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All Journal Jurnal Teknik Komputer AMIK BSI Jurnal Ilmu Manajemen dan Akuntansi Terapan
Ady Hermawan
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Computer Science & IT Economics, Econometrics & Finance

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Analisis Algoritma Klasifikasi C 4.5 Untuk Memprediksi Keberhasilan Immunotherapy Pada Penyakit Kutil Ady Hermawan; Ardi Ramadhan Sukma; Riqardi Halfis
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.044 KB) | DOI: 10.31294/jtk.v5i2.4851

Abstract

Maintaining skin health is one thing that is also needed. Not only health from inside, health from the outside must also be considered. There are so many skin problems that arise in the human body. Wart disease is characterized by small bumps on the surface of the skin which are generally caused by the Human Papiloma Virus (HPV) virus. One technique for treating wart disease is immunotherapy, this method is a treatment by increasing the immune system to deal with wart disease. Clinical predictions are growing very rapidly by adopting computer science and information technology in managing health and drug data, this clinical prediction can be produced from processing using data mining methods. Data mining is a popular method used to explore patterns or knowledge from large data stacks. C 4.5 algorithm which is one of the decision tree induction algorithms is also a method of data mining algorithms used to classify. This study aims to predict the success rate of immunotherapy treatment methods on wart disease with algorithm C 4.5 using RapidMiner. From the study it was known that the accuracy rate for processing immunotherapy data on wart disease to predict its success using the C 4.5 algorithm of 74.07%.
Work Discipline Implementation Strategy to Improve the Productivity of Daily Contract Employees in the Traffic Division of the Semarang City Transportation Agency Ady Hermawan; Adhitya Yoga Prasetya
Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT) Vol. 15 No. 2 (2024): Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT)
Publisher : Sekolah Tinggi Ilmu Ekonomi Totalwin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36694/jimat.v15i2.746

Abstract

This study investigates the implementation strategy of work discipline as a means to improve the productivity of daily contract employees in the Traffic Division of the Semarang City Transportation Agency. Work discipline is a critical component of human resource management that influences performance effectiveness and organizational efficiency. The research applies a qualitative descriptive approach using interviews, observation, and document analysis to examine discipline practices, attendance data, and managerial supervision. The results show that effective disciplinary implementation—through structured supervision, reward and punishment systems, continuous coaching, and welfare enhancement—significantly improves employee productivity. Leadership quality, motivation, and consistent policy enforcement emerge as primary determinants of disciplined behavior. The study concludes that establishing a fair and transparent disciplinary system can foster accountability, punctuality, and professional service delivery among public employees.
Co-Authors Adhitya Yoga Prasetya Andre Resta Ferdian Ardi Ramadhan Sukma Azman Bambang Satriawan Dewi, Nolla Puspita Febrianto Rinaldi Indrayani Muammar Khaddafi Prihandani Riqardi Halfis