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Audit Tata Kelola TI Berbasis COBIT 2019 di Politeknik XYZ Nurul Ilma Hasana Kunio; Ema Utami; Alva Hendi Muhammad
Jurnal Ilmiah Universitas Batanghari Jambi Vol 22, No 2 (2022): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v22i2.1994

Abstract

An IT governance audit is a way to evaluate the course of IT governance in an organization so that it can be seen whether the implementation of IT governance in the organization is in accordance with the guidelines and standards or not. The results of the audit will be reported to stakeholders so that they can be followed up. This research will use the COBIT 2019 framework in conducting IT audits. This study aims to determine the quality of service, management performance and determine the risks that occur at XYZ Polytechnic. From the results of the assessment on the capability level in the domains BAI03, BAI06, BAI07, and BAI10, it was found that these domains are the top four values in the COBIT design factor.
Implementasi Metode Cluster Analysis K-Means dalam Segmentasi Engelberth Worabai; Alva Hendi Muhammad; Tony Hidayat
Jurnal Ilmiah Komputasi Vol. 22 No. 3 (2023): Jurnal Ilmiah Komputasi : Vol. 22 No 3, September 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.22.3.3493

Abstract

UMKM smilax ointment is a business that sells goods in the form of ointments that are useful for the male reproductive organs. These MSMEs still use traditional business strategies and use computer technology only for database creation. Smilax ointment UMKM product is Smilax cream which consists of 3 packages, namely 100 grams, 80 grams, and 40 grams. The research was conducted using the UMKM database and the clustering method used was k-means clustering because K-means is non-hierarchical in accordance with the data obtained from UMKM. In addition, k-means is able to classify data very quickly compared to fuzzy k- means[1]. This research includes the stages of data collection, preprocessing, analysis process (k-means), evaluation, and conclusions. The results of the clustering classification which was carried out four times based on the type of packaging, obtained a value of k = 2 where the cluster "0" is the unproductive region/city and cluster "1" is the most productive region/city, namely Jakarta and Jayapura both for the 100 gram, 80 gram, packaging type. and 40grams.