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All Journal Jurnal Inovasi Teknologi Pendidikan Academica : Journal of Multidisciplinary Studies BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Basicedu Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam GAUSS: Jurnal Pendidikan Matematika Educenter: Jurnal Ilmiah Pendidikan Jurnal Basicedu EDUCENTER JURNAL PENDIDIKAN
Giyanti, Giyanti
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Health Professions Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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TINDAK TUTUR ILOKUSI DALAM LIRIK LAGU ALBUM MONOKROM KARYA MUHAMMAD TULUS RUSDY Giyanti, Giyanti; Nurcahyo, Rizki Joko; Saputri, Diah Iskafatmawati
Academica : Journal of Multidisciplinary Studies Vol 3, No 1 (2019)
Publisher : IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.255 KB)

Abstract

This study aims to describe the forms of illocutionary speech acts classification in the lyrics of the song Monochrome album by Muhammad Tulus Rusdi. Illocutionary speech acts have a communicative function between the speaker and the interlocutor, so it is through this speech act that it can be known the message contained in the song lyrics delivered by Muhammad sincerely Rusdi to music lovers. The data source in this study is the song lyrics in the Monochrome Album by Muhammad Tulus Rusdy which consists of 10 songs: Strong Man, Farewell, Space Alone, Soul Swap, Infatuation, Light, Sky Gray, Masterpiece, and Hurry. This research uses a theoretical approach, which is a pragmatic approach. The method used in this research is descriptive qualitative. The technique used in this study is refer to and note. The results of the study showed that there were 96 data included in the action of the ilocuis speech. Illocutionary speech acts include (1) assertive speech acts, namely: notifying, stating, complaining, demanding, and suggesting. (2) directive speech acts, namely: asking, pleading, advising, commanding. (3) declarative speech acts, namely: naming. (4) expressive speech acts, namely praising and thanking. (5) commissive speech acts, namely promises. Keywords: illocution; song lyrics; monochrome; speech act; sincere
Pengaruh Model Pembelajaran Kooperatif Student Teams Achievment Devision (STAD) dan Rasa Percaya Diri Siswa terhadap Hasil Belajar Matematika Siswa SMA Giyanti, Giyanti
GAUSS: Jurnal Pendidikan Matematika Vol 1, No 1 (2018)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.094 KB) | DOI: 10.30656/gauss.v1i1.635

Abstract

This study aims to determine the effect of learning model on the mathematics learning outcomes of the students, knowing the influence of students' self-confidence in the results of learning mathematics. Furthermore, to determine the effect of learning models and students' self-confidence altogether to the result of learning mathematics. The research used is experimental method. The samples used from the affordable population taken from 34 people as the sample of the test instrument, and 68 people as the research sample using proportional random sampling technique from all grade X on SMA Negeri 3 Kabupaten Tangerang. The data were collected by giving the result of learning tests and questionnaires. The data analysis consists of testing the research instrument of validity, reliability, difficulty index, and distinguishing power*. Furthermore, there are the test of requirement analysis through normality and homogeneity test. The hypothesis tested by ANOVA 2 Lanes and Tukey. This study was conducted on February to May, 2017. Based on the results of the hypothesis and data analysis, it is concluded that the following things are: 1) There is an influence between the learning model on the learning outcomes of mathematics. 2) There is an influence between students' self-confidence on mathematics learning outcomes. 3) There is an interaction effect between learning methods and students' self-confidence on mathematics learning outcomes.
Korelasi Antara Konjektur dan Justifikasi Matematis terhadap Kemandirian Belajar Supriani, Yani; Sholahudin, Usep; Giyanti, Giyanti
Jurnal Basicedu Vol. 6 No. 5 (2022)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/basicedu.v6i5.3792

Abstract

Penelitian ini bertujuan untuk mengetahui hubungan antara dugaan atau konjektur dan justifikasi matematis terhadap kemandirian belajar pada mahasiswa pendidikan matematika semester V Universitas Serang Raya. Metode penelitian yang digunakan adalah korelasi dengan pendekatan kuantitatif. Teknik pengumpulan data variable konjektur dan justifikasi matematis dilakukan dengan menyebarkan angket dan kuesioner kepada 91 responden, sedangkan kemandirian belajar diperoleh dengan analisis data dari nilai mahasiswa. Dari hasil analisis data dapat disimpulkan bahwa 1) ada hubungan antara konjektur terhadap kemadirian belajar mahasiswa pendidikan matematika semester V di Universitas Serang Raya, 2) ada hubungan antara justifikasi matematis terhadap kemadirian belajar mahasiswa pendidikan matematika semester V di Universitas Serang Raya, 3) ada hubungan antara konjektur dan justifikasi matematis mahasiswa pendidikan matematika semester V di Universitas Serang Raya dalam pembelajaran logika dasar
Predicting Students Mathematical Decision Making Using k-Nearest Neighbor Technique Giyanti, Giyanti; Oktaviyanthi, Rina
Al-Khwarizmi : Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Vol. 12 No. 1 (2024): Al-Khwarizmi : Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam
Publisher : Prodi Pendidikan Matematika FTIK IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/jpmipa.v12i1.3669

Abstract

Abstract:Mathematical decision-making abilities are mathematical information processing through risk evaluation and investigation of various possibilities and perspectives. However, the evaluation of mathematical decision-making abilities is still limited to high, medium, and a low level based on test scores and is not predictive naturally. The purpose of this study is to identify the parameter k in the k-nearest neighbor technique, which serves as the nearest-neighbor value determining the mathematical decision-making abilities of students to be predicted. The process of data exploration to prediction is employed by the data mining approach with the k-Nearest Neighbor method. A total of 65 first-year students taking Calculus I included as research samples. The research results show that a parameter value of k=15 is better at predicting the closeness of the mathematical decision-making with an accuracy of 93.33%, associated with the excellent category. The parameter value representing the closeness of the decision-making abilities level among students serves as a reference for teacher predictions to categorize students and create diversified teaching materials. Abstrak:Kemampuan pengambilan keputusan matematis merupakan pemrosesan informasi secara matematis melalui evaluasi risiko dan penyelidikan berbagai kemungkinan dan sudut pandang. Namun, evaluasi kemampuan pengambilan keputusan matematis masih terbatas pada level tinggi, sedang dan rendah berdasarkan nilai tes, tidak bersifat prediktif. Penelitian ini bertujuan mengidentifikasi nilai parameter k dengan teknik k-nearest neighbor yang berperan sebagai nilai ketetanggaan terdekat dari kemampuan pengambilan keputusan matematis. Proses eksplorasi data hingga prediksi dilakukan menggunakan pendekatan data mining dengan metode k-Nearest Neighbor. Sebanyak 65 mahasiswa tahun pertama yang mengikuti Kalkulus I sebagai sampel penelitian. Hasil penelitian menunjukkan nilai parameter k=15 yang lebih mampu memprediksi kedekatan tingkat kemampuan pengambilan keputusan matematis dengan akurasi 93,33%, termasuk pada kategori excellent. Nilai parameter tersebut menjadi acuan prediksi pengajar untuk mengkategorikan mahasiswa dan membuat diversifikasi bahan ajar.
Korelasi Antara Konjektur dan Justifikasi Matematis terhadap Kemandirian Belajar Supriani, Yani; Sholahudin, Usep; Giyanti, Giyanti
Jurnal Basicedu Vol. 6 No. 5 (2022)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/basicedu.v6i5.3792

Abstract

Penelitian ini bertujuan untuk mengetahui hubungan antara dugaan atau konjektur dan justifikasi matematis terhadap kemandirian belajar pada mahasiswa pendidikan matematika semester V Universitas Serang Raya. Metode penelitian yang digunakan adalah korelasi dengan pendekatan kuantitatif. Teknik pengumpulan data variable konjektur dan justifikasi matematis dilakukan dengan menyebarkan angket dan kuesioner kepada 91 responden, sedangkan kemandirian belajar diperoleh dengan analisis data dari nilai mahasiswa. Dari hasil analisis data dapat disimpulkan bahwa 1) ada hubungan antara konjektur terhadap kemadirian belajar mahasiswa pendidikan matematika semester V di Universitas Serang Raya, 2) ada hubungan antara justifikasi matematis terhadap kemadirian belajar mahasiswa pendidikan matematika semester V di Universitas Serang Raya, 3) ada hubungan antara konjektur dan justifikasi matematis mahasiswa pendidikan matematika semester V di Universitas Serang Raya dalam pembelajaran logika dasar
Factor analysis of algebraic thinking skills: A case study on developing area model algebra worksheet based on PhET Interactive Simulation Giyanti, Giyanti; Artasari, Adika; Oktaviyanthi, Rina; Husain, Sharifah Kartini Said
Jurnal Inovasi Teknologi Pendidikan Vol 11, No 4 (2024): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v11i4.79362

Abstract

Algebraic thinking is a vital skill in mathematics education, enabling students to generalize patterns, decompose expressions, and apply mathematical models in real-world contexts. However, students often struggle to connect abstract algebraic concepts to practical, real-world problems, which limits their ability to apply these skills effectively. This study aims to uncover the latent structures underlying students' algebraic thinking skills through Exploratory Factor Analysis (EFA). Data were collected from 60 junior high school students in Serang, Banten, who completed worksheets assessing five indicators of algebraic thinking: X1 (Generalization – Decomposing an expression), X2 (Generalization – Using area model), X3 (Transformational – Representing multiplication problem), X4 (Transformational – Strategies for multi-digit numbers), and X5 (Meta-global level – Using area model in real-world contexts), alongside algebraic thinking ability scores (Y). Using varimax rotation, the analysis identified two significant factors. The first, "Generalization and Area Model Application Capability," explained 31.118% of the variance, with high loadings for X2 (0.701) and X3 (0.724). The second, "Transformational Strategies in Multi-digit Numbers," accounted for 20.543% of the variance, with strong loadings for X1 (0.923) and X4 (0.631). Together, these factors explained 51.661% of the total variance. These findings underscore the importance of enhancing generalization skills through area models, including their application to real-world problems and strengthening transformational strategies for multi-digit operations. Incorporating interactive tools like PhET simulations may further support these cognitive processes. Future research should explore classroom implementation and its impact on students' long-term outcomes.
CLASSYFYING STUDENTS DECISION MAKING ABILITY USING K-NEAREST NEIGHBOR FOR DETERMINING STUDENTS SUPPLEMENTARY LEARNING Giyanti, Giyanti; Oktaviyanthi, Rina; Sholahudin, Usep
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (450.084 KB) | DOI: 10.30598/barekengvol17iss1pp0559-0570

Abstract

Mathematical decision-making ability is a complex cognitive process of finding problems solutions which is continuously explored and optimized for undergraduate students. The current research only focus on categorization on class score average into high, medium and low abilities. As a result, the lecturers do not have any standard categories to classify students’ abilities as a reference in planning supplementary learning that could optimize undergraduate students’ abilities. Therefore, the purpose of this study is to determine a classification model for undergraduate students' mathematical decision-making abilities that require supplementary learning based on the identification of the shortest distance of a new data from an existing data directory. The research method involved data mining techniques with the KNN classification model through the Knowledge Discovery in Database (KDD) process starting from data selection, pre-processing, transformation, data mining and interpretation/evaluation [1]. A total of 100 data were used as research samples which were divided into training data and testing data. Based on the test results, it is obtained that the accuracy of the classification model is 95% for the parameter value k = 15, meaning that each predicted testing data for the classification class is close to the actual condition with the number of neighbors 15 data from the training data.
RME-based e-worksheets with Liveworksheet: A tool to enhance mathematical conjecturing abilities in statistics learning Supriani, Yani; Giyanti, Giyanti
Educenter : Jurnal Ilmiah Pendidikan Vol. 4 No. 3 (2025): Educenter: Jurnal Ilmiah Pendidikan (In progress)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v4i3.1693

Abstract

This research is motivated by the low ability of students to make mathematical conjectures in statistics learning, especially on the topic of measures of central tendency, which is caused by the lack of interactivity and student involvement in mathematics learning. To overcome this, the study aims to develop and analyze the effectiveness of Electronic Student Worksheets (E-LKPD) based on Realistic Mathematics Education (RME) with Liveworksheet as an interactive learning medium. This study uses a research and development method (R&D) with a quasi-experimental design. The subjects of the study were seventh-grade junior high school students who participated in statistics learning. Data were collected through a mathematical conjecture ability test, observation of student engagement, and a questionnaire of student responses to the learning medium. The results showed that E-LKPD based on RME with Liveworksheet significantly improved students’ mathematical conjecture abilities, as evidenced by the increase in average scores before and after the use of the media. In addition, students showed high enthusiasm and active involvement during the learning process. In conclusion, the use of E-LKPD based on RME with Liveworksheet is effective as a tool to improve mathematical conjecture abilities in statistics learning, while increasing student motivation and participation.
RME-based e-worksheets with Liveworksheet: A tool to enhance mathematical conjecturing abilities in statistics learning Supriani, Yani; Giyanti, Giyanti
Educenter : Jurnal Ilmiah Pendidikan Vol. 4 No. 3 (2025): Educenter: Jurnal Ilmiah Pendidikan (In progress)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v4i3.1693

Abstract

This research is motivated by the low ability of students to make mathematical conjectures in statistics learning, especially on the topic of measures of central tendency, which is caused by the lack of interactivity and student involvement in mathematics learning. To overcome this, the study aims to develop and analyze the effectiveness of Electronic Student Worksheets (E-LKPD) based on Realistic Mathematics Education (RME) with Liveworksheet as an interactive learning medium. This study uses a research and development method (R&D) with a quasi-experimental design. The subjects of the study were seventh-grade junior high school students who participated in statistics learning. Data were collected through a mathematical conjecture ability test, observation of student engagement, and a questionnaire of student responses to the learning medium. The results showed that E-LKPD based on RME with Liveworksheet significantly improved students’ mathematical conjecture abilities, as evidenced by the increase in average scores before and after the use of the media. In addition, students showed high enthusiasm and active involvement during the learning process. In conclusion, the use of E-LKPD based on RME with Liveworksheet is effective as a tool to improve mathematical conjecture abilities in statistics learning, while increasing student motivation and participation.
Co-Authors Artasari, Adika Husain, Sharifah Kartini Said Nurcahyo, Rizki Joko Rina Oktaviyanthi, Rina Saputri, Diah Iskafatmawati Supriani, Yani Usep Sholahudin, Usep