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CLASSIFY BREAST TUMORS INTO MALIGNANT (CANCEROUS) OR BENIGN (NON-CANCEROUS) WITH THE NAIVE BAYES METHOD Perwira, Yuda; Suanda, Aura Nisa Galuh; Lase, Yulianto
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1125

Abstract

Breast Cancer is a deadly disease and a scourge for all women around the world, breast cancer occurs starting with the emergence of tumors that grow in the breast, but not all tumors that grow become malignant (cancer) sometimes tumors are also benign (non-cancerous) which are not dangerous and it is enough just to be lifted through surgery, for the need to know and classify the characteristics of tumors in the breast will become malignant (cancer) or benign (noncancer) so that people know based on the characteristics of the CT-Scan results of breast tumor data, then classify binaryly, namely cancer or non-cancer, classification techniques using the naïve bayes method which is proven to have high accuracy for classification in several studies, then testing the accuracy and prediction of breast tumors becoming malignant (cancerous) or benign (non cancerous) with the naïve bayes method, as for the results of this study it is known that from digital image data from needle aspirate the smoothness (FNA) of breast mass is known that the naïve bayes algorithm can classify tumor data that become benign and malignant well, and after testing the accuracy of performance and obtained accuracy from the naïve bayes method is 94.55%.
Penerapan Metode Profile Matching untuk Menentukan Program Pemberdayaan Masyarakat pada Desa S1 Jati Baru Perwira, Yuda; Apriani, Wira; Nuraisana, Nuraisana; Affandi, Egi; Daulay, Suandi
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 3 (September 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i3.963

Abstract

This research aims to test the effectiveness of applying the Profile Matching method in determining community empowerment programs in Desa S1 Jati Baru. Desa S1 Jati Baru, a village in the Pagar Merbau sub-district of Deli Serdang Regency, North Sumatra Province, faces several development challenges. In this context, this research considers the Profile Matching method as a potential approach to formulate more relevant and sustainable empowerment programs. The study employs a qualitative approach involving in-depth interviews and focus group discussions with various stakeholders in Desa S1 Jati Baru. The collected data is then analyzed using content analysis methods to identify the community's needs, aspirations, and potential. The research findings indicate that the Profile Matching method provides a deeper understanding of the needs and aspirations of the Desa S1 Jati Baru community. Based on the generated profile, various empowerment programs that better match the community's characteristics and needs were identified, with the development of agricultural MSMEs emerging as the best option with the highest total score of 2.36. This program received high scores on core factors, indicating that it is highly suitable for the community's educational background, with most residents being vocational high school graduates, and has great potential to increase the village's income.
Penerapan Metode Profile Matching untuk Menentukan Program Pemberdayaan Masyarakat pada Desa S1 Jati Baru Perwira, Yuda; Apriani, Wira; Nuraisana, Nuraisana; Affandi, Egi; Daulay, Suandi
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 3 (September 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i3.963

Abstract

This research aims to test the effectiveness of applying the Profile Matching method in determining community empowerment programs in Desa S1 Jati Baru. Desa S1 Jati Baru, a village in the Pagar Merbau sub-district of Deli Serdang Regency, North Sumatra Province, faces several development challenges. In this context, this research considers the Profile Matching method as a potential approach to formulate more relevant and sustainable empowerment programs. The study employs a qualitative approach involving in-depth interviews and focus group discussions with various stakeholders in Desa S1 Jati Baru. The collected data is then analyzed using content analysis methods to identify the community's needs, aspirations, and potential. The research findings indicate that the Profile Matching method provides a deeper understanding of the needs and aspirations of the Desa S1 Jati Baru community. Based on the generated profile, various empowerment programs that better match the community's characteristics and needs were identified, with the development of agricultural MSMEs emerging as the best option with the highest total score of 2.36. This program received high scores on core factors, indicating that it is highly suitable for the community's educational background, with most residents being vocational high school graduates, and has great potential to increase the village's income.
ANALISA METODE C4.5 UNTUK MENGETAHUI FAKTOR KEPUASAN MAHASISWA TERHADAP PEMBELAJARAN DARING Perwira, Yuda; Sitohang, Amran; Stephanie, Amanda Dwi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2476

Abstract

Pada Masa Pandemi Covid-19 Saat ini terjadi perubahan produktivitas, kegiatan masyarakat harus dibatasi guna memutus rantai penyebaran virus covid-19, segela kegiatan non esensial sebisa mungkin dilakukan secara daring, termasuk belajar mengajar pada perguruan tinggi, proses belajar mengajar secara daring perlu dievaluasi agar mahasiswa semangat belajar dan proses transfer ilmu berjalan dengan baik. Tujuan penelitian ini adalah mengevaluasi pembelajaran daring pada perguruan tinggi untuk mengetahui tingkat kepuasan mahasiswa terhadap pembelajaran daring dan mengetahui faktor apa yang menjadi penyebab dari kepuasan pembelajaran daring. Metode yang digunakan pada penelitian ini adalah analisis dan identifikasi masalah, membuat kajian literatur, pengumpulan data dan wawancara dengan pihak terkait, kemudian menerapkan teknik data mining pada data kemudian klasifikasi data dengan algoritma C4.5 Dan kemudian simulasi dengan rapid miner. Data yang digunakan pada penelitian ini adalah hasil kuesioner yang diisi oleh mahasiswa berdasarkan variabel atau kriteria yang dilakukan pada saat pembelajaran daring, dan akan diolah dengan teknik data mining dengan algoritma C4.5, dimana metode ini memiliki akurasi yang tinggi untuk klasifikasi. Hasil penelitian ini adalah diketahui bahwa variabel yang paling berpengaruh pada kepuasan mahasiswa terhadap pembalajaran daring adalah fasilitas interaksi selanjutnya adalah Fasilitas dari objek pembelajaran daring yang dapat memfasilitas kelengkapan objek pembelajaran.