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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika International Journal on Emerging Mathematics Education Journal of Research in Mathematics Trends and Technology
Dwi Aldi Hidayatulloh
Universitas Negeri Malang
Decision Sciences, Operations Research & Management Education Mathematics

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KECERDASAN LOGIS MATEMATIS SISWA DALAM MENYELESAIKAN MASALAH KONTEKSTUAL Dwi Aldi Hidayatulloh; Erry Hidayanto; Santi Irawati
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 13, No 4 (2024)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v13i4.9058

Abstract

Seringkali siswa masih kesulitan memecahkan masalah kontekstual. Hal ini terungkap dari hasil studi pendahuluan ditemukan bahwa sebagian besar siswa belum mampu melakukan penalaran deduktif untuk menemukan solusi. Oleh karena itu, diperlukan penelitian untuk mengeksplorasi bagaimana kecerdasan logis matematis siswa dalam menyelesaikan masalah kontekstual. Tujuan penelitian ini yaitu untuk mendeskripsikan kecerdasan logis matematis siswa dalam menyelesaikan masalah kontekstual. Penelitian ini menggunakan pendekatan kualitatif dengan metode analisis deskriptif. Penelitian dilaksanakan di SMP Negeri 3 Batu tahun ajaran 2023-2024. Terdapat 31 responden dan dipilih tiga subjek penelitian yang mewakili masing-masing satu siswa dari kategori kecerdasan logis matematis. Instrumen penelitian terdiri dari angket persepsi kecerdasan logis matematis, tes kecerdasan logis matematis dan pedoman wawancara. Data tersebut dianalisis menggunakan teknik triangulasi. Hasil penelitian menunjukan siswa dengan persepsi kecerdasan logis matematis tinggi mampu memenuhi semua indikator kecerdasan logis matematis dalam menyelesaikan masalah kontekstual. Siswa dengan persepsi kecerdasan logis matematis sedang memenuhi indikator mampu mengidentifikasi informasi yang terdapat pada permasalahan dengan lengkap, mampu melakukan operasi numerik dan mampu membuat kesimpulan jawaban dari permasalahan dan cukup mampu melakukan penalaran secara deduktif. Siswa dengan persepsi kecerdasan logis matematis rendah hanya mampu memenuhi indikator mengidentifikasi informasi yang terdapat pada permasalahan. Often students still have difficulty solving contextual problems. This was revealed from the results of the preliminary study which found that the majority of students were not able to carry out deductive reasoning to find solutions. Therefore, research is needed to explore how students' mathematical logical intelligence in solving contextual problems. The aim of this research is to describe students' mathematical logical intelligence in solving contextual problems. This research uses a qualitative approach with descriptive analysis methods. The research was carried out at SMP Negeri 3 Batu in the 2023-2024 academic year.   There were 31 respondents and three research subjects were selected representing one student each from the mathematical logical intelligence category. The research instrument consisted of a mathematical logical intelligence perception questionnaire, a mathematical logical intelligence test and an interview guide. The data was analyzed using triangulation techniques. The research results show that students with a high perception of mathematical logical intelligence are able to fulfill all indicators of mathematical logical intelligence in solving contextual problems. Students with the perception of moderate mathematical logical intelligence meet the indicators of being able to identify the information contained in the problem completely, being able to carry out numerical operations and being able to draw conclusions about answers to problems and being quite able to carry out deductive reasoning. Students with a perception of low mathematical logical intelligence are only able to fulfill the indicators of identifying the information contained in the problem.
Fuzzy Logic in Education: Profile of Students’ Readiness to Prepare for Test-Based National Selection in Study Centers Dwi Aldi Hidayatulloh; Sikky El Walida; Sandha Soemantri; Abdur Rohim
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 2 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i2.22107

Abstract

Test-Based National Selection demands students' readiness not only in material mastery, but also in critical thinking skills and high-level problem solving. Tutoring institutions have become a popular choice to improve students' readiness to face the selection, but evaluating students' readiness objectively and adaptively is still a challenge. This research develops a decision support system model based on Mamdani type fuzzy inference system to evaluate students' readiness for Test-Based National Selection. Two main indicators are used as linguistic input variables, namely study frequency and try out results. The modeling process is carried out qualitatively with the stages of fuzzification, IF-THEN rule base formulation, Mamdani inference, and defuzzification using the centroid method. Data is processed with the help of Microsoft Excel as a fuzzy logic processing tool. The results of the implementation on 30 students showed that the system was able to classify the level of readiness into three categories: not ready, moderately ready, and ready, with high precision and flexibility to data uncertainty. The findings suggest that fuzzy models can be used as adaptive and contextualized evaluation tools in tutoring environments, and support data-driven instructional decision-making.
Exploring students' mathematical reasoning in solving geometry start-unknown problems Devi Rahayu Agustin; Yudi Yunika Putra; Dwi Aldi Hidayatulloh
International Journal on Emerging Mathematics Education IJEME, Vol. 10 No. 1, March 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijeme.v10i1.31256

Abstract

Mathematical reasoning is an essential cognitive skill that supports students' ability to solve complex problems. This study aims to explore the mathematical reasoning of junior high school students in solving start-unknown problems in the context of geometry. A qualitative case study approach was used, with two students selected as subjects from 62 respondents based on purposive sampling techniques. Data collection was conducted through mathematical reasoning tests and semi-structured interviews. Data were analyzed using the Miles and Huberman model, while validity was tested through source triangulation. The results showed that subjects in the prima category were able to meet all reasoning indicators comprehensively, supported by good conceptual understanding and metacognitive reflection. Conversely, subjects in the prima-partial category tended to solve problems procedurally without a deep understanding of geometric representations. These findings emphasize the importance of applying backward reasoning strategies and multiple-answer approaches in geometry learning to develop higher-level mathematical reasoning. The implications of this study point to the design of more adaptive learning and encourage the need for longitudinal studies to observe students' reasoning development continuously.
Co-Authors Abdur Rohim Devi Rahayu Agustin Erry Hidayanto Sandha Soemantri, Sandha Sikky El Walida Yudi Yunika Putra, Yudi Yunika