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Optimization of Application of Genetic Algorithm Using C4.5 Method to Predict Breast Cancer Disease Hartana Wijaya
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.944 KB) | DOI: 10.32877/bt.v2i1.82

Abstract

Cancer is a big challenge for humanity. Cancer can affect various parts of the body. This deadly disease can be found in humans of all ages. However, the risk of cancer increases with age. Breast cancer is the most common cancer among women, and is the biggest cause of death for women. Then there are problems in the detection of breast cancer, causing patients to experience unnecessary treatment and huge costs. In a similar study, there were several methods used but there were problems due to the shape of nonlinear cancer cells. The C4.5 method can solve this problem, but C4.5 is weak in terms of determining parameter values, so it needs to be optimized. Genetic Algorithm is one of the good optimization methods, therefore the parameter values ??of C4.5 will be optimized using Genetic Algorithms to get the best parameter values. The results of this study are that C4.5 Algorithm based on genetic algorithm optimization has a higher accuracy value (96%) than only using the C4.5 algorithm (94.99%) and which is optimized with the PSO algorithm (95.71%). This is evident from the increase in the value of accuracy of 1.01% for the C4.5 algorithm model that has been optimized with genetic algorithms. So it can be concluded that the application of genetic algorithm optimization techniques can increase the value of accuracy in the C4.5 algorithm.
Decision Support System Best Cage Selection for Chicken Raising Pandika Andio Efendi; Riki Riki; Hartana Wijaya; Indah Fenriana
bit-Tech Vol. 4 No. 1 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i1.235

Abstract

Chicken farming is considered not to require the application of an information system, however, the application of a decision-making system can increase the chances of getting bigger profits. In one time raising chickens requires large capital and the right time when planning sales. Therefore, the selection of decisions is an important factor in an ongoing business. Companies often experience losses which, although not too large, but also occur sustainably will affect the company's finances. It is hoped that the chicken rearing decision support system can also assist in managing the data that comes into the company. Decision support systems will be used in business to help meet company targets and reduce risk. Electre stands for Elimination and Choice Translating Reality which is a method of determining the ranking order through pairwise comparisons between alternatives and the appropriate criteria. Standardization and the use of complete data in decision making can increase the percentage of profit and satisfaction which increases partner integrity
Teknologi Pengenalan Suara tentang Metode, Bahasa dan Tantangan: Systematic Literature Review Hartana Wijaya
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1888

Abstract

Dengan kemajuan teknologi kecerdasan buatan (AI) dan pembelajaran mesin, teknologi pengenalan suara akan terus berkembang. Dalam penelitian ini, akan dilakukan penelitian SLR (Systematic Literature Review) tentang pengenalan suara untuk mencari pembahasan tentang metode yang dipakai, bahasa yang diuji serta hambatan dan tantangan yang sering dihadapi. Sebanyak 2.400 artikel dikumpulkan dari 2 sumber data elektronik yang bersumber dari Scopus dan Semantic Scholar serta dalam rentang tahun 2020-2024, lalu disaring karena adanya duplikasi, tahapan kriteria inklusi dan eksklusi dan tahapan penilaian kualitas, sehingga didapat sekitar 32 artikel yang dipakai untuk menjawab tiga pertanyaan penelitian yang sudah dirumuskan melalui PICOC. Hasil yang didapat adalah terdapat 25 metode yang ditemukan dan metode CNN yang paling banyak dibahas dalam 6 artikel. Dari 28 bahasa yang ditemukan, bahasa Inggris merupakan bahasa yang paling banyak diuji dalam 7 artikel. Selain itu, terdapat 23 macam tantangan dan hambatan, yang paling banyak ditemui pada 17 artikel adalah sumber daya bahasa yang sedikit, dikarenakan hanya satu bahasa resmi dalam suatu negara dan ada pula yang hampir mengalami kepunahan sehingga tidak banyak tersedia untuk umum. Gangguan berupa kebisingan atau noise juga mengganggu dalam menyelesaikan penelitian tersebut. Lalu agar mencapai keakuratan yang tinggi dalam pengenalan suara, dibutuhkan data pelatihan yang besar. Penelitian SLR ini dapat mengidentifikasi tren dan metode terbaik dan terbukti efektif yang dapat dipakai di perangkat IoT, aplikasi smartphone, dan layanan cloud.
Co-Authors Chrisantus Robert William Resi Dera Susilawati Dicky Surya Dwi Putra Fernando Verdy Sunata Gaerry Setiawan Indah Fenriana Indrawan Gotama Pandika Andio Efendi Prayogo Putra Tjaya RIKI RIKI, RIKI Rino Rino Susanto Hariyanto Thomas Febrian Yusuf Kurnia