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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 Science and Mathematics Education Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Southeast Asian Mathematics Education Journal Prosiding Seminar Nasional Official Statistics Jurnal Natural 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
Statistics Study Program, 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 Immunology & microbiology Mathematics Neuroscience Physics Social Sciences Other

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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.
IDENTIFIKASI RISIKO SPASIAL BERDASARKAN JENIS KELAMIN PADA PENYAKIT TUBERKULOSIS DENGAN BAYESIAN SHARED COMPONENT RANDOM INTERCEPT DI WILAYAH JAWA BARAT Khariyani, Angeliya Milla; Kismiantini, Kismiantini
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.v2i1.20615

Abstract

Pada tahun 2020, Provinsi dengan angka kasus Tuberkulosis tertinggi yaitu Provinsi Jawa Barat dengan total kasus mencapai 79.840 jiwa, dengan persentase kasus laki-laki sebesar 55,04% sedangkan perempuan sebesar 44,96%. Tujuan penelitian ini adalah untuk mengetahui risiko relatif kasus Tuberkulosis laki-laki dan perempuan dengan menggunakan metode Bayesian Shared Component Random Intercept dan juga untuk mengetahui penyebaran nilai risiko relatif di setiap wilayah di Provinsi Jawa Barat dengan peta spasial. Bayesian Shared Component Random Intercept dapat menghitung nilai risiko relatif dengan memperhatikan efek spasialnya, hal tersebut berkesuaian dengan tujuan penelitian ini maka dari itu metode ini cocok digunakan dalam penelitian ini. Hasil yang diperoleh menunjukkan kemiripan pola spasial antara Tuberkulosis laki-laki dan Tuberkulosis Perempuan berdasarkan nilai delta yang diperoleh. Hal tersebut berkesesuaian dengan hasil peta spasial kedua jenis kelamin yang terlihat memiliki pola sebaran yang hampir sama dan juga nilai rata-rata risiko relatif Tuberkulosis antara laki-laki dan perempuan yang hampir sama yaitu untuk laki-laki sebesar 1,0403 sedangkan untuk perempuan yaitu 1,0413.
Teacher Competencies, The Shortage of School Resources and Mathematics Achievement Based on PISA 2018 Indonesia Hilmi, Irfan; Kismiantini
Mathematics Education Journal Vol. 18 No. 2 (2024): Jurnal Pendidikan Matematika
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jpm.v18i2.pp245-258

Abstract

Investigating the low mathematics scores of Indonesian students on the PISA assessment can be done by examining the influence of measured predictors, including teacher competence and school resources that have not attracted the attention of Indonesian mathematics education researchers. The research focused on the effect of teacher competencies and the shortage of school resources on students’ mathematics achievement. Secondary data were retrieved from the official PISA website, involving 9,721 students aged 13-15 years from 332 schools after deleting the missing data. All students and schools were recruited using a stratified-two stage sample design and did not meet the exclusion criteria. Multilevel analysis was used to determine the significance of predictors of interest on students’ mathematics achievement. The analysis showed that adaptive teaching, teacher emotional support and teacher enthusiasm contributed to increase students’ mathematics achievement while teacher feedback and the shortage of school resources significantly decreased students’ mathematics achievement. These findings can assist policymakers in setting educational priorities especially related to what teacher competencies should be developed and procurement of school resources.
Mathematics-Anxiety and Self-Efficacy of Junior High School Students: Is There a Gender Gap? Nugroho, Hery; Sugiman, Sugiman; Kismiantini, Kismiantini
Southeast Asian Mathematics Education Journal Vol 15, No 1 (2025)
Publisher : SEAMEO Regional Centre for QITEP in Mathematics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46517/seamej.v15i1.440

Abstract

Several studies have attempted to investigate the influence of gender differences on aspects of mathematics-anxiety (MA) and self-efficacy (SE) at various levels of education. However, exploration focusing on junior high school students is still limited, so it is important to understand how these dynamics develop at that level of education. Therefore, to overcome the gap, this study aims to investigate the influence of gender differences on MA and SE junior high school students. The type of research used is quantitative research with a comparative causal method. The population is all students in grades VII, VIII, and IX in one of the private junior high schools in Central Java. The sample of this study is 79 students, consisting of 39 male students and 40 female students. The sampling technique is stratified random sampling with strata based on grade level (VII, VIII, IX). The data collection technique used a questionnaire about MA and SE. Data analysis techniques using Hotelling's T^2 to test the significance of the differences in MA and SE aspects based on gender simultaneously and the Independent Sample T-test to test the significance of gender differences in each variable separately. Hotelling's T^2 test showed a significant influence of gender differences on MA and SE simultaneously. The Independent Sample T-test found that the female group was more anxious than the male and there was no significant difference in their SE. Therefore, it can be concluded that there is a gender gap in MA, but not in SE.
Analisis Faktor-Faktor yang Memengaruhi Status Diabetes Mellitus pada Pra Lansia dan Lansia di Indonesia Menggunakan Model Regresi Logistik Biner Eva Fridiyani Putri; Kismiantini
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3319

Abstract

ABSTRAK Indonesia merupakan negara yang menempati urutan ke-5 dengan penderita diabetes mellitus sekitar 19,5 juta pada tahun 2021 berdasarkan laporan International Diabetes Federation 2021. Menurut publikasi BPS tahun 2022, sejak tahun 2021 Indonesia telah memasuki struktur penduduk tua, sekitar 1 dari 10 penduduk adalah lanjut usia (lansia). Penduduk Indonesia yang berusia antara 45-59 tahun termasuk kategori pra lansia dan di atas 60 tahun termasuk kategori lansia. Pada umumnya, penyakit yang dialami lansia merupakan penyakit tidak menular, seperti diabetes mellitus, jantung, dan hipertensi. Tujuan dari penelitian ini untuk mengetahui faktor risiko yang memengaruhi status diabetes mellitus (ya/tidak) pada pra lansia dan lansia menggunakan model regresi logistik biner. Analisis data menggunakan model regresi logistik biner karena variabel responsnya berupa biner. Hasil penelitian menunjukkan bahwa faktor risiko yang berpengaruh signifikan terhadap logit peluang menderita diabetes mellitus adalah variabel IMT (normal, gemuk, obesitas), tingkat pendidikan terakhir (tinggi), status sosial ekonomi subjektif (menengah), usia lansia, aktivitas fisik, hipertensi, mengonsumsi makanan manis, pemeriksaan kesehatan umum dan daerah tempat tinggal. Responden yang termasuk pada kategori lansia memiliki peluang lebih tinggi 1,383 kali untuk menderita diabetes mellitus dibandingkan dengan yang pra lansia. ABSTRACT Indonesia is a country that ranks 5th with around 19.5 million people with diabetes mellitus in 2021 based on the International Diabetes Federation 2021 report. According to the BPS publication in 2022, since 2021 Indonesia has entered an old population structure, about 1 in 10 residents are elderly (elderly). The Indonesian population aged between 45-59 years is categorized as pre-elderly and above 60 years is categorized as elderly. In general, diseases experienced by the elderly are non-communicable diseases, such as diabetes mellitus, heart disease, and hypertension. The purpose of this study is to determine the risk factors that affect diabetes mellitus status (yes / no) in pre elderly and elderly using a binary logistic regression model. The data was analysed using binary logistic regression model because the response variable is binary. The results showed that the risk factors that had a significant effect on the logit of the chances of suffering from diabetes mellitus were the IMT variable (normal, obese, obese), the last level of education (high), subjective socioeconomic status (medium), elderly age, physical activity, hypertension, consuming sweet foods, general health checks and the area of residence. Respondents who are in the elderly category have a higher chance of 1.383 times to suffer from diabetes mellitus compared to those who are pre-elderly.
How School Culture and Climate Mediated Student’s Mathematics Achievement: A Path Analysis of PISA 2022 Indonesia Data Latifah, Ayustina Intan; Kismiantini, Kismiantini
Jurnal Pendidikan Progresif Vol 15, No 3 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i3.pp1670-1687

Abstract

How School Culture and Climate Mediated Student’s Mathematics Achievement: a Path Analysis of PISA 2022 Indonesia Data. Indonesia’s declining mathematics performance in PISA 2022 highlights the need to examine key educational factors affecting student achievement. In the post-pandemic context, school culture and climate have become increasingly important in shaping learning outcomes. This study investigates how these factors mediate the effects of teacher support, gender, and socioeconomic and cultural status (ESCS) on students’ mathematics achievement. Objectives: This study aims to: (1) examine the effects of teacher support, gender, and socioeconomic and cultural status on school climate and culture indicators (bullying victimization, sense of belonging, feeling safe, and school safety risks); (2) assess the influence of these indicators on students’ mathematics achievement; (3) analyze the direct effects of the independent variables on mathematics achievement; and (4) evaluate the mediating role of school climate and culture in these relationships. Methods: This quantitative study used cross-sectional data from the PISA 2022 Indonesia dataset, comprising 12,491 students from 410 schools. Data were analyzed using a parallel multiple mediation model with path analysis, employing Maximum Likelihood estimation and nonparametric bootstraping with 1,000 replications. Findings: The results showed that all independent variables significantly affected all four indicators of school culture and climate. Bullying victimization, lack of feeling safe, and school safety risks had significant negative effects on math achievement, while a sense of school belonging had a significant positive effect. Teacher support and gender had significant negative effects on mathematics achievement, while socioeconomic and cultural status had significant positive effects. All mediating variables significantly mediated the relationships between the independent variables and math achievement. Conclusion: Interventions to improve math achievement should not rely solely on direct teacher support, but also prioritize building a positive school climate by strengthening students’ sense of belonging and reducing bullying as these are critical pathways influencing academic success. Keywords: PISA 2022, mathematics achievement, path analysis, mediation model.
Workshop Inferensi Statistik dengan Pendekatan Berbasis Simulasi Kismiantini, Kismiantini; Subekti, Retno; Brilliant, Indira Ihnu; Ratnasari, Andika Putri
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol. 9 No. 2 (2025): Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v9i2.83414

Abstract

Mata kuliah Statistika umumnya lebih fokus pada prosedur inferensi bagi parameter secara teoritis dan belum memperhatikan pendekatan berbasis simulasi. Pendekatan berbasis simulasi memiliki kelebihan tanpa adanya pemenuhan asumsi klasik. Di Program Studi Matematika Universitas Nusa Cendana, materi inferensi statistik dengan pendekatan berbasis simulasi masih belum diterapkan secara optimal sehingga kelompok dosen Statistika Universitas Negeri Yogyakarta melaksanakan kegiatan workshop inferensi statistik dengan pendekatan berbasis simulasi. Evaluasi kemampuan peserta dalam memahami dan menerapkan materi yang disampaikan diukur melalui 15 butir pernyataan dengan empat respons skala Likert (sangat setuju, setuju, tidak setuju, sangat tidak setuju). Berdasarkan kuesioner hari pertama (39 peserta memberikan respons lengkap), diperoleh rata-rata 38,10% peserta menjawab "˜sangat setuju', 61,54% "˜setuju', dan 0,37% "˜tidak setuju'. Kemudian kuesioner hari kedua (20 peserta memberikan respons lengkap), diperoleh hasil rata-rata 39,38% peserta menjawab "˜sangat setuju', 58,75% "˜setuju', dan 1,88% "˜tidak setuju'. Oleh karena itu, dapat disimpulkan bahwa mayoritas peserta dapat memahami materi workshop dan mengikuti pelatihan dengan baik.
Pelatihan Analisis Data Pendidikan dan Ilmu Sosial dengan Program JASP Kismiantini, Kismiantini; Ratnasari, Andika Putri; Nur'aini, Rizky
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol. 9 No. 2 (2025): Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v9i2.83501

Abstract

Pelatihan Analisis Data Pendidikan dan Ilmu Sosial dengan Program JASP bertujuan untuk meningkatkan pemahaman mahasiswa dan dosen dalam analisis data menggunakan JASP sebagai alternatif perangkat lunak statistik berbayar. Kegiatan ini dilaksanakan secara luring di Universitas Sarjanawiyata Tamansiswa (UST) dengan metode pemaparan materi, demonstrasi, dan latihan mandiri. Materi pelatihan mencakup pengoperasian dasar JASP, analisis deskriptif, visualisasi data, uji-t, analisis variansi (ANOVA), dan regresi linear. Hasil evaluasi menunjukkan bahwa sebelum pelatihan, 70,59% peserta belum pernah menggunakan JASP dan 82,35% tidak mengenal program ini. Setelah pelatihan, 62,06% peserta menyatakan mampu dan 33,53% sangat mampu menggunakan JASP dalam analisis data. Pelatihan ini juga mendorong penggunaan perangkat lunak open-source dalam dunia akademik. Kendala utama yang dihadapi adalah keterbatasan akses internet, yang menghambat instalasi program bagi beberapa peserta. Secara keseluruhan, pelatihan ini berhasil meningkatkan keterampilan analisis data peserta. Kedepannya, pelatihan serupa diharapkan dapat diperluas ke program studi lain dan diintegrasikan dalam kurikulum pembelajaran, guna mendukung pendidikan berbasis data di Indonesia.
ANALISIS FAKTOR – FAKTOR YANG MEMENGARUHI STATUS KESEHATAN ANAK PADA USIA PRA-SEKOLAH DI WILAYAH PEDESAAN MENGGUNAKAN MODEL REGRESI LOGISTIK BINER Ningsih, Rr Putri Nadia; Kismiantini, Kismiantini
Jurnal Kajian dan Terapan Matematika Vol 11, No 2 (2025): Jurnal Kajian dan Terapan Matematika (Juli)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jktm.v11i2.23590

Abstract

Kesehatan anak usia prasekolah penting untuk diperhatikan, terutama di wilayah pedesaan yang memiliki keterbatasan akses layanan kesehatan dan sanitasi yang layak. Penelitian ini bertujuan untuk menganalisis faktor – faktor yang memengaruhi status kesehatan anak pada usia prasekolah di wilayah pedesaan dengan model regresi logistik biner serta mengetahui faktor – faktor yang secara signifikan memengaruhi status kesehatan tersebut. Data dalam penelitian ini diperoleh dari Indonesian Family Life Survey (IFLS) gelombang ke-5 sebanyak 19.096 responden. Variabel penelitian yang digunakan adalah status kesehatan anak sebagai variabel respons dengan dua kategori (tidak sehat/sehat), sedangkan variabel prediktornya adalah jenis kelamin, status gizi, status pekerjaan ibu, pola makan anak dan sumber air minum. Estimasi parameter model regresi logistik biner menggunakan Maximum Likelihood Estimation (MLE), signifikansi parameter dilakukan secara simultan dan parsial. Proses analisis data dilakukan dengan bantuan software RStudio. Hasil penelitian menunjukkan bahwa faktor yang berpengaruh signifikan adalah jenis kelamin dan status pekerjaan ibu. Anak perempuan cenderung memiliki peluang sehat 1,49 kali lebih tinggi dibandingkan anak laki – laki, sementara anak yang memiliki ibu dengan status bekerja cenderung memiliki peluang sehat lebih rendah dibandingkan anak yang memiliki ibu dengan status tidak bekerja.
Factors affecting the happiness level in Southeast Asia countries with a multilevel approach DHEWI, OKTIVA RAHMAWATI; KISMIANTINI, KISMIANTINI
Jurnal Natural Volume 24 Number 1, February 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v24i1.36076

Abstract

The level of the populations well-being can be measured by using a subjective well-being indicator which is called happiness, which can be affected by various factors from individuals. However, the background of individuals in a group cannot be ignored. Therefore, this study aimed to determine the factors that affect the level of happiness in Southeast Asian countries at the individual and country levels. Data came from World Value Survey (WVS) Wave 7 with 11,387 individuals from the Philippines, Indonesia, Malaysia, Myanmar, Singapore, Thailand, and Vietnam. Data were analyzed using an ordinal response multilevel model with the level of happiness as a response variable. The results showed that the happiness level was affected by gender, marital status, health status, income, religiosity, education level, life satisfaction, and freedom of choice. However, age at the individual level and variables at the country level did not affect the happiness level.
Co-Authors Adi Cilik Pierewan Agustina, Tri Rahayu Ariyadi Wijaya Bayutama Isnaini Bayutama Isnaini Brilliant, Indira Ihnu DHEWI, OKTIVA RAHMAWATI Dhoriva Urwatul Wustqa Dhoriva Urwatul Wutsqa Endang Listyani Eva Fridiyani Putri Ezra Putranda Setiawan Ezra Putranda Setiawan Ezra Putranda Setiawan 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 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 Rosita Kusumawati Sahid Sahid Sahid Sahid Salma Calista Sugiman Sugiman Sukowati, Diah Viryanto, Ferdy Agus Wirnaning Rokhimah Yosica Nadilla Zahara