Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal IJID (International Journal on Informatics for Development) EDUMATIC: Jurnal Pendidikan Informatika JISKa (Jurnal Informatika Sunan Kalijaga)
Prasetyawan, Daru
Unknown Affiliation
Computer Science & IT Education Electrical & Electronics Engineering Library & Information Science

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Portal m-Da’wah using Wireless Application Protocol Prasetyawan, Daru; Yazid, Ahmad Subhan; Mulyanto, Agus
IJID (International Journal on Informatics for Development) Vol 2, No 1 (2013): IJID May
Publisher : Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.86 KB) | DOI: 10.14421/ijid.2013.02105

Abstract

Information and technology develop quickly, cannot be controlled. This development has an impact on almost all sectors of human life, ranging from the academic sector, government, economy, military, to the household order. Technological developments also reach human affairs in religion. In every religion, there is guidance to remind one another and invite others to the good. This is often known as da'wah. Da'wah for Muslims is one of the obligations that must be carried out. This study aims to build a mobile application as a propaganda media by implementing wireless protocols. The study method used in this study is system development, which is an experiment for the design of the m-da?wah portal that can be accessed via a cellphone or PDA. Da'wah mobile applications are built with the PHP programming language, HTML tags, and WML tags, as well as utilizing the MySQL database as a database server, and implemented through the GPRS network (General Pocket Radio System), so we need a mobile phone or PDA equipped with WAP facilities to access the application. The m-da?wah application has the ability to make it easy for users to obtain Islamic articles that can be easily understood by readers and is equipped with a zakat counter facility that can be accessed via a cellphone or PDA. The test results show that the application meets the functionality requirements and is suitable for use.
Implementasi Load Balancing dengan HAProxy di Sistem Informasi Akademik UIN Sunan Kalijaga Wirawan, Adi; Gatra, Rahmadhan; Hidayat, Hendra; Prasetyawan, Daru
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 9 No. 1 (2024): Januari 2024
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2024.9.1.39-49

Abstract

Efficiently managing academic information systems (AIS) is essential for educational institutions to provide reliable services to students and faculty. This research explores the integration of HAProxy load balancing and file synchronization techniques to optimize the performance of AIS. HAProxy is employed to distribute incoming requests across multiple backend servers, and the backend will call web service to access the data saved in the database to facilitate seamless data sharing and access. Additionally, file synchronization mechanisms are implemented to maintain consistency across scripts used in the backend system. The study conducts performance evaluations and benchmarks to assess the impact of HAProxy load balancing and file synchronization on AIS responsiveness and reliability. The results reveal significant system scalability and fault tolerance improvements, reducing downtime and enhancing user experience. This research contributes to optimizing academic information systems, enhancing their ability to handle increased loads, and ensuring the efficient delivery of educational services.
Analisis Cluster untuk Pengelompokan Kemampuan Penguasaan ICT Menggunakan K-Means dan Autoencoder Prasetyawan, Daru; Gatra, Rahmadhan
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 2 (2025): May 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.2.145-157

Abstract

Information and Communication Technology (ICT) skills are essential in today’s digital age. However, numerous new students possess varying levels of ICT proficiency and may lack the necessary skills expected by universities. ICT training is essential for enhancing students’ ICT skills. Nevertheless, delivering the same training to all students proves to be less effective. Therefore, grouping students’ ICT skills is crucial to ensure that the training provided aligns with the fundamental abilities of the students. Cluster analysis is a common method for grouping data. This study employs k-Means and an autoencoder for cluster analysis, with the autoencoder utilized to reduce data dimensions and k-Means to perform the clustering process. The Elbow method is utilized to identify the ideal number of clusters. The optimal number of clusters determined was three. Model evaluation was conducted using the Silhouette coefficient and the Davies-Bouldin Index (DBI). The evaluation results revealed that the combination of k-Means and autoencoder yields superior performance compared to using k-Means alone, as evidenced by a higher Silhouette value and a lower DBI value.
Pemetaan Lintasan Karir Alumni Berdasarkan Analisis Cluster: Kombinasi K-Means dan Reduksi Dimensi Autoencoder Prasetyawan, Daru; Mulyanto, Agus; Gatra, Rahmadhan
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29713

Abstract

Alumni career mapping is a crucial aspect of evaluating and developing higher education programs. Cluster analysis, particularly the integration of k-means and autoencoder methods, has emerged as an effective solution for grouping complex and multi-dimensional alumni career data. This study aims to implement and assess the combination of k-means and autoencoder algorithms in alumni career mapping based on GPA, study duration, waiting time, job type, salary, job level, and field of study suitability. The autoencoder is employed to reduce dimensions, while k-means clusters alumni into groups based on the similarity of their career profiles. The data used in the cluster analysis is sourced from the tracer study. Pre-processing of the tracer study data is conducted through several stages, including cleaning, encoding, and normalization. The evaluation results indicate that the combination of k-means and autoencoder yields superior Silhouette and DBI scores. The Silhouette score with the autoencoder achieved 0.6112, while without it, the score was only 0.3956. The DBI value with the autoencoder is 0.566, whereas without it, the DBI reached 1.022. This cluster analysis effectively grouped the tracer study data into six clusters based on similarities in career profiles. The clustering results suggest that the formed clusters are more influenced by the alumni's job type and duration of study.
Co-Authors Adi Wirawan Agus Mulyanto Ahmad Subhan Yazid Gatra, Rahmadhan Hendra Hidayat Ida Ayu Putu Sri Widnyani