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All Journal PROSIDING SEMINAR NASIONAL Journal of Education and Learning (EduLearn) Jurnal Infinity Indonesian Journal of Mathematics and Natural Sciences Sainteknol : Jurnal Sains dan Teknologi Unnes Journal of Mathematics Education Research Journal of Primary Education ANARGYA: Jurnal Ilmiah Pendidikan Matematika Unnes Journal of Mathematics Education Unnes Journal of Mathematics Proceeding of International Conference on Science, Education, and Technology Jurnal Infinity
Nurkaromah Dwidayati, Nurkaromah
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Humanities Computer Science & IT Education Library & Information Science Mathematics Social Sciences Other

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SEMIPARAMETRIK MULTILEVEL ZERO-INFLATED GENERALIZED POISSON REGRESSION MODELING ON TRAFFIC ACCIDENT DATA IN TEMANGGUNG REGENCY Isa, Bani Muhamad; Dwidayati, Nur Karomah
Unnes Journal of Mathematics Vol 9 No 2 (2020)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v9i2.34761

Abstract

This study aims to model the data of traffic accidents in Temanggung Regency with a multilevel zero-inflated generalized poisson semiparametric regression model. Multilevel zero-inflated generalized poisson semiparametric regression is a regression model for analyzing poisson distribution data with stratified data structures that are overdispersed and there are parametric and nonparametric components in the independent variable. This study uses the variable of many accidents as the response variable, as well as the variable of many traffic light violations, many violations of drivers not having a SIM, many accidents because the vehicle is not fit, many accidents due to damaged roads as the independent variable. The method used to estimate the model parameters is the Maximum Likelihood Ratio (MLE) method with the Maximization Expectation (EM) algorithm. After estimating the parameters and the suitability of the test model with the Wald Test, then the model shape is obtained a semiparametric regression multilevel zero inflated generaized poison with AIC count model 144.0032 and AIC zero-inflation model -63.0016.
Estimation of gamma distribution parameters on type II censored data using Fisher-scoring algorithms Apriliani, Yustika Rakhma; Dwidayati, Nur Karomah; Agoestanto, Arief
Unnes Journal of Mathematics Vol 10 No 1 (2021)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v10i1.42802

Abstract

Estimasi merupakan metode untuk mengetahui perkiraan nilai suatu populasi dengan menggunakan nilai-nilai sampel. Dalam metode estimasi, parameter yang ditaksir berupa nilai rata-rata dan simpangan baku. Nilai estimasi parameter distribusi Gamma dicari dengan menggunakan metode maximum likelihood estimation. Estimasi parameter dilakukan dengan menyelesaikan persamaan maksimum likelihood. Persamaan tersebut diperoleh melalui perhitungan turunan parsial fungsi likelihood terhadap masing-masing parameternya. Persamaan yang diperoleh berbentuk implisit, sehingga perhitungan nilai estimatornya dilakukan dengan menggunakan iterasi algoritma Fisher-Scoring berbantuan program matlab. Setelah melakukan dua kali iterasi diperoleh nilai estimator parameter α = 1.3163030 dan β = 2.3264578. Hasil yang diperoleh menunjukkan bahwa estimasi tersebut bersifat tidak konsisten sehingga perlu dilakukan pengkajian kembali pada penelitian selanjutnya.
Analisa perbandingan k-means dan fuzzy c-means dalam pengelompokan daerah penyebaran COVID-19 Indonesia Putri, Aina Latifa Riyana; Dwidayati, Nurkaromah
Unnes Journal of Mathematics Vol 10 No 2 (2021)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v10i2.50433

Abstract

Penelitian ini bertujuan untuk mengetahui algoritma terbaik dalam pengelompokan daerah penyebaran Covid-19 per provinsi di Indonesia yang mana dilakukan berdasarkan fakta dimana saat ini Indonesia diguncangkan oleh mewabahnya Covid-19. Metode analisis data melakukan perbandingan antara algoritma k-Means dan Fuzzy c-Means dengan uji validitas cluster menggunakan Dunn-Index dan Davies Bouldin-Index untuk memperoleh hasil cluster optimal berbantuan Rstudio. Hasil penelitian menunjukkan bahwa pengujian clustering k-Means menghasilkan nilai akurasi yang lebih besar sebesar 1,165219 dibandingkan Fuzzy c-Means. Sehingga clustering k-Means diambil untuk menentukan pengelompokan daerah penyebaran Covid-19 per provinsi Indonesia. Diperoleh 4 cluster optimal berdasarkan beberapa data kasus Covid-19 dari 15 Maret 2020 - 30 Juli 2021 menggunakan metode Elbow yang terbentuk dengan algoritma k-Means yaitu cluster yang berpotensi sangat tinggi dalam penyebaran kasus Covid-19 berisi 2 provinsi, cluster yang berpotensi tinggi dalam penyebaran kasus Covid-19 berisi 22 provinsi, cluster yang berpotensi sedang dalam penyebaran kasus Covid-19 berisi 8 provinsi, dan cluster yang berpotensi rendah dalam penyebaran kasus Covid-19 berisi 2 provinsi. Saran yang diberikan sebaiknya pemerintah lebih menertibkan lockdown hingga giat edukasi perihal vaksin sebagai alternatif cara untuk menekan kasus Covid-19.
Developing Assessment Instrument as a Mathematical Power Measurement Imam Kusmaryono; Hardi Suyitno; Dwijanto Dwijanto; Nurkaromah Dwidayati
Journal of Education and Learning (EduLearn) Vol 12, No 3: August 2018
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.424 KB) | DOI: 10.11591/edulearn.v12i3.7343

Abstract

This was a field research (literature review and exploration) with descriptive quantitative approach. This study aims: (1) to develop a model (scheme) to assess mathematical power, (2) to test the validity of instruments of mathematical power assessment, and (3) to developa valid and reliable test and non-test instrument prototypes as a mathematical power measurement. The research instruments consist of 4 items of essay test, 20 sheets of observation on investigative activities, and 20 items of questionnaires. Validity test was conducted through constructions built up from 3 aspects of mathematical power ability. Result of instrument analysis showed that: (1) the r of instrument test = 0.947, meaning that the instrument is reliable, (2) the r of activity observation sheets = 0.912, meaning that the instrument is reliable, and (3) the r of questionnaires = 0.770, meaning that the questionnaire is reliable on 0.05 significance level. This study concludes: (a) the steps in the model (scheme) of mathematical power assessment may be used as a reference for assessing mathematical power, (b) test and non-test instruments are valid and reliable, and (c) prototypes of test and non-test instruments may be used as a measurement in mathematical power assessment.
KEMAMPUAN ALJABAR DITINJAU DARI SIKAP SISWA Muhamad Gani Rohman; Mulyono Mulyono; Nurkaromah Dwidayati
ANARGYA: Jurnal Ilmiah Pendidikan Matematika Vol 4, No 2 (2021)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/anargya.v4i2.6880

Abstract

AbstractAlgebraic ability is an important part in mathematics. Someone with good algebraic ability will have good performancein mathematics. Math performance has related with attitudes toward mathematics. Someone with good math performance will have good math ability too. Algebraic ability can represent the quantitative situation so someone with good algebraic ability can see the relationship between variables clearly. Attitudes toward mathematics is positive or negative feelings toward math.  The methods in this study uses a mixed methods with sequential explanatory design where research is conducted in two stages, followed by a quantitative research to know algebraic ability after learning with TAI’s Learning Model and followed with a qualitative research to analyze the algebraic in terms of  attitudes toward mathematics. The quantitative research start with choosing sample students in XI IPA 5 of MAN 2 Kudus, when the qualitative research took seven students in that class. After all students in that class learned and participated in algebraic ablility test, there are correlation between attitute towards mathematics and algebraic ability.AbstrakKemampuan aljabar merupakan salah satu hal penting dalam matematika. Dengan kemampuan aljabar yang baik, performa matematika seseorang akan meningkat. Performa matematika memiliki kaitan dengan  sikap terhadap matematika. Ketika performa matematika seseorang baik, maka kemampuan-kemampuan matematika dalam diri orang tersebut juga relatif baik. Kemampuan aljabar mampu merepresentasikan situasi kuantitatif sehingga seseorang yang memiliki kemampuan aljabar mampu melihat hubungan antar variabel menjadi jelas. Sikap terhadap matematika merupakan perasaan positif atau negatif seseorang terhadap matematika. Metode penelitian yang digunakan adalah mixed methods dengan menggunakan desain sequential explanatory dimana penelitian dilakukan dengan dua tahap yaitu penelitian kuantitatif dengan menguji kemampuan aljabar setelah diajar dengan model TAI dan selanjutnya akan dilanjutkan dengan analisis kemampuan aljabar bila ditinjau dari sikap siswa. Penelitian kuantitatif mengambil sampel siswa kelas XI IPA 5 di MAN 2 Kudus, sementara penelitian kualitatifnya mengambil subjek penelitian tujuh siswa dari kelas tersebut. Setelah siswa kelas tersebut menerima pembelajaran dan mengikuti tes kemampuan aljabar, ditemukan pengaruh sikap siswa terhadap matematika pada tingkat kemampuan aljabar yang dimiliki.
Ethnomathematics Challenges and Opportunities in Mathematics Research and Learning: A Bibliometric Study Using the VosViewer Trimurtini Trimurtini; SB Waluya; Zaenuri Zaenuri; Nur Karomah Dwidayati; Iqbal Kharisudin
International Conference on Science, Education, and Technology Vol. 7 (2021)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The ethnomathematics approach could complement mathematics learning at all levels of education. This study aims to determine the progress map of the ethnomathematics research. The literature review was carried out from April to May 2021 by searching through the Scopus, Google Scholar, and Crossref database using ‘ethnomathematics’ as the keyword with the help of the VosViewer software. The results showed the development of research and publications on ethnomathematics in the last twelve years (2015 to 2021) from three international databases including Scopus with 200 articles, Crossref with 142 articles, and Google Scholar with 840 articles. The progress map of the ethnomathematics publication based on co-words was grouped into 5 clusters. The authors found four keywords; pedagogy, problem-solving ability, elementary school student, and teaching materials in the collected ethnomathematics publications that can be developed for future research and learning studies at Elementary School Teacher Education Study Program.
ANALYSIS OF ABSTRACT REASONING FROM GRADE 8 STUDENTS IN MATHEMATICAL PROBLEM SOLVING WITH SOLO TAXONOMY GUIDE Imam Kusmaryono; Hardi Suyitno; Dwijanto Dwijanto; Nurkaromah Dwidayati
Jurnal Infinity Vol 7 No 2 (2018): Volume 7 Number 2, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v7i2.p69-82

Abstract

This research was a descriptive research. Description of research result was presented quantitatively and qualitatively. Subjects of the research were 30 (thirty) 8th graders of SMPN 10 (State Junior High School) in Semarang, Indonesia. Data were collected through tests, documentation, observations, and interview. Student answers documents were observed and analyzed with SOLO Taxonomy guidance. The objective of the study was to analyze and provide an interpretation of students abstract reasoning level in cognitive development based on intended learning outcomes. The result of findings from students’ answers basically showed that students' abstract reasoning on the lower, middle and upper level, was alike to stages of structure complexity improvement. There were two main changes from concrete thinking to abstract thinking: quantitative stage (uni-structural and multi-structural) occurred first, as the number of details in student responses increased and then changed qualitatively (relational and extended abstract) because the detail was integrated into a structural pattern.
Co-Authors Amalia, Dhea Amidi Amidi, Amidi Anita Anggraeni, Anita Apriliani, Yustika Rakhma Ardama, Johan Dwi Ari Prasetyo Arief Agoestanto Assidiq, Addinul Astuti, Niken Yulia Bravendi, Diantina Dewi, Ardhyani Yunika Dewi, Nuriana Rachmani Dwijanto Dwijanto Dwijanto Dwijanto, Dwijanto Edy Cahyono Febrianto, Laeli Sidik Fitriyanti, Nur Laesiyah Hardi Suyitno Hardini Kurniani, Khoirida Hermawan, Jody Setya Imam Kusmaryono Iqbal Kharisudin Isa, Bani Muhamad Isnaini Rosyida, Isnaini Isnarto, Isnarto Iwan junaedi Jerau, Emiliana Elsa Kartono , Karyadi Karyadi Limay Trisno Putra, Ari Maharani, Anindya Gita Masrukan Masrukan Millaty, Vita Nur Mohammad Asikin Muhamad Gani Rohman Mulyono Mulyono Mulyono Mulyono Muna, Trimurtini, Nur Aizatun Oktaviyanty, Hetty Pebriyanti, Maria Metha Dwi Pradewita, Wella Cintya Pratiwi, Dyah Ayu Probosiwi, Wdyanita Indah Pujilestari, Sri Putri, Aina Latifa Riyana Putriaji Hendikawati Retnowati, Fitri Riawati, Beti Rifky Ardhana Kisno Saputra Rochmad - Rohman, Muhamad Gani Safitri, Tias SB Waluya Solehuzain, Solehuzain Suci Fajariah, Eka Sugiman Sugiman Sukestiyarno Sukestiyarno Sukestiyarno, Y L Sunarmi Sunarmi Tri Wahyuningsih Triwibowo, Zanuar Veronica, Rahayu Budhiati Wardono Wardono Widayanti, Christina Yulianto, Alfany Rahman Zaenuri Zaenuri Zubaedi, Muhammad Fakqih