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Journal : Jurnal Natural

Application of PLS SEM in Evaluations of Mathematics Statistics II Course Online Learning IZZATI RAHMI; MAHDHIVAN SYAFWAN; HAZMIRA YOZZA; IQBAL HAMONANGAN; FRILIANDA WULANDARI
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1763.517 KB) | DOI: 10.24815/jn.v22i1.23065

Abstract

The impact of the COVID-19 pandemic on the education sector includes the learning system that cannot be conducted directly (offline). With the change in the learning system, it is necessary to evaluate whether the implemented online learning system can run well and provide results as expected. The level of student satisfaction is one of the factors that can be used to evaluate online learning. This study analyzed the student satisfaction level with online learning for the Mathematics Statistics II course at the Mathematics Department of Andalas University, related to service quality by lecture and the level of student understanding. Data analysis was conducted using causal modeling, namely Partial Least Square Structural Equations Modeling (PLS-SEM). By using The PLS-SEM, it is known that there is a significant and positive effect of service quality on student satisfaction in the Mathematics Statistics II course. In addition, the service quality also affects the understanding level significantly and positively. However, the level of student understanding has no significant effect on the level of student satisfaction. The coefficient of determination (R2) from the structural model of student satisfaction toward the Mathematics Statistics II course online learning is 0.774. This value indicates that the resulting model is good because it has relatively high accuracy.
The Classification of “Program Sembako” recipients in Payobasung West Sumatra based on the K-nearest neighbors classifier HAZMIRA YOZZA; NINDI MAULA AZIZAH; LYRA YULIANTI; IZZATI RAHMI
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.29738

Abstract

The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using the KNN classifier and (b) to determine the optimal number of nearest neighbors used in the classification process. The measure of proximity between objects used is the Gower dissimilarity coefficient. This research used primary data consisting of 175 households collected purposively in a survey conducted on all households in Payobasung.  The optimal K value is determined by implementing a 5-fold cross-validation procedure. The result showed that the best classification process is when K = 3 nearest neighbors are used since it produces the highest accuracy coefficient and Mattews correlation coefficient (MCC). Therefore, for further work, in deciding the eligibility of a household to receive the Sembako Program in Payobasung, KNN can be used by considering its 3 nearest neighbors
Application of PLS SEM in Evaluations of Mathematics Statistics II Course Online Learning IZZATI RAHMI; MAHDHIVAN SYAFWAN; HAZMIRA YOZZA; IQBAL HAMONANGAN; FRILIANDA WULANDARI
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v22i1.23065

Abstract

The impact of the COVID-19 pandemic on the education sector includes the learning system that cannot be conducted directly (offline). With the change in the learning system, it is necessary to evaluate whether the implemented online learning system can run well and provide results as expected. The level of student satisfaction is one of the factors that can be used to evaluate online learning. This study analyzed the student satisfaction level with online learning for the Mathematics Statistics II course at the Mathematics Department of Andalas University, related to service quality by lecture and the level of student understanding. Data analysis was conducted using causal modeling, namely Partial Least Square Structural Equations Modeling (PLS-SEM). By using The PLS-SEM, it is known that there is a significant and positive effect of service quality on student satisfaction in the Mathematics Statistics II course. In addition, the service quality also affects the understanding level significantly and positively. However, the level of student understanding has no significant effect on the level of student satisfaction. The coefficient of determination (R2) from the structural model of student satisfaction toward the Mathematics Statistics II course online learning is 0.774. This value indicates that the resulting model is good because it has relatively high accuracy.
The Classification of “Program Sembako” recipients in Payobasung West Sumatra based on the K-nearest neighbors classifier HAZMIRA YOZZA; NINDI MAULA AZIZAH; LYRA YULIANTI; IZZATI RAHMI
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.29738

Abstract

The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using the KNN classifier and (b) to determine the optimal number of nearest neighbors used in the classification process. The measure of proximity between objects used is the Gower dissimilarity coefficient. This research used primary data consisting of 175 households collected purposively in a survey conducted on all households in Payobasung.  The optimal K value is determined by implementing a 5-fold cross-validation procedure. The result showed that the best classification process is when K = 3 nearest neighbors are used since it produces the highest accuracy coefficient and Mattews correlation coefficient (MCC). Therefore, for further work, in deciding the eligibility of a household to receive the Sembako Program in Payobasung, KNN can be used by considering its 3 nearest neighbors
Co-Authors Admi Nazra Afrimayani Afrimayani Afrimayani, Afrimayani Agni Horti Maharani Ainun Mardiah Siregar Aldi Mukhlis AMI LESTARI ANGGUN CITRA DELIMA Arie Hariady Arifin Arrival Rince Putri Asdi, Yudiantri ATIKAH RAHMAH PUTRI Aulia Annisya AYU ALIFAH Azzikra Febriyanti Bahri, Susila Baqi, Ahmad Iqbal Budi Rudianto Budi Suhardjo Catrin Muharisa Cindyana Aldrifisia Citra Ariadini Chairunnisa DEBBY ARMETIYANA MARGARETTA Des Welyyanti Deva, Athifa Salsabila Devianto, Dodi DHIYA ANISAH YUNARDI Dian Yosefanny Dina Maulidya Dwi Malahayati Efendi Efendi Efendi, Riswan Elita Rahma Putri ELSA FEBRIANI Evan Ilham Zulheri Ewi Jupit Fadila Aulia FANNY PRIMANDA PITER Fatrika Fahmi Fauzana Hilma FAUZANA LAILATURRAHMI Firdawati, Firdawati Fittri Rahmi Yetti FRILIANDA WULANDARI HABIBATUS SALMI Haripamyu Haripamyu Helmi, Monika Rianti HIDAYATULLAH, M.PIO Husna Radhiatul Ikhlas Pratama Sandi Indah Pratiwi IQBAL HAMONANGAN Iswahyuli . Izzati Rahmi HG Izzati Rahmi HG Jamhari Jamhari Jenizon Jenizon Juliana . Laila Rahmi Lara Mahlindiani Lita Wulandari Aeli LOLANDA SYAMDENA M.PIO HIDAYATULLAH Maiyastri Maiyastri, Maiyastri Marisa . Mawanda Almuhayar Mega Susanti MEILINA DINIARI MIFTAHUL JANNAH HB mila rosa Mira Serma Teti MUHAMMAD HAFANDRY Mutia Yollanda Mutiara Laily Ramadhany Nadia Cindi Eka Putri Nadia Husna Nadia Utika Nadiah Ramadhani Nadira Sri Belinda Nadya Putri Alisya NADYA PUTRI ALISYA Nadya Risna Putri Narwen Narwen NASTHASYA, NOVALISA Nelfa Sari Nelli Hindriani NINDI MAULA AZIZAH Nova Melisty Nova Noliza Bakar NOVALISA NASTHASYA Noverina Alfiany Nur Elvi Sahra Nur Fauzana Nurmaylina Zaja Nurul Saadah Nurwijayanti Olivia Atinri Olivia Prima Dini Puteri Bulqis Azhari Rachmi Dwinta Sari Radhiatul Husna Rahmat Fajri Rahmat Fajri RAHMI HG, IZZATI Rahmy Hafifatul Auliya Rahyu Silvia Ratih Febi Ramadhani Rescha, Ratna Vrima Resti Nanda Yani RESTY OKTAVIANI Ridho Pascal Willmar Rini Eka Putri Riri Lestari Samat, Nor Azah Sarifah Aulia Seno Pratama SHINTA MUTIA KARNEVA Shinta Wulandari SILVIA YUNANDA Siska Zayendra Siti Juriah Siti Rani Yelfera SRI DELIMAWATI Stepani Burni Safitri Suci Sari Wahyuni Syafwan, Mahdhivan Tessy Oktavia Mukhti Tiara Shofi Edriani Tomi Desra Yuliandi UMMU BUTSAINATUL EL KHAIR Vira Agusta WAHYU ELFIYANA PUTRI Wikasanti Dwi Rahayu Willmar, Ridho Pascal Winalia Agwil WINDA LIDYA Winda Oktari WULANDARI, FRILIANDA Wulandari, Yana Wuri Wulandari Yanita Yanita Yanuar, Ferra Yessi Oktreza Yulianti, Lyra Yuliza Diana Putri Zetra, Aidinil Zikalta Putra Zulakmal, Zulakmal