Going by the proposition of the Uses and Gratifications Theory (UGT), people are motivated to use media by various psychological factors and for obtaining different forms of gratifications. However, as social media continue to play an essential role in shaping the sociability and bridging social connectivity and interactions among its users, therefore, this study seeks to incorporate social influence and social interactions as the social gratification sought in social media utilization, as well as both bonding and bridging social capital as social gratification obtained from social media utilization. An online survey was conducted among 400 users of Instagram in Nigeria. The data analyzed with PLS-SEM revealed that social influence and social interaction significantly motivate social media utilization. Also, social media utilization is significantly associated with bonding and bridging social capital. Impliedly, this study shows that social media is a social and networking tool which is stimulated by social factors and for achieving social purposes such as getting help, support and community engagements.

Newspaper industry is entering a state of emergency in Indonesia. Dewan Pers demands that the government provide incentives to press companies during Covid-19. The growth in the number of internet users, the downward trend in advertising revenue, and the number of newspaper circulation are problems in the print media business. List of questions in this study: what are the trends in the use of internet technology and social media in Indonesia?; why did various newspaper companies in Indonesia collapse and die in the digital era?; how is the effort to save the newspaper business? Meanwhile, the research paradigm is qualitative. The time of the study is November 2019 to May 2020. The results of this research, the growth in the number of internet users has been extraordinary in the last 20 years. Signs of the newspaper era are over, strengthened by many newspaper companies turning to online media. The number of readers fell, the number of advertisers plummeted, number of copies narrowed, and the cost of producing newspapers became increasingly expensive to cause the closure of various newspaper companies. Rescue by attracting young readers and doing various innovations. Tragically, the print media industry will end and die on its own.

The study was conducted in Batang Regency, Central Java. Still high levels of family poverty in this area, especially the condition of the family head women and tend to have non-permanent work, make the authors interested in doing this in-property research. Research methods using quantitative mixed methods are strengthened by qualitative analysis. The sampling technique uses stratified random sampling, using the Slovin formula to determine the magnitude of the number of respondents. The study population numbered 535, with a total sample of research were 229 female heads of households. The results showed that indicators of group roles and companion roles had a very large contribution in encouraging the characteristics of women's household heads to be more empowered. Through a companion role, making a family of female heads more actively communicating. Through the development of public speaking, establishing a critical culture in the group, thus growing self-confidence, forming a empowered, independent, and potential self. Important research is conducted to see the extent to which the women's head program has walked the trunk, creating many tough women. Research novelty was obtained based on a combination of group communication attributed to economic empowerment.

The increasing of digital technology today has helped many people to fulfill their needs. But the election system, still conventionally using paper in its implementation. Elections in general still use a centralized system, where there is an organization that manages it. Some of the problems that may occur in traditional electoral systems are that there are organizations that have full control over the database and system, so the possibility of hacking the database is quite a big opportunity.Blockchain innovation is one arrangement that can be utilized in light of the fact that it has a decentralized framework and the whole database is duplicated by all clients. Blockchain itself has been used by Bitcoin and Ethereum cryptocurrency which is known as a decentralized system. By using the blockchain in database recording on an e-voting system can reduce one source of fraud that is database manipulation. This study discusses the recording of voting data using blockchain technology. The implementation of Smart Contracts contained in the Ethereum Blockchain will be implemented to create this voting system

Information security problems always increase every year. One way to minimize problems related to information system security is to establish an SOP. This study was conducted in koperasi simpan pinjam for several reasons that there has never been an assessment related to the level of security of the information system used, there are threatshave occured, and there do not have documented information system security procedures. The SOPs compiled in this study are based on the ISO/IEC 27002:2013 framework. The method used is qualitative with the OCTAVE framework to process the information obtained. Meanwhile, to calculate the value of each risk, FMEA is used. This study shows that 22% of the risks invloved in koperasi simpan pinjam have low categories, 59% medium categories and 19% high categories. The final result of the stiff research is the proposed 8 policies and 12 information system security procedures for koperasi simpan pinjam.

Kampus Notohamidjojo merupakan kampus yang tergolong masih baru yang digunakan oleh Fakultas Teknologi Informasi Universitas Kristen Satya Wacana. Gedung ini berdiri 3 tahun lalu, meskipun gedung ini masih baru tetapi sudah ada beberapa kerusakan dari infrastruktur, fasilitas laboratorium komputer dan furniture. Pihak yang menangani hal tersebut adalah bagian sarana dan prasarana fakultas. Sarana dan prasarana dari fakultas mengalami kendala ketika melakukan pengelolaan kerusakan yang ada, maka dari itu dengan berkembangnya teknologi yang semakin maju banyak platform yang dapat dimanfaatkan untuk melakukan pengelolaan kerusakan tersebut. Platform yang digunakan yaitu smartphone Android dan website. Perancangan sistem ini menggunakan platform Android untuk melakukan proses pelaporan kerusakan dan website digunakan untuk melakukan manajemen kerusakan. Perancangan ini difokuskan untuk membuat desain antarmuka aplikasi yang user-friendly. Desain yang diterapkan menggunakan metode Human Centered Design (HCD) karena dengan menggunakan metode ini dapat menghasilkan antarmuka yang sesuai dengan kebutuhan pengguna. Perancangan ini juga menggunakan teknologi dari Hybrid yang dimana dengan menggunakan teknologi tersebut sistem ini dapat berjalan di Android dan iOS. Pengujian terhadap antarmuka dilakukan menggunakan metode End User Computing Satisfaction (EUCS) dengan mendapatkan hasil lebih dari 90,0 yang menandakan bahwa perancangan sistem pelaporan kerusakan menggunakan metode HCD dan EUCS ini valid dan mampu untuk memenuhi kebutuhan yang diperlukan dari pihak sarana dan prasarana Fakultas Teknologi Informasi.  

With the increasingly of the modern era, more and more diseases that arise due to human lifestyle and bacterial transmission. One of them is gastritis which occurs because of inflammation that occurs in the lining of the stomach which makes frequent pain in the stomach. From these problems, it is necessary to make an expert system application of gastritis disease which aims to provide information to the public to know the early symptoms of gastritis from an early age. The process of diagnose using the certainty factor method The methods in this study are data retrieval, system design, system making and system testing.From this research, it produces an expert system application that can diagnose the type of disease with the first test case 98.848%, the second test case 99.8464% and the third test case with the results of 99.99115264% correct and in accordance with expert knowledge. System testing is done by using black-box testing that shows the function of each unit of application 100% successful.

Drought is a natural disaster that occurs slowly and lasts a long time. Bantul and Gunung Kidul Regencies, Special Region of Yogyakarta are also areas affected by high drought risk. This happened because the area was the result of the construction of a cement factory and limestone mining along the Sewu Mountains. Prediction and classification of areas affected by drought can be done more accurately over large areas by extracting vegetation indices through remote sensing imagery. This research was conducted to provide information about the potential risk of drought in the region using Landsat 8 OLI spectral vegetation index data. Prediction or classification of drought potential using Artificial Neural Network. Vegetation index used in this study is NDVI, TCI, VCI, and VHI. Correlation results between vegetation indices showed the highest correlation occurred between the vegetation index TCI and VHI with the potential for a medium drought of 0.501 and the potential for a high drought of 0.684. Also obtained are the results of the classification of 9 villages that fall into the category of high drought potential (High Risk). Accuracy results and Kappa values indicate that Random Forest is the best method used with a breakdown of values of 99.91% and 99.81%, respectively. Spatial prediction results are performed using Inverse Distance Weighted (IDW) on vegetation index and prediction. Testing of spatial relationships between villages that have the potential for drought is done using Moran s I. analysis.  

The review of the users of one application is of great help to development in improving the quality of the application and may be the means for assessments that users feel satisfied or not. The study conducted a sentiment analysis of the Ruangguru application by testing the three classification models such as Naive Bayes, Random Forest and Support Vectors Machine. The study has yielded results that from Random Forest classification model 97,16% by using Cross Validation and an AUC score of 0.996. Then accuracy with the model of Support Vector Machine classification support results in accuracy rate of 96.01% to an AUC value of 0.543 and accuracy in the testing of Naive Bayes classification model was 94,16% of AUC score 0,999. This study shows that an increase in accuracy from previous studies of 7.16% with Random Forest s final cut as a Random Forest classification model with the best performance.

The human need for technology and the availability of adequate infrastructure is evidence that technology is now a part of basic human needs. The increasing number of journals and scientific papers, it must be more selective in selecting and sorting even though there are already many online service providers and journal portals. Research on search engines and plagiarism and recommendation systems has been carried out with various methods deemed appropriate to improve the performance of the system itself, this paper has the purpose of calculating the similarity between one article with another article by implementing n-gram and tanimoto cosine. The number of articles tested was forty-three titles and abstracts, tested fifty times with randomly selected keywords, by breaking down each title and abstract sentence into n characters (n = 2 to 8) including spaces and punctuation, then counted similarity with the query or keyword used for system testing. The test was conducted using several threshold variations from n = 2 to 8. After observing fifty times the threshold test of 0.15 has the highest accuracy at n = 4 at 0.92, the highest precision at n = 3 at 0.42 and the highest recall at the test n = 2 = 0.44 .