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Dina Eka Putri
Prodi Statistika Jurusan Matematika Universitas Brawijaya
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Pemodelan Umur Harapan Hidup di Provinsi NTB dengan menggunakan SEM-PLS Zulhan Widya Baskara; Baskara, Zulhan Widya; Putri, Dina Eka; Purnamasari, Nur Asmita
Mandalika Mathematics and Educations Journal Vol 6 No 2 (2024): Edisi Desember
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v6i2.8261

Abstract

Life expectancy (LE) is an essential indicator reflecting public health status and the success of health systems. In Nusa Tenggara Barat (NTB) Province, LE remains below the national average, with significant regional disparities. This study seeks to examine the connections between access to sanitation and clean water, child health, and maternal health in relation to LE in NTB. The research employs the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method, which facilitates the analysis of complex interrelationships among variables.The results indicate that sanitation and clean water access significantly influence LE, followed by child health. However, women's and maternal health does not have a significant influence on the improvement of life expectancy in NTB.
Analisis Minat Pemilih Mahasiswa Gen Z di Universitas Mataram Terhadap Pemilihan Gubernur Di NTB Tahun 2024 Zulhan Widya Baskara; Amini, Elsa; Fauzi, Meilinda; Ramdhani, Triana Putri; Ulfaturrahmi, Ulfaturrahmi; Putri, Dina Eka; Baskara, Zulhan Widya
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.295

Abstract

This study aims to analyze the determinants of voting behavior among Generation Z students in the context of the 2024 Gubernatorial Election in West Nusa Tenggara (NTB), Indonesia. Utilizing a quantitative approach, the research applies multiple linear regression to examine the influence of sociological, psychological, and rational factors on voting behavior. Primary data were collected through an online questionnaire distributed to 97 purposively selected active students at the University of Mataram. The instrument employed a 4-point Likert scale to minimize neutral responses. The findings reveal that psychological and rational factors significantly influence voting behavior, whereas sociological factors do not show a statistically significant effect. The regression model yielded an Adjusted R² value of 0.549, indicating that the three independent variables explain 54.9% of the variance in voting behavior.
Analysis of Factors that Influence Poverty in West Nusa Tenggara Using Principal Component Regression Zulhan Widya Baskara; Harsyiah, Lisa; Baskara, Zulhan Widya; Putri, Dina Eka; Fadhilah, Rifdah
Eigen Mathematics Journal Vol 8 No 1 (2025): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v8i1.229

Abstract

West Nusa Tenggara (NTB) is one of the provinces in Indonesia with a percentage of poor people according to the March-September period in 2019, namely 14.56% -13.88%, while in 2020 it was 13.97% -14.23% and in 2021 the percentage was 14.14% -13.83%. The factors suspected of influencing poverty in each province have different conditions each year, so repeated observations are needed on poverty data and the factors that influence it. If the data contains multicollinearity, then one of the classic assumptions of multiple linear regression is not met so that the problem of multicollinearity needs to be addressed. The Principal Component Regression (PCR) method is the most consistent compared to the ridge and least square regression methods in solving multicollinearity problems. This study aims to analyze poverty in NTB using the PCR method. The data used in this study are the number of poor people and factors influencing poverty based on districts in NTB in 2020-2022. Based on the calculation results, it was obtained that Component 1 with an eigenvalue of 4.008 explained 57.2% of the variance, while Component 2 with an eigenvalue of 1.740 explained 82.1% of the variance. Both components significantly affect poverty according to the results of simultaneous and partial tests. This model has an R^2 value of 0.302 or 30.2% and the remaining 69.8% is influenced by external factors (error). The R^2 value is classified as a weak category and it is recommended to add other factors that affect poverty including access to electricity, access to sanitation, access to clean drinking water, and government spending.
A Analisis Faktor Yang Mempengaruhi Ketergantungan Penggunaan Chatgpt Pada Pengerjaan Tugas Mahasiswa Universitas Mataram Zulhan Widya Baskara; Arbyati, Asri Mustika; Apriliana, Baiq Nurul; Putri, Devi Karina; Aisya, Hakiki Latifa; Putri, Dina Eka; Baskara, Zulhan Widya
Semeton Mathematics Journal Vol 2 No 2 (2025): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i2.299

Abstract

The use of artificial intelligence technology, such as ChatGPT, is increasing among students to support their academic assignments. However, dependence on this technology needs to be analyzed to understand the factors that influence it. This study aims to analyze the factors that influence the dependence on the use of ChatGPT in completing assignments of Mataram University students. Sampling was carried out using the quota sampling method, involving 98 respondents who were Mataram University students and ChatGPT users. The method used was multiple linear regression to evaluate the effect of independent variables on dependence, and factor analysis to identify the structure of these variables. Based on the results of the analysis, one main factor was found which was formed from four variables, namely ChatGPT Ease of Use, ChatGPT Reliability, User Satisfaction, and Perceived Benefits. This main factor was able to explain 71.73% of the total data variation, which showed a significant contribution to students' dependence on using ChatGPT. Thus, this study shows that these variables are interrelated and influence the level of students' dependence on ChatGPT in completing academic assignments.
Faktor-Faktor yang Memengaruhi Minat Belanja Mahasiswa Kota Mataram pada Live Produk di Tiktok dan Shopee Zulhan Widya Baskara; Graha, Syifa Salsabila Satya; Istiqomah, Nisa Ul; Wulandari, Ika; Asmawati, Ismi; Baskara, Zulhan Widya; Putri, Dina Eka
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.6913

Abstract

The development of live shopping on the Shopee and TikTok platforms has changed consumer shopping behavior, including students in Mataram City. This study has two main objectives. The first objective is to identify eight independent variables that influence college students' shopping interest when Live shopping on the two platforms, which are analyzed using multiple linear regression. The second objective was to examine the relationship between shopping decisions and shopping interest using correlation analysis, which focused specifically on these two variables due to their significant relationship in the context of consumer action. Data was collected through a questionnaire that was tested for validity and reliability, with a Cronbach's Alpha value of 0.95 which indicates a high level of consistency. The results of the classical assumption test show that the model meets the assumption of multicollinearity, but does not meet the assumptions of normality and homogeneity. Multiple linear regression shows an R value of 0.75, which indicates a strong relationship between the independent variables and the shopping interest of respondents. Substantial factors that influence shopping interest include interaction and engagement, product quality and variety, and shopping satisfaction when Live. Meanwhile, price, influencer participation, time constraints, gender, and platform did not show a substantial influence.
Determinasi Faktor Psikososial terhadap Kesehatan Mental Mahasiswa Matematika Universitas Mataram Selama Penyusunan Skripsi Zulhan Widya Baskara; Sahadatin, Aulia; Anggara, Rosa; Baskara, Zulhan Widya; Putri, Dina Eka
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 2 (2025): November
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i2.6831

Abstract

This study examines the relationship between undergraduate thesis preparation and the mental health of Mathematics students at Universitas Mataram, focusing on key factors that influence the thesis process. These factors include motivation to graduate on time, peer support/social environment, availability of learning resources, and supervisor support. The findings indicate that motivation to graduate on time (x1) has the strongest positive impact on mental health. Additionally, supervisor support (x4) and the availability of learning resources (x3)  positively impact students' mental health, while social support  (x2) was found to have a negative effect. This study highlights the importance of motivation and academic support in promoting the mental well-being of students during the undergraduate thesis process.
Pengembangan Media Edukasi Berbasis Vidio Untuk Peningkatan Kompetensi Kader Posyandu dalam Mendukung Desa Cantik di Lembar Selatan Zulhan Widya Baskara; Istiqamah, Istiqamah; Baskara, Zulhan Widya; Harsyiah, Lisa; Putri, Dina Eka; Andriani, Helmina; Qudsi, Jihadil; Saputri, Intan Editia
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i2.894

Abstract

The integrated health posts (posyandu) in South Lembar Village, West Lombok Regency, face challenges in recording and reporting health data due to the low level of digital literacy among community health cadres, which slows down decision-making for village-level health programs. This community service initiative aims to enhance the competencies of cadres from 13 posyandu through the development of educational media in the form of Microsoft Excel tutorial videos, combined with in-person training sessions and field mentoring.The implementation methods included outreach activities, intensive training, the application of technology through short video tutorials on the TikTok platform, and evaluation using paired t-test analysis. The evaluation results indicated a significant improvement in cadre competencies, with the average pre-test score increasing from 62.00 to 90.00 in the post-test. Furthermore, the paired t-test results (p-value 0.045 < 0.05) demonstrate that the training had a positive impact on cadre skills.This improvement reflects the effectiveness of combining self-directed video learning with direct mentoring in accelerating mastery of basic Excel functions for managing nutrition, immunization, and maternal visit data. Overall, the program succeeded in strengthening the digital reporting system of the posyandu.
Co-Authors Aisya, Hakiki Latifa Amini, Elsa Anggara, Rosa Apriliana, Baiq Nurul Arbyati, Asri Mustika Asmawati, Ismi Fadhilah, Rifdah Fauzi, Meilinda Graha, Syifa Salsabila Satya Harsyiah, Lisa Helmina Andriani Ika Wulandari Istiqamah, Istiqamah Istiqomah, Nisa Ul PURNAMASARI, NUR ASMITA Putri, Devi Karina Qudsi, Jihadil Ramdhani, Triana Putri Sahadatin, Aulia Saputri, Intan Editia Ulfaturrahmi, Ulfaturrahmi Zulhan Widya Baskara