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Pengaruh Model Pembelajaran Problem Based Learning terhadap Kemampuan Computational Thinking ditinjau dari Self-Confidence Siswa Yasmin, Yuli; Negara, Habibi Ratu Perwira
Kognitif: Jurnal Riset HOTS Pendidikan Matematika Vol. 4 No. 2 (2024): April - June 2024
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/kognitif.v4i2.2089

Abstract

Dampak dari penerapan Problem based Learning (PBL) dalam pembelajaran memberikan ruang pengembangan kemampuan Computational Thinking siswa di kelas. Oleh karena itu, penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran Problem Based Learning (PBL) terhadap kemampuan computational thinking (CT) ditinjau dari self-confidence siswa. Kami menggunakan metode kuantitatif dengan Quasy Experimental Design dan melibatkan sebanyak 213 siswa di salah satu sekolah negeri di Kota Mataram. Kami menggunakan instrumen berupa angket self-confidence dengan jumlah pernyataan sebanyak 16 butir dan tes kemampuan CT yang terdiri dari 2 soal uraian. Data hasil tes kemampuan CT dianalisis menggunakan uji anava dua arah sel tak sama dan uji lanjut menggunakan komparasi ganda dengan metode scheffe. Hasil penelitian menunjukkan bahwa kemampuan CT siswa yang diajarkan melalui model pembelajaran PBL lebih baik dibandingkan dengan kemampuan CT siswa yang diajarkan dengan model pembelajaran konvensional. Selanjutnya, siswa dengan self-confidence tinggi memiliki kemampuan CT yang lebih baik dibandingkan siswa dengan self-confidence sedang dan rendah. Interaksi antara model pembelajaran dan self-confidence terhadap kemampuan CT menunjukkan tidak terdapat interaksi.
Differences in the Improvement of Statistical Reasoning Ability Based on Students' Self-Regulated Learning Level in Online Learning Using LMS Jauhari, Afifah Latip Rasyid; Herman, Tatang; Juandi, Dadang; Negara, Habibi Ratu Perwira
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 4 (2023): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i4.16830

Abstract

In the literature, studies on technology-supported learning, especially using LMS, have been widely carried out during a pandemic. However, little is known about LMS, which is interesting and helps to develop students' statistical reasoning abilities for online learning by considering the students' Self-Regulated Learning (SRL) levels (High, medium and low). This study aims to examine and analyze the differences in statistical reasoning abilities of students who study using LMS in terms of SRL levels (high, medium and low). This study uses a quantitative method with the type of One-group pre-test post-test design. What took sampled randomly at the University of Pasundan Bandung, totalling 54 third-level students of Pasundan University Bandung, Indonesia. Research data related to statistical reasoning abilities were collected through a test consisting of six questions. In contrast, SRL level data were collected using a questionnaire consisting of 46 question items. Paired t-test and One-way ANOVA analysis were applied to answer the research hypothesis. The results of the study concluded that students studying with LMS with High SRL obtained a higher increase in statistical reasoning ability than students studying with LMS with Medium and low SRL categories, with the criteria for improvement in the three categories being in the high and medium improvement categories. Research findings related to learning using LMS can be used as an alternative learning model in online learning situations.
Mathematical Reasoning Ability of Male and Female Students in Problem Base Learning Negara, Habibi Ratu Perwira
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 3 (2023): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i3.15023

Abstract

Considering the objectives and standards of the mathematics learning process, mathematical reasoning is an ability that students are expected to have. Nonetheless, the mathematical reasoning abilities of Indonesian students are still inadequate, and learning resources are still inadequate. The researcher then tries to solve it by combining the problem-based learning (PBL) paradigm with the use of GeoGebra in the classroom. The aim of this research is to identify and analyze the effect of GeoGebra and Gender-assisted problem-based learning (PBL) models on students' mathematical reasoning abilities. The study involved 35 students of XI State Senior High School at one of the schools in Mataram City. The research instrument used a mathematical reasoning ability test consisting of five essay questions. The study applied a one-group pretest-posttest design to observe the increase in students' mathematical reasoning abilities. Mathematical reasoning ability tests were given before and after the implementation of the GeoGebra-assisted PBL model. Data analysis used descriptive statistics, paired t-tests, and independent t-tests. The results of the analysis show that improving students' mathematical reasoning abilities can be done by applying the GeoGebra-assisted PBL model in the classroom. Observation of the psychological aspects of Gender showed significant results in students' mathematical reasoning abilities.
Analysis of Human Development Index in West Nusa Tenggara Province with Spatial Panel Model Alfira Mulya Astuti; Afifurrahman Afifurrahman; Habibi Ratu Perwira Negara
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4599

Abstract

The purpose of this article is to examine the factors that influence the human development index (HDI) in West Nusa Tenggara using a spatial panel model. This research is crucial because it can analyze correlations between regions and is more efficient, informative, and effective in HDI modeling. The data structure is panel data, where observation units are the cities and regencies in West Nusa Tenggara Province for 2010 to 2022. A human development index serves as the dependent variable. The independent variables were per capita expenditure, average length of school, length of school expectations, and life expectancy. The Rook contiguity and the customized matrix (transportation routes) are used to examine geographical impacts. The results of the analysis indicate: 1) there are spatial linkages between districts and cities in West Nusa Tenggara; 2) the SAR Fixed Effect model is the most appropriate spatial model to model the human development index; 3) the human development index can be improved simultaneously by factors such as life expectancy, expected length of schooling, average length of schooling, and per capita expenditure; and 4) life expectancy is the main factor affecting the human development index.
Perbandingan Metode Newton Midpoint Halley, Metode Olver dan Metode Chabysave Dalam Penyelesaian Akar-Akar Persamaan Non-Linear Hani Yupita Salwa; Syaharuddin Syaharuddin; Linita Sulistina; Elin Nurmayanti; Amalia Rahmatin; Habibi Ratu Perwira Negara
Indonesian Journal of Engineering (IJE) Vol. 3 No. 1 (2022): Edisi September
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak: Persamaan non-linear kerap menjadi model matematika yang menggambarkan situasi dalam berbagai bidang, seperti bidang Teknik maupun bidang biologi. Penentuan akar penyelesaian persamaan non-linear menjadi hal yang perlu dikaji mengingat kartaktersitk dari persamaan tersebut tidak dapat diselesaikan dengan cara analitik. Tujuan dari penelitian ini adalah untuk mengetahui metode terbaik dalam menentukan akar-akar Persamaan Non-Linier. Metode penelitian dilakukan dengan membandingkan tiga metode, yaitu Metode Newton Midpoint Halley (NMH), Metode Olver, dan Metode Chebyshev dalam menyelesaikan persamaan non-linear berbentuk polinomial, trigonometri, eksponensial, dan campuran (trigonometri dan exponensial). Parameter simulasi menggunakan error sebesar 0.001. Hasil analisis diperoleh bahwa dari tiga metode yang digunakan, laju konvergensi tercepat dalam menentukan akar-akar persamaan non-linear (polinomial, trigonometri, eksponensial, campuran trigonometri dan exponensial) yaitu menggunakan metode Newton Midpoint Halley (NMH). sehingga metode terbaik dalam menyelsaikan akar-akar persamaan non-linear adalah metode Newton Midpoint Halley (NMH). Abstract: Non-linear equations often become mathematical models that describe situations in various fields, such as engineering and biology. Determining the roots of solving non-linear equations is something that needs to be studied considering that the characteristics of these equations cannot be solved by analytical means. The purpose of this research is to find out the best method for determining the roots of non-linear equations. The research method was carried out by comparing three methods, namely the Newton Midpoint Halley Method (NMH), Olver Method, and the Chebyshev Method in solving non-linear equations in the form of polynomials, trigonometry, exponentials, and mixtures (trigonometry and exponential). The simulation parameters use an error of 0.001. The results of the analysis show that of the three methods used, the fastest convergence rate in determining the roots of non-linear equations (polynomial, trigonometry, exponential, mixed trigonometry and exponential) is using the Newton Midpoint Halley (NMH) method. so that the best method for solving the roots of non-linear equations is the Newton Midpoint Halley (NMH) method.
Peningkatan Kemampuan Pemecahan Masalah Matematika Mahasiswa Melalui Pemanfaatan GUI MATLAB untuk Sistem Persamaan Non-Linier Syaharuddin, Syaharuddin; Negara, Habibi Ratu Perwira; Sucipto, Lalu; Mandailina, Vera; Abdillah, Abdillah
Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Vol 4 No 1: BATIK April 2026
Publisher : Institut Riset dan Publikasi Indonesia (IRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/batik.v4i1.2576

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Learning nonlinear equation systems requires the integration of conceptual understanding and computational skills, which in practice remains a challenge for students due to the abstract nature of the material. This community service activity aims to improve students' understanding of nonlinear equation systems through the use of MATLAB Numeric GUI as an interactive learning medium. There were 23 students from the Mathematics Education Study Program at UIN Mataram participating in this activity. The implementation methods included concept socialization, GUI usage demonstrations, case-based independent practice, and direct mentoring. The evaluation system used three essay questions to measure mastery of concepts, numerical procedures, and MATLAB GUI usage skills. The evaluation results show that the average achievement of students is 70, with a maximum score of 80 and a minimum score of 60. The average score for the first question reached 68.67, increased to 69.33 for the second question, and increased again to 72.67 for the third question, showing a trend of increasing understanding by 4 points from the initial question to the final question. These findings indicate that the use of the MATLAB Numeric GUI can strengthen conceptual understanding, improve computational skills, and help visualize numerical processes more concretely in learning nonlinear equation systems.
Analisis Klasifikasi Kemampuan Kalkulus Mahasiswa Berdasarkan Gender Berdasarkan Skor Asesmen Lalu Sucipto; Habibi Ratu Perwira Negara
Ulul Albab: Majalah Universitas Muhammadiyah Mataram Vol 30, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jua.v30i2.39904

Abstract

This study aims to analyze and classify students’ calculus abilities and to examine differences in these abilities based on gender. The study employed a quantitative approach with a descriptive–comparative research design. The research subjects consisted of 104 students from four classes. The research instrument was a calculus essay test consisting of three items. Data analysis techniques included descriptive statistical analysis, classification of calculus ability into five categories, and testing for gender-based differences using an independent samples t-test, supported by the Mann–Whitney test. The results showed that students’ calculus abilities were predominantly in the low (39.42%) and moderate (35.58%) categories, while the high and very high categories accounted for only 13.46% and 11.54%, respectively, and no students were classified in the very low category. The findings indicate that students’ calculus abilities still need to be improved and are not significantly influenced by gender. 
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP KEMAMPUAN KOMUNIKASI MATEMATIS DITINJAU DARI SELF-EFFICACY SISWA Indah Maryatun Soleha; Habibi Ratu Perwira Negara; Fadrik Adi Fahruddin
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 12, No 1 (2026)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v12i1.9241

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh model pembelajaran Problem Based Learning, self-efficacy, serta interaksi keduanya terhadap kemampuan komunikasi matematis siswa. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi experiment dan rancangan faktorial 2×3. Sampel penelitian terdiri dari 74 siswa kelas VII yang terbagi menjadi kelas eksperimen dan kelas kontrol. Pengumpulan data dilakukan melalui tes kemampuan komunikasi matematis dan angket self-efficacy, kemudian dianalisis menggunakan uji ANOVA dua arah setelah memenuhi uji prasyarat normalitas dan homogenitas. Hasil penelitian menunjukkan bahwa model Problem Based Learning dan self-efficacy berpengaruh signifikan terhadap kemampuan komunikasi matematis siswa, serta terdapat interaksi antara keduanya. Nilai koefisien determinasi menunjukkan bahwa variabel penelitian memberikan kontribusi yang kuat terhadap kemampuan komunikasi matematis. Temuan ini mengindikasikan bahwa pembelajaran aktif perlu diintegrasikan dengan penguatan aspek afektif siswa untuk meningkatkan kualitas pembelajaran matematika.
PENGARUH PENDEKATAN DEEP LEARNING TERHADAP LITERASI NUMERASI DITINJAU DARI MATH ANXIETY Ahmad Saef Tantowi; Habibi Ratu Perwira Negara; Yandika Nugraha
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 12, No 1 (2026)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v12i1.9272

Abstract

Studi ini ini dilakukan untuk mengetahui pengaruh pendekatan deep learning terhadap kemampuan literasi numerasi siswa, sekaligus mengkaji peran math anxiety dalam memberikan variasi terhadap hasil belajar yang diperoleh. Riset ini menerapkan metode kuantitatif yang dirancang lewat skema Quasi-Eksperimen berupa Nonequivalent Pretest-Posttest Control Group Design, dengan menyertakan dua kelas siswa pada jenjang kelas VIII. Pengumpulan data melalui tes literasi numerasi yang berbentuk pretest serta posttest, ditambah kuesioner guna mengetahui kondisi math anxiety siswa. Pengolahan data ditempuh dengan uji-t serta Two Way ANOVA. Hasil riset memperlihatkan siswa yang mengikuti pembelajaran dengan pendekatan deep learning meraih capaian yang lebih tinggi. Indikasi tersebut terlihat pada skor rerata posttest di kelas eksperimen yakni 67,86 (SD = 7,371), melampaui kelas kontrol dengan rerata 59,46 (SD = 6,726). Selanjutnya, math anxiety turut memberi pengaruh yang signifikan (F = 15,661; p = 0,000), tetapi tidak terdapat interaksi signifikan di antara strategi pembelajaran serta math anxiety (F = 0,283; p = 0,754). Oleh sebab itu, kemampuan literasi numerasi siswa dipengaruhi secara signifikan oleh pendekatan pembelajaran deep learning dan tingkat math anxiety, namun tidak dipengaruhi oleh interaksi antara keduanya.
Kemampuan Computational Thinking Siswa pada Materi Pola Bilangan ditinjau dari Self-Efficacy Muhammad Ali Bintang Istofany; Afifurrahman; Habibi Ratu Perwira Negara
GAUSS: Jurnal Pendidikan Matematika Vol. 8 No. 1 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/gauss.v8i1.10655

Abstract

Abstrak Computational thinking adalah kemapuan berpikir sistematis yang mengintegrasikan proses logis, analitis, dan kreatif untuk menyelesaikan masalah kompleks. Penelitian ini bertujuan untuk mendeksripsikan kemampuan computational thinking siswa ditinjau dari tingkat self-efficacy. Penelitian ini merupakan penelitian kualitatif deskiptif. Subjek dari penelitian ini adalah 33 siswa kelas VIII yang diberikan tes angket self-efficacy. Selanjutnya, akan dipilih sebanyak 9 siswa untuk mengerjakan tes computational thinking dengan pembagian 3 siswa self-efficacy rendah, 3 siswa self-efficacy sedang, dan 3 siswa self-efficacy­ tinggi.  instrumen penelitian yang digunakan berupa angket self-efficacy, tes uraian, dan wawancara. Analisis data yang digunakan mengacu pada model analisis Miles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan terdapat 8 siswa dengan self-efficacy tinggi, 15 siswa dengan self-efficacy sedang, dan 10 siswa dengan self-efficacy rendah. Siswa dengan tingkat self-efficacy tinggi mampu memenuhi 4 aspek kemampuan computational thinking, siswa dengan tingkat self-efficacy sedang mampu memenuhi 3 aspek kemampuan computational thinking, dan siswa dengan tingkat ­self-efficacy rendah mampu memenuhi 2 aspek kemampuan computational thinking. Kata kunci:  computational thinking, self-efficacy, pola bilangan   Abstract Computational thinking is the ability to think systematically by integrating logical, analytical, and creative processes to solve complex problems. This study aims to describe students' computational thinking abilities in terms of their level of self-efficacy. The research is a descriptive qualitative study. The subjects of this study were 33 eighth-grade students who were given a self-efficacy questionnaire. Subsequently, 9 students were selected to take a computational thinking test, consisting of 3 students with low self-efficacy, 3 students with moderate self-efficacy, and 3 students with high self-efficacy. The research instruments used included a self-efficacy questionnaire, open-ended tests, and interviews. Data analysis referred to the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. The results showed that 8 students had high self-efficacy, 15 students had moderate self-efficacy, and 10 students had low self-efficacy. Students with high self-efficacy were able to fulfill all four aspects of computational thinking, students with moderate self-efficacy fulfilled three aspects, and students with low self-efficacy fulfilled two aspects of computational thinking.  Keywords: computational thinking, self-efficacy, number pattern  
Co-Authors A.A. Ketut Agung Cahyawan W Abdillah Abdillah Ade Evi Fatimah Afifurrahman Afifurrahman Afifurrahman Ahmad Ahmad Ahmad Nasrullah Ahmad Saef Tantowi Alfira Mulya Astuti Amalia Rahmatin Anjarwati, Rani Baiq Rofina Budiyono Budiyono Budiyono Budiyono Dadang Juandi Dewi Sri Wahyuni, Dewi Sri Elin Nurmayanti Erpin Evendi Eyus Sudihartinih Fadrik Adi Fahruddin Fahrudin, Fadrik Adi Farah Heniati Santosa Farah Heniati Santosa Farah Heniati Santosa, Farah Heniati Fazira, Lisa Firza, M. Sandi Habib Ratu Perwira Negara Hani Yupita Salwa Imam Sujadi Indah Maryatun Soleha Irzani Irzani jauhari, Afifah Latip Rasyid Kiki Riska Ayu Kurniawati, Kiki Riska Ayu Kusaeri, Al Lalu Sucipto Linita Sulistina Malik Ibrahim Marzuki Marzuki Marzuki Marzuki Marzuki Marzuki Mimi Nur Hafizah Muhammad Ali Bintang Istofany Muhammad Nurman Mulhamah Mulhamah, Mulhamah Najamuddin Najamuddin Nasrullah, Ahmad Nugraha, Yandika Nur Al Fariana Nur Hardiani Pardi, Habib Husnial Parhaini Andriani Putrawangsa, Susilahudin Ramdhani, Deddy Rina, Nisrina Apriani Ripai Ripai S'aduddin sani, Sani Samsul Bahri Samsul Bahri Samsul Bahri Samudra, Dias Ardian SETAMBAH, MOHD AFIFI BAHURUDIN Siti Maesaroh Sofyan Mahfudy Sucipto, Lalu suhandri, suhandri Sulistina, Linita Susilahudin Putrawangsa Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syawahid, M Tatang Herman, Tatang Vera Mandailina, Vera Wahyudin Wahyudin Wahyudin Wahyudin Wathoni, Muhammad Hizbul Wikasari, Reni Yandika Nugraha Yasmin, Yuli Yuliani, Arpia Zandy, Satila Sufita