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All Journal JMPM (Jurnal Material dan Proses Manufaktur) Desimal: Jurnal Matematika Jurnal SOLMA JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JIKA: Jurnal Ilmu Keuangan dan Perbankan Jurnal Matematika UNAND SIGMA TEKNIKA Jurnal Siteba Jurnal Sintak STATISTIKA Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Jamu Integra: Journal of Integrated Mathematics and Computer Science Analit: Analytical And Environmental Chemistry
Handayani, Vitri Aprilla
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Journal : STATISTIKA

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Analysis of International Tourist Visits Based on Nationality and Tourism Travel Characteristics Using Complete Linkage Handayani, Vitri Aprilla; Sulistyono, Eko; Arrafi, Adamsyam; Hayati, Nahrul
Statistika Vol. 25 No. 1 (2025): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v25i1.5801

Abstract

Abstract. This research aims to analyze the characteristics of international tourists in Indonesia using Clustering Method: Complete Linkage. The study successfully identified 5 distinct clusters based on nationality and tourism travel characteristics. The analysis showed significant differences between clusters in terms of country of origin, travel patterns, preferences, expenditure, and tourist activities. Cluster 1 was dominated by ASEAN and Middle Eastern countries with stable visitation patterns influenced by geographical proximity and cultural and business relationships. Cluster 2 was the largest group, encompassing various countries with holiday and business tourism characteristics, longer stays, and higher expenditure. Clusters 3, 4, and 5 each consisted of a single country: Timor Leste, Hong Kong, and Papua New Guinea respectively, with unique visitation patterns. Each cluster showed differences in travel purposes, length of stay, expenditure, and activities of interest. A deep understanding of each tourist group’s characteristics was crucial for developing more targeted tourism marketing strategies. The clustering results could be utilized for infrastructure planning, resource allocation, promotional strategies, and service improvements tailored to each group’s characteristics, thereby enhancing tourist experiences and Indonesia’s overall tourism competitiveness.
ARIMA (p, d, q) Modeling for Predicting Exports of Fresh and Chilled Fish Based on Market Conditions and Main Destination Countries : The Case of Indonesia 2012-2022 Handayani, Vitri Aprilla; Sulistyono, Eko; Sunarsono, Hery; Arafi, Adamsyam; Harahap, Diana Sari
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3376

Abstract

ABSTRACT Fresh and chilled fish are the largest contributor to Indonesia's fishery product exports, accounting for a share of 45% or around USD 2.2 billion in 2021. The main destination countries for Indonesia's fresh and chilled fish exports include China, the United States, Japan, and other European countries. This research aims to analyze the factors influencing the export value of Indonesia's fresh and chilled fish, as well as to identify and evaluate the ARIMA (p, d, q) model based on historical data from 2012-2022. The result is an ARIMA (4,2,2) model with a MAPE value of 2.208 and a predicted value for the 2023 period of 4351 tons. This is in line with the large exports of fresh fish from Indonesia to various destination countries.
Co-Authors Alhamidi, Alhamidi Anggraeni, Andini Setyo Anjani, Syarli Dita Arafi, Adamsyam Arrafi, Adamsyam Auwalia, Farda Azhari, Fiqri Ardi Azzahra, Nabila Betricia , Jesicca candra, joni eka Devikaduri, Laras Eko Sulistyono Eko Sulistyono Sulistyono Farit Mochamad Afendi Harahap, Diana Sari Hazimah, Hazimah Hernando, Luki Irianto, Ardhiya Syifa Islamiati, Dian Jonathan, Steven Lestari, Windi Lilies Handayani Lunardi, Louis Majiid, Arsyil Mardiansyah, Yopy Muhammad Agus Muljanto Mulyono Mulyono Mustofa Usman Nahrul Hayati Nur Asikin Okti, Herpina Putri, Tia Aura Rahayu , Sri Rahmad Rahmad Rahmiati, Sari Sabarinsyah, Sabarinsyah Sabrina, Nadia Sadiq Ardo Wibowo, Sadiq Ardo Sari Rahmiati Sembiring, Rinawati Sihombing, Urianto Siti Laelatul Chasanah, Siti Laelatul Sunarsono, Hery Taufiq Rahman Tuto Bakang, Clarita Utama, Rifki Chandra Utami, Arli Magfirah Utami, Bernadhita Herindri Samodera Utami, Bulan Purnama Varischa, Bintang Wasiru, Moh. Arafat Widiarti Widya Reza Wisnu Ananta Kusuma Yoka, Ranara Athalla