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All Journal CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURTEKSI Building of Informatics, Technology and Science Infotekmesin JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Teknologi dan Riset Terapan (JATRA) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Jurnal Pengabdian Masyarakat IPTEK International Journal Software Engineering and Computer Science (IJSECS) Jurnal Minfo Polgan (JMP) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Community Service Digital Transformation Technology (Digitech) Journal Of Artificial Intelligence And Software Engineering
Ahmadi Irmansyah Lubis
Politeknik Negeri Batam
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Journal : Building of Informatics, Technology and Science

 1 
Sistem Pakar Dalam Penentuan Mustahiq Zakat Menggunakan Dempster Shafer Feri Setiawan; Ahmadi Irmansyah Lubis
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2240

Abstract

Zakat is one of the obligations for a Muslim and is one of the five pillars of Islam. In the zakat system, it consists of two elements, namely Mustahiq (who has the right to receive zakat) and Muzakki (who has the right to pay zakat). Based on interviews conducted by the author with the Amil Zakat Infaq Shadaqoh Muhammadiyah Institute (LAZISMU) Sunggal District, Deli Serdang Regency, lies are often found because the system used is still manual in identifying the eligibility of zakat mustahiq, most of which are falsification of income data and data that have received assistance. This causes the distribution of zakat to be uneven. This study builds a system that can provide knowledge to the public, especially Muslims, about mustahiq zakat and its criteria. In the study, the development of an intelligent system that is able to identify mustahiq zakat which is computed into an Android-based application which will then be used globally by the community to identify whether a person is included or not included as mustahiq zakat. As for building the application in this study, the Dempster Shafer method based on the Expert System is used in order to produce an output that can be right on target in accordance with the expected target. The results of the study used 11 criteria, 8 asnaf and 12 rule based. The results obtained from the system testing carried out can be said that the system that has been built is able to assist in the process of systematically identifying zakat mustahiq with the expected system output
Penerapan Neural Network Dalam Klasifikasi Citra Permainan Batu Kertas Gunting dengan Probabilistic Neural Network Siregar, Siti Julianita; Lubis, Ahmadi Irmansyah; Ginting, Erika Fahmi
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.519 KB) | DOI: 10.47065/bits.v3i3.1143

Abstract

In this research, an image classification model was developed to distinguish hand objects pointing at rock, paper, and scissors using one of the popular image classification methods, namely the Probabilistic Neural Network. Probabilistic Neural Network is a method in an artificial neural network that is used to classify a category based on the results of calculating the distance between the density function and the probability. PNN has 4 stages of processing, namely Input Layer, Pattern Layer, Summation Layer, and Output Layer. Tests in the study were carried out with a total of 60 testing data from three object classes from the dataset. Then the results of the classification of Batu, Scissors, and Paper hand images using the application of the PNN algorithm in this research test obtained an average accuracy value of 90%
Co-Authors Afdhol Dzikri Agung Riyadi Alena Uperiati Dzulfiqar, Mohamad Alif Erdiansyah, Umri Feri Setiawan Ginting, Erika Fahmi Guntur Syahputra Ikhwan Ash Shafa Arrafi Isnayanti Judijanto, Loso kamil erwansyah Legito Lumban Gaol, Nur Yanti Lusiyanti Lusiyanti Lusiyanti Lusiyanti Metta Santiputri Mu'minin, Amirul Mukhlis Ramadhan Mulyadi Mulyadi Noper Ardi Nova, Muhammad Andi Purnamasari, Dwi Amalia Ramadhan, Gilang Bagus Rezi Elsya Putra Rini Nuraini, Rini Rosma Siregar Rudy Chandra S, Supardianto Sartikha, Sartikha Sembiring, Evaliata Br. Setiawan, Feri Siregar, Siti Julianita Supardianto Supardianto Supinah SUSI LESTARI Suwarno Suwarno Thohari, Ahmad Hamim Umri Erdiansyah Umri Erdiansyah Umri Erdiansyah Zaimah, Zaimah