Baist, Abdul
Department of Math Education, Muhammadiyah University of Tangerang

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Analysis of Student Difficulties in Computer Programming Baist, Abdul; Pamungkas, Aan Subhan
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

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Abstract

Computer programming skills are required in mathematics computing courses. Most students have difficulty making computer programs. This study aims to identify the difficulties faced by students in making computer programs. This research is descriptive quantitative research. The subjects in this study are students of Mathematics Education Departement, Muhammadiyah University of Tangerang. Based on the results of data analysis, the conclusion is: (1) there are significant differences in multidimensional array material between high, medium and low group; (2) there is a significant difference in input / ouput command material between high, medium and low group; (3) there are significant differences about the difficulties experienced by students in understanding the basic concept of programming between high, medium and low groups; (4) there is a significant difference regarding the difficulties experienced by students in finding the fault of their own programs between high, medium and low groups; (5) there is no significant difference in situations that may assist students in programming for lab work in the high, medium and low groups; (6) there is no significant difference in situations that can assist students in programming to do alone tasks between high, medium and low groups; (7) there is no significant difference in the lack of examples shown when practice makes poor performance in programming between high, medium and low groups; (8) there is no significant difference in what makes poor performance in programming a less conducive atmosphere between high, medium and low groups.
KAJIAN MODEL HIDDEN MARKOV UNTUK MENDUGA VOLATILITAS INDEKS HARGA SAHAM Baist, Abdul
Prima: Jurnal Pendidikan Matematika Vol 5, No 2 (2016)
Publisher : FKIP Universitas Muhammadiyah Tangerang

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Abstract

AbstrakVolatility is a measure of uncertainty. Volatility can either be measured by using the standard deviation or variance between returns. The problem is volatility is unobservable, and estimating volatility is not a trivial task. Therefore, it needs daily volatility proxy as a benchmark in calculating error. This research used daily volatility proxy proposed by Alizadeh, Brandt, dan Diebolt (2002). Hidden Markov model is used for estimating volatility proposed by Rossi and Gallo (2006). Forecasting volatility for LQ45 index using the model performs well. This is indicated by SMAPE (Symmetric Mean Absolute Percentage Error) about 13.62%.Kata kunci: volatility, hidden Markov model, forecasting
DESAIN BAHAN AJAR KOMPUTASI MATEMATIKA BERBANTUAN SOFTWARE MATHEMATICA UNTUK MENGEMBANGKAN KEMANDIRIAN BELAJAR MAHASISWA Baist, Abdul; Firmansyah, Muhammad Arie; Pamungkas, Aan Subhan
FIBONACCI: Jurnal Pendidikan Matematika dan Matematika Vol 5, No 1 (2019): FIBONACCI: Jurnal Pendidikan Matematika dan Matematika
Publisher : Fakultas Ilmu Pendidikan Universitas Muhammadiyah Jakarta

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Abstract

Dasar analisis numerik modern pada saat ini adalah komputasi matematika. Kemampuan penyelesaian permasalahan matematika melalui komputasi matematika perlu dimiliki mahasiswa saat ini. Fakta yang ditemukan di lapangan bahwa sebagian besar mahasiswa di Program Studi Pendidikan Matematika Universitas Muhammadiyah Tangerang mendapatkan nilai kurang dari B   pada mata kuliah Komputasi Matematika. Kebutuhan bahan ajar yang dapat membantu mahasiswa dalam mempelajari komputasi matematika secara mandiri sangat diperlukan. Penelitian ini menggunakan metode pengembangan. Kemudahan yang dimiliki oleh software Mathematica dipilih dan digunakan dalam bahan ajar berbantuan software tersebut untuk membantu mahasiswa dalam mempelajari komputasi matematika secara mandiri. Hasil pengujian ahli didapat skor 80%. Hasil pengujian skala kecil didapat skor 90%. Kesimpulan yang didapat dari penelitian ini adalah   bahan ajar komputasi matematika berbantuan software Mathematica untuk mengembangkan kemandirian mahasiswa penggunaannya masuk dalam kategori layak.