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<h3 style="margin: 0em 1em 0.25em 0em; padding-top: 0.75em; font-family: Cuprum, sans-serif; font-size: 1.8em; color: rgb(51, 51, 51);"> HUBUNGAN INDEKS PRESTASI KOMULATIF (IPK) DAN LAMA STUDI TERHADAP NILAI UJIAN KOMPREHENSIF MAHASISWA PROGRAM STUDI PENDIDIKAN MATEMATIKA</h3>
<p> Pergerakan harga penutupan IHSG sangat penting bagi investor dalam mengambil keputusan apakah akan menjual, menahan, atau membeli saham sedangkan harga penutupan IHSG ini selalu selalu fluktuatif. Sehingga, pada penelitian ini akan membandingkan dua metode yang dapat digunakan untuk meramalkan harga penutupan IHSG, yaitu Fuzzy Time Series Markov Chain (FTS-MC) dan Average Based Fuzzy Time Series Markov Chain (Average Based FTS-MC). Tujuan penelitian ini adalah untuk menentukan metode yang memiliki tingkat akurasi yang lebih baik diantara FTS-MC dengan Average Based FTS-MC dalam meramalkan harga penutupan IHSG. </p>
The aims of the research are to analyze the students learning skill and to know the relationship of learning skill and grade point average. The kind of the research is quantitative in form of correlational research. Research population is 3986 students of Tarbiyah and teacher training faculty in State Islamic Institute of Bukittinggi, meanwhile 5% or 212 students is chosen as research sample.The sampling technique is accidental sampling. Research instrument is questionnaire consisted of 60 statements. Data is analyzed by using descriptive statistic and correlational statistic.Research found the average of students learning skill is categorized into good. Students learning skill analysis can be viewed through 9 indicators consisted of: learning skill, reading skill, questioning skill, taking note skill, learning concentration skill, finishing task skill, learning time management skill, memorizing skill and attending exam skill. Meanwhile, there is low relationship between learning skill and students’ grade point average significantly with correlation coefficient 0,272. From the data above, the contribution of learning skill to students grade point average is 7,4%
JCI's movement is a reference for investors to make decisions on whether to sell, hold, or buy shares. In this study, the Fuzzy Time Series Markov Chain (FTS-MC) and Average Based Fuzzy Time Series Markov Chain (Average Based FTS-MC) methods will be compared in forecasting the closing price of the JCI. These two methods have differences in determining the length of the interval where the length of this interval is very influential in the formation of Fuzzy Logical Relationships (FLR). As a result, the length of the interval will affect the forecasting result of the closing price of the JCI. The data used in the study was the closing price of the JCI from January 2016 to April 2022. The accuracy level of these two methods is viewed based on the Mean Absolute Percentage Error (MAPE) value. The test results showed that the Average Based FTS-MC had a smaller MAPE value, which was 1.590415%. In other words, the accuracy rate of forecasting the closing price of the JCI with the Average Based FTS-MC Method has an excellent accuracy rate of 98.41%.
