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Pengaruh Pendidikan Kesehatan Terhadap Pengetahuan Deteksi Dini Dan Pencegahan Anemia Dalam Upaya Menurunkan Aki Pada Kader Posyandu Solehati, Tetti; Sari, Citra Windani Mambang; Lukman, Mamat; Kosasih, Cecep Eli
Jurnal Keperawatan Komprehensif Vol 4, No 1 (2018): Jurnal Keperawatan Komprehensif
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.717 KB)

ABSTRAKLatar belakang: salah satu faktor penyebab masih tingginya angka mortalitas pada ibu antara lain anemia ibu hamil. Peran kader masyarakat yang tergabung dalam posyandu sangat diperlukan untuk ibu hamil dalam bentuk pendidikan kesehatan kepada ibu hamil untuk mengetahui pengaruh edukasi deteksi dini anemia terhadap pengetahuan kader posyandu. Tujuan Penelitian: penelitian ini bertujuan untuk mengetahui pengaruh pendidikan kesehatan terhadap pengetahuan deteksi dini dan penceghan anemia pada kader posyandu. Metode: desain penelitian yang digunakan adalah quasi eksperimen dengan pretest dan post test without control. Pengambilan sampel dilakukan dengan metode total sampling sebanyak 21 kader kesehatan posyandu di Cipamokolan Kelurahan Mekarjaya Kecamatan Rancasari Bandung. Analisis data meliputi univariat dan bivariat dengan menggunakan uji t test. Hasil penelitian menunjukkan rata-rata tingkat pengetahuan sebelum intervensi dalam kategori kurang (19%), cukup (76,2%), baik (4,8%) meningkat setelah intervensi menjadi cukup (14,3%) dan baik (85,7%). Pada analisis lanjut ditemukan rata-rata tingkat pengetahuan sebelum intervensi dari 60 menjadi 90 (p= 0.001). Kesimpulan: pendidikan kesehatan berpengaruh dalam meningkatkan tingkat pengetahuan kader kesehatan. tingkat pengetahuan kader kesehatan. ABSTRACTBackground: one of the contributing factors of high maternal mortality rate is pregnant mother's anemia. The role of community cadres incorporated in Posyandu is very necessary for pregnant women in the form of health education to pregnant women. Research Objectives: this study aimed to determine the effect of health education on knowledge of early detection of anemia and prevention of anemia of Posyandu cadres. Methods: the quasi experiment with pre test and post test without control design was used in this study. Sampling was collected by total sampling method as many as 21 health cadres of posyandu in Cipamokolan Kelurahan Mekarjaya, Rancasari District of Bandung. Data analysis included univariate and bivariate by using t-test. The results showed that the average level of knowledge before the intervention was in the category of less (19%), enough (76.2%), good (4.8%), it increased after intervention to enough (14.3%) and good (85.7 %). In the advanced analysis found that the average level of knowledge before the intervention was 60 to 90 (p = 0.001). Conclusion: health education is influential in increasing the level of health cadre knowledge

Screen Fatigue During Online Learning Among First Grade of Nursing Students Yosep, Iyus; Sakti, Dimas Wibawa; Mardhiyah, Ai; Maulana, Indra; Hernawaty, Taty; Lukman, Mamat
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 2 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL)
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i2.631

Aims: Online learning causes mental health problems in students. Fatigue among students can hinder concentration, memory retention, and cognitive functioning, leading to decreased academic productivity, heightened stress, and disrupted personal and social lives. Screen fatigue among students can be attributed to factors such as prolonged screen exposure, inadequate breaks, poor ergonomics, multitasking, content nature, sleep deprivation, screen brightness, glare, visual discomfort, and reduced physical interaction during online classes. Method: This study used a quantitative descriptive design. The population in this study were first-year nursing students during online learning. The sample technique used total sampling. The sample in this study amounted to 180 respondents. Data collection used the Zoom Exhaustion & Fatigue Scale (ZEF Scale). Univariate data analysis to describe the frequency of screen fatigue levels in students. Results: The results of this study indicate that the majority of students have a moderate level of screen fatigue, namely 77 respondents (42.8%). Then respondents with low screen fatigue category were 45 people (25%). Then respondents with high screen fatigue category were 58 people (32.2%). This shows that student screen fatigue is still high, so lecturers and students must care about each other's mental health problems during online learning. Conclusion: Screen fatigue is a problem experienced by students during online learning, this data becomes data for universities to develop learning methods that are effective in reducing the problem of screen fatigue in students. Nursing Implications: The implication of this research is that there is data for universities and lecturers in providing psychological services to students during online learning.

Overview of Resilience in High School Students Yosep, Iyus; Mardhiyah, Ai; Maulana, Indra; Lukman, Mamat; Hikmat, Rohman
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 5 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL)
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i5.764

Aim: This study aims to determine the description of resilience in students at Bandung High School. Method: This study used a descriptive design with purposive sampling technique, involving 100 respondents consisting of students from grades X to XII aged 12 to 19 years. Data were collected using the Connor-Davidson Resilience Scale (CD-RISC), which consists of 25 statements with a score range of 0-100. The results of the validity and reliability tests showed that the instruments used were valid and reliable. Results: The results showed that 30% of respondents had a high level of resilience (30 students), 42% were at a moderate level of resilience (42 students), and 28% had low resilience (28 students). The average resilience score was 60.94, with a score range between 35 and 100. These findings indicate the need for special attention to students with low resilience, who are at risk for psychological problems such as anxiety and depression. Social support, coping skills, and specially designed intervention programs can help improve resilience among students. Conclusion: This study underscores the importance of understanding high school students’ resilience levels to support their mental and academic well-being. More effective support programs for students with low resilience are needed, as well as further research to explore factors that influence resilience.

Screen Fatigue During Online Learning Among First Grade of Nursing Students Yosep, Iyus; Sakti, Dimas Wibawa; Mardhiyah, Ai; Maulana, Indra; Hernawaty, Taty; Lukman, Mamat
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 2 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL)
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i2.631

Aims: Online learning causes mental health problems in students. Fatigue among students can hinder concentration, memory retention, and cognitive functioning, leading to decreased academic productivity, heightened stress, and disrupted personal and social lives. Screen fatigue among students can be attributed to factors such as prolonged screen exposure, inadequate breaks, poor ergonomics, multitasking, content nature, sleep deprivation, screen brightness, glare, visual discomfort, and reduced physical interaction during online classes. Method: This study used a quantitative descriptive design. The population in this study were first-year nursing students during online learning. The sample technique used total sampling. The sample in this study amounted to 180 respondents. Data collection used the Zoom Exhaustion & Fatigue Scale (ZEF Scale). Univariate data analysis to describe the frequency of screen fatigue levels in students. Results: The results of this study indicate that the majority of students have a moderate level of screen fatigue, namely 77 respondents (42.8%). Then respondents with low screen fatigue category were 45 people (25%). Then respondents with high screen fatigue category were 58 people (32.2%). This shows that student screen fatigue is still high, so lecturers and students must care about each other's mental health problems during online learning. Conclusion: Screen fatigue is a problem experienced by students during online learning, this data becomes data for universities to develop learning methods that are effective in reducing the problem of screen fatigue in students. Nursing Implications: The implication of this research is that there is data for universities and lecturers in providing psychological services to students during online learning.

Overview of Resilience in High School Students Yosep, Iyus; Mardhiyah, Ai; Maulana, Indra; Lukman, Mamat; Hikmat, Rohman
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 10 No. 5 (2024): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL)
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v10i5.764

Aim: This study aims to determine the description of resilience in students at Bandung High School. Method: This study used a descriptive design with purposive sampling technique, involving 100 respondents consisting of students from grades X to XII aged 12 to 19 years. Data were collected using the Connor-Davidson Resilience Scale (CD-RISC), which consists of 25 statements with a score range of 0-100. The results of the validity and reliability tests showed that the instruments used were valid and reliable. Results: The results showed that 30% of respondents had a high level of resilience (30 students), 42% were at a moderate level of resilience (42 students), and 28% had low resilience (28 students). The average resilience score was 60.94, with a score range between 35 and 100. These findings indicate the need for special attention to students with low resilience, who are at risk for psychological problems such as anxiety and depression. Social support, coping skills, and specially designed intervention programs can help improve resilience among students. Conclusion: This study underscores the importance of understanding high school students’ resilience levels to support their mental and academic well-being. More effective support programs for students with low resilience are needed, as well as further research to explore factors that influence resilience.

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