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An Overview of Students' Conceptual Understanding in Kinematics Using Computer Based Test (CBT) Class XI SMA Negeri 19 Palembang Ketang Wiyono; Sudirman Sudirman; Kristylia Sury; Saparini Saparini; Melly Ariska
JIPF (Jurnal Ilmu Pendidikan Fisika) Vol 6, No 2 (2021): May 2021
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jipf.v6i2.2037

Abstract

This study aims to analyze the category of understanding the concept of kinematics using Certainty of Response Index (CRI) assisted Computer Based Test (CBT) and to determine misconceptions in class XI students of SMA Negeri 19 Palembang. The method used in this research is descriptive and the instrument used in this study is a multiple choice test using CRI and reason. The test was conducted on 57 students from class XI IPA 1 and XI IPA 3. Rasch modeling is used for the processing stage from raw data to logit numbers which will provide information related to infits and outfits in the ministep software besides manual analysis using CRI. The result of the analysis that have been carried out considering students who are outliers or misfits, data from the ministep software and the reasons for the answer given, 41 students are obtained according to the Rasch modeling and 16 students who are outliers or misfits. The result showed that the average score of concept understanding was 23.44%, while for the concept understanding category it was 2.15%, the concept understanding category but not sure was 0.00%, the misconception category was 70.02% and did not understand the concept of 27.83%. The result of the interview found several causes of misconceptions, namely the references form used in the languange in the book was difficult to understand and the learning model usel was not quite right.
Outlier Identification Techniques in Daily Rainfall Data Sudirman Sudirman; Muhammad Irfan; Supari Supari; Baba Musta; Nurul Dzakiya
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 1 (2026): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i1.554

Abstract

A quality test was conducted on daily rainfall data in the Sumatra region to select good data. The data used came from 19 observation stations belonging to the Meteorology, Climatology, and Geophysics Agency (BMKG) spread across the Aceh-Lampung provinces from early 1985 to late 2023. The quality test aims to ensure data reliability, consistency, and validity. Daily rainfall data often face issues such as missing data, unrealistic extreme values, and recording discrepancies, which can reduce the accuracy of climate analysis. The quality test examined data completeness and outliers using the interquartile range. The quality test results showed a data completeness level of 93%, thus declaring the data valid. Outliers were identified in small amounts (<1%) for very high rainfall intensity at the Minangkabau meteorological station in West Sumatra (470 mm/day), the Bengkulu climatological station (400 mm/day), the FL Tobing meteorological station in North Sumatra (430 mm/day), the Fatmawati Soekarno meteorological station in Bengkulu (390 mm/day), the West Sumatra climatological station (320 mm/day), the South Sumatra climatological station (230 mm/day), and the Radin Intan II meteorological station in Lampung (265 mm/day). These values ​​were not removed from the analysis because they passed the data quality test and represented meteorologically realistic extreme rainfall events. The results of the evaluation of daily rainfall data in Sumatra during the study were representative and reliable enough to be used in further climatological analysis.