State University of Semarang

About: State University of Semarang is a education organization based out in Semarang, Indonesia. It is known for research contribution in the topics: Population & Curriculum. The organization has 7737 authors who have published 7790 publications receiving 38055 citations. The organization is also known as: Universitas Negeri Semarang.

Percussion Pattern of Terebang Gede in Panggung Jati Studio, Panggung Jati Village, Serang

Abstract: The characteristics of a region become an identity that is certainly inseparable from the noble values it adheres to, including religious values as the foundation for the formation of art of terebang gede in the Panggung Jati studio, Panggung Jati village, Serang, Banten This study aims to describe the percussion patterns in the art of Terebang Gede both in text and context by using a qualitative paradigm with descriptive analytical methods As a highlighted theory, ethnomusicology is used to analyze the existence of music in a culture, both from physical aspects and socio-cultural aspects The data collection technique is done by interview, documentation study, and literature study The data analysis stages are carried out in the order of data collection, data reduction, data organizing into a pattern, category, and description into basic descriptions that lead to the concluding process The results showed that the percussion pattern of terebang gede is very simple The percussion patterns on all existing musical instruments, such as the musical instrument of koneng, kempul, penganak (bibit), interlude, and bass (terebang gede), still follow the framework of the percussion “standard” which is hereditary from previous generations Until now, this accompaniment without the development of rhythmic variations has been used to accompany syair or sholawat Al-Barzanjiwith with tones of Sundanese-style songs of the salendro type Changes in accompaniment were not made because this performance was only performed on special occasions for Muslims to broadcast and support worship which was not intended as entertainment music

Pengaruh kepuasan dan motivasi kerja terhadap kinerja karyawan dengan organizational citizenship behavior (ocb) sebagai variabel intervening

Abstract: The purpose of this study is to determine the influence of job satisfaction, work motivation, and Organizational Citizenship Behavior (OCB)on employees’ performance directly and indirectly that is mediated by Organizational Citizenship Behavior (OCB). The population in this study were all employees of PT Plasa Simpanglima Semarang is 152 employees.Samples used is106 employees.The method of data collection is by quesionares. Data analysis using path analysis. The conclusion of this study areinfluence job satisfaction and work motivation onOCB, the influence OCB on employee performance andOCB has mediate the relationship between job satisfaction and work motivation on employee performance

Support Vector Machine (SVM) Optimization Using Grid Search and Unigram to Improve E-Commerce Review Accuracy

Abstract: Electronic Commerce (E-Commerce) is distributing, buying, selling, and marketing goods and services over electronic systems such as the Internet, television, websites, and other computer networks. E-commerce platforms such as amazon.com and Lazada.co.id offer products with various price and quality. Sentiment analysis used to understand the product’s popularity based on customers’ reviews. There are some approaches in sentiment analysis including machine learning. The part of machine learning that focuses on text processing called text mining. One of the techniques in text mining is classification and Support Vector Machine (SVM) is one of the frequently used algorithms to perform classification. Feature and parameter selection in SVM significantly affecting the classification accuracy. In this study, we chose unigram as the feature extraction and grid search as parameter optimization to improve SVM classification accuracy. Two customer review datasets with different language are used which is Amazon reviews that written in English and Lazada reviews in the Indonesian language. 10-folds cross validation and confusion matrix are used to evaluating the experiment results. The experiment results show that applying unigram and grid search on SVM algorithm can improve Amazon review accuracy by 26,4% and Lazada reviews by 4,26%.

Personality Traits Prediction of Fear of Missing Out In College Students

Abstract: The internet users, especially social media users are increasing in the last decade. This intensive using of social media induces behavioral changes of its users. One of the phenomena emerging is the fear of missing out. Personality has different effect on the rising fear. This research is aimed to recognize the relation between personality traits on fear of missing out on students. This study involved 643 students. The research data were collected by Big Five Inventory scale. The fear of missing out scale is modified from the previous research (Hato, 2013 and Przybylski, 2013). The data were analyzed by multiple regression using statistic software. The analysis resulted in r= 0,248 with significance or p= 0,000, therefore hypothesis stating that there is a relation between the big five personality traits and fear of missing out about social media is accepted. The research results show that extraversion and agreeableness have positive correlation to fear of missing out. While neuroticism has negative correlation and conscientiousness doesn’t correlate to fear of missing out.

Google classroom as a mathematics learning space: potentials and challenges

Abstract: Information and communication technologies have become a very powerful means of student engagement in an online learning environment. Google Classroom is an easy-to-use educational application that enables teachers to extend their student learning online. With Google Classroom, teachers can create classes, post assignment, grade and send feedback, and see students' works in real-time. This study aims to investigate the students' perspectives on their engagement in online learning in Google Classroom. An ethnographic case study was employed to explore and observe student activities in a virtual class in Google Classroom. Questionnaire survey and semi-structured interviews were conducted to understand students' perceptions of online learning through Google Classroom. The results showed that Google Classroom has good potential to support students' learning. Students could access the learning resources provided by the teacher at anytime and anywhere. They were also able to construct their knowledge by actively participating in an online discussion forum, and the instructional practices can be performed efficiently. Some challenges that arise included the limited availability of devices, technical issues, and the low level of familiarity of Google Classroom's features, the readiness of students to study independently online. Although challenges arise, the teacher enabled to deal with the issues well.