Article Per Year (5 Year)
p-Index From 2021 - 2026
3.099
P-Index
This Author published in this journals
All Journal Jurnal Buana Informatika Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Fountain of Informatics Journal Format : Jurnal Imiah Teknik Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro INOVTEK Polbeng - Seri Informatika JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jurnal Teknoinfo ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) JURTEKSI IJISCS (International Journal Of Information System and Computer Science) Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CSRID (Computer Science Research and Its Development Journal) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Tekno Kompak Respati JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service J-SAKTI (Jurnal Sains Komputer dan Informatika) Insearch: Information System Research Journal JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal of Informatics, Economics, Management and Science Bulletin of Informatics and Data Science Jurnal Informatika: Jurnal Pengembangan IT JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Rohmat Indra Borman
Universitas Teknokrat Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences Other

Published : 50 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Bulletin of Informatics and Data Science

 1 
Klasifikasi Citra Tanaman Perdu Liar Berkhasiat Obat Menggunakan Jaringan Syaraf Tiruan Radial Basis Function Rohmat Indra Borman; Imam Ahmad; Yuri Rahmanto
Bulletin of Informatics and Data Science Vol 1, No 1 (2022): May 2022
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Wild plants or what are usually called weeds are plants that are considered harmful because they grow in unwanted places. But it turns out that some wild plants have many benefits for the health of the human body. Wild plants have many forms of vegetation, one of which is often encountered is shrubs. There are many wild herbaceous plants that are efficacious as medicine. However, most of the people who do not have knowledge about the types of wild shrubs that have medicinal properties. This study aims to implement the Radial Basis Function (RBF) algorithm for the classification of wild herbaceous plant species with medicinal properties by extracting color and texture features. The color feature extraction is based on the average RGB value, while the texture feature extraction uses a Gabor filter with the mean, entropy, and variance parameters of the magnitude image. The result of feature extraction becomes input data which will be managed by the RBF artificial neural network. RBF is a neural network that has three layers that have feedforward properties that can assist in solving classification or pattern recognition problems. Based on the test results, the precision value is 91%, recall is 89% and accuracy is 90%. These results show that the Radial Basis Function (RBF) algorithm with color and texture feature extraction can classify wild shrubs with medicinal properties well.
Implementation of Operational Competitiveness Rating Analysis (OCRA) and Rank Order Centroid (ROC) to Determination of Minimarket Location Ida Mayanju Pandiangan; Mesran Mesran; Rohmat Indra Borman; Agus Perdana Windarto; Setiawansyah Setiawansyah
Bulletin of Informatics and Data Science Vol 2, No 1 (2023): May 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Minimarket location placement is one of the main capital for the business to progress and develop. In determining the location of the minimarket, various considerations must be taken so that nothing is fatal to the sustainability of the business. The problem that occurs in the company in choosing the placement of minmarket locations, namely the various locations that are chosen, each location has its advantages and disadvantages, each of which can affect the analysis of results and takes a long time to make a decision. So that requires a system that can provide a solution to this problem. In this case the resulting system is a system that is useful for determining location placement for minimarkets using the ROC method as its weighting and the OCRA method as a decision generator. This system can provide a solution in determining the location of minimarkets, from various existing locations. The results of each alternative are more objective and definitive in determining the location of minimarkets in a computerized way. For this reason, it is necessary to have supporting criteria for using a decision support system. Determination of importance weight values on conflicting criteria is generated through a weighting method, namely ROC or Rank Order centroid. The OCRA method or Operational Competitiveness Rating Analysis is a method that can calculate and produce rankings efficiently so that the resulting decisions are accurate. The results obtained from the utilization of this system determine the location of minimarkets using the OCRA method and ROC weighting as well as various conflicting criteria determined by the company and development management in Lubuk Pakam resulting in the highest preference value of 0.673 as a location that is suitable for use as a minimarket
Co-Authors A. Sumarudin Abidarin Rosidi Adi Sucipto, Adi Aditya Dwi Saputra Agus Ambarwari Agus Mulyanto Agus Mulyanto Agus Perdana Windarto Agustina Eka Kumala Alfian, Joni Alfry Aristo Jansen Sinlae Amalia, Dira Arief, M Rudyanto Arisantoso Arisantoso Atmojo, Wahyu Tisno Attohiroh Attohiroh Azmi, Arief Bagas Prasetyo Bagas, Prasetyo Bentar Priyopradono Bima Ghafaral Damayanti Damayanti Damayanti, Damayanti Devin Pratama Dyah Ayu Megawaty Edison, Arif Rahman Emi Suwarni Erlina Susanti Erliyan Redy Susanto Erma, Idayanti Fauzi Helmi Fernando, Yusra Gavan Gorbi Caksana Gina Hapsari Arifin Gunawan, Rakhmat Dedi Heni Pujiastuti Herdiansah, Arief Hetty Rohayani Ida Mayanju Pandiangan Idayanti Erma Imam Ahmad Imam Ahmad Imam Ahmad Imam Saputra Iqbal Yasin Irma Hanifah Jafar Fakhrurozi Joni Alfian Kadek Pindrayana Lestari, Ova Mayangsari Mayangsari Mayatopani, Hendra Mesran Mesran Mia Melinda Muhamad Muslihudin Muhammad Adam Putra Darma Muhammad Akbar Napianto, Riduwan Ndaru Kristiawan Nisa Mahmuda Nurhasan Nugroho nurnaningsih, Desi Petrus Mursanto Pindrayana, Kadek Prasetyawan, Purwono Prasetyo, Bagas Prastowo, Agung Tri Priandika, Adhie Thyo Purwanto, Yogi Putri Nurlandari Quraysh Quraysh Riduwan Napianto Riduwan Napianto Rossi, Farli Rosyid Ridlo Al-Hakim S. Samsugi Samsugi Samsugi Setiawansyah Setiawansyah Sigit Pramono Sonia Maylinda Syahrizal Dwi Putra Tiya Monica Wisnu Jatmiko Yohanes Egi Pratama Yudoutomo Yuri Rahmanto Yusra Fernando Zaenal Abidin