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Pemodelan Jumlah Kasus Tuberculosis Di Provinsi Jawa Barat Menggunakan Pendekatan Binomial Negatif Indira Ihnu Brilliant; Deby Fakhriyana
Consilium Sanitatis: Journal of Health Science and Policy Vol. 1 No. 2 (2023)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.441 KB) | DOI: 10.56855/jhsp.v1i2.282

Abstract

Objective: This study aims to model the number of Tuberculosis cases in West Java Province in 2021 using the Negative Binomial Regression approach. Methods: This study used quantitative analysis uses secondary data from the Central Bureau of Statistics website and the Health Office of West Java Province. 27 West Java districts/cities were studied. The number of tuberculosis cases was assumed to be affected by population density, poverty, sanitation, and health complaints in the past month. Negative Binomial Regression was used to analyse data. Results: The results showed that Poisson Regression caused overdispersion, which was solved using the Negative Binomial Regression approach. The Negative Binomial Regression model passed a detailed test. The partial test showed that only the variable percentage of low-income persons and the variable percentage of people with health concerns significantly affected the model with regression coefficients of 0.8755 and 1.0318, respectively. The final Negative Binomial Regression model with the lowest Akaike Information Criterion value of 491.9 is best for this investigation. Conclusion: The most suitable model for modelling the number of Tuberculosis cases in West Java Province in 2021 is the Negative Binomial Regression model with independent variables that significantly influence the model, namely the percentage of poor people and the percentage of people who have had complaints recently.
SOSIALISASI JASP: PELATIHAN ANALISIS DATA STATISTIK BAGI AKADEMISI MAKASAR Retno Subekti; Nur Insani; Indira Ihnu Brilliant; Eminugroho Ratna Sari; Fitriana Yuli Saptaningtyas; Nurul Bayyinah
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 2 (2026): Periode April 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i2.7813

Abstract

Limited access to licensed statistical software is one of the obstacles in strengthening data analysis competencies at the Makassar Ujung Pandang Education Foundation (YPUP) College of Teacher Training and Education (STKIP). The introduction of free and open-source statistical software such as Jeffreys's Amazing Statistics Program (JASP) has encouraged the implementation of this service activity. The activity aims to increase literacy and readiness to use legal and easily accessible alternative statistical software. The workshop was held online on July 11–12, 2025 with a participatory training approach that included presentation of educational research design, demonstration of the use of JASP, as well as descriptive, parametric, and non-parametric statistical analysis practices. There were 37 participants including lecturers and students, with 33 participants filling out the evaluation instruments. The evaluation was carried out descriptively through a self-assessment questionnaire to measure the level of understanding of participants after the training. The results showed that 32.73% of participants strongly agreed and 67.27% agreed that they had understood the use of JASP. These findings indicate an increase in initial literacy and readiness for the adoption of open-source-based statistical software. Although the objective measurement of the improvement of analytical skills through pre-test and post-test has not been carried out, this activity opens opportunities for the integration of JASP in learning and research and becomes the basis for planning further assistance as a form of program sustainability.