This study aims to establish a caring economics-based entrepreneurship learning design in order to enhance students' spirit of entrepreneurship and entrepreneurial intentions at a higher education level. This research and design study referred to design-based research (DBR) and data was gathered by distributing questionnaires and conducting interviews to develop quality recommendations for revising products from validators and trial courses. Respondents were the students of Sanata Dharma University, Indonesia, and the validators were the learning design experts from the State University of Malang, Indonesia. The data was a descriptive elaboration of the validation stage and trials before and after the product prototype revision. Based on factual model analysis, it was found that the recent entrepreneurship learning practice had not yet enhanced the students' spirit of entrepreneurship and entrepreneurial intention. The entrepreneurship learning material had not been linked systematically to the concepts of caring economics, which align with the spirit of mutual cooperation and togetherness. The validation and learning design prototype trials result was very beneficial and is ready to be implemented in the entrepreneurship learning class at a higher education level. The study is expected to contribute to the colleges, especially in entrepreneurship learning based on caring economics that prioritizes social entrepreneurship development, by emphasizing caring aspects for people and the environment. Contribution/Originality:This study is one of very few that have investigated entrepreneurship learning design development based on caring economics to enhance the students' spirit of entrepreneurship and entrepreneurial intentions in higher education.

Rindik is a traditional music instrument originated from Bali that consists of 11 bamboo rods and played by a person hitting the bamboo rod with a rubber mallet in each player’s hands. Documentation of Rindik songs with automatic music transcription work is easier to do by separating it first. To overcome that challenge, two Rindik rods sound were separated using the spectral subtraction method. The noise spectrum is the spectrum of a single rod sound that needs to be muffled. The resulting audio is the other single rod sound and vice versa to get both single rod sound. The data consisted of single rod hit sound recordings of 11 single rod sound and 55 combinations of two-rods sounds being hit at the same time. The performance of the spectral subtraction method in separating Rindik sound was measured with MSE and SIR and also heard the noise exists in the separated audio signal. The experiment demonstrated a state-of-the-art performance consists of spectral subtraction with squared noise average magnitude with average MSE value 0.0126 and average SIR value 55.68 dB.

This research will analyze which fuzzy membership function (MF) gives the best results in the implementation of the Adaptive Neuro-fuzzy inference system (ANFIS) method. The case study conducted is to predict the growth of inflation in Bali Province with ANFIS which has the main objective of analyzing the fuzzy membership function and designing a model that can predict the value of inflation growth. Inflation can also be defined as a process of increasing general prices or decreasing the value of money continuously. Inflation growth prediction uses the ANFIS method with five input parameters in the form of regional economic indicators, and the number of pairs of initial data used is 34 annual periods. Several types of membership functions (MF) that will be tested and analyzed are triangular MF, MF trapezium, and MF gbell. The cryptic inference system used is TSK-Order One, and the learning method used is a hybrid method. Based on the research results, the analysis of the fuzzy membership function in the inflation prediction system produces the best error is 1.35E-07 with the type of triangular membership function (MF).

This study aims to analyze the effectiveness of online learning in calculus 2 during the Covid-19 pandemic. The study was conducted in a civil engineering study program at a private tertiary institution on Sumbawa Island. This research is a quasi-experimental research design model non-equivalent control group design. The number of subjects in this study was 71 people. Data analysis used a paired sample t-test analysis with the help of SPSS software. Based on the results of data analysis, online learning is not effective in calculus 2 subjects in the pandemic covid-19 period, there is a significant relationship between conventional learning and online learning and there is a significant difference between conventional learning and online learning. The average value of student learning outcomes is decreased when the online learning system is applied. From these results it can be concluded the online learning system in the 2nd calculus course during the Covid-19 pandemic has not been effective.

Sekar Agung or wirama is a Balinese classic work which contains of moral values, and is usually sung during traditional or religious ceremonies. The classic nature of wirama made this art was abandoned by the younger generation who were less interested to learn or preserve it. Related to the problem, this study aimed at conducting sound matching as a medium to learn wirama praharsini based on the rule of guru and laghu. Wirama Praharsini was chosen because of the simple way of singing and pronunciation when it was compared to the other kinds of wirama. This study applied voice recognition method to identify words’ pronunciation in wirama praharsini. MFCC (Mel Frequency Cepstrum Coefficient) was used to extract the voice feature from expert and the tester. The extraction results were compared with the DTW (Dynamic Time Warping) method that was used to compare two sound features from MFCC process. The result of this study showed average accuracy value of 88.89% which indicated that the implementation of MFCC and DTW method could be done to recognize the wirama praharsini pronunciation and detect the right way to sing it based on the rules of guru and laghu in wirama.