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All Journal Jurnal RAK (Riset Akuntansi Keuangan) J-Icon : Jurnal Komputer dan Informatika
Ahmad Adri
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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PENGARUH LOCUS OF CONTROL, TURNOVER INTENTION, KINERJA DAN KOMITMEN ORGANISASI TERHADAP PENERIMAAN PENYIMPANGAN PERILAKU DALAM AUDIT PADA KANTOR AKUNTAN PUBLIK BERAFILIASI DI DKI JAKARTA Meilinda Hariani; Ahmad Adri
Riset Akuntansi Keuangan Vol 2, No 1 (2017): Jurnal Riset Akuntansi Keuangan
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/rak.v2i2.223

Abstract

Tujuan penelitian ini adalah untuk menguji secara empiris variabel locus of control, turnover intention, kinerja dan komitmen organisasi yang secara langsung mempengaruhi penerimaan penyimpangan perilaku dalam audit. Responden dalam penelitian ini adalah para auditor yang bekerja pada kantor akuntan publik berafiliasi di DKI Jakarta. Data primer dikumpulkan dengan metode survey dan menggunakan kuesioner. Penentuan sampel dilakukan dengan convenience sampling. Diperoleh sebanyak 72 responden yang dapat dijadikan sampel dari 8 Kantor Akuntan Publik (KAP). Hasil penelitian menunjukkan bahwa tiga variabel yaitu locus of control,turnover intention dan komitmen organisasi secara langsung berpengaruh signifikan ke arah positif terhadap penerimaan penyimpangan perilaku dalam audit sedangkan variabel kinerja tidak berpengaruh signifikan terhadap penerimaan penyimpangan perilaku dalam audit
IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISA DATA PENJUALAN (STUDI KASUS: TOKO UD. SURYANI) Ahmad Adri; Nelci Dessy Rumlaklak; Derwin Roni Sina
J-Icon : Jurnal Komputer dan Informatika Vol 9 No 2 (2021): Oktober 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v9i2.5132

Abstract

Transaction data owned by a store or supermarket every day is sure to increase, but it is often found that the transaction data is just stored and notused. This is what happened at the UD. Suryani store, where the existing transaction data has not been used properly, even though the collection of transaction data has the potential for information that can be processed to produce useful new knowledge. This transaction data processing can be done with data mining techniques. One of the data-mining techniques that can be used is the association rule method. One of the data retrievalalgorithms with association rules is the Apriori algorithm. This algorithm serves to determine the association relationship of a combination of itemsand is suitable to be applied when there are several item relationships to be analyzed. The purpose of this research is to apply data mining to the transaction data for the last one year in the UD. Suryani store. The data mining processing process is carried out with the rapidminer application and from nine trials with different combinations of minimum support and minimum confidence values for 13,490 transaction data, the results obtained are that the item most purchased by consumers is the Masako Sapi Renteng 10g with a support value of 14,5% and for items that are often purchasedtogether, if you buy Eggs and Blue Band 200g, you will buy Kompas Kemasan 1kg, with the highest confidence value of 66.5%.
Co-Authors Derwin Roni Sina Meilinda Hariani Nelci Dessy Rumlaklak