Aplication of Liqu Quese for Light Weight Brick Transportation (Case Study at PT Priority One Indonesia Krikilan No. 28, Driyorejo District, Gresik Regency)

At the location of public queuing services, there are often many customers lining up to be served immediately. This problem also exists in the process of transporting light bricks at PT. Priority One Indonesia. It is not efficient because of the time they can spend doing more important things. In this case, a technology is needed to make it easier for customers to queue. In this study, a web-based or online queuing application called the LiQu application was designed. The output of the LiQu application system is to make the queuing process can be done online, and to conduct customer satisfaction research on the performance of the light brick transportation queue service at PT. Priority One Indonesia. Then perform 2 analysis tests, namely Usability analysis calculating the results of the questionnaire using the Likert Scale Inteval method and Reliability analysis with WAPT 3.1 software testing then calculations using the Nelson model.


INTRODUCTION
Queues are events that we often encounter in various places that provide services to customers, for example in hospitals, toll roads, banks, companies and others. The current industrial competition is not only about a manufacture with other manufacturers, industry players must optimize the best possible service (Febryanto and Prihono, 2021). Queues are important in operations management (Jatmika & Tri prasetyo, 2017). Queuing is an activity where customers wait to get a service (Andika, et.al 2018). At this time in various places Customer Service has implemented a queue system that uses computers to manage queues. Customers take their own queue by pressing a button or screen on the machine or computer and then the queue number will be printed. After that the customer will wait to be called by the customer service.
When the process of queuing is a very tedious thing for customers who make purchases or other activities. Usually it often raises arguments from customers, such as uncomfortable waiting rooms, very long queuing processes, and a queuing system that is less able to provide queuing arrangements for customers.
Companies often experience delays in the service of transporting light bricks and customers are very complaining during the queuing process, namely the long waiting time to transport light bricks or purchase products. Transportation is a reciprocal agreement between the carrier and the sender of goods or services (Fatahillah, 2015).
PT. Priority One Indonesia is a manufacturing company engaged in the Bulding Materials that produces lightweight brick products. PT Priority One Indonesia was established in 2015 which is located on the Krikilan highway, Larangan, Driyorejo District, Gresik Regency, East Java. PT Priority One Indonesia produces lightweight bricks under the Priority one brand. Light weight bricks are bricks that have a density lighter than bricks in general (Tufik, et.al, 2017). lightweight concrete is concrete in its material elements using lightweight aggregate with a concrete density of not more than 1840 kg/m3 (Subagiono et. al 2021).
LiQu application or an abbreviation of Light Queue which is an online queue application, customers only enter the web or  Kesuma & Rahmawati (2017) website is an information page provided via the internet on the information page provided. The LIQU application applied at PT. Priority One Indonesia is expected to be able to facilitate the company in helping to deal with the problem of queuing for the transportation of light bricks at PT. Priority One Indonesia.

Picture 1 Research Design Flowchart
The research uses the calculation method used 2 methods of data analysis Usability and Reliability analysis:

Usability Data Analysis
Usability is one of the determining factors for the success of the system in knowing the high or low level of usability of a system (Alam Supriyatna, 2018). Usability data analysis uses the Likert Scale Inteval method, namely the results of filling out questionnaires to customers who queue for transporting light bricks using the LiQu application at PT . Priority One Indonesia and will be distributed to participants to fill out the questionnaire with a formula.

Data Reliability Analysis
Reliability is the level of ability of a program that is expected to display the intended function with high precision has been established (Ahmad Fatih, 2017). Testing on the reliability aspect uses the software, namely WAPT 3.1 to test the Performance level of the software. This test is used to test the reliability of the subcharacteristics of fault tolerance, maturity, and recoverability. The following is the formula for calculating reliability using the Nelson model: The results of the calculation of the reliability value are then compared with the Telcordia Standard. If the success rate ≥ 95% then the software is said to meet the reliability aspect.

METHOD AND DISCUSSION
a. Homepage   The results of usability testing using a questionnaire that was distributed directly to the respondents in the transportation of lightweight bricks PT. Priority One Indonesia using the LIQU application. With a total of 30.

g. Usability Analysis
The presentation of usability data is obtained from the distribution of questionnaires that have been distributed to 30, can be seen in the The results of the Usability Test for calculating the score of each question that has been asked to 30 respondents are as follows: The number obtained from the questionnaire is 978. The value is in the range of 963 -1203.

h. Reliability Analysis
The presentation of reliability data is obtained from testing the WAPT 3.1 software to determine the performance of the LIQU application which is shown in the figure:  Application) The following table is a calculation of the results of Performance testing:   application is less than one so it can be said that the lightweight brick transportation queuing system at PT. Priority One Indonesia meets steady state conditions, which means that the average level of buyer arrivals does not exceed the average level of service. The time required for light brick transportation services is assumed to be exponentially distributed. In this test, an alpha (α) of 5% or 0.05 is used. From the research data, the pattern of each customer arrival per 30 minute interval is then used to test the exponential distribution as follows: H0 : Queuing time using the LIQU application with exponential distribution H1 : Queuing time using Liqu application is not exponentially distributed.