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PENERAPAN DIMENSI FRAKTAL HIGUCHI DALAM KLASIFIKASI JENIS MONYET BERDASARKAN SUARA DENGAN METODE K-NEAREST NEIGHBOR (K-NN) Yulistina, Fika; Juniati, Dwi
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v12n1.p110-120

Abstract

Monyet merupakan salah satu jenis mamalia primata yang termasuk dalam sub-ordo Anthropoide. Beberapa spesies monyet telah mengalami penurunan jumlah secara signifikan pada beberapa dekade terakhir, oleh karena itu diperlukan suatu metode untuk mendeteksi keberadaan populasi monyet di suatu wilayah sebagai upaya untuk meningkatkan konservasi monyet agar terhindar dari ancaman kepunahan. Diketahui bahwa sebagian besar habitat monyet adalah hutan yang merupakan alam bebas dengan memiliki banyak pohon dan berbagai satwa lain di dalamnya, hal ini mengakibatkan keterbatasan untuk mendeteksi populasi monyet di suatu wilayah. Dalam komunikasi vokal, monyet mengeluarkan berbagai jenis suara, dimana suara yang dikeluarkan oleh monyet dari jenis yang berbeda dapat menghasilkan sinyal suara yang berbeda, sehingga memunculkan suatu karakteristik. Dari informasi karakteristik tersebutlah pada penelitian ini akan dilakukan klasifikasi jenis monyet berdasarkan suara dengan menerapkan metode dimensi fraktal Higuchi dan klasifikasi K-Nearest Neighbor (K-NN). Tahapannya yaitu pre-processing data, kemudian ekstraksi ciri dengan dekomposisi suara hingga level 7 menggunakan Discrete Wavelet Transform (DWT) berjenis mother wavelet Daubechies db4. Selanjutnya melakukan perhitungan nilai Higuchi. Dari nilai Higuchi yang telah didapat, dilakukan tahap klasifikasi K-NN. Pada penelitian ini menggunakan rasio pembagian data menjadi data training dan data testing sebesar 0,5 : 0,5, pada Kmax = 50 dan k = 3 didapatkan hasil akurasi tertinggi yaitu sebesar 90,38%. Dari hasil akurasi yang tinggi disimpulkan bahwa metode Higuchi dan K-NN dapat diterapkan pada klasifikasi jenis monyet berdasarkan suara. Kata Kunci: Monyet, Dimensi Fraktal Higuchi, K-Nearest Neighbor (K-NN).
Aplikasi Topologi Jaringan Pada Akun Twitter Paling Berpengaruh Terkait Redenominasi Rupiah dengan Metode SNA Purnama, Mohammad Dian; Aisyah, Ivon Tressyta Nanda; Rasyidah, Salma Azmi; Juniati, Dwi; Yulistina, Fika
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v12n1.p141-148

Abstract

Masyarakat sering memanfaatkan media sosial sebagai platform untuk mengungkapkan minat dan pandangan mereka terhadap berbagai topik. Di Indonesia, masyarakat juga sering menggunakan media sosial sebagai wadah untuk mengekspresikan minat dan pandangan mereka terhadap berbagai isu. Kemajuan teknologi informasi telah memperluas cakupan dan meningkatkan kecepatan dalam penyebaran informasi melalui media sosial. Salah satu isu yang ramai dibahas di Twitter adalah terkait Redenominasi Rupiah, yang tercermin dari tingginya jumlah retweet pada tweet yang terkait. Penelitian ini menerapkan Metode Analisis Jaringan Sosial (SNA) sebagai teknik untuk memetakan dan mengukur hubungan serta komunikasi di antara akun-akun. Hasil penelitian menunjukkan bahwa akun Twitter @BigAlphaID memunculkan nilai Degree Centrality tertinggi sebesar 1387, nilai Betweeness Centrality sebesar 1386, dan nilai Closeness Centrality mencapai 1.0. Closeness Centrality yang mencapai 1.0 menggambarkan bahwa akun tersebut menjadi simpul terdekat dengan akun lain dalam jaringan. Dengan kata lain, akun Twitter @BigAlphaID memiliki dampak signifikan dalam menyuarakan isu Redenominasi Rupiah
IMPLEMENTASI DIMENSI FRAKTAL BOX COUNTING DAN K-MEANS DALAM KLASIFIKASI JENIS IKAN LAUT BERDASARKAN CORAK TUBUH Faizah, Ayu Mazidatul; Juniati, Dwi
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v12n1.p197-207

Abstract

Ikan adalah kelompok hewan bertulang belakang (vertebrata) yang hidup di dalam air, bernapas melalui insang, dan memiliki sirip untuk berenang. Dalam taksonomi, ikan masuk dalam kelompok paraphyletic. Ikan berperan penting dalam ekosistem perairan dan juga menjadi makanan pokok bagi banyak masyarakat di muka bumi ini. Selain dilihat dari bentuk tubuh, ekor, dan bentuk siripnya, corak pada tubuh ikan juga berperan penting dalam mengidentifikasi jenis ikan. Dalam matematika, gagasan mengenai fraktal adalah salah satu metode yang cocok untuk memahami pola atau bentuk yang tidak beraturan pada suatu objek. Dalam penelitian ini, dilakukan pengklasifikasian ikan laut berdasarkan corak pada tubuhnya menggunakan dimensi fraktal. Sebanyak 120 citra berwarna pada bagian tengah tubuh ikan laut digunakan untuk diubah ke dalam citra grayscale lalu dilakukan segmentasi pada corak tubuhnya. Daerah hasil segmentasi tersebut digunakan untuk mengetahui pola corak tubuh ikan menggunakan deteksi tepi Canny. Hasil nilai dimensi menggunakan box counting diklasifikasikan menggunakan metode K-Means Clustering dengan 8 klaster yang memiliki nilai akurasi sebesar 90%. Kata Kunci: Corak Tubuh Ikan Laut, Box Counting, K-Means.
Mathematics belief impact on metacognition in solving geometry: Middle school students Suliani, Mega; Juniati, Dwi; Lukito, Agung
Journal of Education and Learning (EduLearn) Vol 18, No 2: May 2024
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v18i2.21110

Abstract

Mathematical beliefs and metacognitive knowledge play significant roles in solving mathematical problems; thus, this study aims to investigate the influence of middle school students' beliefs on their metacognitive knowledge when solving geometry problems. This study utilizes both quantitative and qualitative research methods. A linear regression test was used to determine the effect of middle school students' beliefs on their metacognitive knowledge. The results of the quantitative research analysis were followed up with a qualitative research approach to describe the metacognitive knowledge of students who have high and low confidence in solving geometric problems. This research involved 352 middle school students in the Tarakan area. Based on the results of linear regression, it is known that the beliefs of middle school students have a positive effect on their metacognitive knowledge when solving geometric problems. In addition, it was found that students with different beliefs could solve a given geometry problem, but the approach to solving it varied among subjects. Middle school students have diverse beliefs, but these variations do not affect their capacity to apply their metacognitive knowledge at every stage of solving mathematical problems.
PENGENALAN SIDIK JARI MENGGUNAKAN DIMENSI FRAKTAL BOX COUNTING DENGAN ALGORTIMA K-NEAREST NEIGHBOR Filda Maria Chiftia; Dwi Juniati
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 3 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n3.p421-426

Abstract

Pengenalan sidik jari merupakan salah satu metode biometrika yang banyak digunakan dalam sistem identifikasi individu. Pola sidik jari berbeda pada setiap individu dan bersifat permanen seumur hidup, sehingga menjadikannya alat identifikasi yang efektif. Namun, dalam penerapannya, sidik jari dapat mengalami kerusakan atau alterasi, baik yang terjadi secara alami akibat luka, goresan, atau penyakit, maupun yang dilakukan secara sengaja untuk menghindari sistem identifikasi. Kondisi ini dapat menurunkan tingkat akurasi sistem pengenalan sidik jari. Oleh karena itu, diperlukan sistem pengenalan sidik jari yang andal dan lebih adaptif terhadap perubahan pada pola sidik jari. Penelitian ini bertujuan untuk mengklasifikasikan citra sidik jari, baik citra asli maupun citra yang telah teralterasi, menggunakan perhitungan dimensi fractal dengan metode Box Counting. Sebanyak 100 citra sidik jari digunakan dalam penelitian ini. Proses diawali dengan penajaman citra, konversi citra ke format grayscale, dan deteksi tepi menggunakan metode Canny. Hasil deteksi tepi kemudian digunakan dalam perhitungan dimensi fraktal. Nilai dimensi fraktal yang diperoleh selanjutnya digunakan dalam proses klasifikasi menggunakan algoritma K-Nearest Neighbor (K-NN) dengan skema k-Fold Cross Validation. Hasil penelitian menunjukkan bahwa akurasi tertinggi yang dicapai adalah 83% menggunakan 4-Fold Cross Validation pada nilai K = 3 dan K = 5 untuk jumlah tetangga terdekat. Metode ini diharapkan dapat menjadi salah satu solusi alternatif dalam pengenalan sidik jari berbasis citra yang lebih adaptif terhadap perubahan pola sidik jari.
Profile of Students' Ability to Solve Group Material Problems Based on APOS Theory Reviewed from Differences in Mathematical Ability Adamura, Fatriya; Juniati, Dwi; Khabibah, Siti
Journal of Science and Education (JSE) Vol. 6 No. 2 (2026): Journal of Science and Education (JSE)
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/jse.v6i2.737

Abstract

This study aims to describe the profile of students' ability to solve group material problems based on APOS theory reviewed from differences in mathematical ability. The research uses a qualitative descriptive approach that focuses on revealing students' thinking processes in understanding abstract algebraic concepts. The research subjects consisted of three students who were purposively selected based on the results of the mathematical ability test, namely students with high, medium, and low mathematical ability. The research instruments include mathematical ability tests, group material problem solving tests designed according to the stages of APOS theory, and semistructured interview guidelines. Data is analyzed through the stages of data reduction, data presentation, and conclusion drawing by referring to the indicators of each stage of APOS, namely action, process, object, and schema. The results of the study show that students with high mathematical ability are able to fulfill all stages of APOS completely and consistently. Medium-skilled students are able to reach the action, process, and object stages, but have not fully reached the schema stage. Meanwhile, low-skilled students are only able to perform part of the action stage and experience difficulties at the process, object, and schema stages. These findings show that early mathematical ability has a significant effect on the construction of group concept comprehension. This study confirms that APOS theory is effectively used as an analytical framework to map students' conceptual understanding of abstract algebraic materials, especially group concepts, and provides important implications for the design of mathematics learning in higher education.
How Adversity Quotient and Learning Independence Affect Students' Mathematical Problem-Solving Ability Ningsi, Gabariela Purnama; Juniati, Dwi; Khabibah, Siti
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 7 No. 1 (2025): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v7i1.1146

Abstract

This study aims to analyze the influence of Adversity Quotient (AQ) and learning independence on students' mathematical problem-solving abilities and to explore problem-solving strategies based on differences in AQ and learning independence levels. The study employed a mixed-methods approach with a sequential explanatory design, involving 150 secondary school students. Results showed that AQ and learning independence significantly influenced problem-solving abilities, with learning independence having a greater impact. Students with high learning independence were more innovative and persistent, while those with low independence faced challenges. This study highlights the importance of developing AQ and learning independence to enhance students' problem-solving skills. Education should strengthen these aspects through strategies like project-based learning and resilience training, to better prepare students for real-world challenges.
Eksplorasi berpikir kreatif siswa dalam pemecahan masalah matematika berbasis computational thinking Rosyana, Tina; Juniati, Dwi; Khabibah, Siti
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 9 No. 1 (2026): JPMI
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v9i1.30720

Abstract

Creativity in problem-solving needs to be strengthened through a systematic thinking framework. This study aims to explore students' creative thinking patterns in solving mathematics problems based on computational thinking (CT). A descriptive qualitative approach was employed, involving three junior high school students in West Bandung Regency representing high, medium, and low levels of mathematical ability. Data were collected through semi-structured in-depth interviews and essay test focusing on four elements of CT (decomposition, pattern recognition, abstraction, and algorithmic thinking) and four indicators of creative thinking (fluency, flexibility, originality, and elaboration). The results revealed High-ability students demonstrated strong integration between CT and conceptual creativity. Medium-ability students exhibited strategic flexibility, although their symbolic representations were not yet stable. In contrast, low-ability students tended to rely on procedural approaches. This study confirms that CT can function as a systematic thinking framework to foster creativity in 21st-century mathematics learning. It also contributes theoretically to understanding the dynamic relationship between CT and mathematical creative thinking and practically to the design of pattern-based tasks that stimulate student creativity.
Analysis of Students’ Mathematical Reasoning Ability on Junior High School Usman, Ulfiani; Juniati, Dwi; Khabibah, Siti
(JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Vol. 9 No. 1 (2026): VOLUME 9 NUMBER 1, MARCH 2026
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jiml.v9i1.30533

Abstract

Students’ mathematical reasoning ability (MRA) is an essential component of mathematics learning, particularly for solving non-routine problems. However, many junior high school students still rely on procedural strategies without sufficient conceptual understanding, resulting in weak reasoning skills, especially in geometry topics such as the Pythagorean Theorem, indicating the need for a detailed analysis of students’ mathematical reasoning ability. This study aims to analyze junior high school students’ mathematical reasoning ability on the Pythagorean Theorem based on four indicators: proposing conjectures, performing mathematical transformations, providing logical justification, and drawing conclusions. A descriptive qualitative approach was employed involving 31 eighth-grade students of SMP Negeri 1 Raha selected through purposive sampling. Data were collected using an open-ended mathematical reasoning ability test related to the Pythagorean Theorem and supported by semi-structured interviews. Data analysis was conducted using Miles and Huberman’s interactive model, consisting of data reduction, data display, and conclusion drawing and verification. The results indicate that 6% of students demonstrated high mathematical reasoning ability, 8% were categorized as moderate, and 86% were classified as low. Most students experienced difficulties in formulating conjectures, transforming contextual problems into mathematical models, providing logical justification, and drawing valid conclusions. In conclusion, students’ mathematical reasoning ability on the Pythagorean Theorem remains relatively low. Therefore, instructional strategies that emphasize conceptual understanding, reasoning processes, justification, and reflective thinking are necessary to improve students’ mathematical reasoning abilities.
Co-Authors Achmad Fachruddin Achmad Fachruddin Ade Irfan Agung Lukito AGUNG LUKITO Aini, Rahmawati Nur Aisyah, Ivon Tressyta Nanda Aminuyati Anarato, Elsiani Ardianto Pandapotan Siregar, Ardianto Pandapotan Astrie Pratiwi Damayanti Atik Wintarti Atik Wintarti Budi Priyo Prawoto BUDI RAHADJENG Cut Khairunnisak Dede de Haan Deka Anjariyah Dewi Sukriah Dewi Sukriyah, Dewi Dhany Fachrudin, Achmad Dimas Duzazagi Akbar Dwi Ivayana Sari, Dwi Ivayana Elisabet Ayunika Permata Sari Elly Anjarsari enny listiawati, enny Evangelista Lus Windyana Palupi Evi Novita Wulandari Faizah, Ayu Mazidatul Farman Farman Farman, Farman Fatriya Adamura Filda Maria Chiftia Firdiana, Winda Florensia, Tasya Florida Moza, Florida Hongki Julie I Ketut Budayasa I Wayan Puja Astawa Janet Trineke Manoy Kusumaningtyas, Septhiana Indra Lukito, Agung Lukman Jakfar Shodiq Lutfiah, Farah Conita M. J. Dewiyani Sunarto Maulana, Dimas Avian Muhtarom muhtarom Naufal Ishartono NIHAYATUS SAADAH Nikmarocha Ningsi, Gabariela Purnama Pradnyo Wijayanti Purnama, Mohammad Dian RADEN SULAIMAN Rahman, Fatchiyah Rahmatika, Ismi Rahmawati Nur Aini Rahmawati, Anis Wahyu Rasyidah, Salma Azmi Reni Rachmawati Reni Rachmawati Reny Wahyuni Rohmania, Ainnur Rooselyna Ekawati RUDIANTO ARTIONO, RUDIANTO S, Adnan Santoso, Hajar Ahmad Septhiana Indra Kusumaningtyas, Septhiana Indra SETYONINGSIH, ANIS Siolimbona, Dedi Rahman Siti Khabibah Siti Khabibah Siti Maghfirotun Amin Sitti Maesuri Patahudin Soffil Widadah Soffil Widadah, Soffil St. Suwarsono suhendar, uki Suliani, Mega Sumaji Susanah Susanah Tatag Yuli Eko Siswono Tina Rosyana, Tina Usman, Ulfiani Widayanti, Evi Wulandari, Evi Novita Yuliati, Ikha Yulistina, Fika Yunianti, Dwi Nur