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Implementasi Google Drive untuk Mendukung Pelayanan Administrasi dalam Jaringan pada Program Studi Teknik Informatika Universitas Surakarta Djoko Sutanto; Lia Setiarum Adi Putranti
Jurnal Ilmu Komunikasi PROGRESSIO Vol 3, No 1 (2022): Volume 3 No.1 Maret 2022
Publisher : Jurnal Ilmu Komunikasi PROGRESSIO

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Abstract

The task of the administrative staff is to provide services to lecturers and students, but the ratio of administrative staff to lecturers and students is not ideal, and the CoViD-19 pandemic demands changes to the service system in order to keep performing well. This study examines the use of Google Drive in assisting online administrative services for lecturers and students. The type of research used is descriptive qualitative, with data collection techniques from interviews, observations and documentation. The validity of the data with triangulation techniques, and interactive models were used for data analysis. This research shows that Google Drive is quite successful in supporting the implementation of online administration services. This is evidenced by the perceptions of lecturers and students who feel that they get the convenience of service, although there are still inhibiting factors. Administration staff should carry out regular monitoring to improve Google Drive implementation.
Combination of Decision Tree and K-Means Clustering Methods for Decision Making of BLT Recipients in the Covid-19 Period Jani Kusanti; Djoko Sutanto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i1.937

Abstract

The economic conditions during the Covid-19 outbreak had an impact on society globally. The number of people who have experienced layoffs has an impact on the economic conditions of the family. The economic impact that helps the community encourages the government to increase efforts to increase social assistance in the form of BLT. However, the distribution of BLT was not right on target, there were still many people who really could not afford not to receive BLT, while those who were still able to get BLT assistance. Therefore, it is important in this study to use a combination of the K-Means Cluster and Decision Tree methods to be used in BLT recipient decision making, with the aim of increasing BLT recipients as expected. The calculation results were obtained using a combination of the K-Means Cluster and Decision Tree methods referring to the criteria for the community who has the right to receive data with an error level of -2.476190476 <from error tolerance 6.84.