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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 126 Documents
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Rancang Bangun Aplikasi Monitoring Karyawan Dan Perkembangan Proyek Berbasis Android Pada PT. Arhanindo Pratama Yasminne R.A.S Vadri; Noveri Lysbetti Marpaung
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.214-227

Abstract

Employees are human resources who play an important role in determining the performance achievements of a company. Employees with good performance are employees who have several characteristics such as being disciplined, responsible, and able to work together. To find out employee performance, monitoring is necessary, such as monitoring employee attendance in the office. Unfortunately, PT. Arhanindo Pratama does not currently have a system for daily attendance, making it difficult to monitor employee attendance. This can cause employees to deliberately come in late or even not show up. Employee absences lead to a lack of collaboration and discussion, hindering project progress. Monitoring project progress is also difficult due to lack of information about the project from absent employees. Based on these problems, research was carried out by creating an Android-based employee monitoring and project development application. Employees will be able to check in and out, view history, and see a list of ongoing projects. The application will be created using the Kotlin programming language and tested in four aspects consisting of functionality, portability, compatibility and usability. The results of functionality testing are that all functionality was successfully tested with a feasibility percentage of 100%. In portability testing, the results showed that the application can run on various devices and different versions of Android. Compatibility testing shows that the application can run in split-screen mode. Then, usability testing was carried out using UEQ which showed excellent results, namely attractiveness with a value of 2.37, perspicuity with a value of 2.27, efficiency with a value of 2.20, dependability with a value of 2.15, stimulation with a value of 2.22, and novelty with a value of 2.15.
Penerapan Metode Regresi Linear Berganda Dalam Memprediksi Laju Pertumbuhan Penduduk Kota Pekanbaru Rezki Aulia; Noveri Lysbetty Marpaung
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.137-147

Abstract

Population growth is a phenomenon with significant implications for the development of a region. Action is needed to anticipate this rapid population growth, one of which is by predicting the population. This study aims to apply Multiple Linear Regression method to predict the population growth rate in Pekanbaru City. The variables of births, male population, and female population are used as predictors in the regression model. Optimization is performed using the Gradient Descent method to improve prediction accuracy. Historical data from 2003 to 2022 is used to train and test the model. The evaluation results show that the optimized multiple linear regression model is able to provide accurate predictions, with a MAPE of 1.09% and RMSE of 0.20618. Further development can be done by considering additional factors and using more advanced optimization methods to improve prediction accuracy. This research is expected to contribute to understanding the factors influencing urban population growth and provide a basis for more effective and sustainable urban development planning.
Optimizing Supplier Data Management Using Decision Trees at Bambu Makmur Jaya Store Lidia Terecia; Sandy Kosasi
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.228-246

Abstract

he challenge faced by craft stores in the era of digitization is the difficulty in choosing the right suppliers, resulting in unstable product availability and uncompetitive prices. Inefficient supplier selection can also disrupt the supply chain and overall business performance. The objective of developing a supplier data system software using Decision Trees is to enhance supplier selection optimization, ensure the best product quality, and improve decision-making quality. The solution design method used is Extreme Programming (XP), focusing on forming small teams. Testing is conducted using white-box methods that meet functional requirements for several software features. The result of this research is the development of a supplier data website software for Bambu Makmur Jaya store using the Laravel framework. It aims to assist Bambu Makmur Jaya store owners in easily viewing supplier and product recommendations, ensuring warranty deadlines are not missed through real-time notifications, and providing positive impacts in applying technology to business, as well as efficiency in supplier data processing and inventory management.
Peringatan Dini Bencana Banjir Berbasis Iot Menggunakan Pendekatan Metode Prediktif Rahmad Aditya; Samsir Samsir; Wahyu Azhar; Iwan Fitrianto Rahmad
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.161-173

Abstract

Floods are among the natural disasters that can cause substantial damage, particularly in tourist locations with high visitor traffic. This paper proposes the implementation of an IoT-based predictive method for early flood disaster warnings in tourist areas. The proposed system utilizes IoT sensors to monitor environmental conditions in real-time and employs machine learning-based predictive models to forecast the likelihood of flooding. By continuously collecting and analyzing data such as rainfall, river water levels, and soil moisture, the system can predict potential flood events with a relatively high degree of accuracy. The research involved developing and testing the system in a controlled environment to evaluate its performance. The results demonstrated that the system could provide timely early warnings, allowing tourist site managers to take necessary preventive measures to protect visitors and infrastructure. The implementation of such a system can significantly reduce the impact of floods by providing actionable information well in advance of potential disasters. This early warning capability is crucial in tourist areas where rapid response is necessary to ensure the safety and well-being of visitors. Overall, the study highlights the effectiveness of combining IoT technology with predictive analytics in disaster management and risk mitigation
Analisis Perbandingan Algoritma Klasifikasi Terhadap Data Problem Mesin ATM Dengan Rapidminer Dahriani Hakim Tanjung; Rofiqoh Dewi; Fujiati Fujiati; Rinrin Meilani Salim
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.188-200

Abstract

The aim of the proposed research is to compare and test the accuracy of data mining classification algorithms. Comparing algorithms that depend on different parameters of a given data set. There are learning and classification algorithms that are used to analyze, study and classify the available data. However, the problem is finding the best algorithm and the desired results with the highest level of accuracy in predicting future values ​​or events from a data set. Where the classification models used are the C4.5 and Naïve Bayes algorithms. Testing and validation using k-fold Cross Validation as well as evaluating the performance of the prediction model using the ROC-AUC graph with graphic visualization. The data used as samples were taken from ATM machine problem data with a total of approximately 250 samples. Testing was carried out with the help of the Rapidminer tool with operators and parameters used in creating models of the algorithms being compared. The tests that have been carried out prove that the C4.5 algorithm has the best performance with an average accuracy value of 96.00%, a recall value of 97.78% and a precision value of 92.14%, while the naïve Bayes algorithm produces an accuracy value of 83. 00%, the recall value is 76.40% and the precision value is 84.82%. Apart from that, evaluation and validation in this test is also seen based on the ROC curve called AUC (Area Under the ROC Curve) where for the C4.5 algorithm the value is 0.931 while naïve Bayes is 0.894 so the C4.5 algorithm is categorized as Very Good Classification because it has a value between 0.90-1.00. These results show that the C4.5 algorithm is proven to be a potentially effective and efficient classification algorithm.
Penerapan Gray Level Co-Ocurrence Matrix Dengan Metode Self Organizing Map Pada Deteksi Kematangan Buah Pinang Adil Setiawan; Soeheri Soeheri; Sumijan Sumijan
Computer Science Research and Its Development Journal Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.16.2.2024.174-187

Abstract

Areca nut can be seen through its fiber which plays an important role in improving digestion. Fiber helps facilitate bowel movements and prevent constipation, provides improvements in the digestive system and keeps teeth healthy. The results of this research obtained a classification model using the Gray Level Co-Occurrence Matrix. Many areca nut plantations still use manual methods to sort fruit, but this method is often inaccurate and varies, this is due to differences in the perceptions of each person. Histograms help you find images with similar color composition. Similarity is measured by calculating the distance between histograms. Color composition can be seen in the form of a histogram which represents the distribution of the number of intensity pixels for each color in an image. This research aims to detect the ripeness of areca nut fruit. This research uses a combination of RGB and HSV feature extraction techniques and GLCM extraction techniques. The resulting information is in the form of a percentage of similarity and classification of fruit maturity which includes Ripe (Hue=0.11893, saturation= 0.75727, value= 0.81813), half ripe (Hue= 0.17933, Saturation=0.20123, value= 0.44968) Unripe (Hue=0.21514, Saturation= 0.47934, Value= 0.36719) with an accuracy level of 100%, from images that have been processed.
Evaluasi Usability Aplikasi Tiket.com Menggunakan Metode System Usability Scale (SUS) Via Alfilaeni; Krisbiantoro, Dwi; Setyaningsih, Gustin
Computer Science Research and Its Development Journal Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study focuses on evaluating the usability of the online ticket booking platform, Tiket.com, which despite its popularity, has received numerous negative user reviews. The primary objective of this research was to assess the platform's usability to identify areas of improvement that could enhance user experience. Utilizing the System Usability Scale (SUS) as a quantitative method to process usability data, we conducted an extensive analysis of the platform's interface and interaction features. The SUS provided a framework for assessing user satisfaction and usability efficiency. The results of this study revealed a SUS score of 55.55, which categorizes the usability level of Tiket.com as "OK" according to the Adjective Ranking scale. It falls into the "Acceptable" range, marginally at a Grade D level. These findings suggest that while the platform's usability is generally adequate, there is significant room for improvement. Further analysis indicated that specific enhancements in feature functionality and responsiveness to user feedback are crucial. Enhancing these aspects could substantially improve the overall user experience, ensuring greater user retention and satisfaction. The implications of these findings are significant for future research and practical applications. They suggest that continuous usability evaluations could be instrumental in maintaining and enhancing the effectiveness of online platforms like Tiket.com. This study contributes to the existing literature by providing a detailed usability evaluation of a major online service platform, using a recognized and replicable methodological approach.
User Satisfaction Analysis Of Tourist Ticket Applications Using The Heuristic Evaluation Evaluation Method (Case Study: Pagubugan Melung Tour Manager) Evania Adna; Tahyudin, Imam
Computer Science Research and Its Development Journal Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of digital technology has changed the way information is interacted with and managed, including in the tourism sector. Nature tourism, as an important part of Indonesia's tourism industry, has also undergone a significant transformation in terms of technology use. This research investigates the application of information technology through websites in improving the accessibility, efficiency, management, and promotion of Pagubugan Melung Tourism in Banyumas. By adopting a website-based ticketing application, Wisata Pagubugan Melung is able to provide more complete and interactive information for visitors and simplify the process of ticket sales and visitor management. Evaluation of user acceptance of the ticketing application was conducted using the Heuristic Evaluation method and Partial Least Square Equation Model (PLS-SEM) statistical analysis. The variables that become indicators in evaluating user acceptance of ticketing applications using PLS-SEM statistical analysis are Visibility of System Status, Match Between System and the Real World, User Control and Freedom, Consistency and Standards, Error Prevention, Recognition Rather Than Recall, Flexibility and Efficient of Use, Aesthetic and Minimalist Design, Help Users Recognize, Diagnose, and Recover from Errors, Help and Documentation and Usability. The results showed that most features were well received by users. Overall, the Wisata Pagubugan Melung ticketing app is popular, showcasing the blend of technology and tourism. This research provides a better understanding of user acceptance of technological innovations in the context of tourism and provides guidance for further development in improving technology-based tourism services.
Penerapan Next.js dan GraphQL dalam Pengembangan Mobile Web Sistem Informasi Manajemen Puskesmas Dwi Aulia Anugerah; Kosasi, Sandy
Computer Science Research and Its Development Journal Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research focuses on the development of a Mobile Web-based Puskesmas Management Information System (SIMPUS) motivated by the need for the Puskesmas Rawat Inap Jungkat to improve information services and data management. The problem being faced by the Puskesmas Rawat Inap Jungkat is that the management of patient data visiting the health center is still manual and is done repeatedly, which results in the efficiency and effectiveness of services being hampered and data redundancy. SIMPUS mobile web development applies Next.js for the front-end and Laravel for the back-end, with GraphQL as the data retrieval protocol. This system is designed to simplify the patient registration process, polyclinic data management from registered patients, and efficient service management. This research uses the Design Science Research (DSR) method with data collection techniques in the form of observations, interviews, and documentation studies to develop a mobile web information system and puskesmas management that focuses on patient registration until the patient's data that registers directly enters the intended polyclinic. The System Modeling with Unified Modeling Language (UML) with White-Box testing to ensure system functionality. The results of the study are expected to make a positive contribution in improving the quality of health services at the Puskesmas Rawat Inap Jungkat, increasing operational efficiency and effectiveness, and facilitating access to information for patients and health center staff.
Rancang Bangun Sistem Keamanan Pintu Rumah Menggunakan Arduino Berbasis Android Aji, Eko Setyo Budi Putra; Rosnelly, Rika
CSRID (Computer Science Research and Its Development Journal) Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.15.1.2023.37-46

Abstract

Many people still find it difficult to secure their doors with the current technological orientation. Many people look for safety devices for their doors on various websites, but they are still constrained by the price and how to install the equipment purchased on their door. The existence of tools and applications for designing a home door security system is made with the aim of helping people to secure their door in an easier and more efficient way. The design of the home door security system with the available Android-based Arduino makes it easier for people to secure their home doors, of course, with guides and understanding of the tools described by the author. Tools made using Arduino and applications are made using the Java programming language. The system development, method for making this application uses the MIT App Inventor.

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