cover
Contact Name
Forum Bisnis dan Kewirausahaan
Contact Email
forbiswira@mdp.ac.id
Phone
+62711376400
Journal Mail Official
forbiswira@mdp.ac.id
Editorial Address
Jalan Rajawali No 14 Palembang
Location
Unknown,
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INDONESIA
Forum Bisnis dan Kewirausahaan
Core Subject : Economy,
FORBISWIRA , Forum Bisnis dan Kewirausahaan merupakan jurnal ilmiah berkala yang diterbitkan oleh STIE Multi Data Palembang (MDP Business School), Indonesia. Merupakan media bagi para dosen, mahasiswa, alumni, dan peneliti lainnya untuk mempublikasikan hasil-hasil penelitian dan paper yang berisi perkembangan mutakhir ilmu pengetahuan dalam bidang ilmu ekonomi manajemen, akuntansi, dan kewirausahaan (entrepreneurship). FORBISWIRA diterbitkan pertama kali dengan edisi Volume 1 Nomor 1 pada September 2011 dengan ISSN 2089-0001 yang diperoleh dari LIPI. Jurnal ini terbit 2 (dua) kali setahun pada bulan September dan Maret. Redaksi dengan senang hati menerima artikel baik berupa publikasi hasil penelitian maupun gagasan inovatif mengenai perkembangan ilmu pengetahuan. Artikel yang masuk dan dapat diterbitkan bila telah melalui tahap review oleh para reviewer sesuai dengan ketentuan yang berlaku. Ucapan terima kasih disampaikan kepada dosen, mahasiswa, alumni dan peneliti yang telah mengirimkan artikel, para penyunting ahli dan mitra bestari yang telah meluangkan waktunya mereview artikel, serta segenap manajemen STIE Multi Data Palembang dan Yayasan Multi Data Palembang yang telah mendukung penerbitan jurnal. Semoga kehadiran FORBISWIRA mampu berkontribusi bagi perkembangan ilmu pengetahuan dan memberi manfaat bagi kita semua.
Articles 212 Documents
PENGARUH E-SERVICE QUALITY DAN E-TRUST TERHADAP KEPUTUSAN PENGGUNAAN PINJAMAN ONLINE EASYCASH Lina, Lina; Tyra, Maria Josephine
Forum Bisnis Kewirausahaan Vol 15 No 1 (2025): Forum Bisnis dan Kewirausahaan
Publisher : LPPM Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/forbiswira.v15i1.13578

Abstract

This study aims to determine the effect of E-Service Quality and E-Trust on the decision to use. The data used in this study is primary data. The population in this research consists of users of online loan services on the EasyCash platform. The sampling technique applied was purposive sampling, involving a total of 100 respondents. Hypothesis testing was conducted using descriptive statistical analysis, data quality testing, classical assumption testing, as well as T-test and F-test, with results processed using SPSS. The findings of this study indicate that E-Service Quality and E-Trust implemented by EasyCash have apositive and significant effect on the decision to use online loans on the EasyCash platform.
ANALISIS DETERMINAN PENDAPATAN PEDAGANG KAKI LIMA DI KAWASAN MALIOBORO PASCA RELOKASI Fathurrahman, Ayif; Arsianto, Anisa Nendiya
Forum Bisnis Kewirausahaan Vol 15 No 1 (2025): Forum Bisnis dan Kewirausahaan
Publisher : LPPM Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/forbiswira.v15i1.13579

Abstract

The Yogyakata Special Region Government has made a policy regarding regulations for the Malioboro area, namely regarding Relocation in order to regulate the Malioboro area into an area that is clean from street vendors. This study uses independent variables, namely business capital, length of business, location, working hours, and level of education, while the independent variable uses income. This study aims to determine the business capital, length of business, location, working hours, and level of education on the terraces of Malioboro have an influence on income and to determine the income of post-relocation street vendors. In this study, researchers used primary data and took samples using a questionnaire.The researchers only took 100 respondents after going through the Sloving formula calculation method, fromthe total population of street vendors on the terraces of Malioboro. The analytical tool method used by the researcher is multiple linear regression which as the dependent variable is income and the independent variables are business capital, length of business, location, working hours, and level of education.