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All Journal Simetris Joined Journal (Journal of Informatics Education)
Ratna Dwi Rahayu
Sekolah Tinggi Teknologi Ronggolawe Cepu
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Tingkat Pemahaman Konsep Dasar Kelistrikan Pada Mahasiswa Teknik Elektro Menggunakan Metode Certain of Response Index Ratna Dwi Rahayu
SIMETRIS Vol 14 No 1 (2020): SIMETRIS
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

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Abstract

A study of concept understanding was carried out on Electrical Engineering students about the concept of electricity. This research was conducted to obtain an overview of the level of understanding of the basic concepts of electrical material in Electrical Engineering students at STTR Cepu. To identify the level of understanding of student concepts or student misconceptions on electrical material, multiple choice instruments using the CRI (Certain of Response Index) method are used. The CRI method can also be used to identify students who experience misconceptions, students who understand concepts, and students who do not understand concepts. Based on the research data there are five questions from the basic concept of electricity that students have low conceptual understanding or misconceptions. The results showed that students with a low understanding of the concept of as much as 70% in the concept of electric current, voltage in the circuit, variable resistance, kirchoff law and electric power.
Model Data Mining dan Rasio Altman untuk Prediksi Financial Distress Perusahaan Ratna Dwi Rahayu
Joined Journal (Journal of Informatics Education) Vol 2 No 2 (2019): Volume 2 Nomor 2 (2019)
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.538 KB) | DOI: 10.31331/joined.v2i2.1000

Abstract

Financial distress is the stage or situation of a decline in the company's financial condition before a business failure occurs. This failure is related to liquidation, where the company fails to run its operations for profit. Financial distress prediction methods have been long developed in the field of finance using Multiple Discriminant Analyst (MDA). The most widely used MDA method is the Altman model ratio. This method is used as an early warning to the company's financial condition. This study aims to analyze the neuro fuzzy data mining algorithm with input data from the financial ratio of the Altman model to predict the company's financial distress. Research data are from the Indonesia Stock Exchange (IDX) website at www.idx.co.id. Data population between 2012-2017 LQ45 issuers are 80 companies. Preliminary data from the company's financial statements are calculated by Altman's ratio to get zscore values ??of three types of categories. These values ??are arranged in time series of four backward periods which will be used as input data for the neuro fuzzy algorithm ANFIS model. The next step is the formation of algorithms, training, testing, simulation and model evaluation using the GUI application from the Matlab program. The results of the model are predictive values ??that are compared with the results of the Altman ratio calculation of predicted years. The final results of the study show the predicted value of the ANFIS model of the Triangle membership function looks very optimal, consistent, and efficient. It was proven that the average predicted value of 9.95% was close to the actual value of the calculated year, while the results of the ANFIS model of the Trapezoid, Gauss and G-bell membership functions seemed less than optimal. Keywords: Financial Distress, Neuro Fuzzy, Prediction, Altman Ratio.
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