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Measurement of Mathematical Literacy in Everyday Life Context: A Case Study on High School Students Reviewed by Gender Aulia, Hartika; Mandailina, Vera; Mahsup, Mahsup; Syaharuddin, Syaharuddin; Rini, Widia; Sahraini, Alfiana
AlphaMath : Journal of Mathematics Education Alphamath: Vol. 10, No. 1, May 2024
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Purwokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/alphamath.v10i1.21083

Abstract

This research aims to measure the level of mathematical literacy in the context of daily life among high school students, with a focus on differences between male and female students. The research method employed is quantitative with a survey approach. A total of 13 male students and 24 female students from various high schools participated as subjects. The instrument used was a Likert scale questionnaire consisting of 15 statements designed to measure students' perceptions and understanding of mathematical literacy in everyday life. Data analysis was conducted using the paired sample t-test to compare differences in responses between male and female students. The analysis results showed a paired sample t-test value of -0.368, with a significance value (sig) of 0.719. These findings indicate that there is no significant difference between the responses of male and female students regarding mathematical literacy in the context of daily life. Nevertheless, this research provides an important contribution to understanding students' perceptions of mathematical literacy and its implications in the educational context. Further research can delve into the factors influencing students' perceptions of mathematical literacy and broaden the sample scope to obtain a more holistic understanding of the phenomena under investigation.
INOVASI DALAM PENDIDIKAN: OPTIMALISASI PENGGUNAAN PROMPT CHATGPT UNTUK MENDUKUNG PEMBELAJARAN SISWA DI MADRASAH ALIYAH Mandailina, Vera; Syaharuddin, Syaharuddin; Muhamad, Muhamad; Arif, April Mulyanas; Saputra, Andi; Ratnasari, Desi; Aryani, Nofi; Hadawiyah, Roqib Atul; Hartoyo, Servasius
Jurnal Abdimas Bina Bangsa Vol. 6 No. 1 (2025): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v6i1.1446

Abstract

ChatGPT has emerged as a crucial tool in educational settings, necessitating students to develop proficiency in its use. This program aimed to enhance the knowledge and skills of MA students in utilizing ChatGPT prompts as an essential educational medium. A total of 30 students participated in the training, during which they were introduced to various AI tools, including ChatGPT, Gemini, and Perplexity. The training methodology combined theoretical instruction with practical sessions focused on the application of ChatGPT prompts to support learning processes. The effectiveness of the program was evaluated using questionnaires and observations. The results indicated a positive response from participants, with an average score of 86.4. Despite challenges such as limited time and weak internet connectivity, these issues were effectively managed and resolved promptly. Consequently, the optimization of ChatGPT prompts for enhancing learning in Madrasah Aliyah proved to be both effective and efficient.
Measuring the Difficulty Level of Mathematical Problems Based on Polya Criteria Nurhalimah, Atin; Mandailina, Vera; Mahsup; Syaharuddin
Journal of Education Reseach and Evaluation Vol 6 No 4 (2022): November
Publisher : LPPM Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jere.v6i4.46316

Abstract

Mathematics learning needs to be directed in understanding mathematical concepts and principles because it will be necessary for solving mathematical problems, problems in other disciplines, and problems in everyday life. But sometimes, we make mistakes both intentional and unintentional so that they will have an impact on the results of the mathematical problems we work on. Today many studies discuss the difficulty of students in solving math problems but there has been no research that discusses further the level of difficulty. This study aims to analyze the level of error students solve math problems according to Polya criteria, student errors based on education level, based on focus areas, and student errors based on other moderator variables. The method in this study uses meta-analysis. Data must meet the inclusion and exclusion criteria of indexing databases such as Scopus, DOAJ, WorldCat, Google Scholar, and Garuda Portal. The data was analyzed using JASP software. The results showed that of the 53 data that met the eligibility criteria obtained error rate information on criteria (1) understanding of problems by 37%, (2) devising a plan by 36%, (3) carrying out the plan by 36%, and (4) looking back by 44%. Based on the focus field focus obtained the RE Model for the highest error is in the case of number patterns when compared to algebraic and geometric cases.
The Role of Mathematics in Machine Learning for Disease Prediction: An In-Depth Review in the Healthcare Domain Abdillah; Syaharuddin Syaharuddin; Vera Mandailina; Saba Mehmood
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.845

Abstract

The rapid advancements in healthcare technologies and the increasing complexity of medical data have made it imperative to explore and optimize predictive models for disease management. This study aims to conduct a systematic literature review to identify advancements, challenges, and opportunities in disease prediction using machine learning (ML) within the healthcare domain. The literature sources include Scopus, DOAJ, and Google Scholar, covering the period from 2013 to 2024. The findings reveal that both machine learning (ML) and deep learning (DL) algorithms have significant potential for disease prediction and treatment outcomes in various clinical contexts. Algorithms such as Random Forest, Logistic Regression, and ensemble techniques like Boosting have demonstrated strong performance in numerous studies. However, the effectiveness of these algorithms is highly context-dependent, including the type of disease, patient characteristics, and available data. Deep learning, particularly Convolutional Neural Networks (CNNs) and hybrid Long Short-Term Memory (LSTM) models, excels in handling complex, high-dimensional data, providing higher prediction accuracy compared to traditional ML models. This research shows that deep learning models, especially CNN and hybrid LSTM, achieve higher accuracy in disease prediction compared to traditional ML models. However, challenges related to data quality, privacy, and the underlying mathematical modeling of these algorithms remain to be overcome for wider applications.
UJI HIPOTESIS MENGGUNAKAN SOFTWARE JASP SEBAGAI UPAYA PENINGKATAN KEMAMPUAN TEKNIK ANALISA DATA PADA RISET MAHASISWA Mandailina, Vera; Pramita, Dewi; Syaharuddin, Syaharuddin; Ibrahim, Ibrahim; Nurmiwati, Nurmiwati; Abdillah, Abdillah
JCES (Journal of Character Education Society) Vol 5, No 2 (2022): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jces.v5i2.6109

Abstract

Abstrak: Kemampuan mahasiswa dalam melakukan analisis data dan interpretasi output software uji hipotesis menjadi penting untuk ditingkatkan karena menjadi kebutuhan dalam menyelesaikan tugas akhir (skripsi). Software yang digunakan juga seharusnya mudah diperoleh, digunakan, dan dioperasikan oleh mahasiswa. Oleh sebab itu, tujuan kegiatan ini adalan mengenalkan software Jeffreys’s Amazing Statistics Program (JASP) kepada mahasiswa yang memiliki fitur lebih lengkap dibandingkan software statistics lainnya. Kegiatan dilakukan dua tahap yakni (10 penyampaian materi uji hipotesis penelitian kuantitatif dan (2) praktik software JASP. Hasil evaluasi menggunakan angket menunjukkan bahwa 26 peserta memiliki tingkat pemahaman sebesar 83,21% yang berarti sangat baik.Abstract:  The ability of students in conducting data analysis and interpretation of the output of hypothesis test software becomes important to be improved because it becomes a necessity in completing the final task (thesis). The software used should also be easy to obtain, use, and operate by students. Therefore, the purpose of this activity is to introduce Jeffreys's Amazing Statistics Program (JASP) software to students who have more complete features than other statistical software. The activity is carried out in two stages, namely (1) explain of quantitative research hypothesis test material and (2) JASP software practice. The results of the evaluation using questionnaire showed that 26 participants had an understanding level of 83.21% which means very good
Menemukan Topik yang Relevan dan Cara Cerdas Menyusun Introduction yang Berkualitas: Sebuah Pengabdian Masyarakat Syaharuddin; Mandailina, Vera; Abdillah, Abdillah
Kreasi: Jurnal Inovasi dan Pengabdian kepada Masyarakat Vol. 5 No. 1 (2025): April
Publisher : BALE LITERASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kreasi.v5i1.1168

Abstract

Peningkatan keterampilan menulis akademik bagi para pendidik sangat penting untuk mendukung kualitas pendidikan dan pengajaran yang lebih baik. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan keterampilan menulis guru-guru SMP di Lombok Tengah, Nusa Tenggara Barat (NTB) sebanyak 12 guru, serta menyusun pendahuluan artikel akademik yang menarik dan efektif. Evaluasi dilakukan melalui observasi dengan indikator keberhasilan berupa kemampuan peserta dalam menemukan topik dan menyusun pendahuluan artikel akademik. Hasil yang dicapai menunjukkan bahwa 83,3% peserta berhasil meningkatkan keterampilan mereka dalam menyusun pendahuluan artikel akademik dengan baik, sementara sisanya menunjukkan kemampuan yang cukup baik. Temuan ini mengindikasikan bahwa program pengabdian ini efektif dalam meningkatkan keterampilan menulis peserta, khususnya dalam menyusun pendahuluan yang relevan dan berkualitas.
Peran Dosen dan Dinamika Lingkungan Kelas dalam Meningkatkan Resiliensi Matematika Mahasiswa Mandailina, Vera; Syaharuddin, Syaharuddin
Pi: Mathematics Education Journal Vol. 8 No. 1 (2025): April
Publisher : Program Studi Pendidikan Matematika Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/pmej.v8i1.11110

Abstract

Penelitian ini bertujuan untuk mengeksplorasi peran interaksi antara dukungan dosen dan lingkungan kelas terhadap ketahanan matematika siswa. Penelitian ini merupakan kualitatif dengan pendekatan systematic literature review. Sumber data dari basis data ilmiah meliputi Scopus, DOAJ, dan Google Scholar dengan memilih terbitan 10 tahun terakhir. Hasil sintesis pada 16 artikel yang sesuai kriteria kelayakan menunjukkan bahwa dukungan dosen yang efektif mencakup pembimbingan, perhatian terhadap kebutuhan siswa, dan responsif terhadap tantangan belajar akan memiliki dampak yang signifikan terhadap kemampuan siswa dalam mengatasi kesulitan dalam matematika. Di sisi lain, lingkungan kelas yang mendukung, empatik, dan inklusif memberikan dorongan besar bagi siswa untuk meningkatkan pemahaman mereka tentang konsep matematika dan mengatasi kecemasan terkait pelajaran tersebut. Implikasi temuan ini adalah pentingnya perhatian yang lebih besar terhadap interaksi antara dukungan dosen dan lingkungan kelas dalam upaya meningkatkan ketahanan matematika siswa. Dengan memahami secara mendalam bagaimana kedua faktor tersebut saling berinteraksi, lembaga pendidikan dapat mengembangkan pendekatan pembelajaran yang lebih efektif untuk membantu siswa mengatasi tantangan dalam matematika dan mencapai keberhasilan dalam pelajaran tersebut.
Peran Dosen dan Dinamika Lingkungan Kelas dalam Meningkatkan Resiliensi Matematika Mahasiswa Mandailina, Vera; Syaharuddin, Syaharuddin
Pi: Mathematics Education Journal Vol. 8 No. 1 (2025): April
Publisher : Program Studi Pendidikan Matematika Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/pmej.v8i1.11110

Abstract

Penelitian ini bertujuan untuk mengeksplorasi peran interaksi antara dukungan dosen dan lingkungan kelas terhadap ketahanan matematika siswa. Penelitian ini merupakan kualitatif dengan pendekatan systematic literature review. Sumber data dari basis data ilmiah meliputi Scopus, DOAJ, dan Google Scholar dengan memilih terbitan 10 tahun terakhir. Hasil sintesis pada 16 artikel yang sesuai kriteria kelayakan menunjukkan bahwa dukungan dosen yang efektif mencakup pembimbingan, perhatian terhadap kebutuhan siswa, dan responsif terhadap tantangan belajar akan memiliki dampak yang signifikan terhadap kemampuan siswa dalam mengatasi kesulitan dalam matematika. Di sisi lain, lingkungan kelas yang mendukung, empatik, dan inklusif memberikan dorongan besar bagi siswa untuk meningkatkan pemahaman mereka tentang konsep matematika dan mengatasi kecemasan terkait pelajaran tersebut. Implikasi temuan ini adalah pentingnya perhatian yang lebih besar terhadap interaksi antara dukungan dosen dan lingkungan kelas dalam upaya meningkatkan ketahanan matematika siswa. Dengan memahami secara mendalam bagaimana kedua faktor tersebut saling berinteraksi, lembaga pendidikan dapat mengembangkan pendekatan pembelajaran yang lebih efektif untuk membantu siswa mengatasi tantangan dalam matematika dan mencapai keberhasilan dalam pelajaran tersebut.
Wilkinson Polynomials: Accuracy Analysis Based on Numerical Methods of the Taylor Series Derivative Mandailina, Vera; Syaharuddin, Syaharuddin; Pramita, Dewi; Ibrahim, Malik; Negara, Habib Ratu Perwira
Desimal: Jurnal Matematika Vol. 3 No. 2 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i2.6134

Abstract

Some of the numeric methods for solutions of non-linear equations are taken from a derivative of the Taylor series, one of which is the Newton-Raphson method. However, this is not the only method for solving cases of non-linear equations. The purpose of the study is to compare the accuracy of several derivative methods of the Taylor series of both single order and two-order derivatives, namely Newton-Raphson method, Halley method, Olver method, Euler method, Chebyshev method, and Newton Midpoint Halley method. This research includes qualitative comparison types, where the simulation results of each method are described based on the comparison results. These six methods are simulated with the Wilkinson equation which is a 20-degree polynomial. The accuracy parameters used are the number of iterations, the roots of the equation, the function value f (x), and the error. Results showed that the Newton Midpoint Halley method was the most accurate method. This result is derived from the test starting point value of 0.5 to the equation root x = 1, completed in 3 iterations with a maximum error of 0.0001. The computational design and simulation of this iterative method which is a derivative of the two-order Taylor series is rarely found in college studies as it still rests on the Newton-Raphson method, so the results of this study can be recommended in future learning.
THE CONCEPT OF ALGEBRAIC AND GEOMETRIC FUNCTIONS IN TRADITIONAL LOMBOK BALE SADE: AN ETHNOMATHEMATICS STUDY Abdillah, Abdillah; Hadi, Alfian Rahman; Mandailina, Vera; Syaharuddin, Syaharuddin
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 14, No 3 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v14i3.12845

Abstract

This study aims to explore the application of the concepts of algebraic functions and geometry in the traditional architecture of Bale Sade, a traditional house of the Sasak people in Lombok, through an ethnomathematics approach. Although previous studies have highlighted geometric aspects in Sasak arts and crafts, in-depth studies of the application of algebraic and geometric principles in traditional building structures are limited. This research uses a qualitative approach with descriptive methods, through field observations in Rembitan Village, Pujut Subdistrict, interviews with several resource persons, TA (Traditional Leaders), and PW (Tour Guides), and documentation in Rembitan Village, Pujut Subdistrict, Central Lombok. Data analysis refers to the Miles and Huberman model which includes collecting, reducing, presenting data, and drawing conclusions. The results show that the structure of Bale Sade reflects mathematical principles such as symmetry, proportion, and geometric balance, as well as the application of algebra in calculating dimensions and efficient use of materials. In addition to functioning as a residence, Bale Sade reflects local wisdom that is closely related to cultural and environmental values. While previous studies have highlighted geometric aspects in the arts and crafts of the Sasak people, this study also makes an in-depth contribution to the application of algebraic and geometric principles in traditional building structures. This research recommends further studies that highlight the resilience of traditional architecture to climate change and the potential integration of modern technology in design without losing cultural values.
Co-Authors - Abdillah - Syaharuddin -, Ibrahim - A.A. Ketut Agung Cahyawan W Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Adhiim Rizky, Abdul Agus Herianto Agustian, Bayu Ahmad Ahmodu, Abdul-Lateef Olamide Aini, Kuratul Alfiana Sahraini Alia Alia Amina Tusaadia Andi Saputra Anggita Denia Anggriyani, Meli Aqodiah Aqodiah Ariani, Zaenafi Arif, April Mulyanas Aryani, Nofi Ashraf, Hameed Astriyani Oktafian Aulia, Hartika Azmiatun Solehah Baiq Sulislia Lumsmayanti David Hermansyah Desi Nadila Desi Ratnasari Dewi Pramita Dewi Pramita Dewi, Sopian Dian Eka Maya Sari Dwi Hastuti, Intan Dwi Noorma Putri Eka Fitriani Eka Fitriani Eka Fitriani Evi Febriana Evi Febriana, Evi Farah Heniati Santosa Febriani, Putri Ayu Feni Feni Juliani Fujiaturrahman, Sukron Gervas, Hamenyimana Emanuel Habib Ratu Perwira Negara Habibi Ratu Perwira Negara Hadawiyah, Roqib Atul Hadi, Alfian Rahman Hafsah Haifaturrahmah, Haifaturrahmah Hartika Aulia Hartika, Lina Hartoyo, Servasius Hendi Hidayah Hermansyah, David Hidayah, Nurul Iman Hidayanti, Nur Fitri Hidayati Ibrahim Ibrahim Ibrahim Ibrahim Iddrisu, Mohammed Muniru Ilham Ilham Intan Dwi Hastuti Jauhari, Lutfi Josua Kabunggul Jumratul Auliah Khairul Alimin Khosiah Khosiah Khosiah Kirti Verma Kuratul Aini Lailatul Hikmah, Wahyu Laksmi Nusa Rinjayani, Dewi Lalu Sucipto Linda Linda Linda Linda Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup, Mahsup Malik Ibrahim Malik Ibrahim Mappanyompa, Mappanyompa Mariyati, Yuni Maulana, M. Rizki Ma’ruf, Amar Mehmood, Saba Muhamad Muhamad Muhammad Abdul Haris Munandar Muhammad Nizaar Muhdar, Syafruddin Muslimin, Ikhwanul Nadila, Desi Nurfiati Nurfiati Nurhalimah, Atin Nurjannah Nurjannah Nurmiwati, Nurmiwati Nurul Hikmah Nuthya Rahmatin Oktyawati, Mega Putri Ayu Febriani Rahman, Nanang Rahman, Yosi Solidatul Rahmaniah, Rima Ratni Purwasih Raza, Wasim Riadi, Riadi Rima Rahmaniah Rini Anjani Rini, Widia Rippi Maya Rody Satriawan Rosada Rosada Saba Mehmood Saba Mehmood Saba Mehmood Saddam Saddam Saddam Saddam, Saddam Sahara, Ani Sahraini, Alfiana Salma Salma Sangputri Sidik Sari, Nur Indah Sari, Nursina Shaufani Ayu Sukma Dewi Shofiana Shofiana Sholehah, Azmiatun Sintayana Muhardini Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Siti Arfa Halisa Siti Fatimah Sri Rejeki Suaema Suaema Sucipto, Lalu Supardi Supardi Suvriadi Panggabean Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Uswatun Hasanah Wahyu Ningsih Wasim Raza Wasim Raza Winda Sari Yuliatun Yuliatun Yuni Susilowati Yunita Septiana Anwar Yunita Septriana Anwar Zaenab Jamaludin Zaenudin Zaenudin Zubaidah, Risna Zulkarnain, Zulkarnain