4 research outputs found
Koneksi Matematis Siswa dalam Pemecahan Masalah Matematika Materi Trigonometri
No full textKoneksi matematis penting untuk dikembangkan pada diri siswa karena akan membantu siswa dalam memahami konsep dan kemudian dapat menghubungkan konsep-konsep matematika maupun konsep lain di luar matematika. Penelitian ini bertujuan untuk mengukur koneksi matematis siswa di Pondok Pesantren AL Adzkia Kepulauan Riau pada materi trigonometri. Pada penelitian ini digunakan tiga soal yang mencakup tiga aspek koneksi matematis yaitu koneksi matematis pada satu topik, koneksi matematis pada topik berbeda dan koneksi matematis pada kehidupan sehari-hari. Hasil pemetaan koneksi matematis ini diperoleh bahwa nilai koneksi matematis siswa pada materi satu topik masih tergolong rendah dengan persentase sebesar 37,5%. Maknanya bahwa siswa masih kurang mampu dalam mengaitkan konsep matematis pada materi satu topik yaitu perbandingan trigonometri. Koneksi matematis siswa pada topik yang berbeda juga masih dikategorikan rendah dengan persentase sebesar 58,3%. Pada aspek ini siswa juga masih kurang mampu mengaitkan konsep trigonometri dengan persegi panjang. Sedangkan nilai koneksi matematis pada kehidupan sehar-hari sudah dapat dikatakan cukup dengan persentase sebesar 70,8%. Hal ini bermakna siswa sudah cukup mampu mengaitkan konsep matematis trigonometri dalam kehiduapn sehari-hari
Optimisasi Portofolio Menggunakan Hidden Markov Model
No full textPortfolio selection problem (or asset allocation) in brief is to determine the proportion of capital to be invested in the se of available assets. Any proportion of capital to be invested will generate return at the end of the investment period. A decision is needed on the proportion of capital that must be invested in each as set such that, at the end of investment period return obtained as high as possible. Return obtained will very according to the stock price in each period. For that we need model that maximizes return obtained. The model used is a model of hidden Markov process which can not be observed (hidden), can be observed through a process that can be observed, with implementation measures (1) Calculated observation probability bay can forward and backward algorithm, (2) Determine hidden state by Viterbi algorithm, (3) Estimate HMM parameters by Baum-Welch algorithm. The result obtained can be used to predict changes in stock prices that resulted in changes in the obtained of return.46 HalamanTesis Magiste
Optimisasi Portofolio Menggunakan Hidden Markov Model
No full textPortfolio selection problem (or asset allocation) in brief is to determine the proportion of capital to be invested in the se of available assets. Any proportion of capital to be invested will generate return at the end of the investment period. A decision is needed on the proportion of capital that must be invested in each as set such that, at the end of investment period return obtained as high as possible. Return obtained will very according to the stock price in each period. For that we need model that maximizes return obtained. The model used is a model of hidden Markov process which can not be observed (hidden), can be observed through a process that can be observed, with implementation measures (1) Calculated observation probability bay can forward and backward algorithm, (2) Determine hidden state by Viterbi algorithm, (3) Estimate HMM parameters by Baum-Welch algorithm. The result obtained can be used to predict changes in stock prices that resulted in changes in the obtained of return.46 HalamanTesis Magiste
The Relationship of Muzakki to Increasing Individual Welfare: Analysis at Baznas Tanjungpinang City
No full textEvery human wants his life to be prosperous because one’s welfare is the characteristic of happiness. Welfare is even a benchmark for the stability of a country. From the Islamic perspective, one way to achieve welfare is to pay zakat. This article describes the relationship of muzakki to increasing individual welfare. The method used in this research is quantitative. The population of this study was non-ASN muzakki, who were registered at the Badan Amil Zakat Nasional (BAZNAS) of Tanjungpinang City as many as 200 muzakki. One hundred thirty-two (132) people were sampled; however, because the method used was purposive sampling, only 44 people were sampled and carried out randomly. The results showed an effect of zakat on the welfare of muzakki (r) of 0.660 percent. The regression line equation with a value of Y = 1.199 + 0.689X means that there is a positive influence between zakat and the welfare of muzakki of 0.689. If you want to improve welfare, muzakki must increase the quantity in zakat; the probability value shows a significant value of 0.019. The considerable value is 0.019 < 0.05, so H1 is accepted
