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All Journal Empowerment : Jurnal Pengabdian Masyarakat Indonesian Journal of Economics and Management Jurnal Riset Statistika Bandung Conference Series: Statistics Jurnal Statistika dan Komputasi (STATKOM) Indonesian Journal of Statistics and Its Applications
Marizsa Herlina
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Modeling the Satisfaction of Data Literacy Online Training for High School Teachers Using PLS SEM Herlina, Marizsa; Rifai, Nur Azizah Komara; Sirodj, Dwi Agustin Nurani
Jurnal Statistika dan Komputasi Vol. 4 No. 1 (2025): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v4i1.4429

Abstract

Background: The gap between before and after the pandemic is incredibly noticeable, especially in education. It mainly changes how schools operate their teaching and learning activities from offline to online. Indonesia must also implement online learning. The basic needs for data literacy in administration are strongly needed, such as inputting data for students' attendance, scores, and many more. Teachers need to improve their data literacy skills to help them evaluate and design new content structures for online teaching to meet students' required satisfaction. Therefore, the teachers’ training program in data literacy always needs to be updated. Objective: This study aims to determine the factors that influence teacher satisfaction in data literacy online training programs Methods: This study employs partial least square structural equation modelling (PLS-SEM) to analyze the factors influencing teacher satisfaction in online data literacy training programs for high school teachers. Results: The results show that the instructor's guidance, support, module content, and experience positively influence learner satisfaction in online data literacy training. The PLS-SEM can explain 62.53% of learner satisfaction Conclusion: Online training providers can consider these variables their primary focus when providing high-quality online training, especially in data literacy. The instructor guidance and support include instructor expertise, the assistance provided, and many more, and the module content and experience include a suitable syllabus for the learner and the ease of use of the learning system.
Penerapan Autoregressive Integrated Moving Average untuk Prediksi Inflasi Kabupaten Jember Niken Abellia; Marizsa Herlina
Jurnal Riset Statistika Volume 5, No. 1, Juli 2025, Jurnal Riset Statistika (JRS)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrs.v5i1.6428

Abstract

Abstract. Inflation is an economic phenomenon that causes a general and sustained increase in the prices of goods and services. One of the factors influencing inflation is the amount of money circulating in the economy. This study aims to forecast the inflation rate in Jember Regency using the Autoregressive Integrated Moving Average (ARIMA) model. The data used in this research are inflation data from January 2018 to July 2022 obtained from the Central Statistics Agency (BPS). The analysis results show that the ARIMA(0,0,1) model performs better in forecasting inflation compared to ARIMA(1,0,0), with a Mean Square (MS) value of 0.095562. The forecast for inflation from August to October 2022 indicates a gradual increase in inflation from 0.213897% in August to 0.258068% in October 2022. The findings of this study provide insights for policymakers to anticipate inflation fluctuations in Jember Regency. Abstrak. Inflasi merupakan fenomena ekonomi yang menyebabkan kenaikan harga barang dan jasa secara umum dan berkelanjutan. Salah satu faktor yang mempengaruhi inflasi adalah jumlah uang yang beredar. Penelitian ini bertujuan untuk meramalkan tingkat inflasi Kabupaten Jember menggunakan model Autoregressive Integrated Moving Average (ARIMA). Data yang digunakan adalah data inflasi Kabupaten Jember dari Januari 2018 hingga Juli 2022 yang diperoleh dari Badan Pusat Statistik (BPS). Hasil analisis menunjukkan bahwa model ARIMA(0,0,1) lebih baik dalam meramalkan inflasi dibandingkan dengan ARIMA(1,0,0), dengan nilai Mean Square (MS) sebesar 0,095562. Peramalan inflasi untuk Agustus hingga Oktober 2022 menunjukkan bahwa inflasi diperkirakan akan meningkat secara bertahap dari 0,213897% pada Agustus menjadi 0,258068% pada Oktober 2022. Hasil penelitian ini dapat memberikan wawasan bagi pengambil kebijakan dalam mengantisipasi fluktuasi inflasi di Kabupaten Jember.
Co-Authors 10060118104, Muhammad Reinaldy Tifasi 10060119001, Vizky Andharista Suhendar 10060119033, Salma Nur Fauziah 10060119044, Aldy Virgiawan 10060119068, Nur Inayah Aldhelia 10060119082, Rhanie Cynthia Ekaputri 10060119113, Fitria Nurjanah Ananda Apsari Ainun Nissa Arina Pramudita ASEP SAEFUDDIN Didis Dwiputri Sundara Dzakiir, Ammaar Edwiga Antirad Erdanisa Aghnia Ilmani Farhan Dzul Fiqar Faustina Alifah Mardhiyah Gita Yantika Sari Hilmi Azzam Robbani Muhamad Fathur Ramdani Niken Abellia Nisa Athira Putri Zahiratul Muslimah Ratna Agustina, Ratna Regitha Gladiul Krisnasukma Rifai, Nur Azizah Komara Rifqi Naufaldi Putra Pratama Rizki Arya Ramadhan Shastia Diba Rahmawanti Sirodj, Dwi Agustin Nurani Sugiono, Kabung Wian Fadila Wian Fadila Yani Nurhadryani