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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 10 Documents
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Search results for , issue "Vol. 16 No. 2 (2024): June 2024" : 10 Documents clear
Perancangan Sistem Informasi Deteksi dan Pemantauan Stunting Balita di Desa Melalui SIHARAPAN Alal Lestari; Ridha Rahma Tina; Ferdiyansyah Achmad; Fathurrahmani; Agustian Noor
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.16.2.2024.91-106

Abstract

The nutritional health of children is a crucial matter to consider, given its significant impact on physical and cognitive development. Therefore, early nutritional detection in infants and toddlers is highly necessary to identify whether the obtained nutrition is sufficient. This is done to prevent children from experiencing stunting conditions, which can affect educational quality, morbidity, and productivity in adulthood. In addressing these issues and challenges related to limited health resources and manual data recording systems, the development of the SIHARAPAN application (Information System to Prevent Low Intake of Food and Nutrition in Children) becomes a highly important solution. This application aims to facilitate the management of infant and toddler nutritional health data in integrated health posts (posyandu), as well as a tool to identify symptoms of stunting in children. The application is designed to streamline administration and management of nutritional status data in children through a technological approach. This research applies a waterfall approach in development, starting from system requirements analysis, system design, coding using the CodeIgniter 4 framework based on the PHP programming language, and implementing z-score formulas to determine nutritional status in children, as well as testing using black box testing. The test results indicate that the SIHARAPAN application runs 100% successfully according to its functions, improving information accessibility for posyandu cadres and related parties to prevent stunting and facilitate coordination in child health care.
Diagnosa Stunting Pada Balita Menggunakan Metode Naive Bayes Untuk Sistem Pakar Hygiana Prima Desty; 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.16.2.2024.107-123

Abstract

Stunting is a chronic nutritional problem that impacts intelligence, productivity, and susceptibility to diseases in toddlers. According to the 2022 Indonesia Nutritional Status Survey (SSGI), the prevalence of stunting in Indonesia reached 21.6%. In line with the Indonesian government's efforts to reduce the prevalence of stunting to 14% by 2024, as per Presidential Regulation No. 72 of 2021, early detection and proper treatment of stunted children are essential. This study implements the Naïve Bayes method to predict the nutritional status of toddlers using parameters such as age, weight, height, head circumference, and upper arm circumference. The expert system is designed to integrate expert knowledge into a computer, assisting healthcare professionals in quickly and accurately diagnosing stunting and enhancing parental education on stunting, particularly at the study site in Puskesmas Pembantu Alam Raya, Pekanbaru City. Data collected directly from the study site comprised 340 records, with 238 training data and 102 testing data. The test results using a confusion matrix table showed a precision value of 50%, recall 50%, error rate 3.9%, and accuracy of 97.05%. The system is built using PHP, the CodeIgniter framework, and MySQL as the database. The implementation of the expert system using the Naïve Bayes method in this study is expected to aid in making accurate policies for the prevention and management of stunting in toddlers.
Analisis Sentimen Model Distilbert Multilingual Cased Dalam Mengklasifikasikan Ulasan Game Genshin Impact Abdullah Sajad; Nurmalitasari Nurmalitasari; Eko Purwanto
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.16.2.2024.124-136

Abstract

The evolution of information technology has revolutionized how humans engage with the world, particularly within the gaming sector. This paper explores the utilization of the DistilBERT Multilingual Cased model for analyzing sentiments expressed in Genshin Impact game reviews. The research methodology encompasses gathering data from Google PlayStore and Apple AppStore, manually labeling data, preprocessing it, and employing the DistilBERT Multilingual Cased model for analysis. The model's performance is assessed using metrics such as accuracy, precision, recall, and f1-score. Findings reveal that the model effectively categorizes sentiment in reviews, achieving an overall accuracy of 82%. Precision, recall, and f1-score metrics consistently surpass 0.77 across all sentiment categories. This study concludes that the DistilBERT Multilingual Cased model shows promise as a valuable tool for multilingual sentiment analysis within the realm of game reviews.
Pengembangan E-Service Jasa Pernikahan Pada Marni Wedding Organizer Dengan Metode RAD Muhammad Alwan Nurdin; Vihi Atina; Faulinda Ely Nastiti
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.16.2.2024.201-213

Abstract

In the digital era, Wedding Organizer (WO) services have become increasingly vital in facilitating wedding planning and execution. However, many WOs, including Marni Wedding Organizer, still grapple with inefficiencies stemming from manual operational systems. This research endeavors to address this issue by developing a web-based e-service system for Marni Wedding Organizer using the Rapid Application Development (RAD) method. RAD was chosen for its iterative approach and adaptability to evolving requirements. The system, developed using PHP, JavaScript, MySQL, and the Midtrans API, progresses through phases of requirements analysis, system design, coding, and testing. The study identifies operational inefficiencies as the primary problem, prompting the need for technological intervention. Through thorough testing, the system achieves a 100% testing level across all modules, ensuring robust functionality. However, limitations exist in the system's scope, focusing solely on booking and payment processes. Future research could explore expanding system features for enhanced service personalization. Ultimately, the developed e-service system enhances operational efficiency, customer satisfaction, and resource management for Marni Wedding Organizer.
Sistem Informasi Monitoring Peserta Magang Berbasis Web Pada Perusahaan XYZ Stevania Setiawan; Hanifah Permatasari; Ridwan Dwi Irawan
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.16.2.2024.148-160

Abstract

This research aims to address the issue of manually monitoring the attendance of interns at XYZ Company by developing a Web-Based Attendance Monitoring Information System. The system development method uses the Software Development Life Cycle (SDLC) approach. This system utilizes QR Code technology to facilitate the attendance process of interns, ensure data authenticity, and provide real-time monitoring. The research results show that this system can improve the accuracy of attendance data, reduce the potential for fraud, and simplify the management of interns for the company. The system also offers features for interns to view their attendance history, fill in logbooks, and request leave. Administrators can monitor intern attendance, view attendance reports, and manage intern data. The system is implemented using PHP Native and MySQL as the database. With this system, it is expected to increase efficiency and integrity in monitoring interns at XYZ Company.
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.
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.

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