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Muharman Lubis

Researcher at Telkom University

Publications -  167
Citations -  928

Muharman Lubis is an academic researcher from Telkom University. The author has contributed to research in topics: Computer science & Service (business). The author has an hindex of 14, co-authored 122 publications receiving 559 citations. Previous affiliations of Muharman Lubis include International Islamic University Malaysia & Universiti Tun Hussein Onn Malaysia.

Papers
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Journal ArticleDOI

Information Security Awareness at the Knowledge-Based Institution: Its Antecedents and Measures

TL;DR: Higher education can focus the policy for encouraging them to have proper response from student and staff in avoiding security incident and its relationship to other factor can influence peer performance but also social pressure.
Book Chapter

Enhancement of zakat distribution management system: case study in Malaysia

TL;DR: In this paper, a suitable system based on technology perspective to develop the effective and efficient zakat management process at national level in the beginning and international level further with addressing Malaysia issues that focuses in distribution process.
Journal ArticleDOI

Optimization of distance formula in K-Nearest Neighbor method

TL;DR: This study will discuss the calculation of the euclidean distance formula in KNN compared with the normalized euclidesan distance, manhattan and normalized manhattan to achieve optimization results or optimal value in finding the distance of the nearest neighbor.
Book ChapterDOI

Towards Achieving the Efficiency in Zakat Management System: Interaction Design for Optimization in Indonesia

TL;DR: Several related factors must be considered such as human, environment, culture, language, literacy and regulation to improve the effectiveness of interaction and communication among stakeholders in the Zakat Management System.
Proceedings ArticleDOI

Big Data Forecasting Applied Nearest Neighbor Method

TL;DR: This study had been experimented by using 2,500 cases with 1 minute and 52 seconds, 18,000 of which required longer time i.e. 16 minutes and 30 seconds to find how much time to produce in forecasting based on old cases.