http://journal2.stikeskendal.ac.id/index.php/keperawatan/issue/feedJurnal Keperawatan2025-05-15T14:37:56+00:00Livana PHlivana.ph@gmail.comOpen Journal Systems<p><img 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" />Jurnal keperawatan (JK) merupakan bagian integral dari jurnal yang diterbitkan oleh LPPM STIKES Kendal. JK merupakan sarana pengembangan dan publikasi karya ilmiah bagi para peneliti, dosen dan praktisi keperawatan. JK menerbitkan artikel-artikel yang merupakan hasil penelitian, studi kasus, hasil studi literatur, konsep keilmuan, pengetahuan dan teknologi yang inovatif dan terbaharu dalam lingkup keperawatan yang berfokus pada (10) pilar keperawatan, : meliputi<em>keperawatan anak, keperawatan maternitas, keperawatan medikal-bedah, keperawatan kritis, keperawatan gawat darurat, keperawatan jiwa, keperawatan komunitas, keperawatan gerontik, keperawatan keluarga, dan kepemimpinan dan manajemen keperawatan.</em> JK diterbitkan pertama kali dengan ISSN versi cetak pada Volume 1 No 1 Maret 2009 dan ISSN versi online pada Volume 9 No 1 Maret 2017. JK awalnya terbit 2 kali dalam setahun yaitu bulan terbitan Maret dan September. JK mulai Desember 2018 terbit 4x dalam setahun, yaitu bulan terbitan Maret, Juni, September, dan Desember. Artikel yang terbit di JK telah melalui proses telaah sejawat yang memiliki keahlian yang relevan. </p>http://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/3809Hubungan Peer Group Support dengan Kepatuhan Pengobatan ARV Penderita HIV/AIDS2025-05-13T04:46:15+00:00Misutarno Misutarnolivana.ph@gmail.comSiti Nur Hasinasitinurhasina@unusa.ac.idNur Ainiyahlivana.ph@gmail.comSulistyorini Sulistyorinilivana.ph@gmail.com<p>Kepatuhan terhadap pengobatan ARV sangat penting untuk menekan perkembangan virus, meningkatkan kualitas hidup ODHA (Orang dengan HIV/AIDS), dan mencegah penularan lebih lanjut. Namun, kepatuhan pengobatan ARV seringkali menjadi tantangan yang kompleks. Tujuan Penelitian ini Untuk menganalisis hubungan antara peer group support terhadap kepatuhan pengobatan Antiretroviral (ARV) pada penderita HIV/AIDS. Jenis penelitian yang akan digunakan pada penelitian ini adalah observational analitik dengan pendekatan cross sectionl study untuk mengetahui hubungan antara <em>peer group support</em> dengan kepatuhan pengobatan Antiretroviral (ARV) pada penderita HIV/AIDS.. Penelitian dilakukan di salah satu LSM Mahameru Populasi penelitian ini yaitu seluruh penderita HIV dengan Pengobatan ARV dan pernah mendapatkan dukungan di LSM sebanyak 275. Teknik pengambilan sampel menggunakan metode probability sampling yaitu simple random sampling. Sampel pada penelitian ini didapatkan sebesar 73 responden. Variable independent yaitu peer grup support dan variable dependen yaitu kepatuhan minum ARV. Instrument penelitian peer grup support menggunakan pengembangan kuesioner Skala Dukungan Teman Sebaya (SDTS) terdapat 20 Pertanyaan dan instrument kepatuhan minum ARV diukur dengan instrument Monrisky Medication Adherence scale (MMAS-8) yang terdiri dari 8 pertanyaan dengan kriteria skor < 6 = kepatuhan rendah, skor 6-7 = kepatuhan sedang, dan skor 8 = kepatuhan tinggi. Pengolahan data dianalisis menggunakan uji<em> rank spearman</em> dengan tingkat kemaknaan 0,05. Berdasarkan Hasil Uji <em>Rank Spearman </em>didapatkan nilai p = 0,000 < 0,05 yang berarti ada hubungan antara Tingkat Peer Group Support Dengan Kepatuhan Pengobatan ARV dengan nilai koefisien korelasi 0,934 yang berarti yang memiliki hubungan sangat kuat.</p>2025-06-14T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/3437Pendidikan Teman Sebaya Meningkatkan Praktik SADARI pada Remaja di SMA2024-11-19T02:43:52+00:00Aric Frendi Andriyanfrendiaric@gmail.comFatimah Fatimahlivana.ph@gmail.comHendri Devitalivana.ph@gmail.comNirmala Sarilivana.ph@gmail.com<p>SADARI adalah salah satu program pencegahan kanker payudara. SADARI sudah dapat dilakukan saat usia remaja, karena remaja lebih menyukai informasi yang berasal dari teman sebaya daripada orang tua maupun guru. Sehingga materi yang disampaikan dapat meningkatkan Praktik SADARI. Penelitian ini betujuan untuk mengetahui pengaruh pendidikan kesehatan dengan teman sebaya terhadap praktik SADARI. Penelitian ini menggunakan design quasi eksperimen melalui pendekatan pretest- posttest with kontrol grup dengan sampel 240 responden remaja putri. Data dikumpulkan dengan kuesioner dan dia analisa menggunakan uji statistik adalah uji Wilcoxon. Penelitian menunjukkan bahwa nilai median praktik SADARI responden pada kelompok pre-test praktik SADARI adalah 11,00 dan Post-test intervensi adalah 55,00 sedangkan nilai median pre-test praktik SADARI pada kelompok kontrol adalah 11,00 dan nilai median post-test praktik SADARI responden pada kelompok kontrol adalah 17,00. Hal ini menunjukkan adanya perbedaan antara praktik SADARI sebelum dan sesudah diberikan pendidikan kesehatan melalui teman sebaya (P value 0,000 < 0,05). Teman sebaya sangat berpengaruh dalam meningkatkan praktik SADARI sehingga sangat penting dalam deteksi dini kanker payudara. Upaya program yang berkesinambungan perlu untuk dibentuk sehingga program SADARI berjalan</p>2025-04-22T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2634Pengaruh Penyuluhan Kesehatan Berbasis Media Audio Visual terhadap Pengetahuan tentang Tuberkulosis pada Anak Sekolah Dasar2024-09-15T17:14:54+00:00Lia Dwi Jayantiliadwijayantii@gmail.comMay Lorennamaylorenna@poltekkes-smg.ac.idLisa Rizky Amalialivana.ph@gmail.com<p>Tuberkulosis (TB) masih menjadi masalah kesehatan dunia. TB tidak hanya menyerang orang dewasa, namun juga anak-anak. Pemberian terapi TB pada anak masih ditemukan adanya ketidakberhasilan pengobatan, meliputi: pengobatan yang tidak benar, kegagalan pengobatan, dan putus pengobatan sehingga diperlukan edukasi yang tepat dan menarik. Tujuan penelitian ini untuk mengetahui pengaruh penyuluhan kesehatan berbasis media audiovisual terhadap pengetahuan tentang tuberkulosis pada anak. Penelitian ini merupakan pra-eksperimen dengan rancangan one group pre test-post test design. Populasi dalam penelitian ini adalah siswa kelas IV, V dan VI yang berjumlah 60 orang diambil dengan metode simple random sampling. Data dianalisis menggunakan uji statistic paired t-test. Hasil penelitian menunjukkan bahwa ada perbedaan yang signifikan antara sebelum dan sesudah diberikan penyuluhan kesehatan berbasis media audio visual (p-value = 0,001). Jumlah responden yang memiliki pengetahuan baik sebelum intervensi sebanyak 23 orang (38,3%) meningkat menjadi 58 orang (96,7%) setelah intervensi, sedangkan responden yang memiliki pengetahuan cukup sebelum intervensi berjumlah 33 orang (55%) mengalami penurunan menjadi 2 orang (3,3%) setelah intervensi. Setelah intervensi, tidak ada responden yang termasuk kategori pengetahuan yang kurang. Hasil tersebut menunjukkan bahwa penyuluhan kesehatan dengan media audio visual berpengaruh terhadap pengetahuan tentang tuberkulosis pada anak di SDN Gedawang 01 Kota Semarang.</p>2025-05-30T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2315Pengaruh Edukasi Video Animasi terhadap Kesiapsiagaan Bencana Gempa Bumi2024-07-10T22:41:00+00:00Endah Tri Wulandariendahtriwulandari@unisayogya.ac.idCindy Aisyah Feronikacindyaferonika14@gmail.com<p>Tingginya korban jiwa pada kejadian gempa menjadi indikasi bahwa masih rendahnya kesiapsiagaan serta kapasitas masyarakat dalam menghadapi gempa bumi. Sekolah dasar (SD) menjadi salah satu sasaran peningkatan kesiapsiagaan. Masih rendahnya tingkat kesiapsiagaan kelompok usia anak menjadi salah satu alasannya. Tujuan dari penelitian ini adalah mengetahui pengaruh edukasi video animasi terhadap kesiapsiagaan bencana gempa bumi di SD Negeri Kasihan, Yogyakarta. Metode penelitian ini adalah metode eksperimen dengan pendekatan pre – experimental design menggunakan pre test post test one group design. Tehnik pengambilan sampel menggunakan tehnik total sampling. Total keseluruhan sampel dalam penelitian ini berjumlah 50 orang.Pengumpulan data menggunakan kuisioner kesiapsiagaan yang dilakukan sebelum dan sesudah edukasi. Hasil uji Wilcoxon didapatkan hasil p-value 0.000, apabila p-value jika dibandingkan dengan taraf signifikansi 5% maka p-value memiliki nilai yang lebih kecil (p-value <0.05). Nilai p-value 0.000 dapat diartikan terdapat pengaruh pemberian edukasi melalui video animasi terhadap kesiapsiagaan bencana gempa bumi di Sekolah Dasar Negeri Kasihan Yogyakarta. Video animiasi mampu memotivasi siswa untuk belajar dan dapat memberikan respon positif sehingga mampu meningkatkan pemahamannya terhadap pembelajaran yang disampaikan</p> <p> </p>2025-04-22T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/3813Pengalaman Ibu dalam Merawat Anak Talasemia2025-05-15T14:37:56+00:00Icceng Sidabutariccengsidabutar@gmail.comEvi Karota Bukitevikarota@usu.ac.idSiti Zahara Nasutionzahara_nasution@yahoo.co.id<p>Talasemia merupakan penyakit genetik dengan kondisi kronis serius yang memerlukan transfusi darah seumur hidup. Keadaan ini membutuhkan perhatian serius agar kesehatan anak terus terjaga, tetapi juga menimbulkan beban emosional dan sosial yang berat, terutama bagi ibu sebagai pengasuh utama. Tujuan penelitian untuk mengeksplorasi pengalaman ibu dalam merawat anak dengan talasemia di Murni Teguh. Pendekatan deskriptif kualitatif fenomenologi dengan teknik wawancara mendalam terhadap lima belas partisipan ibu dengan anak terdiagnosa talasemia. Data dikumpulkan dari bulan Maret hingga Mei 2025. Wawancara direkam menggunakan audio, dan analisis data dengan menggunakan metode Colaizzi untuk mengidentifikasi tema-tema spesifik terkait dengan pengalaman ibu. Delapan tema yang ditemukan: 1) Beban emosional dan psikologis Ibu, 2) Tantangan ekonomi dan akses layanan, 3) Strategi perawatan anak, 4) Dukungan sosial dan lingkungan, 5) Pengalaman negatif, 6) Harapan terhadap sistem pelayanan kesehatan, 7) Spiritualitas ibu, 8) Kurang pemahaman tentang Talasemia. Temuan menunjukkan bahawa ibu-ibu yang memiliki anak dengan talasemia menghadapi banyak tantangan, maka diperlukan komunikasi yang efektif dan dukungan komprehensif serta koordinasi antara sistem layanan.</p>2025-06-14T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1638Gambaran Kecanduan Pornografi pada Remaja di Pesisir Kota Tarakan2023-09-08T06:15:04+00:00M. Akbar Nugrahamakbarnugraha@borneo.ac.idDarni Darnidarni@borneo.ac.idFitriya Handayanifitriyahalik@gmail.com<p>Kecanduan pornografi merupakan salah satu masalah yang dihadapi remaja pada masa pubertas. Kecanduan pornografi dapat menimbulkan berbagai masalah pada remaja baik bersifat fisik, psikologis sampai masalah sosial. Penelitian ini bertujuan untuk mengetahui gambaran kecanduan pornografi pada remaja di pesisir kota Tarakan. Metode penelitian ini deskriptif dengan sampel sebanyak 386 remaja. Kuesioner yang digunakan yaitu demografi dan kuesioner <em>pornography addiction screening</em> <em>tool</em> (PAST). Hasil terdapat remaja berusia diantara 12 sampai 15 tahun. Paparan pornografi berdasarkan jenis kelamin didapatkan bahwa jenis kelamin laki-laki lebih banyak terpapar pornografi. Lama tidur rata-rata selama 7,24 jam dan tingkat kecanduan pornografi mayoritas 285 responden atau 73,8% dengan kategori normal. Terdapat 79 responden atau 20,5% dengan kategori <em>concern </em>pornografi. Terdapat 16 responden atau 4,1% dengan kategori <em>emerging </em>pornografi dan terdapat 6 responden atau 1,6% dengan kategori <em>addicted </em>pornografi. Gambaran tingkat kecanduan pornografi pada remaja termasuk banyak dan diharapkan peran aktif dari orang tua dan adanya intervensi untuk mengatasi kecanduan pornografi.</p> <p> </p>2025-04-22T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/3737Kepatuhan terhadap Standar Dokumentasi dalam Rekam Medis Elektronik: Suatu Tinjauan Scoping2025-03-18T22:36:52+00:00Erny Faridayanti242320102034@mail.unej.ac.idAnisah Ardianaanisah_a.psik@unej.ac.idDodi Wijayadodi.wijaya@unej.ac.id<p>Kepatuhan terhadap standar dokumentasi dalam Rekam Medis Elektronik (EHR) sangat penting untuk keselamatan pasien dan kualitas layanan. Namun, tantangan seperti beban administratif, keterbatasan teknologi, dan kebijakan institusi yang bervariasi memengaruhi tingkat kepatuhan tenaga kesehatan. Dokumentasi yang akurat mendukung pengambilan keputusan klinis dan menurunkan risiko kesalahan medis. Studi ini bertujuan mengidentifikasi faktor-faktor utama yang memengaruhi kepatuhan terhadap standar EHR, mengevaluasi tantangan teknologi dan sumber daya manusia, serta mengidentifikasi kesenjangan penelitian. Metode: Mengikuti pedoman JBI dan PRISMA-ScR, tinjauan ini menelaah literatur dari ProQuest, ScienceDirect, BMC, dan sumber lain. Dari 961 artikel, 22 dipilih untuk telaah penuh, dan 10 dianalisis kritis (1 kualitatif, 1 cross-sectional, dan 8 quasi-eksperimental). Hasil: Kepatuhan dipengaruhi oleh kebijakan institusi, beban administratif, integrasi sistem, dan pelatihan. Sistem EHR yang tidak terintegrasi memperbesar kesalahan. Tantangan lain mencakup privasi data (HIPAA, GDPR) dan keterbatasan pelatihan. Ditemukan kesenjangan terkait efektivitas jangka panjang kepatuhan terhadap outcome pasien. Kesimpulan: Diperlukan pendekatan multidimensional, termasuk penguatan kebijakan, optimalisasi teknologi, dan pelatihan berkelanjutan. Automasi dan AI berpotensi mengurangi beban dokumentasi dan meningkatkan kepatuhan.</p>2025-04-22T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/3401Faktor-faktor yang Mempengaruhi Fungsi Kognitif pada Lansia2024-11-19T02:42:07+00:00Yosep Purnairawanyoseppurnairawan@gmail.com<p>Lansia merupakan suatu keadaan yang tidak bisa dihindari oleh manumur. Lansia biasanya ditandai dengan beberapa penurunan dan perubahan, seperti perubahan fisik, emosional, dan kehidupan sosial, termasuk gelaja-gelaja kemunduran fisik yang dialami dan menurunya daya ingat. Dukungan sosial dapat diartikan sebagai kondisi dimana adanya seseorang baik keluarga ataupun teman yang bisa memahami keadaan kita, memberikan kasih sayang, motivasi, dan juga mengingatkan kita. Tujuan penelitian: yaitu untuk mengetahui factor-faktor yang mempengaruhi fungsi kognitif pada lansia. Metode: Jenis penelitian kolerasional dengan pendekatan cross sectional, sampel berjumlah 174 orang menggunakan aksidental sampling. Tehnik pengambilan sampel menggunakan kuesioner Mini-Mental State Examination (MMSE). Analisis data bivariat menggunakan uji chi-square. Hasil: penelitian ini menunjukan nilai uji chi square hubungan umur dengan fungsi kognitif nilai p value 0,031, hubungan jenis kelamin dengan fungsi kognitif nilai p value 0,938, hubungan pendidikan dengan fungsi kognitif 0,007, dan hubungan dukungan sosial dengan fungsi kognitif nilai p value 0,035. Kesimpulan: ada hubungan yang signifikan antara umur, pendidikan, dan dukungan sosial dengan fungsi kognitif pada lansia di Wilayah Kerja Puskesmas Selabatu Kota Sukabumi.</p>2025-04-22T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2616Pengaruh Pemberdayaan Keluarga terhadap Peningkatan Pengetahuan dan Perilaku Pencegahan Penularan TB Paru Anak2024-09-15T17:17:33+00:00Tri Wiji Lestaritriwijilestari68@gmail.comLia Dwi Jayantiliadwijayantii@gmail.com<p>Tuberkulosis merupakan salah satu penyakit infeksi kronis yang menjadi permasalahan Kesehatan utama secara global termasuk Indonesia. Kejadian TB paru pada anak disebabkan oleh ketidakberhasilan pengobatan. Untuk meningkatkan pengetahuan dan perilaku pencegahan penularan TB Paru pada anak dapat dilakukan melalui pemberdayaan keluarga. Tujuan penelitian ini untuk mengetahui pengaruh pemberdayaan keluarga terhadap peningkatan pengetahuan dan perilaku pencegahan penularan TB paru pada anak. Penelitian ini menggunakan quasy eksperimental <em>quasy eksperiment</em> dengan <em>non randomized control group pre-posttest design</em>. Teknik pengumpulan data dengan wawancara menggunakan kuesioner, observasi, dan pengukuran. Data dianalisis menggunakan Uji <em>Wilcoxon Sign Rank Test</em>, <em>Mann-Whitney test</em>, dan <em>Spearman Rho</em>. Sampel adalah keluarga yang memiliki anak dengan TB sebanyak 31 orang, dibagi menjadi kelompok perlakuan dan kontrol. Hasil penelitian ini menunjukkan sebelum diberikan penyuluhan kesehatan pengetahuan dari 31 responden mayoritas dalam kategori cukup sebanyak 16 orang (51.7%) dengan hasil <em>pre-test</em> sikap dan perilaku mayoritas dalam kategori sifat positif sebanyak 16 orang (51.6%). Setelah diberikan penyuluhan kesehatan terjadi peningkatan dengan hasil pengetahuan baik mencapai 21 orang (67.7%), sikap dan perilaku meningkat sebanyak 18 orang (58.0%). Kesimpulan penelitian ini ada pengaruh penyuluhan kesehatan terhadap tingkat pengetahuan, sikap dan perilaku keluarga mengenai pencegahan penularan TB anak yaitu dengan nilai signifikasi p=0.000.</p>2025-05-30T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatanhttp://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1756Evaluasi Pembelajaran Carring: Sebuah Pengembangan Instrumen Evaluasi Pembelajaran Karakter bagi Calon Perawat2023-10-13T11:47:18+00:00Iis Aisyahiis.aisyah@upi.eduTedi Supriyaditedisupriyadi@upi.eduAyu Prameswari Kusuma Astutiayuastuti@upi.eduDini Saraswati Handayanidini.saraswati.handayan@unpad.ac.id<p>Pembelajaran karakter carring sebagai jantungnya keperawatan, dalam prosesnya meniscayakan kegiatan evaluasi yang harus dilakukan oleh dosen, namun demkian latar dengan latar belakang pendidikan dosen keperawatan yang tidak mendalami ilmu pedagogis bedampak pada kesulitan mereka dalam mengevaluasi capaian karakter caring dalam proses pembelajaran sehingga proses evaluasi pembelajaran masih terfokus pada ranah kognitif dan psikomotorik. Penelitian ini bertujuan untuk mengembangkan instrument evaluasi pembelajaran karakter carring. Penelitian ini menggunakan design 4D yang mencerminkan empat tahapan penelitian yakni define, design, developing dan diseminasi. Penelitian ini melibatkan 9 orang dosen dan 35 orang mahasiswa pada salah satu perguruan tinggi keperawatan yang cukup populer di provinsi Jawa Barat. Penelitian ini menghasilkan analisis Hasil uji validitas 84.6% pernyataan dinyatakan valid. Hasil uji reliabilitas diperoleh <em>alpha cronbach’s</em> sebesar 0.869. maka isntrumen termasuk dalam kriteria baik untuk digunakan.</p>2025-06-08T00:00:00+00:00Copyright (c) 2025 Jurnal Keperawatan