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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi NurseLine Journal Jurnal Kesehatan Mesencephalon JURNAL DIVERSITA Media Ilmu Kesehatan Jurnal Pengabdian Masyarakat Karya Husada (JPMKH) Jurnal Pengabdian Masyarakat Abdimas Madani Jurnal EduHealth Journal of Innovation in Community Empowerment (JICE) Smart Society Empowerment Journal Jurnal Indonesia Sehat (JURINSE) Healthy Behavior Journal
Sumiyarini, Retno
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Education Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Penerapan Intervensi Cold Pack Terhadap Penurunan Skala Nyeri Pada Pasien dengan Post Op ORIF di Bangsal Bougenvile RSUD Kota Yogyakarta Mayanti , Lusiyani Rahayu; Sumiyarini, Retno
Jurnal Indonesia Sehat Vol. 2 No. 3 (2023): JURINSE, Desember 2023
Publisher : SAMODRA ILMU: Lembaga Penelitian, Penerbitan, dan Jurnal Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58353/jurinse.v2i3.171

Abstract

Background: Fracture is a condition of partial or total loss of cartilage continuity caused by trauma or physical force. The high incidence of fractures each year requires appropriate management including fracture surgery, namely Open Reductive Internal Fixation (ORIF)—one of the problems that occurs after ORIF is pain. Pain is an unpleasant emotional and physiological phenomenon. Pain can be treated with non-pharmacological therapies, including a cold compress with a cold pack. Objective: To determine the decrease in pain scale with non-pharmacological therapy (cold pack compress). Methods: The method used in this case study is a pretest-postest design. Researcher compared the patient's condition before and after treatment of cold pack. Intervention was carried out for three consecutive days with administration twice daily for 20 minutes. The instruments used in this case study are assessment sheets and pain scale measurement observation sheets using the Numeric Rating Scale (NRS). Results: Before being given a cold pack compress, Mr. A's pain scale was moderate (scale 5). After being given three consecutive days of action, patient’s pain scale decreased to mild (scale 1). Conclusion: The application of cold pack intervention effectively reduces the pain scale in ORIF post-op patients.
The Effectiveness Saffron Tea on Reducing Stress Level Among Nursing Student Sumiyarini, Retno; Diaz, Khristina
Jurnal EduHealth Vol. 13 No. 02 (2022): Jurnal eduHealth, Periode Oktober - December, 2022
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.448 KB)

Abstract

Globally, around 60% of college students perceived stress. Untreated stress will have a negative impact on students’ quality of life, moreover, it can trigger students to consume drugs and alcohol, or commit suicide. Students’ reluctance to seek help, expensive treatment cost, and long treatment times to reduce stress encouraged us to assess the effects of saffron as an alternative treatment on reducing stress among students. The aim of this study was to evaluate the effect of saffron on students who perceive stress. We conducted an un-blinded experimental study. We recruited 78 nursing students who perceive stress, divided into two groups, the saffron group (n=42) and control groups (n=36). Treatment protocol was: saffron group received saffron as brewed drinks, while control group drinks regular tea. The treatment duration is two weeks. Using the DASS 21 Checklist, we assessed the students at baseline, and after 2 weeks completed therapy to measure the outcome. Finally, the data were analyzed using t test statistical analysis. Saffron had a more significant impact on the stress level among the intervention group. The mean stress scores decreased from 15.4 ± 6.1 to 10.8 ± 5.8 for the saffron group (p < .0001) and from 15.6 ± 5.7 to 14.7 ± 6.4 for the control group (p < .01). Our findings suggest that saffron is as effective to reduce stress level among nursing students
Tweet Analysis of Mental Illness Using K-Means Clustering and Support Vector Machine Kusumaningtyas, Kartikadyota; Habibi, Muhammad; Dwijayanti, Irmma; Sumiyarini, Retno
Telematika Vol 20 No 3 (2023): Edisi Oktober 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i3.9820

Abstract

Purpose: Social media, particularly Twitter, provides a venue for individuals to share their thoughts. The public's perception of mental illnesses is often debated on Twitter. So yet, no evaluation of community tweets connected to data on mental health conditions has been performed. The purpose of this study is to examine tweets linked to mental illnesses in Indonesia in order to identify the themes of conversation and the polarity trends of these tweets.Design/methodology/approach: To address this issue, the K-Means Clustering algorithm is utilized to aggregate tweet data that is used to find themes of conversation. The emotion polarity value of each cluster result was then determined using the Support Vector Machine (SVM) approach.Findings/results: This study generated five topic clusters based on tweets about mental illness. While sentiment analysis revealed that all clusters had more negative sentiment classes than positive. Cluster 4 and Cluster 5 had the highest number of negative sentiment values. These clusters emphasize the necessity of consulting with psychiatrists and psychologists if people have mental health disorders, as well as financing for mental health disorder treatment through BPJS Kesehatan services.Originality/value/state of the art: The analysis was done in two stages: data grouping to find themes of conversation using K-Means clustering and SVM to look for positive and negative polarity values associated to twitter data about mental illness.
Co-Authors Agita Zunilatri Kurniastiti Amini Yuliyani Aulia Devi Septiyani Aulia Devi Septiyani Devi Septiyani, Aulia Diaz, Khristina Dwi Purwanti , Fera Dwi Yati Dwi Yati Dwijayanti, Irmma Dwiyati Fadli, Muh Khoironi Fera Dwi Purwanti Ferianto Ferianto, Ferianto Fitri Hastari Hastari, Fitri Hidayati, Rizqi Wahyu Hutasoit, Masta I Made Yase Sanjaya Ida Nursanti Ida Nursanti Ike Wuri Winahyu Sari Irmma Dwijayanti Khristina Dias Utami Kusumaningtyas , Kartikadyota Kusumaningtyas, Kartikadyota Latifah Susilowati M. Rizki Farhan Mayanti , Lusiyani Rahayu Muhammad Erwan Syah Muhammad Habibi Muhammad Habibi Pamungkas, Dewi Retno Rahmah Rahmah Sujono Riyadi Triansyah, Khusnul Fera Yase Sanjaya, I Made Yase Sanjaya, I Made Zunilatri Kurniastiti, Agita