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Media of Computer Science
Published by CV. Digital Innovation
ISSN : 30634822     EISSN : 30634997     DOI : https://doi.org/10.69616/mcs
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science
Media of Computer Science (MCS), a two times annually provides a forum for the full range of scholarly study . MCS focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and eveolutionary computation, so that more intelligent system can be built to industrial applications. The topics include but not limited to : fuzzy logic, neural network, genetic algorithm and evolutionary computation, hybrid systems, adaptation and learning systems, distributed intelligence systems, network systems, human interface, biologically inspired evolutionary system, artificial life and industrial applications. The paper published in this journal implies that the work described has not been, and will not be published elsewhere, except in abstract, as part of a lecture, review or academic thesis.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 1 No. 2 (2024): December 2024" : 6 Documents clear
A Dempster-Shafer Approach for Uncertainty Management in Diagnosing Eye Diseases Aji, Luthfi Priyanto; Suprapto
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.200

Abstract

Expert system can be used as a consultant that could give an advice to users as well as an assistant to experts. One way to help diagnose eye disease is to create an expert system as a media consultation therefore the eye disease could be identified based on the symptoms. Expert system in this research is built using using forward chaining search method and dempster shafer method to handle the uncertainty. The dempster shafer method is a non monotonic method that is used to look for inconsistencies due to the addition or subtraction of the new facts that will change the existing rules. This research aims to handle the uncertainty of the diagnose eye disease with increase the accuracy of the system in determine the level of confidence of a disease that has been generated by the expert system. The expected results of this research is to provide a media consultation that is able to diagnose eye diseases and increasing the level of system confidence to diagnose an eye disease. This expert system is tested by comparing diagnose results from an expert and the comparasion results show accuracy rate is 96%.
Design and Implementation of Update Script in the IoT-Based Smart Indoor Farming System Module at PT Inastek Using Over-the-Air Programming Aditya, Tomi; Dhewa, Oktaf Agni
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.201

Abstract

Extreme climate change significantly impacts Indonesia’s agricultural sector, a country with a large agrarian economy. Reduced crop productivity and in- creased risk of pest infestations threaten national food security. This study aims to develop a smart indoor farming system based on the Internet of Things (IoT) to enhance agricultural resilience and competitiveness through efficient technology. The method involves designing a system that integrates hardware and software, applying Over-The-Air (OTA) technology to update firmware on the ESP32 microcontroller. The system includes sensors, actuators, and a Human Machine Interface (HMI) that allows real-time monitoring and con- trol of plant growth conditions. Testing and validation were carried out to ensure the system’s reliability and stability. The results show that the in- tegration of OTA technology into the smart indoor farming system enables efficient firmware management, reducing the need for physical intervention, and improving flexibility in system maintenance. This system enhances the efficiency of managing plant growth in indoor environments and supports con- tinuous operational adjustments to dynamic conditions.
Evaluation Of Fuzzy C-Means Method For District Clustering Nasrullah, Asmaul Husnah; Fajar, Andi Muhammad; Taufiq, Muhammad Aqsha; Rahmat, Nuzulul; Adiba, Fhatiah
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.203

Abstract

This study analyses the use of Fuzzy C-Means algorithm to cluster districts in South Sulawesi based on the education level of the population. Two distinct groups were found with several districts falling into each group after 17 iterations to reach the optimal solution. The clustering results were visualised with a point spread graph. The Fuzzy C-Means algorithm was executed using Python with certain parameters. The research aims to improve the quality of education with proper resource allocation and identification of districts based on the highest education. The data used includes education indicators and district minimum wage. The results are expected to provide input for a more targeted education policy in South Sulawesi. Fuzzy C-Means algorithm is effective for analysing and clustering education data in education policy decision making.
The Determination of Electronic Goods Inventory at Rahmah Store Using the Fuzzy Tsukamoto Method Jannah, Ghina Raodatul; Bittara, Andi Ghizzania Sirih; Udin, Alvin Mas; Nasrullah, Asmaul Husna; Adiba, Fhatiah
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.204

Abstract

Toko Rahmah is faced with the challenge of determining the optimal inventory of electronic goods to avoid excess or shortage of inventory. The uncertainty of demand and large sales often leads to inefficient inventory management. This study aims to apply the Tsukamoto fuzzy method in determining the optimal inventory of electronic goods at Toko Rahmah. Using this method will increase the accuracy of managing inventory and reduce the risk of excess or shortage of inventory. Therefore, in this study, the Tsukamoto fuzzy method is used to model and overcome the uncertainty of electronic goods inventory. Sales and demand data serve as output to the fuzzy system. The steps taken include forming a fuzzy set, applying fuzzy rules, and performing defuzzification to get an output value that is used as an inventory quantity recommendation. The results of this study were tested using 2 ways, namely using the Netbeans application system and using excel. These two ways are done to see how accurate or suitable the results obtained are. The accuracy results show that the average accuracy is 0.41 from 22 existing data, which is where the system is able to provide fairly accurate recommendations in determining the inventory of goods at Toko Rahmah. This method reduces the risk of excess or shortage of inventory and increases efficiency in managing inventory.
Augmented Reality Integration for Smart Campus Experience at USN Kolaka Muarif, Amar; Sari, Jayanti Yusmah; Bantun, Suharsono
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.205

Abstract

In an effort to enhance promotion at the Universitas Sembilanbelas November (USN) Kolaka, an Augmented Reality (AR) application has been developed incorporating the smart campus concept. This application is designed to provide interactive 3D visualizations of campus facilities, allowing prospective students and visitors to explore the infrastructure virtually. It has undergone extensive black box testing across various devices, demonstrating high technical reliability with key functionalities operating stably. Media expert evaluations gave an average score of 4.9, reflecting a very high level of satisfaction with its design and functionality. Moreover, a usability evaluation conducted with students noted that 80% of them rated it as excellent, describing the application as user-friendly and engaging. This success underscores the potential of AR applications in enriching campus experiences, reinforcing USN Kolaka's image as a modern and technologically adaptive educational institution, and opening opportunities for its use in broader campus promotion and marketing efforts.
Design Of A Geographic Information System For Mapping Crime-Prone Areas In The City Of Pinang Web-Based Kurniawan, Ardi Ari; Aji, Agung Prasetyo; Firmanto, Tudi; Fadhil, Ahmad
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.206

Abstract

One of the information systems that can help map an area is a Geographic Information System (GIS). GIS helps researchers, managers, and decision makers in solving problems, one of which can be implemented in mapping crime-prone areas. Crimes that often occur in the jurisdiction of the Kota Pinang Police Station are persecution and beatings, bullying, theft, fraud and so on. Because there is no GIS that can map existing crime-prone locations, so that people are still looking for criminal location information through the nearest police station and the police are still recording criminal cases manually. So a geographic information system was built that can map crime-prone locations in the Kota Pinang Police Station using the Rapid Application Development (RAD) method. The main feature of this geographic information system is to display the number of crime points based on the year and the location of crime-prone areas. The test results obtained, recorded 58 types of crime at 12 crime-prone points in the Kota Pinang area in 2024. With this web-based Geographic Information System, the police can easily record crime-prone areas, as well as the general public who want to know the crime-prone areas by simply looking at the data contained in this system.

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