RAGAM: Journal of Statistics and Its Application
Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application

PENGARUH BUDIDAYA LEBAH MADU TERHADAP PEREKONOMIAN MASYARAKAT DI KOTA PALANGKA RAYA

Amalina Putri Syahira (Fakultas Ekonomi dan Bisnis Islam, Institut Agama Islam Negeri Palangka Raya)
Muhammad Riza Hafizi ((Scopus ID: 57223684904) Fakultas Ekonomi dan Bisnis Islam, Institut Agama Islam Negeri Palangka Raya)
Hasnita Handayani (Fakultas Ekonomi dan Bisnis Islam, Institut Agama Islam Negeri Palangka Raya)



Article Info

Publish Date
26 Jun 2024

Abstract

The aim of this research is to determine the effect of honey bee cultivation on the economy of the people in Palangka Raya and from a Sharia Economic perspective. type of research causal research. The researcher's data collection method uses questionnaires. The population in this study were honey bee cultivation managers from the 3 (three) Forest Farmer Groups (KTH) supported by the Central Kalimantan Provincial Forestry Service, totaling 40 people, while the sample in this study was 40 people from all members of the population. The data analysis technique used is a simple linear regression analysis technique using the SPSS 25 program. The results of the research show that the honey bee cultivation variable has a significant positive effect on the community economy, which means that the higher the value of the honey bee cultivation variable, the higher the value of the community economic variable. Based on a sharia economic perspective, this is appropriate because honey bee cultivation managers have implemented the indicators that researchers use, such as social solidarity, transparency and trust.

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Journal Info

Abbrev

ragam

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health

Description

RAGAM Journal publishes scientific articles in the field of statistics and its applications, including: * Biostatistics * Parametric and nonparametric statistics * Quality control * Econometrics and business * Industrial statistics * Time series analysis * Spatial statistics * Data mining * ...