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All Journal Prima: Jurnal Pendidikan Matematika Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Proceeding of International Conference on Multidisciplinary Research
elmanani simamora
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Engineering Mathematics Public Health

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DEVELOPMENT OF GUIDED DISCOVERY-BASED LEARNING TOOLS USING HYPERCONTENT TO IMPROVE STUDENTS' MATHEMATICAL CRITICAL THINKING ABILITY Maulidia Wanahari; Zul Amry; elmanani simamora
Prima: Jurnal Pendidikan Matematika Vol 6, No 2 (2022): Prima : Jurnal Pendidikan Matematika
Publisher : FKIP Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/prima.v6i2.5514

Abstract

Online learning (in the network) is learning online through specified media. This study aims to: 1) describe how the level of validity, practicality and effectiveness of guided discovery-based learning tools using Hypercontent to improve critical mathematical thinking skills at SMAN 1 Tambangan; 2) describe the improvement of students' mathematical critical thinking skills using guided discovery-based learning tools using Hypercontent at SMAN 1 Tambangan The method used in this research is development research. The subjects in this study were the 11th grade students SMAN 1 Tambangan in the academic year 2021/2022. The results showed that 1) Guided discovery-based learning tools using hypercontent to improve students' mathematical critical thinking skills that were developed already met the criteria of being valid, practical and effective; 2) The improvement of mathematical critical thinking skills using guided discovery-based learning tools using hypercontent that has been developed seen from the N-gain value in the first trial of 0.33 increased to 0.4 in the second trial, meaning that it is in the "medium" category.
Computational Thinking Ability in Learning in Terms of Learning Style and Gender Netti Kariani Mendrofa; Edi Syahputra; Elmanani Simamora
Proceeding of International Conference on Multidisciplinary Research Vol. 6 No. 2 (2024): ICMR
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/picmr.v6i2.1232

Abstract

This study aims to analyze students' computational thinking ability based on learning style and gender in basic mathematics courses. The research sample was students of the mathematics education study program, FKIP, Nias University in the first semester of the 2023/2024 academic year. This research is a quantitative descriptive research. This type of data analysis technique uses quantitative data analysis. The instruments used are learning style questionnaire and computational thinking ability test. The results showed that learning style and gender have a significant influence on the average score of students' computational ability.
PEMODELAN FAKTOR-FAKTOR PENYEBAB KEMISKINAN DI PROVINSI SUMATERA UTARA MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Siti Hartina Daulay; Elmanani Simamora
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 2 No. 1 (2023): April : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v2i1.646

Abstract

Kemiskinan merupakan permasalahan multidimensi yang kompleks dan mencakup berbagai aspek. Akibat kompleksitas yang dimilikinya, penanggulangan kemiskinan memerlukan program yang terintegrasi dan tidak tumpang tindih. Tujuan dari penelitian ini terfokus pada analisis faktor-faktor penyebab kemiskinan di Provinsi Sumatera Utara dengan mempertimbangkan aspek spasial menggunakan metode Geographically Weighted Regression (GWR). Penelitian ini menggunakan data kemiskinan Provinsi Sumatera Utara pada tahun 2018. Berdasarkan pengujian heterogenitas spasial dan dependensi spasial dapat disimpulkan bahwa kemiskinan dipengaruhi oleh aspek spasial sehingga penelitian ini dapat dianalisis menggunakan metode GWR. Pemodelan dengan menggunakan metode GWR menghasilkan nilai yang lebih besar dari regresi global yang mengahasilkan . Kemudian metode GWR menghasilkan nilai AIC = 171.123 yang lebih kecil dibandingkan dengan model regresi global dengan nilai AIC = 185.909.Hasil analisis menunjukkan karakteristik persentase kemiskinan mengelompok. Daerah-daerah yang tergolong memiliki persentase tertinggi berada di daerah kepulauan Nias.
PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI SUMATERA UTARA MENGGUNAKAN REGRESI SPASIAL Asmita Tumanggor; Elmanani Simamora
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 2 No. 2 (2023): Oktober : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v2i2.822

Abstract

The quality of life in North Sumatra currently still needs improvement, where poverty rates and human development are still lagging. These problems can be reflected in the community welfare indicator, namely the Human Development Index (IPM). One of these problems can be solved by knowing the factors that determine the Human Development Index in North Sumatra. The Human Development Index is suspected to contain elements of spatial dependency, therefore in this study the spatial regression method will be used with a spatially dependent effect model. The results of the analysis and discussion obtained are that the SAR model is the appropriate model in the case of the Human Development Index in North Sumatra. Predictor variables that significantly influence the Human Development Index in North Sumatra are Pure Enrollment Rate (APM) at Senior High School level , Poverty Rate , Open Unemployment Rate , and PDRB on the basis of price .
Co-Authors Asmita Tumanggor EDI SYAHPUTRA Maulidia Wanahari NETTI KARIANI MENDOFA Siti Hartina Daulay Zul Amry