Modified weighted for enrollment forecasting based on fuzzy time series

The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on fuzzy time series. By using the enrollment of the University of Alabama and Universiti Teknologi Malaysia (UTM), as data sets for training and testing, the performance of the adoption approach has been shown much improvement in terms of MSE (Mean Square Error) and average error of forecasting measurements

PENGARUH METODE LATIHAN BERPASANGAN TERHADAP PENINGKATAN KETERAMPILAN PASSING PADA PERMAINAN SEPAKBOLA UNM FC

Riswan Efendi. 2020. Pengaruh Metode Latihan Berpasangan terhadap Peningkatan Keterampilan Passing pada Permainan Sepakbola UNM FC. Skripsi. Jurusan Pendidikan Jasmani, Kesehatan dan Rekreasi. Fakultas Ilmu Keolahragaan. Universitas Negeri Makassar. (dibimbing oleh Sudirman dan H. Djen Djalal) Penelitian ini bertujuan untuk mengetahui: (1) Pengaruh kelompok kontrol (tanpa latihan berpasangan) terhadap peningkatan keterampilan passing pada permainan sepakbola UNM FC; (2) Pengaruh kelompok eksperimen (latihan berpasangan) terhadap peningkatan keterampilan passing pada permainan sepakbola UNM FC; dan (3) Perbedaan pengaruh kelompok kontrol (tanpa latihan berpasangan) dan kelompok eksperimen (latihan berpasangan) terhadap peningkatan keterampilan passing pada permainan sepakbola UNM FC. Populasi penelitian ini adalah seluruh atlet sepakbola UNM FC dengan jumlah sampel penelitian 20 atlet dipilih secara total populasi. Teknik analisis data yang digunakan adalah teknik analisis deskriftip, uji normalitas data, uji homogenitas dan uji t dengan menggunakan program SPSS. Hasil penelitian menunjukkan bahwa ; (1) Ada pengaruh kelompok kontrol (tanpa latihan bnerpasangan) terhadap peningkatan keterampilan passing pada permainan sepakbola UNM FC. Peningkatan keterampilan passing dalam permainan sepakbola UNM FC terbukti dengan adanya peningkatan dari nilai rata-rata 10,6000 meningkat menjadi 15,3000 dengan nilai tobservasi -9,945 lebih besar daripada ttabel 2,262 dengan tingkat probabilitas 0,000 < α0,05; (2) Ada pengaruh kelompok eksperimen (latihan bnerpasangan) terhadap peningkatan keterampilan passing pada permainan sepakbola UNM FC. Peningkatan keterampilan passing dalam permainan sepakbola UNM FC terbukti dengan adanya peningkatan dari nilai rata-rata 10,5000 meningkat menjadi 18,7000 dengan nilai tobservasi -18,543 lebih besar daripada ttabel 2,262 dengan tingkat probabilitas 0,000 < α0,05; dan (3) Ada perbedaan pengaruh antara kelompok kontrol dan kelompok eksperimen terhadap peningkatan keterampilan passing dalam permainan sepakbola UNM FC. Peningkatan keterampilan passing dalam permainan sepakbola UNM FC sebesar 15,3000 > 18,7000 dengan nilai tobservasi -3,850 lebih besar daripada ttabel 2,101 dengan tingkat probabilitas 0,001 < α0,05. Kesimpulan bahwa kelompok eksperimen memiliki pengaruh yang lebih besar dibandingkan dengan kelompok kontrol terhadap peningkatan keterampilan passing dalam permainan sepakbola UNM FC. KATA KUNCI: Latihan Berpasangan dan Keterampilan Passin

Determinant of the Study Period for Mathematics Education Students at IAIN Bukittinggi Based on CHAID Method

The study period of study program graduates is one of the accreditation assessments carried out by The Independent Accreditation Agencies for Education or LAMDIK. The graduates have a study period is less than five years getting the highest point in the assessment matrix for criterion 9, namely tri-dharma outputs and achievements. However, most study program graduates from various universities in Indonesia completed their studies more than 4 years. This case also happened to graduates of Mathematics Education at IAIN Bukittinggi. There were 70% of graduates who completed their studies more than 4 years. The aim of this research was to determine factors that influence the graduates’ study period and their characteristics who were able to complete their studies for 4 years. This research was descriptive quantitative with a correlation study of 10 independent variable factors that affect the study period. By using total sampling, there were 340 graduates of Mathematics Education as a sample of this research. Documentation and questionnaires were used to collect the data. Then, the CHAID method was used to analyze the data. The result showed that, first, there were 5 independent variables that affect the graduates’ study period, namely the period of thesis completion, the gender, the major of high school, the mother’s occupation, and the track of university entrance. Second, there were 2 characteristics in which students can complete their studies for 4 years with a confidence level of 74,3%.  Keywords: Study Period, Mathematics Education Students, CHAID Metho

Non-Probabilistic Inverse Fuzzy Model in Time Series Forecasting

Many models and techniques have been proposed by researchers to improve forecasting accuracy using fuzzy time series. However, very few studies have tackled problems that involve inverse fuzzy function into fuzzy time series forecasting. In this paper, we modify inverse fuzzy function by considering new factor value in establishing the forecasting model without any probabilistic approaches. The proposed model was evaluated by comparing its performance with inverse and non�inverse fuzzy time series models in forecasting the yearly enrollment data of several universities, such as Alabama University, Universiti Teknologi Malaysia (UTM), and QiongZhou University; the yearly car accidents in Belgium; and the monthly Turkish spot gold price. The results suggest that the proposed model has potential to improve the forecasting accuracy compared to the existing inverse and non-inverse fuzzy time series models. This paper contributes to providing the better future forecast values using the systematic rules. Keywords: Fuzzy time series, inverse fuzzy function, non-probabilistic model, non-inverse fuzzy model, future forecas

Prediction of Malaysian–Indonesian Oil Production and Consumption Using Fuzzy Time Series Model

Fuzzy time series has been implemented for data prediction in the various sectors, such as education, finance-economic, energy, traffic accident, others. Moreover, many proposed models have been presented to improve the forecasting accuracy. However, the interval-length adjustment and the out-sample forecast procedure are still issues in fuzzy time series forecasting, where both issues are yet clearly investigated in the pre�vious studies. In this paper, a new adjustment of the interval-length and the partition number of the data set is proposed. Additionally, the determining of the out-sample forecast is also discussed. The yearly oil production (OP) and oil consumption (OC) of Malaysia and Indonesia from 1965 to 2012 are examined to evaluate the performance of fuzzy time series and the probabilistic time series models. The result indicates that the fuzzy time series model is better than the probabilistic models, such as regression time series, exponential smoothing in terms of the forecasting accuracy. This paper thus highlights the effect of the proposed interval length in reducing the forecasting error sig�nificantly, as well as the main differences between the fuzzy and probabilistic time series models. Keywords: Fuzzy time series; index of linguistic; oil production–consumption; interval�length; forecasting accurac