Instagram has been used by many groups, such as business people, academics, to politicians, to take advantage of the insights gained by processing and analyzing Instagram data for various purposes. However, before processing and analyzing data, users must first pass data collection or downloading from Instagram. The problem faced is that most data collection methods are still done manually as for many parties that offer Instagram account data download services with various price options. This research applied a web scraping method to automatically build a web-based Instagram account data download application so that several parties can use it. The web scraping method was chosen because by using this method, researchers do not need to use Instagram's Application Programming Interface (API), which has access restrictions in retrieving data on Instagram. In this study, application testing was conducted on 15 Instagram accounts with various publications, namely between 100 and 11000. Based on the download data analysis results, the application of the web scraping method to download Instagram account data can successfully download a maximum of 2412 account data. In this application, users can download Instagram account data to Data Collection and then manage it like deleting and exporting data collection in the form of CSV, Excel, or JSON.

Sekolah Olifant Yogyakarta telah memanfaatkan website sebagai salah satu media pengenalan sekolah beserta layanan yang disediakan kepada pengguna. Implementasi yang dilakukan sudah cukup bagus namun masih belum adanya evaluasi kepuasan dari sisi pengguna dan orang tua terhadap informasi berbasis website. Penggunaan website perlu juga diikuti dengan evaluasi terhadap informasi pada website tersebut, dengan model end user computing satisfaction, diharapkan dapat mengevaluasi penilaian orang tua dan pengguna terhadap informasi berbasis website. Penelitian ini dilakukan melalui penyebaran kuesioner kepada pengguna maupun keluarga siswa yang sedang bersekolah di Olifant, hasil yang didapat dianalisis dengan metode SEM-PLS dan tools SmartPLS versi 3. Berdasarkan analisis, terdapat variabel yang tidak berpengaruh terhadap kepuasan, yaitu accuracy, format dan timeliness, sedangkan variabel content dan ease of use berpengaruh terhadap kepuasan pengguna. Hasil penelitian menyatakan bahwa model end user computing satisfaction dapat digunakan untuk melakukan penilaian faktor yang memberi pengaruh kepuasan pengguna dan orang tua seolah olifant terhadap informasi berbasis website.   Kata kunci:  EUCS, DeLone & McLane, Sistem Informasi Sekolah, SmartPLS

The main purpose of this paper is to examine the dominant topics about Business Intelligence in micro-blogging Twitter. There are 7.153 tweets collected from Twitter API. Text mining and natural language processing are used to analyze the dominant topics among those tweets. Computational method used to count the most frequent hashtag that appears together with Business Intelligence hashtag. Twitter users are large and scattered around the world with a diverse range of skills (expertise) that can give a new perspective on a subject that may not be predicted before. For example, for topics related to Business Intelligence, the very dominant general topic discussed in the scientific literature are about data management, as well as for analytics and machine learning data. The result contributes to understanding dominant topics about Business Intelligence that can help researchers to level their research.

Business and Information Technology Strategic Alignment (BITA) has been an important subject in the relationship between information technology and business. Various attempts were made by the organization to obtain the BITA maturity of their organization. While there have been many studies conducted to examine factors that influence BITA, alignment in the BITA is still a matter that is not easy to achieve. BITA not only influenced by the formal aspects, informal aspects also play an important role in influencing BITA. However, the number of studies involving informal / social aspects influence BITA not have the same portion of the study involving the formal aspects. Though the social aspect is also an important aspect that affects BITA. One informal aspect plays an important role in BITA is organizational culture. This study aims to determine the extent to which organizational culture affect BITA and how it shapes influence. Using exploratory study on Indonesia's Computer Higher Education which data were taken through a questionnaire, this study tries to reveal the model of organizational culture influence BITA. This research found that organizational culture had a positive influence on BITA. Organizational culture can be strengthened by managing dimensions Strategic