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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Journal on Mathematics Education (JME) Jurnal Riset Pendidikan Matematika Indonesian Journal of Applied Statistics Indonesian Journal of Science and Mathematics Education Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Southeast Asian Mathematics Education Journal Jurnal Pengabdian kepada Masyarakat Nusantara Prosiding Seminar Nasional Official Statistics Jurnal Natural Jurnal Pendidikan dan Pengabdian Masyarakat STATISTIKA Jurnal Statistika dan Sains Data Jurnal Kajian dan Terapan Matematika Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Jurnal Pendidikan Progresif Mathematics Education Journal Journal on Mathematics Education
Kismiantini Kismiantini
Jurusan Pendidikan Matematika, Fakultas MIPA, Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Mathematics Neuroscience Physics Social Sciences Other

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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
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.
Pengaruh Kecemasan dan Mindset terhadap Hasil Asesmen Standardisasi Pendidikan Daerah (ASPD) Mata Pelajaran Matematika SMP Yosica Nadilla Zahara; Kismiantini Kismiantini
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 5 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i5.764

Abstract

This study aimed to examine the relationships among mindset, anxiety, and the achievement of the Assessment of Regional Education Standardization (ASPD) results among ninth-grade students in public junior high schools in Yogyakarta City. Using a quantitative survey approach, the study involved 871 students selected through stratified random sampling based on the TPM stage 1 test scores from schools categorized into high, medium, and low strata for the 2022/2023 academic year. Data were collected using a questionnaire instrument, validated by two expert validators, and construct validity was confirmed through standardized loading factors, showing all items to be valid. Reliability was measured using Cronbach's Alpha, yielding 0.508 for mindset and 0.724 for anxiety. Data analysis employed Structural Equation Modelling (SEM) in R Studio, with model fit assessed through RMSEA, GFI, AGFI, and CFI criteria. Results revealed that the mindset measurement model demonstrated an excellent fit, and the anxiety measurement model also fit the data well after minor modifications. Structural model testing confirmed a good overall fit. Findings indicated that anxiety directly influenced ASPD achievement, with higher anxiety associated with lower results. Mindset did not have a direct effect on ASPD outcomes but negatively influenced anxiety, meaning a stronger growth mindset led to lower anxiety levels. Furthermore, mindset indirectly affected ASPD achievement through its impact on anxiety, demonstrating that fostering a growth mindset can enhance students’ performance by reducing anxiety.
Path Analysis of Teachers’ Cognitive Activation and Students’ Mathematics Achievement in PISA 2022 Indonesia Earthadara, Salma Calista; Kismiantini
Jurnal Riset Pendidikan Matematika Vol. 12 No. 2 (2025): November 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jrpm.v12i2.84865

Abstract

PISA 2022 data show that Indonesian students’ mathematics performance remains low, with an average score of 366 and ranking 70th out of 81 participating countries. This highlights the need to identify factors influencing students’ mathematics achievement. Based on the teaching quality framework, cognitive activation is considered the most influential dimension in improving mathematics performance because it encourages students to think deeply, reason conceptually, and solve complex problems, beyond the effects of teacher support or classroom management. Previous studies mainly examined direct relationships among variables, while this study adds the mediating roles of disciplinary climate, teacher support, and proactive mathematics behavior as a form of contextual adaptation. This quantitative study used data from PISA 2022 Indonesia involving 13,439 students from 410 schools, with 12,209 students providing complete responses. Data were analyzed using a path mediation model based on structural equation modeling (SEM) with maximum likelihood estimation, and standard errors were obtained from 1,000 bootstrap samples. Model validation was conducted through confirmatory factor analysis, showing good model fit with CFI > 0.90 and RMSEA < 0.08. The results indicate that cognitive activation and gender have both direct and indirect effects on mathematics achievement through disciplinary climate and proactive behavior. Socioeconomic and cultural status also influence achievement through proactive mathematics behavior. Male students scored lower in disciplinary climate, proactive behavior, and mathematics performance compared to female students. These findings emphasize the importance of cognitively activating instruction and teacher capacity-building policies to foster disciplined, supportive learning environments that enhance students’ mathematical reasoning.
Multilevel modeling of the impact of bullying on Indonesian students' mathematics achievement based on PISA 2022 Data Sukowati, Diah; Kismiantini, Kismiantini
Indonesian Journal of Science and Mathematics Education Vol. 8 No. 3 (2025): Indonesian Journal of Science and Mathematics Education
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijsme.v8i3.26670

Abstract

Bullying in schools negatively affects students' psychological well-being and academic performance. Despite anti-bullying policies, bullying remains prevalent in Indonesia, impacting students' mathematics achievement. This study examines the impact of different types of bullying on Indonesian students' mathematics achievement using Program for International Student Assessment (PISA) 2022 data through a multilevel modeling approach. Multilevel modeling is used to analyze the hierarchical effects of physical, verbal, and relational bullying on students' mathematics scores, considering socioeconomic and school-level factors. Physical bullying significantly lowers mathematics achievement by reducing concentration and motivation. Verbal bullying, however, is linked to higher scores as students strive to prove themselves. Relational bullying has no significant effect. Socioeconomic status and family support positively influence achievement, while school location also plays a role. Schools must strengthen anti-physical bullying programs to mitigate its negative academic impact. This research has implications for understanding the nuanced effects of bullying, which can help policymakers design targeted interventions to foster safer and more supportive learning environments, ultimately improving students' academic outcomes.
Analisis butir soal tes literasi matematika dan efikasi diri peserta didik Nanda, Eka Mega; Kismiantini , Kismiantini; Arliani , Elly
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 11 No 2 (2025): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v11i2.27281

Abstract

This study aims to analyze the quality of daily test items and non-test instruments (questionnaires) on Two-Variable Linear Equation Systems in junior high school, in terms of validity, reliability, discrimination power, and difficulty level. The method used was descriptive analysis with 64 eighth-grade students (academic year 2024/2025) as subjects. The findings show that all instruments are valid (essays are very high, multiple-choice questions and questionnaires are high), but the reliability of exam questions (essays and multiple-choice questions) is still in the moderate category. Further analysis of multiple-choice questions shows a predominance of easy difficulty levels (92%) and a number of items (25%) with poor discrimination power, indicating the need for item revision.
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.
Analisis Kualitas Tidur Penduduk Usia Produktif di Indonesia dengan Model Regresi Logistik Ordinal Nadiya Azhar Mufid; Kismiantini Kismiantini
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.86659

Abstract

The prevalence of poor sleep quality in the productive age population in Indonesia is quite high. This study aims to analyze factors that influence the sleep quality level of the productive age population in Indonesia by an ordinal logistic regression model based on the Fifth Indonesian Family Life Survey (IFLS5). In this study, the response variable used is sleep quality with an ordinal scale of 5 categories and 12 predictor variables with 1 continuous predictor variable that is age and 11 categorical predictors including education, job status, smoking habit, health, gender, marital status, physical activity, religious, depression level, life satisfaction, and economic level with data of 28.743 respondents. The results of this study indicated that the ordinal logistic regression model with proportional odds model was more suitable to be used to analyze the sleep quality level of productive age population in Indonesia than non-proportional odds model. Based on the analysis result, it was found that among 12 predictor variables, variables that had a significant effect on sleep quality level were education, job status, smoking habit, health, age, depression level, life satisfaction, and economic.Keywords: IFLS, sleep quality, ordinal regression, productive age population 
Peningkatan Literasi Statistik Melalui Workshop Analisis Regresi Linier Menggunakan Software JASP Subekti, Retno; Kismiantini; Brilliant, Indira Ihnu; Ratnasari, Andika Putri; Atikah, Farahhuda
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 1 (2026): Edisi Januari - Maret
Publisher : Lembaga Dongan Dosen

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Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi statistik bagi dosen dan mahasiswa melalui pelatihan analisis regresi linier menggunakan software statistik yang gratis yaitu JASP. Kegiatan dilaksanakan pada tanggal 7–8 Oktober 2025 di Program Studi Demografi dan Pencatatan Sipil UNS secara luring dan daring.  Metode pelaksanaan mencakup ceramah, demonstrasi, dan praktik langsung dengan studi kasus. Hasil evaluasi menunjukkan bahwa seluruh peserta mengalami peningkatan pemahaman, dengan 42,33% peserta menyatakan sangat setuju dan 57,77% menyatakan setuju bahwa peserta memahami materi analisis regresi linier sederhana dan berganda menggunakan JASP. Kegiatan ini memberikan kontribusi positif terhadap peningkatan kemampuan analisis data berbasis software statistik bebas lisensi
Analisis faktor-faktor kesejahteraan sosial yang memengaruhi capaian membaca siswa Indonesia pada PISA 2018 menggunakan pemodelan multilevel Mustaqimah, Dayyinah; Kismiantini, Kismiantini
Jurnal Statistika dan Sains Data Vol 3, No 1 (2025): Jurnal Statistika dan Sains Data
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jssd.v3i1.24698

Abstract

Berdasarkan laporan OECD 2023, capaian membaca siswa Indonesia memiliki nilai yang relatif rendah dengan skor 359, nilai ini berada di bawah rata-rata dunia yang berada pada skor 476. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi capaian membaca siswa Indonesia terutama dari sudut pandang kesejahteraan sosial yang dirasakan oleh siswa menggunakan data PISA 2018 dengan sampel 11.392 siswa dari 395 sekolah. Analisis dilakukan dengan model multilevel mencakup model null, model intersep acak, model slope acak, dan uji rasio likelihood guna memeroleh model terbaik. Variabel dependen dalam penelitian ini adalah capaian membaca siswa Indonesia dengan variabel independen level siswa meliputi jenis kelamin, status sosial ekonomi dan budaya, rasa memiliki di sekolah, dukungan guru, serta paparan terhadap bullying, dan pada level sekolah meliputi tipe sekolah, kedisiplinan dalam pembelajaran membaca, serta pembelajaran berbasis inkuiri. Dari model null diketahui bahwa 55% variansi capaian membaca dijelaskan oleh level sekolah dan 45% dijelaskan oleh level siswa, sehingga mendukung penggunaan model multilevel. Model terbaik adalah model slope acak yang dimana semua variabel independen pada kedua level terbukti signifikan memengaruhi capaian membaca siswa Indonesia
Co-Authors Adi Cilik Pierewan Agustina, Tri Rahayu Ariyadi Wijaya Atikah, Farahhuda Bayutama Isnaini Bayutama Isnaini Brilliant, Indira Ihnu DHEWI, OKTIVA RAHMAWATI Dhoriva Urwatul Wustqa Dhoriva Urwatul Wutsqa Earthadara, Salma Calista Elly Arliani Endang Listyani Eva Fridiyani Putri Ezra Putranda Setiawan Fajar Ediyanto Fani Yunida Anggraheni Gunandi, Afriadi Hery Nugroho, Hery Hilmi, Irfan Husniyah, Fajra Inayati, Syarifah Isnaini, Bayutama Khariyani, Angeliya Milla Langiran, Andriati Latifah, Ayustina Intan Mathilda Susanti Montesinos-López, Osval A. Montesinos-Lopez, Osval Antonio Muhammad Fauzan Muhammad Fauzan Mustaqimah, Dayyinah Nadiya Azhar Mufid Nanda, Eka Mega Nikenasih Binatari Ningsih, Rr Putri Nadia Nur'aini, Rizky Osval A. Montesinos- López Osval Antonio Montesinos-Lopez Permana, Ryan Sidiq Putri Puspita sari Putri Yuniar Radite, Ramadian Ratnasari, Andika Putri Retno Subekti Rosita Kusumawati Sahid Sahid Sahid Sahid Sugiman Sugiman Sukowati, Diah Viryanto, Ferdy Agus Wirnaning Rokhimah Yosica Nadilla Zahara