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All Journal JPPM (JURNAL PENELITIAN DAN PEMBELAJARAN MATEMATIKA) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Kognitif: Jurnal Riset HOTS Pendidikan Matematika Sciencestatistics: Journal of Statistics, Probability, and Its Application
Indah Suciati
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Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL MATEMATIKA PADA OPERASI HITUNG PECAHAN PADA SISWA KELAS V SDN PENGAWU Indah Suciati; Dewi Sri Wahyuni
JPPM (Jurnal Penelitian dan Pembelajaran Matematika) Vol 11, No 2 (2018): JPPM (Jurnal Penelitian dan Pembelajaran Matematika) Volume 11 Nomor 2 Agustus
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.278 KB) | DOI: 10.30870/jppm.v11i2.3760

Abstract

This research aims to describe and analyze students' errors in solving the problem on the matter of fractional counting operations. The type of research used is descriptive explorative research with mixed methods. The population of this research is the students of grade V SDN Pengawu with the number of research subjects of 35 students. The results obtained that the concept error on fractional counting operations amounted to 53.86%, principal errors of 41.22%, and error calculation of 4.92%. For fractional addition operations, concept errors of 80.70%, principal errors of 13.16%, and calculation errors of 6.15%. For reduction operations, concept errors of 44.53%, principal errors of 49.92%, and calculation errors of 6.25%. For multiplication operations, concept errors are 50.00%, principal errors of 45.59%, and calculation errors of 4.42%. For fractional division operations, concept errors of 40.17%, principal errors of 57.26%, and calculation errors of 2.57%. Keywords:  analysis of errors, concepts, principles, calculations, fractional counting operations.
Mathematics Learning Innovation During the Covid-19 Pandemic in Indonesia: a Systematic Literature Review Indah Suciati; Dewi Sri Wahyuni; Nurhalida Sartika
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 7, No 4 (2021): December
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2070.358 KB) | DOI: 10.33394/jk.v7i4.3833

Abstract

The purpose of this study is to analyze mathematics learning innovations during the Covid-19 pandemic in Indonesia. The research method used is Systematic Literature Review. Data collection was carried out by documenting and reviewing articles related to learning mathematics during the Covid-19 pandemic which were published in the 2020-2021 period in national journals. The data analysis technique used refers to the interactive model by Miles & Huberman which consists of 4 stages, namely data collection, data reduction, data presentation, and drawing conclusions. These findings indicate that (1) Mathematics learning innovation during the Covid-19 pandemic in Indonesia can be done online, offline, or blended learning. The implementation is by means of E-learning, the use of software, the use of learning media, or the use of innovative, effective, and creative models, approaches, and learning methods such as blended learning which are considered in accordance with the conditions and obstacles faced by educators and students, (2) Mathematics learning assessments can be carried out using online, manual, or blended learning-based assessments, (3) The obstacles faced during the Covid-19 pandemic are in the form of unsupported learning facilities and infrastructure, teacher competence and readiness that is not possible, psychological and low ability of students, assessment of learning outcomes that do not go well and is not comprehensive in all areas, lack of cooperation and family awareness, and abstract mathematical objects.
Perbandingan Estimator Robust Huber dan Tukey’s Biweight terhadap Berbagai Skema Pencilan dalam Regresi Linier Linda Rassiyanti; Indah Suciati; Vina Nurmadani; Yoga Aji Sukma
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 3 No. 2 (2025): JULY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v3i2.9630

Abstract

Regresi linier secara umum menggunakan pendekatan Ordinary Least Squares (OLS) namun sering kali mengalami gangguan ketika data mengandung pencilan (outlier), yang dapat menyebabkan estimasi parameter menjadi bias dan tidak akurat. Regresi robust dikembangkan untuk mengatasi kelemahan OLS dengan menurunkan sensitivitas terhadap pencilan. Terdapat dua fungsi kerugian yang sering digunakan dalam regresi robust, yaitu Huber Loss dan Tukey’s Biweight Loss. Penelitian ini bertujuan untuk membandingkan performa dua metode regresi robust, yaitu Huber Loss dan Tukey’s Biweight, dalam menghadapi berbagai skema pencilan. Data simulasi dibangkitkan dengan parameter intersep dan slope masing-masing sebesar 3 dan 2, kemudian ditambahkan pencilan secara sistematis pada variabel X, Y, maupun keduanya, dengan proporsi 10%, 20%, dan 30%. Hasil analisis menunjukkan bahwa Tukey’s Biweight memberikan estimasi parameter yang lebih stabil pada kondisi pencilan ekstrem, terutama saat pencilan terjadi pada variabel Y atau kombinasi X dan Y. Sedangkan, Huber Loss cenderung menghasilkan Mean Squared Error (MSE) yang lebih rendah dalam beberapa kondisi, mencerminkan adanya trade-off antara bias dan variansi. Dengan demikian, Tukey’s Biweight lebih cocok untuk pencilan ekstrem, sedangkan Huber Loss lebih efisien dalam kondisi pencilan ringan hingga sedang. Linear regression, commonly estimated using the Ordinary Least Squares (OLS) method, is known for its sensitivity to outliers, which can lead to biased and inefficient parameter estimates. Robust regression was developed to overcome the weaknesses of OLS by reducing sensitivity to outliers. Two commonly used loss functions in robust regression are Huber Loss and Tukey’s Biweight Loss. This study aims to compare the performance of these two robust regression methods—Huber Loss and Tukey’s Biweight—in handling various outlier scenarios. Simulated data were generated with intercept and slope parameters set at 3 and 2, respectively, and outliers were systematically introduced to the X variable, the Y variable, or both, in proportions of 10%, 20%, and 30%. The analysis results indicate that Tukey’s Biweight provides more stable parameter estimates under extreme outlier conditions, especially when outliers occur in the Y variable or in both X and Y. Meanwhile, Huber Loss tends to yield lower Mean Squared Error (MSE) in certain conditions, reflecting a classic trade-off between bias and variance. Therefore, Tukey’s Biweight is more suitable for extreme outliers, whereas Huber Loss is more efficient under mild to moderate outlier conditions.
Optimizing Breast Cancer Prediction by Applying Machine Learning Vina Nurmadani; Indah Suciati; Yoga Aji Sukma; Linda Rassiyanti
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 3 No. 2 (2025): JULY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v3i2.9667

Abstract

In 2015, breast cancer ranked among the most prevalent and fatal cancers affecting women globally. Artificial intelligence is urgently needed to help medical professionals make more accurate decisions, reduce overdiagnosis, and streamline the diagnostic process. This study will implement and perform a comparative study of selected machine learning techniques algorithms, with a focus on SVM, XGBoost, and ANN, with various parameter combinations on the breast cancer dataset. Performance metrics such as accuracy, precision, recall, and F1-score were employed to evaluate and compare the algorithms. The results of this study show that the best model for predicting chronic breast cancer disease, which can help medical professionals predict chronic disease so that it can be treated quickly and accurately, is the SVM method using 8 parameters without the mitosis parameter: Clump thickness, Cell Size Uniformity, Cell Shape Uniformity, Marginal Adhesion, Single Epithelial Cell Size, Bare Nuclei, Bland Chromatin, and Normal Nuclei, with an accuracy value of 0.96 and a sensitivity value of 0.98.
Permainan “Ular Tangga Matematika” Pada Materi Bilangan Pecahan Indah Suciati
Kognitif: Jurnal Riset HOTS Pendidikan Matematika Vol. 1 No. 1 (2021): January - June 2021
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/kognitif.v1i1.5

Abstract

Permainan ular tangga merupakan salah satu permainan tradisional yang telah dikenal sejak lama. Permainan ini sangat menyenangkan dan menarik minat peserta didik ketika diterapkan dalam proses pembelajaran di kelas. Tujuan dari penelitian ini ialah untuk melakukan kajian literatur tentang penggunaan media permainan “ular tangga” pada pembelajaran matematika. Metode penelitian ini merupakan metode SLR (Systematic Literature Review). Pengumpulan data dilakukan dengan cara mendokumentasikan dan mereview semua artikel yang terkait dengan penggunaan media permainan ular tangga pada pembelajaran matematika yang diterbitkan dalam kurun waktu 2013-2020. Artikel yang digunakan dalam penelitian ini berjumlah lima belas (15). Artikel tersebut diterbitkan pada jurnal nasional yang dapat diakses dan diunduh dalam database online Google Scholar yang kemudian dikelompokkan dan dianalisis. Hasil penelitian merupakan pembahasan mengenai temuan yang tersaji di dalam artikel. Berdasarkan penelitian yang dilakukan, maka hasil penelitian ini menunjukkan beberapa temuan yaitu: (1) penggunaan media permainan ular tangga dalam proses pembelajaran terbukti berpengaruh dan efektif dapat meningkatkan hasil belajar matematika peserta didik, (2) penerapan media permainan ular tangga terbukti efektif dan memiliki dampak positif terhadap keaktifan peserta didik dalam mengikuti pembelajaran matematika, (3) penggunaan media permainan ular tangga terbukti dapat mengembangkan dan meningkatkan kemampuan matematis peserta didik dalam mengikuti proses pembelajaran matematika di kelas, dan (4) penerapan media permainan ular tangga terbukti berpengaruh dan dapat meningkatkan motivasi peserta didik dalam mengikuti proses pembelajaran matematika di dalam kelas.
Co-Authors Dewi Sri Wahyuni Dewi Sri Wahyuni Linda Rassiyanti Nurhalida Sartika Vina Nurmadani Yoga Aji Sukma