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Scheduling Information System at SMA N 1 Madang Rasuan OKU Timur Kurniawan*, Dedy; Passarella, Rossi; Sutarno, Sutarno; Rifai, Ahmad; Isnanto, Rahmat Fadli; Ubaya, Huda; Exaudi, Kemahyanto; Sari, Purwita; Hanifah, Izzati Millah; Perdani, Tharisa Antya
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i1.18009

Abstract

The development of technology and information systems is currently so rapid, especially after the corona pandemic era, everything began to use technological assistance, not spared until the elements of the school were required to use technology as a means of learning, one of the considerations of the school in using technology including as a schedule management system. In this website-based scheduling application system for SMAN 1 Madang Suku 1, the author and co-author create a scheduler application that can easily manage schedules that already have integrated data between subjects, teachers, majors, classes at school. the purpose of making this application system is to increase efficiency in the process of scheduling classes and rooms at SMA 1 Madang Rasuan OKU Timur, and also make it easier for students to access the required schedule so that the schedule does not have to be taken at school again. The final result of this research is to produce a web-based application program that can help teachers or school admins to create and manage subject schedules with a good appearance and equipped with various features so that the subject scheduling process becomes more efficient and organized.
Optimizing K-Means Clustering Parameters for Mapping Smart Contract Transaction Characteristics: A Comparative Analysis of Evaluation Metrics in the IOTA Ecosystem Ubaya, Huda; Stiawan, Deris; Suprapto, Bhakti Yudho; Ekaputra, Rivaldi Febrian; Afifah, Nurul; Ningrum, Septiani Kusuma
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 14, No 1: March 2026
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v14i1.7741

Abstract

Smart contracts are already a major development in digital transaction automation thanks to blockchain technology, but their operational efficiency is still greatly impacted by resource consumption, transaction success rates, and gas cost dynamics. This study aims to optimize the K-Means Clustering algorithm's parameters in order to map the characteristics of smart contract transactions in the IOTA ecosystem and provide thorough insights into the efficiency of gas allocation. Using a massive dataset of 566,303 empirical transactions from the IOTA Tangle, three key metrics the Silhouette Coefficient, Davies-Bouldin Index, and Calinski-Harabasz Index were compared to verify the quality of the clustering. With a Silhouette Coefficient value of 0.9851, Davies-Bouldin Index of 0.4622, and Calinski-Harabasz Index of 741,423.92, quantitative evaluation results demonstrate that the 3- cluster structure performs better than two clusters. These results validate the 3-cluster model's ability to more accurately divide transactions into categories that are efficient, complex, and gas-inefficient. The results of this mapping can serve as the foundation for creating an automated recommendation system for optimizing transaction costs in decentralized networks. This study shows that the Gas Limit and Gas Consumed indicators are crucial predictors of transaction efficiency.