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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,104 Documents
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Implementasi Metode Fuzzy Logic Untuk Aplikasi Diagnosa Penyakit Pencernaan Manusia Kurniawan, Harry; Gustientiedina; Desnelita, Yenny; Gusrianty
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3035

Abstract

The digestive system in humans is one of the vital organs of the body so that the health of the digestive system is very important to maintain. As a result, disseminating information regarding the diagnosis of human digestive disorders is critical in order to determine the sorts of diseases encountered by patients early on. The goal of this study is to design an application that uses an expert system and fuzzy logic to diagnose human digestive illnesses. This expert system can assist in the diagnosis of human digestive disorders and assist doctors in the diagnosis of human digestive diseases in patients. This expert system application uses the System Development Life Cycle (SDLC) for system development and uses the fuzzy logic approach to determine the severity of human digestive illnesses. Whereas, the Forward Chaining method is used for the tracing process that starts from the symptoms of the disease to produce answers to the types of human digestive diseases in the expert system. This research produces an expert system for diagnosing human digestive diseases based on the symptoms found using the fuzzy logic method.
Penentuan Pencemaran Air Menggunakan Metode Self Organizing Maps (SOM) Deni; Midyanti, Dwi Marisa; Hidayati, Rahmi
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3036

Abstract

Water pollution is the entry of a component or substance into water, which causes water quality to decrease. The decrease in water quality causes the water to be unfit and affects the community's health. Therefore, an application for determining the water quality level building using the SOM algorithm with several data input parameters: Fluoride, Hardness, and Nitrite. These parameters use for data clustering in determining clean and polluted water. The SOM algorithm arranges SOM neurons based on the data input values ​​in a SOM cluster. For testing the SOM method on 114 data, the Silhouette Coefficient value was used to find the best number of clusters. Silhouette Coefficient will evaluate clustering the proximity of the distance between data. The test was carried out 27 times with variations of the experiment with the learning rate starting from 0.1 to 0.9 and the number of clusters from 2 to 4 to get the best Silhouette Coefficient value. The result of clustering the best silhouette coefficient value obtained is 0.7276473444141 with 3 clusters and the learning rate of 0.2.
Analisis Penerapan Augmented Reality Sebagai Strategi Pemasaran: Uji Black Box dan Korelasi Kody, Jeffry; Jollyta, Deny; Hajjah, Alyauma; Pratama, Teddy
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3037

Abstract

Traditional marketing no longer ensures greater revenue. Businesses in the advertising industry are also feeling the effects of this circumstance. People with a lot of mobility have less time to go shopping and visit stores. The demand for seeing product designs continues to rise, yet many people are unable to attend in person, resulting in greater time spent at work. Entrepreneurs must alter their marketing strategy to address these issues utilizing technology that is simple to use and available at all times. The goal of this research is to design an Augmented Reality (AR) application that can be used on a smartphone and can process sales via the internet. Black Box, light intensity, and the proper distance are used to create and test applications for functioning so that product photos seem at their best. The existence of the app also generates a strong correlation between customer interest of product and desire to purchase it. This is demonstrated by a correlation test with a value of 0.673191. It is envisaged that the designed application can aid advertising enterprises in enhancing marketing and sales.
ESRGAN untuk Memperbesar Resolusi pada Citra Bangunan Sulaeman, Agus; Rauda Ramdania, Diena; Adzkia, Muhammad Fasya
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3038

Abstract

In the current era of technology, photos are an important existence for modern society where with photos we can get a lot of information. Quality photos must have a good resolution and level of sharpness, but sometimes the photos obtained are sometimes not satisfied, especially in the resolution section where there are some photos with low resolution. With the use of ESRGAN photos that have low resolutions can be increased so that the resolution without reducing the quality of the photo significantly.
Analisis Data PMB di STITEK Bontang dengan FP Growth dan Apriori Untuk Mendukung Strategi Promosi di Masa Pandemi Wibowo, Arief; Megawati, Rina; Henry
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3041

Abstract

Data on new student admissions is always available and owned by all universities, both private and public. One of the private universities that has this data is STITEK Bontang (Bontang College of Technology). This data can be used as a reference or database owned by STITEK Bontang to be used optimally. This utilization is used as strategic information for new student admissions during the pandemic. This study aims to group new student data using data mining techniques. The data mining technique used is the FP Growth algorithm and the Apriori Algorithm. For the research steps using the CRISP-DM methodThis research is used to determine the right Promotion Strategy. Determining the right promotional strategy will be able to reduce promotional costs and achieve the right promotion goals. 1) Fp-Growth and Apriori methods in building a knowledge base from a collection of student databases accepted at STITEK Bontang by showing the relationship between student identity and the study program that the student chooses. 2) Obtained the most entrances with a lift ratio of 2.
Implementasi Algoritma Apriori Pada Sistem Prediksi Pemesanan Spanduk Di Percetakan Cipta Aksara 3 Pagaralam Arif, Alfis
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3042

Abstract

The purpose of this study was to implement a Banner Ordering Prediction System Using the Apriori Algorithm at Pagar Alam 3 Pagar Alam Cipta Aksara Printing. At Pagar Alam 3 Pagar Alam Cipta Aksara Printing, a problem was found, namely the difficulty in controlling the available banner-making production materials. When there are banner materials that are often purchased out of stock at the printing press, the printing owner must re-stock the materials and it takes a long time to provide the materials. With the Banner Ordering Prediction System Using the Apriori Algorithm, it was found that the association rules if consumers order 340 ingredients then consumers will order 280 ingredients with a 100% confidence value, if consumers order 280 materials & x-banners then consumers will order 280 ingredients with a confidence value of 100 %, the item if the consumer orders the sticker material, the consumer will order the material 280 with a confidence value of 93.10%, the item if the consumer orders the material 400 then the consumer will order the material 280 with a confidence value of 86.67% and the item if the consumer orders the material 280 then the consumer will order sticker material with a confidence value of 51.92%. With this system, it is hoped that it will simplify the process of providing material for making banners in the future. The system testing method uses Black Box Testing by testing input, output, update, delete, and button functions, with valid (appropriate) results.
Analisa Penjualan Menggunakan Algoritma K-Means Hadi, Febri; Diana, Yusvi; Meta, Monanda Rio
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3043

Abstract

Garbage is leftover material that is no longer used from daily human activities. The Garbage Bank system is currently still manual in nature such as buying and selling waste from the Bengkalis community, waste price lists, types of waste and grouping waste categories. As a solution to these problems, the author builds a Software Design to digitize the previous system which was done manually. In this study the research methodology used is the Kanban method. In making this application the programming language used is PHP Framework Codeigniter, and MYSQL as a data storage area. With this application, it can help the Waste Bank to buy waste easily, safely and more efficiently.
Rancang dan Bangun Aplikasi Chatbot Menggunakan Pendekatan Natural Language Processing (NLP) Pada Pusat Pelatihan Inatechno Saputra, Rahmad; Febriani
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v10i2.3044

Abstract

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Validitas Sistem Informasi Geografis Pemetaan Penduduk Pada Disdukcapil Kota Solok Dengan Metode Computer System Usability Questionnaire Muchlis, Lita Sari; Jamil, Muhammad Jamal
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v10i2.3045

Abstract

.Solok City Population Administration Information System (SIAK) is an information system used by Disdukcapil officers as there is no validity and social control so it is prone to data misuse. In the midst of a lot of research on GIS the focus is showing a map of the real location of the highlights on the boundaries of the area will be able to monitor the number of population spread per selected region. In the development of the Population Ministry GIS Application, the Rapid Application Development (RAD) model is used. The results achieved make the application of this Web-Based Geographical Population Mapping Information System is that the population address data becomes more valid because the map of the real location of the resident's home address and social control can also be applied because with monitoring of the real location of the resident's home address and the results of the test data graphical form shows the assessment of the system with the percentage of satisfaction of this application using the Computer System Usability Questionnaire (CSUQ) obtained an average value of 89.88% which is included in the very feasible category.
Prediksi Penjualan Online bagi Pelaku Industri Rumahan selama Pandemi Covid-19 Menggunakan Jaringan Syaraf Tiruan Susanti, Evi Yulia
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v10i2.3046

Abstract

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