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All Journal Jurnal Gaussian Priviet Social Sciences Journal
Muhammad Ahsan
Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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MODELING CHILD MALNUTRITION IN EAST JAVA USING THE INTEGRATION OF PARTIAL LEAST SQUARE WITH IMPORTANCE-PERFORMANCE ANALYSIS Zulfani Alfasanah; Bambang Widjanarko Otok; Muhammad Ahsan
Jurnal Gaussian Vol 15, No 1 (2026): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.15.1.12-23

Abstract

Child malnutrition remains a persistent public health concern in Indonesia, particularly in East Java, where stunting and undernutrition rates remain high despite national progress. Malnutrition in children is a multidimensional issue, influenced not only by dietary intake and disease but also by socio-economic conditions, caregiving practices, and environmental health factors such as access to clean water, sanitation, and health services. Addressing this complexity requires robust analytical methods. This study applies Partial Least Squares–Importance Performance Analysis (PLS-IPA) to model the pathways influencing child malnutrition and identify priority interventions. Results indicate that socio-economic factors act as primary predictors influencing food security, healthcare access, and parenting practices. Among direct determinants, environmental health services, including sanitation, clean water access, and maternal healthcare, show the strongest direct effect in reducing malnutrition. IPA results highlight food security as the most critical intervention priority due to its high importance but moderate field performance. Strengthening socio-economic development, improving food security, and sustaining environmental health interventions are recommended to support long-term reductions in child malnutrition in East Java.
Business Process Monitoring Using a Robust Max-Half-Mchart Developed with Fast S Estimator Awang Putra Sembada R; Muhammad Ahsan; Sischa Wahyuning Tyas; Muhammmad Galang Satrio Wicaksono; Nuchaila Ainiyah
Priviet Social Sciences Journal Vol. 6 No. 6 (2026): June 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i6.1845

Abstract

In a business environment, ensuring production processes plays a crucial role in a company's quality and stability. One tool that can be used to monitor the quality of business processes is a control chart. Control charts are useful tools for quickly monitoring a business process. Multivariate control charts are control charts that monitor several quality variables simultaneously. This is more effective than monitoring variables individually. There are control charts that can control the mean and covariance matrix of the process simultaneously, the tool used is a simultaneous multivariate control chart. Some commonly used methods are Max-Mchart, Max-MEWMA, Max-Half-Mchart. In addition to the method, it is also important to pay attention to the data in the business process. Data in business processes can contain outliers that cause classification errors. Therefore, a strong estimator is needed combined with a control chart to be resistant to outliers. The Fast S estimator is a robust estimator that has the ability to handle data containing outliers and combined with Max-Half-Mchart, a simultaneous control chart is good at detecting shifts in the production process. The results show that the Fast S estimator can detect six more out-of-control data points than the conventional method, which only detects two. There is a significant difference in detection rates between the Robust and non-Robust methods. These results indicate that the developed method is more sensitive than the method without the Robust estimator.
Co-Authors Awang Putra Sembada R Bambang Widjanarko Otok Muhammmad Galang Satrio Wicaksono Nuchaila Ainiyah Sischa Wahyuning Tyas Zulfani Alfasanah