Claim Missing Document
Check
Articles

Found 12 Documents
Search

MODELING OF LEPROSY CASES IN NORTH SULAWESI USING NEGATIVE BINOMIAL REGRESSION Fatikha, Sintia Nova; damayanti, ina; Fadri, Firda
Parameter: Journal of Statistics Vol. 5 No. 2 (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.i2.17805

Abstract

Leprosy is a chronic infectious disease that remains a public health concern in Indonesia, particularly in provinces where the disease is still endemic. North Sulawesi Province is among the regions with relatively high leprosy incidence, indicating the need for province-level analysis to better understand the factors associated with the occurrence of the disease. This study aims to identify the factors influencing the number of leprosy cases in North Sulawesi Province. The explanatory variables considered include the percentage of people living in poverty, the number of health workers, the percentage of toddlers immunized with BCG, the percentage of the population covered by health insurance, the percentage of households with access to clean drinking water, and the percentage of households with access to proper sanitation. The study uses secondary data obtained from official publications of the Central Statistics Agency (BPS) of North Sulawesi Province for the year 2023. Since the response variable is count data, Poisson regression was initially applied. However, due to the presence of overdispersion, Negative Binomial Regression was employed as an alternative modeling approach to obtain more reliable parameter estimates. The results indicate that the percentage of the population covered by health insurance has a statistically significant effect on the number of leprosy cases, with higher coverage associated with a reduction in reported cases. Other variables were found to have no significant effect at the chosen significance level. In conclusion, the findings highlight the importance of health insurance coverage in reducing leprosy incidence in North Sulawesi Province. The use of Negative Binomial Regression proves to be appropriate for modeling overdispersed leprosy case data and can support evidence-based policymaking in leprosy control programs.
Pelatihan Peningkatan Kualitas Pendidik Dalam Mewujudkan Guru Inspiratif Dan Adaptif Terhadap Perubahan Pendidikan Di Era Digital Mubarok, Ramdanil; Jumrianah, Jumrianah; Damayanti, Ina; Kadir, Abdul
Jurnal Pengabdian Masyarakat (Bisma) Vol. 4 No. 1 (2026): Jurnal Pengabdian Masyarakat (Bisma) (In Press)
Publisher : Universitas Darunnajah, Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61159/bisma.v4i1.795

Abstract

The changing landscape of education in the digital era demands that teachers not only be pedagogically competent, but also adaptable to technology and inspiring in values. This Community Service (PkM) activity aims to improve the quality of education at the Al-Munawwir Islamic Boarding School in South Sangatta through integrated digital literacy training that encompasses professional, spiritual, and ethical aspects. The implementation method uses a participatory training approach with hands-on practice involving 25 teachers and educational staff. The training was carried out in three main stages: delivering conceptual material, practicing using digital tools (Canva for Education, Google Workspace, and Padlet), and professional reflection. The results of the activity showed significant improvements in digital literacy aspects (48%), understanding of the role of inspirational teachers (35%), and awareness of digital ethics (29%). Participants were able to integrate technology into learning in line with the Islamic boarding school's character values and spirituality. In addition to individual improvement, the Al-Munawwir Digital Inspirational Teacher Community (GIDA) was also formed as a forum for sustainability and collaboration after the training. These results reinforce Prensky's digital wisdom theory and support Fullan & Quinn's deep learning framework, which emphasizes the balance between knowledge, skills, and character in education. This activity contributes to the development of an integrative-holistic training model for Islamic boarding school teachers that combines digital skills and value modeling. These findings are expected to be replicated in other faith-based educational institutions to strengthen the professionalism of inspiring, adaptive teachers in responding to educational changes in the digital era.