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INITIAL CENTROID OPTIMIZATION OF K-MEANS ALGORITHM USING COSINE SIMILARITY Azmi, Fadhillah; Utama, Kevin; Gurning, Oki Thomas; Ndraha, Syukurman
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.855 KB) | DOI: 10.31289/jite.v3i2.3211

Abstract

Clustering salah satu metode yang sering digunakan di berbagai bidang yang melakukan analisis data, termasuk penggalian data, pengambilan dokumen, segmentasi gambar, dan klasifikasi pola. Adapaun tujuan dari metode tersebut adalah untuk mengelompokkan data ke dalam suatu cluster sehingga kesamaan antara anggota data dalam suatu data informasi yang telah di-cluster yang sama adalah maksimal, di sisi lain untuk kesamaan di antara anggota data yang lain berbeda cluster minimal. Ada beberapa pendekatan metode untuk mengurangi kesalahan pada saat centroid awal yang dipilih selama proses pengelompokan berlangsung. Disini data yang digunakan adalah data acak yang dibuat secara manual yatu 30 data dan 5 atribut, sehingga diperoleh hasil akurasi clustering dalam centroid dengan menggunakan metode K-Means memiliki signifikan 86.67%, sedangkan  menggunakan K-Means dengan cosine similarity tidak jauh berbeda yaitu sebesar 89.7%, maka dari itu hasilnya cukup baik.
Difusi Model Live Commerce Tiongkok dalam Ekosistem Shopee Live dan Implikasinya terhadap Kompetensi Bahasa Mandarin Vokasional di Sektor E-Commerce Indonesia Lisa, Mei; Romy, Elly; Wenny; Utama, Kevin
Jurnal Ekonomi Bisnis Manajemen Prima Vol. 7 No. 2 (2026): Jurnal Ekonomi Bisnis Manajemen Prima
Publisher : JEBIM Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jebim.v7i2.8007

Abstract

Digital transformation has accelerated the rise of live commerce as a major innovation within the global e-commerce ecosystem, with China emerging as a leading pioneer whose practices have increasingly shaped other markets, including Indonesia. This study investigates the diffusion and adaptation of the Chinese live commerce model through Shopee Live in Indonesia, examines the effects of live commerce stimuli on Generation Z consumers’ purchasing behaviour, and explores the structural implications for vocational Mandarin language competencies in cross-border e-commerce. Adopting a quantitative descriptive–explanatory design, the study employs the Stimulus–Organism–Response framework and the Elaboration Likelihood Model to explain consumer decision-making processes. Data were collected via an online questionnaire administered to 112 Indonesian Generation Z consumers who actively use Shopee Live and were analysed using descriptive and explanatory statistical methods. The findings demonstrate that live commerce stimuli—particularly price promotions, real-time interaction, and host persuasion—significantly influence purchase intention and impulsive buying behaviour, with persuasive effects operating predominantly through the peripheral route. Furthermore, the results reveal a strong interconnection between Shopee Live and cross-border supply chains dominated by Chinese suppliers. This indicates that the diffusion of the live commerce model extends beyond shaping digital consumption patterns to restructuring cross-border business interactions. Consequently, the study underscores the growing strategic importance of vocational Mandarin language competencies that are practical, industry-oriented, and culturally sensitive. It concludes that vocational Mandarin proficiency constitutes a critical component of human resource development in Indonesia’s e-commerce sector amid the intensification of cross-border digital economic integration.