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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik Sebatik Jurnal Nasional Komputasi dan Teknologi Informasi Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Just TI (Jurnal Sains Terapan Teknologi Informasi) TEPIAN Journal of Social Responsibility Projects by Higher Education Forum Informatika Wicida
Harpad, Bartolomius
STMIK Widya Cipta Dharma
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Neuroscience Social Sciences Transportation

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Penerapan Metode EDAS Dalam Pemilihan Wirausaha Muda Terbaik dengan Pembobotan ROC Salmon Salmon; Bartolomius Harpad; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6066

Abstract

An entrepreneur is a person or actor who has created a new business by taking on most of the risks that will occur and enjoying most of the rewards. Entrepreneurship aims to create or create a job field so that it can help another person's work and to train a job so as to create other people's welfare. A young entrepreneur is someone who is skilled in taking advantage of an opportunity to develop his business in order to improve life in a good direction. Young entrepreneurs should have criteria in running an entrepreneur such as: optimistic, innovative, creative and leadership. So the calculations from the research above use the Evaluation Based On Distance From Average Solution or EDAS method of weighting Rank Order Centroid (ROC) there are 10 alternatives and 4 criteria so that a higher decision value can be produced by Saiful (A1) first rank with value 1.
Analisis Perbandingan metode Teorema Bayes dan CF dalam Mendiagnosa Gejala Penyakit Demam Berdarah Dengue Bartolomius Harpad; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6776

Abstract

Dengue Hemorrhagic Fever (DHF) is a potentially hazardous condition and a health concern in various tropical countries. To accurately and swiftly detect this disease, various diagnostic methods have been developed. The incidence of DHF can fluctuate from year to year, influenced by factors such as weather changes, vector control efforts, and socio-economic aspects. In Indonesia, there have been significant outbreaks of DHF in certain years. In this study, the Author conducted a comparison between the Bayesian Theorem method and the Certainty Factor (CF) method to diagnose DHF symptoms. The Bayesian Theorem calculates the probability of the disease based on symptoms, while the Certainty Factor employs a confidence level to link symptoms with the disease. Symptom data from previous DHF patients were collected, and both methods were utilized to diagnose these cases. The analysis results indicate that both methods have their respective strengths and limitations in terms of accuracy and speed. The Bayesian Theorem is accurate when complete symptom data is available, while the Certainty Factor is useful when data is incomplete or uncertainty exists. Both methods can be used concurrently based on context. This research illustrates the application of statistical analysis and data-driven approaches to enhance DHF diagnosis, also stimulating the development of advanced combined methods in the future. This study provides insights into the use of probabilistic approaches and confidence-based logic in DHF diagnostic development. Both methods can be applied interchangeably or in conjunction, depending on data and case characteristics. The results of applying the Bayesian Theorem and Certainty Factor show that the Bayesian Theorem yields 57.29%, while the Certainty Factor achieves 94.47% accuracy in diagnosing DHF.
Co-Authors Ahmad Fahrijal Pukeng Ahmad Rofiq Hakim Aldy Septian Derry Amelia Yusnita Azahari Christianus Pakembongan Dicky Rifaldi Ekawati, Hanifah Fadillah Candrika Pratama Helda Priscila Ita Arfyanti Ita Arfyanti Meilinda Wulandari Muhamad Almazazi Metekohy Muhammad Sirajul Amin Mubarak Nizar Kharismi Nurhuda, Asep Ramadhani Suciansyah Ramadhani Suciansyah Reza Andrea Rizky Meizal Saputra Salmon Salmon Sony Darmawan Sunarto Syafriadi Meidianta Uleh Lod Yohanes Rombe Paran Yunita Yunita