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Yogi Andreawan
Akademi Administrasi Rumah Sakit Mataram
Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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EVALUASI EKONOMI DALAM PENYULUHAN KESAHATAN Hairun Nisa; Abi Burrahman; Adinda Maulida; Sahidun; M. Yuza Royandi; Yogi Andreawan; Lale Ajeng Khalifatun Wardani
Nusadaya Journal of Multidiciplinary Studies Vol. 1 No. 4 (2022): Nusadaya Journal of Multidiciplinary Studies, December 2022
Publisher : LPPM, Akademi Administrasi Rumah Sakit Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66294/njms.v1i4.25

Abstract

Economic problems always attract great attention of individuals or society especially in health. Various ways have been done by the government to solve the problem. This article aims to explore economic evaluation on health counseling. This article is a research based on a literature review using the library method. The results show that the economic analysis of public health programs is generally identified by calculating the value of money. One of the limitations of economic analysis is that it does not take into account the value of the pain or suffering experienced in terms of money.
ANALISIS PENGARUH SARANA PRA-SARANA TERHADAP KEPUASAN PASIEN DI PUSKESMAS LABUHAN LOMBOK Yogi Andreawan; Muhammad Habibullah Aminy; Slamet Mardiyanto Rahayu; Lale Ajeng Khalifatun Wardani; Muhammad Aditya Rachman; Wahyu Aprilyaningsih
Nusadaya Journal of Multidiciplinary Studies Vol. 1 No. 12 (2025): Nusadaya Journal of Multidiciplinary Studies, February 2025
Publisher : LPPM, Akademi Administrasi Rumah Sakit Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66294/njms.v1i12.84

Abstract

Based on the results of the t-test and R-test, it can be concluded that the variable x has a real and quite strong influence on y. From the t-test, it is known that the coefficient value for x is 1.175 with a significance value of 0.000. Because this number is smaller than 0.05, it means that the influence of x on y is very significant or really exists, not happening by chance. Meanwhile, from the R-test, the value of R = 0.722 is obtained, which indicates that the relationship between x and y is quite strong and positive. In addition, the R Square value = 0.521 means that approximately 52% of changes in y can be explained by x, while the rest is influenced by other factors outside the model. Simply put, these two tests both show that x does indeed influence and is closely related to y, and this model can be used to predict the value of y based on x.
Co-Authors Abi Burrahman Adinda Maulida Hairun Nisa Lale Ajeng Khalifatun Wardani Lale Ajeng Khalifatun Wardani M. Yuza Royandi Muhammad Aditya Rachman Muhammad Habibullah Aminy Sahidun Slamet Mardiyanto Rahayu Wahyu Aprilyaningsih