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WEIBULL-POISSON DISTRIBUTION AND THEIR APPLICATION TO SYSTEMATIC PARALLEL RISK Widyaningsih, Yekti; Ivana, Rugun
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0053-0064

Abstract

The Weibull-Poisson distribution represents a continuous distribution type applicable to various forms of hazard, including monotone up, monotone down, and upside-down bathtub shapes that ascend. The distribution characterizes lifetimes and can effectively model failures within a series of systems, which evolves from the Exponential-Poisson distribution. This distribution emerges through the compounding of the Weibull Distribution and Zero Truncated Poisson Distribution. The compounding itself integrates several mathematical properties, such as statistical order and Taylor’s number expansion, to reach its final form. Alongside the formulation of the Weibull-Poisson distribution, this paper includes the probability density function, distribution function, rth moment, rth central moment, mean, and variance. For illustration, the Weibull-Poisson distribution is applied to guinea pig survival data after being infected with Turblece virus Bacilli.
Analysis of Factors that Explain Customer Satisfaction and Its Relationship with Repurchase Intention at Fresh Food E-Commerce in Jabodetabek Post Pandemic Agustin, Natania; Widyaningsih, Yekti; Setiadi, Rianti
Statistika Vol. 25 No. 2 (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.v25i2.4966

Abstract

Abstract. Consumers now have the flexibility to purchase fresh food both online and offline in the post-pandemic era. In this competitive landscape, only companies that can retain their customers are likely to survive. This study investigates the factors influencing customer satisfaction and its impact on repurchase intention in the context of fresh food e-commerce. Specifically, it examines the effects of product quality, fair price, perceived ease of use, service response speed, and service convenience on customer satisfaction, and further explores the moderating role of customer experience in the relationship between satisfaction and repurchase intention. Primary data were collected using a purposive sampling technique from 160 respondents who had purchased fresh food from Sayurbox, Segari, Allofresh, or Astro within the last six months. Data was analyzed using Partial Least Square, a non-parametric statistical technique suitable for modeling latent variable relationships without distributional assumptions. The results show that product quality, fair price, service response speed, and service convenience significantly and positively influence customer satisfaction. In contrast, perceived ease of use does not have a significant effect. Customer satisfaction has a strong positive influence on repurchase intention. However, customer experience does not significantly moderate the relationship between customer satisfaction and repurchase intention. These findings highlight the importance of maintaining product and service quality to enhance customer satisfaction and encourage repeat purchases in the fresh food e-commerce sector.
CLUSTERING OF COUNTRIES BASED ON WORLD HAPPINESS INDICATORS USING K-MEANS Adylla, Fahira Puti; Lestari, Dian; Widyaningsih, Yekti
Jurnal Statistika dan Aplikasinya Vol. 9 No. 2 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09209

Abstract

Happiness is a multidimensional concept encompassing emotional well-being, life satisfaction, and perceived quality of life. The increasing use of happiness indicators as complementary measures of development beyond economic growth has attracted growing attention in statistical and applied research. This study aims to classify countries based on a comprehensive set of world happiness indicators using the K-Means clustering method. The indicators include the Happiness Index (subjective), gross domestic product (GDP) per capita, social support, healthy life expectancy, freedom to make life choices, generosity, negative perceptions of corruption, crime index, and cost of living. The optimal number of clusters is determined using the Silhouette Index, while Biplot analysis is employed to visualize cluster characteristics and relationships among indicators. The results identify three distinct clusters. Cluster 1 is dominated by countries with low happiness levels, Cluster 2 represents countries with moderate happiness profiles, and Cluster 3 consists of countries with high happiness levels. The findings demonstrate the effectiveness of multivariate clustering techniques in revealing structural patterns in happiness data and provide empirical evidence that may support comparative statistical analysis and policy-oriented applications.
Javanese Batik Motifs and Ornamentation as Objects of Aesthetics and Generative Art with Pseudo-Algorithm Saputro, Dewi Retno Sari; Widyaningsih, Yekti; Wibowo, Antoni
Javanologi: International Journal of Javanese Studies Vol 6, No 1 (2022): Javanologi Volume 6 No. 1: December
Publisher : Pusat Unggulan Ipteks Javanologi Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/javanologi.v6i1.71586

Abstract

The batik patterns that are known to be fractal are the reality that there are alternative perspectives that exist among Indonesian society and civilization which are unique relative to the general modern perspective. This uniqueness is important considering that fractals are a form of understanding geometry and system complexity. Pseudo-algorithm in batik is an ornamentation process: klowongan-isenharmonization which starts from the smallest fractional elements of batik motifs (fractals), has selfsimilarity and is carried out through iterative computational methods. Batik as a patterned aesthetic object has pseudo-algorithmic depiction rules that can be treated as a generative art form. Batik that can be developed as fractal batik is batik with geometric motifs. Fractals have initiated a change and presented scientific creativity and progressivity in several fields in the form of interdisciplinary. All computational patterns growth to find fractal character in batik can turn into the sources of creativity to create new motifs.Keywords: Javanese batik, ornamentation, Aesthetic, pseudo algorithm