MODEL KEAMANAN DATA PEMBANGKIT BILANGAN ACAK DENGAN MODIFIKASI URUTAN

Security on data by owned becoming a need and necessity that is very important in all aspects of social life. Security of data and information is a key factor that determines whether the data forefront of the information is still useful and can be used. In the banking world a lot of customer data that must be protected and carefully considered the safety factor like e-banking, sms banking, internet banking, etc. One of the ways to improve data security is with cryptography. This cryptographic technique used to perform the encryption and decryption of data, convert or transform data into a code specific code. This study aims to improve data security level with Pseudorandom Modification Sequence. This algorithm was more safety because it couldn’t be read by anyone except by those who are entitled. The advantage of this encryption technique that uses encryption algorithm is very light but safe in the sense that the results of the encryption can hide the original data into a form that is difficult to translate. The results achieved with this algorithm obtained an accuracy of above 95% to returns to the initial form

Performance And Functional Testing With The Black Box Testing Method

Software testing is an essential stage in software development because it plays a role in maintaining the quality of the software produced. The objective of software testing is for verification and validation, namely ensuring that the software being developed works according to the expected functions when the software is designed. In addition to improving quality, the software being developed must also have minimal errors and test whether the software is feasible to use or not. This research employed the black box testing method. Black box technical testing was a test of the input or output functionality of the software. The research also described the testing model using automated testing, which was carried out by Apache JMeter tools on performance tests and Katalon Studio to functional tests on the Perbanas portal. The final results of this research depicted the test model from studying business processes, creating test scenarios for automated testing to analyzing the test results. The performance test results aimed to find out how much throughput (transactions per second) and Response Time are. Meanwhile, functional test results aimed to find out whether the expected functions and outputs were appropriate or not. The results of the performance test on the login feature that had been carried out, the best was taken, i.e., sample data that entered approximately 5000 samples for 250 users for a load test per 5 minutes; only 0.06% failed with an average of 15 transactions per second (TPS) by a maximum response time of 68 seconds and a minimum response time of 0.2 seconds.  KEYWORDS: Apache JMeter, automation test, black box test, functional test, Katalon Studio, performance tes

Aplikasi Penentuan Rute dan Waktu Tempuh ke Halte Transjakarta Terdekat dengan Algoritma Djikstra Berbasis Location Base System

Saat ini sudah ada aplikasi yang dapat diinstal di ponsel pintar untuk membantu mencari posisi halte terdekat, akan tetapi pengguna harus benar-benar tahu titik keberadaannya saat itu. Hal ini dapat menyulitkan apabila penumpang tersebut adalah pendatang yang tidak mengetahui dengan benar posisinya. Penelitian dengan tujuan menentukan rute dan waktu tempuh ke halte Transjakarta terdekat ini dibuat dengan pendekatan algoritme Dijkstra pada aplikasi mobile di atas platform Android. Aplikasi ini akan dibantu oleh GPS untuk mencari halte terdekat dari posisi pengguna. Aplikasi ini juga dilengkapi dengan deskripsi perjalanan, estimasi waktu tempuh, dan rute alternatif menuju halte Transjakarta. Kelebihan aplikasi ini adalah apabila Wi-Fi atau data seluler tidak berfungsi tetap dapat digunakan karena metode ini akan tetap menunjukkan rute yang perlu ditempuh dengan deskripsi perjalanan yang dimilikinya. Penentuan rute terdekat dalam aplikasi ini tidak perlu menentukan titik akhir seperti halnya aplikasi yang menggunakan algoritme Djikstra lainnya, bahkan dapat memberikan beberapa alternatif halte terdekat. Hal ini dimungkinkan karena aplikasi ini juga menggunakan algoritme Bubblesort untuk mengurutkan halte. Karena tiap halte Transjakarta sudah terintegrasi sehingga kemana pun tujuan dapat diakses dari halte terdekat dan di halte tersebut sudah ada informasi halte transit sesuai dengan tujuan. AbstractCurrently there are applications that can be installed on a smart phone to help find the position of the nearest bus stop, but the user must really know the point of existence at that time. This can be difficult if the passenger is a migrant who does not know his position correctly. The approach used to determine the route and travel time to the nearest Transjakarta bus stop in this study is to use Dijkstra's algorithm on a mobile application on the Android platform. This application will be assisted by GPS to find the nearest stop from the user's position. This application is also equipped with a description of the trip, estimated travel time, and alternative routes to the Transjakarta bus stop. The advantage of this application is that if Wi-Fi or cellular data does not work it can still be used because this method will still show the route that needs to be taken with the description of the trip it has. Determining the closest route in this application does not need to determine the end point as well as applications that use other Djikstra algorithms, can even provide several alternative stops nearby. This is possible because this application also uses the Bubblesort algorithm to sort stops. Because each Transjakarta bus stop has been integrated so that wherever the destination can be accessed from the nearest bus stop and at the stop there is already a transit stop information in accordance with the destination

Expert System with Forward Chaining Method to Estimated Cost of Small and Medium Building Development in Indonesia

The most important part before carrying out the housing construction is to make an estimate of the Budget Plan (RAB).The Budget Plan has variations that vary depending on the type of building, land area, class of building, material to be used in the building. With so many variations, it takes a relatively long time to estimate costs to suit your needs. In this case, an information system for estimating the cost of development can be used practically .Therefore this study will discuss how to create an expert system to determine the estimated cost of development. The development of this system will be used by the Expert System approach .This system starts with determining the cost of using an inference engine as the center of decision making on the expert system combined with facts on the database with a knowledge base to get an answer. The method used as a reasoning process in an inference machine is a forward chaining method. The results to be achieved are a system that can facilitate the users (users) to get an estimate of the cost of building a house to live quickly, and easily that can be done anytime and anywhere without having to consult in advance with an Architectural Consultant services company

Aplikasi Penentuan Rute dan Waktu Tempuh ke Halte Transjakarta Terdekat dengan Algoritma Djikstra Berbasis Location Base System

Saat ini sudah ada aplikasi yang dapat diinstal di ponsel pintar untuk membantu mencari posisi halte terdekat, akan tetapi pengguna harus benar-benar tahu titik keberadaannya saat itu. Hal ini dapat menyulitkan apabila penumpang tersebut adalah pendatang yang tidak mengetahui dengan benar posisinya. Penelitian dengan tujuan menentukan rute dan waktu tempuh ke halte Transjakarta terdekat ini dibuat dengan pendekatan algoritme Dijkstra pada aplikasi mobile di atas platform Android. Aplikasi ini akan dibantu oleh GPS untuk mencari halte terdekat dari posisi pengguna. Aplikasi ini juga dilengkapi dengan deskripsi perjalanan, estimasi waktu tempuh, dan rute alternatif menuju halte Transjakarta. Kelebihan aplikasi ini adalah apabila Wi-Fi atau data seluler tidak berfungsi tetap dapat digunakan karena metode ini akan tetap menunjukkan rute yang perlu ditempuh dengan deskripsi perjalanan yang dimilikinya. Penentuan rute terdekat dalam aplikasi ini tidak perlu menentukan titik akhir seperti halnya aplikasi yang menggunakan algoritme Djikstra lainnya, bahkan dapat memberikan beberapa alternatif halte terdekat. Hal ini dimungkinkan karena aplikasi ini juga menggunakan algoritme Bubblesort untuk mengurutkan halte. Karena tiap halte Transjakarta sudah terintegrasi sehingga kemana pun tujuan dapat diakses dari halte terdekat dan di halte tersebut sudah ada informasi halte transit sesuai dengan tujuan. AbstractCurrently there are applications that can be installed on a smart phone to help find the position of the nearest bus stop, but the user must really know the point of existence at that time. This can be difficult if the passenger is a migrant who does not know his position correctly. The approach used to determine the route and travel time to the nearest Transjakarta bus stop in this study is to use Dijkstra's algorithm on a mobile application on the Android platform. This application will be assisted by GPS to find the nearest stop from the user's position. This application is also equipped with a description of the trip, estimated travel time, and alternative routes to the Transjakarta bus stop. The advantage of this application is that if Wi-Fi or cellular data does not work it can still be used because this method will still show the route that needs to be taken with the description of the trip it has. Determining the closest route in this application does not need to determine the end point as well as applications that use other Djikstra algorithms, can even provide several alternative stops nearby. This is possible because this application also uses the Bubblesort algorithm to sort stops. Because each Transjakarta bus stop has been integrated so that wherever the destination can be accessed from the nearest bus stop and at the stop there is already a transit stop information in accordance with the destination