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All Journal Business Economic, Communication, and Social Sciences Journal (BECOSS) Engineering, Mathematics and Computer Science Journal (EMACS)
Yuli Harwani
Mercu Buana University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mathematics

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Keputusan Pembelian Konsumen Gerai Makanan Cepat Saji Ditinjau dari Kualitas Produk, Persepsi Harga dan Iklan Yuli Harwani; Fauziyah Fauziyah
Business Economic, Communication, and Social Sciences (BECOSS) Journal Vol. 2 No. 3 (2020): BECOSS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v2i3.6659

Abstract

Western fast food restaurant recently becoming a solution in providing meal service for those who are busy, especially for workers, students. Fastfood considered favored for the decent taste and price. This study aims to investigate the customers’ decision on purchasing the product that is much affected by the product quality, perception on price and also advertisments. The data analysis is done for 170 closed questionaire form the McDonalds booth in Jakarta Barat using convience sampling method. The result of descriptive analysis showed that most of the customer visiting the booth is female, students and college students and in between the age of 15-21 years old. The data analysis method and the hypotheses test are utilized by Smart-PLS (Partial Least Square) to find out predictive linear relationship among the variables studied. The testing method is utilizing the Measurement Model (Outer Model) and structural model (inner model). Latent variable relationship test result indicates that prime decision on purchasing is significantly affected by perception on price. In addition, the product quality followed by advertising is significantly affected consumer purchasing decisions.
Framework Prediksi Serapan Bekerja Alumni Berbasis Pembelajaran Mesin Devi Fitrianah; Yuli Harwani
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.6251

Abstract

Menentukan serapan lulusan di dunia industri yang dicetak oleh perguruan tinggi merupakan sebuah usaha yang harus dilakukan dalam rangka untuk dapat melihat ke efektifkan kurikulum akademik yang diberikan pada saat dibangku kuliah. Karakteristik serta proses yang dilakukan untuk mendapatkan prediksi dan pemetaan ini memerlukan analisis data yang kompleks. Sebuah pendekatan pembelajaran mesin dengan framework prediksi dapat diterapkan untuk mendapatkan pola, prediksi dan pemetaan serapan lulusan di dunia kerja. Selain itu tentunya akan didapat sebuah pola jenis mahasiswa dengan karakteristik akademik seperti apa yang cepat diserap di dunia industri. Artikel ini mencoba menjawab untuk mengembangkan sebuah pendekatan prediksi berbasis pembelajaran mesin untuk menentukan serapan lulusan di dunia industri.
Co-Authors Devi Fitrianah Fauziyah Fauziyah