Universitas Teknologi Yogyakarta

Perkembangan teknologi yang semakin canggih menjadi sarana penting untuk mencapai tujuan pendidikan yang lebih efektif dan efesien. Namun di balik itu menjadi tuntutan besar bagi para dosen/guru untuk mengembangkan kemampuan dalam menguasai teknologi dan media pembelajaran. Peranan media pembelajaran dalam proses belajar dan mengajar sangat penting dilaksanakan oleh para pendidik saat ini, karena peranan media pembelajaran dapat digunakan untuk menyalurkan pesan pengirim kepada penerima dan melalui media pembelajaran juga dapat membantu peserta didik untuk menjelaskan sesuatu yang disampaikan oleh pendidik. Oleh karena itu, dosen/guru dituntut untuk menggunakan media di dalam proses pembelajaran. Dengan demikian, melalui media pembelajaran dapat membuat proses belajar mengajar lebihefektif dan efesien serta terjalin hubungan baik antara guru dengan peserta didik. Selain itu, media dapat berperan untuk mengatasi kebosanan dalam belajar di kelas. Jadi media pembelajaran adalah salah satu metode dalam mengatasi segala macam persoalan dalam mengajar, bukan saja mengatasi persoalan, namun media pemberi pembelajaran memberi berbagai informasi yang koprehensip kepada peserata didik. Kata-kata kunci : media pembelajaran , minat belajar mahasiswa

Presently, educational institutions compile and store huge volumes of data, such as student enrolment and attendance records, as well as their examination results. Mining such data yields stimulating information that serves its handlers well. Rapid growth in educational data points to the fact that distilling massive amounts of data requires a more sophisticated set of algorithms. This issue led to the emergence of the field of educational data mining (EDM). Traditional data mining algorithms cannot be directly applied to educational problems, as they may have a specific objective and function. This implies that a preprocessing algorithm has to be enforced first and only then some specific data mining methods can be applied to the problems. One such preprocessing algorithm in EDM is clustering. Many studies on EDM have focused on the application of various data mining algorithms to educational attributes. Therefore, this paper provides over three decades long (1983-2016) systematic literature review on clustering algorithm and its applicability and usability in the context of EDM. Future insights are outlined based on the literature reviewed, and avenues for further research are identified.

Purpose The purpose of this paper is to empirically examine the relation between two dimensions of auditor quality, namely, auditor industry specialization and auditor reputation and the audit report lag. Design/methodology/approach The data collection focuses on companies listed on the Indonesia Stock Exchange for the financial year of 2010 and 2011. To ensure data homogeneity and reduce industry bias, this study focuses solely on manufacturing companies identified by the Indonesian Capital Market Directory. Findings This study finds a negative and significant association between industry-specialist auditors and audit report timeliness. Companies audited by industry-specialist auditors have shorter audit delays. The authors also find evidence that Big 4 auditors perform significantly faster audit work than their non-Big 4 counterparts. In addition, this study reports a statistical and significant relationship between auditing complexity, companies’ profitability, auditors’ business risk, and industry classification and audit report lag. The results show that firms with a large number of subsidiaries and firms experiencing poorer financial performance are found to be associated with longer reporting delays. Moreover, audit report timeliness is found to be faster for companies in the low-profile industry sector and owned by family members. Research limitations/implications Similar to other empirical investigations, this study is not without certain caveats. First, the period of audit report lag in this study reflects the audit work from the year-end to the audit report date. The authors do not consider audit work conducted outside this period in the analysis. Second, there are numerous control variables and although the authors have attempted to capture those variables to maintain the integrity of the research there are likely other excluded variables that may be important in explaining audit report timeliness. Finally, there are other factors, for example, an administrative approval process with the audit firm home office, which can affect audit report lags but have not been included in the model analysis. Future studies can seek to focus on refinements to the proxy measures for dependent and experimental variables. Practical implications Insights drawn from this study may be of assistance to policy makers as they consider the costs and benefits associated with varying levels of audit market concentration as well as providing a snapshot of the level of non-compliance on audit timeliness in Indonesia. Originality/value This study provides further empirical evidence on the relation between auditor quality and audit report lag using data from a different domestic setting. This study also enriches the auditor quality literature by employing industry-specialist and Big 4 auditors as a predictor for the timeliness of audit reports.

The purpose of this article is to provide a brief report on how the Indonesian population has experienced the COVID-19 pandemic in the first 2 months since the establishment of COVID-19 Rapid Response Task Force on March 13. The discussion will focus on the psychological trauma that the population has experienced due to the lack of preparedness, the poorly equipped health care system, and lockdown policies in dealing with the spread of the coronavirus. Four different types of psychological trauma were increasingly observed, based on digital communication with people affected and reports from the news and social media. These 4 types of psychological trauma were social withdrawal, hysteria, individual violence, and collective violence. On the basis of the described psychological consequences of the pandemic, it can be assumed that both the individual and collective reactions must be considered to reduce harm of the coronavirus pandemic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Intelligent data handling techniques are beneficial for users; to store, process, analyze and access the vast amount of information produced by electronic and automated devices. The leading approach is to use recommender systems (RS) to extract relevant information from the vast amount of knowledge. However, early recommender systems emerged without the cognizance to contextualize information regarding users’ recommendations. Considering the historical methodological limitations, Context-Aware Recommender Systems (CARS) are now deployed, which leverage contextual information in addition to the classical two-dimensional search processes, providing better-personalized user recommendations. This paper presents a review of recent developmental processes as a fountainhead for the research of a context-aware recommender system. This work contributes by taking an integrated approach to the complete CARS developmental process, unlike other review papers, which only address a specific aspect of the CARS process. First, an in-depth review is presented pertaining to the state-of-the-art and classified literature, considering the domain of the application models, filters, extraction and evaluation approaches. Second, viewpoints are presented relating to the extraction of literature with analysis on the merit and demerit of each, and the evolving processes between them. Finally, the outstanding challenges and opportunities for future research directions are highlighted.

Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied to increase the efficiency of diagnosis at the early stage. This paper studies a support vector machine (SVM) combined with an extremely randomized trees classifier (extra-trees) to provide a diagnosis of breast cancer at the early stage based on risk factors. The extra-trees classifier was used to remove irrelevant features, while SVM was utilized to diagnose the breast cancer status. A breast cancer dataset consisting of 116 subjects was utilized by machine learning models to predict breast cancer, while the stratified 10-fold cross-validation was employed for the model evaluation. Our proposed combined SVM and extra-trees model reached the highest accuracy up to 80.23%, which was significantly better than the other ML model. The experimental results demonstrated that by applying extra-trees-based feature selection, the average ML prediction accuracy was improved by up to 7.29% as contrasted to ML without the feature selection method. Our proposed model is expected to increase the efficiency of breast cancer diagnosis based on risk factors. In addition, we presented the proposed prediction model that could be employed for web-based breast cancer prediction. The proposed model is expected to improve diagnostic decision-support systems by predicting breast cancer disease accurately.

Here we present the results of local source tomographic inversion beneath central Java. The data set was collected by a temporary seismic network. More than 100 stations were operated for almost half a year. About 13,000 P and S arrival times from 292 events were used to obtain three‐dimensional (3‐D) Vp , Vs , and Vp / Vs models of the crust and the mantle wedge beneath central Java. Source location and determination of the 3‐D velocity models were performed simultaneously based on a new iterative tomographic algorithm, LOTOS‐06. Final event locations clearly image the shape of the subduction zone beneath central Java. The dipping angle of the slab increases gradually from almost horizontal to about 70°. A double seismic zone is observed in the slab between 80 and 150 km depth. The most striking feature of the resulting P and S models is a pronounced low‐velocity anomaly in the crust, just north of the volcanic arc (Merapi‐Lawu anomaly (MLA)). An algorithm for estimation of the amplitude value, which is presented in the paper, shows that the difference between the fore arc and MLA velocities at a depth of 10 km reaches 30% and 36% in P and S models, respectively. The value of the Vp / Vs ratio inside the MLA is more than 1.9. This shows a probable high content of fluids and partial melts within the crust. In the upper mantle we observe an inclined low‐velocity anomaly which links the cluster of seismicity at 100 km depth with MLA. This anomaly might reflect ascending paths of fluids released from the slab. The reliability of all these patterns was tested thoroughly.

A chatterbot or chatbot aims to make a conversation between both human and machine. The machine has been embedded knowledge to identify the sentences and making a decision itself as response to answer a question. The response principle is matching the input sentence from user. From input sentence, it will be scored to get the similarity of sentences, the higher score obtained the more similar of reference sentences. The sentence similarity calculation in this paper using bigram which divides input sentence as two letters of input sentence. The knowledge of chatbot are stored in the database. The chatbot consists of core and interface that is accessing that core in relational database management systems (RDBMS). The database has been employed as knowledge storage and interpreter has been employed as stored programs of function and procedure sets for pattern-matching requirement. The interface is standalone which has been built using programing language of Pascal and Java.

The prevalence of stunting in young Indonesian children is the highest among countries belonging to the Association of Southeast Asian Nations (ASEAN). Breastfed children are reported to grow better than non-breastfed. The present study examined the protective effect of exclusive breastfeeding against stunting in children under two years old (CU2) and its interaction with monthly household expenditure. Secondary analyses were conducted based on a 2012 cross-sectional study including 408 children aged 6-24 months and their caregivers from 14 villages in rural Eastern Indonesia. Data on breastfeeding history, childcare, and household expenditures were collected using structured questionnaires. Focus Group Discussions (FGDs) were conducted in each village (n = 14). Nearly two-thirds (61%) of caregivers who identified as the biological mother exclusively breastfed their child at 6 months. Exclusively-breastfed CU2 from poorer households were 20% less likely to be stunted than their non-exclusively-breastfed peers. Further, exclusively-breastfed CU2 from wealthier households were 50% less likely to be stunted than non-exclusively-breastfed CU2 from poorer households. FGDs revealed that some mothers were unaware of the importance of recommended breastfeeding practices. Exclusive breastfeeding may protect low-income children against stunting. Health promotion to improve caregiver motivation to exclusively breastfeed is critical in the present setting and beyond.

This study analyzed the factors which influence the acceptance of the Financial Information System for local Government (SIPKD) using the Technology Acceptance Model (TAM). TAM stated that behavioral intension to use Information System are determined by two beliefs: perceived usefulness (POU) and perceived ease of use (PEU). Perceived usefulness (POU) was defined as the extent to people were sure that the use of the system will improve its performance. Perceived ease of use (PEU) was defined as the extent to people were sure that the system is easy to use. This study analyzed the acceptance SIPKD in the context of the acceptance by the user. User are the local government employee have an obligation to run SIPKD. The analysis focused on the user's perception regarding SIPKD they should run. User perception analyzed is user perception about the ease of use SIPKD and user perceptions about the benefits SIPKD in their work. Research was conducted on the SIPKD in the Special Province of Yogyakarta. Respondents of this study 67 from various agencies in the region of Yogyakarta. The results showed that the Perceived usefulness influence the using of SIPKD, while Perceived Ease of Use does not influence

Obesity has become a significant problem for developing countries, including Indonesia. High duration of sedentary activity and high intake of unhealthy foods were associated with high risk of overweight and obesity. The objective of this study was to compare the distributions of sedentary activity and dietary behavior with overweight/obesity risks between urban and rural areas among children and adolescents aged 10-18 years in Indonesia. This is a cross-sectional study. Data from a national survey in 33 Indonesian provinces (Basic Health Research /Riskesdas 2013) were analyzed. Multiple logistic regression models were used to calculate the odds ratio (OR) adjusted with all variables, such as age, gender, residency, education level, physical activity, and food intake. An urban-rural residence difference was found in the factors related to obesity. Daily caffeinated soft drinks and energy drinks consumption (OR = 1.12, 95% CI: 1.01-1.23) were related to risk of overweight and obesity in urban areas. Daily grilled foods (OR = 1.32, 95% CI: 1.22-1.42) and salty food (OR = 1.09, 95% CI: 1.04-1.15) consumption were significantly associated with obesity in rural areas but not in urban areas. Furthermore, sedentary activity was correlated with overweight and obesity among those who lived in urban and rural areas. Our findings suggest that education, environmental, and policy interventions may need to specifically target urban settings, where access is high to a wide range of processed and traditional high-sugar, high-fat snack foods and beverages.

Nowadays fraudulent actions on financial statements are increasing. The impact of these actions is not only felt by investors individually but also affects global economic stability. There has been a lot of research related to fraud using fraud triangle model consists of pressure, opportunity and rationalization. Then fraud diamond model emerged that added capability as one of the factors related to fraud as an additional factor besides three factors on the fraud triangle model. Then fraud pentagon model appeared which also included arrogance factors related to fraud. This study aims to examined the influence of factors on fraud pentagon model (arrogance, competence / capability, pressure, opportunity and rationalization) on fraudulent financial statements. This research used manufacturing company listed in Indonesia Stock Exchange as samples and used data from 2014-2015. Data were analyzed using multiple linear regression. The results indicate that arrogance does not affect fraudulent financial statements.

BACKGROUND: Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL tutorial. Self-assessment is a central component of the self-regulation of student learning behaviours. There are few measures to investigate self-assessment relevant to PBL processes. We developed a Self-assessment Scale on Active Learning and Critical Thinking (SSACT) to address this gap. We wished to demonstrated evidence of its validity in the context of PBL by exploring its internal structure. METHODS: We used a mixed methods approach to scale development. We developed scale items from a qualitative investigation, literature review, and consideration of previous existing tools used for study of the PBL process. Expert review panels evaluated its content; a process of validation subsequently reduced the pool of items. We used structural equation modelling to undertake a confirmatory factor analysis (CFA) of the SSACT and coefficient alpha. RESULTS: The 14 item SSACT consisted of two domains "active learning" and "critical thinking." The factorial validity of SSACT was evidenced by all items loading significantly on their expected factors, a good model fit for the data, and good stability across two independent samples. Each subscale had good internal reliability (>0.8) and strongly correlated with each other. CONCLUSIONS: The SSACT has sufficient evidence of its validity to support its use in the PBL process to encourage students to self-assess. The implementation of the SSACT may assist students to improve the quality of their learning in achieving PBL goals such as critical thinking and self-directed learning.

This study provides evidence on the cross-sectional relationship between firm-specific variables and management's choice of accounting policies by examining four key accounting-policy disclosures in the 2000/2001 annual reports of 442 listed companies in the Asia Pacific region. The dependent variable is the composite measure for the income increasing (decreasing) accounting-policy choice tendency. The results show that firm-specific variables linked to Costly Contracting Theory partially explain management's choice of accounting policies. Companies that pursue income-increasing accounting techniques are characterized by lower financial leverage, lower level of ownership concentration, and higher investment opportunity sets. This finding holds true when country and industry control variables are not considered. When the control variables are included, the CCT variables are less a factor and instead country of reporting provides the strongest explanation for company managers' choice of accounting policies. Indonesian companies utilize the most income-decreasing accounting technique.

Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user's expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.

BACKGROUND AND OBJECTIVES: Exclusive breastfeeding provides many benefits to both infants and mothers. Despite the introduction of laws aimed at protecting the practice of exclusive breastfeeding, the coverage of exclusive breastfeeding remains low, particularly for working mothers. METHODS AND STUDY DESIGN: This crosssectional study recruited working mothers employed in medium and large companies in Bantul District, Daerah Istimewa Yogyakarta, Indonesia. The study participants were 158 working mothers whose children were aged 6- 12 months, and they were selected using the probability proportional to size technique. The data were analyzed using descriptive statistics, chi-square tests, and multiple logistic regression. RESULTS: Adequate family support for breastfeeding (OR: 2.86; 95% CI: 1.25-6.53) and a high paternal education level (OR: 2.68; 95% CI: 1.11- 6.48) were significantly associated with the practice of exclusive breastfeeding among working mothers. However, the infant's sex and age, parity, and the mother's age and education level were unassociated with exclusive breastfeeding. CONCLUSION: Family support and a high paternal education level are crucial in enabling working mothers to practice exclusive breastfeeding. Interventions that promote exclusive breastfeeding should focus on involving the husband and other family members in health care programs related to breastfeeding.

The abundance of bamboo tree inventory in Indonesia it can be used as a new business opportunity that is promising for Brajan tourist village. To be more recognized by the public, both nationally and internationally, the need for the development of the potential in the tourist village Brajan. The purpose of this study was to determine the potential development strategies Brajan tourist village. This study used a qualitative descriptive method. Based on the research results, development of rural tourism Brajan strategy can be formulated by using SWOT and strategy alisis SO, ST, WO, WT. Strategy development potential tourist village Brajan with participatory planning in the development of tourism in the tourist village Brajan by implementing Community Based Tourism as an approach to tourism development.

Abstract The mental workload affects productivity workers to accomplish the task. Staff has many tasks that not only main task but additional task. The additional task is from superior in the same place or the other place. The SOP for duties and distribution of task is not clear so the fatigue can affect to productivity. The method to measure mental workload is NASA-TLX. NASA TLX has six indicators: mental demand, physical demand, temporal demand, performance, frustration, and effort. The analysis not only based on result of NASA TLX but also using statistic test. The result is performance indicator is high that described the staff not satisfied with their job has done. The staff not satisfy but the effort has been taken out is very high. The result of Mann Whitney is not different with two group of the period long term of working which divided in < 7 years and >7 years. The result of correlation test is if the staff make more effort, the satisfaction for their tasks has been done is bigger. The regression test produces an equation but cannot be used to calculation or prediction the staff mental workload. Because regression coefficient is not significant (not usable). The solution is staff must divide the task. Dissatisfaction can reduce motivation and the members cannot perform well.

Penelitian ini bertujuan untuk mengungkapkan adanya hubungan peran orang tua dan pendidik dalam menerapkan perilaku disiplin terhadap anak usia dini. Menggunakan metode penelitian kuantitatif. Pengumpulan data dengan wawancara terstruktur skala Guttman, observasi dengan dokumentasi pada 35 anak usia dini di Kelompok Bermain Surya Marta Yogyakarta. Hasil penelitian adalah tingkat keeratan hubungan antara peran orang tua dengan perilaku disiplin anak usia dini adalah sangat lemah dan hubungannya berbanding terbalik, tingkat keeratan hubungan antara peran pendidik terhadap perilaku disiplin anak adalah lemah, dan hubungannya searah, tingkat keeratan antara hubungan peran orang tua dan pendidik secara bersama-sama adalah lemah dan hubungannya tidak searah. Rekomendasi hasil penelitian kepada orang tua dan pendidik supaya mengoptimalkan perannya dengan memberikan arahan kepada anak usia dini dalam berperilaku disiplin, mengadakan hubungan dengan bekerja sama dalam menerapkan perilaku disiplin terhadap anak usia dini.Kata Kunci: peran orang tua dan pendidik, perilaku disiplin, anak usia dini. THE ROLES OF PARENTS AND EDUCATORS IN THE APPLICATION OF THE DISCIPLINE BEHAVIOR OF EARLY AGED CHILDRENAbstractThis study aims to investigate the relationship of parents and educators’ roles in the application of the discipline behavior in early aged children The study employed the quantitative research method. The data collecting techniques included structured interviews using the Guttman scale and observations with documentation on 35 early aged children in Surya Marta Play Group Yogyakarta. The results of the study are as follows. The level of the relationship strength between parents’ roles and the discipline behavior of early aged children is very low and the relationship of the two variables is negative. The level of the relationship strength between educators’ roles and the discipline behavior of early aged children is low and the relationship of the two variables is positive. The level of the relationship strength of parentsand educators’ roles as an aggregate is low and the relationship is negative. The recommendations from the results of the study are as follows: parents and educators should optimize their roles by giving guidance on the discipline behavior to early aged children. Parents and educators are expected to establish cooperative relationship in the application of the discipline behavior of early aged children.Keywords: the roles parents and educators, dicipline behavior, early aged children

Perkembangan e-commerce pada saat ini semakin pesat ditandai dengan semakin meningkatnya pengguna internet di Indonesia. Business to Customer merupakan salah satu model e-commerce yaitu suatu proses bisnis dimana penjual (produsen) berhadapan langsung dengan pembelinya. Sifat dari bisnis tersebut adalah terbuka dan bebas dimanfaatkan oleh khalayak umum, cara mengaksesnya melalui sebuah website yang disediakan oleh sang penjual. Proses jual beli yang bersifat konvensional saat ini masih banyak digunakan di era perkembangan teknologi internet yang semakin pesat. Namun proses jual beli konvensional dirasa kurang efisien karena mengharuskan penjual dan pembeli bertemu secara langsung dan juga daya cakup penjualan dirasa kurang luas, sehingga dibutuhkan media penjualan yang efisien dan mempunyai daya cakup yang luas. Agar permasalahan tersebut tidak berkelanjutan maka akan dibangun sebuah website e-commerce model business to customer. E-Commerce yang dibangun akan menyediakan halaman kuesioner bagi pelanggan yang nantinya akan diimplementasikan metode customer satisfaction index (CSI) yang menghasilakan index kepuasan pelanggan terhadap e-commerce yang telah dibangun. Untuk pengembangan perangkat lunak, menggunakan PHP (Pear Hypertext Prepocessor) dan HTML (HyperText Markup Language) sebagai bahasa pemrograman, MySQL sebagai database server, Sublime Text 3 sebagai alat penunjang pemrograman.