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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
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Penerapan model regresi spasial dalam menentukan faktor-faktor yang memengaruhi indeks pembangunan manusia di kabupaten/kota Pulau Kalimantan Langiran, Andriati; Kismiantini, Kismiantini; Setiawan, Ezra Putranda
Jurnal Statistika dan Sains Data Vol 1, No 1 (2023): Jurnal Statistika dan Sains Data
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jssd.v1i1.19069

Abstract

Indeks Pembangunan Manusia (IPM) merupakan salah satu ukuran keberhasilan pembangunan. Di Indonesia, IPM digunakan untuk mengukur keberhasilan pemerintah dalam hal pembangunan kesejahteraan manusia. Pada tahun 2021, IPM di Kabupaten/Kota Pulau Kalimantan masih banyak yang lebih rendah dibandingkan dengan rata-rata IPM di Indonesia yaitu 72,29. Oleh karena itu, perlu diketahui faktor-faktor yang memengaruhi IPM di setiap Kabupaten/Kota. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berpengaruh signifikan dan untuk mengetahui model Geographically Weighted Regression (GWR) dengan menggunakan fungsi pembobot terbaik berdasarkan data Kabupaten/Kota di Pulau Kalimantan. Model GWR bekerja dengan mengestimasi parameter dengan mempertimbangkan lokasi. Hasil penelitian berdasarkan model GWR terbaik yaitu model GWR dengan fungsi pembobot adaptive bi-square kernel diperoleh tujuh kelompok Kabupaten/Kota berdasarkan faktor yang berpengaruh. Kelompok dengan Kabupaten/Kota yang paling banyak dipengaruhi oleh faktor persentase penduduk miskin. Model GWR terbaik memperoleh nilai koefisien determinan (R2) sebesar 62,7%.
Workshop on Visual Data Analysis with R Program Wutsqa, Dhoriva Urwatul; Kismiantini, Kismiantini; Kusumawati, Rosita; Subekti, Retno; Setiawan, Ezra Putranda; Isnaini, Bayutama; Brilliant, Indira Ihnu
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol. 8 No. 2 (2024): Vol 8, No 2 (2024)
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v8i2.71583

Abstract

Statistics data analysis generally focuses more on mathematical procedures than visual. Visual analysis is very useful for research and this is still very limited to study at Universitas Mercu Buana Yogyakarta, so the UNY Statistics lecturer's service activity is holding visual data analysis workshop with the R program, where this program is open source and is complete for visual analysis. The material for this activity is about procedures and uses for visual data analysis, introduction to the R program, data management with the R program, visual data analysis for group descriptions and comparisons, and visual data analysis for relationships between variables. Evaluation of participants' ability to understand the material is measured through 14 questions with four Likert Scale responses. Based on 40 questionnaires, 27,86% answered "Strongly Agree", 71,96% "Agree", and 0,18% "Disagree" regarding understanding and applying visual data analysis techniques with the R program. Therefore, it can be concluded that the majority of participants could understand the workshop material and follow the training well.
Examining Mathematics Achievement of Students from Different Provinces: What PISA 2018 says about Indonesia? Kismiantini, Kismiantini; Setiawan, Ezra Putranda
Southeast Asian Mathematics Education Journal Vol 14, No 1 (2024)
Publisher : SEAMEO Regional Centre for QITEP in Mathematics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46517/seamej.v14i1.331

Abstract

Despite participating in PISA for more than 10 years, Indonesian students' mathematics achievements still tend to be low. On the other hand, PISA 2018 shows that students in two provinces, namely (1) Special Region of Yogyakarta, and (2) Special Region of Capital City Jakarta, exhibit higher mathematics achievement than students from other provinces. This research aim is to examine factors affecting students' mathematics performance in these three regions. We carried out statistical multilevel analysis with a random effects model using R software. Based on this analysis, we find differences in factors that influence students' mathematics achievement from three provinces. Variables that significantly influence students’ mathematics achievement in the three regions are parent support, home support, students' mastery goals, and students' competition. The only variables that were significant outside Special Region of Yogyakarta and Special Region of Capital City Jakarta were students' beliefs and students' ESCS. In the three provinces, the variables growth mindset, gender, and father's education level did not affect students' mathematics achievement.
Pengaruh kurs, suku bunga, dan IHSG terhadap nilai aktiva bersih reksa dana menggunakan Autoregressive Distributed Lag Hanifa, Amelia Rifka; Wutsqa, Dhoriva Urwatul; Setiawan, Ezra Putranda
Jurnal Statistika dan Sains Data Vol 2, No 1 (2024): Jurnal Statistika dan Sains Data
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jssd.v2i1.19863

Abstract

Saat ini masyarakat Indonesia memiliki minat yang cukup tinggi untuk investasi melalui reksa dana karena dirasa memberikan imbal hasil yang cukup tinggi. Untuk memaksimalkan hasil, investor perlu memilih reksa dana dengan kinerja yang baik. Kinerja reksa dana dapat diukur dengan menggunakan NAB reksa dana. NAB reksa dana dipengaruhi oleh faktor makroekonomi di Indonesia, misalnya Kurs, Suku Bunga, dan IHSG. Penelitian ini bertujuan untuk membuktikan pengaruh secara simultan dan parsial dari Kurs, Suku Bunga, dan IHSG terhadap NAB reksa dana tipe Fixed Income Fund, Global Fund, dan Money Market Fund. Data yang digunakan dalam penelitian ini yaitu data nilai Kurs, Suku Bunga, IHSG, dan NAB reksa dana tipe Fixed Income Fund, Global Fund, dan Money Market Fund. Penelitian ini dilakukan menggunakan Metode Autoregressive Distributed Lag(ADL). Adapun tahapan yang dilakukan yaitu pengujian stasioneritas, uji kointegrasi, pemilihan lag optimum, pemodelan ADL jika tidak terdapat kointegrasi, dan uji asumsi klasik. Hasil penelitian menunjukkan bahwa NAB Reksa Dana Fixed Income Fund dipengaruhi Suku Bunga secara negatif signifikan pada lag1 dan lag5, serta dipengaruhi suku bunga secara positif signifikan pada lag2. NAB Reksa Dana Global Fund tidak dipengaruhi secara signifikan oleh faktor ekonomi di Indonesia. NAB Money Market Fund dipengaruhi secara signifikan oleh NAB reksa dana Money Market Fund pada lag4, Suku Bunga pada lag5, Kurs pada lag1,dan IHSG pada lag3.
LEARNER MOTIVATION IN ESL LEARNING STRATEGIES AND GENDER ROLE Prihantoro, Satrio; Widyana, Rahma; Setiawan, Ezra Putranda
LLT Journal: A Journal on Language and Language Teaching Vol 21, No 1 (2018): April 2018
Publisher : English Education Study Programme of Sanata Dharma University, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/llt.v21i1.825

Abstract

Language learning strategy is one of the main factors that help determine how well our students learn a second or foreign language (Oxford, 2003). Research has shown that more effective language learners use more and better learning strategies than poorer language learners (Rubin, 1975; Stern, 1975). This research investigates the difference in ESL learning strategies used by students with different levels of ESL learner motivation and how gender plays a role in both. Strategy Inventory of Language Learning (SILL; Oxford, 1990) and English Language Learner Motivation Scale (ELLMS; Ardasheva, Tong and Tretter, 2012) were used and adopted to measure English language learning strategies and English language learner motivation, by employing 65 male students and 75 female students from Budi Utama Junior High School as participants. The data analyzed showed that there was significant difference in ESL learning strategies used by the students with different levels of ESL learner motivation but there is no significant role of gender in ESL learner motivation and ESL learning strategies.
Pengembangan Filter Mikroplastik Terinspirasi Dari Cara Hidup Paus Biru (Balaenoptera Musculus) Raisah Kirana Candra; Arif Kurniawan; Ezra Putranda Setiawan; Ridwan Wicaksono; Khakam Ma’ruf
Jurnal Adijaya Multidisplin Vol 3 No 01 (2025): Jurnal Adijaya Multidisiplin (JAM)
Publisher : PT Naureen Digital Education

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Abstract

Air adalah bagian penting dalam kehidupan manusia, begitu juga dengan perairan. Tetapi seiring bertambahnya penduduk, sampah yang mencemari perairan semakin meningkat, terutama sampah plastik yang sulit terurai. Dalam proses degradasi, plastik menjadi potongan kecil yang disebut mikroplastik. Potongan ini berukuran kurang dari 5 mm dan tersebar dalam perairan. Pencemaran mikroplastik tentu berbahaya bagi kehidupan organisme di sekitarnya. Dari permasalahan tersebut, penelitian ini bertujuan untuk mengembangkan filter mikroplastik dengan metode rapid sand filtration dan granular activated carbon dengan desain yang menyerupai struktur tubuh paus biru. Filter diujikan pada air Sungai Code, Sungai Winongo, Sungai Gajahwong, dan Sungai Manunggal. Hasil penelitian menunjukkan bahwa persentase tertinggi penurunan konsentrasi mikroplastik pada filter sebesar 88,5% dan persentase rata rata 75,4% untuk filtrasi dengan pembilasan dan 71,7% untuk filtrasi tanpa pembilasan. Filter memiliki debit filtrasi rata rata sebesar 6x103 m3/s. Hasil penelitian dan pengembangan pada filter cukup efektif untuk diimplementasikan ke sungai yang tercemar.
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.
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