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"ABSTRAKPenelitian embodied cognition menjelaskan emosi dalam interaksi interpersonal melalui peran suhu. Penelitian ini bertujuan untuk menguji bagaimana pengaruh pengalaman sensorik tubuh akan suhu dingin terhadap regulasi emosi, ketika individu merasakan emosi negatif.Studi eksperimen dilakukan dengan menggunakan manipulasi sensorik suhu dingin atau hangat dan induksi emosi agresif atau netral dalam bentuk non-situated cognition. Hasil penelitian menunjukkan bahwa ketika tubuh mengalami sensorik dingin dan mendapatkan induksi emosi agresif, mampu meningkatkan durasi respon dan lebih rendah merasakan marah, dibandingkan saat tubuh mengalami suhu hangat. Hasil penelitian ini membuktikan bahwa pegalaman fisik terhadap suhu dingin mengaktifkan konsep regulasi emosi.

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ABSTRACTEmbodied cognition research was aimed to test whether bodily sensoric of coldness influenced to emotional regulation process, particularly when the negative emotional state was applied to participant. This experimental study was applied temperature sensory manipulation cold versus warm with two different emotional induction anger versus neutral in a form of non situated cognition.The study was indicating that compared to a warm temperature, a cold sensory experience, which in the same time a negative emotional was inducted, significantly increased the response duration and reduced the intention of anger. The research findings demonstrated that bodily experience of coldness exposure activates the emotional regulation process."

"Sensory perception: mind and matter aims at a deeper understanding of the many facets of sensory perception and their relations to brain function and cognition. It is an attempt to promote the interdisciplinary discourse between the neurosciences and psychology, which speaks the language of cognitive experiences, and philosophy, which has been thinking about the meaning and origin of consciousness since its beginning. Leading experts contribute to such a discourse by informing the reader about exciting modern developments, both technical and conceptual, and by pointing to the big gaps still to be bridged. The various chapters provide access to scientific research on sensory perception and the mind from a broad perspective, covering a large spectrum of topics which range from the molecular mechanisms at work in sensory cells to the study of the unconscious and to neurophilosophy."

"Penelitian ini bertujuan untuk melihat pengaruh kemampuan regulasi emosi terhadap masalah mental emosional pada mahasiswa tahun pertama Universitas Indonesia. Desain penelitian yang digunakan adalah non-eksperimental dan cross-sectional. Partisipan (N = 255) merupakan mahasiswa Universitas Indonesia angkatan 2019 yang berusia 17-21 (M = 18,29, SD = 0,743) dan sebagian besar perempaun (n = 147). Kemampuan regulasi emosi mahasiswa diukur menggunakan alat ukur DERS, sementara masalah mental emosional mahasiswa diukur menggunakan alat ukur SRQ-20. Hasil analisis menggunakan logistic regression menunjukkan bahwa kemampuan regulasi emosi secara signifikan memengaruhi masalah mental emosional mahasiswa berdasarkan kriteria Wald test, χ2 (1, N = 255) = 51,435, OR = 1,098, p < 0,001. Penurunan kemampuan regulasi emosi meningkatkan kemungkinan mengalami masalah mental emosional sebanyak 1,1 kali lebih besar. Sementara itu, jenis kelamin sebagai variabel kontrol juga secara signifikan memengaruhi masalah mental emosional mahasiswa, χ2 (1, N = 255) = 4,665, OR = 1,922, p < 0,05. Perempuan memiliki kemungkinan yang lebih besar untuk mengalami masalah mental emosional sebanyak 2 kali lebih besar dari laki-laki.

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This study aims to look at the effect of emotion regulation ability on mental-emotional problems in first-year students at University Indonesia. Non-experimental and crosssectional research design were used. Participants (N = 255) were Universitas Indonesia students from class 2019 aged between 17-21 (M = 18.29, SD = 0.743) and mostly women (n = 147). The emotional regulation ability was measured using the Difficulties in Emotion Regulation Scale (DERS), while the students' mental-emotional problems were measured using the SRQ-20. Results of the logistic regression showed that emotion regulation ability significantly influenced students' mental-emotional problems based on the Wald test criterion, χ2 (1, N = 255) = 51.435, OR = 1.098, p <0.001. Decreased emotional regulation ability increases the likelihood of experiencing mentalemotional problems by as much as 1.1 times greater. Moreover, gender as a control variable also significantly influenced students' mental-emotional problems, χ2 (1, N = 255) = 4.665, OR = 1.922, p <0.05. Women had a higher risk of experiencing mentalemotional problems than men."

"Emosi atau perasaan manusia adalah salah satu faktor yang tidak dapat dikendalikan dalam aktivitas apapun. Tidak sedikit juga pekerjaan yang seringkali berkaitan dengan emosi manusia terutama di industri hiburan dan juga kesehatan. Oleh karena itu, 1 dekade kebelakang banyak riset yang dilakukan untuk mempelajari emosi manusia secara langsung maupun menggunakan teknologi. Pengembangan model speech emotion recognition berbahasa Indonesia masih sangat sedikit dan oleh karena itu dibutuhkan perbandingan secara spesifik pada penelitian ini diantara dua model classifier yaitu Convolutional Neural Network (CNN) dan juga Multilayer Perceptron (MLP) untuk menentukan model yang menghasilkan akurasi terbaik dalam memprediksi emosi dari suara manusia. Dalam speech recognition secara umum, salah satu faktor penting dalam mendapatkan model dengan akurasi terbaik adalah metode ekstraksi fiturnya. Oleh karena itu, penelitian ini menggunakan 3 fitur untuk melakukan pelatihan terhadap model yaitu Mel-frequency Cepstral Coefficients (MFCC), Mel-Spectrogram dan chroma. Dari 3 fitur ini, divariasikan dan menghasilkan 7 metode ekstraksi yang berbeda untuk digunakan sebagai input pelatihan model. Terakhir, untuk memastikan bahwa model sudah menggunakan parameter terbaik, dilakukan eksperimen dengan membandingkan model yang menggunakan batch size serta activation function yang berbeda. Ditemukan bahwa dengan menggunakan CNN dan fitur gabungan antara MFCC, mel-spectrogram dan juga chroma menghasilkan model dengan skor akurasi 50.6% sedangkan menggunakan MLP dengan fitur yang sama menghasilkan model dengan skor akurasi 58.47%.

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Emotions or human feelings are one of the factors that cannot be controlled in any activity. There are also many jobs that are often related to human emotions, especially in the entertainment and health industries. The development of speech emotion recognition models in Indonesian is still very little and therefore a specific comparison is needed in this study between two classifier models, namely Convolutional Neural Network (CNN) and Multilayer Perceptron (MLP) to determine the model that produces the best accuracy in predicting the emotion of the human voice.

In speech recognition in general, one of the important factors in acquiring a model with the best accuracy is the feature extraction method. Therefore, this study uses 3 features to train the model, namely Mel-frequency Cepstral Coefficients (MFCC), Mel-Spectrogram and chroma. From these 3 features, they were varied and resulted in 7 different extraction methods to be used as model training inputs.

Finally, to ensure that the model has used the best parameters, an experiment was conducted by comparing models using different batch sizes and activation functions. It was found that using CNN and the combined features of MFCC, mel-spectrogram and also chroma resulted in a model with an accuracy score of 50.6% while using MLP with the same features resulted in a model with an accuracy score of 58.47%."

"Penelitian ini bertujuan untuk mengetahui apakah kelekatan dengan ibu dapat memengaruhi regulasi emosi marah pada remaja. Remaja yang dimaksud dalam penelitian ini adalah remaja laki-laki dan perempuan yang berada pada rentang usia 16-21 tahun dan berdomisili di sekitar daerah Jabodetabek. Selain itu juga penting untuk diperhatikan bahwa remaja yang menjadi partisipan juga memiliki sosok ibu atau caregiver sebagai figur kelekatan. Alat ukur kelekatan dengan ibu yang digunakan adalah Mother Attachment Sub-Scale dari Inventory of Parent and Peer Attachment Revisited (IPPA-R) yang diciptakan oleh Armsden dan Greenberg (2009) dan diadaptasi pada penelitian sebelumnya oleh Annisa Binarti (2012). Sedangkan alat ukur regulasi emosi marah yang digunakan pada penelitian ini adalah Anger Management Scale Short Forms Version (AMS-20) yang dibuat oleh Stith dan Hamby (2002). Dengan menggunakan partisipan sebanyak 287 remaja, hasil penelitian ini menunjukkan bahwa terdapat pengaruh positif yang signifikan antara kelekatan dengan ibu dan regulasi emosi marah pada remaja (R2 = .046, F = 6.138, p < .01). Artinya, semakin tinggi skor kelekatan dengan ibu pada remaja, maka semakin tinggi pengaruhnya terhadap regulasi emosi marah. Selain itu, ditemukan juga bahwa dimensi alienation memberikan pengaruh yang paling besar terhadap regulasi emosi marah.

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This study aimed to find out whether maternal attachment effects anger regulation in adolescents. Adolescents in this study were referred to them who are in the age of 16-21 years old and live around the Jabodetabek area. It was also important to note that adolescents who become participants also have mother(s) or caregiver(s) as the attachment figures. The instrument used to measure the maternal attachment in this study was Mother Attachment Sub-Scale of the Inventory of Parent and Peer Attachment Revisited (IPPA-R) created by Armsden and Greenberg (2009) that has already been adapted in the previous study by Annisa Binarti (2012). Meanwhile, the instrument used to measure anger regulation in this study was Anger Management Scale Short Forms Version (AMS-20) created by Stith and Hamby (2002). By using a total of 287 adolescent participants, the results of this study indicated that there is a significant positive effect of maternal attachment towards anger regulation in adolescents (R2 = .046, F = 6.138, p < .01). That is, the higher the maternal attachment?s score, the more effect it gives to anger regulation. In addition, this study also found that alienation gives the most effect towards anger regulation"

"Latar Belakang: Salah satu domain kognisi sosial yang mengalami defisit pada pasien Skizofrenia adalah rekognisi emosi. Defisit rekognisi emosi negatif, seperti defisit emosi takut, marah, dan sedih sudah ada pada episode pertama Skizofrenia. Musik sebagai terapi diketahui bermanfaat bagi perbaikan emosi, juga terkait pengalaman emosi pasien dengan Skizofrenia. Penelitian ini akan menilai validitas dan efektivitas sebuah modul terapi musik “rekognisi emosi dalam perbaikan rekognisi berbagai emosi dasar pada pasien dengan skizofrenia. Metode: Penelitian Dilakukan dalam 2 tahap, yaitu tahap I berupa pembuatan modul terapi musik oleh peneliti dan uji validitas isi modul oleh 5 orang ahli musik dan 3 psikiater untuk dinilai I-CVI, S-CVI dan CVR. Tahap II berupa pelaksanaan modul terapi musik. Penelitian berupa studi kuasi eksperimental kepada 15 subjek pasien skizofrenia remisi yang mengikuti terapi musik sebanyak 10 sesi dari bulan Maret 2020 hingga Juli 2020. Subjek dinilai hasil pra dan pasca uji terapi musik untuk melihat perbaikan pengenalan 5 emosi dasar (senang, sedih, marah, takut, tenang) menggunakan uji statistik Mcnemar. Dilakukan juga uji reliabilitas inter-rater untuk pelaksanaan modul.Hasil: Hasil uji validitas modul terapi musik rekognisi emosi menunjukkan nilai mean I-CVI sebesar 0,98, S-CVI sebesar 0,95, dan CVR 0,97. Pada uji efektivitas modul terapi musik, terdapat perbaikan bermakna dari defisit emosi takut dan marah, dengan peningkatan skor uji pra dan pasca terapi musik dengan nilai p-value < 0.05 pada kategori emosi marah dan takut, namun tidak bermakna pada kategori emosi senang,sedih, dan takut (p-value >0.05) Didapatkan 2 dari 15 subjek drop out. Pada uji reliabilitas inter-rater secara kualitatif, didapatkan keandalan dari modul terapi musik rekognisi emosi dengan aktivitas setiap sesi lebih dari 80% yang sesuai dengan isi modul. Simpulan: Modul terapi musik rekognisi emosi memiliki validitas isi, reliabilitas, dan juga efektivitas pada rekognisi emosi beberapa emosi dasar pasien skizofrenia remisi terutama rekognisi emosi takut dan marah.

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Background: One of the deficit domains of social cognition in schizophrenia patients is emotional recognition. Negative emotional recognition deficits, such as emotional deficits of fear, anger, and sadness already exist in the first episode of schizophrenia. Music as therapy is known to be beneficial for emotional improvement, as well as the emotional experience of patients with schizophrenia. This study will assess the validity and effectiveness of a music therapy module “emotion recognition in improving recognition of basic emotions in patients with schizophrenia.

Methods: The research was conducted in 2 steps, namely step I in the form of creating a music therapy module by the researcher and music therapist and testing the validity of the module content by 5 music experts and 3 psychiatrists to assess I-CVI, S-CVI, and CVR. Step II in the form of implementing the music therapy module. Research in the form of a quasi-experimental study on 15 subjects of schizophrenic remission patients who attended music therapy for 10 sessions from March 2020 to July 2020. Subjects were assessed pre and post music therapy test results to see improvements in recognition of 5 basic emotions (happy, sad, angry, afraid, calm) using the Mcnemar statistical test. Inter-rater reliability tests were also carried out for module implementation.

Results: The results of the validity test of the emotion recognition music therapy module showed a mean I-CVI of 0.98, S-CVI of 0.95, and CVR of 0.97. In the music therapy module effectiveness test, there was a significant improvement in the emotional deficits of fear and anger, with an increase in the pre and post music therapy test scores with a p-value <0.05 in the anger and fear categories, but not significant in the happy, sad, and happy emotions. and fear (p-value> 0.05) Obtained 2 out of 15 subjects dropped out. In the qualitative inter-rater reliability test, the improvement of the emotion recognition music therapy module with the activity of each session was more than 80% according to the module content.

Conclusion: Emotion recognition music therapy module has content validity, reliability, and effectiveness in emotional recognition of some of the basic emotions of remission schizophrenia patients, especially the emotion recognition of fear and anger."

"Penelitian ini menangani masalah pengenalan emosi dalam percakapan berbahasa Indonesia, yang penting untuk aplikasi seperti pengenalan ucapan, interaksi manusiamesin, dan analisis sentimen. Untuk mengatasi kompleksitas data suara dan teks, penelitian ini menggabungkan Word Embedding (Word2Vec) dan spektrum suara (MFCC) menggunakan Convolutional Neural Network (CNN). Word2Vec mengubah dataset suara menjadi representasi teks vektor, sementara MFCC digunakan untuk ekstraksi fitur dari spektrum suara. Model yang dikembangkan dievaluasi dengan dataset percobaan berbahasa Indonesia, dan pendekatan Weighted Average Ensemble yang mengintegrasikan kedua metode ini mencapai akurasi 70%. Hasil ini menunjukkan bahwa integrasi teknologi Word Embedding dan analisis spektrum suara dapat meningkatkan akurasi pengenalan emosi dalam bahasa Indonesia. Penelitian ini berkontribusi signifikan terhadap teknologi pengenalan emosi dan berpotensi meningkatkan interaksi manusia dengan teknologi serta aplikasi dalam analisis sentimen dan pengolahan bahasa alami.

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This research addresses the issue of emotion recognition in Indonesian language conversations, which is crucial for applications such as speech recognition, humanmachine interaction, and sentiment analysis. To tackle the complexity of voice and text data, this study combines Word Embedding (Word2Vec) and sound spectrum analysis (MFCC) using Convolutional Neural Network (CNN). Word2Vec is used to convert voice datasets into vector text representations, while MFCC is employed for feature extraction from the sound spectrum. The developed models were evaluated using an experimental dataset in Indonesian, and the Weighted Average Ensemble approach, which integrates both methods, achieved an accuracy of 70%. These results indicate that integrating Word Embedding technology and sound spectrum analysis can significantly enhance the accuracy of emotion recognition in Indonesian conversations. This research contributes significantly to the development of emotion recognition technology and has the potential to improve human interaction with technology, as well as applications in sentiment analysis and natural language processing."

"This book defines the terminology used in the fields of sensation and perception and describes the biological and physical bases required for understanding sensory experiences. It offers more specifically an introduction to the study of psychophysics, auditory perception, visual perception, and attention, and discusses the basic concepts and mechanisms used to interpret different perceptual phenomena.Featured topics in this book:- Laws of psychophysics, including the discrimination law of Weber and Stevens power law.- Psychophysical methods and signal detection theory.- Hearing music and speech.- Color, form and depth perception- The role of attention in perception. - Sensory disorders."

"The aim of this volume is to provide a picture, as complete as possible, of the current state of knowledge of sensory systems in nature. The presentation in this book lies at the intersection of evolutionary biology, cell and molecular biology, physiology and genetics"