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JTAM (Jurnal Teori dan Aplikasi Matematika)
ISSN : 25977512     EISSN : 26141175     DOI : 10.31764/jtam
Core Subject : Education,
Jurnal Teori dan Aplikasi Matematika (JTAM) dikelola oleh Program Studi Pendidikan Matematika FKIP Universitas Muhammadiyah Mataram dengan ISSN (Cetak) 2597-7512 dan ISSN (Online) 2614-1175. Tim Redaksi menerima hasil penelitian, pemikiran, dan kajian tentang (1) Pengembangan metode atau model pembelajaran matematika di sekolah dasar sampai perguruan tinggi berbasis pendekatan konstruktivis (PMRI/RME, PBL, CTL, dan sebagainya), (2) Pengembangan media pembelajaran matematika berbasis ICT dan Non-ICT, dan (3) Penelitian atau pengembangan/design research di bidang pendidikan matematika, statistika, analisis matematika, komputasi matematika, dan matematika terapan.
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Articles 24 Documents
Search results for , issue "Vol 5, No 1 (2021): April" : 24 Documents clear
An Analysis of Students’ Errors in Completing Essay HOTS Questions Based On Watson's Criteria Viewed From The Cognitive Style Perspective Santoso, Teguh; Cholily, Yus Mochamad; Syaifuddin, Mohammad
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 1 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i1.3776

Abstract

This study aimed to determine the students’ errors classified as Field Independent (FI) and Field Dependent (FD) in solving essay HOTS questions based on Watson criteria and to find out the causes of errors experienced by FI and FD types of students in finishing those questions. This was qualitative research which implemented the case study method. This research was carried out at Junior High School 3 Kepanjen Malang of 2019/2020 academic year. Research subjects were determined based on The Group Embedded Figures Test (GEFT) test results. From the test, two students were selected from each type of cognitive style. The applied data collection included tests and interviews. The qualitative data analysis applied four stages: data reduction, data presentation, conclusion, and verification. The results showed that FI students experienced errors in manipulating calculation, false conclusions, incorrect use of mathematical formulas, and false calculation. On the other hand, FD students had errors in mathematical operation signs, erroneous formula writing, irresponsive to problems, errors of manipulating calculation, and not writing mathematical formulas.
Bayes Estimation of Shape Parameter of Length Biased Weibull Distribution Rao, Arun Kumar; Pandey, Himanshu
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 1 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i1.3268

Abstract

In this paper, length biased Weibull distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter have been derived under squared error, precautionary, entropy, K-loss, and Al-Bayyati’s loss functions by using quasi and gamma priors.
Students' Numeracy Skills Relating to Algebra Topic Using COVID-19 Context Sari, Septi Puspita; Zulkardi, Zulkardi; Darmawijoyo, Darmawijoyo
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 1 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i1.3881

Abstract

The Minimum Competency Assessment (MCA) is a basic competency assessment that will be carried out by the ministry of education and culture in Indonesia in 2021, one of the assessments is numeracy. Algebraic material is one of the important materials for students to learn related to everyday problems. The use of context is important in learning algebra. In this regard, the discussion which is now a topic of discussion for all groups not only from Indonesia but the world, namely Covid-19, can be an interesting context to raise. This study, describes the numeracy skills of students in working on algebraic questions, research subjects are students with heterogeneous abilities (medium, high, low) using a descriptive qualitative approach, with collection techniques in the form of tests, and interviews. The research subjects were grade VII students. Wherefrom the research, it was found that there were still unfulfilled numerical indicators, namely indicators of interpreting it to conclude. While indicators that often appear are using numbers and mathematical symbols in solving problems in life.
Economic Growth Modelling in West Nusa Tenggara Using Bayesian Spatial Model Approach Soraya, Siti; Herawati, Baiq Candra; Negara, Habib Ratu Perwira
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 1 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i1.3357

Abstract

Economic growth is a measure of the welfare of the people in an area. Economic movement is characterized by the number of goods and services produced. The high amount of goods produced and the services used are of course strongly influenced by the amount of available capital, the labor involved, and the level of technology used. The measuring instrument or a reflection of economic growth is the Gross Regional Domestic Product (GRDP). The purpose of this study is to model economic growth in NTB in 2018. In this study, GRDP modeling was carried out using the Bayesian Spatial approach. Based on the results of testing the spatial dependency and spatial heterogeneity, it shows that there is a spatial dependence on the GRDP of districts / cities in NTB Province.. From the analysis conducted, it was found that  was positive and insignificant at the 10% level. The parameter estimation results show that the number of workers, the value of capital and the number of workers weighed are variables that have a significant effect on the model. Thus the GRDP of an area in West Nusa Tenggara is influenced by the number of workers, the value of capital and the total labor weight and the GRDP of other surrounding areas.

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