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PERAN KEPERCAYAAN MEMEDIASI PENGARUH CITRA MEREK TERHADAP NIAT BELI DI TOKOPEDIA I Komang Wiratama; I Gde Ketut Warmika; I Gst. Ayu Kt. Giantari
E-Jurnal Manajemen Vol 12 No 6 (2023)
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJMUNUD.2023.v12.i06.p05

Abstract

Indonesia merupakan negara dengan pengguna internetnya yang cukup tinggi. Tingginya pengguna internet memberikan peluang bisnis online di Indonesia untuk berkembang, salah satunya marketplace Tokopedia. Penelitian ini bertujuan untuk menganalisis peran kepercayaan dalam memediasi pengaruh citra merek terhadap niat beli. Penelitian ini dilakukan pada marketplace Tokopedia di Kota Denpasar dengan jumlah sampel sebanyak 110 responden dengan alat bantu kuesioner yang diukur dengan Skala Likert. Sampel ditentukan dengan menggunakan model non-probability sampling dengan teknik purposive sampling. Teknik analisis data yang digunakan adalah analisis jalur (path analysis) dengan bantuan program SPSS for windows. Hasil analisis pada penelitian ini menunjukkan citra merek dan kepercayaan berpengaruh positif dan signifikan terhadap niat beli, citra merek berpengaruh positif dan signifikan terhadap kepercayaan, serta kepercayaan secara parsial memediasi hubungan citra merek terhadap niat beli. Implikasi penelitian ini dapat menjadi referensi bagi perusahan Tokopedia untuk dapat mengembangkan strategi dalam upaya menjaga dan meningkatkan citra merek dan kepercayaan konsumen, sehingga mampu meningkatkan minat konsumen dalam bertransaksi melalui Tokopedia. Indonesia is a country with high internet users. The high number of internet users provides opportunities for online businesses in Indonesia to develop, one of which is the Tokopedia marketplace. This study aims to analyse the role of trust in mediating the effect of brand image on purchase intention. This research was conducted at the Tokopedia marketplace in Denpasar City with a sample size of 110 respondents using a questionnaire using a Likert Scale. The sample was determined using a non-probability sampling model with purposive sampling technique. The data analysis technique used is path analysis with the help of the SPSS for windows program. The results of the analysis in this study indicate that brand image and trust have a positive and significant effect on purchase intention, brand image has a positive and significant effect on trust, and trust partially mediates the relationship between brand image and purchase intention. The implications of this study can be a reference for the Tokopedia company to be able to develop strategies in an effort to maintain and improve brand image and consumer confidence, so as to increase consumer interest in transacting through Tokopedia.
SISTEM PENENTUAN KEPUTUSAN KELAYAKAN PENERIMA KREDIT MENGGUNAKAN METODE ROC - SAW : DECISION ELIGIBILITY DECISION SYSTEM OF CREDIT RECEIVER USING ROC - SAW METHOD Bagus Kusuma Wijaya; I Gede Iwan Sudipa; Rachmat; I Komang Wiratama; Ni Made Chintya Sasri
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1372.748 KB) | DOI: 10.55606/juisik.v2i2.167

Abstract

The Bali Mandiri Cooperative is a cooperative that operates in the savings and loan sector. Data processing of savings and loan activities submitted in credit applications is still done manually so that the credit department must make the right decisions, especially if there are doubts in determining decisions for prospective borrowers, where the doubts are because the criteria for prospective borrowers are almost the same, this is having an impact on the company if the wrong decision occurs in the event of bad credit. The decision support system using Rank Order Centroid (ROC) calculations and the Simple Additive Weighting (SAW) method compares manual and system calculations that show the same results. This system includes data management which provides for managing data criteria, attribute value data, and submitting data (credit applicant data, data selection period, data submission, and decision support system process). This data will produce a credit applicant report and a credit applicant selection report.