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Potential biases within automated video interview assessment algorithms may disadvantage specific demographics due to the collection of sensitive attributes, which are regulated by the General Data Protection Regulation (GDPR). To mitigate these fairness concerns, this research introduces MAG-BERT-ARL, an automated video interview assessment system that eliminates reliance on sensitive attributes. MAG-BERT-ARL integrates Multimodal Adaptation Gate and Bidirectional Encoder Representations from Transformers (MAG-BERT) model with the Adversarially Reweighted Learning (ARL). This integration aims to improve the performance of underrepresented groups by promoting Rawlsian Max-Min Fairness. Through experiments on the Educational Testing Service (ETS) and First Impressions (FI) datasets, the proposed method demonstrates its effectiveness in optimizing model performance (increasing Pearson correlation coefficient up to 0.17 in the FI dataset and precision up to 0.39 in the ETS dataset) and fairness (reducing equal accuracy up to 0.11 in the ETS dataset). The findings underscore the significance of integrating fairness-enhancing techniques like ARL and highlight the impact of incorporating nonverbal cues on hiring decisions.

Deep neural network based text-to-speech (TTS) technology has brought advances in speech synthesis approaching the quality of human speech sounds. Zero-shot voice cloning TTS is a system that accepts input in the form of text and a few seconds of a sample of the target speaker’s voice to produce speech sound waves similar to the target speaker’s voice. Some of the latest zero-shot voice cloning TTS studies still focuses on normal human voices. However, this technology still has limitations for individuals with speech disorders such as dysphonia. We observe that our baseline zero-shot TTS model applied to the dysphonia domain still has poor performance on the following aspects: speaker similarity, intelligibility or clarity of speech, and speech sound quality. This research develops 24 zero-shot voice cloning TTS models to observe which models can improve the baseline model performance on the dysphonia domain. We propose four categories to change the baseline model architecture and setting: input-level text sequences (grapheme, phoneme, or combination of grapheme-phoneme), speaker embedding type (speaker encoder or speaker model), speaker embedding position (at TTS encoder of at TTS encoder and decoder), and loss function (without or with speaker consistency loss). The experimental results show that the best model is the one uses the following configuration settings: a combination of grapheme-phoneme-level text sequences, speaker model as the speaker embedding, placing the speaker embedding at the TTS encoder only, and adding speaker consistency loss to the frame-level speech loss. Compared to the baseline model, our proposed best model is able to improve speaker cosine similarity (COS), speech intelligibility (CER), and speech sound quality (MOS) performance in the domain of dysphonia speech disorders by 0.197, 0.55%, and 0.244, respectively. When compared with the original voice of dysphonia disorder speakers, the best model also increases the speech intelligibility and quality of the speech sounds by 13.45% and 0.22, respectively.

Bullying merupakan perilaku yang bertentangan dengan norma agama. Meskipun bertentangan dan dilarang, masih saja terjadi bullying pada anak, baik itu di sekolah dan lingkungan masyarakat. Perilaku ini muncul dan terjadi sampai pada bully fisik yang mengakibatkan kematian. Berbagai masalah traumatik bisa memunculkan masalah-masalah lain yang mengakibatkan suburnya lingkaran perilaku bullying dalam diri pribadi anak dan lingkungan sekitarnya. Maraknya masalah ini tentu saja perlu menjadi perhatian dalam mencegah kekerasan yang terjadi pada anak. Penyuluhan agama kristen sebagai psikoedukasi di SMPTK Tarus penting dilaksanakan dengan tujuan mencegah perilaku bullying. Pada kegiatan ini tim memberikan materi tentang cegah bullying dengan prinsip Alkitab dan psikoedukasi, pembuatan kartu komitmen dan poster stop bullying. Hasil dari kegiatan ini direspon baik dengan antusias dari siswa. Adapun respon dari peserta didapat dari survey kegiatan pada tingkat pemahaman didapat sangat Baik mencapai 80%, pada survey kegiatan penyuluhan agama didapat 96%, sedangkan pada survey pemateri didapat 86%.

The paper aimed to present the spatio-temporal of NO2 Density Weighting during the period April 2022 – March 2023 (1 year) with weighting model in The Region of Malang, East Java Province, Indonesia. It is based on the remote sensing data of Sentinel-5p provided by ESA Copernicus Product. The data have been processed into the following indicators: low, small, and intermediate of NO2 density weighting. During the analysed period, low weight has continuously no constant, so that in the month of November 2022 there are mostly 3470.11 ha in Malang Region Area of which in this region part are raised about 95.83 %. Intermediate weight has significant reduction from 2926.96 ha in the month of July 2022 to 929.39 ha in the month of March 2023, therefore health plant increased considering the reduced area of NO2. As a conclusion, The Region of Malang is very closely developed commercial household, industrial processed, and energy production. Therefore, the Malang Region Government needs to be firm regarding the cultivation of protected areas such as green open space with various types of plant in it. In addition, the local government is also expected to always control industrial activities both on a factory and home scale.

This study aimed to evaluate the effect of nutmeg meal as a source of phenol on the abundance of dominant microbes in the biohydrogenation process and the fatty acid profile of goat rumen fluid in vitro. This study used a randomized complete block design with four treatments and three replicates of in vitro batches, each replicate in duplicate. The dietary treatments consisted of elephant grass (40%), soybean meal (10%), with varying proportion of wheat pollard, canola oil and nutmeg meal hence, treatment P0 (40:10:45:5:0); P1 (40:10:40:5:5); P2 (40:10:35:5:15); P3 (40:10:30:5:10). Fermentation using the in vitro gas production method described by Menke and Steinggas with an incubation period of 48 hours. Parameters observed included microbial abundance and fatty acid profile of goat rumen fluid. The statistical analysis showed that adding nutmeg meal starting at the 5% level decreased the abundance of the main biohydrogenation process bacteria anaerovibrio, butyrivibrio fibrisolvens, and pseudobutyrivibrio. Total saturated fatty acid and stearate fatty acid concentrations decreased (P

This study aims to determine how using an active learning model based on the three higher education principles can improve students' active learning. Qualitative research methods were applied in this study, with data collection through interviews, literature study, and observation. The results showed that active learning based on the three higher education principles was included in the "good" or "acceptable" category. The application of this model can make this campus a place with a positive academic atmosphere that enhances and supports collaboration, discussion, and positive and critical thinking. The novelty of this research lies in the use of active learning with mini-research projects, which are developed based on university principles and embody it. The hope is that this can help solve problems in the student learning process at the State Islamic University Sunan Kalijaga, Yogyakarta, Indonesia. The expected implication is that the university's policy supports applying the model to resolve learning problems and build real scientists for students.

Deep neural network (DNN)-based systems generally require large amounts of training data, so they have data scarcity problems in low-resource languages. Recent studies have succeeded in building zero-shot multi-speaker DNN-based TTS on high-resource languages, but they still have unsatisfactory performance on unseen speakers. This study addresses two main problems: overcoming the problem of data scarcity in the DNN-based TTS on low-resource languages and improving the performance of zero-shot speaker adaptation for unseen speakers. We propose a novel multi-stage transfer learning strategy using a partial network-based deep transfer learning to overcome the low-resource problem by utilizing pre-trained monolingual single-speaker TTS and d-vector speaker encoder on a high-resource language as the source domain. Meanwhile, to improve the performance of zero-shot speaker adaptation, we propose a new TTS model that incorporates an explicit style control from the target speaker for TTS conditioning and an utterance-level speaker reconstruction loss during TTS training. We use publicly available speech datasets for experiments. We show that our proposed training strategy is able to effectively train the TTS models using a limited amount of training data of low-resource target languages. The models trained using the proposed transfer learning successfully produce intelligible natural speech sounds, while in contrast using standard training fails to make the models synthesize understandable speech. We also demonstrate that our proposed style encoder network and speaker reconstruction loss significantly improves speaker similarity in zero-shot speaker adaptation task compared to the baseline model. Overall, our proposed TTS model and training strategy has succeeded in increasing the speaker cosine similarity of the synthesized speech on the unseen speakers test set by 0.468 and 0.279 in native and foreign languages respectively.

This study aims to analyze the effect of trust and ICT (information and communication technology) on supply chain collaboration with commitment as a moderating variable in the SMEs Screen Printing Yogyakarta City. The variables used in this study are trust, information and communication technology (ICT), commitment, and supply chain collaboration. The data used in this study are primary data. The data collection method used was a questionnaire. Hypothesis testing uses a sample of 48 SMEs in Yogyakarta City. The sampling technique used in this study is incidental sampling and data analysis techniques used is multiple regression analysis and moderated regression analysis. The results of this study indicate that trust has a positive effect on supply chain collaboration, ICT has a positive effect on supply chain collaboration, and commitment is able to strengthen the influence of trust on supply chain collaboration.

This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages. DNN-based system typically requires a large amount of training data. In recent years, while DNN-based TTS has made remarkable results for high-resource languages, it still suffers from a data scarcity problem for low-resource languages. In this article, we propose a multi-stage transfer learning strategy to train our TTS model for low-resource languages. We make use of a high-resource language and a joint multilingual dataset of low-resource languages. A pre-trained monolingual TTS on the high-resource language is fine-tuned on the low-resource language using the same model architecture. Then, we apply partial network-based transfer learning from the pre-trained monolingual TTS to a multilingual TTS and finally from the pre-trained multilingual TTS to a multilingual with style transfer TTS. Our experiment on Indonesian, Javanese, and Sundanese languages show adequate quality of synthesized speech. The evaluation of our multilingual TTS reaches a mean opinion score (MOS) of 4.35 for Indonesian (ground truth = 4.36). Whereas for Javanese and Sundanese it reaches a MOS of 4.20 (ground truth = 4.38) and 4.28 (ground truth = 4.20), respectively. For parallel style transfer evaluation, our TTS model reaches an F0 frame error (FFE) of 9.08%, 10.13%, and 8.43% for Indonesian, Javanese, and Sundanese, respectively. The results indicate that the proposed strategy can be effectively applied to the low-resource languages target domain. With a small amount of training data, our models are able to learn step by step from a smaller TTS network to larger networks, produce intelligible speech approaching the real human voice, and successfully transfer speaking style from a reference audio.

Compost is considered not only to improve soil nutrients but also as a carrier of microplastic (MPs) pollution on agricultural land. Bibliometric analysis is a quantitative review approach that employs statistics, data mining, and mathematics to identify new academic trends. It is increasingly more prevalent and is utilized in several academic disciplines. To evaluate the evolution and extension of this body of knowledge and to forecast its future path, the present study analyzed Scopus-indexed research publications on compost from 2018 to 2022. To perform the bibliometric analysis, the VOSviewer software and Scopus Analytics were used. A total of 111 journal articles (n = 77) and conference papers (n = 3) were extracted. The number of research documents published by 111 authors was steadily increasing annually. China is the leading country in the number of publications and research collaborations. The current results offset global scientific efforts on MPs contamination in compost and inform that there is potential for compost to be a carrier of MPs contaminants in plants.

Background: The first 1,000 days of life are the foundation for growth and development of children in the next period. Birth length may represent growth and development during the intrauterine life. This study aimed to explore the correlation of birth length, growth, and development in children. Methods: This was analytic observational study with a cross-sectional design. Total sampling was taken, obtaining 368 children aged 6−60 months in several Integrated Service Post (Pos Pelayanan Terpadu, Posyandu), conducted from October to November 2018. Data were gathered from the book of Maternal and Child Health (Kesehatan Ibu dan Anak, KIA), including birth length, body length/height, and nutritional status using weight-for-length/height index. Data were analyzed by Spearman and Eta test. Results: Birth length was not correlated with nutritional status (p=0.108, r=0.084), but had a good correlation with body length/height (p=0.027, r=0.115) and development based on the KIA book (F calculated > F table, Ƞ=0.245). Conclusions: There is a correlation between birth length and body length/height as well as a correlation between birth length and development based on the KIA book. It is important for the community and health workers to monitor growth and development of children, by maximizing the use of KIA book.

Understanding geomorphological characteristics must provide morphographic, morphometric,morphogenetic, and morphochronological information. This study aims to identify geomorphological characteristics in the Prambanan hills area compiled in the form of a geomorphological map. The research is based on maps, previous research reports, and field observations in the form of field checks on theelements studied. The geomorphological mapping system used is the ITC system. The main analysis in this research is spatial analysis in the form of overlapping spatial data. The relationship between landform units,lithology, and slopes is information that is analyzed descriptively. The results showed that on a map with a scale of 1: 30,000, 9 geomorphological units could be identified. The 9 geomorphological units are a combination of morphometry, genetics, and lithology. The combination consists of 2 landforms, namelytraditional and structural hills, and slopes; The lithology consists of 3 layers, namely the Lapili Formation of Semilir, Sand Formation of Kebo Butak, and Tuff Formation of Semilir. While the morphometry is in theform of slope units, namely 8-15%, 15-25%, 25-45%, and >45%. While the age based on lithology is Late Oligocene – Early Miocene in the Kebo Butak Formation and Early Miocene – Middle Miocene in theSemilir Formation.

One crucial skill to master by university students related to academic writing activity is paraphrasing skill. However, in Indonesian context, the university students still find paraphrasing challenging. Therefore, this study is intended to explore the use of read, reread, list, compose (RRLC) strategy to enhace the students' paraphrasing skill in a college context. This study utilizes a qualitative case study design where the data were obtained through observation. The study revealed that RRLC stages can be implemented in learning activity. It engaged the students in activating their prior knowledge, doing an independent reading, discussing, and sharing their understanding about the text before paraphrasing. It assisted them to have better comprehension of the text to be paraphrased. In addition, during the implementation of composing stage in guided practice, the students' paraphrased works indicated that the students were able to create sentences in different structures--active or passive constructions, use the synonyms, and retain the original meaning. These three skills helped them reduce the similiarity of their paraphrased works from the original version. This study recommends that RRLC strategy be implemented in teaching paraphrasing at college or lower level with some adjustments to meet the students' basic English skill.

Latar belakang. Kanker serviks merupakan keganasan terbanyak keempat pada wanita di dunia. Jumlah kasus baru setiap tahun di Indonesia sebanyak 20.928 dengan kematian 9498. Infeksi Human Papilloma Virus (HPV) risiko tinggi adalah penyebab utama kanker serviks. World Health Organization (WHO) dan Ikatan Dokter Anak Indonesia (IDAI) merekomendasikan vaksinasi HPV untuk wanita 9−14 tahun. Vaksin HPV mulai diberikan melalui bulan imunisasi anak sekolah (BIAS). Tujuan. Mengetahui kesediaan vaksinasi HPV dan hal-hal yang dipertimbangkan dalam menerima vaksinasi pada remaja putri di Yogyakarta. Metode. Penelitian cross-sectional dengan kuesioner anonim pada 319 remaja putri yang dipilih secara cluster random sampling pada September−Oktober 2016. Kriteria inklusi adalah pelajar putri sekolah menengah pertama (SMP) di kota Yogyakarta, bersedia mengikuti penelitian, mendapat persetujuan dari pihak sekolah dan orang tua. Lima dieksklusi karena data tidak lengkap. Hasil. Kesediaan mendapat vaksinasi sebesar 9,9%. Kehalalan dan keamanan vaksin adalah hal yang dipertimbangkan dalam pengambilan keputusan vaksinasi. Kesimpulan. Kesediaan mendapat vaksinasi HPV pada remaja putri masih rendah.

This study aims to describe a learning model of sociology education based on case studies of banking crimes for university students. Sociology learning is considered one of the most important studies for students at the Faculty of Social Sciences. That is why this study can examine the interactions and cases that occur from the perspective of the perpetrator and the victim. Thus, this study can be considered an interesting study to present learning as a form of case study in sociology lectures. Contextual learning is one of the correct learning models used as steps in learning. The study used a qualitative method employing a case study. Researchers used interviews, observations, and document analysis in the data collection process. The number of respondents of this study was 20, consisting of five lecturers and 15 students from the sociology department. The findings of the study revealed that contextual learning models can be an alternative in teaching sociology because this learning model can be used by presenting problems in daily life and problems related to banking crimes. In the end, the lecturers can conduct an evaluation, and the result is that the students can obtain and improve their abilities about banking crimes. Contextual learning can also foster student engagement where students actively give their opinions in class, and gain knowledge and curiosity when learning it.

The rapid growth of multimedia pedagogy in the education sector has brought about a game-based technological approach that is shaping the learning of children nowadays. The focus of the approach is to encourage active participation from children; the effect can be seen in their interaction, involvement, and engagement throughout the learning content. Active participation in a learning environment would have a substantial impact on children's self-development and academic achievement, particularly for those with learning disabilities (LD). Therefore, the purpose of this paper is to systematically analyze research conducted on Game-Based Learning (GBL) courseware to support the education of children with LD. A systematic literature review was undertaken, following the PRISMA framework for paper selection. A total of 109 articles were retrieved from the Scopus and Science Direct databases by using a specific keywords search. 14 articles were finalized at the end of the screening based on the inclusion and exclusion criteria. Results reveal the trend of publications, approaches used, and research themes of the selected papers, which include the courseware requirement, student adaptation, and impact of the implementation. The findings demonstrate that GBL is one of the effective methods to be applied in preschool education. It has a significant impact on the development of cognitive skills and assists children who have difficulty in reading, writing, and arithmetic. The findings in this paper can be used as a guide in developing GBL courseware that is developmentally appropriate and effective for children with LD.

The study was designed to determine the effect of a candidate natural feed additive on the kinetics of gas production as a representation of feed degradability and methane produced during rumen fermentation. Three blends of essential oil (BEO) as candidates for feed additives were formulated using pine and eucalyptus essential oils in the following ratios: 75:25, 50:50, and 25:75 for BEO1, BEO2, and BEO3, respectively. Every BEO was added to the batch fermentation system at dosages of 0, 100, and 200 l/l in the medium. Furthermore, an in vitro gas production technique was used to simulate rumen feed fermentation. According to the gas production kinetics, all BEO additives did not affect the total potential gas produced, as well as the potential gas produced from the soluble and insoluble substrate. The rates of gas production were similar among treatments. Furthermore, the addition of BEO did not affect the total volume of gas produced during fermentation. Meanwhile, BEO1 at 200 l/l dose and BEO 3 at 100 l/l dose significantly reduced methane production (P0.05). In conclusion, the BEO1 and BEO 3 at dosages of 200 and 100 l/l, respectively, had the potential as a feed additive to reduce methane production without a negative effect on nutrient digestibility.

Several studies have stressed the necessity of fostering students' creativity in the twenty-first -century learning process, particularly at the higher educational level. This study synthesized the characteristics (country, study population, and field of education/subject), methods, and theoretical ground used to foster students' creativity in higher education research. Using the PRISMA 2020 as a guideline for writing a systematic literature review, two databases (ProQuest and Scopus) were searched for peer-reviewed, primary, and empirical research published in English between January 1, 2018, and October 15, 2022. A final selection of 28 studies that met the eligibility criteria were examined. The result showed that most of the studies reviewed were conducted on undergraduate students in developed industrialized East Asian countries and used surveys as the primary data collection method. Moreover, the grounding theories used in fostering creativity in higher education research were still scarce. This study showed that further research is needed to examine the mechanism for developing student creativity in higher education with more diverse samples, rigorous methods, and theoretical grounding.

This study is aimed to analyze the readability level of the fourth grade textbooks in Javanese language used in Madiun, East Java, Indonesia then connect with student learning outcomes. The data were obtained from 18 students, comprising 6 male and 12 female students between 10 and 12 years old. The secondary data were obtained from textbooks and worksheets used in primary schools. The data were analyzed using the Fry's Graph and the Klose's technique to determine the readability level of the textbooks. The results of data analysis indicated that the Javanese language textbooks had a score of 9.075, meaning that the textbooks are too difficult for the fourth grade students. This results in students having difficulty absorbing the material, so that students' learning outcomes in Javanese are below the required standard. The success of learning the Javanese language depends on an appropriate level of readability.

This study aimed to evaluate structural models and measurement models of student satisfaction in online learning. This was a quantitative study using a survey research design. Structural model testing was done by examining the relationship between several variables. The variables in question were the learning management system (LMS), admin services, the performance of facilitator lecturers and student satisfaction in learning. The sample used in this study were 149 students. Data analysis was performed using the multivariate Structural Equation Modeling (SEM) technique. The findings of this study indicated that the facilitator lecturer performance is the variable that has the greatest effect in increasing student satisfaction in online learning. Admin service is another variable that has a positive effect on student satisfaction, both direct and indirect effects. The LMS variable does not show a direct effect on student satisfaction, but the LMS has an indirect effect on student satisfaction through the variable facilitator lecturer performance and admin services.