Article Per Year (5 Year)
p-Index From 2020 - 2025
0.882
P-Index
This Author published in this journals
All Journal Ekonomi dan Bisnis Jurnal Health Sains INSANtek – Jurnal Inovasi dan Sains Teknik Elektro Journal of Applied Nursing and Health
Suryanto , Suryanto
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Veterinary

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Perlindungan Data Digital Dengan Time-Based One-Time Password (TOTP) Wibawa, Sigit; Suryanto , Suryanto; Ningsih , Rahayu
INSANtek Vol 5 No 1 (2024): Mei 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/insantek.v5i1.3495

Abstract

Keamanan autentikasi pengguna sangat penting dalam perlindungan data digital. Metode autentikasi tradisional, seperti kata sandi statis, sering rentan terhadap serangan phishing, brute force, dan pencurian kata sandi, yang menyebabkan lebih dari 80% pelanggaran keamanan. One-Time Password (OTP) menawarkan solusi lebih aman dengan kata sandi yang hanya berlaku untuk satu sesi atau transaksi, mengurangi risiko penyalahgunaan. Penelitian ini mengembangkan dan mengimplementasikan sistem OTP menggunakan Python, serta mengevaluasi keunggulannya dibandingkan metode autentikasi lainnya. Kami menggunakan library pyotp untuk menghasilkan Time-based OTP (TOTP) dan mengintegrasikannya dengan framework web Flask untuk membuat server autentikasi. Hasil penelitian menunjukkan bahwa OTP mengurangi risiko serangan phishing hingga 90% dan meningkatkan keamanan dibandingkan kata sandi statis hingga 75%. Selain itu, OTP menawarkan fleksibilitas dan kemudahan integrasi dengan berbagai aplikasi melalui API. Keamanan Tinggi: OTP memberikan lapisan keamanan tambahan yang sulit ditembus oleh pihak yang tidak berwenang. Kemudahan Implementasi Integrasi antara pyotp dan Flask cukup sederhana dan cepat untuk diimplementasikan. Pengguna hanya perlu menggunakan aplikasi OTP yang umum seperti Google Authenticator untuk memverifikasi identitas mereka.
Understanding Family Business Dynamics: The Role of Family Business Embeddedness and Organizational Justice in Reducing Turnover Intention through Job Satisfaction Tata Kartikasuri, Dyan; Suryanto , Suryanto
Ekonomi dan Bisnis Vol 11 No 2 (2024): EKONOMI DAN BISNIS
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35590/jeb.v11i2.8443

Abstract

Family businesses are unique business entities due to the complex interplay between family and business factors. In family businesses, companies are owned, operated, and controlled by family members, often creating interpersonal dynamics not found in non-family businesses. This study aims to explore the impact of family business embeddedness and organizational justice on turnover intention, both directly and indirectly, through job satisfaction as a mediator. The method used in this research is quantitative, with a sample size of 68 respondents. The results of this study reveal that family business embeddedness has a positive and significant effect on job satisfaction and a negative and significant effect on turnover intention. Organizational justice has a positive and significant effect on job satisfaction and a negative and significant effect on turnover intention. Job satisfaction negatively and significantly affects turnover intention. Furthermore, there is a significant impact of family business embeddedness and organizational justice on turnover intention through job satisfaction. Practical and theoretical implications, as well as the limitations of the study, are discussed in this research.
Mortality Predictors in Trauma Patients in an Indonesian Emergency Department: A Retrospective Cohort Study Widiyawati, Kholisah; Lestari, Retno; Suryanto , Suryanto
Journal of Applied Nursing and Health Vol. 7 No. 2 (2025): Journal of Applied Nursing and Health
Publisher : Chakra Brahmanda Lentera Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55018/janh.v7i2.303

Abstract

Background: especially in low- and middle-income nations. Identifying mortality-related factors in trauma patients is essential to enhance early management and reduce death rates. This retrospective cohort study follows the STROBE guidelines and analyzes factors associated with mortality among trauma patients in the emergency department (ED) of a resource-limited setting. Methods: This study included 356 trauma patients who presented to the ED of Bina Sehat Hospital in Jember between February 2023 and February 2025. Data were collected from electronic medical records. The variables assessed included age, gender, mean arterial pressure (MAP), systolic blood pressure, oxygen saturation, Glasgow Coma Scale (GCS), mechanism of trauma, and Revised Trauma Score (RTS). Bivariate and multivariate logistic regression analyses were conducted. A flow diagram was used to depict participant selection, and missing data were excluded listwise. Inter-rater agreement was ensured through standardized training of data collectors.. Results: Of 356 patients, 88.5% survived and 11.5% died. Bivariate analysis indicated that age, oxygen saturation, GCS, and RTS were significantly related to mortality (p < 0.001). Multivariate analysis identified that a low RTS (p = 0.002), a low GCS (p < 0.001), and high MAP (p = 0.041) were independent predictors of mortality. The RTS had the strongest association with mortality, reducing odds by 91.8% per unit increase. Conclusion: RTS is the most robust predictor of mortality in trauma patients in this resource-limited ED setting. Implementing RTS in triage protocols may enhance early risk identification and guide targeted interventions. A multicenter validation is recommended.
Perlindungan Data Digital Dengan Time-Based One-Time Password (TOTP) Suryanto , Suryanto; Ningsih , Rahayu; WIBAWA, SIGIT
INSANtek Vol. 5 No. 1 (2024): Mei 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/insantek.v5i1.3495

Abstract

Keamanan autentikasi pengguna sangat penting dalam perlindungan data digital. Metode autentikasi tradisional, seperti kata sandi statis, sering rentan terhadap serangan phishing, brute force, dan pencurian kata sandi, yang menyebabkan lebih dari 80% pelanggaran keamanan. One-Time Password (OTP) menawarkan solusi lebih aman dengan kata sandi yang hanya berlaku untuk satu sesi atau transaksi, mengurangi risiko penyalahgunaan. Penelitian ini mengembangkan dan mengimplementasikan sistem OTP menggunakan Python, serta mengevaluasi keunggulannya dibandingkan metode autentikasi lainnya. Kami menggunakan library pyotp untuk menghasilkan Time-based OTP (TOTP) dan mengintegrasikannya dengan framework web Flask untuk membuat server autentikasi. Hasil penelitian menunjukkan bahwa OTP mengurangi risiko serangan phishing hingga 90% dan meningkatkan keamanan dibandingkan kata sandi statis hingga 75%. Selain itu, OTP menawarkan fleksibilitas dan kemudahan integrasi dengan berbagai aplikasi melalui API. Keamanan Tinggi: OTP memberikan lapisan keamanan tambahan yang sulit ditembus oleh pihak yang tidak berwenang. Kemudahan Implementasi Integrasi antara pyotp dan Flask cukup sederhana dan cepat untuk diimplementasikan. Pengguna hanya perlu menggunakan aplikasi OTP yang umum seperti Google Authenticator untuk memverifikasi identitas mereka.
Comparison of Sensitivity, Specificity, and Accuracy of ISS, RTS, and TRISS Instruments in Predicting Mortality of Trauma Patients Tianda, Fenny; Kumboyono , Kumboyono; Suryanto , Suryanto
Jurnal Health Sains Vol. 5 No. 5 (2024): Journal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v5i5.1274

Abstract

This study aims to compare the effectiveness of three trauma scoring systems—Injury Severity Score (ISS), Revised Trauma Score (RTS), and Trauma and Injury Severity Score (TRISS)—in predicting mortality among trauma patients at Inche Abdoel Moeis Regional General Hospital Samarinda's emergency room. Trauma assessment tools are crucial for reducing mortality rates and enhancing patient outcomes. While ISS focuses on anatomical factors, RTS integrates physiological parameters, and TRISS combines both for a comprehensive evaluation. Previous research suggests their effectiveness in mortality prediction, albeit with variations in performance. The absence of a dedicated trauma assessment system at the hospital underscores the urgency of this research. By evaluating the performance of ISS, RTS, and TRISS, this study aims to inform clinical practice and enhance trauma patient management, ultimately reducing mortality rates and improving outcomes in the emergency room setting. The study's methodology involves retrospective analysis of trauma patient data, including demographics, injury characteristics, and outcomes. Statistical analysis will compare the performance of the three scoring systems in predicting mortality with implications for trauma care protocols and resource allocation. Results will contribute to evidence-based decision-making in emergency room settings, facilitating more accurate triage and treatment strategies for trauma patients.
Co-Authors Kumboyono , Kumboyono Ningsih , Rahayu Retno Lestari Tata Kartikasuri, Dyan Tianda, Fenny Wibawa, Sigit Widiyawati, Kholisah