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Prediction of Hospital Administration Study Program Students' Graduation Using Decision Tree C4.5: Prediction of Hospital Administration Study Program Students' Graduation Using Decision Tree C4.5 Samsinar, Samsinar; Sinaga, Rudolf; Afriany, Renny
ARUMAS Vol 2 No 2 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i2.109

Abstract

The timely graduation success of students is a crucial indicator in evaluating the quality of higher education institutions. This study aims to predict the graduation rate of undergraduate students in the Hospital Administration Program at STIKES Garuda Putih Jambi using the Decision Tree C4.5 algorithm. The data utilized includes the Cumulative Grade Point Average (CGPA) of 35 students over the first four semesters. The dataset was processed using RapidMiner to generate a prediction model with CGPA as the main variable. The model evaluation indicated an accuracy level of 73.33%. This classification model successfully categorized student graduation outcomes into three groups: satisfactory, very satisfactory, and with distinction. The findings of this study are expected to provide insights for better academic decision-making, as well as enhance the quality of evaluation and learning processes in higher education institutions.
Pengembangan Model Penilaian Kepatuhan Salah Satu Perguruan Tinggi Terhadap Standar ISO 27001:2022 Sinaga, Rudolf
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6850

Abstract

Information security systems are important for organizations, including universities, because they are a crucial aspect of today's digital world. In this context ISO 27001:2022 is an important standard. One of the universities in Jambi City  manages sensitive data, using various information systems such as student data, lecturers, finance, employees and research, this will certainly increase the complexity of information security system governance. The college also has an open academic community, consisting of students, alumni, faculty, and administrative staff, which provides opportunities for increased information system security risks, such as phishing and malware attacks. This study aims to develop an assessment model for the compliance of higher education organizations with ISO 27001:2022 standards and apply the model to one of the universities in Jambi City. Evaluations show that the universities has a high level of compliance with physical and environmental security, but areas such as information security policy, risk management, information assets, access control, network security, as well as security incident management require increased compliance. Recommendations for improvement and improvement are given for each area that requires more attention, according to the ISO 27001:2022 standard including the development of risk identification, risk management, identification of important information assets, protection of information assets, protection against network attacks, regular network security monitoring, procedures for developing effective event response, reporting of security events, and learning from events that occur. In conclusion, the development of one of the universities in Jambi City organization's compliance assessment model with the ISO 27001:2022 standard provides a comprehensive view of the level of compliance in various areas of information system security. Through the identification of weaknesses and the recommendations for improvement that are drafted, concrete steps can be taken to improve compliance and manage information system security more effectively.  
Penerapan Komputasi Kuantum dalam Kriptografi Modern dan Sistem Keamanan Digital Rudolf Sinaga; Uswatun Kasanah
Journal of New Trends in Sciences Vol. 1 No. 4 (2023): November : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i4.779

Abstract

Quantum computing has emerged as a revolutionary paradigm, holding immense potential to solve complex problems that classical computing struggles to address. This study explores the application of quantum computing in cryptography, with a specific focus on two major quantum algorithms: Shor’s algorithm for large number factorization and Grover’s algorithm for unstructured database searching. The main objective of this research is to compare the performance of these quantum algorithms with classical cryptographic methods in terms of computational efficiency and time. Shor’s algorithm, which can factorize large numbers in polynomial time, presents a significant threat to the security of public-key cryptosystems such as RSA, which rely on the difficulty of factoring large numbers. On the other hand, Grover’s algorithm offers a quadratic speedup for searching unstructured databases, making it highly relevant for symmetric key cryptography systems like AES. In this study, simulations of both algorithms were conducted using quantum simulators to assess their speed and effectiveness in solving cryptographic challenges. The results demonstrate that quantum algorithms significantly reduce the computation time compared to classical methods, with Shor’s algorithm efficiently solving factorization problems and Grover’s algorithm accelerating key searching processes. However, while these quantum algorithms show promise in improving cryptographic systems, the implementation of large-scale quantum computers remains a challenge. This research highlights the potential of quantum computing to revolutionize data security and underscores the need for further development in quantum algorithms and the transition to quantum-resistant cryptographic systems to safeguard against the threat posed by quantum computers.
Segmentasi Pasien Berbasis K-Means dari Tanda-tanda Vital dan Demografi : Pendekatan Unsupervised Learning untuk Profil Risiko Klinis Renny Afriany; Rudolf Sinaga; Samsinar Samsinar
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1811

Abstract

Digital transformation in the health system demands the use of clinical data more strategically to support evidence-based decision-making. This study aims to explore the application of the K-Means Clustering algorithm in patient segmentation based on a combination of vital signs (systolic and diastolic blood pressure) and demographic characteristics (age, weight, and gender). Data on 1,401 outpatients was obtained from the medical record system of a hospital in Indonesia, then processed through the stages of preprocessing, standardization, and dimensionality reduction using PCA. The results of the elbow method showed that the optimal number of clusters was 3 (k=3). Descriptive analysis showed that Cluster 0 consisted of 100% women with normal blood pressure (124/77 mmHg) and an average body weight of 55.6 kg; Cluster 1 consists of the majority of women with high blood pressure (160.8/98.8 mmHg); while Cluster 2 includes 100% of men with blood pressure leading to pre-hypertension (130.1/80.7 mmHg). PCA visualizations show fairly clear cluster separation, with Cluster 1 having the most clinically distinct characteristics. The conclusion of this study is that the K-Means-based unsupervised learning approach is effective in identifying latent risk patterns in patient populations, as well as the potential to support clinical risk mapping and preventive health policies. Future recommendations include the integration of this method in EMR systems and the expansion of studies on national datasets.
Meningkatkan Kompetensi Digital Guru SD melalui Pelatihan Desain Modul Ajar Kreatif dengan Canva di Kota Jambi Renny Afriany; Samsinar Samsinar; Rudolf Sinaga; Frangky Frangky; Ika Widyastuti
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 4 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i4.8851

Abstract

This community service activity aims to improve the digital competence and creativity of elementary school teachers in Jambi City through training in making teaching modules using the Canva platform. The main problem faced by teachers is the limited ability to design digital teaching materials that are attractive and in accordance with the demands of the Independent Curriculum. The training was held at SD Negeri 176 Jambi City on July 30, 2025 with interactive lectures, direct demonstrations, and independent practice. Participants consisted of elementary school teachers from several schools in Jambi City. Training materials include an introduction to Canva, the basic principles of educational graphic design, the creation of learning outcomes-based learning modules, and the publication of design results. Evaluation is carried out through pre-test and post-test, observation of participant activities, and assessment of the digital teaching module products produced. The results of the evaluation showed a significant improvement in participants' understanding and skills, with more than 90% of participants experiencing an increase in scores, and 85% stating that they would use Canva regularly in the preparation of teaching materials. In addition, participants showed high enthusiasm and produced teaching modules that were creative and contextual to the needs of students. This activity contributes to strengthening pedagogic competence, digital literacy, and learning innovation in the basic education environment, as well as being a concrete step to support the digital transformation of education in Jambi City.
FT Pelatihan Pembuatan Evaluasi Pembelajaran dengan Menggunakan Google Formulir bagi Guru SDN 96/IV Kota Jambi Sinaga, Rudolf; Afriany, Renny; Samsinar, Samsinar
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 8 No 1 (2024): Volume 8 Nomor 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v8i1.21813

Abstract

SD Negeri 96/IV is at Jalan Sunan Bonang RT. 32 Kel. Simpang III Sipin Kec. Kota Baru Jambi City. In the implementation of learning evaluation, teachers at this school apart from using the paper-based system, have also tried to use other media, such as Quiziz, and Google Forms. But in practice, it is still not used optimally, because the teachers have not gained good knowledge of the features and capabilities of each of these applications. Making learning evaluations is an important part of an effective learning process. Therefore, in the digital era, one of the most suitable media to use is Google Forms, because Google Forms can be used as a tool that can improve the quality and effectiveness in making learning evaluations or exam questions with several question models such as multiple choice, essay, and can add images and videos to the questions. Google Forms will also make it easier for teachers to collect and analyze exam data. Community service at this school was carried out in March 2023. Activities are carried out using presentation, training, and evaluation methods. The conclusions obtained through this community service activity are: 1. Improve teachers' understanding at SDN 96/IV about the features and capabilities of Google Forms, 2. Improve teachers' knowledge at SDN 96/IV in making learning evaluations using Google Forms.