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All Journal JURNAL EKSAKTA PENDIDIKAN (JEP) Jurnal Cendekia : Jurnal Pendidikan Matematika Eksakta : Berkala Ilmiah Bidang MIPA Pelita Eksakta Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Journal of Mathematics UNP Rangkiang Mathematics Journal JURNAL MUARA PENDIDIKAN
Dewi Murni
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

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The Implementation of Student Admission Based on Zoning in Indonesia : Problems, Challenges, and Solutions Ardi Ardi; Muhammad Danil; Dewi Murni; Nurhizrah Gistituati; Rusdinal Rusdinal; Fauziah Hervi
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 9, No 3 (2023): September
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v9i3.8632

Abstract

This research aims to analyze the problems that arise when implementing zoning as a method of student admission and find possible solutions. This study used the systematic literature review method with a qualitative approach. The data collection method used was documentation, namely examining documents in the form of books, literature, and scientific journals related to the topics written in this journal. Data was collected from reviewing the official website of eric.gov, Sinta, Scopus, and Garuda. Data were analyzed using thematic analysis techniques. The result of the study showed some of the main problems in implementing zoning-based admissions. These include the problem of establishing fair and equitable zoning boundaries, enrollment procedures that often need to be more transparent, the accumulation of students in good schools in the zone, and the need for more awareness and active participation from parents. Several solutions can be considered to address these issues. Such as increased investment in education infrastructure development by the government and the implementation of a strict monitoring system for the admission process based on zoning, and the government also needs to strengthen schools in vulnerable zone areas with various quality and facility improvement programs. This policy will help provide a more inclusive and high-quality education for all students by analyzing and addressing the issues that arise when implementing zoning-based admissions.
PREDIKSI HASIL PERTANDINGAN SEPAK BOLA LIGA PREMIER INGGRIS DENGAN ARTIFICIAL NEURAL NETWORK BACKPROPAGATION Khairul Alim; Dewi Murni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.425

Abstract

This study aims to enhance the accuracy of predicting English Premier League football match outcomes by utilizing a partially updated Artificial Neural Network (ANN) model based on match outcome data from the period 2017 to 2021. In this research, various statistical features such as the number of goals scored in the first half and the number of shots on target were incorporated as inputs to the ANN model. The match outcome data was normalized to improve the model's performance. The ANN model employed multiple hidden layers with ReLU (Rectified Linear Unit) activation functions and was trained using the Backpropagation algorithm. Throughout the training process, the model was periodically updated to reflect changes in match patterns over time. The research findings reveal that the ANN model with partial updates can predict football match outcomes with an accuracy of 77.89% in the final iteration, with a Mean Squared Error (MSE) of 0.769 and a Mean Absolute Error (MAE) of 0.689. Additionally, the prediction results are visualized in the form of a distribution graph comparing actual match outcomes with the predictions from the final iteration, providing a visual representation of the model's performance. This study makes a significant contribution to the development of modeling techniques for forecasting football match outcomes and underscores the importance of partial updates in adapting to changes in match patterns over time, offering potential for improvements in football match analysis and prediction in the future
ANALISIS KEPUTUSAN MENGGUNAKAN METODE CUT OFF POINT DAN FUZZY SIMPLE ADDITIVE WEIGHTING DALAM MENENTUKAN JENIS LAPTOPTERBAIK PADA MAHASISWA MATEMATIKA FMIPA UNIVERSITAS NEGERI PADANG Avea Kristerima Gulo; Dewi Murni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.451

Abstract

The emergence of various types and brands in the laptop industry poses problems for consumers in determining the best type of laptop. To assist consumers in determining the best type of laptop, a Decision Support System is needed. This research is an applied research. The data used is primary data obtained from the distribution of questionnaires through Google Form to students of the Department of Mathematics UNP batch of 2020, 2021, 2022. The variables used are Brand, Operating System, Processor, Solid State Drive, Random Access Memory, Battery, Screen Size, Laptop Weight, Color, Price. The methods used in this study are the Cut Off Point Method and the Simple Additive Weighting method. Based on the results of the problem analysis in determining the best laptop type using the Cut Off Point and Fuzzy Simple Additive Weighting methods, it shows that the Asus zenBook Pro laptop type is recommended as the best type of laptop with a preference value of 0.87
ANALISIS PENGARUH MOTIVASI BELAJAR TERHADAP PEMAHAMAN KONSEP MATEMATIS PESERTA DIDIK Mirna Mirna; Mudjiran Mudjiran; Rohadatul Aysi; Dewi Murni
Jurnal Muara Pendidikan Vol. 8 No. 1 (2023): Jurnal Muara Pendidikan, Vol 8 No 1, Juni 2023
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/mp.v8i1.1054

Abstract

Understanding the concept is one of the fundamental goals in learning mathematics. This study aims to determine the effect of learning motivation on students' understanding of mathematical concepts in class XI MIPA at a public high school in Pariaman. The method in this research is descriptive qualitative. Sampling was done by simple random sampling technique. The research instruments used were motivational questionnaires and tests of understanding mathematical concepts that have been tested valid and reliable. The results of the study, learning motivation is in the medium and high categories, affecting the level of understanding of students' mathematical concepts.
PENERAPAN ANALISIS REGRESI LOGISTIK BINER PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN MAHASISWA BERBELANJA ONLINE DI TIKTOK Putji Alfayulanda; Dewi Murni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.547

Abstract

TikTok is a widely popular application among people of all age groups, from the young to the elderly. Students frequently utilize TikTok as a platform for online shopping, and there are numerous factors influencing their decisions. The research aims to construct a binary logistic regression equation model to determine the significant factors. The study population consists of all students from the Department of Mathematics who enrolled in 2022. The research sample comprises 71 respondents. The dependent variable (Y) in this study is the decision to shop on TikTok, and the independent variables (X) are trust (X1), service quality (X2), product diversity (X3), promotions (X4), security (X5), and price (X6). The research results indicate a binary logistic regression model as follows: π(x)=e^((13.012-1.679X_(2.1)-1.663X_(5.4)))/(1+e^((13.012-1.679X_(2.1)-1.663X_(5.4))) ) , where the service quality variable (X2) and security (X5) significantly influences the decision to shop online on TikTok
Co-Authors Abdullah Husein Ardi Ardi Armiati Armiati Artina Puspita Avea Kristerima Gulo Bayu Kurnia Putra Deska Warita Diah Rahmahadi Thamrin Diego Armando Piero Diego Armando Piero Dwi Shinta Kumala Ningsih Elfiani Sarian Bur Envi Sari Oktaviani Fanesa Larasati Fariz Rivalno Fatimah Putri Johari Fauziah Hervi Fiona Melta Fira Septiyani Ibrahim Helma Helma Helma Helma Hendra Syarifuddin Ihsan Kamil Irfan Syauqi Julian Heru Saputra Khairul Alim Liska Andani Liska Andani Mamad Hardiyanto Media Rosha Meira Parma Dewi Mirna Mirna Moni Sarisa Mudjiran Mudjiran Mudjiran Mudjiran Muhammad Danil Muhammad Subhan Nada Atifah Nadia Liaf Putri Nilam Purnama Sari Nurhizrah Gistituati Putji Alfayulanda Rahmatika Rahmatika Rara Sandhy Winanda Rimpi Oktaria Riry Sriningsih Robi Kurniawan Rohadatul Aysi Rusdinal Rusdinal Sarah Hardiana sari maryani setia ningsih m Shintia Pratiwi Solly Aryza Suherman Suherman Ulfa Zuliantika ulfah hanum Wanari Intan Dwi Putri Yeni Feriza Yenni Kurniawati Yerizon Yerizon Yerizon Yerizon