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All Journal Teknika Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) International conference on Information Technology and Business (ICITB) jurnal Teknologi Informasi Magister Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research INTEGER: Journal of Information Technology Jurnal Teknoinfo Jurnal Cendikia CCIT (Creative Communication and Innovative Technology) Journal Building of Informatics, Technology and Science JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pengabdian Masyarakat Formosa (JPMF) Jurnal Publika Pengabdian Masyarakat
handoyo widi nugroho
Institut Informatika Dan Bisnis Darmajaya
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
Comparative Evaluation of Decision Tree and Random Forest for Lung Cancer Prediction Based on Computational Efficiency and Predictive Accuracy Iskandar, Muhammad Yashlan; Nugroho, Handoyo Widi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4877

Abstract

Early detection of lung cancer is essential for improving treatment outcomes and patient survival rates. This paper presents a comparative evaluation of two classification algorithms: Decision Tree and Random Forest, focusing on both predictive performance and computational efficiency. The models were tested using 10-fold cross-validation to ensure robustness. Both algorithms achieved the same accuracy of 93.3%. However, Random Forest slightly outperformed Decision Tree in recall (88.8% vs. 87.9%), F1-score (92.2% vs. 92.1%), and AUC (0.94 vs. 0.91), while Decision Tree obtained higher precision (97% vs. 95.9%). In terms of computational efficiency, Decision Tree demonstrated faster training and testing times, lower memory usage, and reduced energy consumption compared to Random Forest. The results reveal a clear trade-off between prediction quality and resource usage, highlighting the importance of selecting algorithms not only for their accuracy but also for their practicality in real-world healthcare scenarios. This comprehensive evaluation provides valuable insights for developing intelligent decision support systems that are both effective and resource-efficient, especially in environments with limited computing capacity. These findings contribute to the advancement of resource-aware intelligent systems in the field of medical informatics.
ARCHITECTURAL DESIGN OF THE SCHOOL ACADEMIC SYSTEM (E_MENGAJAR) USING THE OPEN GROUP ARCHITECTURE FRAMEWORK (TOGAF) AT SMPN 1 PAGELARAN PRINGSEWU DISTRICT Yulian, Hengky; Nugroho, Handoyo Widi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2130

Abstract

This research aims to design the architecture of a school academic system called E-Teaching at SMPN 1 Pagelaran, Pringsewu Regency, using the Open Group Architecture Framework (TOGAF) framework. This approach was chosen to ensure that the resulting system has a solid structure, is reliable, and is well integrated with the school's business processes. The research method used includes the main stages of TOGAF, namely Preliminary Phase, Architecture Vision, Business Architecture, Information Systems Architecture, Technology Architecture, and Opportunities and Solutions. The results of this research are in the form of an architectural model that includes main components such as student data management, learning administration, academic evaluation, and integration with the school management information system. The implementation of E-Teaching is expected to increase operational efficiency, simplify administrative processes, and support the overall learning process at SMPN 1 Pagelaran. The findings from this research provide a significant contribution to the development of academic information systems in secondary education environments, and show that the application of TOGAF can provide effective results in system architecture design.
Co-Authors - Nurjoko Abda Abda Abdi Darmawan Abdul Lathif Sampurna, Abdul Lathif Agung Purwanto Alexander, Ganesis Andani, Bethania Andani, Mia Andrean Danofic Anwar, Mashuril Besti Lilyana, Besti Destanto, Tri Effendi, Mukhammad Khoirul Febri Suganda Ginting, Resa Flanika Br Goesderilidar Hary Sabita Idris Asmuni Iskandar, Muhammad Yashlan ismail, Rendy Kristyanto, Andi Kurniawan, Putra M Said Hasibuan Muhamad Muslihudin Muhammad Nur Ikhsanto, Muhammad Nur Mukhlisin Mukhlisin Omega, Jessica Anatasya Riko Herwanto Rini Nurlistiani Sadimin Sadimin Sefriyanto, Eka Siti Mukodimah Susanti, Yus Sutedi Sutedi Triloka, Joko Wasilah Wasilah Windari, Ratih Y. Suhendro Yan Aditiya Pratama Yulian, Hengky Yuniwati Yuniwati, Yuniwati Yusuf, Suhendro Zatika, Dinda Anna