Naser, Abdurrahman Do. Muhamad
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EXPLORING OF JUNIOR HIGH SCHOOL STUDENTS' STATISTICAL LITERACY ABILITIES IN SOLVING STATISTICAL PROBLEM Marchy, Febrinna; Martadiputra, Bambang Avip Priatna; Nurlaelah, Elah; Naser, Abdurrahman Do. Muhamad
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 14, No 2 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v14i2.9757

Abstract

Statistical literacy is crucial in the digital era, where data influences decision-making. However, Indonesian students still struggle with interpreting and critically evaluating statistical information.This research aims to explores the statistical literacy abilities of ninth-grade students in a public junior high school in Bandung. Employing a phenomenological methodology, the study aims to provide a comprehensive description of students' proficiency in statistical literacy, identifying challenges they encounter. Data was collected through tests, interviews, and observations, with four students selected for in-depth interviews based on distinct test responses. The study focuses on five indicators: understanding components of statistics, interpreting messages, communicating messages, making decisions, and critically evaluating statistical information. Results indicate a varying level of statistical literacy among students, with 72.5% understanding statistical components but decreasing proficiency in interpreting (65.2%), communicating (41.7%), making decisions (38.9%), and critically evaluating information (38.0%). Detailed analysis of student responses illustrates conceptual errors and challenges in applying statistical concepts to practical decision-making scenarios. The study emphasizes the importance of developing analytical skills and applying statistical concepts in everyday life to enhance students' ability to critically evaluate information and make informed decisions.Literasi statistik sangat penting di era digital, di mana data memengaruhi pengambilan keputusan. Namun, siswa di Indonesia masih kesulitan dalam menafsirkan dan mengevaluasi informasi statistik secara kritis. Penelitian ini bertujuan untuk mengeksplorasi kemampuan literasi statistik siswa kelas IX di salah satu SMP Negeri di Bandung. Dengan menggunakan metodologi fenomenologi, penelitian ini bertujuan untuk memberikan gambaran komprehensif tentang kemampuan siswa dalam literasi statistik, dan mengidentifikasi tantangan yang mereka hadapi. Data dikumpulkan melalui tes, wawancara, dan observasi, dengan empat siswa dipilih untuk wawancara mendalam berdasarkan tanggapan tes berbeda. Studi ini berfokus pada lima indikator: memahami komponen statistik, menafsirkan pesan, mengkomunikasikan pesan, mengambil keputusan, dan mengevaluasi informasi statistik secara kritis. Hasilnya menunjukkan tingkat literasi statistik yang bervariasi di kalangan siswa, dengan 72,5% memahami komponen statistik tetapi mengalami penurunan kemampuan dalam menafsirkan (65,2%), berkomunikasi (41,7%), membuat keputusan (38,9%), dan mengevaluasi informasi secara kritis (38,0%). Analisis mendalam terhadap respons siswa menggambarkan kesalahan konseptual dan tantangan dalam menerapkan konsep statistik pada skenario pengambilan keputusan praktis. Studi ini menekankan pentingnya mengembangkan keterampilan analitis dan menerapkan konsep statistik dalam kehidupan sehari-hari untuk meningkatkan kemampuan siswa dalam mengevaluasi informasi secara kritis dan membuat keputusan yang tepat.
Mapping The Landscape of Machine Translation Error Research: A Bibliometric Review (1980-2023) Siregar, Sri Dewi Priwarti; Al Farisi, Mohamad Zaka; Naser, Abdurrahman Do. Muhamad
Buletin Al-Turas Vol. 30 No. 1 (2024): Buletin Al-Turas
Publisher : Fakultas Adab and Humaniora, Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/bat.v30i1.32655

Abstract

PurposeDespite machine translation enhances communication process, it faces problems to guarantee accurate translation. Efforts to address these problems have been done by many researchers. The study aimed to reveal a comprehensive bibliometric review considering research trends, publishing contributions, and development in 1980-2023.MethodThis qualitative study made uses of a descriptive research design engaging some research on machine translation errors. This study employed bibliometric analysis to comprehensively examine the landscape of previous research on machine translation errors from 1980 to 2023. Based on a Scopus database, 138 publications were initially identified and subsequently refined to 98 articles that were directly relevant to the research topic. The bibliometric analysis highlighted the intriguing patterns and trends in this field.Results/FindingsThe findings revealed that the year 2021 witnessed the highest number of article publications, totaling 13 articles, indicating a growing interest in the topic. Moreover, a notable citation trend emerged in 2011, with 103 citations, signifying the significance and influence of research related to translation errors in machine translation. China notably emerged as the leading country to publish articles on this subject, with 23 publications and 28 collaborative links established with other countries. Among the 98 journals that published research in this domain, 45 of them were classified as Q1 journals, signifying their high impact and scholarly reputation.ConclusionThe three main aspects comprising errors and human factors, exploration of machine translation, machine learning, and translation languages, and investigations within the field of computational linguistics collectively contributed to a deeper understanding of the complexities and challenges associated with translation errors in machine translation.
The Effect of Prior Knowledge and Learning Motivation on Mathematics Learning Outcomes of Junior High School Students Rianto, Budi; Lutfi, Ahmad; Naser, Abdurrahman Do. Muhamad; Dasari, Dadan
Jurnal Pendidikan MIPA Vol 23, No 4 (2022): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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Abstract

This research aimed to analyze the effect of prior knowledge and learning motivation on the mathematics achievement of junior high school students. This research is a correlational study involving 30 respondents who were taken by cluster random sampling technique. The research instrument consisted of a prior knowledge test and a learning motivation questionnaire. The research data were analyzed using simple and multiple linear regression tests. The results showed that prior knowledge had a strong effect on mathematics achievement (correlation level 0.739) and learning motivation had a very strong effect on mathematics achievement (correlation level 0.806). The results of the multiple regression test show that the prior knowledge and learning motivation simultaneously strongly influence students' mathematics achievement (correlation level 0.837). The results of this study prove that prior knowledge and learning motivation are essential factors in supporting the success of the learning process.Keywords: prior knowledge, learning motivation, mathematics achievement.DOI: http://dx.doi.org/10.23960/jpmipa/v23i4.pp1876-1886