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All Journal QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama JURNAL MEDIA INFORMATIKA BUDIDARMA Applied Information System and Management J-SAKTI (Jurnal Sains Komputer dan Informatika) Building of Informatics, Technology and Science Jurnal Ilmiah Sains dan Teknologi Journal of Computer System and Informatics (JoSYC) Journal of Business and Audit Information System (JBASE) Jurnal Jaring SainTek Jurnal Manajemen Informatika Jayakarta J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pendidikan Sains dan Komputer Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sains dan Teknologi Widyaloka (JSTekWid) Jurnal Informatika dan Teknologi Informasi Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) Jurnal Ilmiah Sistem Informasi Eksplorasi Teknologi Enterprise & Sistem Informasi (EKSTENSI) Jurnal Pengabdian Masyarakat Singa Podium (JPMSIPO) Jurnal Information System
Bernadus Gunawan Sudarsono
Universitas Bung Karno
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Building of Informatics, Technology and Science

 1 
Analisa Penerapan Metode MOOSRA dan MOORA dalam Keputusan Pemilihan Lokasi Usaha Sudarsono, Bernadus Gunawan; Zulkarnain, Iskandar; Buulolo, Efori; Utomo, Dito Putro
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2696

Abstract

In the world of work, competition certainly exists. Especially in the selection of the location of the business being run. The better the location of the place of business, of course, the more competition. In this study, we will discuss the selection of a strategic and appropriate business location. The location of the business greatly affects the development of the business being run, many businesses do not develop (loss) so they have to stop their business because the location of the business is far from residential areas, the location is narrow and so on. To avoid this, we need a system that can solve the problem which is called a decision support system. Decision support system is a structured system in making effective business location selection decisions using methods such as WASPAS, SPI, TOPSIS, WP, SAW, MOORA, MOOSRA, EDAS and many others. The selection of business locations used the MOOSRA and MOORA methods. Both methods are very simple and easy to understand with the assessment based on the criteria used, namely Number of Competitors, Crowd Center, Location Size, Place Rent Price and Location Cleanliness. The results obtained after applying the two methods in the selection of business locations, namely the highest alternative or the first rank is Alternative A1 with a reference value of 0.564
Perbandingan Algoritma Klasifikasi Data Mining Dalam Diagnosa Penyakit Arteri Koroner Sudarsono, Bernadus Gunawan; Winarno, Edy
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5981

Abstract

Coronary artery disease is one of the diseases that often attacks humans. The cause of this disease is due to narrowing or blockage of the coronary blood vessels that supply blood to the heart. The diagnosis of coronary artery disease by medical personnel has so far been constrained by the limited number of doctors, in terms of the number of doctors and time, because the number of specialist doctors is limited. The limited number of doctors causes several difficulties for medical personnel who diagnose the patient's disease and over time can become a serious problem. Information technology that can help medical personnel is by applying data mining techniques which are techniques to help diagnose coronary artery disease. Data mining can identify patterns or relationships between disease symptoms and diagnostic results, so that patients with a high risk of developing the disease can be identified. The Naïve Bayes algorithm is one of the algorithms of the Data Mining classification technique, which is based on Bayes' theorem. The C4.5 algorithm is one of the algorithms of the Data Mining classification technique, which uses decision trees in classifying data. Algorithm comparisons are carried out in order to obtain the appropriate or best algorithm for use in diagnosing a disease. The comparison process of the Naïve Bayes algorithm and the C.45 algorithm in diagnosing coronary artery disease, obtained the best algorithm results based on the largest percentage value, namely the C4.5 algorithm, with a value of 46.9%.
Co-Authors Abdul Karim Abimanyu, Chaidar Ahmad Ismail Shaleh Alexius Ulan Bani Alfarizi, Alfarizi Alfiansyah Bahri Alijoyo, Franciskus Antonius Alvin Saputra Tandiono Asrul Sani Azhari, Ozmar Charolina, Yanthi Christian Wijaya Damayanto, Antonio David Nicolas Saing Dedi Sutrisno Diaz Eka Fachriza Diki Hermawan, Diki Dwi Yuniarto Edy Winarno Efori Buulolo Eka Pratama Atmaja Fani Eli Zebua Fauziyah Febrian Saputra Febriansyah, Aldi Felicia, Jennifer Ferdyansyah, Ferdyansyah Ferik Utomo Francka Sakti Lee Guna, Dozen Putra Helmy Daimon Matulessy Herdiani, Febri Dolis Hifzillah Hifzillah Honni Honni, Honni Husna Amin Ibnu Bagus Wahyu Prakoso Imam Hanafi Indra Indra Ishak Alexander Iskandar Zulkarnain Jaelani , Abdul Johan Ferdiyansyah Johanes Fernandes Andry Jonathan Roland Hamonangan Siagian Joseph Jourdy Lestari, Sri Poedji Lutfi Rizki Irmansyah Moshe Daud Priesyamin Muhamad Firmansyah Muhammad Dira Amirullah Muhammad Lutfi Muhammad Rizal Nirmalawati , Zara Pambagyo, Agustinus Galih Priambodo, Priambodo Puja Lestari Putri, Farazayu Nanda Raditya Galih Whendasmoro Rahma Saputra Ramos, Samuel Ricky Irawan Ridwan Chijaya Rio Budi Firmansyah Robi Wahyu Ilahi Samuel Ramos Samuel Wijito Ayos De Ro Sefnath Erens Korwa Sharyanto Sharyanto Sharyanto, Sharyanto Siti Soleka Sri Poedji Lestari Sri Poedji Lestari Sri Poedji Lestari Suhada, Karya Susanto, Ferdy Valentine, Hany Maria Wahyu Alfarisi Wardan, Muhammad Rafid Whendasmoro, Raditya Galih Yanthi Carolina Yustrianda, Nugraha Dwi Yusuf Ardabili