be adjusted according to the number of calories, meal schedules, and the type of food based on the patient's condition. The input of the developed application consists of guidelines, sub-criteria, and replacement information, while the output is in the form of suggested information from the obtained decision. The system is developed using Borland Delphi 7 programming language and Microsoft Access 2007 database. The system provides suggestions in the form of information resulting from the calculation using the Fuzzy Analytic Hierarchy Process method. The decision support system ensures that the meal menu for diabetes patients is prioritized to provide fresh meal options for them.
Perancangan dan Implementasi Router Mikrotik Pada Infrastruktur Jaringan Komputer Internet dengan Media Transmisi Wired dan Nirkabel (Studi Kasus : IAIN Curup) Syahindra, Wandi
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 2 No. 1 (2022): June 2022
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v2i1.7974

Abstract

This study aims to design, configure a proxy routerboard on internet computer network infrastructure with wired and wireless transmission media to overcome the uneven distribution of bandwidth to all internet users, inaccurate IP address addressing for each point of the building and wifi hotspot points, frequent network crashes, frequent slow internet access and many internet users install the netcut program with the aim of controlling network bandwidth, so that all bandwidth is fully absorbed so that other networks cannot receive bandwidth because the net cut program has taken over all bandwidth so internet access on other computers becomes very slow even disconnected. The method used is the method of analysis including surveys, interviews, identification of information needs. The design method includes making network topologies and determining resources. The analysis method is used to analyze the running system and the design method is used to create a network topology based on a proxy router. The result achieved is the design of an internet computer network infrastructure with wired and wireless media that has good management, bandwidth management and a good IP address address.
Rancang Bangun Computer Network e-dictionary Application Berbasis Android Rizki, Yovan; Widyastuti, Rini; Amelia, Rizka
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 2 No. 1 (2022): June 2022
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v2i1.7901

Abstract

This study aims to produce an Android-based computer network E-Dictionary application. This e-dictionary application is to assist users in searching for terms in computer networks. The method used in this study is the waterfall method, while in programming and user interface design using the Sketchware application tool. In designing this dictionary application system, using UML (Unified Modeling Language) as a system visualization into the software. The results of this study are computer network e-dictionary applications that can be used on Android-based smartphones if connected to the internet. This e-dictionary can run on an Android-based smartphone with version 5.0 and above and can also be run on a personal computer (PC) using an emulator.

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