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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH MATEMATIKA DAN TERAPAN KOMPUTIKA - Jurnal Sistem Komputer Parameter: Journal of Statistics MULTIPLE: Journal of Global and Multidisciplinary Tadulako Science and Technology Journal Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Khazanah Journal: Economics, Muamalah dan Entrepreneurship
Rais
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Forecasting of the Amount of Rupiah Banknotes Flows in the East Region of Indonesia Using Circular Regression Jassinca Chrissma Audina; Rais; Handayani, Lilies
Parameter: Journal of Statistics Vol. 2 No. 1 (2021)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2021.v2.i1.15681

Abstract

Money is a tool that can be used in exchanging goods and services in a certain area. Increasing and decreasing in the money supply excessively can have a negative impact on the economy. For this reason, in order to maintain financial system stability in Indonesia, it is necessary to conduct an analysis of the data on the amount of outflows of rupiah currency at each Bank Indonesia office. In this study, a relationship analysis will be carried out between the eastern region of Indonesia and the amount of outflows of Bank Indonesia banknotes during the 2016-2018 period using circular regression analysis. The results showed that 83.03% of the variation in the amount of outflows of BI banknotes could be explained by the circular regression model that was formed. In addition, in the process of forecasting data on the amount of outflows of BI banknotes in the eastern region of Indonesia for the 2019-2020 period, the time series forecasting method is used which is based on the use of analysis of the relationship pattern between the estimated variables and the time variable.
Strategi Word Of Mouth Dalam Meningkatkan Jumlah Member Baru: Studi Etnografi Pada Member Alif Gym Makassar Syam, Andi Hendra; Rais
Khazanah Journal: Economics, Muamalah & Entrepreneurship Vol. 2 No. 3 (2025)
Publisher : LPPM STIE Tri Dharma Nusantara - Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53654/kh.v2i3.657

Abstract

Word of Mouth (WOM) strategies have become a key driver in increasing the number of new members at Alif Gym Makassar. This study uses an ethnographic approach to analyze how WOM is formed, practiced, and interpreted by the gym's member community. Data were collected through participant observation, in-depth interviews with 10 active members, and social media content analysis. The results show that WOM at Alif Gym develops through four main mechanisms: (1) personal recommendations as an emotional bridge to reduce anxiety among prospective members, (2) visual practices such as social media posts as a form of social validation, (3) the role of informal opinion leaders in disseminating healthy lifestyle innovations, and (4) WOM as a symbol of solidarity and collective identity. These findings reinforce the theories of symbolic interactionism (Blumer, 1969) and diffusion of innovation (Rogers, 2003), by demonstrating that the power of WOM lies in the authenticity of experiences and the collective socio-cultural context of the Bugis-Makassar community. This study provides practical implications for the fitness industry to optimize community-based marketing strategies and interpersonal relationships
Grouping Districts / Cities in Central Sulawesi Province Based on Poverty Indicators Using the Fuzzy Geographically Weighted Clustering -Artificial Bee Colony Method Nafiul Agristya; Rais; Iman Setiawan
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17301

Abstract

Introduction: Poverty is the main problem that is the focus of attention of the government in Indonesia. In general, poverty is a person's inability to meet basic basic needs in every aspect of life. Cluster analysis is a solution to map this problem. Method: Fuzzy Geographically Weighted Clustering-Artificial Bee Colony (FGWC-ABC) is one clustering method that is an integration of classical fuzzy clustering methods and geodemographic elements. Artificial Bee Colony is a metaheuristic algorithm that is used as a global optimization to increase cluster accuracy. Artificial Bee Colony can efficiently and effectively solve various function optimization problems in various cases. Result and Discussion: The research results obtained 3 optimum clusters with each cluster characteristic relatively different based on poverty indicators. Cluster 1 with low poverty, cluster 2 with high poverty, and cluster 3 with moderate poverty. Conclusion: By using the IFV validity index, 3 optimum clusters were obtained with different characteristics of each cluster based on its indicators. Cluster 1 consists of three regencies/cities with low poverty status, cluster 2 consists of seven regencies/cities with high poverty status, and cluster 3 consists of six regencies/cities with moderate poverty status.
Co-Authors A. Melantik Rompegading Abdul Basit Agus Mohamad Soleh Andi Ferosita Sustrisno Andi Hendra Syam Budi Susetyo Fadjriyani Fajri, M Fiskia, N Gamayanti, Nurul Fiskia Hartayuni Sain Imam Hanafi Iman Setiawan Jamidun Jassinca Chrissma Audina Krisdianto, A H Lilies Handayani Lukman Maliku, E T Mohammad Fajri Musnar Indra Daulay Nafiul Agristya Nur'Eni Nursyahraini Husen Sain, H Setiawan, Iman Shadri Suryanto, Wiwit Very Kurnia Bakti, Very Kurnia