APLIKASI ANTRIAN NASABAH BANK MENGGUNAKAN TEKS DAN SUARA BERBASIS JARINGAN WIRELESS LOCAL AREA NETWORK (WLAN).

PDF (NASKAH PUBLIKASI) NASKAH PUBLIKASI BAMBANG.pdf PDF (PERNYATAAN PUBLIKASI) PERNYATAAN PUBLIKASI BAMBANG SUTIKNO.pdf Restricted to Repository staff only Abstract Karanggede Public Health Centre is an public health service located in Boyolali. As a Public Health Centre in a village, this public service implemented manual queue system (written documentation and announcement by the officer). This system caused various problems those are name missannouncing by the officer, the inequivalence of queue cards amount and the amount of the patient, and the long duration of the patients to take the queue cards. This research aims at creating queue application to overcome those problems.

Method which is used in this research is System Development Life Cycle (SDLC). This application is build by the use of VB 6.0 programming language and MySQL database. Castle zagyg yggsburgh pdf merge. The result of Blackbox testing shows that all the functions of the system run well.

In line with this result the result of the questionnaires given to 15 persons shows the average score 67.8%. In conclusion, this application can operate the queue system well, effectively, and efficiently. Item Type: Karya ilmiah (Diploma) Uncontrolled Keywords: Public health centre, Queue, SDLC, VB 6.0 Subjects: Divisions: Depositing User: Date Deposited: 07 Jun 2017 05:55 Last Modified: 07 Jun 2017 05:55 URI: Actions (login required) View Item.

Abstract Waiting is a boring thing for most people. Moreover, if a person waiting in a very long queue. It provides a deterrent effect because they do not know how much longer they must to wait to get a service.Therefore, they invented a queueing system Android-based application that can provide information on the estimated waiting time for the Customer who is in a queue, so that they can know time estimation when they will be served. Micro xp pro 111b. Android app on this thesis has a feature displays the current queue information required by the Customer and the current estimation waiting time, the queue number being served now, as well as the number of people waiting before the Customer. Customer ticket information delivered to the Android application with a feature of Google Cloud Messaging (push notification). From the test results, the system can generate the estimated waiting time of about 65.51% without tolerance over time and reached 67.95% with a tolerance of +/- 2 minutes.

The results obtained using historical data held by an agency or organization.