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ANALISIS EKSPOR KOMODITAS PERKEBUNAN TERHADAP PERTUMBUHAN PEREKONOMIAN DI PROVINSI SULAWESI SELATAN Hamsiah, Hamsiah; Rahim, Abd. Rahman
COMPETITIVENESS Vol. 7 No. 1 (2018): COMPETITIVENESS
Publisher : UNIVERSITAS MUHAMMADIYAH MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jmbc.v7i1.4442

Abstract

This study aimed to determine and analyze the effect of export plantation commodities on economic growth in South Sulawesi. To know and analyze the export volume of plantation commodities, especially cocoa beans, coffee beans, cashew seeds, and rubber that affect the economic growth in South Sulawesi. And to know and analyze the effect of export trend of plantation commodities on economic growth in South Sulawesi. This research was conducted with the design of quantitative research method using time series data in the last 12 years.This results of the research shown 1) Export of plantation commodities such as cocoa beans, coffee beans, cashew seeds, and rubber had a mutual influence on economic growth in South Sulawesi in 2006 to 2017, 2) total exports of rubber commodities had a significant effect on economic growth in South Sulawesi, while cocoa beans, coffee beans, and cashew seeds had no significant effect, 3) trend analysis on total exports of plantation commodities such as exports of cocoa beans, coffee beans, cashew seeds, and rubber shown different trends. Commodities of cocoa beans, coffee beans, and rubber shows a negative trend while the commodity of cashew seeds had a positive trend and line. Keywords : Exports, Plantatioan Commodities, Economic Growth.
Implementation of Data Mining in the Application of K-Medoid Clustering Algorithm for the Distribution of New Students at Pondok Pesantren Mukhtariyah Ambai Hamsiah, Hamsiah
The Future of Education Journal Vol 4 No 7 (2025): #2
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i7.972

Abstract

Pondok Pesantren Muhktariyah Ambai is a private Islamic boarding school that accommodates both Tsanawiyah (junior high) and Aliyah (senior high) levels. It is located in Ambai Bawah Village, Sitinjau Laut District, Kerinci Regency, Jambi Province. Each year, the school admits new students from various schools across Kerinci Regency, Sungai Penuh City, and other surrounding regions. This study applies data mining concepts using the K-Medoid clustering algorithm to determine the distribution of new students based on their geographic origins and previous schools before continuing their education at Pondok Pesantren Muhktariyah Ambai. The data obtained can help the foundation identify which schools contribute the highest number of new students. The dataset used in this study consists of 2024 student data with attributes including Name, Gender, Previous School, and Address. The results of the study show the formation of three clusters: Cluster 0 consists of the largest group of new students, primarily from the Ambai area and from elementary schools located in Ambai Village; Cluster 1 includes students from Sungai Penuh and its surroundings; and Cluster 2 represents students from outside the region, who make up the smallest number of new enrollees at Pondok Pesantren Muhktariyah Ambai.