Penerapan K-Means++ pada Negara OKI Berdasarkan Faktor Risiko Ekonomi dan Politik Terkait Investasi Asing Langsung

Peranginangin, Fatimah Azzahra (2026) Penerapan K-Means++ pada Negara OKI Berdasarkan Faktor Risiko Ekonomi dan Politik Terkait Investasi Asing Langsung. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Investasi asing langsung atau foreign direct investment (FDI) tidak hanya berperan dalam mendorong pertumbuhan ekonomi dan ekspansi perusahaan, tetapi juga menjadi sarana transfer teknologi, pengetahuan, serta integrasi ekonomi antarnegara. Namun, studi terdahulu masih jarang meninjau profil risiko negara sebagai salah satu faktor yang berkaitan dengan arus masuk FDI, khususnya pada negara-negara anggota Organisasi Kerja Sama Islam (OKI). Oleh karena itu, Tugas Akhir ini bertujuan untuk mengelompokkan 31 negara anggota OKI berdasarkan profil risiko negara yang meliputi risiko ekonomi dan risiko politik, serta menganalisis karakteristik masing-masing klaster selama periode 1995 hingga 2023. Data yang digunakan merupakan data sekunder yang diperoleh dari World Bank. Pengelompokan negara dilakukan menggunakan metode K-means++, sedangkan karakteristik klaster dianalisis melalui statistik deskriptif. Hasil penelitian menunjukkan bahwa negara-negara anggota OKI dapat dikelompokkan ke dalam beberapa klaster dengan karakteristik risiko yang berbeda. Perbedaan karakteristik tersebut menunjukkan adanya variasi kondisi ekonomi dan politik antarnegara. Namun, pola arus masuk FDI pada masing-masing klaster mengindikasikan bahwa FDI tidak hanya dipengaruhi oleh profil risiko negara, melainkan juga oleh faktor lain di luar variabel risiko yang dianalisis dalam penelitian ini.
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Foreign direct investment (FDI) not only plays a role in promoting economic growth and corporate expansion but also serves as a channel for technology transfer, knowledge dissemination, and economic integration among countries. However, previous studies have rarely examined country risk profiles as a factor associated with FDI inflows, particularly in member countries of the Organization of Islamic Cooperation (OIC). Therefore, this Final Project aims to cluster 31 OIC member countries based on country risk profiles, including economic and political risk, and to analyze the characteristics of each cluster from 1995 to 2023. The data used in this study are secondary data obtained from the World Bank. The clustering process was conducted using the K-means++ method, while the cluster characteristics were analyzed through descriptive statistics. The results show that OIC member countries can be grouped into several clusters with distinct risk characteristics. These differences indicate variations in economic and political conditions across countries. However, the pattern of FDI inflows in each cluster suggests that FDI is not solely influenced by country risk profiles, but also by other factors beyond the risk variables analyzed in this study.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	FDI, Foreign direct investment, Klasterisasi, K-means++, Risiko ekonomi, Risiko politik, OKI, Organisasi Kerja Sama Islam, Statistik deskriptif, Clustering, Descriptive statistic, Economic risk, FDI, Foreign direct investment, K-means++, OIC, Organisation of Islamic Countries, Political risk
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HG Finance J Political Science > JA Political science (General) T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.84 Heuristic algorithms.
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Mathematics > 44201-(S1) Undergraduate Thesis
Depositing User:	Fatimah Azzahra Peranginangin
Date Deposited:	29 Jul 2026 06:18
Last Modified:	29 Jul 2026 06:18
URI:	http://repository.its.ac.id/id/eprint/139270

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