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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.
Sampling Survey Design Presidential Election Quick Count Sumatera Island Wardhani Utami Dewi; Warsono Warsono; Khoirin Nisa
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 1 No. 1 (2023): JANUARY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v1i1.3162

Abstract

The number of TPS on the island of Sumatra is very large, in order to save time and money in conducting surveys, a sampling survey design was created. The purpose of this study is to predict the results of the presidential election on the island of Sumatra. The TPS sample frame was obtained in four stages where each stage used a sampling technique, namely the first and second stages used stratified random sampling, the third stage used systematic random sampling, and the last used clusters. The results obtained are with different TPS sample sizes showing the same results. The victory in the presidential election on the island of Sumatra was won by candidate pair number two. Then compared with the overall TPS population in Sumatra. Based on the population, the second candidate pair is also superior. So it can be concluded that the use of a survey sampling design in this study is appropriate in predicting the results of the elected president election.
Log-Linear Model on Categorical Data of HIV Cases Wardhani Utami Dewi; Warsono Warsono
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 1 No. 2 (2023): JULY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v1i2.5022

Abstract

Categorical data is widely used in social, health, educational and psychological research. A contingency table is a form of presenting this data. One of them is about cases of being infected with the HIV virus. The log-linear model is an alternative for analyzing categorical data. In this study, HIV cases will be analyzed using a log-linear model grouped by gender, age and province. Apart from that, several log-linear models will be formed and the best model will be selected based on the likelihood ratio (G^2) statistical test. According to the results of the analysis and consideration of model complexity, (JK*P, JK*U, P*U) is the best model and fits the data because the p-value = 0.517 is greater than the real level α = 0.05. This means that the interaction between gender, age and province is significant. Studies and explanations about the HIV virus show that individuals between the ages of 25-49 years are more at risk of being infected with the virus. Examined by gender group, women were most infected with the virus, namely 513 people. Apart from that, West Papua is the province with the highest number of HIV infections compared to Maluku and North Maluku
Partial Derivatives of Gompertz, Logistic, and Weibull Non-Linear Growth Models on Confirmed COVID-19 Cases Wardhani Utami Dewi; Warsono
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 2 No. 1 (2024): JANUARY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v2i1.5641

Abstract

. The epidemiological picture of COVID-19 is still unknown, and the number of confirmed cases of COVID-19 varies every day. Researchers have studied COVID-19 a lot, and many of them have used statistical models to estimate the growth of the outbreak. Non-linear statistical models can be used to describe growth behavior, as it varies in time. The aim of this research is to analyze, compare, and find the best model from the Gompertz, Logistic, and Weibull non-linear models. Daily cumulative data on confirmed COVID-19 viruses in Indonesia for 2020-2021 will be used in this research. The results obtained by the Logistic model proved to be very effective in describing the COVID-19 epidemic curve and estimating epidemiological parameters. The Logistic Model provides the best results compared to other growth models applied by Gompertz and Weibull. The R-Square of the logistic model is 0.9990, meaning that the model is able to explain or predict 99.90% of the data and 0.10% is explained by other factors. However, this research cannot explain the turning point of the curve, because there are many factors other than the model. One of them is the nature of the virus carrier from one place to another, then the behavior of the carrier who has not fully implemented the health protocol rules.
Penggunaan ARIMA Box-Jenskin dalam Meramalkan Harga Emas Antam Tahun 2025-2027 di Indonesia Sangidatus Sholiha; Wardhani Utami Dewi
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 2 No. 2 (2024): JULY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v2i2.5958

Abstract

Penelitian ini sangat penting mengingat volatilitas pasar global dan ketidakpastian ekonomi yang semakin meningkat, yang mendorong kebutuhan untuk memiliki alat peramalan yang andal bagi aset-aset lindung nilai seperti emas. Penelitian ini bertujuan untuk meramalkan harga emas Antam di Indonesia untuk periode 2025-2027 menggunakan model ARIMA. Metode kuantitatif dengan desain deret waktu digunakan, dengan data harga emas dari tahun 2021 hingga 2024. Hasil analisis menunjukkan bahwa model ARIMA (1,1,1) adalah yang terbaik dalam meramalkan harga emas Antam, dengan nilai MSE, AIC, dan BIC yang rendah. Peramalan menunjukkan tren kenaikan harga emas dari awal 2025 hingga akhir 2027, mencerminkan kepercayaan pasar terhadap emas sebagai aset lindung nilai yang aman. Kesimpulan dari penelitian ini adalah bahwa peramalan harga emas Antam dapat memberikan wawasan yang penting bagi investor dan pembuat kebijakan untuk merencanakan strategi investasi dan langkah-langkah ekonomi di masa depan. This research is especially important given the increasing global market volatility and economic uncertainty, which drives the need to have reliable forecasting tools for hedging assets such as gold. This research aims to predict the price of Antam gold in Indonesia for the 2025-2027 period using the ARIMA model. A quantitative method with a time series design was used, with gold price data from 2021 to 2024. The analysis results show that the ARIMA (1,1,1) model is the best in estimating Antam's gold price, with MSE, AIC and BIC values ​​that are low . Forecasts show an upward trend in gold prices from the beginning of 2025 to the end of 2027, reflecting market confidence in gold as a safe hedging asset. The conclusion of this research is that Antam's gold price forecasting can provide important insights for investors and policy makers to plan investment strategies and economic steps in the future.
Simulation and Analysis of Gamma Distribution in Assessing Delay Rate Completion of the Curriculum in Schools Reni Permata Sari; Muhammad Ihsan Dacholfany; Amir Khushk; Wardhani Utami Dewi
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 3 No. 1 (2025): JANUARY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v3i1.8158

Abstract

Completion of the curriculum on time is one of the important indicators of the success of the learning process. However, various factors such as material difficulty and external distractions often cause delays in curriculum completion. This study aims to model the delay in curriculum completion using Gamma distribution, with the research location at SMP Negeri 1 Melinting, East Lampung. Primary data is obtained from schools, while secondary data comes from related literature. This study uses Monte Carlo simulation based on Gamma distribution with the parameters of mean delay () and degree of variance (). The results showed an average delay of about 2.4 weeks, with the Gamma distribution matching the actual data based on the Kolmogorov-Smirnov test. These findings suggest that the Gamma distribution can be an effective prediction tool for modeling curriculum completion delays. Managerial recommendations include the preparation of flexible schedules and the use of simulation models for risk mitigation. This research contributes to education managers in designing better time and resource management strategiesCompletion of the curriculum on time is one of the important indicators of the success of the learning process. However, various factors such as material difficulty and external distractions often cause delays in curriculum completion. This study aims to model the delay in curriculum completion using Gamma distribution, with the research location at SMP Negeri 1 Melinting, East Lampung. Primary data is obtained from schools, while secondary data comes from related literature. This study uses Monte Carlo simulation based on Gamma distribution with the parameters of mean delay () and degree of variance (). The results showed an average delay of about 2.4 weeks, with the Gamma distribution matching the actual data based on the Kolmogorov-Smirnov test. These findings suggest that the Gamma distribution can be an effective prediction tool for modeling curriculum completion delays. Managerial recommendations include the preparation of flexible schedules and the use of simulation models for risk mitigation. This research contributes to education managers in designing better time and resource management strategies
Studi Awal Pengembangan dan Validasi Instrumen ketahanan Akademik (Academic Buoyancy) pada Mahasiswa Tingkat Akhir Retno Fajarwati; Wardani Utami Dewi; Binti Isrofin; Muhammad Naim Almarham
Nusantara of Research : Jurnal Hasil-hasil Penelitian Universitas Nusantara PGRI Kediri Vol 13 No 2 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nor.v13i2.28517

Abstract

Undertaking an undergraduate thesis is a demanding academic phase frequently accompanied by stress and anxiety, underscoring the importance of academic buoyancy, the capacity to deal with everyday academic setbacks. This preliminary study aimed to develop an academic buoyancy instrument for final-year students based on the 5C framework (confidence, coordination, control, composure, and commitment) and to conduct an initial psychometric evaluation through expert judgment, item-total correlation analysis, and internal consistency estimation. Following Azwar's scale development stages, an initial pool of 25 Likert-type items was reviewed by two experts; Content validity was rated highly feasible (subject expert 96%, language expert 86%; mean 91%). The instrument was administered to 104 students writing or about to write their theses. Item-total correlations ranged from 0.103 to 0.495; 24 items met the criteria (p < 0.05) and one item (i3) was removed. The final 24 item set yielded a Cronbach's alpha of 0.742, adequate for an early stage instrument and a basis for further validation rather than high-stakes individual decisions.
PENDAMPINGAN PARENTAL TRADITIONAL THAI MASSAGE UNTUK MENINGKATKAN KESADARAN SENSORI PADA KOMUNITAS PEDULI AUTIS LAMPUNG (KOPALA) Efraldo Yudistira; Al Um Aniswatun Khasanah; Sangidatus Soliha; Ira Vahlia; Wardhani Utami Dewi
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 MassageÂ