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All Journal Science Technology and Management Journal (STMJ) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Gracia Stefani Suharyadi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering

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Rancang Bangun Aplikasi Marketplace Edukasi “Pasar Ilmu” Oei Joviano Matthew Wijaya; Vic Jeremy Prajogo; Gafgarion Sudrajat Budi Darminto; Gracia Stefani Suharyadi; Siska Narulita; Sekarlangit Sekarlangit
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 1 (2025): Februari: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i1.422

Abstract

The welfare of teachers in Indonesia, especially honorary teachers, is still very poor when compared to other ASEAN countries. There is a gap between the salaries of teachers in Indonesia and the salaries of teachers in several ASEAN countries. There have been several demonstrations carried out by teachers, especially honorary teachers, because the salary received is not in accordance with the performance that has been carried out. On the other hand, there is a problem of high unemployment in Indonesia. The factors causing the high unemployment rate in Indonesia are the mismatch of qualifications and the low quality of education in Indonesia, as well as limited job vacancies and the high need for employment. To overcome these problems, a new innovation is needed that can help the community in creating jobs and improving the quality of education in Indonesia. The Pasar Ilmu educational marketplace application was developed to overcome these problems. The development of this Pasar Ilmu application uses the prototype system development method. This research aims to create a system or application of the Pasar Ilmu educational marketplace that can help improve the quality of education in Indonesia as an application that can help honorary teachers to get additional income, help reduce unemployment in Indonesia, and provide flexible courses or lessons for students.
ANALISIS FORECASTING EKSPOR BATIK INDONESIA DENGAN ALGORITMA X-MEANS Gracia Stefani Suharyadi; Siska Narulita
Science Technology and Management Journal Vol. 6 No. 1 (2026): Januari 2026
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v6i1.490

Abstract

Batik is one of Indonesia's cultural heritages that has high economic value because it is a leading export product. In recent years, the value of batik exports has varied considerably each year. This study was conducted to analyze Indonesian batik export data using the X-Means algorithm as a development of previous studies that used forecasting methods. The difference in this study lies in the approach used. While forecasting emphasizes future predictions, the X-Means algorithm is used to see the clustering patterns of existing data. The data used comes from the 2010-2021 batik export dataset obtained from Kaggle and the Indonesian Batik and Handicraft Center. Data processing was carried out using the RapidMiner application with several cluster tests to determine the best results. The results showed that the test with 3 clusters produced a Davies Bouldin Index (DBI) value of 0.029. A low DBI value indicates that the clustering results are very good and there is a clear distance between clusters. From these results, the countries with the highest batik export values were the United States, Germany, and Japan, while the countries with the lowest exports included Slovenia and Portugal. These results prove that the X-Means algorithm can be used to analyze Indonesian batik export patterns effectively.
Co-Authors Gafgarion Sudrajat Budi Darminto Oei Joviano Matthew Wijaya Sekarlangit Sekarlangit Siska Narulita Vic Jeremy Prajogo