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All Journal Parameter: Journal of Statistics Jurnal Visi Manajemen (JVM)
Jasmine Angelia Suriawan
Institut Teknologi Sepuluh Nopember
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Instrument Prospective Analysis on BISNIS-27 Index Stocks Using K-Means Cluster Analysis, Forecasting, and Error Correction Model (ECM) Jasmine Angelia Suriawan; Muhammad R Faathir Habibie; Nur Latifatul Qolbi; Anis Syaifatul Azizah; Davina Mufidah; Octavia Ayu Wardhani; Maharani Indriyana
Jurnal Visi Manajemen Vol. 10 No. 2 (2024): Jurnal Visi Manajemen
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/jvm.v10i2.502

Abstract

Investment is the activity of placing funds in one or several investment objects for a certain period of time to obtain future profits. The important role of investment in supporting economic growth can be seen from its ability to channel funds to sectors in need, thereby increasing productivity, creating jobs, and increasing income. Stock investment has become one of the most popular instruments because of its profit potential, both from dividends and rising stock prices, although it is accompanied by high risk. Technological developments and easy access to information have attracted more people to invest in stocks, especially through stock indices such as the BISNIS27 Index which reflects the performance of the best performing companies. The selection of this index is important as it reflects the overall market performance and provides a strong reference for investors. To analyze stock performance, fundamental and technical analysis approaches are used, which complement each other in providing a complete picture for investors. In addition, forecasting and ECM (Error Correction Model) methods are used to project future stock prices and analyze the long-term relationship between economic variables. The result of this study is that the best forecasting method of ICBP stock is single exponential smoothing with an alpa value (α = 0.7) because it has the lowest error rate and ICBP stock meets all assumptions of stationarity, cointegration, multicollinearity and IIDN.
CLUSTERING OF REGENCIES/CITIES IN WEST JAVA PROVINCE BASED ON INDICATORS THAT AFFECT AIR QUALITY USING PRINCIPAL COMPONENT ANALYSIS AND K-MEANS CLUSTERING Jasmine Angelia Suriawan; Muhammad Fairuz Ahnaf
Parameter: Journal of Statistics Vol. 5 No. 1 (2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2025.v5.i1.17489

Abstract

Air quality in Indonesia has significantly declined over the past two decades, transforming from one of the cleanest countries in 1998 to one of the twenty most polluted by 2016 due to a 171% increase in air particulate pollution concentrations. This study examines factors affecting air quality in West Java Province, one of Indonesia’s most populous regions, using Principal Component Analysis (PCA) and K-Means Clustering. The analysis includes 14 variables, such as population density, forest area, road length, and vehicle numbers. PCA was used to reduce data dimensions while retaining essential characteristics, identifying two principal components: population mobility and land infrastructure. The cluster analysis revealed two distinct groups: Cluster 1 includes 18 regencies/cities with lower population mobility and land infrastructure, indicating better air quality, while Cluster 2 consists of 9 regencies/cities with higher population mobility and land infrastructure, potentially reflecting worse air quality. Areas in Cluster 2 are concentrated near DKI Jakarta, Bandung, and the eastern border with Central Java, suggesting the influence of urbanization, industrial activities, and cross-border emissions. This study provides a spatial grouping of regencies/cities in West Java based on air quality indicators, offering insights for policymakers to target interventions more effectively. The findings emphasize the need for sustainable urban planning and stricter environmental regulations to address the growing air pollution challenge.
Co-Authors Anis Syaifatul Azizah Davina Mufidah Maharani Indriyana Muhammad Fairuz Ahnaf Muhammad R Faathir Habibie Nur Latifatul Qolbi Octavia Ayu Wardhani