Peningkatakan pertumbuhan industri hotel pada tiap tahunnya dan preferensi konsumen yang bervariasi dalam kebutuhan layanan hotel mengakibatkan konsumen lebih konsumtif dalam memilih hotel. Kurangnya pilihan kriteria bobot pada penyedia layanan hotel mengakibatkan konsumen mengalami kesulitan dalam memilih hotel yang sesuai dengan preferensinya, sehingga diperlukan sebuah sistem rekomendasi hotel sebagai pilihan alternatif dalam memilih hotel. Dalam penelitian ini digunakan permodelan Case Based Reasoning (CBR) untuk memberikan pembelajaran kepada sistem. Pilihan dari user pada pilihan hotel secara otomatis akan disimpan ke dalam database dan dijadikan sebagai data training sehingga sistem akan mendapatkan informasi secara berkelanjutan. Pada penelitian ini diberikan tiga jenis kebutuhan antara lain Kebutuhan Prioritas (KP), Kebutuhan Umum (KU) dan Kebutuhan Tambahan (KT) dan atribut yang digunakan terdapat enam yaitu: fasilitas, lokasi, harga, tipe kamar, bintang dan skor yang sangat mempegaruhi hasil rekomendasi. Untuk setiap nilai bobot yang ada, dilakukan uji validitas bobot kepentingan menggunakan pairwise comparison matrix (PCM) sehingga nilai bobot menjadi valid dengan rentang nilai 0-1. Selain itu penerapan content based filtering menggunakan metode haversine formula dan K-Nearest Neighbor (KNN) dalam menentukan nilai terdekat dengan data training. Dari eksperimen, didapatkan hasil pengukuran performansi yang memuaskan berupa rata-rata kemiripan (similarity) sebesar 84.50% Kata kunci : Case Based Reasoning, Content Based Filtering, Haversine Formula, K-Nearest
Audit software for data analytics, most commonly known as Generalised Audit Software (GAS), has been used by audit organisations since the deployment of IT in business organisations. The use and importance of GAS has increased with the growth in the sophistication and proliferation of IT within business organisations. Despite this development, recent studies have reported that GAS is still underused and identified that the factor contributing most to such underutilisation of GAS isThis is a preliminary stage of thesis development. Publications included in this thesis No publication included Contributions by others to the thesisNo contributions by others. My thanks also go to the faculty of UQBS and within the BIS cluster in particular for their advice and assistance. From my interactions with them, especially during the research seminars, I learnt a lot about how to conduct a good research project, including how to deal with issues I have. My special thank goes to Dr Terry Rowlands who helped me understand data analysis using R and gave me advice when I stuck with R.Secondly, I would like to thank the audit organisation who agreed to participate in my study, especially for the staff and auditors who gave support and assistance during the data collection processes.Lastly, I would like to send my thanks to my PhD fellows at PhD zone for their support, sharing, and motivation especially during the challenging times of doing research.
This study aimed to review how regression analysis has been used in studies of abstract phenomenon, such as audit quality, an importance concept in the auditing practice (Schroeder et al., 1986), yet is not well defined. The articles reviewed were the research articles that include audit quality as research variable, either as dependent or independent variables. The articles were purposefully selected to represent balance combination between audit specific and more general accounting journals and between Anglo Saxon and Anglo American journals. The articles were published between 1983-2011 and from the A/A class journal based on ERA 2010’s classifications. The study found that most of the articles reviewed used multiple regression analysis and treated audit quality as dependent variable and measured it by using a proxy. This study also highlights the size of data sample used and the lack of discussions about the assumptions of the statistical analysis used in most of the articles reviewed. This study concluded that the effectiveness and validity of multiple regressions do not only depends on its application by the researchers but also on how the researchers communicate their findings to the audience.KEYWORDSAudit quality, regression analysisABSTRAKKajian ini bertujuan untuk mereviu bagaimana analisa regresi digunakan dalam suatu fenomena abstrak seperti kualitas audit, suatu konsep yang penting dalam praktik audit (Schroeder et al., 1986) namun belum terdefinisi dengan jelas. Artikel yang direviu dalam kajian ini adalah artikel penelitian yang memasukkan kualitas audit sebagai variabel penelitian, baik sebagai variabel independen maupun dependen. Artikel-artikel tersebut dipilih dengan cara purposif sampling untuk mendapatkan keterwakilan yang seimbang antara artikel jurnal khusus audit dan akuntansi secara umum, serta mewakili jurnal Anglo Saxon dan Anglo American. Artikel yang direviu diterbitkan pada periode 1983-2011 oleh jurnal yang masuk dalam kategori A/A berdasarkan klasifikasi ERA pada tahun 2010. Kajian ini menemukan bahwa sebagian besar artikel-artikel tersebut menggunakan analisa regresi berganda dan menjadikan kualitas audit sebagai variabel dependen serta mengukurnya menggunakan proksi. Kajian ini juga menyoroti ukuran data sampel yang digunakan dan kurangnya pembahasan mengenai asumsi yang digunakan dalam analisa statistik. Kajian ini menyimpulkan bahwa efektivitas dan validitas penggunaan analisa regresi berganda dalam penelitian tidak hanya bergantung pada kemampuan peneliti untuk menggunakannya, namun juga pada kemampuan peneliti untuk mengkomunikasikan hasil penelitiannya kepada pembaca.KATA KUNCIKualitas audit, analisa regresi
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.