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All Journal Jurnal Informatika Lontar Komputer: Jurnal Ilmiah Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Scientific Journal of Informatics International conference on Information Technology and Business (ICITB) jurnal Teknologi Informasi Magister Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal CoreIT Indonesian Journal of Artificial Intelligence and Data Mining Jurnal TAM (Technology Acceptance Model) JMM (Jurnal Masyarakat Mandiri) Prosiding Seminar Nasional Darmajaya Building of Informatics, Technology and Science Bioscientist : Jurnal Ilmiah Biologi Jurnal Pengabdian kepada Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) NEAR: Jurnal Pengabdian kepada Masyarakat SIENNA Jurnal TAM (Technology Acceptance Model)
Y. Suhendro
Darmajaya Informatics And Business Institute
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Nursing Public Health Social Sciences Transportation Other

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Journal : Jurnal Informatika

 1 
SISTEM PAKAR UNTUK DETEKSI PENYAKIT PADA AYAM Suhendro Yusuf Irianto; Dian Sari
Jurnal Informatika Vol 11, No 1 (2011): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v11i1.170

Abstract

In this paper we try explore artificial intelligent approach to detect poultry desease caused by virus. We built a web based expert system application to help veterinarian diagnose poultry whether infected by virus or not. In this work we utilize expert system to decide what kind of virus or desesase detected. Our work demonstrates that our expert system algorithm quite good eventhough the menu structure is quite simple. Application was built with PHP on windows platform since PHP considered as widely used tool for developing web technology programming. The system has also some advantages such as fast, eliminate data redundant, and accurate in deciding kid of virus detected. Keywords : artificial intelligent, virus, poultry.
PEMANFAATAN APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT PARU-PARU Suhendro Yusuf Irianto; - Winarsih
Jurnal Informatika Vol 11, No 2 (2011): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v11i2.188

Abstract

Expert system to diagnose lung disease was designed as a tool to diagnose the type of lung disease in particular. The knowledge obtained from various sources such as research and exposure to experts in the field and conducted a book-related lung disease. Inference in an expert system which is made using the method of Forward Chaining. Expert system will display a selection of symptoms that can be selected by the user to get the final result. At the end of the expert system will display the type of lung disease, information about lung disease and herbal medicine for lung disease. Keywords: expert system, lung disease
PENERAPAN METODE FUZZY INFERENCE SYSTEM TSUKAMOTO PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK PENERIMAAN BEASISWA Fitria -; Suhendro Yusuf Irianto
Jurnal Informatika Vol 16, No 1 (2016): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v16i1.937

Abstract

Fuzzy logic is one method to perform system analysis that contains uncertainty. Fuzzy logic mimics a human thinking way called reason, where reason can explain and identify things automatically. In this research used inference method of Fuzzy Tsukamoto system. The design of the system for obtaining output is carried out in stages (a) The establishment of the Fuzzy set, (b) Application of the implication function, (c) The composition of the rule, (d) the affirmation (Defuzzification). To assist the determination in determining a person who is eligible to receive a scholarship then required a decision support system. One method that can be used for Decision Support System is to use Fuzzy Inference System Tsukamoto.So the result of the selection is if the value Z = 70.78571, then the decision is Accepted with limitation if the received output value is 70-80 and if the reject between 0-60.This method is chosen because it is able to select the best alternative from a number of alternatives, in this case, the intended alternative is the right to receive the scholarship based on the criteria specified[6]. The research is done by finding the value of weight for each attribute then done the ranking process that will determine the optimal alternative, that is the best student. Keywords: Fuzzy Tsukamoto, Decision Support System (SPK), Scholarship Reception
Sistem Identifikasi Penduduk Berbasis Gambar Finger Print Suhendro Yusuf Irianto; Wahyu Nugroho
Jurnal Informatika Vol 10, No 1 (2010): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v10i1.146

Abstract

In this paper we try to demonstrate the use Visual Basic 6.0 to develop a finger print based  social security (KTP) in kecamatan Tanjung Karang Barat. Tanjung Karang Barat Residents application demonstrates, the new system able to eradicate mistyping or human error, social security duplication, long time processing, unnecessary bureaucracy.    Above and beyond its advantages, the system be further developed to improve security, reliable backup, and  shoul be available on line in the near future. Keyword : Finger print, KTP, visual  basic 6.0, Tanjung Karang Barat
LOW LEVEL FEATURES FOR IMAGE INDEXING AND RETRIEVAL IN THE COMPRESSED DOMAIN Suhendro Yusuf Irianto
Jurnal Informatika Vol 8, No 1 (2008): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v8i1.606

Abstract

Abstract— in this paper, the work used to explore three of low level feature descriptors, namely: binary texture, energy-based, orientation based content, and DC descriptors. A simple binary algorithm is applied to transform DCT values into binary, a histogram is generated by using horizontal and vertical features, and energy based of average DCT values to construct indexing key for image retrieval.  The experiment shows that binary texture descriptor demonstrates the highest in average precision amongst other low level descriptors.  The research was also explored to calculate the effectiveness of image retrieval in DCT and by using commercial image processing package Adobe Photoshop Album (APA) as comparison.
Co-Authors - Nurjoko - Winarsih -, Meiliza -, Nisar A.A. Ketut Agung Cahyawan W Adimas, Adimas Agung Pradana Agus Rahardi Agus Rahardi, Agus Ahmad Rofi’i Ali, Rionaldi Andreas Perdana Apri Ramadhan, Apri ARDIANSYAH ARDIANSYAH Arman Suryadi Karim, Arman Suryadi Armansyah Armansyah Aziz, RZ. Abdul Dian Sari Dona Yuliawati Dwi Handoko Effendi, Mukhammad Khoirul Eko Hendrawan Endang Astitin Enrico Findley Farduwin, Alhada Fauzi, Chairani Fitria - Fitria - Fitria Fitria handoyo widi nugroho Hendra Kurniawan Herwanto, Riko Ida Ayu Puspita Sari Indera Irianto . Irwanto, Ika Krisdiyanto, Wawan Lukmanul Hakim M Said Hasibuan Muhammad Galih Ramaputra Muktiawan, Danang Ade Nisar - Nursiyanto Ochi Marshella Febriani Onno W. Purbo Ramadhan, M Fitrah Rian Yunandar Ribut Yulianto Rio Kurniawan Roffi, Ahmad Safitri, Egi Septiawan, Yuda Sken Jian Tao Sri Karnila Sri Karnila Sri Karnila Sriyanto Sriyanto Sriyanto Sriyanto Sushanty Saleh Vitriani, Yelfi Wahyu Nugroho Wenni Puspa Sari Yudiansyah, Lepi Astra