Abdillah Menri Munthe
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INTRODUCTION AND MARKETING OF LOCAL NATURAL TOURISM POTENTIAL PEMATANG VILLAGE, NORTH LABUHANBATU REGENCYTHROUGH SOCIAL MEDIA Aperius Zega; Pristiyono; Abdillah Menri Munthe
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 5 No. 1 (2025): March-June 2025
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/irpitage.v5i1.2813

Abstract

Social media has penetrated into many parts of people's lives, including influencing the way tourists conduct tourism activities in Pematang Village. This study aims to understand the contribution of social media in promoting tourism in Pematang Village and to formulate steps to optimize social media as a tourism promotion tool. The method used in this study is descriptive qualitative with data collection methods of observation, documentation and interviews with tourists and the community around the tourist attractions of Pematang Village. The data analysis technique used is SWOT analysis in SWOT analysis there are external factors consisting of opportunities and threats and internal factors consisting of strengths and weaknesses.
The Effect of Tariffs, Working Hours, and Location on Maxim Drivers' Income in Rantauprapat City Gilang Ananda Abdila; Bayu Eko Broto; Abdillah Menri Munthe
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 1 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i1.9946

Abstract

His research attempts to examine how location, working hours, and tariffs affect Maxim drivers' earnings in Rantauprapat City. In this study, 75 respondents were chosen at random using an associative method and a quantitative approach. A Likert-scale questionnaire was used to gather the data, and SPSS multiple linear regression was used for analysis. The findings demonstrated that while tariffs and location had no discernible impact on drivers' income, working hours had a favorable and considerable impact. All factors had a considerable impact on drivers' income at the same time. According to the coefficient of determination (R2) value of 0.383, the independent variables account for 38.3% of the variation in income, with additional factors outside the research model influencing the remaining portion.