Claim Missing Document
Check
Articles

Found 13 Documents
Search

Unveiling the TPACK profile: Exploring mathematics prospective teachers in the micro teaching course Sartika, Nenden Suciyati; Munawaroh, Tatu; Meika, Ika; Mauladaniyati, Ratu; Yunitasari, Ika; Sahrudin, Asep; Sujana, Asep; Rifa’i, Rusdian; Rosdianwinata, Eka; Pratidiana, Deni; Mulyanah, Mulyanah
Jurnal Riset Pendidikan Matematika Vol 10, No 2: November 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jrpm.v10i2.64215

Abstract

The objective of this research is to ascertain the Technological Pedagogical Content Knowledge (TPACK) profile of prospective mathematics teachers in the microteaching course. The research methodology employed a survey research design. The target population for this investigation comprises prospective mathematics teacher students enrolled at a University in Banten, Indonesia. The sample for this study comprises students in their sixth semester of the Mathematics Education program who are currently enrolled in the microteaching course. The inclusion criteria for the sample require that these students have successfully completed coursework in foundational technology use, pedagogical principles, and both basic and advanced mathematics subjects. The research findings indicate that the majority of students exhibit a high level of Technological Content Knowledge (TCK) and Technological Pedagogical and Content Knowledge (TPACK), with percentages of 50% and 81.25% respectively. On the other hand, the majority of students demonstrate a moderate level of Pedagogical Knowledge (PK) and Technological Pedagogical Knowledge (TPK), with percentages of 56.25% and 31.25% respectively. Moreover, a significant portion of students show a low level of Technological Knowledge (TK) at 31.25%, Content Knowledge (CK) at 37.5%, and Pedagogical Content Knowledge (PCK) at 37.5%. It conluded, most prospective tezchers use the Technological Conten Knowledge (TCK) and Technological Pedagogical and Content Knowledge (TPACK) domains to conduct learning.
Analisis Customer Behavior BPJS Ketenagakerjaan: Menentukan Strategi Pelayanan melalui Big Data Analytics Wendy Destean; Mauladaniyati, Ratu
Jurnal Jamsostek Vol. 3 No. 1 (2025): Juni
Publisher : BPJS Ketenagakerjaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61626/jamsostek.v3i1.108

Abstract

Menghadapi era Volatility, Uncertainty, Complexity, and Ambiguity (VUCA), data menjadi semakin kompleks, sulit diolah, dipahami dan diinterpretasikan. Data historis layanan, seperti pola kunjungan, kelompok usia, dan kebutuhan pelanggan dapat dianalisis untuk memahami customer behavior. Penelitian ini bertujuan memberikan gambaran mengenai pemanfaatan big data analytics untuk merumuskan strategi pelayanan berbasis customer behavior. Penelitian dilakukan di Kantor Cabang BPJS Ketenagakerjaan Madiun dengan menerapkan metode deskriptif melalui big data analytics, yang meliputi tahap data preparation, data visualization, dan data analysis. Hasil studi menunjukkan bahwa penerapan big data analytics dapat memberikan wawasan yang bernilai tentang customer behavior peserta BPJS Ketenagakerjaan, sehingga dapat dijadikan acuan dalam menentukan strategi pelayanan yang lebih efektif dan efisien. Berdasarkan hasil analisis data, disimpulkan bahwa penambahan personel layanan diperlukan setiap awal bulan untuk mengantisipasi lonjakan kunjungan peserta. Informasi terkait perubahan skema layanan juga perlu disosialisasikan setidaknya dua bulan sebelum diberlakukan, untuk memberi waktu kepada peserta memahaminya. Strategi Direct Information Services disarankan bagi peserta yang berusia lebih dari 42 tahun, karena jumlah kunjungan atas permintaan informasinya yang tinggi. Selain itu, direkomendasikan melakukan pemutakhiran aplikasi Jamsostek Mobile (JMO) menjadi lebih user-friendly bagi Generasi Z dan Milenial. Pemantauan JMO secara rutin juga perlu dilakukan untuk memastikan keandalan performanya.
Prospective Mathematics Teachers’ Digital Literacy through Web-based Learning Mauladaniyati, Ratu; Sartika, Nenden Suciyati; Perbowo, Krisna Satrio; Wahyudin, Wahyudin; Cahya, Endang
International Journal on Emerging Mathematics Education IJEME, Vol. 6 No. 1, March 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijeme.v6i1.21485

Abstract

This study aims to describe the digital literacy of prospective mathematics teachers who are conducting web-based learning in the new normal era. This research is classified as a qualitative descriptive research, data collected through surveys and interviews. The research subjects were 4th semester students of the mathematics education study program. Subjects were taken using purposive sampling technique for filling out the questionnaire and then 5 students were randomly selected to be interviewed. The results showed that the digital literacy of prospective mathematics teachers in web-based learning in the new normal era was quite good, this was evidenced by the results of student questionnaires which showed positive categories on each indicator. In addition, the cumulative percentage of students on the indicator of basic ability to use the internet (81.08%), on the indicator of the ability to seek and obtain information (75.32%), on the indicator of skills in choosing frequently used information sources (59.49%) and cumulative percentage of ability to use information effectively (81.87%). This is reinforced by the results of interviews with students which showed that the five students were able to achieve these four indicators.