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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences EduBase: Journal of Basic Education
Tutut Herawan
University of Malaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education

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A Soft Set-based Co-occurrence for Clustering Web User Transactions Edi Sutoyo; Iwan Tri Riyadi Yanto; Rd Rohmat Saedudin; Tutut Herawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.6382

Abstract

Grouping web transactions into some clusters are essential to gain a better understanding the behavior of the users, which e-commerce companies widely use this grouping process. Therefore, clustering web transaction is important even though it is challenging data mining issue. The problems arise because there is uncertainty when forming clusters. Clustering web user transaction has used the rough set theory for managing uncertainty in the clustering process. However, it suffers from high computational complexity and low cluster purity. In this study, we propose a soft set-based co-occurrence for clustering web user transactions. Unlike rough set approach that uses similarity approach, the novelty of this approach uses a co-occurrence approach of soft set theory. We compare the proposed approach and rough set approaches regarding computational complexity and cluster purity. The result demonstrates better performance and is more effective so that lower computational complexity is achieved with the improvement more than 100% and cluster purity is higher as compared to two previous rough set-based approaches.
Enterprise Architecture Characteristics in Context Enterprise Governance Base On COBIT 5 Framework Heru Nugroho; Tutut Herawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp240-248

Abstract

The existence of the enterprise architecture is an attempt of managing and planning over the evolution of information systems in the sphere of an enterprise with model-based. In developing the enterprise architecture, there are several tools definition of components in the system. This tool is known as enterprises architecture (EA) framework. In this paper, we present a method to build a model of enterprise architecture in accordance with the needs of the Organization by Understanding the characteristics of the EA framework such as Zachman, TOGAF, and FEAF. They are selected as the EA framework will be used to determine the characteristics of an EA because the framework is most widely used in corporate or Government. In COBIT 5 framework, there is a process associated with enterprise architecture it is APO03 Manage Enterprise Architecture. At this stage of the research, we describe the link between the characteristics of the EA with one process in COBIT 5 framework. The results contribute to give a recommendation how to design EA for organization based on the characteristic of EA in Context Enterprise Governance using COBIT 5 Framework.
Expert System of Quail Disease Diagnosis using Forward Chaining Method B. Herawan Hayadi; Kasman Rukun; Rizky Ema Wulansari; Tutut Herawan; Dahliyusmanto Dahliyusmanto; David Setaiwan; Safril Safril
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i1.pp206-213

Abstract

Expert system applications were in great demand in various circles since 1950, with a coverage area that was large. Expert System on the organization was aimed at adding value, increasing productivity as well as the area of managerial can make decisions quickly and accurately. Neither with organizations that did business quail, which was very promising, but needed to be alert for the presence of disease in quail healthy, as in the case in birds quail were highly vulnerable to various kinds of diseases caused by viruses or bacteria. the benefits of the expert system that was able to diagnose quickly and accurately to the symptoms of the disease caused was expected to helped the farmers in of anticipation the many losses caused by disease. Required accuracy and the accuracy of the counting in diagnosing the symptoms of the disease in order to summarized the results by using forward chaining method.
Mining Association Rules: A Case Study on Benchmark Dense Data Mustafa Bin Man; Wan Aezwani Wan Abu Bakar; Zailani Abdullah; Masita@Masila Abd Jalil; Tutut Herawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i3.pp546-553

Abstract

Data mining is the process of discovering knowledge and previously unknown pattern from large amount of data. The association rule mining (ARM) has been in trend where a new pattern analysis can be discovered to project for an important prediction about any issues. Since the first introduction of frequent itemset mining, it has received a major attention among researchers and various efficient and sophisticated algorithms have been proposed to do frequent itemset mining. Among the best-known algorithms are Apriori and FP-Growth. In this paper, we explore these algorithms and comparing their results in generating association rules based on benchmark dense datasets. The datasets are taken from frequent itemset mining data repository. The two algorithms are implemented in Rapid Miner 5.3.007 and the performance results are shown as comparison. FP-Growth is found to be better algorithm when encountering the support-confidence framework.
Implementation of Enhanced Axis Aligned Bounding Box for Object Collision Detection in Distributed Virtual Environment Elfizar Elfizar; Tutut Herawan; Sukamto Sukamto
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.226

Abstract

Axis Aligned Bounding Box (AABB) is a popular method for object collision detection in distributed virtual environment (DVE). Actually, besides AABB several researchers have found better methods but those methods are not used in DVE. The simplicity of AABB is one of reasons. Another side, researchers have found several methods to make a scalable DVE to accommodate huge users. Object-based simulators architecture is one of them. It uses a simulator for an object in DVE. This paper aims to determine the comprehensive effects of implementing AABB in DVE and to enhance AABB implementation in DVE using object-based simulators architecture in order to be able to use other object collision detection methods in DVE. This research had four stages. First stage, we developed DVE application. The second stage was running AABB in DVE. In this stage, we also determined characteristics of AABB implemented in DVE. Third, we implemented AABB in object-based simulators architecture. This architecture used more simulators to manage objects. Finally, we analyzed and compared the results to the common existing DVE. There were three parameters measured in this research: runtime, frame rate and CPU usage of simulation application. The experiment results showed that computation complexity was the most important thing to be considered in DVE because DVE always updates its environment. Adding a few workloads into AABB degraded strictly performance of DVE. The results also showed that the enhanced AABB implementation in DVE using the object-based simulators architecture could rich the user experiences. The average runtime, frame rates and CPU usages using this architecture are 0.001 second, 239 fps and 20.94%, respectively. These achievements are better than common DVE. This novel approach could be used to implement other better collision detection algorithms in DVE such as oriented bounding box (OBB).
Bridging the Gap: Analyzing Mathematical Learning Achievement of Slow Learners in Indonesian Elementary Schools Dyah Anungrat Herzamzam; Chrisnaji Banindra Yudha; Tutut Herawan
EduBase : Journal of Basic Education Vol. 7 No. 2 (2026): EduBase : Journal of Basic Education
Publisher : LJPI UI Bunga Bangsa Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47453/edubase.v7i2.3783

Abstract

Objective: This study aims to identify the specific mathematical learning barriers experienced by slow learners and to analyze their achievement of mathematical learning outcomes in Phase C at SDN Pisangan Timur 05. Novelty: This study explores the relationship between mathematical learning barriers and learning outcomes among slow learners in Indonesia’s Kurikulum Merdeka by examining the influence of cognitive and learning characteristics on phase-based mathematical competencies. Methods: This qualitative case study involved four Phase C slow learners and their teachers, with data collected through observation, interviews, and documentation, and analyzed using reduction, display, and verification supported by triangulation. Results: The findings reveal that all four slow learners experience significant barriers in mathematical learning, including limited cognitive capacity, weak memory retention, difficulties in maintaining concentration, and challenges in expressing mathematical concepts. These barriers, combined with variations in individual learning abilities, hinder the students from fully achieving the expected mathematical learning outcomes prescribed for their respective academic phase. Conclusion: The study concludes that adaptive and individualized learning strategies are essential to support slow learners in achieving meaningful mathematical outcomes within the Kurikulum Merdeka framework.
Co-Authors B. Herawan Hayadi Chrisnaji Banindra Yudha Dahliyusmanto, Dahliyusmanto David Setaiwan Dyah Anungrat Herzamzam Elfizar Elfizar Heru Nugroho Iwan Tri Riyadi Yanto Kasman Rukun Masita@Masila Abd Jalil Mustafa Bin Man Rd. Rohmat Saedudin Rizky Ema Wulansari Safril Safril Sukamto Sukamto Sutoyo, Edi Wan Aezwani Wan Abu Bakar Zailani Abdullah