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All Journal WACANA Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health
Dewi Eko Wati
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Arts Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Pendidikan Seks Dalam Islam Berbasis Komunikasi Orangtua-Anak: Langkah Pencegahan LGBT Pada Anak Dewi Eko Wati
Wacana Vol 12, No 2 (2020)
Publisher : UNS Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/wacana.v12i2.173

Abstract

AbstrakPembahasan artikel ini dibatasi pada LGBT ditinjau dari sisi psikologi dan agama. Tujuan penulisan artikel ini untuk memberikan wawasan khususnya kepada orangtua mengenai pentingnya hubungan yang hangat dan harmonis antara orangtua dan anak sebagai upaya pencegahan LGBT melalui penanaman pendidikan seks pada anak dalam tinjauan agama Islam. Metode yang digunakan ialah kajian literatur. Dari tinjauan agama, Majelis Ulama Indonesia (MUI) mengharamkan perilaku LGBT karena merupakan kejahatan yang dapat menimbulkan penyakit yang berbahaya bagi kesehatan seperti sifilis, hepatitis B, dan HIV/AIDS. Dari tinjauan psikologi, LGBT bisa mengganggu kesejahteraan psikologis seseorang. Oleh karena itu, upaya pencegahan perlu dilakukan sejak dini dimulai dari keluarga yaitu orangtua melalui pendidikan seks yang tepat. Penanaman pendidikan seks terhadap anak harus dilakukan dalam hubungan orangtua dan anak yang hangat dan harmonis agar anak mampu menerimanya dengan baik. Komunikasi orangtua-anak yang didasarkan pada kepercayaan dan keterbukaan menjadi kunci dalam melakukan pendidikan seks yang nyaman bagi anak.Kata kunci: pendidikan seks, komunikasi, orangtua-anak, LGBT
VALIDATION OF PARENTAL COMMUNICATION TYPE SCALE FOR ABUSIVE PARENT Dewi Eko Wati; Riana Mashar
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 1 No. 1 (2021): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v1i1.36

Abstract

Effective communication becomes an important part in developing a child’s character and to prevent the violence of parents towards children. This research aims to develop a communication instrument of parents towards children. There are two communication aspects, which are the opened communication aspect and the closed communication aspect. There are two stages in developing this instrument: first, an introductory study stage to determine the prototype instrument and the second, expert validation examination stage and field examination. Based on the expert analysis results, the instrument has passed the construct validity and it is declared as fit for use. The results of the field examination show that from 34 items, 24 are declared as valid, with the validity value of ≥0.3 and they are reliable as the r value= 0.84≥0.7. From the expert analysis and the field examination, it is concluded that the instrument is fit for research use.
Recognizing Micro Expression Pattern Using Convolutional Neural Networks (CNN) Method During Emotion Regulation Training for Parents in The Pandemic Era Intan Puspitasari; Anton Yudhana; Dewi Eko Wati; Syahid Al Irfan
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 3 No. 2 (2023): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v3i2.68

Abstract

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.
VALIDATION OF PARENTAL COMMUNICATION TYPE SCALE FOR ABUSIVE PARENT Dewi Eko Wati; Riana Mashar
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 1 No. 1 (2021): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v1i1.36

Abstract

Effective communication becomes an important part in developing a child’s character and to prevent the violence of parents towards children. This research aims to develop a communication instrument of parents towards children. There are two communication aspects, which are the opened communication aspect and the closed communication aspect. There are two stages in developing this instrument: first, an introductory study stage to determine the prototype instrument and the second, expert validation examination stage and field examination. Based on the expert analysis results, the instrument has passed the construct validity and it is declared as fit for use. The results of the field examination show that from 34 items, 24 are declared as valid, with the validity value of ≥0.3 and they are reliable as the r value= 0.84≥0.7. From the expert analysis and the field examination, it is concluded that the instrument is fit for research use.
Recognizing Micro Expression Pattern Using Convolutional Neural Networks (CNN) Method During Emotion Regulation Training for Parents in The Pandemic Era Intan Puspitasari; Anton Yudhana; Dewi Eko Wati; Syahid Al Irfan
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 3 No. 2 (2023): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v3i2.68

Abstract

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.
Co-Authors Anton Yudhana Intan Puspitasari Riana Mashar Syahid Al Irfan