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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Pendidikan Matematika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI 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 Adijaya Multidisiplin Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Statistika dan Sains Data Joong-Ki Jurnal Pendidikan Progresif Mathematics Education Journal Journal on Mathematics Education
Ezra Putranda Setiawan
Department Of Mathematics Education, 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 Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions 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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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

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

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
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.
Penguatan Analisis Data Menggunakan Program R dan Pemodelan Matematika Bagi Mahasiswa Indonesia di Taiwan Kismiantini, Kismiantini; Binatari, Nikenasih; Setiawan, Ezra Putranda; Nur'aini, Rizky
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 9 No. 1 (2026): Februari
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v9i1.10632

Abstract

Analisis data memegang peranan penting dalam proses penelitian yang dapat menjadi jembatan antara data mentah yang dikumpulkan dan kesimpulan yang dapat diambil secara ilmiah. Pemodelan matematika berfungsi sebagai alat untuk memahami fenomena, menguji hipotesis, dan membuat prediksi berbasis bukti. Penguatan analisis data dan pemodelan matematika diperlukan bagi mahasiswa terutama bagi mereka yang studi lanjut pada jenjang magister dan doktor. Oleh karena itu, tim pengabdi menyelenggarakan workshop penguatan analisis data dan pemodelan matematika bagi mahasiswa Indonesia di National Dong Hwa University, Taiwan. Workshop ini dilaksanakan secara luring dan berfokus pada pengenalan pemrograman R serta model ekonomi dan aplikasinya, pemodelan persamaan struktural (SEM) dalam R menggunakan metode berbasis kovarians dan kuadrat terkecil parsial, serta pemodelan matematika dan aplikasinya. Workshop ini diikuti oleh 22 peserta meliputi mahasiswa, alumni, dan umum. Dari survei akhir diperoleh bahwa 58,34% peserta menyatakan bahwa analisis data relevan dan sangat relevan dengan studi mereka, sementara 50% peserta menyatakan pemodelan matematika relevan dan sangat relevan. Secara keseluruhan, 66,67% peserta sangat puas dengan kegiatan workshop dan 33,33% peserta merasa puas.
Peningkatan Kompetensi Statistika Guru Matematika SMA Melalui Workshop Analisis Data Bivariat Wutsqa, Dhoriva Urwatul; Fauzan, Muhammad; Setiawan, Ezra Putranda; Nur'aini, Rizky
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 2: Februari 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v5i2.12786

Abstract

Analisis data bivariat merupakan bagian dari capaian pembelajaran Matematika SMA yang baru muncul pada Fase E dan Fase F Kurikulum Merdeka dan belum pernah dijumpai pada kurikulum sebelumnya. Secara umum, analisis data bivariat meliputi dua topik besar yakni analisis korelasi dan analisis regresi. Hal ini mendorong perlunya peningkatan kompetensi bagi guru-guru SMA, khususnya di wilayah Daerah Istimewa Yogyakarta (DIY), agar semakin menguasai dan mampu mengajarkan materi tersebut kepada siswa. Kegiatan Pengabdian pada Masyarakat ini berupa workshop analisis regresi dan korelasi bagi guru SMA, dan dikelola bersama Musyawarah Guru Mata Pelajaran (MGMP) Matematika SMA Daerah Istimewa Yogyakarta. Kegiatan workshop tersebut memuat sejumlah materi yang meliputi konsep dasar analisis korelasi variabel kategorik dan numerikal, konsep dasar analisis regresi, praktik analisis data bivariat dengan Microsoft Excel, serta praktik analisis data bivariat dengan aplikasi berbasis web. Penyajian dalam bentuk workshop sehari secara luring dapat berjalan secara efektif. Hasil survey juga menunjukkan bahwa peserta workshop telah memahami materi dengan baik.
How Motivation mediated Science Achievement of Indonesian Students: a Path Analysis on PISA 2018 data Candra Putri Nur Cahyani; Ezra Putranda Setiawan
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.
Faktor Penentu Capaian Sains Siswa Indonesia: analisis multilevel pada dataset PISA Tia Asri Ivanka; Ezra Putranda Setiawan
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.11602

Abstract

Students' science achievement is one indicator of a country's progress in science and technology. Until 2022, the Programme for International Student Assessment (PISA) survey showed that Indonesian 15-year-old students' science achievement was still lower than that of OECD countries. This study aims to explore factors related to students' science achievement at the student and school levels in Indonesia. Although it dates to 10 years, we use the PISA 2015 datasets since it is focused on science and includes several variables that are not available in either PISA 2018 or 2022. We use multilevel modeling implemented in R statistical software. We find that 50.9% of the total variance in students' science achievement is attributable to differences among students (level 1), while the remaining variance is associated with school differences (level 2). In addition, the random-slope model outperformed the random-intercept and null models. Student-level variables significantly influencing students' science achievement are gender, the socioeconomic and cultural status index, science enjoyment, self-efficacy, and epistemological beliefs about science. Meanwhile, school-level variables significant for students' science ability include school type and the disciplinary climate in science classes. Further improvements and studies are needed to increase Indonesian students' science achievement in PISA 2025.
Peningkatan Kompetensi Statistika Guru Matematika SMA Melalui Workshop Analisis Data Bivariat Wutsqa, Dhoriva Urwatul; Fauzan, Muhammad; Setiawan, Ezra Putranda; Nur'aini, Rizky
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 2: Februari 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v5i2.12786

Abstract

Analisis data bivariat merupakan bagian dari capaian pembelajaran Matematika SMA yang baru muncul pada Fase E dan Fase F Kurikulum Merdeka dan belum pernah dijumpai pada kurikulum sebelumnya. Secara umum, analisis data bivariat meliputi dua topik besar yakni analisis korelasi dan analisis regresi. Hal ini mendorong perlunya peningkatan kompetensi bagi guru-guru SMA, khususnya di wilayah Daerah Istimewa Yogyakarta (DIY), agar semakin menguasai dan mampu mengajarkan materi tersebut kepada siswa. Kegiatan Pengabdian pada Masyarakat ini berupa workshop analisis regresi dan korelasi bagi guru SMA, dan dikelola bersama Musyawarah Guru Mata Pelajaran (MGMP) Matematika SMA Daerah Istimewa Yogyakarta. Kegiatan workshop tersebut memuat sejumlah materi yang meliputi konsep dasar analisis korelasi variabel kategorik dan numerikal, konsep dasar analisis regresi, praktik analisis data bivariat dengan Microsoft Excel, serta praktik analisis data bivariat dengan aplikasi berbasis web. Penyajian dalam bentuk workshop sehari secara luring dapat berjalan secara efektif. Hasil survey juga menunjukkan bahwa peserta workshop telah memahami materi dengan baik.
Co-Authors Ade Setyani Nurmara Sari Adi Cilik Pierewan Agus Maman Abadi Agustyani, Anggit Reviana Dewi Ali Djamhuri Anak Agung Gede Sugianthara Anggit Reviana Dewi Agustyani Annindiya, Harsyta ARIF KURNIAWAN Bayutama Isnaini Bayutama Isnaini Brilliant, Indira Ihnu Candra Putri Nur Cahyani 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 Khakam Ma’ruf Kismiantini Kismiantini Langiran, Andriati Luthfi, Zalfa Jihan Montesinos-López, Osval A. Montesinos-Lopez, Osval Antonio Muhammad Fauzan Muhammad fauzan Nashirah, Najla Nastiti, Kartika Tri Nikenasih Binatari Nur'aini, Rizky Osval A. Montesinos- López Osval Antonio Montesinos-Lopez Permana, Ryan Sidiq Prihantoro, Satrio Prihantoro, Satrio Rahma Widyana Raisah Kirana Candra Retno Subekti Ridwan Wicaksono Rosita Kusumawati Sahid Sahid Tia Asri Ivanka Ummah, Karimatul ‘Ibad, Muhammad Irsyadul