Satya Arisena Hendrawan, Satya Arisena
Program Studi Sistem Komputer, Universitas Diponegoro

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Clustering Fuzzy C-Means Pola Dispersi Asap Kebakaran Lahan Gambut di Kabupaten Bengkalis Hendrawan, Satya Arisena; Satria, Deki
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 1 (2019): Periode Juli
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

The case of peat fires has became a serious problem in Indonesia. It?s impact of peatland fires was felt to the public. One technique to prevent the impact of these problems is try to analyze the pattern of the movement direction so that the smoke peatland can be a form of early prevention solutions. HYSPLIT model is one of technique to analyze the pattern of trajectories based on the meteorological conditions in the region. Fuzzy C-Means clustering is used for providing better result than the cluster of other techniques such as k-means. Based on cluster processing using fuzzy c-means formed fom the value of partition entropy of 0.4554 and partition coefficient of 0.7057, from these factors produce 2 clusters. The results that produce 2 clusters which in the first cluster, smoke peatland fires is at an altitude of 15.89 m AGL and second cluster that the smoke from peatland fires is at an altitude of 135.81 m AGL. Than, the smoke haze has moved to Malaysia, of course the smoke haze is dangerous for societies
Knowledge Sharing Driver in Virtual Community : A Systematic Review Satria, Deki; Hendrawan, Satya Arisena
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 1 (2019): Periode Juli
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

Virtual community is one of the most used platforms to share knowledge. Virtualcommunity usually composed by people who shared vision or specialty in certain aspect. This paper is systematic literature review using PRISMA. The goals of this papers is to find what is the driving factor of the people to share their knowledge in this kind of community. The end result of this papers is driving factors which can be used to create knowledge sharing model in virtual community.