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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.
Task Technology Fit in Hemodialysis Care: A Comparative Evaluation of the Renalmu.com Application in Indonesian Hospitals Umi Khoirun Nisak; Irwan Alnarus Kautsar; Yahya Arif Nugroho; Aditiawardana Aditiawardana; Hamid Al-Tameemmi
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
Penerapan Metode National Intitute Of Justice Dalam Pemulihan Data Pada Flashdisk andhika andhika; Azmuri Wahyu Azinar; Irwan Alnarus Kautsar; Suprianto
SemanTIK : Teknik Informasi Vol. 11 No. 1 (2025): Vol. 11 No. 1 (2025): SemanTIK Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i1.84

Abstract

Flashdisk adalah perangkat penyimpanan portabel berbasis memori flash yang digunakan untuk menyimpan, memindahkan, dan mencadangkan data. Meski praktis, perangkat ini rentan terhadap kejahatan digital, seperti pencurian data, penghapusan data tidak sah, dan penyalahgunaan informasi. Untuk mengatasi ancaman ini, metode pemulihan data yang efektif sangat diperlukan. Salah satu metode yang digunakan dalam forensik digital adalah metode dari National Institute of Justice (NIJ), yang mencakup tahapan persiapan, pengumpulan, identifikasi, pemeriksaan, analisis, dan pelaporan. Tujuan penelitian ini untuk menguji efektivitas metode NIJ dalam memulihkan data yang hilang dari flashdisk. Dengan menggunakan tools seperti FTK Imager, Autopsy, dan WinMd5, file yang dihapus melalui Shift + delete dan quick format berhasil dipulihkan. Meski nama file berubah, ekstensi, ukuran, dan nilai hash MD5 tetap sama seperti aslinya, menunjukkan file tidak dimodifikasi. Kesimpulannya, metode NIJ efektif memulihkan dan menganalisis bukti digital dari flashdisk. A flash drive is a portable storage device based on flash memory used for storing, transferring, and backing up data. While practical, it is vulnerable to digital crimes such as data theft, unauthorized data deletion, and information misuse. To address these threats, an effective data recovery method is essential. One method commonly used in digital forensics is the National Institute of Justice (NIJ) method, which includes preparation, collection, identification, examination, analysis, and reporting stages. This study evaluates the effectiveness of the NIJ method in recovering lost data from flash drives. Using tools such as FTK Imager, Autopsy, and WinMd5, files deleted through Shift + Delete and quick format were successfully recovered. Although file names changed, the file extensions, sizes, and MD5 hash values remained the same as the originals, indicating that the files were not modified. In conclusion, the NIJ method is effective in recovering and analyzing digital evidence from flash drives