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All Journal PROFIT : Jurnal Administrasi Bisnis Jurnal Analisa ALSYSTECH Journal of Education Technology Jurnal Pendidikan MIPA
Fitria, Nida
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Materials Science & Nanotechnology Social Sciences

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Data-Driven Education: Data Processing as a Key to Improving the Quality of Mathematics Education Hartati, Tuti; Fitria, Nida; Harahap, Maulana Al Aziz; Dasari, Dadan
ALSYSTECH Journal of Education Technology Vol 2 No 1 (2024): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v2i1.2361

Abstract

Education is a major pillar in the development of a nation, and the quality of education becomes a key factor in determining the progress of a society. In this digital era, there is a rapid development in the use of information technology, and this has a significant impact on the education sector. The purpose of this study is for data-driven education: data processing as the key to improving the quality of mathematics education. This research uses a mixed method that combines qualitative and quantitative methods. This approach was chosen to address the complexity of data management and the comprehensiveness of this topic. The research begins with an in-depth literature analysis to understand the potential of Data-Driven Education. By using data as a guide, educators can make smarter decisions, detail instructional strategies, and create an educational environment that allows each student to reach his or her full potential. This is done by combining the results of various data of educator learners who can make informational decisions to improve the quality of mathematics learning. The application of data management in the context of mathematics education can provide concrete solutions to overcome challenges and improve the quality of learning. The right use of data provides the basis for smarter decisions and more adaptive learning, creating a learning environment that fits the needs of each student. By integrating Data-Driven Education effectively, we can move towards a more inclusive, personalized and successful mathematics education. The use of data contributes significantly in improving the quality and inclusivity of mathematics education. The integration of data management in mathematics education is a critical step towards a more adaptive, inclusive, and effective education
Improving Learning Outcomes with Supported Liveworksheets: A Constructivist Approach to Teaching Linear Equations of Two Variables System Fitria, Nida; Fitrian, Ressa; Suhendra, Suhendra; Kustiawan, Cece
Jurnal Analisa Vol. 10 No. 1 (2024): Volume 10 Nomor 1 Tahun 2024
Publisher : Department of Mathematics Education, UIN Sunan Gunung Djati Bandung, West Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ja.v10i1.31951

Abstract

Sebagian besar pembelajaran matematika tidak membangun pemahaman siswa tentang fakta, konsep, prinsip, dan kemampuan sesuai dengan apa yang mereka miliki. Penelitian pengembangan ini bertujuan untuk mengembangkan dan menguji kelayakan E-LKPD dengan menggunakan pendekatan konstruktivis yang didukung dengan Liveworksheet pada Sistem Persamaan Linier Dua Variabel. Jenis penelitian ini disebut Research and Develepoment. Model pengembangan yang digunakan adalah ADDIE. Subyek penelitian ini sebanyak 20 siswa kelas VIII di salah satu SMP Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta.  Sebelum dilakukan pengujian, produk diverifikasi oleh ahli materi dan ahli media. Setelah produk dinyatakan valid, dilakukan tes di kelas eksperimen kecil sebanyak 10 siswa dan kelas eksperimen besar sebanyak 23 siswa untuk memperoleh tanggapan evaluasi mengenai kualitas E-LKPD. Analisis data menggunakan analisis deskriptif kualitatif dan kuantitatif dengan cara hasil angket yang diolah dengan perhitungan skala Likert. Hasil penelitian menunjukan bahwa nilai rata-rata ahli sumber daya, sebesar 110 dengan kategori sangat baik, nilai rata-rata ahli media adalah sebesar 89 dengan kategori sangat baik, kelas eksperimen kecil hasil respon siswa dalam adalah 97,7 (Baik), dan hasil respon siswa terhadap eksperimen kelas besar sebesar 96,6 (Baik). Sehingga dapat disimpulkan bahwa, E-LKPD dengan pendekatan konstruktivisme didukung Liveworksheets pada materi SPLDV untuk Kelas VIII layak digunakan dalam pembelajaran matematika. Most mathematics learning does not build students' understanding of facts, concepts, principles, and abilities according to what they have. This development research aims to develop and test the feasibility of Electronic worksheets using a constructivist approach supported by Liveworksheet on Two-Variable Linear Equation System. This type of research called Research and Development. The development model used is ADDIE. The subjects of this study were 20 8th-grade students in one of the junior high schools in Sleman Regency, Yogyakarta. Before testing, the product was verified by material and media experts. After the product was declared valid, tests were conducted in a small experimental class of 10 students and a large experimental class of 23 students to obtain evaluation responses regarding the quality of Electronic worksheets. Data analysis used qualitative and quantitative descriptive analysis using questionnaire results processed with Likert scale calculations. The results showed that the average value of resource experts amounted to 110 (good), the average value of media experts was 89 (good), the small experimental class of student response results was 97.7 (Good), and the results of student responses to large class experiments amounted to 96.6 (Good). It can be concluded that Electronic Worksheets using a constructivist approach is supported by Liveworksheets on Systems of Linear Equations in Two Variables for Grade 8th is suitable for use in mathematics education.
Analyzing Computational Thinking Skills in 7th Grade Students: A Focus on Data Processing in Mathematics Education Fitria, Nida; Jupri, Al; Dahlan, Jarnawi Afgani; Yulianti, Kartika; Iskandar, Idris
Jurnal Pendidikan MIPA Vol 25, No 4 (2024): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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

Abstract

Computational Thinking (CT) skills are essential in mathematics education, particularly in data processing topics. This study aims to analyze the CT skills of 7th-grade junior high school students based on four main components: decomposing, abstraction, pattern recognition, and algorithmic thinking. A qualitative phenomenological approach was employed, involving 14 students selected purposively based on their diverse academic performance levels. Data was collected through classroom observation, CT skill tests focusing on data processing tasks, and in-depth semi-structured interviews to explore students’ problem-solving strategies and cognitive processes. The findings reveal varied CT competencies among students. For decomposing, 29% of students demonstrated high ability, effectively breaking down complex problems into manageable steps, while 36% exhibited moderate skills. In abstraction, the majority (57%) struggled to filter relevant data from irrelevant ones, highlighting this as a key area for improvement. Pattern recognition showed 36% of students in the high category, recognizing and logically explaining data trends, whereas 29% remained in the low category. Algorithmic thinking presented the strongest performance, with 43% of students categorized as high, showcasing structured and logical approaches to solving data-related problems. The study highlights the need for targeted interventions to strengthen abstraction and pattern recognition skills, crucial for comprehensive data analysis. By identifying strengths and weaknesses in CT skills, this research provides insights into designing more effective teaching strategies and developing CT-oriented curricula. The findings contribute to mathematics education by addressing 21st-century skills, equipping students with critical thinking and analytical capabilities needed in a data-driven world.         Keywords: computational thinking, mathematics, data processing, junior high school. DOI: http://dx.doi.org/10.23960/jpmipa/v25i4.pp1809-1823
The Indonesian Capital Market's Reaction to the Decision Regarding the Announcement of the Large-Scale Social Restrictions Fitria, Nida; Damayanti, Cacik Rut
Profit: Jurnal Adminsitrasi Bisnis Vol. 17 No. 2 (2023): Profit : Jurnal Adminsitrasi Bisnis
Publisher : FIA UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.profit.2023.017.02.4

Abstract

The announcement of the first PSBB decision is a non-economic event that can affect stock price movements. Signaling theory is the basis of this research. The latest information signals that the regional quarantine announcement can affect the stock price index movement in the capital market. Abnormal returns and trading volume activity are indicators that measure the reaction rate of a stock in the capital market. This study aims to determine whether there is an average abnormal return and trading volume activity before and after the announcement of the PSBB decision. This research is an event study that studies the market reaction with a quantitative approach. The population and sample in this study are company stocks listed on the LQ45 index for February - July 2020 using the Purposive Sampling technique. The research period is five days before and after the event (a total of ten days). The hypothesis test used is the Wilcoxon Signed Rank Test. The result was differences in abnormal returns before and after the event. The Wilcoxon signed rank test results on the trading volume activity variable did not find any significant difference in trading volume before and after the announcement regarding the initial PSBB decision.
Co-Authors Cece Kustiawan Dadan Dasari Damayanti, Cacik Rut Fitrian, Ressa Harahap, Maulana Al Aziz Iskandar, Idris Jarnawi Afgani Dahlan Kartika Yulianti Suhendra Suhendra Tuti Hartati