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All Journal International Journal of Public Health Science (IJPHS) Jurnal Kedokteran Brawijaya Jurnal Penelitian Pendidikan IPA (JPPIPA) CARADDE: Jurnal Pengabdian Kepada Masyarakat Poltekita : Jurnal Ilmu Kesehatan JPP Jurnal Kesehatan Poltekkes Palembang Jurnal 'Aisyiyah Medika Journal of Telenursing (JOTING) Science Midwifery Berajah Journal International Journal of Advanced Health Science and Technology Publikasi Ilmiah Bidang Pengabdian Kepada Masyarakat (SIKEMAS) International Journal of Scientific and Professional Jurnal Ilmu Psikologi dan Kesehatan Sahabat Sosial: Jurnal Pengabdian Masyarakat Journal of Advance in Language, Literature, and Education
Yunike, Yunike
Politeknik Kesehatan Palembang
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TERAPI MUSIK UNTUK MENGONTROL HALUSINASI PENDENGARAN Muliya; Kusumawaty, Ira; Martini, Sri; Yunike
Jurnal Ilmu Psikologi dan Kesehatan (SIKONTAN) Vol. 1 No. 1 (2022): Jurnal Ilmu Psikologi dan Kesehatan
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.734 KB) | DOI: 10.47353/sikontan.v1i1.357

Abstract

Kompleksitas permasalahan halusinasi pendengaran mengakibatkan ketidakmampuan pasien dalam mengendalikan diri bahkan hingga bunuh diri. Musik dapat menjadi media terapi modalitas yang dapat membantu memulihkan kemampuan hubungan sosial, kepercayaan diri, penurunan konsentrasi, harga diri, dan menurunkan frekuensi halusinasi. Namun penelitian yang mengeksplorasi penerapan terapi musik masih sangat terbatas, padahal terapi ini mampu membantu pasien menjembatani membentuk mekanisme mengontrol diri. Tujuan penelitian ini untuk menilai kemampuan mengontrol halusinasi pendengaran pada pasien dengan skizoprenia yang dirawat di rumah sakit menggunakan terapi music. Penelitian study kasus dengan pendekatan asuhan keperawatan jiwa ini melibatkan pasien halusinasi pendengaran yang mendapatkan terapi musik selama tujuh hari. Peneliti mengobservasi dan mewawancarai kemampuan mengontrol halusinasi pendengaran dan perasaan pasien setelah diberikan terapi.
Enhancing Student Anxiety Detection: A Multimodal Transformer Approach to Video-Based Screening Yunike; Kunang, Yesi Novaria; Muzakir, Ari; Kusumawaty, Ira
International Journal Scientific and Professional Vol. 5 No. 1 (2026): December 2025 - February 2026
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v5i1.158

Abstract

This study developed and applied a multimodal Transformer model for student anxiety screening through video analysis of short interviews that included facial expressions, speech, and numerical data. Student anxiety is a problem that often affects mental health and academic performance, so early detection is important. The model combines three main data sources: facial expression features, speech analysis (including speech speed, intonation, and negative word count), and demographic information. The data used came from 500 students who participated in interviews lasting 20-40 seconds. The multimodal Transformer model was trained to classify anxiety levels into low, medium, and high categories, with evaluation using accuracy, precision, and recall metrics. The results showed that this model had a prediction accuracy of 88%, with a significant correlation between facial expressions and negative word counts on anxiety levels. Compared to the linear regression model used for comparison, the multimodal Transformer model shows better performance in detecting anxiety. These findings indicate that a multimodal approach using AI technology can improve accuracy and efficiency in student anxiety screening. This research opens up opportunities for the development of a more objective, non-invasive, and efficient video-based automated screening system, with potential applications in the field of mental health in higher education.
Exploring Technology Needs to Improve Mental Health Service Coordination Jatnika, Ihsan; Kusumawaty, Ira; Yunike, Yunike; Indarti, Dina; Nugraha, Mara
International Journal Scientific and Professional Vol. 5 No. 1 (2026): December 2025 - February 2026
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v5i1.164

Abstract

Mental health services in Indonesia face significant challenges in coordination between agencies, including mental hospitals, community health centers (Puskesmas), and private institutions. Lack of data integration, limited communication, and low technology utilization hinder service effectiveness. This study aims to explore the need for technology to improve mental health service coordination and identify solutions that can address these challenges. Using a qualitative descriptive approach, the study involved healthcare workers from mental hospitals, community health centers, and private institutions in the provinces of South Sumatra, Lampung, and Jakarta. The results indicate that the implementation of a technology-based integrated information system, telemedicine applications, and intensive training for healthcare workers are key desired solutions. Furthermore, improving inter-agency communication and providing adequate technological infrastructure are also considered important. These findings align with health information systems theory and technology accessibility theory, which suggest that technology can improve coordination and access to services. Despite limitations in terms of sample size and perspective, this study provides important insights into the application of technology in mental health services in Indonesia and suggests solutions to improve the effectiveness of coordination within the mental health service system.
Co-Authors Agustin, Ismar Amin, Maliha Anindita, Angie Aprilyadi, Nadi Ari Muzakir Astuti, Ratnaningsih Dewi Biladiah, Imadatul Dina Indarti Eka Harsanto, D Elfrida, Solha Elfrida, Sotha Fadly Famela, Famela febriyanti, dita Febrizan, Febrizan Harsanto, Eka Ihsan Jatnika Inastyarikusuma, Tarrinni Jawiah Jawiah Jawiah Jawiah, Jawiah Kiki Sulaningsi Lela Harmiyati, Lela Lisdahayati, Lisdahayati M, Monalisa Margaretha Maria Shinta Pratiwi Masyudi Masyudi Misinem, Misinem Muliya Nabilah, Putri Nasution, Annio Indah Lestari Ni Ketut Sujati Nugraha, Mara Octa Labina, Fenni Podojoyo, Podojoyo Putri Mayana, Namira Gustiany Rahmayani, Dian Rehana Rehana Rehana, Rehana Rustiati, Nelly Sri Ananingsih, Esti Sri Endriyani Sri Endriyani, Sri Sri Martini Sri Martini Susmini, Susmini Syeftiana Tata Sutabri Tri Basuki Kurniawan Tri Utami, Pegi Winta, Mulya Virgonita Iswindari Yesi Novaria Kunang ZURAIDAH ZURAIDAH