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All Journal Momentum: Physics Education Journal Indonesian Journal of Science and Mathematics Education Building of Informatics, Technology and Science
Hikmah, Fitri Nur
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Computer Science & IT Education Mathematics Physics

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Perbandingan Algoritma SVM dan Decision Tree Dalam Klasifikasi Kepuasan Pengguna Aplikasi Migo E-Bike di Playstore Al Azkiah, Dina Sakinah; Erizal, Erizal; Hikmah, Fitri Nur
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5315

Abstract

Currently, transportation has become an essential need in daily life, and the rapid development of digital technology has had a significant impact on the use of services and interaction with mobile applications, including in the transportation sector. The Migo E-Bike app is the first electric bike rental service application in Indonesia, offering environmentally friendly services to reduce air pollution. This research aims to assess the effectiveness of two data mining algorithms, SVM and Decision Tree, in classifying user satisfaction of the Migo E-Bike app based on reviews and ratings on the Playstore. The research findings indicate that the Decision Tree algorithm performs better than SVM. The Decision Tree achieved an accuracy of 76.39%, with balanced precision and recall for both satisfaction categories. In contrast, SVM exhibited significant imbalance with an overall accuracy of only 51.25%. Therefore, the Decision Tree algorithm is more effective in handling the user rating dataset for the Migo E-Bike app.
What do my students need? Deep analysis of student's individual cognitive ability using person diagnostic map Sukarelawan, Moh. Irma; Indratno, Toni Kus; Widodo, Widodo; Dwijananti, Pratiwi; Hikmah, Fitri Nur; Abdullah, Nurul Syafiqah Yap
Momentum: Physics Education Journal Vol. 8 No. 2 (2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v8i2.9900

Abstract

This research aims to evaluate students' conceptual understanding in the field of physics, focusing on the concepts of heat and temperature, using the Person Diagnostic Map (PKMAPs) approach. This method allows individual assessment of students' conceptual understanding, going beyond the limitations of conventional analysis methods that focus on groups. This research used a survey involving eight students from a private university in Yogyakarta, Indonesia. Data was collected through a multiple-choice test of 20 items, processed using Ms. Excel and Winsteps 4.6.1. The research results show that PKMAPs are effective in identifying individual student understanding, including detecting "correct" response patterns resulting from guessing or cheating, as well as "incorrect" response patterns caused by incompetence or inaccuracy. This information allows educators to determine appropriate teaching methods, including remediation, re-teaching, or enrichment, according to each student's individual needs. This research concludes that using the Person Diagnostic Map in the context of physics education provides a more personal and effective approach to analyzing students' conceptual understanding. This method provides deeper insight into students' individual strengths and weaknesses, facilitating more focused and effective learning planning.
Elaboration of High School Student’s Metacognition Awareness on Heat and Temperature Material: Wright Map in Rasch Model Hikmah, Fitri Nur; Sukarelawan, Moh. Irma; Nurjannah, Tri; Djumati, Jamaludin
Indonesian Journal of Science and Mathematics Education Vol. 4 No. 2 (2021): Indonesian Journal of Science and Mathematics Education
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijsme.v4i2.9488

Abstract

This study aims to elaborate on the interaction between students’ metacognitive awareness and the difficulty level of items in Heat and Temperature Metacognition Awareness Inventory (HeTMAI). This study uses a quantitative research method with the type of survey research. The respondents involved were 30 students and came from one the public high schools in eastern Indonesia. Metacognitive awareness was evaluated using the 26-item HeTMAI.  Student responses are administered online, are voluntary and anonymous. The interaction between students’ metacognitive awareness and items in HeTMAI was analyzed using the Wright map based on the Rasch model. The analysis results show that the student’s average ability is 1.00 logit higher than the item difficulty level. The students’ abilities ranged from -1.34 to 5.98 logit, and the item difficulty level ranged from -0.51 to 0.70. In general, it appears that most students tend to agree more easily with the statements in HeTMAI. 
Co-Authors Abdullah, Nurul Syafiqah Yap Al Azkiah, Dina Sakinah Djumati, Jamaludin Erizal Erizal Moh. Irma Sukarelawan Nurjannah, Tri Pratiwi Dwijananti Toni Kus Indratno Widodo Widodo