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The Influence Of Electronic Word Of Mouth (E-Wom), Brand Image, And Service Quality On Customer Loyalty Through Customer Satisfaction In Maxim Online Transportation Services In Jabodetabek Asikin, Munawar; Fikri, Muhammad Jafar
INTERNATIONAL JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND SOCIAL SCIENCE (IJEMBIS) Vol. 5 No. 1 (2025): January 2025
Publisher : CV ODIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59889/ijembis.v5i1.459

Abstract

This study aims to analyze the influence of electronic word of mouth (E-WOM), brand image, and service quality on customer loyalty, with customer satisfaction as an intervening variable in the context of the Maxim online transportation service. The research method employed is a quantitative approach using Structural Equation Modeling (SEM) analysis with the JASP application version 0.19.3. The research sample was obtained using purposive sampling, involving 100 respondents who are users of Maxim services in the Greater Jakarta area (Jabodetabek). Data were collected through questionnaires distributed both online and offline, with criteria that respondents must have used Maxim's services more than twice in the last three months and be over 18 years old. The results of the study show that E-WOM does not have a significant effect on customer satisfaction or loyalty, either directly or through customer satisfaction as a mediating variable. In contrast, brand image and service quality have a positive and significant effect on customer satisfaction. Additionally, customer satisfaction has been proven to have a positive and significant impact on customer loyalty and mediates the relationship between brand image and service quality with customer loyalty. However, service quality does not have a direct significant effect on customer loyalty, indicating that customers tend to be more loyal due to their satisfaction level rather than service quality alone. These findings suggest that to improve customer loyalty, Maxim needs to focus on enhancing brand image and service quality, as well as strengthening strategies to increase customer satisfaction. Although E-WOM is often regarded as an important factor in digital marketing, it does not directly contribute to customer loyalty in the context of online transportation services.
IMPLEMENTATION OF THE DBSCAN ALGORITHM FOR CLUSTERING STUNTING PREVALENCE TYPOLOGY IN WEST JAVA, CENTRAL JAVA, AND EAST JAVA REGIONS Sumargo, Bagus; Kadir, Kadir; Safariza, Dena; Asikin, Munawar; Siregar, Dania; Sari, Nilam Novita; Umbara, Danu; Hilmianto, Rizky; Kurniawan, Robert; Firmansyah, Irman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp1779-1790

Abstract

Stunting, a condition where children are malnourished for a long period, causes growth failure in children. West Java, Central Java, and East Java are the 3 provinces with the highest prevalence of stunting in 2021. This study aims to group districts/cities in these provinces based on factors that influence stunting using the DBSCAN method (there has been no previous research using this method for this case), so the typology of stunting prevalence is implied. The group results can be valuable input for policy priorities in overcoming stunting. The study used the DBSCAN (Density-Based Spatial Clustering of Application with Noise) method, which can also detect noises (outliers). The determination of eps and MinPts is based on the average value of the distance from each data to its closest neighbor. The distance obtained then was used in the KNN algorithm to determine eps and MinPts parameters. Clustering is done using standardized data and DBSCAN parameters obtained from the k-dist plot, eps is 1.92, and MinPts is 2. The validation test used is the silhouette coefficient to determine the goodness of the cluster results. The clustering results show that there are 2 clusters and 1 noise that have special characteristics related to factors that influence the prevalence of stunting. Cluster 1 consisted of 97 districts/cities and was characterized by a high percentage of infants under 6 months receiving exclusive breastfeeding and the lowest average per capita household expenditure. Cluster 2 (Bekasi City and Depok City) was characterized by the lowest percentage of households with proper health facilities and infants aged 0-59 months receiving complete immunization. The noise (high stunting prevalence) in Bandung City is characterized by the lowest percentage of households having proper sanitation.
Sekolah Keluarga Berkualitas: Pencegahan Stunting di Kabupaten Sukabumi Herawati, Tin; Hastuti, Dwi; Yuliati, Lilik Noor; Ryadi, Yusuf; Asikin, Munawar
Jurnal Pengabdian Inovasi Masyarakat Indonesia Vol. 4 No. 2 (2025): Edisi Agustus
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpimi.v4i2.6284

Abstract

Human resources are the primary capital in national development and the most important aspect needed to advance a nation. The issue of stunting in Indonesia poses a threat to the development of quality human resources. Families play a crucial role in contributing to societal issues, including stunting. Family empowerment through the Quality Family School aims to provide education to mothers with young children and pregnant women. This program was implemented in two locations: Gede Pangrango Village and Sukamanis Village. A total of 100 participants attended the school. The results of the activity showed an increase in participants' knowledge regarding family resilience, parenting, financial management, child value investment, and family functions.