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Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika
Published by Universitas Cokroaminoto Palopo
ISSN : 26158132     EISSN : 26157667     DOI : 10.30605/proximal
Core Subject : Education,
Mathematics
Proximal publishes research results, literature studies, and scientific papers on mathematics and mathematics education. Published scientific studies include Mathematics Teaching, Development of Mathematics Education, Mathematical Sciences, Applied Mathematics, Actuarial Mathematics, and related fields.
Arjuna Subject : Matematika - Matematika Terapan
Articles 758 Documents
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PEMBELAJARAN MATEMATIKA BERBASIS ETNOMATEMATIKA UNTUK MENINGKATKAN MINAT KELAS 5 SDN 12 LANGKANAE KOTA PALOPO Hasmawati Hamzah; Suaedi; Ma'rufi
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2022): Volume 5 Nomor 1 Tahun 2022
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v5i1.1397

Abstract

ABSTRAK Hasmawati. 2021. Pembelajaran Matematika Berbasis Etnomatematika untuk Meningkatkan Minat Siswa Kelas 5 SDN 12 Langkanae Kota Palopo (di bimbing oleh Suaedi dan Ma`rufi). Penelitian ini bertujuan untuk: (1) Mendeskripsikan minat siswa kelas 5 SDN 12 Langkanae Kota Palopo sebelum dan setelah diajarkan pembelajaran matematika berbasis etnomatematika.(2).Mengetahui apakah pembelajaran matematika berbasis etnomatematika dapat meningkatkan minat belajar siswa kelas 5 SDN 12 Langkanae Kota Palopo. Penelitian ini adalah penelitian eksperimen, jenis desain penelitian ini adalah Pra- Eksperimental designs dengan model one group pretets-posttes, sedangkan strategi yang digunakan adalah pembelajaran matematika berbasis etnomatematika yaitu permainan tradisional Sulawesi Selatan baguli dan ma`dende. Adapun Instrument dari penelitian ini adalah lembar angket minat pretest dan posttest, untuk mengukur minat belajar siswa. Perlakuan yang diberikan pada penelitian ini pembelajaran berbasis etnomatematika. Hasil penelitian ditemukan bahwa: (1). Sebelum diajarkan pembelajaran berbasis etnomatematika terdapat 2 kategori yaitu tinggi dan cukup, jumah siswa yang berkategori tinggi dengan persentase 67%, siswa dengan kategori cukup persentase 33%, setelah diajarkan pembelajaran berbasis etnomatematika kategori sangat tinggi persentase 48%, siswa dengan kategori tinggi 52% tidak ada berkategori cukup. (2). Terdapat pengaruh peningkatan minat setelah diajarkan pembelajaran berbasis etnomatematika H1 : µg1 > 0.299 dengan skor gain sebesar 0,4250. Kata Kunci: Minat, dan Etnomatematika
THE EFFECT OF ONLINE LEARNING USING ONLINE MEDIA ON LEARNING ACHIEVEMENT Dona Fitriawan
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2022): Volume 5 Nomor 1 Tahun 2022
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v5i1.1546

Abstract

The purpose of this study was to determine the effect of online learning using online media on learning achievement. This type of research uses quantitative descriptive methods and the subjects of this research are 4th semester students at STKIP Kumala Lampung Metro which is conducted online. In this study, the online media used included applications such as Google Classroom, WhatsApp and YouTube. The results of this study indicate that the t-count value for online media is 4.012 with a significance level of 0.001, the online media variable has a positive and significant effect on the t-count value (4.012) > t table (2.101) and significant value (0.001) <0.05 . So it can be concluded that there is a significant influence between online media variables (X) on learning achievement (Y)
KLASIFIKASI PENYAKIT PARU BERDASAR SUARA PERNAPASAN MENGGUNAKAN DIMENSI FRAKTAL HIGUCHI DAN K-NEAREST NEIGHBOR Devina Venezia Ariani; Dwi Juniati
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2022): Volume 5 Nomor 1 Tahun 2022
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v5i1.1608

Abstract

Pernapasan merupakan proses menghirup dan menghembuskan udara dengan melibatkan pertukaran udara pada alveolus paru-paru. Beberapa gangguan atau penyakit yang menyerang organ sistem pernapasan atau paru antara lain Bronkitis, COPD, dan URTI. Menentukan jenis penyakit yang diderita seseorang sangatlah penting untuk dapat menentukan jenis obat yang sesuai. Untuk membedakan jenis penyakit paru ini selain dengan menggunakan MRI atau hasil rontgen juga berdasar suara napas pnederita. Pada penelitian ini deteksi jenis penyakit paru didasarkan pada suara pernapasan dengan menggunakan dimensi fractal Higuchi. Untuk klasifikasi suara penyakit pernapasan pada manusia dapat dilakukan dengan menganalisis ciri khas sinyal suaranya. Dalam penelitian ini, klasifikasi didasarkan untuk membedakan jenis penyakit paru bronkitis, COPD, URTI dari paru yang sehat berdasarkan nilai dimensi Higuchi dengan dekomposisi wavelet 5 level dengan K-Nearest Neighbor (KNN). Data yang digunakan sebanyak 117 data suara pernapasan berupa data wav yang terdiri atas 13 data penderita bronkitis, 64 data penderita COPD, 26 data suara napas orang sehat, dan 14 data penderita URTI. Metode yang digunakan adalah Pre-Prosessing yaitu menghilangkan noise dan menormalisasi data suara, kemudian menggunakan Discrete Wavelet Transform tipe Mother Wavelet Daubechies db4 dengan dekomposisi level 5 sebagai ekstraksi ciri, lalu mencari nilai dimensi fraktal dengan metode Higuchi. Setelah mendapatkan nilai dimensi fractal, data dibagi menjadi dua yaitu data train dan data test menggunakan jarak Euclidean dengan perbandingan data train dan data test yaitu 1:9 hingga 9:1. Kemudian, data diklasifikasi menggunakan metode K-Nearest Neighbor dengan nilai k percobaan yaitu 1, 2, 5, 8, 9, 10, dan 11. Pada penelitian ini, diperoleh nilai akurasi tertinggi sebesar 83% dengan nilai K-max = 60, dengan perbandingan data train dan data test yakni 9:1, dan nilai k = 1 dan 2 pada KNN. Sehingga dapat disimpulkan bahwa dengan metode dimensi fraktal Higuchi dan K-Neares Neighbor dari suara pernapasan dapat digunakan untuk mengklasifikasi jenis penyakit paru pada manusia.
Karakteristik S-Modul Perkalian Sahlan Sidjara; Whannie Youngger Oeitama; Maya Sari Wahyuni
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2026): Exploring Mathematics through Education, Modeling, Finance, and Cultural Perspe
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i2.9556

Abstract

S - multiplication modules are a generalization of multiplication modules. The properties or characteristics of  -multiplication modules were previously introduced and discussed by Anderson et al. (2020) and Baupradist & Hukaew (2024), where the modules studied were right unital modules over a ring . The proofs in those studies were not discussed in full detail; therefore, this study aims to provide complete proofs of the characteristics of -multiplication modules, where the modules studied are left unital modules over a ring . This study is basic or pure research employing a literature review method. The research stages consist of: collecting primary and supporting literature; studying definitions, theorems, and examples related to groups, rings, ideals, modules, multiplication modules, and -multiplication modules; proving theorems related to the characteristics of -multiplication modules; and drawing conclusions. The results show that more comprehensive proofs were obtained for ten theorems concerning the characteristics of -multiplication modules. Furthermore, it was proven that the characteristics of -multiplication modules hold for left unital modules over a ring . The results of this study are expected to serve as a reference and additional source of literature in the field of module theory, particularly in relation to the characteristics of -multiplication modules. Future research may focus on exploring the characteristics of -multiplication modules of quotient modules and their relation to module homomorphisms
Analisis Kemampuan Pemecahan Masalah Siswa Menengah Pertama pada Materi Geometri Berdasarkan Teori Polya Deyang Hazila; Eline Yanty Putri Nasution
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2026): Exploring Mathematics through Education, Modeling, Finance, and Cultural Perspe
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i2.9578

Abstract

This study aims to describe the mathematical problem-solving abilities of junior high school students in geometry, particularly right triangles using the Pythagorean Theorem, based on Polya’s problem-solving steps. This study employed a descriptive qualitative method involving 18 eighth-grade students selected through purposive sampling in the even semester of the 2027 academic year. Data were collected through a mathematical problem-solving ability test, interviews, and documentation. The research instrument consisted of six essay questions that met the criteria of validity, reliability, difficulty level, and discrimination index, making them suitable for measuring students’ problem-solving abilities. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña, which included data condensation, data display, and conclusion drawing. Polya’s problem-solving indicators were used as a framework for organizing and interpreting the test and interview data. The results showed that the average mathematical problem-solving ability score was 44.11. Based on the ability categories, 15.79% of students were categorized as very good, 35.39% as good, 24.18% as sufficient, and 8.82% as poor. Based on Polya’s problem-solving indicators, students demonstrated the highest ability in carrying out the solution plan (96.29%), followed by devising a solution plan (88.88%), understanding the problem (50%), while the lowest ability was in reviewing the solution (11.11%). Students’ difficulties generally occurred in understanding the problem and drawing conclusions from the solutions obtained. Overall, the mathematical problem-solving ability of students in geometry at SMPN 10 Kerinci was categorized as sufficient, with an average score of 44.11%.
Application of The Multi-Attributive Border Approximation Area Comparison (MABAC) and Decision Making Trial and Evaluation Laboratory (Dematel) Methods for E-Wallet Selection Dwi Haprida; Rima Aprilia
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 3 (2026): Volume 9 Nomor 3 Tahun 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i3.9619

Abstract

The rapid growth of digital transactions in Indonesia has increased e-wallet adoption; Bank Indonesia recorded a 34.62% rise in electronic money transaction value to Rp2,503.96 trillion in 2024 (GoodStats, 2025). However, differences among e-wallet services in security, transaction cost, ease of use, promotions, and additional features make e-wallet selection a multi-criteria decision problem that is not always easy for users, so an appropriate decision-making method is needed. This study applies the Multi-Attributive Border Approximation Area Comparison (MABAC) and Decision Making Trial and Evaluation Laboratory (DEMATEL) methods to e-wallet selection, comparing MABAC's capability to rank alternatives against DEMATEL's capability to analyze the relationships and influence levels among selection criteria. Data were collected through questionnaires distributed to e-wallet users, covering seven alternatives (Dana, GoPay, OVO, LinkAja, ShopeePay, Sakuku, and iSaku) evaluated against six criteria (usage rate, security, transaction fees, ease of use, promotions, and additional features). The MABAC results show that GoPay ranked first with a score of 0.679, followed by Dana (0.591) and ShopeePay (0.113), while the DEMATEL results indicate that security, transaction cost, and ease of use are the most influential criteria in e-wallet selection. These findings show that MABAC is effective for ranking alternatives, whereas DEMATEL is effective for analyzing inter-criteria relationships, so combining both methods provides more comprehensive support for e-wallet selection decisions.
Pengembangan Lembar Kerja Peserta Didik (LKPD) Berbasis Etnomatematika yang Valid dan Praktis untuk Persiapan TKA SD M. Noviarsyah Dasaprawira; Riski Aspriyani; Syifaul Ummah
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 3 (2026): Volume 9 Nomor 3 Tahun 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i3.9627

Abstract

Penelitian ini berlandaskan hasil PISA 2022 yang dirilis pada tahun 2023 menunjukkan rendahnya kemampuan matematika siswa Indonesia, Kondisi ini selaras dengan rendahnya rata-rata Tes Kemampuan Akademik (TKA) Matematika SD tahun 2025 sebesar 43,35, dengan 20,07% siswa berada pada kategori kurang. Capaian TKA yang rendah ini berkaitan erat dengan lemahnya kemampuan pemecahan masalah kontekstual dan HOTS; siswa berkategori kurang hanya mampu menyelesaikan masalah satu konsep, sedangkan soal HOTS menuntut penyelesaian masalah kontekstual dengan berbagai cara. Oleh karena itu, penelitian ini bertujuan mengembangkan Lembar Kerja Peserta Didik (LKPD) berbasis etnomatematika. Metode yang digunakan dalam penelitian adalah Research and Development (R&D) dengan model 4D. Subjek penelitian adalah siswa kelas VI MI Maarif 02 Mulyasari, Cilacap, dengan teknik pengumpulan data berupa observasi, dokumentasi, dan wawancara. Tahap Define meliputi analisis kurikulum, kebutuhan bahan terbuka, dan eksplorasi budaya lokal. Tahap Desain fokus pada perancangan draf awal prototipe LKPD. Tahap Develop melakukan validasi ahli (expert review) dan uji one-to-one untuk menguji validitas, serta uji kelompok kecil untuk menilai kepraktisan. Tahap Disseminate dirancang sebagai rencana penyebaran produk ke sekolah di masa mendatang. Teknik pengumpulan data meliputi observasi, dokumentasi, dan wawancara. Data dianalisis secara kualitatif untuk melihat kevalidan sebuah prototipe dari LKPD etnomatematika yang dilakukan oleh reviewer pada tahapan expert review di dalam mengembangkan. Hasil penelitian menghasilkan prototipe LKPD etnomatematika yang valid secara isi, konstruk, bahasa, dan budaya. Dan Praktis dari proses kelompok kecil
Pemetaan Pola Prokrastinasi Akademik Mahasiswa Dalam Pembelajaran Melalui Principal Component Analysis Andi Quraisy; Nursakia Nursakia
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 3 (2026): Volume 9 Nomor 3 Tahun 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i3.9642

Abstract

Academic procrastination is a complex behavior that can manifest in various forms, such as delaying the initiation and completion of assignments, working on tasks close to deadlines, engaging in last-minute studying, submitting assignments late, diverting study time to other activities, and experiencing difficulties in managing academic time. This study aimed to identify the principal component structure of students’ academic procrastination behavior based on 21 academic behavior items using Principal Component Analysis (PCA). The study employed an exploratory quantitative approach involving 55 respondents selected through convenience sampling. Data were collected using a five-point Likert-scale questionnaire and analyzed using the Kaiser-Meyer-Olkin (KMO) measure, Bartlett’s Test of Sphericity, Measure of Sampling Adequacy (MSA), communalities, eigenvalues, scree plot, and Varimax rotation. The analysis showed a KMO value of 0.850 and a significant Bartlett’s Test, χ²(210) = 771.259, p < 0.001, indicating that the data met the requirements for PCA. All items had MSA values ranging from 0.706 to 0.899, exceeding the minimum criterion of 0.50, indicating that all items were suitable for retention based on MSA. The extracted communalities ranged from 0.470 to 0.810, while the primary rotated component loadings ranged from 0.564 to 0.857. Based on the eigenvalue > 1 criterion, four principal components were obtained, cumulatively explaining 68.56% of the total variance. The four components were interpreted as academic delay behavior, last-minute learning patterns, difficulties in academic time management, and late assignment submission. The findings provide a more structured representation of academic procrastination patterns and may serve as a basis for developing student support strategies and managing students’ academic learning activities.

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