In Indonesia, the high cost of tuition at the Private University is an impunity for some students. Private University does not obtain the flow of funds from government, and is required to self-management from existing funds by the Foundation. However, reluctantly students to study at Private University and lack of confidence because the data is not transparent. The education system in Private University is still not implementing openness of data.Open Government Partnership (OGP) is a global partnership to make government more open, transparent, effective and accountable. Public disclosure can increase confidence in the government. Our case study in this research is a district that is a pioneer in the application of OGP in Indonesia, namely Bojonegoro.In this research, we examinedto adopt OGP for promoting transparency in Private University with a case study in the University of Nahdlatul Ulama Sunan Giri (Unugiri), Bojonegoro.This study is a discussion research as well as an initiation to develop the research in advanced in the assessment phase of the model and the alignment system between government and education. The results of this research showed four media of OGP in Bojonegoro that can be applied at the level of university, that is public dialogue, publication of the budget, software of public aspirations, and radio broadcast with availability of media and motivation of the respective roles as crucial factor of the success of the disclosure.
Masyarakat yang hidup di daerah zona rawan banjir memiliki kesiapsiagaan tersendiri yang berbeda-beda tiap wilayah. Biasanya hal itu dipengaruhi oleh kesadaran masyarakat terhadap risiko dan pengalaman akan bencana banjir (Sutton dan Tierney,2006). Mengingat pada tahun 2007, Bojonegoro pernah dilanda bencana banjir besar yang setidaknya menenggelamkan 80% wilayah Kabupaten Bojonegoro (AntaraNews, 2007). Sehingga sasaran yang ingin dituju adalah untuk mengetahui tingkat kesiapsiagaan masyarakat dalam menghadapi berbagai fase bencana banjir dan analisis keruangan berbasis GIS. Tulisan ini menggunakan metode analisis statistik deskriptif dan analisis keruangan berbasis GIS. Studi ini difokuskan pada kesiapsiagaan yang ada di enam kecamatan terdampak banjir di Kabupaten Bojonegoro. Indikator-indikator yang akan digunakan untuk mengidentifikasi tingkat kesiapsiagaan adalah yang umumnya digunakan di beberapa kajian terdahulu yaitu (1) pengetahuan dan sikap, (2) rencana tanggap darurat, (3) sistem peringatan dini, (4) mobilisasi sumber daya, dan (5) modal sosial (Sutton dan Tierney,2006). Dari hasil Pemetaan Tingkat Kesiapsiagaan Masyarakat terhadap berbagai fase bencana Banjir di Kabupaten Bojonegoro maka dapat diketahui bahwa rata-rata Tingkat kesiapsiagaan berada pada level sedang-tinggi, hal ini dibuktikan oleh perolehan analisis kuantitatif dari hasil wawancara yakni rata-rata berada pada angka 3-4. Sehingga penelitian ini penting dilakukan guna mengetahui tingkat kesiapsiagaan masyarakat terhadap berbagai fase bencana banjir di Kabupaten Bojonegoro.
The low level of student readiness in implementing e-learning can achieve not optimal benefits or even generate losses. In fact, its failures are able to impact on swelling of the institutional funds. Therefore, it is so important to measure the level of student readiness for avoiding the impact of e-learning implementation failures. In this study, we employed an ensemble model for measuring e-learning readiness level by using the model of Akaslan & Law and Aydin & Tasci. The data were obtained from questionnaires based on the factor of technology, people, content, institutions, acceptance for e-learning, and training for e-learning. With a questionnaire consisting of questions and five Likert scales, the survey was conducted in several departments who have implemented e-learning. We assessed the results by Akaslan & Law to measure the level of student readiness and Aydin & Law for determining its readiness By assessing the level of difficulty of e-learning implementation, we show a different way of assessment that the model of Akaslan & Law can also be used for the same variables related to Aydin & Tasci model in the measurement. We work in hand together between the model of Akaslan & Law and Aydin & Tasci for the sake of knowing the level of e-learning implementation readiness in such a different way. We observed e-learning of Institut Teknologi Sepuluh Nopember (ITS) or so-called ShareITS and found that ITS students are ready to implement e-learning.
The global emergency caused by the COVID-19 pandemic does not yet have a registered drug. Many studies suggest strengthening the immune system in the human body as an alternative solution to treating COVID-19 before the discovery of drugs. This study reports on various types of potential treatments and factors associated with the immune response to the virus. The analysis shows that the effectiveness of the treatment depends on the current preferences of the COVID-19 patient. Therefore, this study aims to use crowdsourced fuzzy information enrichment through Self-healing Recommender Systems (ShRS) to provide recommendations for the best treatment therapy. It is hoped that the proper treatment therapy will cure the healing of COVID-19 patients who are self-isolating. To demonstrate the ShRS, an illustrative example was conducted. We used a crowdsourcing approach to generate treatment therapy recommendations in Bojonegoro, an area with a high number of COVID-19 cases in Indonesia. Most contextual input parameters such as age category, physical condition, and nutritional status are fuzzy. Therefore, we perform ShRS in proposing fuzzy inference to compute a new score/rank with each treatment pooled in it. The purpose of this study is to build a more practical recommendation system because the use of website applications and gadgets can open up opportunities for the public to contribute to human care. This study proposes a system to uncover the best options for healing people infected with COVID-19. It can help health practitioners and the general public cope with self-healing during a pandemic as an alternative lifesaver.
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