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CSRID
Published by Universitas Potensi Utama
ISSN : 20851367     EISSN : 2460870X     DOI : https://doi.org/10.22303/csrid
Core Subject : Science,
Computer Science & IT
CSRID (Computer Science Research and Its Development Journal) is a scientific journal published by LPPM Universitas Potensi Utama in collaboration with professional computer science associations, Indonesian Computer Electronics and Instrumentation Support Society (IndoCEISS) and CORIS (Cooperation Research Inter University).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol. 15 No. 3 (2023): October 2023" : 7 Documents clear
Eksperimen Perbandingan Evolutionary Programming dan Evolutionary Strategies dalam Permasalahan Maximization Fungsi Polinomial Ahmad Nugroho; Maria Siregar
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Evolutionary Programming and Evolutionary Strategies are two techniques in Evolutionary Computation. Both are relatively similar but in Evolutionary Strategies, crossover is not used and only mutation is performed using normally distributed noise. To determine which is better in solving the problem of maximizing a polynomial function, this study aims to compare both. Implementation will be made using the Python programming language with the DEAP (Distributed Evolutionary Algorithms in Python) library. Then both are run 100 times to find the average number of generations needed to achieve an accuracy of at least 1e-5. Based on the research, it was found that Evolutionary Strategies provides more efficient performance by 4%.
Analisis Sentimen Terhadap Film Sri Asih Dengan CNN, KNN, dan Logistic Regression Ester Caroline Dwi Wijaya Wijaya; Hendry
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Technological developments have had a significant impact on various sectors, which is in the film industry, of course this is become a challenge for film producers to make works that suit people's tastes. The recent film that has become the public's attention is the Sri Asih film, due to its fresh genre and story, this film got a lot of opinions from the public. With the social media Twitter, people can express their opinions, comments, and criticisms online. Therefore, Twitter can be used to observe positive and negative responses to analyze public opinion about the film Sri Asih. The analysis is sentiment analysis, which is a process to analyze whether public opinion is negative, neutral, or positive. The goal of this study is to determine the public's response to the Sri Asih film which can be used as an evaluation for film producers. This research was conducted using three methods: Convolutional Neural Network (CNN) with 78% accuracy, K-Nearest Neighbor (KNN) with 61% accuracy, and Logistic Regression with 81% accuracy.
Klasifikasi Penyakit Tanaman Bawang Merah Menggunakan Convolutional Neural Network dan K-Nearest Neighbor Fifi Febrianti Usman; Purnawansyah; Herdianti Darwis; Erick Irawadi Alwi
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

The potential for yield loss due to shallot plant disease is the main trigger that can reduce agricultural productivity. Pest and disease attacks can be minimized and overcome quickly if farmers are able to classify the types of diseases that attack plants based on the characteristics and symptoms that appear. This study aims to classify shallot plant diseases, namely purple spotting and moles with a total of 320 datasets using Hue Saturation Value color feature extraction using the K-Nearest Neighbor (Euclidean Distance) and Convolutional Neural Network methods. Based on the results of the study, the accuracy, f1-score was 94% and precision, recal was 97%, 91% in purple spot disease while in moler disease it was 94% in accuracy, precision, recall, and f1-score in HSV and KNN classifications. Classification using HSV and CNN yielded high scores in accuracy, precision, recall, and f1-score with a value of 100% in both purple spot and moler shallot leaf diseases. Classification using deep learning CNN obtains very good accuracy, precision, recall and f1-score, namely 100%. With this description, the classification of shallot plant diseases using HSV and CNN, and CNN deep learning are stated to be able to classify shallot plant diseases, namely purple spotting and moles effectively and accurately.
Pengiriman Data Realtime PLC ke ERP Odoo dengan Dilengkapi Analisa OEE Fiqrotin Nur Asita; Muhammad Khoirul Hasin; Zindhu Maulana Ahmad Putra; Ryan Yudha Adhitya; Imam Sutrisno
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

With the integration of IT (Information Technology) and OT (Operational Technology), the data generated by the OT system can be easily processed and analyzed using the IT system, thereby synergistically increasing the efficiency and productivity of the company. In addition, to maximize machine performance, the Overall Equipment Effectiveness (OEE) method can be applied to monitor production results. Therefore, the authors designed an integration system based on a software connector to connect the Programmable Logic Controller (PLC) with Enterprise Resources Planning (ERP) Odoo. This system facilitates three communication protocols, namely Modbus TCP/IP, Ethernet/IP, and Profinet. As proof of the success of the connector software, a bottle-sorting plant controlled by PLC was made. The data from the plant is acquired by the connector software and sent in real-time to ERP Odoo. In ERP Odoo, an analysis is carried out through manufacturing modules that are custom-made by applying the OEE method as a step in monitoring the production process. Through research conducted, this integration system has been successfully designed and implemented in a bottle-sorting plant. The results of a comparison between manual OEE calculations and OEE calculations in ERP Odoo found an error of 0.161%. Thus, the IT and OT integration system created has been successful and has made the production process more efficient and has provided significant benefits to the company
Identifikasi Wanda Janaka berbasis Deep Learning dengan Metode Convolutional Neural Network Benedictus Herry Suharto; Mawar Hardiyanti
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

UNESCO named Wayang Kulit a "Masterpiece of Oral Intangible Heritage of Humanity" for Indonesian traditional arts. Wayang Kulit's characters show a symbol of personality, identity, image, appearance, and quality of the characters. In certain situations in the Wayang Kulit performance scene, this character has a different appearance image called Wanda. Wanda Wayang Kulit is less well-known among the younger generation. Therefore, technological creativity is needed so the younger generation can distinguish Wanda Wayang Kulit as part of the Indonesian nation's artistic and cultural literacy. One of the potential technologies that can be used is a smartphone application based on Deep Learning CNN to detect and recognize Wanda Wayang Kulit. In contrast to previous studies that have successfully used Deep Learning CNN to recognize Wayang Kulit characters, this research aims to create a CNN Deep Learning model to classify Wanda Wayang Kulit Janaka. The model uses five Wanda Wayang Kulit Janaka images from an Android smartphone camera. The results achieved from this study are the CNN deep learning model, which can classify the image of Wanda Wayang Kulit Janaka using an Android smartphone camera with an accuracy of 84%.
Rancangan Sistem Dalam Pengelolaan Data Penduduk Pada Kantor Desa Boloak Menggunakan Algoritma Sequential Searching Shofia Qitala; Saruni Dwiasnati
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Fast and accurate information will support the smooth operation or management of the village government, in managing community data and information. Currently, various administrations and data management at the Boloak village office are still being carried out manually, and have not been computerized so that the performance in managing population data is still not optimal. For this reason, in utilizing information technology for managing population data and assistance data, an information system design is needed for the scope of the alternating village office, so that it can support smooth operations and improve performance for village government employees. With the aim of this research being to design a population data management system and assistance data by implementing a web-based Sequential Searching Algorithm using php and using the MySql database, this research will be designed using the waterfall method, making it easier for employees to search population data, identify population data as well as in managing social assistance data more efficiently and improving the performance of village officials in managing data.
Rancang Bangun Sistem Informasi Pemasaran Barang Antik Berbasis Mobile Web Rofiqoh Dewi; Abdul Muis
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

In this era of digitalization, the use of technology in developing a product is very commonly used to introduce products, sell products and other things related to recognizing product needs such as product information, product functionality, price, or uniqueness that a product has but is not found in other products. like antiques. Currently, it is very rare to find the marketing of antiques in modern and traditional markets. The need to buy antiques is also very rare, but that doesn't mean it has disappeared with time because there are still some people who are interested in antiques if they appear displayed in a window at the market. Based on this, to make it easier for people to access antiques, technology is needed to be able to process data well to make it more efficient and effective. Based on this, the direction of the research carried out by the researcher aims to introduce antiques to all levels of society and build a mobile website to market these antiques so that people can get to know the types and benefits of antiques, the history of antiques and the prices of these antiques.

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