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All Journal bit-Tech JURNAL TEKNOLOGI TECHNOSCIENTIA Journal of International Conference Proceedings
Kusumawati, Dara
STMIK AKAKOM Yogyakarta
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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PERANCANGAN SISTEM INFORMASI AKUNTANSI UNTUK SISTEM PIUTANG Kusumawati, Dara
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 6 No 2 Februari 2014
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v6i2.557

Abstract

Now a days many sales transactions are done on credit, so this raises the receivables. The number of mutations receivables transaction requires the owner to improve the management of accounts receivable so that mutations can be generated reports of rapid and accurate accounts. It is necessary for the design of accounting information systems for accounts receivable system. Information system design research methodology used is receivable accounting system starters, system analysis, system design, system implementation and system testing. Accounting Information Systems for receivable system will do the recording onset and reduced accounts receivable and will produce basic information such as accounts receivable, accounts receivable cards each debtor, and Statement of accounts receivable aging analysis of receivables.
Drop Out Students Identification Using Knowledge Base Dara Kusumawati; Dini Faktasari
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.372 KB) | DOI: 10.32877/bt.v2i1.102

Abstract

The purpose of this study is modeling for the initial identification of college dropout students. Samples were taken from drop out student data for the past 4 years. Information from this sample will be acquired as a knowledge base in system modeling. The research aims to provide a knowledge-based system approach using Dempster Shafer for the management of student drop outs at universities especially in Yogyakarta. The symptoms of DO students are obtained from knowledge about DO that appears on campus in Yogyakarta. The system output is in the form of 3 groups of classification namely initial potential DO, enough potential and once potential. The results of the study produced a system that could help university managers deal with drop-out problems early.
Developing a Decision Support System with Dynamic Criteria for The Best Employee Assessment Deborah Kurniawati; Dara Kusumawati; Munifatul Arifah
Journal of International Conference Proceedings (JICP) Vol 2, No 2 (2019): Proceedings of the 4th International Conference of Project Management (ICPM) Man
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i2.603

Abstract

One of the efforts of the organizations management to foster the morale of human resources (HR) is to reward the best performing HR. HR with the best performance is assessed by various criteria determined by the organization. The problem is, how can a large organization that has many branches and / or organizational fields be able to select HR with the best performance objectively; while each branch or field of organization can have different emphases or interests in each HR assessment criteria. This research develops a decision support system that can be used to select the best HR with dynamic criteria and weighting. Criteria can be added or reduced, also the weight of the criteria can be adjusted to the system user. Decision support system was developed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. With TOPSIS it is possible to enter criteria that are expected to be positive and criteria that are expected to be negative. The results of the research conducted are a decision support system for determining the best employees with a dynamic and flexible multi model, where the criteria and weighting can be adjusted to the needs of the branch office or each part.
Co-Authors Deborah Kurniawati Dini Faktasari Munifatul Arifah