Sebelas Maret University

About: Sebelas Maret University is a education organization based out in Surakarta, Indonesia. It is known for research contribution in the topics: Population & Public health. The organization has 10901 authors who have published 10832 publications receiving 33057 citations. The organization is also known as: Universitas Negeri Surakarta & Universitas Sebelas Maret.

Twitter sentiment analysis of DKI Jakarta's gubernatorial election 2017 with predictive and descriptive approaches

Abstract: The main purpose of this research is to analyze sentiment of DKI Jakarta's gubernatorial election 2017 in social media Twitter with predictive and descriptive approaches. The dataset were collected from Twitter by using each candidate's username as the search query. For the predictive approach, machine learning algorithms such as Multinomial Naive Bayes and Support Vector Machine are used to classify the dataset. As for the descriptive approach, time series graphs and wordclouds are used to get the deeper insights of the dataset and find the connection between Twitter's sentiment and the result of the election itself.

Multimedia based learning materials for deaf students

Abstract: Deaf students have different abilities from students who have the ability to hear a lesson at school. Barriers to hear experienced by students with hearing impairment can affect the language, academic, and social skills of deaf students. Deaf students can still obtain information from other senses that are still functioning, such as the senses of sight, touch, taste and smell or of residual hearing that still exist. In the world of education, one way to overcome this obstacle is by making multimedia based learning materials which consider the principles of learning for learners with hearing impairment; a series of development of the elements of audio, visual, and digital technology to facilitate the learning activities of deaf students so that the passion, quality, and achievement of deaf students can be improved. Article visualizations:

Corporate governance and social disclosure: a comparative study of listed hospitality industries in South East Asia

Abstract: This research aims to examine the social disclosure in South East Asia hospitality companies, and the relationship between corporate governance and its social disclosure. Corporate governance are identified from board of commissioner size, proportion of independent commissioner, managerial ownership, and institutional ownership. Company's social disclosure are measured using the GRI 3.1. This research uses secondary data from hospitality companies listed in Indonesia Stock Exchange (IDX), Bursa Malaysia, and The Stock Exchange of Thailand (SET) in 2012-2014. The sample are 38 hospitality companies that generated using purposive sampling method. This research employs ANOVA and multiple regression analysis. The result of ANOVA shows that there are differences among social disclosure in South East Asia. The multiple regression analysis result shows that the size of board of commissioner, managerial ownership, and institutional ownership have positive impact on social disclosure. Proportion of independent commissioner has no significant effect on social disclosure.

Metagenomic analysis of microbial community in over-fermented tempeh

Abstract: . Pangastuti A, Alfisah RK, Istiana NI, Sari SLA, Setyaningsih R, Susilowati A, Purwoko T. 2019. Metagenomic analysis of microbial community in over-fermented tempeh. Biodiversitas 20: 1106-1114. Tempeh is a traditional Indonesian food which is made from soybeans through a fermentation process using Rhizopus as a starter culture. Tempeh is now considered as a functional food with many beneficial effects to human health beyond its nutritional value. The microbial community during the further fermentation process of tempeh give typical characteristic taste and flavor. Therefore the over-fermented tempeh is used as a flavoring in some dishes. Metagenomic analysis needed to know the involvement of microbial communities since most of the microbes involved in further fermentation process are unculturable. This research aimed to study the diversity of the microbial community in the over-fermented tempeh (72 hours) using the metagenomic analysis. Seventeen OTUs of fungi in over-fermented tempeh were detected. Among them, 9 OTUs had significant abundance: six species were identified as Tryblidiopsis sichuanensis, Candida sp.2_1., Kluyveromyces marxianus, Trichosporon asahii, Trichosporon gracile, and Trichosporon ovoides, one species was identified in the order level Mucorales, and two fungi species could not be determined. Species of the order Mucorales was the dominant species in over-fermented tempeh (72 hours) with a relative abundance of 62.46%, followed by Kluyveromyces marxianus with a relative abundance of 3698%. Meanwhile, 132 OTUs of the bacterial community was detected, the predominant 10 genera were Chryseobacterium, Lactococcus, Lactobacillus, Streptococcus, Acetobacter, Novosphingobium, Comamonas, Escherichia, Klebsiella, and Stenotrophomonas, in which Lactobacillus agilis, Lactococcus sp., and Klebsiella sp., were most abundant with relative abundance of 27%, 26.3%, and 13% respectively.