Article Per Year (5 Year)
p-Index From 2021 - 2026
2.57
P-Index
This Author published in this journals
All Journal Jurnal Inovasi Teknologi Pendidikan AKSIOMA: Jurnal Program Studi Pendidikan Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Enthusiastic : International Journal of Applied Statistics and Data Science Jurnal Mahasiswa Ilmu Komputer Sciencestatistics: Journal of Statistics, Probability, and Its Application Journal of Mathematics, Computation and Statistics (JMATHCOS)
Wardhani Utami Dewi
Universitas Muhammadiyah Metro
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Physics

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Analysis of Food Security Factors in Indonesia using SEM-GSCA with the Alternating Least Squares Method Dewi, Wardhani Utami; Nisa, Khoirin; Usman, Mustofa
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i2.20378

Abstract

An economic recession, characterized by prolonged economic decline, increased unemployment, and decreased spending, is projected to occur globally in 2023, potentially impacting production capacity within the food sector. Experts have identified various contributing factors such as shifts in global trade dynamics and geopolitical tensions, highlighting the need to understand the broader global economic context leading to this recession. To achieve this goal, in this research SEM is used to analyze the relationship between variables that influence food security. Furthermore, GSCA is used to handle complex structural models and non-normal data distribution. Special considerations include the use of ALS methods to estimate parameters effectively and consistently. The findings of this research are the important role of availability, access and utilization in shaping food security in Indonesia, with a contribution of 98% of the overall influence shown by the model. These insights help governments design targeted interventions to improve food security, especially amidst challenges posed by a potential global economic downturn. Implementing strategies to increase availability, increase access and optimize utilization is very important in maintaining food security amidst economic uncertainty.
Confirmatory Factor Analysis to Reduce the Knowledge and Economic Dimensions of the Behavior of Cerebral Palsy Parents Khasanah, Al Um Aniswatun; Yuliana, Sri; Ikrom, Dhofirul Fadhil Dzil; Sholiha, Sangidatus; Dewi, Wardhani Utami
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 3 (2024): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i3.22952

Abstract

This research is important to understand the behavior of parents of Cerebral Palsy (CP) children by reducing the complexity in understanding knowledge and economic dimensions, thus providing a structured approach to identifying factors that influence the psychology of children with CP. This study aimed to identify and reduce the dimensions that influence the behavior of parents of children with CFA.This study aimed to reduce the socio-economic dimensions and knowledge of the behavior of parents of Cerebral Palsy (CP) children using CFA. A quantitative approach with a cross-sectional design was used in this study to comprehensively examine the behavior of parents of children with CP. Purposive sampling was used to select 200 participants from various backgrounds. The instrument used was a 28-item questionnaire which was distributed online to collect data. The questionnaire has gone through rigorous testing, including CFA, determinant KMO test, Bartlett test PCA, and grouping of variables based on identified factors.Research methods , a quantitative approach with cross-sectional design, and purposive sampling were used to select 200 parents of children with CP from various backgrounds. The instrument in the form of a questionnaire with 28 statement items was distributed online. Data analysis was carried out using CFA, including the determinant test, Kaiser-Meyer-Olkin (KMO) test, Bartlett test, Principal Components Analysis (PCA), and grouping variables based on factors. Research in Lampung shows that the number of boys with CP is slightly higher, with the majority aged 1-5 years. Factor analysis identified three main dimensions: parental knowledge about CP, family economic situation, and parental behavior. Better knowledge and a stable economic situation are positively correlated with better parental behavior in caring for children with CP. Many parents experience high levels of stress due to the physical, emotional, and financial burden of caring for a child with CP. The research conclusion shows that the 28 statement items were successfully reduced to three main dimensions (knowledge, economics, and behavior) which have a significant relationship in the care of children with CP. These findings suggest the need for interventions to increase parental knowledge about CP and family economic stability to increase parental participation in child care.Findings the sex distribution of children with cerebral palsy in Lampung showed a slight excess in the number of boys, with the majority of children being in the age range of 1-5 years. Factor analysis identified three main dimensions: parental knowledge of CP, family economic situation, and parental behavior, where better knowledge and stable economic situation positively correlated with better parental behavior in caring for children with CP. Many parents experience high levels of stress in caring for a child with CP because of the physical, emotional, and financial burden that the condition brings. In conclusion, the 28 items of the statement are reduced to 3 dimensions or factors, including knowledge, economics, and behavior. Each dimension has a relationship with each other significantly to the behavior of parents of CP children.
PENDAMPINGAN PARENTAL TRADITIONAL THAI MASSAGE UNTUK MENINGKATKAN KESADARAN SENSORI PADA KOMUNITAS PEDULI AUTIS LAMPUNG (KOPALA) Yudistira, Efraldo; Khasanah, Al Um Aniswatun; Soliha, Sangidatus; Vahlia, Ira; Dewi, Wardhani Utami
SINAR SANG SURYA Vol 9, No 2 (2025): Agustus 2025
Publisher : UM Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sss.v9i2.4090

Abstract

Pengabdian ini bertujuan untuk memberikan pendampingan Parental Thai Massage. permasalahan yang diterapkan dalam komunitas ini adalah Parental Traditional Thai Massage, yang bertujuan untuk mengurangi stres, meningkatkan relaksasi, serta meningkatkan kesadaran sensorik pada anak autisme.Parental Traditional Thai Massage ini memberikan stimulasi pada sistem saraf pusat, membantu meredakan ketegangan otot, dan menciptakan efek relaksasi yang bermanfaat bagi anak. Metode pengabdian ini yaitu pengumpulan data, perencanaan, pelaksanaan dan evaluasi. Hasil pengabdian menunjukkan mitra sangat antusias dalam mengikuti pendampingan pendampingan Parental Thai Massage. Sebelum pendampingan dilakukan, hampir secara keseluruhan mitra belum mengetahui manfaat pendampingan Parental Thai Massage untuk meningkatkan kesadaran sensoris pada anak autis. Setelah diberikan pendampingan Parental Thai Massage 90% anggota KOPALA memahami dalam pelaksanaan teknik Parental Thai Massage. Dalam kegiatan tersebut, KOPALA sangat antusias dalam mengikuti pendampingan pembuatan Parental Thai Massage. Sebelum pendampingan dilakukan, hampir secara keseluruhan KOPALA belum mengetahui bahwasannya Parental Thai Massage memberikan efek stimulasi untuk meningkatkan kesadaran sensoris. Setelah diberikan pendampingan teknik Parental Thai Massage 90% orang tua KOPALA memahami teknik Parental Thai Massage 
Log-Linear Analysis of the Association among Hematological Variables in Dengue Hemorrhagic Fever Cases Irfan, Miftahul; Hayati, Ma’rufah; Madonna, Nora; Dewi, Wardhani Utami
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 5 Issue 2, October 2025
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol5.iss2.art6

Abstract

Health data are often analyzed in their continuous form through approaches such as linear, logistic, or survival models. In this study, hematological variables were dichotomized based on established clinical cut-offs to enable log-linear analysis of associations among categorical variables, acknowledging the potential loss of information from this transformation. A log-linear model was applied to evaluate independence, dependence, and interaction patterns among leukocyte, hemoglobin, and hematocrit categories in a dengue hemorrhagic fever (DHF) patient dataset. Previous analyses using survival models identified these variables as factors associated with recovery rates; however, these models did not capture their interaction structure. Log-linear analysis was therefore employed to examine these associations more comprehensively. The best-fitting model was identified as , which included two-factor interactions between leukocyte–hematocrit and hemoglobin–hematocrit. This model demonstrated a good fit (Pearson , , ), including a three-factor interaction resulted in a saturated model (= 0) and did not improve model performance. These findings highlight significant interaction patterns among hematological variables in DHF patients, providing a more detailed understanding of their joint associations.
An OBE-based e-module integrated with prophetic values: Enhancing statistical understanding, engagement, and character development Vahlia, Ira; Sholiha, Sangidatus; Suprihatin, Siti; Utami Dewi, Wardhani
Jurnal Inovasi Teknologi Pendidikan Vol. 13 No. 1 (2026): March
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v13i1.90807

Abstract

Many students struggle to understand abstract concepts in Statistics because of limited contextual and interactive learning resources that connect theory to practice. Moreover, there is a lack of e-modules integrating prophetic values to support the vision of Universitas Muhammadiyah Metro. However, existing studies have not sufficiently integrated OBE with prophetic values in digital learning media for statistics, indicating a clear research gap. This study aims to develop an OBE-based e-module integrated with prophetic values for Statistics courses. The research employed an R&D method using the ADDIE model (analysis, design, development, implementation, and evaluation). The subjects were students of the Economic Education Study Program. Data were collected through interviews, expert validation and student response questionnaires, and analysed using descriptive quantitative and qualitative techniques. The results show that the e-module is highly valid (91.6%) and very practical (mean score = 4.3/5). Learning outcomes improved from an average of 62.5 to 83.7 (p < 0.05), indicating positive learning gains. This study provides contextual and methodological contributions by integrating OBE principles with prophetic values in digital learning design, and theoretical contributions in linking cognitive and character development in statistics learning. Future research should involve larger samples and longer implementation periods to assess affective outcomes better.
Structural Equation Modeling Based Partial Least Square of Student Misconceptions in Estimating Probability Distribution Parameters Wardhani Utami Dewi; Tri Cahyo Wahyudi; Miftahul Irfan
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 3 (2026): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i3.38398

Abstract

Students' misconceptions in estimating the parameters of probability distribution are still an important problem in learning statistics in universities. Most previous studies have examined partial misconceptions from cognitive aspects, so the structural relationship between concept understanding, learning experience, learning motivation, and problem-solving skills in explaining misconceptions has not been widely analyzed in an integrated manner. This study aims to develop and validate a structural model that explains the factors that influence student misconceptions in estimating probability distribution parameters using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. This study uses an explanatory quantitative design involving 200 students who have studied probability distribution and parameter estimation in several universities in Lampung Province. Data was collected through a Likert scale questionnaire that measured five latent constructs, namely concept comprehension, learning experience, learning motivation, problem-solving skills, and student misconceptions. The analysis was carried out through the evaluation of the measurement model (loading factor, composite reliability, and average variance extracted), structural model testing using the bootstrapping technique, and evaluation of the overall suitability of the model. The results showed that concept comprehension (β = 0.74) and learning experience (β = 0.82) had a significant effect on problem-solving skills. Problem-solving skills further affect learning motivation (β = 1.92), while learning motivation affects the level of student misconception (β = 0.67). The developed model was able to explain 65% of the variation in problem-solving skills and 88% of the variation in student misconceptions. This research contributes in the form of a SEM-PLS model that integrates cognitive and affective factors in explaining the emergence of statistical misconceptions, as well as providing an empirical basis for the development of more effective statistical learning strategies to reduce student misconceptions.
Co-Authors Al Um Aniswatun Khasanah Amir Khushk Bota Muhammad Akbar Hayati MT, Ma’rufah Ikrom, Dhofirul Fadhil Dzil Ira Vahlia Irfan, Miftahul Khasanah, Al Um Aniswatun Khoirin Nisa Khoirin Nisa M. Ihsan Dacholfany Madonna, Nora Miftahul Irfan Mustofa Usman Mustofa Usman Nego Linuhung Sari, Reni Permata Sholiha, Sangidatus Siti Suprihatin Soliha, Sangidatus Sri Yuliana Tri Cahyo Wahyudi Vahia, Ira Warsono Warsono Warsono Yudistira, Efraldo