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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Economica: Jurnal Ekonomi Islam Jurnal Teknoinfo JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Contagion: Scientific Periodical Journal of Public Health and Coastal Health Jurnal Ners Jurnal Tekinkom (Teknik Informasi dan Komputer) Studi Kasus Inovasi Ekonomi Infotek : Jurnal Informatika dan Teknologi Reputasi: Jurnal Rekayasa Perangkat Lunak PELS (Procedia of Engineering and Life Science) Jurnal Kreativitas dan Inovasi (Jurnal Kreanova) JOINCS (Journal of Informatics, Network, and Computer Science) SAGA: Journal of Technology and Information Systems Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Electrical Engineering Smatika Jurnal : STIKI Informatika Jurnal
Irwan Alnarus Kautsar
Universitas Muhammadiyah Sidoarjo
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Task Technology Fit in Hemodialysis Care: A Comparative Evaluation of the Renalmu.com Application in Indonesian Hospitals Nisak, Umi Khoirun; Kautsar, Irwan Alnarus; Nugroho, Yahya Arif; Aditiawardana, Aditiawardana; Al-Tameemmi, Hamid
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 7, No 2 (2025): CONTAGION
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v7i2.24100

Abstract

Hemodialysis services are essential for patients with end-stage renal disease (ESRD), offering routine treatment to sustain health and enhance quality of life. As the prevalence of ESRD continues to rise, hemodialysis units must focus on delivering high-quality care, optimizing resource management, and ensuring patient satisfaction. To support these goals, this study employs a quantitative comparative design with a cross-sectional approach to assess the effectiveness of the Renalmu.com application in hemodialysis services. The study will include 30 respondents from two hospitals, with data analysed using the Mann-Whitney U test to compare key variables. Data collection is scheduled to begin in September 2024 and conclude in March 2025. Preliminary results from the Mann-Whitney U test indicate that while both hospitals reported similar experiences across most dimensions of the Renalmu.com application, a significant difference was observed in the Task Technology Fit (TTF) dimension of data quality. Hospital 1 demonstrated superior data quality, reflected by a U-value of 56.500 and a p-value of 0.013. No significant differences were found in other TTF dimensions, including task characteristics (non-routine, interdependence), site graphic attractiveness, privacy/security, interactivity, data locability, authorization, compatibility, product timeliness, reliability, ease of use, and user relationships. These findings suggest that the primary distinction between the two hospitals lies in the effective utilization of data quality to support clinical decision-making in hemodialysis treatment Keywords: Task-Technology Fit, Dialysis, Quality Service improvement
Faktor Determinan Penggunaan Aplikasi Renal Data Processor dalam Meningkatkan Kualitas Layanan Hemodialisis di Rumah Sakit Umi Khoirun Nisak; Irwan Alnarus Kautsar; Cholifah Cholifah
Jurnal Ners Vol. 9 No. 1 (2025): JANUARI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i1.32359

Abstract

Healthcare services are rapidly evolving with the integration of information technology, including in hemodialysis services. This study aims to identify factors influencing the adoption of the renal data processor application in improving the quality of hemodialysis services at RS Siti Khodijah Sepanjang. Using a quantitative design with a survey method, data were collected from 135 respondents consisting of medical staff in the hemodialysis unit and other medical staff. Data analysis was performed using SmartPLS to test the structural model and the influence between variables. The results show that perceived threat significantly affects the coping strategies used by users, with R² values of 0.815 for coping 3, 0.618 for coping 1, and 0.768 for coping 2. Perceived threat increases the adoption of active and proactive coping strategies, while individual factors can reduce the perception of threat. This study emphasizes the importance of understanding the factors influencing the acceptance and use of the renal data processor application to optimize its benefits and address existing barriers.
Utilizing Midtrans as A payment Gateway for Non-Cash Transactions Aditya, Mochammad Rizal; Kautsar, Irwan Alnarus
SAGA: Journal of Technology and Information System Vol. 3 No. 2 (2025): May 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v3i2.514

Abstract

 Increasingly, including payments in school e-canteens. One of the payment methods that can be used is to use a payment gateway such as Midtrans. This study aims to evaluate the use of Midtrans as a payment gateway for noncash transactions in school canteens using the waterfall method. This study uses the waterfall method to develop a payment system using Midtrans in the school canteen e-canteen. Data was collected through interviews with schools and e-canteen users as well as observations of the transaction process using Midtrans. Data analysis was performed using a qualitative descriptive method. This information system was built using the PHP programming language with the MSQL programming language and the Laravel framework using the SDLC (Systems development life cycle) method, which is a method that refers to the models and processes used to develop software systems and describe processes.    
Penerapan Metode Support Vector Machine (SVM) untuk Memprediksi Pemilihan Karir bagi Alumni UMSIDA Qur'ani, Meisyilia Difanada; Setiawan, Hamzah; Kautsar, Irwan Alnarus
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6630

Abstract

The success of a university is not only determined by its educational process but also by the ability of its graduates to get a job. The aim of this research is to develop and evaluate a predictive model using the Support Vector Machine (SVM) method to predict career choices for alumni of the Muhammadiyah University of Sidoarjo (UMSIDA) . This research uses a quantitative approach, in the topic of predicting sample data obtained from tracer data of Umsida students which is compiled into the title "Application of the Support Vector Machine (SVM) Method to Predict Career Choices for UMSIDA Alumni". The model evaluation results show that SVM has very good performance, with high precision, recall and f1-score for the dominant class. Feature importance analysis shows key features that have a significant influence on model decisions, providing valuable insight into the factors that influence alumni career choices. With an overall accuracy of 97%, this model is able to provide appropriate career recommendations for the majority of alumni.
Co-Authors Aditiawardana Aditiawardana, Aditiawardana Aditiawardana, Aditiawardana Aditya, Mochammad Rizal Agoeng Dwi Djoelianto Al-Tameemmi, Hamid Aljunza, Marshal Sheva Alvito Dian Pratama Putra Ananda Dwi Prasetyo Arif Senja Fitrani Arifin, Rudi Dian Arik Bagus Setyawan Aswin Damardono Azmuri Wahyu Azinar Bagus Dwi Kurniawan, Bagus Dwi Bayu Wardhana Candra Iswayudi Cholifah, Cholifah Cholifah, Cholifah Dian Berkah Diva Putri Anasya Elsaviyanto, Yumna Almnas Fery Febbyanto Hamzah Setiawan Ilmi, Laili Rahmatyul Isnawati, Retty Jagad Yudha Awali M. Purnomo Adji Saputro M. Ruslianor Maika MARIA BINTANG Mochamad Alfan Rosid Mochammad Naufal Nibros Mohammad Izzi Fajrin Mohammad Suryawinata Muhammad Qosdy Jauharul Arzaq Natasya, Nabila Insyira Naufal Galfan Syah Naufal, Dimas Fajar Nisak, Umi Khoirun Nugroho, Yahya Arif Nuril Lutvi Azizah Pratama, Nikko Enggaliano Qur'ani, Meisyilia Difanada RAMADHAN, MUHAMMAD FARHAN Rayhanantha Akbar Putra Prasetyo Retty Isnawati Rifqi Alfaesta Prawiratama Rohman Dijaya Salsabilah, Nadia Falakhis Setiawan, Hamzah Sigit Hermawan Sukma Aji Sumarno . Sumarno Sumarno Suprianto Suseno Ardiansyah Taurusta, Cindy Uce Indahyanti Umi Khoirun Nisak UTOMO, PRASETYO Wardhana, Bayu Wiwit Ardiansyah Yulian Findawati