Aina Musdholifah
Jurusan Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pembentukan Temporal Association Rules Menggunakan Algoritma Apriori (Studi Kasus:Toko Batik Diyan Solo) Annisa Mauliani; Sri Hartati; Aina Musdholifah
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 10, No 1 (2016): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.11190

Abstract

In this study the adding of time aspect on association rules mining result was used. The aspect of time that was used in this study was date of transactions. The information that was resulted from time aspect adding in association rules mining was known as temporal association rules mining..            In this study, Apriori Algorithm was used for the forming of temporal association rules. This result which show Algorithm Apriori and Temporal Association Rules can be used to get more information about Temporal Association Rules. The Result of this examination can be used for decision support for manager. Because the result of Temporal Association Rules have explanation about event. So from the result of Temporal Association Rules can be knowing, the Temporal Association Rules happened at the time of event.In Ramadan Idul Fitri 2013 and Ramadan Idul Fitri 2014 with parameter assess minsup 10%, mintempsup 5, minconf 50%, resulting different Temporal Association Rules. In Ramadan Idul Fitri 2013, no resulting Temporal Association Rules. While is on Ramadan Idul Fitri 2014 resulting Temporal Association Rules with the biggest value of support 14%, that is {BLBP} à  {HPCK}.
SPK Rekomendasi Pemilihan Kandidat Pejabat Struktural Menggunakan Metode Profile Matching (Studi Kasus: Pemerintah Kota Tarakan) Ria Astriratma; Retantyo Wardoyo; Aina Musdholifah
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 1 (2017): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.17342

Abstract

Through the State Civil Apparatus Law, the Government attempt to reduce nepotism by creating an open competition system among civil servants in the process of filling positions. Regional Civil Service Agency (BKD) Tarakan already has personnel database and decision support system that can combine the existing database with the scoring model to get the candicate profile who fit with vacant positions is needed to support more objective performance.The Application of profile matching method in this decision support system is expected to help the candidate selection process on structural officer in the Government of Tarakan comply with the ability of a required field in a position. From the research we concluded that the change in the value of the candicate profile, and the number of subcriteria that used to categorize the positions can affect the closeness of candidates with vacant position and the use of profile matching method for case that the highest value is the best value requires that the ideal value used is the value the maximum in order to avoid exceeding the expectations of ideal.