The development of the internet causes the flow of information to move quickly without knowing geographical boundaries. Likewise with the development of the digital industry, although the condition of the digital industry in Indonesia is still in its early phase, where infrastructure and ecosystem support is still very minimal, the optimism from digital industry players in Indonesia is very strong, both from the startup side and from investors. Problems arise when investors, both local and foreign, wish to invest in local digital startups in Indonesia, namely the unpreparedness of local startups to receive relatively large amounts of funding for business development. This raises doubts for investors whether startups can manage the funds raised and generate future profits for investors. Therefore, an initiative was born from investors and stakeholders in the digital technology industry to activate business incubators, with the aim of being able to prepare local startups to be able to develop more optimally. The results of this study reveal various tangible benefits received by local startups to increase their capacity.

The development of technology in education has produced many innovations to support the learning process. The large variety of learning media is the digital competence of education, which is very much needed in higher education .  However, from several universities, there are still many that do not have adequate digital competence. This study uses a survey method that will be calculated quantitatively through a Likert Scale calculation. The design of this cooperative education management system uses E-Portfolio Integration stored in cloud computing based on Blockchain technology. The Blockchain process will be helpful as a literary platform for researchers who will start research on Blockchain technology for digital education so that the results of digital competence cannot be taken over by third parties and are transparent, and this is the solution to the problems in this research. Based on the study results, it can be seen that the Student-Centered iLearning Blockchain (SCi-B) with E-Portfolio is supported by Blockchain technology that can meet the needs of universities and improve cooperative education on digital competence.

FTP LAPAN Bandung is a web-based FTP that houses observational data from different workshops and the LAPAN Aerospace Observer Center, which are located around Indonesia. The Data Center at LAPAN Bandung has a very high storage media capacity for observational data. As a result, software must be designed to be able to exploit and handle huge data sets. The database management process, which uses MySQL software for user management, data request, management, admin administration, and tool and data management, is used to handle huge amounts of data.

This study aims to determine the role of religiosity as mediation in the relationship between online transactions and customer satisfaction and loyalty in Sharia banking in the Jakarta area. The population of this research is all sharia banking customers in Jakarta. The number of samples in this study was 175 Sharia banking customers in Jakarta by sampling purposive sampling method. The data processing method used is Structural Equation Modelling. The results showed: 1) there is no effect of failure on the experience of online transactions in Sharia banking; 2) there is an effect of service recovery on the customer experience of online transactions in Sharia banking; 3) there is an influence of customer experience on customer satisfaction in online transactions in Sharia banking; 4) there is an effect of customer satisfaction on customer loyalty using online transactions in Sharia banking; 5) customer religiosity moderates between customer experience to satisfaction using online transactions; 6) Customer religiosity moderates the satisfaction of customer loyalty using online transactions in Sharia banking.

Technological advancements are causing humans to produce several inventions and developments to accomplish anything. Which one utilizes internet technology to obtain information as quickly and simply as possible? For example, if someone moves to a new area for work or school, they will need boarding houses. However, this information is difficult to obtain because it is traditionally passed down from person to person, and the boarding house owner finds it difficult to promote his boarding house. As a result, individuals require a computerized system to resolve this issue. This study aims to create a database design for a boarding home information system. This study employs the DBLC (Database Life Cycle) technique, which illustrates the life cycle of a database that may be developed at any time. Database design is separated into three parts: conceptual, logical, and physical database design.

The purpose of this study to determine the effect after transaction failure and after failure recovery on the transaction experience, the effect after transaction failure and recovery from transaction failure using digital wallets on user satisfaction, especially in the millennial generation. The population of this study is all digital wallet users in the DKI Jakarta province with a total sample of 94 digital wallet users. The sampling method uses purposive sampling with the criteria of digital wallet users who have made transactions for at least 1 year, this is intended so that these respondents already have transaction experience and are at least 17 years old. Meanwhile, the data processing used Structural Equation Modeling analysis software Lisrel. The results showed: (1) Transaction failure affects the transaction experience of digital wallet users; (2) Transaction failure recovery will affect the transaction experience of digital wallet users; (3) Transaction experience affects the satisfaction of digital wallet users; (4) Transaction failure has no effect on digital wallet user satisfaction; (5) Transaction failure recovery affects the satisfaction of digital wallet users. The novelty of this research is transaction failure has no effect on digital wallet user satisfaction. In addition, the benefits that are felt are far greater than the failures that are experienced, especially when recovery from failure is carried out quickly and precisely.

Merebaknya pandemic Covid-19 tidak dipungkiri telah memaksa masyarakat untuk memanfaatkan kemajuan teknologi dalam kehidupan sehari-hari. Pengguna internet di Indonesia meningkat pesat, dan hal ini harusnya menjadi peluang yang dapat dimanfaatkan oleh pelaku UMKM yang saat pandemik sangat terpuruk. Sayangnya masih banyak pelaku UMKM yang belum menggunakan digital marketing dalam memasarkan produknya. Ada berbagai jenis digital marketing yang dapat dimanfaatkan oleh pelaku UMKM, antara lain: konten marketing, social media marketing, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Pay-Per-Click (PPC), email marketing dan pesan singkat (instant messaging). Tiap jenis digital marketing tentu memiliki karakter pengguna yang berbeda yang harus dipahami oleh pelaku UMKM. Pelatihan yang dihadiri oleh 30 pelaku UMKM ini juga memberikan penjelasan langkah sederhana dalam memanfaatkan digital marketing, yaitu: mengenali produk yang dipasarkan dengan baik, mengenali target pasarnya, mengenali pesaing, menyiapkan konten marketing, mendistribusikan konten marketing tersebut sesuai dengan jenis yang dipilih, mengevaluasi konten untuk  menguatkannya, menjadwalkan distribusi konten dan menentukan targetnya, dan yang paling penting adalah konsisten dan tetap mengikuti perkembangan pasar. Pemahaman yang baik membuat para pelaku UMKM mampu memanfaatkan digital marketing untuk meningkatkan omzet penjualannya.

Big data often referred to as streaming data produced by the internet of things creates new options for monitoring food and agricultural processes. Along with sensors, social media big data is also playing a bigger role in the food business. The IoT, big data, and artificial intelligence are discussed in this review along with how they will impact the agri-food industry in the future. We begin with an introduction to the fields of IoT, big data, and AI before talking about how IoT and big data analysis are used in agriculture, including smart farm equipment, crop imaging using drones, and monitoring of greenhouses, food quality assessment using spectral techniques and sensor fusion, and eventually, food safety using gene sequencing and blockchain-based digital traceability. The commercial viability of applications and the outcomes of translational research are given significant consideration.