Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : SINTECH (Science and Information Technology) Journal

IMPLEMENTASI TEORI NAIVE BAYES DALAM KLASIFIKASI CALON MAHASISWA BARU STMIK KHARISMA MAKASSAR Irayori Loelianto; Moh. Sofyan S Thayf; Husni Angriani
SINTECH (Science and Information Technology) Journal Vol. 3 No. 2 (2020): SINTECH Journal Edition Oktober 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v3i2.651

Abstract

STMIK KHARISMA Makassar has graduated thousands of alumni since it was founded. However, the number of students registering is uncertain every year, although from 2016 to 2019 there has been an increase in the number of registrations. The problem is the percentage of the number of prospective students registering has actually decreased significantly. The purpose of this research is to implement the Naive Bayes theory in classification of STMIK KHARISMA Makassar prospective students. This research basically uses the Naive Bayes theory as a classifier, and is made using the Python programming language. At the classifier design stage, there were a total of 499 data collected from 2016 to 2019. The data was divided by a ratio of 80:20 for training data and test data. The result from the research indicate the level of accuracy of the classifier reaches 73%.
RANCANG BANGUN MODEL DATA UNTUK MANAJEMEN DOKUMEN SISTEM PENJAMINAN MUTU INTERNAL: STUDI KASUS: STMIK KHARISMA MAKASSAR Mohammad Sofyan S Thayf; Arianti Arianti
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.734

Abstract

To achieve the objectives of the Internal Quality Assurance System, the Quality Standard document must be socialized to each work unit, and the existence of information technology will greatly assist in the distribution and socialization of these documents. This study aims to design and build a data model for storage and management of SPMI documents, especially Standard documents, which are generally in the form of files in print or digital format with a complete structure as a collection of text. With the data model designed, the Standard document is stored in a divided state into a number of entities that represent sub-sections of the document and are structured. This research produces a data model design with a relational system, so that it will produce optimal performance when create, retrieve, update and delete operations are carried out on Standard Documents, and still produce complete information about standard documents, as well as one aspect or context. in Standard documents and their linkages, through application programs and information systems. Testing was carried out by the black-box method of the SPMI document information system prototype which indicated that the data model was successfully implemented and worked well in its application.