Femmy Diwidian
Syarif Hidayatullah State Islamic University

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UPAYA MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA DI MADRASAH IBTIDAIYAH NURUN 2 RENGAS CIPUTAT TANGERANG SELATAN MELALUI KEGIATAN PARTISIPATORY Gelar Dwirahayu; Femmy Diwidian
PARADIKMA: JURNAL PENDIDIKAN MATEMATIKA Vol 7, No 2 (2014): PARADIKMA JURNAL PENDIDIKAN MATEMATIKA
Publisher : Study Program of Mathematics Education of Unimed Postgraduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/paradikma.v8i1.3353

Abstract

The four of competencies for the teacher and lecturers according to Education Law in Republic Indonesia Number 14 year 2005 are pedagogical competence, personal competence, social competence and professional competence. Professional and pedagogical competence skills related to teacher or lecture ability on manage learning process in the classroom to improve learning outcomes particularly on mathematics. Most of the teachers face many obstacles to improve the pedagogical and professional competence, one of the reason is infrequently on seminar or workhsops. The effort that can help teacher to improve the pedagogical and professional competence is through cooperation between university and school which is called participatory action research, this partnership aims to (1) Implementing the theory of mathematics’ teaching and learning in the class; (2) Assist the teacher to arrange lesson plan in mathematics; (3) Develop innovative strategi, model or approach for mathematics’ teaching and learning; and (4) Conducting relationship between university and stakeholders, in this case  islamic primary school/Madrasah. The result showed that the activities of participatory action research in islamic primary school Nurun Najah 2 Rengas Chester positive impact on mathematics learning activities, particularly increasing students' understanding in cognitive, affective and psychomotor aspect.
Pengembangan Instrumen Tes Kemampuan Literasi Matematis Berbasis Etnomatematika: Rail dan Retail Firmansyah; Gelar Dwirahayu; Femmy Diwidian
Lattice Journal : Journal of Mathematics Education and Applied Vol. 5 No. 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/lattice.v5i1.9636

Abstract

This study aims to develop a test instrument based on ethnomathematics in the context of rail and retail to assess students’ mathematical literacy. Rail and retail are two essential elements in the development of modern urban areas, where rail-based transportation systems such as MRT and KRL; while retail is developing of shopping centers, such as malls, which play a significant role in supporting urban mobility. The research method used is Research and Development (R&D), following the Borg & Gall model, which consists of 10 stages. The instrument was developed based on three of the mathematical literacy indicators outlined in PISA (formulate, employ, and interpret) for 27 questions. The research involves six mathematics teachers and three mathematics education lecturers as validators of the instrument, and students from SMAN 8 South Tangerang City, a total of 120 students as subjects for the test trial. Based on the results, using Aiken’s coefficient the instrument ware declared valid and testing using Cronbach’s Alpha get  0,964 (very high level of reliability). In addition, item difficulty and discrimination indices were analyzed to assess the quality of the instrument quantitatively. Thus, it can be concluded that the rail and retail ethnomathematics-based test instrument is declared valid and can be used to measure mathematical literacy abilities.   Penelitian ini bertujuan untuk mengembangkan instrumen tes berbasis etnomatematika rail dan retail untuk mengukur kemampuan literasi matematis. Rail dan retail merupakan dua elemen penting dalam pengembangan wilayah perkotaan modern, di mana sistem transportasi berbasis rail seperti MRT dan KRL, sedangkan retail berhubungan dengan petumbuhan pusat perbelanjaan seperti mall berperan besar dalam menunjang mobilitas masyarakat urban. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model Borg & Gall yang terdiri atas 10 tahapan. Instrumen disusun berdasarkan tiga indikator kemapuan literasi matematis dalam PISA (formulate, employ, interpret) sebanyak 27 item soal. Penelitian ini melibatkan enam guru matematika dan tiga dosen pendidikan matematika sebagai validator instrumen, dan siswa SMAN 8 Kota Tangerang Selatan sebagai subjek ujicoba instrumen sebanyak 120. Berdasarkan hasil penelitian, menunjukkan bahwa dengan menggunakan Aiken’s instrumen dinyatakan valid, dan berdasarkan uji reliabilitas menggunakan Cronbach’s Alpha diperoleh  0,964 (kategori reliabilitas sangat tinggi). Dengan demikian dapat disimpulkan bahwa instrumen tes berbasis etnomatematika rail dan retail dinyatakan valid dapat digunakan dapat untuk mengukur kemampuan literasi matematis.
The Influence of the Binary Process Threshold on the BCBimax Algorithm in Finding Optimal BC Femmy Diwidian; I Made Sumertajaya; Indahwati Indahwati; Hari Wijayanto; Bagus Sartono
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol. 8 No. 1 (2026)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/inprime.v8i1.50887

Abstract

Selecting an appropriate threshold is crucial in the binarization process because it directly affects the quality of biclusters generated by the BCBimax algorithm. However, studies comparing thresholding strategies for optimal bicluster formation are still limited. Therefore, this study proposes an ASR-based evaluation framework to analyze the effect of several thresholding methods on biclustering performance. This study uses 2024 fruit production data from 34 provinces and three special regions in Indonesia, with 25 variables representing fruit commodities. Data preprocessing includes scaling and threshold determination using global and variable-based statistical approaches. The novelty of this research lies in the comparative analysis of threshold selection strategies in BCBimax biclustering using Average Spearman’s Rho (ASR) to evaluate bicluster quality. The results show that the variable-wise median produces patterns similar to the global median, while the variable-wise mean yields the same ASR value as the global mean (0.56909). Although the system-generated threshold yields the smallest ASR (0.09533), it produces only one bicluster. These findings highlight the significant influence of threshold selection on the quality and interpretability of biclustering.   Abstrak Pemilihan nilai ambang batas yang tepat sangat penting dalam proses binarisasi karena secara langsung mempengaruhi kualitas bicluster yang dihasilkan oleh algoritma BCBimax. Namun, studi yang membandingkan strategi penentuan ambang batas untuk pembentukan bicluster optimal masih terbatas. Oleh karena itu, penelitian ini mengusulkan kerangka evaluasi berbasis ASR untuk menganalisis pengaruh beberapa metode penentuan ambang batas terhadap kinerja biclustering. Penelitian ini menggunakan data produksi buah tahun 2024 dari 34 provinsi dan tiga daerah khusus di Indonesia, dengan 25 variabel yang mewakili komoditas buah. Praproses data meliputi penskalaan dan penentuan ambang batas menggunakan pendekatan statistik global dan berbasis variabel. Kebaruan penelitian ini terletak pada analisis komparatif strategi pemilihan ambang batas dalam biclustering BCBimax menggunakan Average Spearman’s Rho (ASR) untuk mengevaluasi kualitas bicluster. Hasil menunjukkan bahwa median per variabel menghasilkan pola yang mirip dengan median global, sedangkan rata-rata per variabel menghasilkan nilai ASR yang sama dengan rata-rata global (0,56909). Meskipun ambang batas yang dihasilkan sistem menghasilkan nilai ASR terkecil (0,09533), ambang batas tersebut hanya membentuk satu bicluster. Temuan ini menyoroti pengaruh signifikan pemilihan ambang batas terhadap kualitas dan interpretasi biclustering. Kata Kunci: Algoritma BcBimax; Binerisasi; Ambang batas.   2020MSC: 62H30
OPEN-ENDED MATHEMATICS TEACHING MATERIALS TO FACILITATE COMPUTATIONAL THINKING SKILLS IN MATHEMATICS Azahra Putri Ramadhani; Firdausi Firdausi; Femmy Syarwa Diwidian
Math Educa Journal Vol 9, No 1 (2025)
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v9i1.9936

Abstract

This study aims to develop mathematics teaching materials based on an open-ended approach to facilitate computational thinking skills in the topic of polyhedrons. The product developed is a printed teaching material, namely the Polyhedron Module based on the Open-Ended Approach. This research uses the Research and Development (RD) method and employs the ADDIE development model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The test subjects in this study were grade VIII-2 students of MTsN 35 Jakarta and eight validators, consisting of three expert lecturers from the Mathematics Education department and five mathematics teachers from SMP/MTs as practitioners. The results of the study showed that (a) based on expert validation, a score of 0.92 was obtained, indicating that the module is very valid; (b) based on practitioner validation, a score of 0.86 was obtained, and the student response questionnaire yielded a score of 0.82, indicating that the module is very practical; and (c) based on the results of the students' computational thinking skills test, 77.42% of the 31 students achieved scores that met the minimum passing criteria (KKM), with an overall average score of 80, indicating that the module is effective in facilitating computational thinking skills. Therefore, the Polyhedron Module based on the Open-Ended Approach meets the criteria of being valid, practical, and effective.
Discovery Learning: Its Impact on Students’ Mathematical Computational Thinking Ability and Self-Confidence Irfi Windari; Maifalinda Fatra; Femmy Diwidian
JNPM (Jurnal Nasional Pendidikan Matematika) Vol 9 No 1 (2025)
Publisher : Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jnpm.v9i1.10423

Abstract

Computational thinking is the ability to think about solving problems the way a computer works. This ability is very important in the 21st century, so it needs a teacher's attention when teaching mathematics. This study aims to explore and analyze the impact of discovery learning on students' mathematical computational thinking abilities and self-confidence. The research was carried out at a private high school in Bogor for the 2023/2024 academic year. This research uses a quasi-experimental method with a randomized posttest-only control group design. The research sample consisted of 28 students using the discovery learning model and 26 students using the conventional model. Data collection instruments are tests and questionnaires that have been tested for validity and reliability. The research results show that the average mathematical computational thinking ability taught using the discovery learning model is higher than the conventional model class, with a large influence in the medium category (= 0.221). The average self-confidence of experimental class students is higher than that of the control class with large being included in the medium category (= 0.186). The discovery learning model influences students' mathematical computational thinking abilities and self-confidence in the high category (= 0.292).
Analisis Gaya Belajar Matematika Siswa SMA Menggunakan Algoritma K-Means Clustering Adzra Amani Faatiha; Femmy Diwidian; Gelar Dwirahayu
Jambura Journal of Mathematics Education Vol 7, No 2: September 2026
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jmathedu.v7i2.39546

Abstract

The study aims to analyze students’ mathematics learning styles based on the clusters formed using the K-Means Clustering algorithm and to identify differences in mathematics learning outcomes in each cluster. This study employed a quantitative method with an exploratory approach. The data used were primary data obtained through learning style questionnaires and mathematics learning outcome tests administered to 129 tenth grade students. The number of cluster was determined as three clusters based on the theory of visual (cluster 3), auditory (cluster 2), and kinesthetic (cluster 1) learning styles. The analysis of mathematics learning outcomes revealed that the highest average score was found in cluster 3 (visual), while the lowest average score was found in cluster 2 (auditory). The findings indicate that the K-Means Clustering Algorithm can be used to identify students’ dominant learning styles, allowing students to recognize, understand, and develop awareness of their learning preferences, which may support more effective learning processes.