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ARRUS Journal of Social Sciences and Humanities
ISSN : 27767930     EISSN : 28073010     DOI : https://doi.org/10.35877/soshumv1i1
Social Sciences: Anthropology, Asian Studies, Communication, Demography, Development, Gender Studies, Government & Public Policy, Human Ecology, International Relations, Media Studies, Peace and Conflict, Political Science, Science, Technology & Society, Sociology. Humanities: Cultural Studies, Education, History, Human Geography, Linguistics, Philosophy, Religion.
Articles 15 Documents
Search results for , issue "Vol. 4 No. 1 (2024)" : 15 Documents clear
Student's Issues Depicted through TOEFL Score Test: A Case Study in Medical Laboratory Technology of X University in Padang Yeyep Natrio; Melly Siska Suryani; Sariani Sariani
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2417

Abstract

This study is intended to analyze the obstacles encountered by test takers and to give insight to the university, especially the Language Centre Unit, to rebuild strategies in prioritizing the further attention of the teaching methods. The data were derived from 62 medical laboratory technology students with the purposive sampling technique. Quantitative and qualitative analyses were used to analyze the data. The data collection included the TOEFL score and drilling tests during the TOEFL preparation training by employing the non-participant observational method. The result reveals that medical laboratory technology students were still at the elementary level, with an average score was 384. Structure, with an average correctness of 13 is the most challenging part of the three sections, followed by reading comprehension 16 correct answers. The easiest part is listening comprehension, depicted in the table of correctness with 18 correct answers. Therefore, the finding of this research suggests that the language center in the university should produce extensive TOEFL preparation training based on the previous results from the test taker's issues with appropriate TOEFL material as solution to student`s obstacles in TOEFL test. The language center should have provided not only the TOEFL test but also facilitated the courses that focus on each skill in the TOEFL part.
Analysis of Urban Millennial's Financial Behavior: An Ethnography Study of Javanese and Minangnese on Managing Their Salary in Pursuing Wealth Nur Ratna Komalasari; Mulyadi Mulyadi; Femil Ishak; Jerry Haikal
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2420

Abstract

Personal financial management among urban millennials is influenced by several factors, such as cultural, financial literacy, and the courage to take risks. In this study, the author wants to recognize the pattern of salary management to achieve the welfare of urban millennials, mostly urban workers who come from various regions in Indonesia. The research focused on spending habits to save, understanding the types of investments, and their behavior and courage to invest, which is correlated to their ethnic cultural habits. This study employed a qualitative ethnographic technique by conducting direct interviews with 6 (six) respondents of the millennial generation aged 25-40 years from the Javanese and Minangkabau tribes. They are professional workers lived in the DKI Jakarta area and have a fixed income that comes from salary. Based on the results of the study, it reveals that the majority of respondents already have sufficient financial literacy and financial behavior by setting aside a portion of their income every month on a regular basis to be used as savings and invested. It can also be seen that their ethnic character influences the types of investments they choose.
Democracy and Reflections on 25 Years of Indonesian Reformation Ahmad Naufal Afni Caya; Luqmanul Hakim
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2422

Abstract

Democracy has grown since the time of Ancient Greek civilization with the concept of Greek city states and Athens in 450 BC and 350 BC. Even in 431 BC, Pericles, a well-known Athenian statesman, defined democracy by putting forward several criteria: (1) government by the people with full and direct participation of the people; (2) equality before the law; (3) pluralism, namely respect for all talents, interests, desires and views; and (4) respect for a separation and personal area to meet and express individual personality (Roy C Macridis, 1983:19-20). In the same era, we can also get acquainted with the political thoughts of Plato, Aristotle, Polybius and Cicero, etc., to mention some of the thinkers of that time, who also laid the foundations for the notion of democracy. During its development, the concept of democracy underwent an increasing fertile phase and moved towards moderation during the Renaissance. So far, great thoughts have arisen about the relationship between the two rulers or the state on the one hand and the people on the other. There are new and surprising thoughts about the power and thought of Niccolo Machiavelli (1469-1527). On the Social Contract and the Separation of Powers by Thomas Hobbes (1588-1679), Jhon Locke (1632-1704). Many of these big names have thoughts of contributing significantly to efforts to redefine or implement the term democracy.
Students’ Online Learning Satisfaction in Relation to their Academic Performance in Mathematics Katherine Rose G. Lopez; Jhed Gabriel L. Sanchez; Vincent Cataraja; Genelyn Baluyos
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2436

Abstract

Students' satisfaction are indicator of academic success in relation to the student's performance in online learning. This study determined the predictors of students' academic performance at Misamis University, particularly Junior High School students. The total populations of junior high students were 415, and the target respondents were 200 students. The researchers used the descriptive-correlational research design and the Students' Online Learning Satisfaction Questionnaire (SOLSQ) as instruments. Mean, standard deviation, Pearson r, and Stepwise Regression Analysis were the statistical tools used. Findings revealed that students were highly satisfied with their online learning. They performed very satisfactorily in their online class. There was a significant relationship between the students’ online learning satisfaction and their academic performance in mathematics. Teacher characteristics predicted students' academic performance in Mathematics. Knowledge and literacy in using technologies as a medium for instruction help teachers to be more effective in teaching online learning. The study recommends that teachers need to be digitally literate in using technology as a medium of instruction. Future researchers have to look into other factors that might contribute to the student's academic performance in online learning.
Evaluating Random Forest Algorithm in Educational Data Mining: Optimizing Graduation on-time prediction using Imbalance Methods Rizal Bakri; Niken Probondani Astuti; Ansari Saleh Ahmar
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2449

Abstract

The study aims to evaluate the performance of Random Forest algorithms in data mining education by optimizing graduation on-time (GOT) predictions using imbalanced data methods. Methods used to handle imbalanced data include random under-sampling (RUS), random over-sampling (ROS), hybrids of RUS and ROS, synthetic minority over-sampling techniques for nominal classes (SMOTE-NC), and hybrids of SMOTE-NC and RUS. After applying these methods, studies analyze their performance on training and testing data. The research findings show that on training data, the RUS-ROS hybrid showed the best performance compared to other methods, while the SMOTENC and RUS hybrid techniques showed the best performance on testing data based on AUC values. The research showed that the use of an imbalanced data method significantly improved the ability of Random Forest algorithms to predict graduation on time (GOT) in the context of educational data. We discuss the implications for educational data mining applications and provide suggestions for future research.

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