| Automated Black Box Testing using Selenium Python |
| Pages: 201-204 (4) | [Full Text] PDF (341 KB) |
| NR Mustika, Novrina |
| Department of Computer Science and Information Technology, Universitas Gunadarma, Depok, Indonesia |
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Abstract - Software testing is important in software development flow because there is no guarantee that every software created has no bugs and errors. There are several types of testing software, one of them is black box testing that performs functional testing and in its development, this can be done automatically. Many automated testing tools are widely known, one of them is Selenium Python. To create an automated testing using Selenium Python, there are several steps such as planning, analysis, test design, converting test cases into automated tests, perform tests, and analyzed the test results. |
| Index Terms - Automated testing, Black Box Testing, Selenium Python, Testing |
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C itation - NR Mustika, Novrina. "Automated Black Box Testing using Selenium Python ." International Journal of Computer Science and Software Engineering 7, no. 9 (2018): 201-204. |
| Integrating IPA with Kano Model for Analyzing Service Quality Elements of Mobile Ride-Hailing App |
| Pages: 205-211 (7) | [Full Text] PDF (530 KB) |
| AA Pratiwi, W Silfianti |
| Department of Computer Science and Information Technology, Universitas Gunadarma, Depok, Indonesia |
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Abstract - Mobile ride-hailing apps have taken center stage around the world, especially in Indonesia. Mobile ride-hailing apps are revolutionizing urban transport in Indonesia since 2013. This study uses an integrated approach of IPA-Kano model to analyze the service quality and performance of mobile ride-hailing apps and providing specific strategies for attributes in each category that should be prioritized for the development. A total of 400 valid data were collected by distributing online questionnaires. Based on thirteen attributes analyzed with IPA-Kano model, the results showed that attributes can be categorized by their different quality attributes. Five most important features perceived by mobile ride-hailing users were; 1) motorbike service, 2) food delivery service, 3) courier service, 4) chat service, and 5) driver information. |
| Index Terms - Importance-Performance Analysis, IPA-Kano, Kano Model, Mobile Ride-Hailing, Service Quality |
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C itation - AA Pratiwi, W Silfianti. "Integrating IPA with Kano Model for Analyzing Service Quality Elements of Mobile Ride-Hailing App." International Journal of Computer Science and Software Engineering 7, no. 9 (2018): 205-211. |
| Visit Patterns Analysis of Foreign Tourist in Indonesian Territory Using Frequent Pattern Growth (FP-Growth) Algorithm |
| Pages: 212-217 (6) | [Full Text] PDF (772 KB) |
| E Regar, W Silfianti |
| Business Information System, Gunadarma University, Jakarta IndonesiaComputer Science, Gunadarma University, Jakarta Indonesia |
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Abstract - Tourism is a strategic sector because it encourages the creation of jobs, increasing public income, improving the quality of society and increasing foreign exchange. The government plans a tourist destination of 20 million foreign tourists coming to Indonesia in 2019. Indonesias tourism marketing is not limited to increasing the visit of foreign tourists in the leading destinations but also increase the number of foreign tourists visiting the potential tourist region in Indonesia by looking at the pattern of foreign tourists visit. Data from the Ministry of tourism can be utilized by looking at spatial elements such as the map of the region is very strategic as the basic ingredients of policy development of tourist patterns for tourist routes or tourist recommendations. FP-Growth algorithm in data mining is applied as a technique to analyse the pattern of foreign tourists visiting Indonesia. This algorithm establishes the most frequent itemset of FP-Tree in a set of data. Data is processed using Weka software. Weka have an FP-Growth algorithm that result is tourist visits island of Sumatra, Java, Bali & Nusa Tenggara, Kalimantan, Sulawesi, Maluku and Papua and trans-island in Indonesia. Knowing the visit pattern of foreign tourists in Indonesia is expected to assist the relevant parties in the development of Indonesian tourism marketing. |
| Index Terms - Data Mining, Frequent Growth Pattern, Weka, Tourism, Destination, Foreign Tourist |
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C itation - E Regar, W Silfianti. "Visit Patterns Analysis of Foreign Tourist in Indonesian Territory Using Frequent Pattern Growth (FP-Growth) Algorithm ." International Journal of Computer Science and Software Engineering 7, no. 9 (2018): 212-217. |
| Evaluating CDDS functionalities Using Users’ Mental Evaluative Model |
| Pages: 218-228 (11) | [Full Text] PDF (621 KB) |
| I Agboola |
| Aston University, Birmingham, UK |
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Abstract - Clinical Decision Support Systems (CDSSs) have become important in the delivery of effective evidence-based assessment and treatment of patients in the medical environment. This is however dependent on the efficient user-centered design and its efficient integration into the workflow of the medical environment. Users perception and their evaluative view of the system can provide a good understanding of how the system works; how it meets users needs; and how it fits the purpose with its functionalities. Evaluation of CDSSs is therefore required to capture users needs due to constant changes in medical knowledge and practices. This paper examines how the elicitation of users mental evaluative model of a CDSS can be used to evaluate the system to inform an update of the systems functionalities. Users interactions were monitored and repertory grid technique was used to construct users-evaluative-mental model which identified patterns suggesting system update. |
| Index Terms - Mental model; CDSS Evaluation; Concept Mapping; Repertory Grid Technique |
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C itation - I Agboola. "Evaluating CDDS functionalities Using Users’ Mental Evaluative Model ." International Journal of Computer Science and Software Engineering 7, no. 9 (2018): 218-228. |