BibTex Citation Data :
@article{JSINBIS13, author = {Slamet Handoko Handoko and Eko Sediono and Suhartono Suhartono}, title = {Sistem Informasi Geografis Berbasis Web untuk Pemetaan Sebaran Alumni Menggunakan Metode K-Means}, journal = {Jurnal Sistem Informasi Bisnis}, volume = {1}, number = {2}, year = {2014}, keywords = {}, abstract = { The graduates of State Polytechnic of Semarang are not only the member of social community but also part of State Polytechnic of Semarang community who have academic knowledge and special skills. Based on the researcher observation the graduates of State Polytechnic of Semarang are not recorded, the management of State Polytechnic of Semarang has not provided a system that can facilitate the interaction between State Polytechnic of Semarang and graduates. In this thesis, the system for mapping the graduates distribution is aimed to measure the level of the graduates compliance skill with the competence area of their job. The method of KMeans Clustering is used for grouping the distribution of State Polytechnic of Semarang graduates. Grouping or clustering mechanism in this system is based on four variables. They are type of company, job classification, working area, and competency of study program. While the geographical position of graduates is used to filter the data when the users are searching the graduates location in a ce rtain province. In this research the cluster is divided into three, they are, cluster one: graduates have matching competence, cluster two: graduates have matching enough competence, and cluster three: graduates have no matching competence. Keywords: Clustering; GIS ; K-Means }, issn = {2502-2377}, pages = {80--85} doi = {10.21456/vol1iss2pp80-85}, url = {https://ejournal.undip.ac.id/index.php/jsinbis/article/view/13} }
Refworks Citation Data :
The graduates of State Polytechnic of Semarang are not only the member of social community but also part of State Polytechnic of Semarang community who have academic knowledge and special skills. Based on the researcher observation the graduates of State Polytechnic of Semarang are not recorded, the management of State Polytechnic of Semarang has not provided a system that can facilitate the interaction between State Polytechnic of Semarang and graduates. In this thesis, the system for mapping the graduates distribution is aimed to measure the level of the graduates compliance skill with the competence area of their job. The method of KMeans Clustering is used for grouping the distribution of State Polytechnic of Semarang graduates. Grouping or clustering mechanism in this system is based on four variables. They are type of company, job classification, working area, and competency of study program. While the geographical position of graduates is used to filter the data when the users are searching the graduates location in a ce rtain province. In this research the cluster is divided into three, they are, cluster one: graduates have matching competence, cluster two: graduates have matching enough competence, and cluster three: graduates have no matching competence.
Keywords: Clustering; GIS ; K-Means
Article Metrics:
Last update:
Authors who submit the manuscripts to Journal JSINBIS must understand and agree that if the manuscript is accepted for publication, the copyright of the article belongs to JSINBIS and Diponegoro University as the journal publisher.
Copyright includes the exclusive right to reproduce and provide articles in all forms and media, including reprints, photographs, microfilm and any other similar reproductions, as well as translations. The author reserves the rights to the following:
JSINBIS and Diponegoro University and the Editors make every effort to ensure that no false or misleading data, opinions or statements are published in this journal. The content of articles published in JSINBIS is the sole and exclusive responsibility of the respective authors.
Copyright transfer agreement can be found here: [Copyright transfer agreement in doc] and [Copyright transfer agreement in pdf].
JSINBIS (Jurnal Sistem Informasi Bisnis) is published by the Magister of Information Systems, Post Graduate School Diponegoro University. It has e-ISSN: 2502-2377 dan p-ISSN: 2088-3587 . This is a National Journal accredited SINTA 2 by RISTEK DIKTI No. 48a/KPT/2017.
Journal JSINBIS which can be accessed online by http://ejournal.undip.ac.id/index.php/jsinbis is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
