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Muhammad Wali
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International Journal Software Engineering and Computer Science (IJSECS)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27764869     EISSN : 27763242     DOI : https://doi.org/10.35870/ijsecs
Core Subject : Science,
Computer Science & IT
IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer science. IJSECS is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information technology and computer science applications..
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 284 Documents
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Implementation of Android-Based Salon Booking Application for Customer Service Optimization Samudra, Tegar Bayu; Anggara, Afwan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3279

Abstract

Most beauty salons are still using manual system to manage booking and customer, which made queue long, record incorrect and customer frustrated. Purpose of this research is to create an Android based Salon booking application for IKA Salon (which fulfill operational needs) and thus increase service quality and enhance the customer satisfaction. This study is done by use of Research and Development (R&D) model which consists needs analysis followed by design development system testing. We built it using Flutter (the framework) and Firebase for real-time storage and management of data. It offers user registration, login, service scheduling(booking), customer data management etc Key findings show that application can resolve some manual problems like also queuing, scheduling improvement and recording errorless operation. Additionally, the app brings major improvements in operations and client happiness. Serving mobile service booking and management of schedule, customer data in real-time makes the application play an optimising role for a salon and help its growth of business
The Implementation of Gamification Methods in the Edusting Application as an Educational Medium to Enhance Mothers Knowledge of Stunting Deta, Bernadete; Wato, Robertus Resi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3302

Abstract

Interventions for stunting are an urgent public health priority. Because mothers' limited knowledge about stunting has a direct impact on stunting prevention and management. One of the extraordinary outreach programs is the stunting socialization program for mothers of toddlers carried out at the integrated health post. However, the socialization action is considered too limited. Gamification is one potential approach to increase the effectiveness of these efforts by introducing game design and game elements into educational content in three areas: childcare practices, nutritional intake, and stunting prevention. This is expected to explore mothers' involvement and motivation to prevent stunting. Mothers certainly prefer a more attractive interactive interface and gamification applications will stimulate cognitive and emotional involvement so that mothers feel more comfortable in the learning process about stunting management. In this study, we present the design of an education that aims to help mothers understand and overcome stunting. This application is expected to make mothers better understand parenting patterns, nutrition, and stunting management so that it can help mothers' learning to increase the speed of mothers' understanding of stunting prevention.
The Application of Artificial Intelligence for Anomaly Detection in Big Data Systems for Decision-Making Octiva, Cut Susan; Suryadi, Dikky; Judijanto, Loso; Laia, Mitranikasih; Irwan, Dedy
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3358

Abstract

The development of big data technology has generated huge volumes of diverse data, creating challenges in detecting anomalies that could potentially affect decision-making. This research aims to examine the application of artificial intelligence (AI) in detecting anomalies in big data systems to support faster, more accurate and effective decision-making. The approach used includes the integration of machine learning algorithms, such as classification-based detection, clustering, and deep learning, in identifying abnormal patterns in large datasets. The research method involves real-time dataset-based simulations by measuring the performance of AI models using accuracy, precision, recall, and F1-score metrics. The results show that the application of AI can significantly improve the anomaly detection capability compared to conventional methods, with an average accuracy of 92%.
Health Information Media for Outpatient Services at Puskesmas OPI Palembang Based on a Website Salsabilah, Engga; Megawaty; Fatoni; Amalia, Rahayu
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3132

Abstract

The advancement of information technology has significantly influenced various aspects of life, especially in the delivery of healthcare services. Websites now play a pivotal role in providing healthcare services and information to patients, acting as a vital medium of communication. Puskesmas OPI Palembang is a healthcare institution serving the community, consisting of several departments (polyclinics), including the Maternal and Child Health Room, the Elderly Room, Special Room 1 for Respiratory Diseases, Special Room 2, General Examination Room, Dental and Oral Room, Laboratory Room, Pediatric Room, and Immunization Room. At Puskesmas OPI Palembang, a blog is currently the primary medium for disseminating health service information, alongside brochures, e-flyers, and promotional materials distributed to the local community through free health education initiatives. For outpatient health services, patient registration is still managed using paper-based records. To improve services, a website has been developed to serve as an effective platform for patients to access information about the health center, doctor schedules, polyclinics, and outpatient services, including patient registration. The website provides essential details such as the health center's location, contact information, and doctor schedules, including names, working hours, and practice days. Patients can register online by completing personal information, complaints, preferred polyclinic, and doctor details. The website was developed following the Planning, Design, Coding, and Testing phases of the Extreme Programming methodology.
Performance Analysis of the SiJaspro Application as a Tool for Physical Fitness Testing at Jasdam II Sriwijaya Huda, Nurul; Halim, R. M. Nasrul; Udariansyah, Devi; Dianto, Tri Agung
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3145

Abstract

Technological advances have affected many areas of daily life, including sports. Calculations are essential to achieving physical exercise goals. To meet this need, Jasdam II Sriwijaya has created an application called SiJaspro that supports training by offering important data and calculations. This application is designed to assess fitness scores, provide training materials, and provide information related to Jasdam II Sriwijaya. Although this application has just been launched, it already has bugs on some pages, has difficulty displaying user data correctly, and is only compatible with Android devices. The PIECES method—Performance, Information and Data, Economics, Control and Security, Efficiency, and Service—has been applied to assess the performance of the application in this study. This analysis aims to assess the performance of the application in Jasdam II Sriwijaya and evaluate it against the objectives that have been set. GTMetrix is used for speed and performance testing, and Google Transparency Report is used for security testing.
Development of an Educational Game for Food Capture Based on Augmented Reality Using Face Mesh Detection and Computer Vision Sadid, Muhammad Arib Umar; Mulyana, Dadang Iskandar; Gunawan, Dedi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3031

Abstract

This study aims to propose an educational game for newborns around 4 months old who do not yet know how to distinguish objects that should not be put in their mouths. This seems very normal when it occurs during this stage of life, but it should be encouraged with educational tools — because eating objects that are not food can cause choking or suffocation. AR technology provides an interactive and engaging learning environment by overlaying digital information on the physical environment. The game also uses Computer Vision technology such as Face Detection and Recognition to control user interaction based on body movements. By combining computer vision, the game provides a new and dynamic way to increase user engagement, introducing new opportunities for the development of interactive educational games for young children
Sentiment Analysis of Kredivo App Users Using the K-Nearest Neighbor Algorithm Saepudin; Sutisna
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3056

Abstract

In today's technological era, the internet has played an important role in all aspects of human life. This is also what drives various mobile applications to develop very rapidly. Kredivo is an instant credit solution that provides convenience to buy now pay later in a 1-month tenor or 3-month installment tenor with 0% interest. In addition, Kredivo is not only used for shopping purposes, but borrowers can also make withdrawals in the form of cash. However, not all users are satisfied with the service of the application. and the many comments submitted through the Kredivo application review feature on the Google Play Store. Therefore, in this study, researchers tried to conduct a sentiment analysis of Kredivo application users using the K-Nearest Neighbor algorithm. The purpose of this study was to determine the accuracy value produced by the K-Nearest Neighbor algorithm. From testing 1880 data using the cross-validation model, it was found that reviews containing positive sentiment were 62.55% and containing negative sentiment were 37.45%. Evaluation of the classification results using the Confusion Matrix test obtained an accuracy value of 79.36%, with a recall value of 83.08%, precision of 72.15%, and recall (Specificity) of 73.15%, so it can be concluded that the K-Nearest Neighbor algorithm can classify sentiments well using review data on Kredivo application users
Web-Based Employee Recruitment Application at PT Parastar Group Utilizing the Rapid Application Development (RAD) Method Wiguna, Teddy Septria; Ginting, Winton; Faizah, NM
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3069

Abstract

The research designs a web-based employee recruitment information system developed for PT. Parastar Group, by utilizing PHP and MySQL. This system offers a solution for companies to manage applicant data archiving by HRD staff more efficiently and effectively. Applicant data is stored in a MySQL database server, reducing dependence on physical filing cabinets. In addition, applicants can complete application forms and access company information and job descriptions more efficiently. This research focuses on designing an employee recruitment information system for PT. Parastar Group, using the waterfall model as a development methodology. This system is built using the PHP programming language. The result of this research is a functional web-based employee recruitment information system. This system is expected to assist the HRD division in processing data for employee archiving and orientation.
Implementation of RFM Analysis to Enhance Sales Patterns of Food and Beverages at Bonjour Café and Resto Using the Apriori Algorithm Sibarani, Julvan Marzuki Putra; Akbar, Yuma; Sutisna; Setiawan, Kiki
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3073

Abstract

The rapid growth of the culinary business has made business competition in this field increasingly tight, so a strategy is needed to increase food and beverage sales patterns. Bonjur Cafe Resto serves many food and beverage menus, but business actors need to try to produce product innovations in order to provide satisfactory service to customers. In this condition, a data processing technique is needed to determine customer segmentation and menu recommendations at Bonjur Cafe Resto. The analysis method used is RFM Analysis by analyzing customer behavior, analyzing purchase transaction data consisting of Recency Frequency Monetary (RFM) attributes and data mining techniques with the Apriori algorithm, where this algorithm is used to determine the most frequently appearing data set (frequent itemset). The results of this study are grouped into five categories of customers based on their purchasing behavior and association rules are formed with predetermined parameters, support 28% and confidence 70%. This can later be a recommendation for a menu combination from the data that has been collected and applied using the apriori algorithm so that it is expected to be used for service evaluation and be able to increase customer satisfaction so that Bonjur Cafe Resto can develop better
Website-Based Liquid Selection Recommendation System Using Content-Based Filtering Method at Morevapor Gading Store Mulyawan, Rizky Rama; Wijiyanto; Pramono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3082

Abstract

Liquid is a favorite product among various vape lovers. This product provides a variety of unique and refreshing flavors, attracting the attention of vaping lovers to always try new variants. The high cost of purchasing vape liquid makes many people prefer to buy products recommended according to their preferences, making MoreVapor Gading the main choice. This study aims to develop a recommendation system for selecting vape liquid using a content-based filtering mechanism with the TF-IDF approach. The TF-IDF approach was chosen because of its ability to provide more precise weighting to relevant but not too common words, resulting in more accurate recommendations compared to other methods. In practice, the results of this study provide significant benefits for MoreVapor Gading, namely increasing the accuracy of product recommendations that can minimize ordering errors and increase customer satisfaction and loyalty. This research method uses a waterfall model consisting of the analysis, design, implementation, and testing stages. The results of the study show that from 21 datasets, the system can provide five recommendations with the highest similarity values, namely Cair Grape 0.1445, American Winter Grape Candy Magic 0.1243, Paradewa Grape Athena 0.1151, American Winter Magic Fanta Float 0.0923, and Foom Breeze Series Guava 0.0918 based on user preferences. The recommendation system developed aims to provide accurate recommendations and in accordance with user preferences in choosing vape liquid.

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