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All Journal PROSIDING SEMINAR NASIONAL FIKkeS Jurnal NERS Sawwa: Jurnal Studi Gender Journal Of Nursing Practice Journal Of Holistic Nursing Science Jurnal Ilmu Kesehatan Nursing Current : Jurnal Keperawatan Jurnal Peduli Masyarakat Jurnal Ners Widya Husada Indonesian Journal of Global Health research Jurnal Health Sains Jurnal Empathy Pengabdian Kepada Masyarakat SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Jurnal Keperawatan Journal An-Nafs: Kajian Penelitian Psikologi Promotion and Prevention in Mental Health
Heni Dwi Windarwati
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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The Effect of Standard Hospital Care on Chemotherapy Induced Nausea and Vomiting (CINV), Chemotherapy Induced Peripheral Neuropathy (CIPN) and Anxiety in Breast Cancer Patients With Chemotherapy in Jember, Indonesia Mu'awanah, Siti; Ahsan, Ahsan; Windarwati, Heni Dwi
Jurnal Health Sains Vol. 4 No. 12 (2023): Journal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v4i12.1168

Abstract

Breast cancer has a large number of new cases and deaths in the world and Indonesia. Chemotherapy is one of the treatments chosen to treat breast cancer patients. Physical side effects can include Chemotherapy-induced Induced Nausea and Vomiting (CINV), Chemotherapy-induced Induced Peripheral Neuropathy (CIPN) and anxiety. Standard hospital care is care in which nursing actions are in accordance with the Standard Operating Procedure (SOP) that the hospital has established for each existing service. The research method used was quasi-experimental (quasi-experiment), which was carried out with an unequal control group design. The pre-test was carried out during chemotherapy when the researcher met the respondent, and the post-test was carried out during the respondent's following chemotherapy schedule. The population in this study were breast cancer patients undergoing chemotherapy at the chemotherapy clinic at RSD, Dr. Soebandi Jember and Rumkit Kindergarten. III Baladhika Husada Jember . The sampling method used was simple random sampling with a minimum sample size of 60 people. The results of the Paired Samples Test can be concluded that standard treatment in hospitals does not affect the level of Chemotherapy Induced Nausea and Vomiting (CINV) but does influence the incidence rate of chemotherapy-induced peripheral neuropathy (CIPN) and the level of anxiety in breast cancer patients with chemotherapy.
Mitigating Strategies for Nurses' Emotional Exhaust based on Technology-Based Assessment: A Systematic Review Laily, Anis khilya khasnatil; Dian Handayani; Heni Dwi Windarwati
Journal Of Nursing Practice Vol. 9 No. 2 (2026): January
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v9i2.709

Abstract

Background: Most nurses report experiencing emotional exhaustion due to high job demands, a condition that not only affects individuals but also impacts the overall healthcare system. The utilization of health information systems offers significant potential in detecting, measuring, and managing emotional exhaustion among healthcare professionals through comprehensive data analysis, thus improving individual well-being and the quality of healthcare services. Purpose: The objective of this systematic review is to explore indicators of emotional exhaustion and strategies to address it. Methods: This review was developed based on the Joanna Briggs Institute (JBI) methodology and presented according to PRISMA. Three databases, PubMed, ScienceDirect, and ProQuest, were used as sources to search for studies in English. The research obtained with the criteria of discussing health information systems and emotional exhaustion, original research, full text, and published between 2019-2024. Out of 1,782 identified articles, 15 articles were selected for in-depth analysis. Results: Through this systematic review, it was found that HIS can be used to measure emotional exhaustion through behavioural, performance, and organizational dimensions. These indicators can be identified through the analysis of data stored in HIS. In addition, HIS can also support mitigation efforts through increased work efficiency, employee health management, and organizational support. Conclusion: Detecting the condition of emotional exhaustion and understanding how to mitigate it are competencies required to support the smooth and quality delivery of nursing care.
Improving Academic Writing Skills through Artificial Intelligence-Based Training Lestari, Retno; Windarwati, Heni Dwi; Hayati, Yati Sri; Putri, Marcellina Tiarani; Bernardy, Jennifer Aishah Ratu; Kartika, Juwita Nindya
Jurnal Empathy Pengabdian Kepada Masyarakat Jurnal Empathy Pengabdian Kepada Masyarakat Volume 6 Number 2 Year 2025
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/jurnalempathy.v6i2.368

Abstract

Background: The integration of artificial intelligence (AI) into academic environments has been on the rise to enhance research productivity and improve the quality of academic writing. Despite the growing interest in this area, empirical evidence on the measurable impact of AI-based training on academic writing skills remains limited. The aim of this community service activity was to enhance the participants' academic writing skills through a structured AI-assisted training program. Methods:  This community service program was conducted over a three-day period in May 2025 at the Faculty of Health Sciences, Universitas Brawijaya, Indonesia. A total of 30 university students volunteered to participate in this study. The community service program comprised five stages: preparation, socialization, training implementation, and evaluation. The training methods included socialization, counseling, workshops, and hands-on practicums focusing on AI-based academic writing. The evaluation was executed employing a pretest–posttest design, in which a writing rubric was used to assess the participants’ academic writing skills. Results: The analysis indicated a significant improvement in writing performance following the AI-based training. The mean pretest score was recorded at 65.3 (SD = 7.5), while the posttest mean reached 81.2 (SD = 6.8). The paired-sample t-test highlighted a statistically significant difference between the pretest and posttest scores (t = 8.24, df = 29, p < 0.001). Conclusion: The AI-based academic writing training implemented through this community service program effectively enhanced the participants’ writing skills. This program demonstrates that AI-assisted training can be an effective model for strengthening academic writing competence in community service initiatives.
Psychometric Properties of the GAD-7 for Assessing Anxiety Disorder Among Students and Populations in Developing Countries: A Systematic Review Haris Petriano; Retno Lestari; Heni Dwi Windarwati
Journal An-Nafs: Kajian Penelitian Psikologi Vol. 10 No. 2 (2025): Journal An-Nafs: Kajian Penelitian Psikologi
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/psi.v10i2.8191

Abstract

Generalized anxiety disorder (GAD) is one of the most common anxiety disorders and significantly impacts individual well-being. Early detection using a valid instrument, such as the GAD-7, is essential for effective intervention. However, evidence regarding the psychometric performance of the GAD-7 in developing countries remains fragmented, particularly across student and community populations, necessitating systematic synthesis. This study aimed to systematically review and synthesise evidence on the psychometric properties of the GAD-7, including its validity, reliability, cut-off values, and cultural adaptability, among students and general populations in developing-country contexts. A systematic review was conducted using three databases: PubMed, ScienceDirect, and SAGE Journals. The search employed the keywords “Anxiety Disorder,” “Developing Country,” “Generalized Anxiety Disorder-7,” “Mental Health,” “Psychometric,” and “Student,” using Boolean operators (AND, OR). Of the 3,255 records identified, 15 studies met the inclusion criteria after screening and eligibility assessment and were included in the final synthesis. The review demonstrates that the GAD-7 shows consistently strong construct validity, a stable unidimensional factor structure, and robust convergent validity across diverse cultural and educational settings, with positive correlations observed with related instruments such as the PHQ-9. With high internal consistency (Cronbach’s α = 0.85–0.93) and a commonly supported cut-off score of ≥10, the GAD-7 effectively identifies anxiety symptoms, although context-specific lower cut-off scores were reported in certain clinical and community populations. Overall, the findings indicate that the GAD-7 is a valid, reliable, and culturally adaptable screening instrument for anxiety assessment. By consolidating psychometric evidence across developing-country contexts, this review provides an integrated and up-to-date synthesis that supports the informed use of the GAD-7 in educational, clinical, and public mental health settings, particularly in low-resource environments.
Peranan Kecerdasan Buatan (Artificial Intelligence) sebagai Media Pembelajaran dalam Meningkatkan Kualitas Artikel Ilmiah Lestari, Retno; Windarwati, Heni Dwi; Krisanthi, Ni Nyoman Reghita; Wahyuningrum, Linda; Bhanuwati, Pramudita
SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Vol 7 (2025)
Publisher : SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan)

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

Abstract

Kecerdasan buatan (AI) berpotensi meningkatkan kualitas artikel ilmiah yang dihasilkan oleh mahasiswa secara signifikan. Dengan memanfaatkan perangkat AI, mahasiswa dapat menerima bantuan di berbagai tahap proses penulisan, mulai dari bertukar pikiran dan mengatur ide hingga menyusun dan mengedit tulisan mereka. Penelitian ini mengevaluasi efektivitas pelatihan berbasis kecerdasan buatan (AI) dalam meningkatkan kualitas artikel ilmiah mahasiswa. Desain pre eksperimen digunakan pada 37 mahasiswa yang dipilih secara purposive sampling dan mengikuti tiga tahap intervensi: (1) edukasi penggunaan AI, (2) pelatihan interaktif dengan alat?alat AI (mis. penulisan, penyuntingan, pemeriksaan plagiarisme), serta (3) evaluasi artikel ilmiah hasil kerja peserta. Sebelum dan sesudah intervensi, masing?masing peserta mengisi kuesioner pre?test dan post?test yang mengukur pemahaman serta kemampuan penerapan AI dalam proses penulisan. Rata?rata skor pre?test tercatat 14,31?±?2,07, sedangkan post?test meningkat menjadi 14,67?±?0,59. Analisis non?parametrik Wilcoxon signed?rank test menghasilkan nilai statistik W?=?38,5 dengan p?=?0,606 (??=?0,05), sehingga tidak terdapat perbedaan signifikan secara statistik antara skor pre? dan post?test. Meskipun perbedaan tidak signifikan, tren kenaikan skor menunjukkan bahwa paparan terhadap AI dapat mendukung proses penulisan—misalnya dalam identifikasi kesalahan tata bahasa, perbaikan struktur kalimat, serta penyediaan literatur relevan. Temuan ini selaras dengan literatur terkini yang melaporkan manfaat AI pada aspek teknis penulisan namun menekankan variabilitas individu dan pentingnya integrasi etika serta umpan balik personalisasi untuk mencapai dampak yang terdeteksi secara statistik. Dengan demikian, pelatihan AI memiliki potensi memperbaiki kualitas artikel ilmiah mahasiswa, tetapi diperlukan desain intervensi yang lebih intensif dan berkelanjutan serta penekanan pada evaluasi kritis dan etika penggunaan AI.
Co-Authors A Chusnul Qhuluq Ar Ahsan Ahsan Ahsan Aini Nurazizah Aini, Rizqi Nur Anastasia Anna Asri Maharani Asti Melani Asti Melani A. Ayu A, Komang Ellia Ayut Merdikawati, Ayut Bambang Setyawan Bernardy, Jennifer Aishah Ratu Bhanuwati, Pramudita Boyke, Benny Budi Anna Keliat Dian Handayani Dumar, Bergita Fransiska Imavike Fevriasanty Genga Nurina Putri Haris Petriano Hasan, Haliza Hayati, Yati Sri Henik Tri Rahayu Hummaya, Atin Ida Wahyuni Ikhda Ulya, Ikhda Ilmy, Shofi Khaqul Indah Winarni Kartika, Juwita Nindya Krisanthi, Ni Nyoman Reghita Kurniawati, Victoria Maya Kusumawati, Mira wahyu Laily, Anis khilya khasnatil Laras Ati, Niken Asih Lin, Mei-Feng Livana Ph, Livana Megananda, Nadya Karlina Mu'awanah, Siti Mudiyanselage, Sriyani Padmalatha Konara Niken Asih Laras Ati Ningrum, Evi Harwiati Nur Aini Putri, Marcellina Tiarani Rahayu, Gemi Renny Nova, Renny Retno Lestari Retno Lestari Ridhoyanti Hidayah, Ridhoyanti Rika Yustita Roemahlaiselan, Sindy Olivia Saragih, Desi Christin Selena, Irhamna Nias Selena, Irhamnaa Nias Septiansyah, Dhimas Anggi Siti Mu'awanah Sulaksono, Ari Dwi Sulistyono Sulistyono Sunarto, Muhammad Surahman, Alissa Puspita Taty Hernawaty Tita Hariyanti Tutu April Ariani Wahyuningrum, Linda Wulandari, Rany Agustin Wulandari, Shenda Maulina Yulianto, Sigit