Information security in mobile phones has become a challenge when large amounts of data exchanged on the Internet. Secure information transfer can be achieved by cryptography and steganography. Cryptography is a tool that provides encryption techniques for secure communication. Steganography is the technique of hiding information by way of the message of the picture, so that in addition to the person addressed, another person will not be aware of the existence of the message. In this study the issues to be discussed is the technique of message encryption with RSA (Rivest Shamir Adleman) method. Messages are encrypted after compressed by LZW (Lempel Ziv Welch) method, so it will reduce the size of the message that will be inserted and increase the capacity of messages that can be inserted. Messages that have been compressed and encrypted, is then hidden by DCT (Discrete Cosine Transform) techniques. With the incorporation of encryption techniques, steganography, and compression, the acquired information is more secure and its capacity is larger. For a 512x512 colored image there are 1536 characters enable for hiding. With LZW the amount of characters hiding will be about twice larger in this research.
Purpose
This paper aims to investigate the effect of business incubation metrics based on an adaptation of the lean start-up (LS) framework on start-up survival after incubation. This study also analyzes the obstacles in implementing the LS framework as incubation metrics.
Design/methodology/approach
This study uses mixed methods. Quantitative research using multiple linear regression was applied to the data of 30 start-ups incubated at Bandung Techno Park for the 2014–2017 period and survival tracking data after the incubation. A qualitative approach to complete the explanatory work was conducted through in-depth interviews with 12 respondents, including start-up graduates from the incubation program, program managers and mentors.
Findings
This study confirms that several LS incubation metrics significantly affect start-up sustainability after incubation. In addition, this study also explains several problems in applying the LS discipline that needs attention to increase incubation success.
Research limitations/implications
Research was conducted only at one technology business incubator (TBI) model that focuses on digital start-ups in the emerging ecosystem. Research results can be biased in different situations and ecosystems.
Practical implications
The explanation of the relationship of LS-based incubation metrics to the survival of start-ups, as well as the challenges of their implementation, can be a reference for TBI management to consider and prioritize intervention strategies, thereby improving TBI’s business processes and increasing the success rate of incubated start-ups.
Social implications
The creation of university start-ups and spin-offs has become a key performance indicator mandatory for technology universities in Indonesia. The existence of TBI institutions in universities as channels of technology commercialization is essential. The incubator’s success in creating a new technology-based company will have a significant social impact on the surrounding environment.
Originality/value
Although the LS method is popular in start-up communities and among practitioners, it is rarely used in the incubation process at universities. These results can be considered for university TBIs to explore LS as an incubation management tool to increase the success rate of incubated start-ups.
Sebagai lembaga intermediasi yang melakukan proses pembinaan, pendampingan, dan pengembangan kepada para wirausaha pemula (start-up), Inkubator Bisnis dan teknologi (IBT) senantiasa dituntut untuk selalu bertumbuh. Pengembangan bisnis teknologi merupakan proses yang kompleks, dan perkembangan yang sedemikain cepat, menuntut penguataan pada kapasitas sumber daya pengelola secara Mengoptimalkan pemanfaatan sumber daya manusia terdidik dalam menggerakkan perekonomian dengan memanfaatkan ilmu pengetahuan dan teknologi. Kata Kunci: Inkubator Bisnis Teknologi, Start-up, pengembangan kapasitas SDM
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.