(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 6, 2018 453 | Page www.ijacsa.thesai.org Trust and Security Concerns of Cloud Storage: An Indonesian Technology Acceptance Nurudin Santoso, Ari Kusyanti Department of Information Technology Universitas Brawijaya Malang, Indonesia Harin Puspa Ayu Catherina, Yustiyana April Lia Sari Department of Information System Universitas Brawijaya Malang, Indonesia Abstract—Cloud drive is a service that offers data storage on the cloud. As the worldwide rapid growth of cloud drive there are ongoing concerns about trust, privacy and security concerns about how the user’s personal information and data are visible to other users or even abused by the cloud drive provider. This study provides empirical evidence about the factors affecting the acceptance of cloud drive users by using seven construct variables which are Trust, Perceived Risk, Perceived Ease of Use, Perceived Usefulness, Security, Behavioural Intention and Subjective Norm. Data were collected from 294 respondents by using online questionnaire. The data analysis method used was Structural Equation Modelling (SEM) analysis. The results of this study show that the factor affecting the intention of using cloud drive are trust, perceived risk and subjective norm. Keywords—Cloud drive; structural equation modeling (SEM); trust; security; risk; behavior intention I. INTRODUCTION Information technology has developed to adjust to time. Currently, new technologies have been developed to improve productivity, including data storage. Cloud drive is a service to store documents or files for free or paid depending on the amount of storage capacity offered by the provider. Cloud drive allows users to store files on their servers, synchronize files across devices, and share files. Not only that it has inexpensive price but this provider also provides the whole package of office applications. Cloud drive has a data storage capacity of up to a several Giga bytes. This will certainly make it easier for users to access the data they hold. When users decide to store their files on cloud drive indirectly the data will be owned by the cloud provider. It may pose a risk to users losing their data. Many internet users are not aware of this risk, users will generally only choose comfort and convenience without taking into account data security although in fact they sometimes feel uncomfortable when providing personal data. Apart from the benefits provided by the cloud drive, a serious risk associated with the use of data storage services is also anticipated. As an example in 2014, Google announced that some data were leaked through the URL stored in Google drive [1]. Such case is certainly contrary to the promise of security provided by Google drive. Furthermore in 2015, almost 5 million Gmail accounts were hacked which means that hackers got access to Google drive data of nearly 5 million people. More than that, the hacked database was dumped on various public forums for other people to access users’ data. This can result to personal information theft, identity theft, stolen blueprints and much more. The model in this study adapted from several previous studies, including a study conducted by [2] entitled “Personal Cloud User Acceptance: The Role of Trust and Perceived Risk in the Technology Acceptance Model” which examines the individual user acceptance of cloud computing, the model used has 5 constructs, namely: trust, perceived risk, perceived ease of use, perceived usefulness and behavioral intention. In addition, another variable that was adapted from the research done by [3] is a security that will be used to measure the level of security when using data storage on cloud drive. The purpose of this study was to determine whether the factor perceived risk, trust, perceived ease of use, perceived usefulness, perceived risk, security and subjective norm affect the intention of users to store their data on cloud drive. II. MODEL STRUCTURE AND HYPOTHESIS This research is confirmatory research based on model and hypothesis by [2] and [3]. The data was analyzed using Structural Equation Modelling (SEM). There are two stages in this SEM analysis: structural model and measurement model. Structural model shows the relationship between latent variables, while measurement model is used to determine the relationship connection between indicator and variables. A. Definition of Each Construct 1) Trust (TR) In this study, trust is defined as an individual's willingness to provide their personal information at risk while in a state of uncertainty [4]. 2) Perceived Risk (RI) Risk can be defined as an individual's beliefs about the possibility of gains or losses associated with the acquisition of products or services online [5]. 3) Perceived Ease of Use (PEU) Perceived ease of use defined as the extent to which an individual expects the use of a technology is free of effort [6]. 4) Perceived Usefulness (PU) Perceived usefulness is defined the extent to which an individual believes that using a technology will be able to improve their job performance [6].