Gadjah Mada University

About: Gadjah Mada University is a education organization based out in Yogyakarta, Indonesia. It is known for research contribution in the topics: Population & Adsorption. The organization has 17307 authors who have published 21389 publications receiving 116561 citations. The organization is also known as: University of Gajah Mada & Universitas Gadjah Mada.

The Effect of COVID-19 Pandemic: How are the Future Tourist Behavior?

Abstract: Aims: This research examines tourist travel intentions after the end of the pandemic. Study Design: Descriptive quantitative study. Place and Duration of Study: Research from February April 2020 in Jakarta, Indonesia. Methodology: This research is a descriptive study describing the current situation using a quantitative approach. Probability sampling with simple random sampling. Data collection using survey methods by distributing online questionnaires (Google Form) through WhatsApp broadcast messages and reach 128 respondents. Simple quantitative data analysis. Results: The travel preferences are (78%), or the majority of respondents said they would go back on tour. About (65%) will return to travel in the near term, which is 0-6 months after the pandemic is declared over, of the type of tourism desired by respondents is nature tourism by (66%), The majority of the desired tour duration is short-period, which is 1-4 days. The survey results show that travel intention mean value is higher than travel anxiety. Conclusion: Empirical predictions of tourist behavior after this pandemic ends. There are passion and optimism that tourism will recover faster because the majority of respondents in this study have planned when and where they will immediately after COVID-19 pandemic end with new travel preferences. Original Research Article Wachyuni and Kusumaningrum; JESBS, 33(4): 67-76, 2020; Article no.JESBS.57217 68

The therapeutic potential of targeting tryptophan catabolism in cancer.

Abstract: Based on its effects on both tumour cell intrinsic malignant properties as well as anti-tumour immune responses, tryptophan catabolism has emerged as an important metabolic regulator of cancer progression. Three enzymes, indoleamine-2,3-dioxygenase 1 and 2 (IDO1/2) and tryptophan-2,3-dioxygenase (TDO2), catalyse the first step of the degradation of the essential amino acid tryptophan (Trp) to kynurenine (Kyn). The notion of inhibiting IDO1 using small-molecule inhibitors elicited high hopes of a positive impact in the field of immuno-oncology, by restoring anti-tumour immune responses and synergising with other immunotherapies such as immune checkpoint inhibition. However, clinical trials with IDO1 inhibitors have yielded disappointing results, hence raising many questions. This review will discuss strategies to target Trp-degrading enzymes and possible down-stream consequences of their inhibition. We aim to provide comprehensive background information on Trp catabolic enzymes as targets in immuno-oncology and their current state of development. Details of the clinical trials with IDO1 inhibitors, including patient stratification, possible effects of the inhibitors themselves, effects of pre-treatments and the therapies the inhibitors were combined with, are discussed and mechanisms proposed that might have compensated for IDO1 inhibition. Finally, alternative approaches are suggested to circumvent these problems.

N-soft sets and their decision making algorithms

Abstract: In this paper, we motivate and introduce the concept of N-soft set as an extended soft set model. Some useful algebraic definitions and properties are given. We cite real examples that prove that N-soft sets are a cogent model for binary and non-binary evaluations in numerous kinds of decision making problems. Finally, we propose decision making procedures for N-soft sets.

Doctor–patient communication in Southeast Asia: a different culture?

Abstract: Studies of doctor–patient communication generally advocate a partnership communication style. However, in Southeast Asian settings, we often see a more one-way style with little input from the patient. We investigated factors underlying the use of a one-way consultation style by doctors in a Southeast Asian setting. We conducted a qualitative study based on principles of grounded theory. Twenty residents and specialists and 20 patients of a low or high educational level were interviewed in internal medicine outpatient clinics of an Indonesian teaching hospital and two affiliated hospitals. During 26 weeks we engaged in an iterative interview and coding process to identify emergent factors. Patients were generally dissatisfied with doctors’ communication style. The doctors indicated that they did not deliberately use a one-way style. Communication style appeared to be associated with characteristics of Southeast Asian culture, the health care setting and medical education. Doctor–patient communication appeared to be affected by cultural characteristics which fell into two broad categories representing key features of Southeast Asian culture, “social distance” and “closeness of relationships”, and to characteristics categorized as “specific clinical context”. Consideration of these characteristics could be helpful in promoting the use of a partnership communication style.

Cosine similarity to determine similarity measure: Study case in online essay assessment

Abstract: Development of technology in educational field brings the easier ways through the variety of facilitation for learning process, sharing files, giving assignment and assessment. Automated Essay Scoring (AES) is one of the development systems for determining a score automatically from text document source to facilitate the correction and scoring by utilizing applications that run on the computer. AES process is used to help the lecturers to score efficiently and effectively. Besides it can reduce the subjectivity scoring problem. However, implementation of AES depends on many factors and cases, such as language and mechanism of scoring process especially for essay scoring. A number of methods implemented for weighting the terms from document and reaching the solutions for handling comparative level between documents answer and expert's document still defined. In this research, we implemented the weighting of Term Frequency — Inverse Document Frequency (TF-IDF) method and Cosine Similarity with the measuring degree concept of similarity terms in a document. Tests carried out on a number of Indonesian text-based documents that have gone through the stage of pre-processing for data extraction purposes. This process results is in a ranking of the document weight that have closesness match level with expert's document.