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IMPLEMENTASI WEB SCRAPING UNTUK PENGUMPULAN DATA MEDIA SOSIAL LINGKUP PEMERINTAH PROVINSI NTB Hidayati, Lilik; Kusuma, Logananta Puja; Agustini, Dwi; Ardhana, Valian Yoga Pudya
Jurnal Sistem Informasi dan Informatika (Simika) Vol 7 No 1 (2024): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v7i1.3200

Abstract

The number of internet users in Indonesia has recently increased, currently reaching around 62.1% of the total population. The prevalence of social media use has provided benefits for many stakeholders to be involved in the socialization and promotion of their products and activities. Information regarding the latest government programs and activities is published through the official website of the West Nusa Tenggara Provincial Government and the official pages of each office within the West Nusa Tenggara Provincial Government. The potential of social media needs to be maximized in order to disseminate government programs and activities to the community. Social media offers governments the potential to increase democratic participation by encouraging the public to have a voice in policymaking, working with the public to improve services, gathering ideas, and increasing transparency. This research seeks to apply web scraping techniques to collect data with the aim of monitoring social media performance and identifying factors that are closely related to the level of response elicited by a social media post. The research results show that on average a post on the official page of the West Nusa Tenggara Provincial Government gets around 114.9 likes, 5.1 comments and 11.6 shares. Importantly, one of the important factors that influences the number of likes a post receives is the time it is published. Optimal publication times for the official pages of the West Nusa Tenggara Provincial Government are observed between 06.00-16.00 and 18.00-21.00. By looking closely at social media performance and identifying these influencing factors, social media managers are ready to gain invaluable insights to improve performance by precision and efficacy.
Pengembangan Model Semiparametrik Spline untuk Analisis Berat Badan Balita di Lombok Barat Hidayati, Lilik; Kusuma, Logananta Puja; Husain, Pahmi
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 5 No. 4 (2025): October
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v5i4.897

Abstract

Malnutrition remains a significant public health problem in developing countries, including Indonesia. In addition to stunting that has received a lot of attention, the problem of underweight nutrition in toddlers still requires serious studies and interventions. This study aims to model the nonlinear relationship between age and weight of toddlers, as well as identify factors that affect the incidence of underweight in West Lombok Regency. The semiparametric approach is used by applying piecewise polynomial regression and truncated splines with variations in polynomial orders and number of node points. The research data included toddler weight as a response variable, as well as 22 predictor variables representing the child's health condition, maternal characteristics, feeding practices, and household sanitation. The selection of the best model is made based on the Akaike Information Criterion (AIC) criteria. The results of the analysis showed that the two-order piecewise polynomial model with four knots was the best model, indicated by the lowest AIC value and the coefficient of determination (R²) of 97%. These findings indicate that the problem of underweight in toddlers is complex and multidimensional, requiring an integrated intervention approach across sectors. The semiparametric approach has been shown to be effective in capturing the growth patterns of toddlers that are not linear and dynamic.