Article Per Year (5 Year)
p-Index From 2021 - 2026
3.186
P-Index
This Author published in this journals
All Journal WARTA JURNAL PENDIDIKAN KEPERAWATAN INDONESIA Ikonomika : Jurnal Ekonomi dan Bisnis Islam International Business and Accounting Research Journal JIAFE (Jurnal Ilmiah Akuntansi Fakultas Ekonomi) JRA: Jurnal Riset Akuntansi Jurnal Keperawatan dan Kesehatan Jurnal Pengabdian Masyarakat Bumi Raflesia Indonesian Community Service and Empowerment Journal (IComSE) Bioscientist : Jurnal Ilmiah Biologi MAHESA : Malahayati Health Student Journal JRAP (Jurnal Riset Akuntansi dan Perpajakan) Journal of Artificial Intelligence and Digital Business Jurnal Keperawatan 'Aisyiyah Innovative: Journal Of Social Science Research Sahabat Sosial: Jurnal Pengabdian Masyarakat International Journal of Health Sciences Jurnal Riset Keperawatan dan Kesehatan
Surtikanti Surtikanti
Balai Penelitian Tanaman Serealia, Maros
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Using Thermography Infrared to Detect Diabetic Foot Ulcers in Asia Pacific Countries: Scoping Review Haryanto, Haryanto; Surtikanti, Surtikanti; Ramadhaniyati, Ramadhaniyati; Junaidi, Junaidi; Ervita, Ledy; Magdalena, Maria; Oe, Makoto
Jurnal Pendidikan Keperawatan Indonesia Vol 10, No 1 (2024): Volume 10, Nomor 1, Juni 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpki.v10i1.71110

Abstract

Introduction: Diabetes Mellitus (DM) is a growing global health concern, particularly in Indonesia, where the prevalence is projected to rise significantly. Diabetic Foot Ulcer (DFU) is a severe complication of DM that escalates the risk of amputations. Early detection of DFUs plays a crucial role in preventing associated complications Objective: This review aimed to assess the efficacy of infrared thermography in detecting DFUs in the Asia-Pacific region. Methods: A scoping review methodology adhering to PRISMA guidelines was employed. Databases were searched from 2011-2021. PICO strategy used keyword Diabetic foot ulcer, Skin ulcer, Leg ulcer, Foot ulcer, Diabetic neuropathic, Thermography, Temperature mapping, and Detection from PubMed, Scopus, Google Scholar, and Science Direct. Quality of article assessed by JBI. Results: Four (4) studies meeting the inclusion criteria were identified, primarily cross-sectional in design. The results indicated promising sensitivity and specificity of infrared thermography in detecting DFUs among DM patients. The technology's ability to capture thermal images revealing temperature variations associated with tissue inflammation, a common DFU indicator, underscores its efficacy. This non-invasive technique allows for early detection and monitoring of DFUs, facilitating timely interventions and improving patient outcomes. Additionally, infrared thermography provides a quantitative and objective assessment of tissue health, complementing traditional visual inspection and palpation methods. Its effectiveness lies in detecting subtle skin temperature changes, aiding in early identification and management of DFUs before they progress to more severe stages. Conclusion: Infrared thermography shows significant potential in detecting DFUs early, which is vital for effective management and prevention of severe complications. Despite the promising results, broader and more rigorous studies are necessary to validate these findings across different populations and healthcare settings. Further research across diverse settings and study designs is essential to reinforce these findings.
Development and Preliminary Validation of NIHSS-SDKI and CNS-SDKI Tools for Nursing Diagnosis in Stroke Care Fitriana, Erlis Eka; Haryanto, Haryanto; Supriadi, Supriadi; Hastuti, Lidia; Surtikanti, Surtikanti
Jurnal Pendidikan Keperawatan Indonesia Vol 11, No 1 (2025): Volume 11, Nomor 1, Juni 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpki.v11i1.75627

Abstract

Introduction: Accurate assessment of stroke severity is a critical component of nursing care. The NIHSS and CNS are standardized neurological instruments commonly used to evaluate stroke severity. Integrating NIHSS and CNS with the Indonesian nursing diagnosis standard (SDKI) offers practical benefits for nurses, as SDKI is tailored to the conditions of patients in Indonesia. Objective : The objective of this study is to evaluate the effectiveness of combining NIHSS and CNS severity assessments with SDKI in improving the accuracy of nursing diagnoses and determining stroke severity in patients. Methods: The research design used was Randomized Controlled Trial (RCT), single blind. The sample consisted of 55 stroke patients admitted to the neurological care unit using probability sampling technique with a simple random sampling approach, where sampling was carried out in accordance with predetermined inclusion criteria: non hemorrhagic stroke patients, respondents' age 18 years, and willing to become research subjects. Assessment of severity was carried out using the NIHSS and CNS instruments, which were combined with the SDKI to determine nursing diagnoses. Assessment was carried out for 5 days of patient care. Results: Mann-Whitney test analysis in the NIHSS group and CNS group showed a p-value (0.05), meaning that there was no difference between the application of NIHSS and CNS assessment on determining the degree of severity and the number of nursing diagnoses in stroke patients. Conclusions: This study shows that both NIHSS-SDKI and CNS-SDKI are effective in detecting changes in the clinical condition of stroke patients from day one to day five. 
Sistem Absensi Digital Berbasis Android Menggunakan Barcode Scanner Saputra, Eko Yulia; Surtikanti, Surtikanti
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.7380

Abstract

Pencatatan kehadiran siswa di Madrasah Tsanawiyah Fathul Ibaad Mekar Bakti saat ini masih dilakukan secara konvensional menggunakan buku absensi fisik, yang mengakibatkan tingginya risiko kesalahan pencatatan, keterlambatan dalam pelaporan harian, serta minimnya transparansi informasi bagi orang tua siswa. Penelitian ini bertujuan untuk merancang dan mengimplementasikan solusi digital berupa sistem absensi berbasis Android yang mengintegrasikan teknologi Barcode Scanner untuk mengotomatisasi proses kehadiran secara akurat. Pengembangan sistem ini menerapkan metodologi Extreme Programming (XP) yang mencakup fase perencanaan, perancangan, pengkodean, dan pengujian secara iteratif guna memastikan perangkat lunak adaptif terhadap kebutuhan institusi. Aplikasi ini dibangun menggunakan framework Flutter dengan bahasa pemrograman Dart, serta memanfaatkan layanan basis data NoSQL Cloud Firestore untuk memfasilitasi sinkronisasi data secara real-time kepada tiga level pengguna utama: admin sekolah, guru kelas, dan wali murid. Pengujian sistem dilakukan melalui metode Black Box Testing untuk validasi fungsionalitas dan System Usability Scale (SUS) untuk mengukur aspek ketergunaan dari perspektif pengguna. Hasil evaluasi fungsional menunjukkan seluruh fitur sistem beroperasi sesuai rancangan, sementara hasil pengujian usabilitas memperoleh skor rata-rata 83,5, yang menempatkan sistem dalam kategori “Excellent”. Kesimpulannya, implementasi sistem ini secara signifikan mampu meningkatkan efisiensi operasional manajemen kehadiran siswa dan menyediakan akses pemantauan yang transparan bagi orang tua secara instan, sehingga memperkuat sinergi pengawasan antara pihak sekolah dan wali murid dalam ekosistem pendidikan digital.
Co-Authors Achmad, Viyan Septiyana Afritayeni, Afritayeni Almumtahanah, Almumtahanah Amanda, Kintan Amelia, Lince Annisa Rahmawati April Artinanda Aryati Prasetyarini Astin Nur Hanifah AWS, Rinzany Megasari Azbi, Raihan Muhammad Bhakti, Wida Kuswida Cau Kim Jiu Dadang Sadeli Darwis, Amelia Dean Subhan Saleh Dewi Permatasari, Dewi Djaswadi Dasuki Dunggio, Abdul Rivai Saleh Ekawardhani, Yully Ambarsih Eprilia, Ummi Hany Ervita, Ledy Febriyanti, Indriani Ferawati Fitriagustiani, Fitriagustiani Fitriana, Erlis Eka Grima, Simon Gusmiah, Tisa Handayani, Sri Harfika, Meiana Hartono Hartono Haryanto Haryanto Hasria Alang Hassan, Faez M. Hidayah, Hidayah Hoda, Ferdinandus Suban Indri Erwhani Joko Supriyanto Junaidi Junaidi Junniyawati, Erika Kalam, Rizalul Karnely, Karnely Khairillah, Yuyun Nisaul Kusumah, Erwin Indra Larasati, Yarry Septia Lestari Makmuriana Lilis Puspitawati Lubis, Halimatussakdiyah Lukita, Yenni Mardiyani, Ridha Maria Magdalena Miftahudin, Erwin Muhammad Yunus Mutiara Hikmah Nur Hidayat Oe, Makoto Oktaviani, Rizka Ully Pannyiwi, Rahmat Pramesti, Novianindi Arrin Pratiwi, Cici Purnamawati, Ditha Astuti Puspita, Dinarwulan Rahmat Rahmat Ramadhaniyati, Ramadhaniyati Rina, Maria Feri Sambo, Sri Wahyuni Sani, Santi Saputra, Eko Yulia Sari Damayanti, Sari Sibarani, Thomas Junior Sri Ariyanti Sri Dewi Anggadini Sri Wahyuni Supriadi Supriadi Surianti Surianti, Surianti Suryadi, Yerdaniati Putri Suryana, Nanang Susetyo, Dwinanto Priyo Treasa, Adisty Dwi tri wahyuni Triwahyuni, Adelia Wardati, Weni Wijayanti, Lumastari Ajeng Zulham Zulham