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All Journal IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature MetaCommunication; Journal Of Communication Studies Pendas : Jurnah Ilmiah Pendidikan Dasar English Language and Literature International Conference (ELLiC) Proceedings JUPE : Jurnal Pendidikan Mandala Journal of English Education ELITE Journal: Journal of English Linguistics, Literature, and Education Klasikal: Journal of Education, Language Teaching and Science Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi Sintuwu Maroso Journal of English Teaching Jurnal Pendidikan Dasar Perkhasa Jurnal Pendidikan dan Pengajaran (JPP) Journal of English Language and Education EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi STRATEGY : Jurnal Inovasi Strategi dan Model Pembelajaran Journal of Instructional and Development Researches Decode: Jurnal Pendidikan Teknologi Informasi LETS: Journal of Linguistics and English Teaching Studies Journal of Literate of English Education Study Program (JLe) Jurnal Pendidikan Sains dan Komputer Amaliah: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bhinneka Safari : Jurnal Pengabdian Masyarakat Indonesia Tamaddun Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Dharma Acariya Nusantara: Jurnal Pendidikan, Bahasa dan Budaya Jurnal Pengabdian Masyarakat dan Riset Pendidikan JLE: Journal of Literate of English Education Study Program JURNAL PENDIDIKAN BAHASA Jihapenmas Jurnal Pengabdian Masyarakat Mentari Contemporary Education and Community Engagement Axiology
Citra Prasiska Puspita Tohamba, Citra Prasiska Puspita
Universitas Muhammadiyah Kendari
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TEKNOLOGI EMOTION DETECTOR DALAM LAYANAN BIMBINGAN DAN KONSELING UNTUK MENDETEKSI KESEHATAN EMOSIONAL SISWA:STUDI LITERATUR Salam, Agung Surya; Safitri, Nur; Yoesanti, Adi; H, Nurhikmah; Hakim , Abdul; Tohamba, Citra Prasiska Puspita
EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi Vol. 5 No. 4 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/edutech.v5i4.7853

Abstract

Students' emotional health is a crucial factor in education as it directly influences academic achievement, social relationships, and overall psychological well-being. In the digital era, students face increasingly complex challenges such as academic stress, cyberbullying, and social isolation. These conditions demand innovation in guidance and counseling (GC) services to detect and address emotional issues early. One proposed solution is the application of emotion detector technology, an artificial intelligence (AI)-based system capable of analyzing facial expressions, voice intonation, and behavioral patterns to identify emotional states such as anxiety, stress, and depression, with an accuracy rate of 70–90%. This article employs a literature review method, analyzing national and international publications from 2015 to 2023 obtained through databases such as Google Scholar, Scopus, and PubMed. The review results indicate that integrating emotion detector technology can enhance the effectiveness of GC services through early intervention, personalized support, and a reduction in mental health stigma in schools. However, several challenges remain, including data privacy protection, accuracy across diverse cultural contexts, and limited technological infrastructure in Indonesian schools. Therefore, further research is needed to examine the effectiveness of this technology in local contexts. Through such efforts, education can become more adaptive and responsive to students’ emotional needs, ultimately supporting the holistic development of the younger generation. ABSTRAKKesehatan emosional siswa merupakan faktor penting dalam dunia pendidikan karena berpengaruh langsung terhadap prestasi akademik, hubungan sosial, serta kesejahteraan psikologis secara menyeluruh. Di era digital, siswa menghadapi tantangan yang semakin kompleks seperti stres akademis, cyberbullying, dan isolasi sosial. Kondisi ini menuntut adanya inovasi dalam layanan bimbingan dan konseling (BK) agar mampu mendeteksi dan menangani permasalahan emosional sejak dini. Salah satu solusi yang dikaji adalah penerapan teknologi emotion detector, yaitu teknologi berbasis kecerdasan buatan (AI) yang dapat menganalisis ekspresi wajah, intonasi suara, dan pola perilaku untuk mengidentifikasi kondisi emosional siswa, seperti kecemasan, stres, dan depresi, dengan tingkat akurasi mencapai 70–90%. Artikel ini menggunakan metode studi literatur dengan meninjau berbagai publikasi nasional dan internasional dari tahun 2015 hingga 2023 yang bersumber dari Google Scholar, Scopus, dan PubMed. Hasil kajian menunjukkan bahwa integrasi teknologi emotion detector dapat meningkatkan efektivitas layanan BK melalui intervensi dini, pemberian dukungan yang lebih personal, serta mengurangi stigma terhadap kesehatan mental di sekolah. Meski demikian, terdapat sejumlah tantangan seperti perlindungan privasi data, keakuratan dalam konteks budaya yang beragam, serta keterbatasan sarana teknologi di sekolah-sekolah Indonesia. Oleh karena itu, penelitian lebih lanjut perlu dilakukan untuk menguji efektivitas penerapan teknologi ini dalam konteks lokal. Dengan langkah tersebut, dunia pendidikan diharapkan menjadi lebih adaptif dan responsif terhadap kebutuhan emosional siswa guna mendukung perkembangan holistik generasi muda.
Utilization of Chatbot AI to Improve the Accessibility and Effectiveness of Guidance and Counseling Services in the Digital Era: A Literature Review Hesti, Ikma; Yunizahrani, Auliya; Saskia, Cintia; Tohamba, Citra Prasiska Puspita; Nurhikma, Nurhikma
JUPE : Jurnal Pendidikan Mandala Vol 10, No 4 (2025): JUPE : Jurnal Pendidikan Mandala (Desember)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jupe.v10i4.9681

Abstract

Guidance and counseling (GC) services across educational, public health, and industrial contexts face core challenges: limited professional workforce, geographical barriers, and stigma that impede user access. This systematic literature review analyzes the potential of AI chatbots as a supportive solution for GC services in the digital era. Data were collected from 32 scientific journals (2018–2025) and practical reports, then analyzed using a thematic approach. The findings reveal that AI chatbots improve service accessibility through three key avenues: (1) 24/7 availability without location restrictions, (2) up to 40% reduction in operational costs for service providers, and (3) stigma mitigation via anonymous interactions. Additionally, chatbots equipped with natural language processing (NLP) algorithms and psychological data training enhance service effectiveness by delivering initial mental health symptom screening (78% accuracy based on a case study in Indonesian secondary schools), simple coping guidance, and referrals to professionals when necessary. However, the study identifies critical challenges: the risk of misinterpreting emotional context, limitations in addressing complex cases (such as severe depression), and user data privacy concerns. Based on these results, the study recommends a collaborative model between AI chatbots and GC professionals, as well as the implementation of strict data regulations to ensure service safety and relevance. This review concludes that AI chatbots are valuable supportive tools for expanding the reach of GC services but cannot replace the human role in addressing complex emotional needs.
Meningkatkan Kesadaran akan Pentingnya Pendidikan dalam Membangun Masa Depan Melalui Webinar Edukasi Tohamba, Citra Prasiska Puspita; Safitri Nuraini; Nanda Refana Magdalena; Musdalifah; Hardianti
Jurnal Hilirisasi Pengabdian Masyarakat Vol. 2 No. 2 (2025): August 2025
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/jihapenmas.v2i2.1469

Abstract

Pendidikan memegang peranan strategis dalam membangun kualitas sumber daya manusia yang berkelanjutan di tengah dinamika global dan perkembangan teknologi yang pesat. Namun, masih terbatasnya pemahaman masyarakat mengenai peluang pendidikan global, khususnya studi di luar negeri, menjadi tantangan yang perlu direspons melalui kegiatan edukatif. Penelitian ini bertujuan untuk mendeskripsikan pelaksanaan webinar edukasi bertema “Belajar Tanpa Batas: Mengapa Kuliah di Luar Negeri Itu Istimewa?” yang diselenggarakan oleh kelompok KKN-Dik Universitas Muhammadiyah Surakarta (UMS) di Kota Kendari. Metode yang digunakan adalah deskriptif dengan pendekatan kualitatif melalui teknik observasi, wawancara, dan dokumentasi selama kegiatan berlangsung. Hasil penelitian menunjukkan bahwa pelaksanaan webinar mampu meningkatkan kesadaran peserta akan pentingnya pendidikan sebagai investasi masa depan, memperluas wawasan mengenai sistem pendidikan luar negeri, serta menumbuhkan motivasi untuk melanjutkan studi ke jenjang yang lebih tinggi. Temuan ini menegaskan bahwa kegiatan edukasi berbasis webinar efektif sebagai media literasi pendidikan global. Oleh karena itu, program serupa perlu dikembangkan secara berkelanjutan untuk memperkuat kesiapan generasi muda dalam menghadapi persaingan global.
KORELASI ANTARA INTEGRITAS TERAPI MUSIK DENGAN TINGKAT EKSPRESI EMOSI MAHASISWA Astri Ramadani; A. Ainun Fadillah; Nur Aulia Rahma; Nurhikma; Abdul Hakim; Citra Prasiska Puspita Tohamba
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 In Order
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.35995

Abstract

This study aims to determine the relationship between the intensity of music therapy and the level of emotional expression of students at Makassar State University. The phenomenon of increasing academic, social, and personal pressures causes many students to experience difficulties in expressing emotions healthily. Music is seen as an alternative medium to help regulate and channel emotions. This study uses a quantitative approach with a non-experimental correlational method. The study population consisted of students of the Guidance and Counseling Study Program at Makassar State University, with data collection through a courage questionnaire. Data analysis was carried out using descriptive tests, the Kolmogorov-Smithnov normality test, simple linear regression, and the Pearson correlation test. The results of this study indicate a positive and significant relationship between the intensity of music therapy and the level of emotional expression of students (r = 0.429; p = 0.001). This means that the higher the intensity of students in music therapy, the higher their ability to express emotions adaptively. Music therapy has been shown to stimulate the autonomic nervous system, reduce stress, and improve emotional well-being. These findings support the application of music therapy as an effective nonverbal therapy in guidance and counseling, especially to help students manage emotions and mental health positively.
Training on Prompt-Based Artificial Intelligence (AI) to Enhance Students’ Scientific Papers: Pengabdian Sulviana, Sulviana; Mursidin, Muthmainnah; Nonci, Jusmaniar; Indahyanti, Rizka; Nurjannah, Sitti; Muhammad Chairil Imran; Rahmatillah, Sri Fatimah; Tohamba, Citra Prasiska Puspita
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5172

Abstract

Although writing scientific papers requires critical thinking and mastery of academic language, many students still struggle with coherence, logical structure, and proper citation. However, advances in artificial intelligence (AI), particularly prompt-based generative language models, offer new opportunities to support academic writing. The training included a presentation of the material and practical exercises, followed by questionnaires and interviews to explore students’ perceptions. The results indicated that the moderate and targeted use of AI, especially during the planning and revision stages, improved the clarity of the academic language and the cohesion between paragraphs. AI helped students overcome psychological barriers to writing, increasing their motivation without raising ethical concerns related to academic integrity and overreliance on AI-generated content. Overall, the community service team concludes that prompt-based AI can effectively enhance students’ scientific papers when used with critical reflection, guidance from lecturers, and strong ethical awareness.
Students' Voices: Navigating Written Corrective Feedback in English Language Learning Tohamba, Citra Prasiska Puspita
ELITE JOURNAL Vol 8 No 1 (2026): ELITE JOURNAL: Journal of English Linguistics, Literature, and Education [ONGOING
Publisher : Perkumpulan Dosen dan Pengajar Bahasa Inggris Se-Indonesia (ELITE Association Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Written Corrective Feedback (WCF) remains a widely practiced instructional strategy in English as a Foreign Language (EFL) classrooms, particularly for improving students’ writing accuracy, yet debates continue regarding its pedagogical value and the ways learners actually respond to it. While existing studies have examined the technical aspects of WCF, fewer have investigated how students perceive its usefulness and how their emotional reactions shape engagement with feedback. This study seeks to explore these dimensions by analyzing students’ preferences for different feedback types, their evaluations of WCF’s effectiveness, and the affective responses that accompany the process. Adopting a qualitative design, data were collected through surveys and semi-structured interviews with EFL learners from diverse academic backgrounds. The results suggest that although students generally recognize WCF as an essential tool for language development, their preferences vary: some favor direct feedback for its clarity, others prefer indirect or metalinguistic feedback for encouraging self-correction. Emotional responses were equally diverse, ranging from motivation, reassurance, and appreciation to frustration, anxiety, and even discouragement when feedback was perceived as overly critical. These emotional factors proved influential in determining the extent to which learners engaged with and acted upon the corrections provided. The study concludes that effective feedback practices require a balance between corrective and supportive elements, enabling learners to benefit cognitively while also maintaining confidence and resilience in the face of error correction. The findings hold significant implications for language teachers, emphasizing the importance of adopting feedback strategies that attend simultaneously to students’ linguistic needs and their affective well-being in order to cultivate sustainable writing development.
Efektivitas Penggunaan Aplikasi Aku Pintar Dalam Asesmen Kebutuhan Siswa Di Sekolah Ikafitri, Nur Artha; Marsuki, Nur Asky; Wahyuni B, Sri; H, Nurhikmah; Tohamba, Citra Prasiska Puspita
Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi Vol 9 No 1 (2026): Maret
Publisher : Program Studi Bimbingan dan Konseling FKIP Universitas Islam Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jcbkp.v9i1.4881

Abstract

The diverse needs of students require guidance and counseling teachers to conduct accurate and rapid assessments with the support of digital technology such as the Aku Pintar application, which facilitates effective data collection and analysis. This study aims to evaluate the effectiveness of the Aku Pintar application in assessing student needs in schools through a descriptive-reflective literature review. The analysis was conducted by reviewing various relevant studies and academic articles related to the implementation of digital assessment in guidance and counseling practices. The results of the study indicate that the Aku Pintar application helps guidance and counseling teachers identify students' academic and non-academic needs more quickly and accurately. Furthermore, this study synthesizes that the effectiveness of using digital applications in guidance and counseling services is determined not only by technological superiority but also by teachers' digital literacy readiness and school system support. Theoretically, this study contributes to strengthening the concepts of digital counseling and data-driven counseling in the context of student needs assessment in schools. Practically, the results of this study provide implications for guidance and counseling teachers and educational institutions to improve digital competency and provide infrastructure support to optimize the use of technology in guidance and counseling services. These findings also emphasize the importance of teachers' digital literacy readiness in utilizing assessment technology, as well as the need for continuous professional development. Keywords: Aku Pintar application; digital guidance and counselling; effectivenessstudent needs assessment;
STRATEGI PEMBELAJARAN MENDALAM (DEEP LEARNING) DAN METODE IMPLEMENTASINYA PADA PENDIDIKAN DASAR: A SYSTEMATIC LITERATURE REVIEW Irwan, Alken; Efendi, Rendi Nur; Tohamba, Citra Prasiska Puspita; Fahmi, Fahmi; Aswita, Dian
JURNAL PENDIDIKAN DASAR PERKHASA: Jurnal Penelitian Pendidikan Dasar Vol 12, No 1 (2026): Jurnal Pendidikan Dasar Perkhasa: Jurnal Penelitian Pendidikan Dasar
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpdp.v12i1.6131

Abstract

Deep learning in elementary education has become increasingly relevant as 21st-century competencies emphasize conceptual understanding, transferability, and higher-order thinking skills from an early stage. This study aimed to synthesize deep learning strategies and their implementation methods in elementary education using a systematic literature review (SLR) approach based on PRISMA. The search process was conducted using keywords related to “deep learning” and “elementary education” across national and international academic databases, followed by screening based on inclusion–exclusion criteria and data extraction for thematic synthesis. Of the 30 documents identified, 20 studies met the criteria for analysis. The findings indicate that deep learning in elementary education is most commonly operationalized through project-based, problem-based, and inquiry-based strategies, strengthened by collaboration and reflection as cross-cutting elements. Recurring implementation patterns include contextual engagement, exploration, concept reinforcement, product or solution creation, presentation and feedback, and reflection, with authentic assessment (performance rubrics, portfolios, and self/peer assessment) ensuring learning depth. The most consistent impacts include improved conceptual understanding, enhanced critical thinking and problem-solving skills, and the development of communication and collaboration abilities. These findings highlight the importance of strengthening teachers’ capacity in designing tasks and authentic assessments, as well as providing institutional support to ensure sustainable implementation of deep learning in elementary education.
Co-Authors A Halim A. Ainun Fadillah Abdul Hakim Abdul Halim Ahmad Azhari Al Kahfi Almuthmainnah, Almuthmainnah Amin Mubarak Ansyar, Muhammad Apriani Safitri Ashabul Kahfi Susanto Asniati Astri Ramadani Dian Aswita, Dian Edwar, Harisa Efendi, Rendi Nur Elsa Natasary elsa, elsa Fahmi Fahmi Faridawati Faridawati Faridawati Faridawati Faridawati, Faridawati H, Nurhikmah Hakim , Abdul Hardianti Hardianti Hardianti, Hardianti Hendra Nelva Saputra Hesran, Wa Ode Hesti, Ikma Ikafitri, Nur Artha Indahyanti, Rizka Iva, Muhammad Irvan Nur' Jannah, Nurul Kisman Salija Leli Endistira lilis . Limbong, Sunarlia Marsuki, Nur Asky Muflihun, Muflihun Muh Sahir Muh Tinokabarak B Muh. Syukur Muhammad Basri Muhammad Chairil Imran Mursidin, Muthmainnah Musdalifah Musdalifah Musdalifah Nanda Refana Magdalena Nerta, Priska Oktavia Nining Aria Nitit, Maria Susana Nonci, Jusmaniar Nur Aulia Rahma Nur Rizky Alfiany Nur Rizky Alfiany Nurhikma Nurhikma, Nurhikma Nurjannah, Sitti Patta, Naifah Mansyur Rahayu Rahayu Rahmatillah, Sri Fatimah Rahmiatin, Titin Rheza Yudha Pradana Ririn Syahriani Risal, Laode Risnajayanti Roy, Aiswarya Safitri Nuraini Safitri, Nur Sagitayana, Elma Salam, Agung Surya Sarfat, Suci Yulkhafidzah Sari, Yayan Saskia, Cintia Selvi Nezalasmi Sulfian, Sulfian Sulviana, Sulviana Syarif Amin Syarif, Andi Rachmawati Tumonglo, Yunita Ukbayana Ukbayana Wa Ode Hesran Wa Ode Rahayu Wahyuni B, Sri Wilin Apriani Harjarombe Windy Eka Pratama Yoesanti, Adi Yuliana Sain Yuniarti Yuniarti Yunizahrani, Auliya