Article Per Year (5 Year)
p-Index From 2021 - 2026
1.197
P-Index
This Author published in this journals
All Journal Jurnal Kajian Pendidikan Teknik Bangunan Jurnal Ilmiah Administrasi Publik Benefit: Jurnal Manajemen dan Bisnis Unnes Civic Education Journal Jurnal Pembelajaran Matematika JISIP: Jurnal Ilmu Sosial dan Pendidikan Journal of Social And Economics Research JOURNAL OF HEALTH MANAGEMENT RESEARCH Prestise: Jurnal Pengabdian Kepada Masyarakat Bidang Ekonomi dan Bisnis journal of social and economic research
Dewi Kurniasari, Dewi
Unknown Affiliation
Arts Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
ANALISIS PERBANDINGAN KEAKURATAN MODEL CAPM DAN APT DALAM MEMPREDIKSIKAN RETURN SAHAM LQ 45 DI BURSA EFEK INDONESIA (PERIODE 2013-2022) Kurniasari, Dewi; Saputra, Ilham Adhi
Journal of Social and Economics Research Vol 5 No 2 (2023): JSER, December 2023
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v5i2.94

Abstract

Penelitian ini bertujuan untuk mengetahui perbandingan antara model CAPM dan model APT yang lebih akurat dalam melakukan estimasi penilaian return saham terhadap perusahaan di LQ 45 yang telah diteliti selama sepuluh tahun, mulai dari tahun 2013 hingga tahun 2022. Variabel yang digunakan adalah variabel terikat yaitu expected return CAPM dan expected return APT dan variabel bebas yaitu Ri, Rm, β, Rf, BI Rate, dan Kurs. Metode penelitian ini menggunakan pendekatan kuantitatif dan komparatif dengan 19 perusahaan yang sesuai dengan kriteria sampel. Hasil penelitian menunjukkan nilai MAD CAPM lebih kecil dibandingkan MAD APT (0.016755 <0.17274). sehingga model CAPM lebih akurat dibandingkan model APT. Hasil uji beda Mann Whitney U Test menunjukan nilai signifikan sebesar 0.000 lebih kecil dari nilai a=0.05 (0.000<0.05) sehingga terdapat perbedaan yang signifikan antara MAD CAPM dan MAD APT dalam memprediksi nilai return saham pada indeks LQ 45 di Bursa Efek Indonesia selama periode 2013-2022.
Pengaruh Task Technology Fit (TTF) terhadap Performance Impact Penggunaan Rekam Medis Elektronik di RS Adi Husada Kapasari Surabaya Kurniasari, Dewi; Kurniawan, Afif; Putri, Linta Meyla
Journal of Health Management Research Vol 3 No 2 (2024): Journal of Health Management Research
Publisher : Bagian Penelitian & Pengabdian Masyarakat STIKES Adi Husada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37036/jhmr.v3i2.543

Abstract

Background: The implementation of Electronic Medical Records (RME) in hospitals aims to improve the efficiency and quality of health services. The implementation of RME needs to be adjusted to the task requirements and user characteristics in order to provide optimal benefits. The Task-Technology Fit (TTF) method can be used to analyze the fit between information technology and the tasks it supports. Aims: to determine the relationship between Task Technology Fit and Performance Impact. Electronic Medical Records at Adi Husada Hospital Kapasari Surabaya. Methods: This research uses a quantitative approach with a survey method on a sample of RME users in hospitals. Data was collected through questionnaires and analyzed using the Pearson correlation test Results: The research results show that the use of Electronic Medical Records (RME) has a significant effect on user performance. This is because the RME application is easy for users to understand and learn, and is able to provide the latest information according to patient service needs. With the ease of use and suitability of the RME application features to task requirements, it has a positive impact on improving the performance of officers who use the application in hospitals. Conclusion: Implementation of Electronic Medical Records (RME) in hospitals according to the Task-Technology Fit (TTF) method. The characteristics of RME and its suitability to task requirements have a positive impact on officer performance. Hospitals need RME development and training to improve efficiency and quality of service.
Co-Authors A.A. Ketut Agung Cahyawan W Babay Suhaemi, Babay Hakiki, Ach Kurniasari, Dedeh Kurniasari, Dedeh Kurniawan, Afif KUSNAN Marta, M Sandi Mua'mmar, Muhammad Nadhir PUJI LESTARI Riyadi Riyadi Saputra, Ilham Adhi Suyahmo Suyahmo Tri Atmojo Kusmayadi