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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Pendidikan Matematika Jurnal Manajemen Teknologi Journal on Mathematics Education (JME) Journal on Mathematics Education (JME) Jurnal Optimasi Sistem Industri Jurnal Kajian Informasi & Perpustakaan Jurnal Sains Matematika dan Statistika TIK ILMEU : Jurnal Ilmu Perpustakaan dan Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) LLT Journal: A Journal on Language and Language Teaching BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Akuntansi dan Keuangan Jurnal Pendidikan dan Kebudayaan Southeast Asian Mathematics Education Journal JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Tik Ilmeu : Jurnal Ilmu Perpustakaan dan Informasi Jurnal Statistika dan Sains Data Jurnal Pendidikan Progresif Mathematics Education Journal Journal on Mathematics Education
Ezra Putranda Setiawan
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Negeri Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Exploring first year university students’ statistical literacy: A case on describing and visualizing data Setiawan, Ezra Putranda; Sukoco, Heru
Journal on Mathematics Education Vol. 12 No. 3 (2021): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

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Abstract

Statistical literacy, which is the ability to use statistics in daily life, is an essential skill for facing society 5.0. This study aims to explore first-year university students’ ability to properly use simple descriptive statistics and data visualization. Qualitative data were collected using a set of questions from 39 undergraduate students. Many students were able to calculate various descriptive statistics, but some of them were still unable to determine suitable statistics to describe the data clearly. Related to data visualization, many students failed to provide a meaningful chart that effectively shows the difference between two groups of data. Students with higher statistical literacy tend to use comparison or variability reasoning to determine the usage of descriptive statistics, and use data-based reason in visualizing the data. Improvement in statistical teaching – both in the university and the secondary school – is needed so that the students can use descriptive statistics and data visualization correctly.
Developing Statistical Literacy Through Tasks: An Analysis of Secondary School Mathematics Textbooks Setiawan, Ezra Putranda; Sukoco, Heru; Agustyani, Anggit Reviana Dewi
Mathematics Education Journal Vol. 17 No. 2 (2023): Jurnal Pendidikan Matematika
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

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Abstract

Statistical literacy is an essential competence that people must face in the era of big data and Society 5.0. In Indonesia and several countries, statistics is taught as a list of competencies in mathematics subject in primary and secondary schools. This study aimed to identify whether statistical tasks in higher secondary school mathematics textbooks support statistical literacy. The qualitative data were collected via deductive content analysis, with a specific framework, toward five Compulsory Mathematics textbooks used in Indonesia. We found that statistical exercises and problems in these textbooks were dominated by data analysis type, emphasizing calculating statistics from raw data and its modification. Regarding data visualization, almost all textbooks introduced the histogram and ogive, while some also introduced the boxplot, stem-and-leaf plot, and dot plot. Improvement could be made by adding more exercises and problems related to the interpretation of statistics, evaluation of statistical results, and comparison of statistics from several data groups. DOI: https://doi.org/10.22342/jpm.17.2.2023.247-264
Faktor-Faktor Penentu Prevalensi Stunting di Nusa Tenggara Barat: Analisis Spasial dengan Modifikasi Ketetanggaan Nastiti, Kartika Tri; Luthfi, Zalfa Jihan; Ummah, Karimatul; Brilliant, Indira Ihnu; Setiawan, Ezra Putranda
Jambura Journal of Probability and Statistics Vol 6, No 1 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i1.24714

Abstract

Stunting is one of the problems faced by the Indonesian population. In 2022, its prevalence in West Nusa Tenggara reached 18.5% and became the fourth highest in Indonesia. This study was conducted to identify the factors that can be used to explain the prevalence of stunting in West Nusa Tenggara using the spatial regression method.  Considering that this province consists of two separate islands, Queen's contiguity matrix was modified to consider the connections between the islands.  Based on the AIC values, the Spatial Durbin Model (SDM) becomes the best model for stunting prevalence. The research results show that the variables Human Development Index (HDI), ADHK Gross Regional Domestic Product, and the number of community health centers have a significant effect on the prevalence of stunting in West Nusa Tenggara. Of these three variables, the HDI variable has the greatest influence on reducing the prevalence of stunting in West Nusa Tenggara. The significance of the Spatial Durbin model shows that there is a spatial effect on the dependent and independent variables. 
Growth mindset, school context, and mathematics achievement in Indonesia: A multilevel model Kismiantini; Setiawan, Ezra Putranda; Pierewan, Adi Cilik; Montesinos-López, Osval Antonio
Journal on Mathematics Education Vol. 12 No. 2 (2021): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

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Abstract

Shifting students to a growth mindset can increase their achievements. Nevertheless, only a few studies have been conducted on this topic in developing countries. This study aims to examine the relationship between growth mindset, school context, and mathematics achievement in Indonesia. Using a multilevel model on the PISA 2018 data, this study explored the variables that contributed to mathematics achievement. The multilevel analysis showed that students’ gender, growth mindset, index of economic social, and cultural status were statistically significant predictors of students’ mathematics achievement. Girls have been reported to have a higher mathematics achievement than boys in Indonesia. As the students’ growth mindset increases, so do their mathematics achievement.
Analisis Spasial Kualitas Air Sungai Winongo menggunakan Metode Universal Kriging Annindiya, Harsyta; ‘Ibad, Muhammad Irsyadul; Nashirah, Najla; Brilliant, Indira Ihnu; Setiawan, Ezra Putranda
Jurnal Sains Matematika dan Statistika Vol 11, No 2 (2025): JSMS Juli 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i2.29193

Abstract

Yogyakarta merupakan salah satu kota di Jawa yang dialiri oleh dua sungai, yakni Sungai Code dan Sungai Winongo. Penelitian ini bertujuan menerapkan universal kriging guna memetakan dan menganalisis kualitas air di Sungai Winongo dengan parameter fisis berupa Total Dissolve Solid, serta parameter biokimia berupa Bakteri Coliform dan Biological Oxygen Demand. Sampel diambil pada bulan Desember 2021 di lima titik pantau yaitu Bener, Peta, Serangan, Taman Sari, dan Prapanca. Metode Universal Kriging digunakan dalam penelitian ini karena adanya trend pada data parameter yang digunakan dan tidak memenuhi asumsi stasioner. Hasil yang diperoleh adalah sungai yang memiliki Biological Oxygen Demand paling tinggi adalah di sekitar titik pantau Peta, tercemar Total Dissolve Solid paling tinggi di sekitar titik pantau Prapanca serta tercemar Bakteri Coliform paling tinggi di sekitar titik pantau Prapanca dan Taman Sari.
SIMULASI PENERAPAN TEORI ANTRIAN DALAM PEMBATASAN PENGUNJUNG OBJEK WISATA Setiawan, Ezra Putranda; Sukoco, Heru; Harini, Lusi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.31 KB) | DOI: 10.30598/barekengvol15iss4pp719-726

Abstract

Restrictions of the visitor on the tourism places is one of the mechanism of health protocol that carried out during the new normal era. This restriction become a dilemma since the manager of the tourism places want to maximize their profit by allowing all visitor, while the government still limiting the number of visitor to avoid crowding. Otherwise, real-time monitoring of the number of visitor somewhat difficult since they can come in and leave the tourism places at any time. In this study we implement the queuing theory to solve this problem. The visitor of the tourism places is modelled as the customer, while the time spent by them in the tourism places is modelled as the serving duration. By estimating the average of time spent by the visitor and determine the average number of arrivals during the specified time, the number of visitor in the tourism place can be estimated as the number of people in the queuing system. As a preliminary study, this paper only focused on two queuing model, namely the M/M/1 and M/G/1. Further study is needed to develop the model and calibrate it using the data from a specified tourism place.
Determination of Optimal Portfolio by Calculating Transaction Costs using Genetic Algorithms on the Jakarta Islamic Index Fadhila, Sinta Oktavia Nur; Abadi, Agus Maman; Setiawan, Ezra Putranda
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 1 (2024): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i1.17469

Abstract

The optimal portfolio is a portfolio that can provide maximum returns at the same level of risk. In investing, the term "high return, high risk" is known, meaning that the higher the return, the higher the risk. Therefore, investors need to develop an optimal portfolio to obtain the maximum return on investment at the same level of risk. This study aims to determine the optimal formation of a stock portfolio by calculating transaction costs using the genetic algorithm method on stocks that are members of the Jakarta Islamic Index. This research uses data of daily return on stocks included in Jakarta Islamic Index from 1 August 2020-1 August 2022. The dataset consists of two variables: the date of observation and daily stock returns. The method used in this study is the minimum variance method and the genetic algorithm. Data analysis was divided into two stages: model formulation and model testing through case studies. The analysis of optimal portfolio formation using genetic algorithms shows that in terms of performance, the minimum variance portfolio is superior to the genetic algorithm portfolio, as indicated by the Sharpe ratio value. Meanwhile, the genetic algorithm portfolio is superior to the minimum variance portfolio regarding transaction costs. The genetic algorithm portfolio can provide a fairly high total return, small transaction costs, and good performance compared to the minimum portfolio. Hence, the genetic algorithm portfolio is worthy of recommendation to investors.
How Economics-Socio-Cultural Status affect Indonesian Students’ Performance in Mathematics? an Insight from PISA 2012-2022 Setiawan, Ezra Putranda; Kismiantini, Kismiantini; Montesinos-López, Osval A.
Jurnal Pendidikan Progresif Vol 14, No 3 (2024): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

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Abstract

How Economics-Socio-Cultural Status affect Indonesian Students’ Performance in Mathematics? an Insight from PISA 2012-2022. To date, the average mathematics performance of Indonesian students in PISA tends to be unchanged, and lower than that of OECD countries. However, PISA participants in Indonesia consist of students from five to six different grades. Objectives: This research aims to determine how Economic-Socio-Cultural Status (ESCS) and student grades influence Indonesian students' mathematics performance. Methods: We apply a quantitative approach using multiple linear regression analysis methods using the PISA 2012, 2015, 2018, and 2022 datasets. In this analysis, we also use the weight of each sample and the overall plausible value for mathematics performance. Findings: we found a significant relation between education level and ESCS regarding students' overall mathematics performance in PISA from 2012 to 2022. The interaction coefficient increases as the level increases from grade 8 of junior secondary school to grade 11. Conclusion: ESCS has a contribution to the diversity of students' mathematics performance at the same grade. From 2012 to 2022, the relative position of Indonesian students' ESCS compared to all participant has declined, although its influence on student mathematics performance tends to decline. Keywords: PISA, mathematics, Indonesia.DOI: http://dx.doi.org/10.23960/jpp.v14.i3.2024122
How Motivation mediated Science Achievement of Indonesian Students: a Path Analysis on PISA 2018 data Cahyani, Candra Putri Nur; Setiawan, Ezra Putranda
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.10012

Abstract

The low science achievement of Indonesian students in PISA 2018 is still a challenge for Indonesian education stakeholders. For a long time, socio-economic conditions, low interest in reading, and low motivation have often been the causes of these achievements. This study aims to examine the effects of socio-economic status, reading habits, and gender on Indonesian students' science achievements in PISA 2018. To represent the motivation variable, teacher support, parental support, and self-efficacy are placed as mediating variables toward science achievements. Using the path analysis mediation model implemented in R statistical software, we find that economic-social and cultural status, reading habits, and gender have a direct impact on students' science achievement. In addition, socio-economic and cultural status indirectly affects students' science achievement, mediated by teacher support, parental support, and self-efficacy. Reading habits indirectly affect students' science achievement, mediated by teacher support, parental support, and self-efficacy. Last, gender indirectly affects students' science achievement, mediated by parental support and self-efficacy, but does not affect students' scientific literacy scores when mediated by teacher support. Overall, gender has an indirect effect on students' science achievement.
Model Pengoptimuman Portofolio Mean-Variance dan Perkembangan Praktisnya Ezra Putranda Setiawan; Dedi Rosadi
Jurnal Optimasi Sistem Industri Vol. 18 No. 1 (2019): Published April 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v18.n1.p8-16.2019

Abstract

Many research about portfolio optimization in Indonesia still uses the ‘original’ mean-variance model as proposed by Markowitz more than 60 years ago. This article reviews the development and modification of the Markowitz’s mean-variance model, especially that dealing with real stock-market features, which could help the investor to create their own portfolio. There were several real-stock market features that implemented in the modification of mean-variance portfolios optimization models, such as the minimum transaction lots, the transaction cost, the cardinality constraint, the weight constraint, and the sectoral constraint. To implement these features, several heuristic methods were used to obtain the optimal portfolio weight, such as genetic algorithm, Tabu search, bee colony algorithm, particle swarm algorithm, and simulated annealing. These methods become alternative to the mathematical programming method.
Co-Authors Adi Cilik Pierewan Agus Maman Abadi Agustyani, Anggit Reviana Dewi Ali Djamhuri Anak Agung Gede Sugianthara Anggit Reviana Dewi Agustyani Annindiya, Harsyta Brilliant, Indira Ihnu Cahyani, Candra Putri Nur Dedi Rosadi Dhoriva Urwatul Wutsqa Dyah Ayu Kartika Sari Fadhila, Sinta Oktavia Nur Hanifa, Amelia Rifka Harini, Lusi Heru Sukoco Inayati, Syarifah Ismurjanti Ismurjanti Ismurjanti Ismurjanti Ismurjanti, Ismurjanti Isnaini, Bayutama Kismiantini Kismiantini Langiran, Andriati Luthfi, Zalfa Jihan Montesinos-López, Osval A. Montesinos-Lopez, Osval Antonio Nashirah, Najla Nastiti, Kartika Tri Osval A. Montesinos- López Osval Antonio Montesinos-Lopez Permana, Ryan Sidiq Prihantoro, Satrio Prihantoro, Satrio Rahma Widyana Retno Subekti Rosita Kusumawati Sahid Sahid Ummah, Karimatul ‘Ibad, Muhammad Irsyadul