Perangkat Lunak Untuk Menentukan Chord Dan Bass-Line Pada Suatu Lagu Dengan Pengenalan Pola (Jaringan Saraf)

Aplikasi komputer sudah banyak dipakai dalam bidang musik. Namun belum ada aplikasi komputer yang dapat menentukan chord pada suatu lagu. Pada tugas akhir ini, dibuat aplikasi komputer untuk menentukan chors suatu lagu. Metode yang dipakai adalah dengan pengenalan pola yang menggunakan jaringan saraf ART (Adaptive Resonance Theory). Prinsip kerjanya, pola-pola chord seorang musisi dimasukkan dalam jaringan saraf, lalu pola-pola tersebut digunakan untuk menentukan chord suatu lagu. Aplikasi komputer hasil tugas akhir ini menggunakan MIDI (Musical Instrument Digital Interface) sebagai media input dan output lagu

A Framework for pervasive web content delivery

Ph.DDOCTOR OF PHILOSOPH

Deploying an Ad-Hoc Computing Cluster Overlaid on Top of Public Desktops

A computer laboratory is often a homogeneous environment, in which the computers have the same hardware and software settings. Conducting system tests in this laboratory environment is quite challenging, as the laboratory is supposed to be shared with regular classes. This manuscript details the use of desktop virtualization to deploy dynamically a virtual cluster for testing and ad-hoc purposes. The virtual cluster can support an environment completely different from the physical environment and provide application isolation essential for separating the testing environment from the regular class activities. Windows 7 OS was running in the host desktops, and VMware Workstation was employed as the desktop virtualization manager. The deployed virtual cluster comprised virtual desktops installed with Ubuntu Desktop Linux OS. Lightweight applications using VMware VIX library and shell scripts were developed and employed to manage job submission to the virtual cluster. Evaluations on the virtual cluster’s deployment show that we can leverage on desktop virtualization to quickly and dynamically deploy a testing environment while exploiting the underutilized compute resources

Implementation of Private Cloud for Optimization of Computer Resources at University

The development of computer technology and applications are very rapid, causing the needs of computer use in the organization has increased. The performance of personal computers has increased rapidly, but it cannot be utilized properly. Therefore, personal computers can be used together to perform parallel processing, so that data processing time can be shortened. Private cloud, as an alternative solution to provide cloud services to organizations that are on the same network. The service provided is Infrastructure as a Service (IaaS), where users can request certain types of services and use certain operating systems. Universities have many computers in the laboratory that have considerable resources if they are able to optimize the use of each computer as a processing resource. Supported by high specification on each computer, it is suitable for private cloud implementation. Using the Openstack framework can produce a good enough performance to perform parallel data processing. The test results show that the parallel processing performance works as expected

Computer Science Laboratory Environment Using Docker

Docker is an application that is based on open source technology that allows developers or anyone to create, run, do experiments and launch application in a container. Docker make the process of packaging application components together quickly in an insolated container, so it can run in local infrastructure without changing configuration on the container. Docker is also very light and fast when compared to hypervisor-based virtual machine. A university has a considerable number of students, while the number of computers in the department is not as many as the students. It makes the students not comfortable working on one computer, because configuring a computer on every lesson is different. Therefore, implementation of Docker application carried out in the laboratory. Docker and RAID storage system were implemented, testing was done by measuring the speed of Docker image transfer, and its effectiveness for laboratory programs

Optimization of Computer Resources Using OpenStack Private Cloud

The rapid development of computer technology and applications has caused the increasing need for computer use in an organization. The performance of personal computers has increased rapidly, but they cannot be utilized properly. Therefore, personal computers can be used together to perform parallel processing, in order to shorten data processing time. This paper discusses Private cloud, which could be utilized as an alternative solution to provide cloud services to organizations that are in the same network. The service provided was Infrastructure as a Service (IaaS), where users can request certain types of services and use certain operating systems. Most universities have many computers in the laboratory that have considerable resources for a superb processing potential if they optimized properly. Supported by high specification on each computer, the laboratory is suitable for private cloud implementation. The use of the OpenStack framework can produce sufficient performance to perform parallel data processing. The test results showed that the parallel processing performance worked as expected

Optimization of Computer Resources Using OpenStack Private Cloud

The rapid development of computer technology and applications has caused the increasing need for computer use in an organization. The performance of personal computers has increased rapidly, but they cannot be utilized properly. Therefore, personal computers can be used together to perform parallel processing, in order to shorten data processing time. This paper discusses Private cloud, which could be utilized as an alternative solution to provide cloud services to organizations that are in the same network. The service provided was Infrastructure as a Service (IaaS), where users can request certain types of services and use certain operating systems. Most universities have many computers in the laboratory that have considerable resources for a superb processing potential if they optimized properly. Supported by high specification on each computer, the laboratory is suitable for private cloud implementation. The use of the OpenStack framework can produce sufficient performance to perform parallel data processing. The test results showed that the parallel processing performance worked as expected

Private cloud storage implementation using OpenStack Swift

The use of distributed and parallel computer systems is growing rapidly, requiring an appropriate system to support its work processes. One technology that supports distributed computer systems is cloud computing. This system can generate the need to maximize the use of existing computing resources, one of which is in the form of cloud-based storage. The computer laboratory of Informatics Department of Petra Christian University has very large resources, but they have not been optimized in the utilization of existing storage devices. This condition gives the idea to utilize computers in the laboratory with cloud, so the storage can be used well. This implementation used the OpenStack cloud framework, which could provide IaaS service. From some existing OpenStack services, storage management used OpenStack Swift on its processing. OpenStack Swift is a cloud-based storage service that leverages various computing resources. After the implementation process, testing was done by way of data management, so storage could store, retrieve, and delete data. In addition, testing was also done by turning off some physical machines to ensure cloud services could remain well accessible, and measure the speed of data transfer in cloud storage. The resulting data was used to evaluate the cloud storage systems that had been created

Private Cloud Deployment on Shared Computer Labs

A computer laboratory in a school or college is often shared for multiple class and lab sessions. However, often the computers in the lab are just left idling for an extended period of time. Those are potential resources to be harvested for cloud services. This manuscript details the deployment of a private cloud on the shared computer labs. Fundamental services like operation manager, configuration manager, cloud manager, and schedule manager were put up to power on/off computers remotely, specify each computer’s OS configuration, manage cloud services (i.e., provision and retire virtual machines), and schedule OS switching tasks, respectively. OpenStack was employed to manage computer resources for cloud services. The deployment of private cloud can improve the computers’ utilization on the shared computer labs

East Java Tourism Economic Development through Travel Trip Planner Application using Hybrid Collaborative-Content User Rating on Android

Tourism is a trips activity that made for the purpose of recreation. Generally, before traveling, someone is going to determine the tourism places to be visited and then search for information about these locations. Usually this information is available on the Internet or tourism mobile device applications. Generally, user will determine the places based on something he likes, such as when someone loved quiet and chill place will love to visit tourism location that have mountain sites. Currently, there are only a few applications that have features to provide recommendations tourism location based on user preferences. This research, will initiated Hybrid Collaborative-Content User Rating (HCCUR) methods which will provide tourism places recommendations that compliance with user preferences and tourism places categories, and also consider input from other users (rating) on tourism destination. This HCCUR method will be implemented on android mobile device applications. Tourism data that will be use is tourism places on East Java that already have a variety tourism categories to test the application algorithm. Goal from this application also is to increase the east java province economic development via tourism promotion. The Android application will display several lists tours that suit user preferences, alternative travel route, details and travel information, view the tourism location by using Google Map. From the testing that conduct to 50 potential users, we found that this recommendation application quite able to fulfill the interest of the user