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All Journal Ceddi Journal of Information System and Technology (JST) Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Akbar Hendra
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Computer Science & IT Decision Sciences, Operations Research & Management

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Web-Based Rapid Application Development (RAD) for Marketing of Ende Lio Traditional Bond Motif Woven Fabric Neneng Awaliah; Akbar Hendra; Amran Amiruddin; Daud, Daud; Akbar Iskandar
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 1 (2023): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i1.36

Abstract

The marketing of Ende Lio traditional bond motif ikat woven fabric predominantly relies on conventional market stalls. However, with the growing demand for diverse products derived from ikat weaving, such as garments, bags, tunics, and accessories, there is a need for a more efficient marketing strategy. This study aims to implement Rapid Application Development (RAD) and design a web-based marketing system for the Marketing of Ende Lio Traditional Bond Motif Woven Fabric to enhance accessibility and increase public awareness of the products. The objectives of this research include developing an intuitive and interactive web-based platform for marketing Ende Lio's woven ikat fabrics, improving the efficiency of the marketing process, ensuring a seamless user experience, and evaluating the system's impact on sales and customer satisfaction. The RAD methodology, renowned for its incremental and time-constrained software development approach, was employed. The design process involved the use of Use Case Diagrams, and unit testing was conducted to validate the functionality and performance of the application.
Application of the Adaptive Boosting Method to Increase the Accuracy of Classification of Type Two Diabetes Mellitus Patients Using the Decision Tree Algorithm Hao Chieh Chiua; Robbi Rahim; Mahmud Mustapa; Kamaruddin; Akbar Hendra; Asnimar; Abigail, Omita
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 2 (2023): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i2.47

Abstract

One of the data mining processes that is often used in machine learning is the data classification process. A decision tree is a classification algorithm that has the advantage of being easy to visualize because of its simple structure. However, the decision tree algorithm is quite susceptible to incorrect classification calculations due to the presence of noise in the data or imbalance in the data, which can reduce the overall level of accuracy. Therefore, the decision tree algorithm should be combined with other methods that can increase the accuracy of classification performance. Machine Learning is used through an artificial intelligence approach to solve problems or carry out optimization. Adaptive Boosting is used to optimize classification calculations. This study aims to examine the performance of Adaptive Boosting in the process of classifying second-degree diabetes mellitus patients using the Decision Tree algorithm. Diabetes mellitus is known as a chronic condition of the human body, the cause of which is an increase in the body's blood sugar levels because the body is unable to produce insulin or is unable to utilize insulin effectively, which is usually referred to as hyperglycemia.. By using a 60:40 data split, the Decision Tree algorithm produces an accuracy value of 95.71%, while the Adaptive Boosting-based Decision Tree results reach a value of 98.99%.
Designing A Web-Based Reporting Application For Elementary School Kompleks Sambung Jawa Asnimar; Akbar Iskandar; First Wanita; Kamaruddin; Erwin Gatot Amiruddin; Akbar Hendra; Mansyur; Oluwaseun Tobechukwu
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.89

Abstract

The management of student report cards at the Sambung Jawa Complex Elementary School still uses Microsoft Excel which can cause the data processing process to be less efficient and prone to errors. The aim of this research is to build a report card application that can increase the efficiency and accuracy of processing student report card data, as well as facilitate access and management of data by teachers and administrative staff. The method used in designing this application is the FAST method (Framework for the Application of Systems Thinking), which includes the stages of requirements analysis, system design, and implementation. Meanwhile, the testing method used is the black box method, which focuses on testing the functionality of each feature in the application without looking at its internal structure. The results of this research show that the designed web-based report card application can run well and fulfill the needs of report card management at the Sambung Jawa Complex Elementary School. This application has succeeded in increasing the efficiency and accuracy of processing report card data, as well as making data access and management easier by the school.
Co-Authors Abigail, Omita Akbar Iskandar Amran Amiruddin Asnimar Daud, Daud Erwin Gatot Amiruddin First Wanita Hao Chieh Chiua Kamaruddin Mahmud Mustapa Mansyur Neneng Awaliah Oluwaseun Tobechukwu Robbi Rahim