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All Journal E-Jurnal Matematika Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI SAINSMAT Chemica: Jurnal Ilmiah Kimia dan Pendidikan Kimia Journal of Marine Research JMathCos (Journal of Mathematics, Computation, and Statistics) Jurnal Environmental Science Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) BAREKENG: Jurnal Ilmu Matematika dan Terapan Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang PENGABDI: Jurnal Hasil Pengabdian Masyarakat Jurnal Dedikasi Journal of Mathematics: Theory and Applications Chemistry Education Review Journal of Marine Research Seminar Nasional Pengabdian Kepada Masyarakat SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam INOVASI: Jurnal Hasil Pengabdian Masyarakat Indonesian Journal of Fundamental Sciences Seminar Nasional Hasil Penelitian LP2M UNM Ininnawa: Jurnal Pengabdian Masyarakat
Wahidah Sanusi
Jurusan Matematika FMIPA Universitas Negeri Makassar, 90224
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Journal : Media Statistika

 1 
STRUCTURAL EQUATION MODELING FOR ANALYZING THE TECHNOLOGY ACCEPTANCE MODEL OF STUDENTS IN ONLINE TEACHING DURING THE COVID-19 PANDEMIC Suwardi Annas; Ruliana Ruliana; Wahidah Sanusi
MEDIA STATISTIKA Vol 15, No 1 (2022): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.15.1.104-115

Abstract

Online teaching can be a solution in the learning process during the pandemic to stop the spreading of the Covid-19 infection. Universitas Negeri Makassar (UNM) as an educational institution provided a Learning Management System (LMS) to support the online teaching and learning process with the platform name SYAM-OK. In this research, we examine the behavioral model of a student's acceptance of the use of an information system SYAM-OK in online teaching. 120 students in the sample used online teaching fully during the pandemic. The data was obtained from an online questionnaire using a google form whose contents were based on Technology Acceptance Model (TAM).  The variable of TAM consists of Perceived Ease of Use, Perceived Usefulness, Attitude Towards, Behavioral Intention, and Actual Use. The Structural Equation Modeling (SEM) PLS method was used in this research for modeling the relationship between TAM variables. Based on the results of the SEM we obtained that Perceived Usefulness significantly affects the Attitude Towards and Attitude Towards significantly affects the behavioral intention. By using the bootstrapping and T statistics, we conclude that SEM has identified the significant effects between variables of TAM. 
ESTIMATING AND FORECASTING COVID-19 CASES IN SULAWESI ISLAND USING GENERALIZED SPACE-TIME AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL Sukarna Sukarna; Nurul Fadilah Syahrul; Wahidah Sanusi; Aswi Aswi; Muhammad Abdy; Irwan Irwan
MEDIA STATISTIKA Vol 15, No 2 (2022): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.15.2.186-197

Abstract

A range of spatio-temporal models has been used to model Covid-19 cases. However, there is only a small amount of literature on the analysis of estimating and forecasting Covid-19 cases using the Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) model. This model is a development of the GSTARMA model which has non-stationary data. This paper aims to estimate and forecast the daily number of Covid-19 cases in Sulawesi Island using GSTARIMA models. We compared two models namely GSTARI and GSTIMA considering the root mean square error (RMSE). Data on a daily number of Covid-19 cases (from April 10, 2020, to May 07, 2021) were used. The location weight used is the inverse distance weight based on the distance between airports in the capital cities of each province. The appropriate models obtained based on the data are the GSTARIMA (1;0;1;1) model and the GSTARIMA (1;1;1;0) model. The results showed that the forecast for the number of new Covid-19 cases is accurate and reliable only for the short term.
Co-Authors A. Armansyah AHMAD FAUZAN RIDHA SUJIONO Ahmad Yani Ahmad Zaki Ahmad Zaki Ahmad Zaky Alimuddin Tampa Amal Amal Amal Amal Amal Arfan, Amal Amni Rasyidah Andi Abidah Andi Diki Nurbaldatun Islam Anggi Ananda Putri Annas, Suwardi Asriani Arsita Asni Aswi Aswi Beby Fitriani Besse Nur Afni Bohari, Nurul Aulia Dwi Wahyuliani Elma Selviana Darwis Febriyanto Saman Fitriyani Fitriyani H. Hasriani Hafilah Hardiono Hasan Basri Hasnawiyah Hasnawiyah Hasnawiyah, Hasnawiyah Hikma Aulia Hisyam Ihsan Irham Aryandi Basir Irma Aswani Ahmad, Irma Aswani Irwan Irwan Irwan Irwan Irwan Irwan Irwan Kahvi Nurani Katrina Pareallo Maya Sari Wahyuni Mudinillah, Adam Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Arif Tiro, Muhammad Arif Muhammad Danial Muhammad Danial Muhammad Danial Muhammad Farhan Muhammad Isbar Pratama Muhammad Rakib Muhammad Rakib Muhammad Syahrir Mukarram, Trys Musliati Musliati Mustati'atul Waidah Maksum N Nurfadillah N Nurwakia Nasrullah Nasrullah Nirwana, St. Risma Ayu Nur Anny S Taufieq Nur Anny S. Taufieq Nur Anny S. Taufieq Nur Anny S. Taufieq Nur Anny S. Taufieq Nur Fajri Setiawan Nur Hikmayanti Syam Nur Khaerati Rustan Nur Ridiawati Nurul Aulia Bohari Nurul Fadilah Syahrul Pince Salempa Rabiatul Adawiyah Rahmat Setiawan Rahmat Syam Rahmat Syam Rahmawati Rahmawati Risna Ulfadwiyanti Ruliana Rustan, Nur Khaerati S Sukmawati Sahlan Sidjara Saiful Bahri Serly Diliyanti Restu Ningsih Setiawan, Nur Fajri Sidjara, Sahlan Sudarmin Sudarmin Sukarna Sukarna Sulaiman Sulaiman Syafruddin Side Taty Sulastri Taty Sulastri Trys Mukarram Utami Priono Wahyuliani, Dwi Wahyuni, Maya Sari Wulandari, Natalia Puspita