CURRENCY EXCHANGE RATE FORECASTING USING ARTIFICIAL NEURAL NETWORKS BACKPROPAGATION METHOD

ABSTRACT Since 1997, the rupiah currency has a tendency to change at any time since the economic crisis that hit Indonesia. One of the currencies of the most widely traded on international exchange market is the U.S. dollar. This paper will forecast the exchange rate by using back propagation neural networks. Variables that affecting currency exchange rates is inflation, gross national product and interest rates. After performing data processing with the help of software VB.net forecasting results and forecasting program will be displayed online using PHP to construct the webpage. Keywords: currency exchange rates forecasting, back propagation, webpage desig

Perancangan dan pembuatan aplikasi simulasi sistem penunjuk jalan kota Surabaya dalam visualisasi 3D

Pembuatan aplikasi system penunjuk jalan dengan memanfaatkan fasilitas GPS telah pernah dibuat sebelumnya. Tetapi sejauh ini, pada umumnya fasilitas yang tersedia dalam visualisasi 2D. Dalam Tugas Akhir ini, dikembangkan lebih lanjut sistem penunjuk jalan dengan memanfaatkan fasilitas GPS dalam visualisasi 3D. Hal ini dapat membantu user agar lebih mudah mngeikuti petunjuk jalan yang dilalui. Tugas Akhir ini merupakan kelanjutan dari Tugas Akhir sebelumnya yaitu tGPS (Budianto, 2006). Dalam pembuatan aplikasi ini, proses penggambaran visualisasi 3D menggunakan OpenGL. Proses dimulai dengan mengambil data berupa titik rute awal dan titik rute tujuan. Kemudian pencarian rute dilakukan dengan menggunakan Algoritma A*. Setelah rute yang akan dilalui ditemukan, dilakukan proses penggambaran pada peta yang kemudian diteruskan dengan penggambaran jalan dalam bentuk 3D. Peta digital yang digunakan adalah peta Surabaya yang berupa gabungan dari 2 buah shapefile. Berdasarkan hasil pengujian aplikasi, dapat disimpulkan bahwa aplikasi ini dapat menunjukkan jalan dari posisi awal user menuju ke posisi tujuan yang diinginkan user. Perbandingan jarak pada visualisasi dan pada peta adalah sama dengan sudut belokan yang sama pula

The role of Perceived Social Support on Resilience in Emerging Adulthood After Sports Injury.

Sports is a necessity for everyone who wants their body to always be healthy and fit. However, individuals still have the possibility of get injuries. It is not uncommon that when an individual is in the healing stage, the individual cannot immediately accept the changing condition of their body and their motivation to recover decreases. So individuals need an ability that can help them to rise, develop and recover as before. This ability itself is called resilience. In increasing resilience, individuals need social support that comes from family, friends and special people (significant others), which is called perceived social support. This research will look at the role of perceived social support on emerging adulthood resilience after sports injury. The research method use a quantitative method with emerging adulthood respondents (18-25 years) in Jabodetabek. Perceived social support will be measured using the Multidimensional Scale of Perceived Social Support (MSPSS) which has been adapted by Harefa (2020). Resilience will be measured using the Resilience scale which has been adapted by Paramita (2012)

Data

This component comprises of the data collected for this stud