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ComTech: Computer, Mathematics and Engineering Applications
ISSN : 20871244     EISSN : 2476907X     DOI : -
The journal invites professionals in the world of education, research, and entrepreneurship to participate in disseminating ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food Technology, Computer Science, Mathematics, and Statistics through this scientific journal.
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Articles 6 Documents
Search results for , issue "Vol. 12 No. 2 (2021): ComTech" : 6 Documents clear
Dynamical Modeling of COVID-19 and Use of Optimal Control to Reduce the Infected Population and Minimize the Cost of Vaccination and Treatment Yohannes Dhimas Mahardika
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.6466

Abstract

The research described a model formulation of COVID-19 using a dynamic system of Ordinary Differential Equation (ODE) which involved four population systems (susceptible, exposed, infectious, and recovered). Then, the research analyzed the direction of the equilibrium, Disease Free Equilibrium (DFE), and Endemic Equilibrium (EE). The treatment and vaccination were the control functions applied to the dynamical system modeling of COVID-19. The research was done by determining dimensionless number R0 or Basic Reproduction Number and applying optimal control into the dynamical system using the Pontryagin Minimum Principle. Numerical calculations were also performed to illustrate and compare the graph of the dynamical system with and without a control function. From the results, there is a reduction in the number of susceptible and infected populations. It indicates that giving vaccines to susceptible populations and treating infected populations affect the number of susceptible and infected populations. It also means thatthis control can reduce the spread of the virus.
Evaluation of Online-Based Ride-Hailing Services Using Service Quality (Servqual) Method, Refined Kano Model, Importance Performance Analysis (IPA), and Quality Function Deployment (QFD): A Case Study of Grab Bike Indonesia Dino Caesaron; Jessie Makapedua; Rio Prasetyo Lukodono
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.6790

Abstract

The rapid development of the service industry in Indonesia is seen from the emergence of several companies in the transportation sector based on online applications. To compensate for the public needs of these services, the company needs to maintain customer satisfaction from the service performance. The research aimed to evaluate the quality of transportation services at Grab Bike Indonesia. By using quantitative and qualitative approach, the research applied Service Quality (Servqual) analysis for the level of perceived satisfaction, Refined Kano model for the role of each attribute to customer satisfaction, Importance Performance Analysis (IPA) for the priority of improvements, and Quality Function Deployment (QFD) for the technical steps of improvement. Servqual analysis shows 36 service attributes that need to be improved, particularly 16 service attributes with high gap scores. Furthermore, there are 5 attributes classified as major influencing attributes on customer satisfaction based on Refined Kano analysis. These factors also need to be improved in the IPA category. From the results of QFD, it suggests that the company should consider the technical steps of improvement. For example, the company should provide regulations that drivers must obey, have driving standards, strict sanctions for every violation of rules, initial training for drivers, and utilization of GPS properly, provide an easy way for customer feedback, and others.
Redesign of E-Commerce Mobile Application with Design Thinking Method: A Case Study of RP2, Online Household Retailer Natalia Limantara; Renaldi Renaldi; Cynthia Filicia
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.6851

Abstract

RP2 is one of the growing e-commerce sites in Indonesia offering products for home and living. Recently, RP2 launches a mobile application to reach users by using mobile devices to facilitate purchases on RP2. However, the development of this mobile application has not been through a good application development process, so several weaknesses are found. The aim of the research was to redesign the RP2 mobile application using the design thinking method. The method had five stages: empathize, define, ideate, prototype, and test. However, the research only focused on the first four stages. Moreover, a survey using a questionnaire and interviews were done with 34 users of the RP2 mobile application. The research results are a prototype of the RP2 mobile application, which has been tailored to users’ needs and the project owner’s input. Changes have been made to the RP2 mobile application using the design thinking method. Changes are applied in several views, such as home, navigation and notifications, search bar, Product Detail Page (PDP), cart and payment, and profiles. With these changes, it is expected that users of the RP2 mobile application will increase, so the number of transactions through the RP2 mobile application will increase too.
Clustering Regency and City in East Java Based on Population Density and Cumulative Confirmed COVID-19 Cases Khusnia Nurul Khikmah; A'yunin Sofro
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.6891

Abstract

Coronavirus is a big family of viruses that causes acute respiratory syndrome and mediates human-to-human by the environment. A factor that affects the spread of infectious diseases is population density. Therefore, it is necessary to study the effect of population density on infectious diseases like COVID-19. The research analyzed the effect of the population density of each regency in East Java on cumulative confirmed COVID-19 cases until December 9, 2020. The research applied quantitative method using the agglomerative hierarchical clustering method. The clustering method included single, average, and complete linkages. The results of clustering using single linkage and average linkages have the same results for the population density of Jember Regency. This regency has the lowest effect for the cumulative confirmed COVID-19 cases. Then, complete linkage obtains that Banyuwangi Regency and Gresik Regency has the population density with the lowest effect for the cumulative number of confirmed COVID-19 cases. The results of clustering with single, average, and complete linkages have the same results for population density with a big effect on the cumulative number of confirmed COVID-19 cases in Surabaya City. The results of best clustering regencies or cities that population density affects the number of
Design of Experiment (DOE) Analysis with Response Surface Method (RSM) to Optimize the Electroplating Parameter Adi Permana; Humiras Hardi Purba; Sawarni Hasibuan
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.6998

Abstract

Identifying optimum process parameters, their effects, and contributions to the outcomes of electroplating thickness in the electroplating process is very time-consuming and requires high cost. Small Medium Enterprises (SMEs) use a traditional approach in determining optimum process parameters that can lead to an inefficient result, such as a high variation in the response. Design of Experiment (DOE) can identify the significant factors in the process, show the correlation of each factor, and determine the optimum process parameter to achieve the targeted response (thickness). The research aimed to use DOE analysis with Response Surface Method (RSM) to optimize the electroplating parameter. It was experimental research using real production part as the DOE sample and Minitab statistic software to analyze the result. The used sample in the experiment was the continuous product order from a home appliance manufacturer. Then, four factors during the electroplating process were chosen: electrolyte concentration, electric current, duration of timing, and surface of the electroplated area. The results show that to reach thickness at 40 microns, it needs the optimum parameter with 5 minutes duration, electrolyte density of 22 Baume, electricity of 5 Volt, and surface area product of 415 cm2. This condition leads to capacity improvement of up to 100%. Hence, it decreases overtime costs and contributes to reducing energy consumption.
Determination of the Shortest Path Using the Ant Colony Optimization (ACO) Algorithm Approach Hengki Tamando Sihotang
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.7964

Abstract

Distribution is one of the essential activities in business because it determines the price of products or goods in the market. So, choosing the shortest path is considered one of the most important things in business, especially distributors. PT Everbright, one of the business actors engaged in the manufacture of batteries and as the main distributor, hopes that the distribution of goods to have the shortest route so that costs can be minimized. The aim of the research was to determine the shortest path in distributing goods in the Medan area to the location of consumers. The research used Ant Colony Optimization (ACO). Determination of the shortest path is based on distance calculations in kilometers, protocol roads, gangs, normal road conditions, and differences between small and major roads. Based on the research results, it is found that the J1 line has the greatest value. So, the path chosen by the ants to pass is J1 which is 11 km away from the departure location (PT Everbright) to the destination (Pasar Glugur Kota). It passes through PT Everbright --> Jln. Gatot Subroto --> Jln. Kapt. Muslim --> Jln. Tgk. Amir Hamzah --> Jln. KH. Syeikh Abdul Wahab Rokan --> Pasar Glugur Kota.

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