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Coreid Journal
Published by Generasi Intelektual Digital
ISSN : -     EISSN : 29876990     DOI : https://doi.org/10.60005/coreid.v1i2.14
Core Subject : Science,
Computer Science & IT
CoreID is a scientific journal that contains scientific papers from Academics, Researchers, and Practitioners about research on informatics and Computer. CoreID is published 3 times a year in March, July, and November. The paper is an original script and has a research base on Informatics. The scope of the paper includes several studies but is not limited to the following study. 1. Computer Sciences 2. Software Engineering 3. Information Technology 4. Digital Innovation
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 35 Documents
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Implementation of Finite State Automata on e-Knows Telegram Chatbot Alam, Cecep Nurul; Firdaus, Imam
CoreID Journal Vol. 1 No. 1 (2023): March 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i1.3

Abstract

The State Islamic University of Sunan Gunung Djati Bandung has a bold learning system called e-Knows. So far, if the user has a school, he must contact the admin manually. The problems are diverse, and several issues can bring personal impact. Automata language theory is the basic logic for mapping the telegram e-Knows chatbot system. The mapping is done by dividing each system using finite state automata to facilitate the completion of the system.
Sentiment Analysis and Twitter Social Media Visualization Regarding the Omnibus Law Draft Zamani, Fadli Emsa
CoreID Journal Vol. 1 No. 1 (2023): March 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i1.4

Abstract

This study will classify Twitter users' positive and negative opinions about the omnibus method using a frequency-inverse document frequency algorithm and a multi-layer perceptron method. The sentiment analysis process involves several stages, including B. Collecting and preprocessing data, calculating term weights using inverse term frequencies and document frequencies, and classifying data using multi-layer perceptrons. Additionally, the study visually represents Twitter's sentiment analysis results on the omnibus method. These visualizations include word cloud, top accounts, tweet frequency, hashtags, and sentiment. Three scenarios were considered to perform the classification experiments. Scenario 1 used 700 training data, scenario 2 used 800, and Scenario 3 used 900 training data. The findings show that the Term Frequency Inverse Document Frequency algorithm and the multi-layer perceptron method are adequate for sentiment analysis, with Scenario 3 yielding the highest accuracy rate of 88%.
Virtual Tour Design and Implementation Kiara Artha Park Bandung Tourism Location Kurniawan, Rudi; Ramadhan, Teddy Muhammad
CoreID Journal Vol. 1 No. 1 (2023): March 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i1.5

Abstract

Based on the observations made of Kiara Artha Park Bandung, it is known that no interactive media can introduce the description of the situation and environment in Kiara Artha Park to outsiders. When there are restrictions on visit policies due to lockdown, tourists or the public cannot directly visit the location. One of the alternative solutions above is to build a Virtual Tour model that can provide an overview of Kiara Artha Park if tourists need help to come directly to the location. The research method used is the MDLC (Multimedia Development Life Cycle) method, suitable for designing and developing a multimedia-based application that combines elements such as images, sound, video, animation, and others. Tools used for image media are GoPro Max 360 cameras, and the application used is Quik with photo processing using 3Sixty. The result of the construction of this Virtual Tour is to map and describe the overall condition of Kiara Artha Park with 360-degree image media. The development of the structure of this Virtual Tour is to map and describe the general requirement of Kiara Artha Park with 360-degree image media.
Designing Website-Based Administration Management Information System Khoirunnisa, Nurfitria; Haryati, Haryati; Jubaedah, Eulis; Rostiawati, Tia
CoreID Journal Vol. 1 No. 1 (2023): March 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i1.6

Abstract

Administration is one of the essential things for the running of an organization. If in an organization the administrative management is good, the organization will also be able to run well. The current administration can be used for decision-making, evaluating the activities carried out, and even knowing whether or not the organization is being run. The same happened at the Informatics Management Student Association (HIMMI) at the Subang State Polytechnic campus. Administrative management that is carried out is still conventional by storing documents in several storage folders so that there is a buildup of documents. Even documents will be scattered everywhere. Making letters is still done by checking the last number on the general ledger, so it has difficulty to make letter numbers. The submission of letters is hampered because it takes a long time because goes through a fairly long flow. Therefore, a solution was found, namely the Design of a Website-Based Administration Management Information System using the Waterfall method to assist secretaries in managing secretarial administration at the Informatics Management Student Association. The result obtained is an administrative management information system that can facilitate the storage of documents that have been integrated with the database. In addition, the system can simplify the process of issuing outgoing letters, overcome the problem of double mail numbering, streamline the attendance process, provide a timeline of work programs, and can provide information related to the reports needed. The test results conducted using the black-box testing method on 102 test items were declared 100% valid. It showed no errors or failures in the system at the time of running.
Implementing ISO 9126 in Quality Testing for Information Systems for Menu Ordering Using QR Codes in Panongkrongan Shop Triyanto, Alvin; Prisilia, Gia; Saputra, Yogi
CoreID Journal Vol. 1 No. 1 (2023): March 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i1.7

Abstract

Panongkrongan Shop is a business that emphasizes the quality of its service. The limited number of employees serving customers has an impact on services that are not optimal, such as ordering errors, delays in ordering menus, price discrepancies because prices are not updated on the menu, transaction errors, and are also prone to loss of order data because the recording is still done manually. A menu ordering system can be built to reduce this problem. However, in its use, the system must be of good quality to support the store's operational activities. The poor quality of the system can cause errors so that those who use it can experience financial losses. For this reason, it is necessary to develop a quality measurement system to run correctly and meet ISO 9126 quality standards. Based on the test results, the system meets ISO 9126 standards with a total score of 91.9% with a functionality aspect of 95.3%, reliability of 83.7%, usability of 93.5%, efficiency of 89.0%, and portability of 98%. Improvements are needed in the reliability aspect, namely in maturity and fault tolerance, so that the system can be even better in terms of quality for error handling and maturity.
Classification of Health and Nutritional Status of Toddlers Using the Naïve Bayes Classification Saputra, Yogi; Khoirunisa, Nurfitria; Arinal Haqq, Syauqi
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.8

Abstract

Life is characterized by the presence of symptoms of growth and development. The growth and development of the degree of health of each individual are different. In this case, one of the efforts to improve health status is to improve nutritional status. Nutritional status is the state of the body related to food consumption patterns and the use of nutrients that are tailored to the body's needs. Improving nutritional status is useful for increasing body resistance and promoting normal growth. In the daily actualization of the nutritional status of toddlers at the posyandu, it is usually obtained through anthropometric measurements, namely by using the weight/age index or weight-for-age to determine nutritional status. However, in measuring with anthropometry, there was confusion in determining nutritional quality, so to get accurate results, a data mining method is needed, namely the Naive Bayes Classification (NBC) Algorithm, which will be implemented in research. With this research, it is hoped that it can help posyandu cadres in the Baros sub-district, Cimahi sub-district, and Cimahi city determine the level of health and nutritional status of toddlers better and more accurately.
Attendance System Implementation Existing Android Platform Using React Native Framework Bakti Nugraha, Arif; Rizcky Hikmawan, Muhammad
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.9

Abstract

In a school that has hundreds of students, the attendance system or attendance recording is a problem in terms of practicality and data capture. Especially during a pandemic like this, learning is carried out online or in a network, commonly called distance learning (PJJ). Currently, various applications of technological advances have been created and begun to replace conventional systems. One of them is an Android-based attendance application system. The purpose of this study is to analyze and design an application that can help manage attendance data more easily and accurately. System modeling uses Unified Modelling Language (UML) to describe visually, then implemented with PHP and JavaScript programming languages, React Native Framework, and MySQL database as a database. With the mobile-based attendance system, it can make it easier for teachers to conduct attendance effectively and efficiently.
Classification of Non-Civil Servant Performance Appraisal Using Naïve Bayes Classifier Algorithm Dewi, Sofia
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.10

Abstract

Employee performance assessment is a way to measure the level of employee productivity. In the process of assessing the performance of Non-Civil Servants (non-PNS) employees at the Regional Technical Implementation Unit of Education and Training of Cooperatives and Entrepreneurs (UPTD P3W) at this time, it is required to classify data based on several factors to find out whether the employee fits into the eligible category or not as the best employee to become a civil servant (PNS) candidate. The purpose of this research is to make it easier to determine the classification of the performance assessment of non-PNS employees at UPTD P3W using the Naïve Bayes Classifier Algorithm and to determine the level of accuracy in the classification of the performance assessment. In this study, the authors used 498 data as training data and 105 data as testing data for manual testing in Excel and for testing using RapidMiner tools. Based on the analysis in the study, the result of the predictions determines the best employees to become candidates for civil servants quickly and accurately, while from the tests performed by comparing training data and with data testing using RapidMiner tools, the accuracy rate is 84.76%.
Optimizing Bank Marketing Strategies Through Analysis Using Lightgbm Diaz Aditya, Erindra Reynaldi; Yudha Satria, Dhian Kartika
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.11

Abstract

Marketing campaigns in a bank are one of the ways for the bank to achieve its organizational goals. Optimal marketing is a crucial factor for a bank's success in attracting and retaining customers. Therefore, if a bank's marketing campaigns are carried out suboptimally, it will be challenging to achieve the goals of those campaigns. In this case study, it can be observed that the number of customers who subscribe to fixed-term deposits is lower, with a proportion of 5289 customers making deposits and 5873 customers not making deposits. This research aims to optimize bank marketing strategies by applying analysis using the LightGBM algorithm, which is a highly effective and efficient Gradient Boosting Decision Tree algorithm. This approach facilitates the design of more optimal marketing strategies. The accuracy score of the predictive model generated is 0.8584, with an F1 score of 0.8564, including 974 true negatives and 943 true positives.
Sentiment Analysis on Twitter Social Media Regarding Depression Disorder Using the Naive Bayes Method Lavenia, Nur Lickha; Permatasari, Reisa
CoreID Journal Vol. 1 No. 2 (2023): July 2023
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v1i2.14

Abstract

Depression disorder is a serious issue in mental health that affects many individuals worldwide. This research analyzes the sentiments related to depression disorder on Twitter using the Naïve Bayes method. Depression-related tweet data was collected through snscrape and processed to eliminate irrelevant information. Three Naïve Bayes methods, namely Multinomial, Gaussian, and Bernoulli, were compared to classify positive, negative, or neutral sentiments in each tweet. The results of the study indicate that Multinomial Naïve Bayes exhibited the best performance with an accuracy rate of 90.13%, followed by Gaussian Naïve Bayes (88.38%), and Bernoulli Naïve Bayes (85.37%).

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