Articles

Design and Development of ER MineTracer: A Mobile Emergency Response Application for Mining Industry

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Most of the industries, especially mining companies, are facing nowadays an exciting future with growing demand as well as severe challenges. Several innovations in technology as well as in the organizational process and methods are developed in order to cope with the continuously advancing technologically-driven society and to address pressing issues that industries are facing, including emergency response-related problems. This study aimed to improve information access by developing ER MineTracer mobile emergency response application which combines web and mobile applications designed for reporters and rescuers in responding to employees’ emergency requests. It uses GPS to determine an employee’s current position and communicates the user’s name and present location straight to a web application installed in a command center for quick dispatching of emergency units. Descriptive-developmental research was employed in the study utilizing an object-oriented modeling tool in designing the ER MineTracer mobile application. Thirty (30) participants were purposefully chosen to assess the performance of the system and it was revealed that the developed ER MineTracer mobile application was efficient in terms of accessibility, accuracy, and usability. Hence, it is recommended to utilize ER MineTracer and optimize smartphones to assist individuals in saving lives during emergencies and accidents, especially in mining industries.

Influence of Stock Application Attributes on Consumer Choice Decision (Case Study of Stockbit Consumer Choice)

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The development of stock investment in Indonesia has experienced significant growth from year to year, according to the President Director of KSEI (Indonesia Central Securities Depository), Uriep Budhi Prasetyo said, “The growth of stock investors is one of the benchmarks for the achievement of the Indonesian stock market, growth occurs significantly during the Covid-19 pandemic, this shows that the Indonesian people are increasingly aware of the importance of investment, especially in the stock market. In the current era of digitalization, almost all daily activities can be done online and most of them can be easily accessed via their personal mobile phones. The number of mobile applications for stock investment has tightened competition. Not only securities from bank companies but also from non-bank companies also enliven the competition in this sector. The many alternative choices of course provide flexibility for consumers in choosing which application suits the needs of each consumer. Through this research, the authors aim to determine what factors influence consumer decisions when choosing stock applications. This study will use the choice modeling analysis method by providing 28 scenario-stated preferences resulted from NGENE software in the form of questionnaires to 200 respondents, in each of these questionnaires there are several attributes of stock applications as consideration for consumers in choosing stock applications including application performance, completeness of features, user security and privacy, transaction fees, and application appearance (UI). The results of this questionnaire are processed using the Multinomial Logit (MNL) method which is run using Python-Biogeme. The results of the study show that in general there are 4 attributes that significantly influence consumer decisions in choosing stock applications, including application performance, completeness of features, user security and privacy, and transaction fees. In addition, this research also shows several attributes that are elastic to consumers in certain applications, namely the user security & privacy and transaction fees in the Ajaib application and in the IPOT application is completeness of feature and transaction fees.