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Contact Name
Fahrudin Muhtarulloh
Contact Email
fahrudin.math@uinsgd.ac.id
Phone
+6282240814040
Journal Mail Official
kubik@uinsgd.ac.id
Editorial Address
Jl. A.H. Nasution No.105, Cibiru, Bandung 40614
Location
Kota bandung,
Jawa barat
INDONESIA
KUBIK: Jurnal Publikasi Ilmiah Matematika
ISSN : 23380896     EISSN : 26860341     DOI : 10.15575/kubik
Fuzzy Systems and its Applications Geometry Theories and its Applications Graph Theories and its Applications Real Analysis and its Applications Operation Research and its Applications Statistical Theories and its Applications Dinamical Systems and its Applications Mathematics Modeling and its Applications Discrete Mathematics and its Applications Computer Mathematics and its Applications Mathematics Actuaria and its Applications
Articles 12 Documents
Search results for , issue "Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika" : 12 Documents clear
Analisis Pola Konvergensi Transpor Kelembapan Udara di Indonesia Bagian Barat Menggunakan K-Means dengan Pembobotan Statistik dan Hierarchical Shape-Based Clustering Pratiwi, Asri; Azis, Tukhfatur Rizmah; Fitrianto, Anwar; Erfiani, Erfiani; Jumansyah, L.M. Risman Dwi
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.39753

Abstract

This study analyzes the convergence patterns of Vertically Integrated Moisture Transport (VIMT) in the western region of Indonesia using the K-Means method with statistical weighting and Hierarchical Shape-Based Clustering based on Dynamic Time Warping (DTW). Daily data on specific humidity, zonal wind speed, and meridional wind speed from 2020–2023 were used to calculate VIMT. Clustering methods were utilized to identify grouping patterns in moisture transport data. The results showed that moisture convergence significantly increased during the rainy season (November–February). Using the K-Means method, five clusters with clearer separations were obtained compared to the four clusters produced by the Hierarchical Clustering method. Performance evaluation using Silhouette and Calinski-Harabasz scores indicated that the K-Means method was superior, with scores of 0.37 and 104.88 compared to 0.13 and 96.34 for the Hierarchical method. This provides an understanding of the moisture transport patterns, serving as a reference for predicting weather and climate patterns, thereby supporting efforts to mitigate the impacts of extreme weather in Western Indonesia.
ANALISIS PERSAINGAN E-COMMERCE MENGGUNAKAN METODE GAME THEORY DAN MARKOV CHAIN DALAM PENENTUAN STRATEGI PEMASARAN OPTIMAL Rahmadani, Devy; Rakhmawati, Fibri
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.40273

Abstract

Dalam dunia teknologi yang terus berkembang, penjualan barang melalui media sosial (e-commerce) sudah banyak dilakukan oleh banyak orang. Platform e-commerce telah menjadi bagian penting dalam perdagangan global. Penelitian ini bertujuan untuk menganalisis persaingan antara Shopee dan TikTok Shop menggunakan metode Game Theory dan Markov Chain guna menemukan strategi pemasaran yang optimal. Penelitian ini menggunakan pendekatan kuantitatif dengan pengumpulan data melalui kuesioner yang disebarkan kepada 82 responden di Kota Medan, Sumatera Utara. Analisis data yang digunakan pada penelitian ini menggunakan uji validitas dan uji reabilitas serta melihat nilai maksimum dan minimum dari data yang didapat. Hasil penelitian menunjukkan bahwa probabilitas pergeseran aplikasi Shopee meningkat selama empat minggu sebesar 0,78 (78%) dimana strategi optimalnya adalah voucher. Sebaliknya, TikTok Shop hanya mengalami peningkatan sebesar 0,22 (22%) dimana strategi optimal berupa promo. Penelitian ini menyimpulkan bahwa strategi pemasaran berbasis voucher dan promo dapat meningkatkan daya saing kedua platform, dengan implikasi signifikan bagi pengembangan strategi pemasaran berbasis data dalam e-commerce.

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