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All Journal Teknika Jupiter Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Pendidikan Bahasa Inggris Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal TAM (Technology Acceptance Model) Jurnal Informasi dan Komputer Aptisi Transactions on Technopreneurship (ATT) Jurnal Inovasi Pendidikan Building of Informatics, Technology and Science SERAMBI: Jurnal Ekonomi Manajemen dan Bisnis Islam Sainstek : Jurnal Sains dan Teknologi Bulletin of Computer Science Research Educate: Jurnal Ilmu Pendidikan dan Pengajaran Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Ilmiah Mahasiswa Pendidikan Agama Islam Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ilmu Siber dan Teknologi Digital INOVTEK Polbeng - Seri Informatika Jurnal TAM (Technology Acceptance Model)
Chairani Chairani
Institut Informatika Dan Bisnis Darmajaya
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Journal : Jurnal Informatika

 1 
PREDIKSI DAYA SERAP PERUSAHAAN TERHADAP ALUMNI TEKNIK INFORMATIKA IBI DARMAJAYA BERBASIS JARINGAN SYARAF TIRUAN chairani chairani
Jurnal Informatika Vol 12, No 2 (2012): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v12i2.107

Abstract

Informatics And Business Institute (IBI) Darmajaya was one of the institutions in the Lampung area that was involved in computer education and economics. One of the available routes in IBI Darmajaya in the computer field was Computer Science (CS). CS IBI Darmajaya produced the numbering graduate’s ±1000 students who were spread in the territory. Up to now the level of the success from the CS graduate in the matter fast or not this graduate was absorbed by the world of the work still could not be predicted. So as to be needed one sitem the prediction of the absorbency of the company against the alumnus CS was based on Neural Network. The neural network used the algorithm backpropagatioan and the function activation sigmoid binary that consist of tansig, logsig, and purelin. The network that was formed consisted of 25 of the number of layer cells of input, 52 of the number of layer cells were hidden first (hidden the layer), 26 of the number of layer cells hidden the two, and 5 of the number of layer cells of output. The training data as well as the testing were carried out with the spreading questioner against 93 alumni TI that was taken in a random manner, where questioner this consisted of 24 skills criteria that must be owned by the graduate CS that was received from the spreading of the poll of the 39 companies in the Lampung territory. This data will be put into the prediction system used Matlab v6.0.The key word: Neural Network, the Backpropagation algorithm, the Aktivasi Function
IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA KERUSAKAN PRINTER JENIS CANON BJC-2100SP chairani chairani; Sriyanto Sriyanto; Fitria .
Jurnal Informatika Vol 12, No 1 (2012): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v12i1.135

Abstract

Printer as the printing tool is already dominate several field, such as office, shop, school, university, educational institution, etc. In certain time, there must be trouble in printer using, just like another machines, damages. So that, no matter how hi-tech the printing tool, it must need the expert to fix the damages.Expert system transform the knowledge of the expert(s) to be a computer system that help general people to do anything like an expert. In this case, expert system is built to diagnose the damage of printer type Canon BJC-2100SP. This expert system will increase time of effort to diagnose the damage of the printer type Canon BJC-2100SP for computer technician, specially for printer type Canon BJC-2100SP. Keyword : Production system, expert system, Rule, Knowledge, Inference Engineering.
VISUALISASI PETA RSS FINGERPRINT DALAM FASE OFFLINE PADA LOCALIZATION DI LANTAI 3 GEDUNG TEKNIK ELEKTRO UGM MENGGUNAKAN WLAN chairani chairani; Widyawan Widyawan
Jurnal Informatika Vol 13, No 1 (2013): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v13i1.127

Abstract

This paper discusses about the fingerprint mapping of Received Signal Strength (RSS) WLAN, placed in UGM’s Electrical Engineering (TE) building on 3rd Floor Corridor. RSS WLAN measurements performed by using visualization NetSurveyor software and RSS fingerprint map visualization created using RapidMiner software. Dimension area of 3rd floor of UGM’s TE building is 1696.68 m2 and formed in 1893 grids for each grid is 1 m x 1 m. Measurement of RSS WLAN to 5 access points performed in duration of 1 minute 58 seconds, and produce as many as 86980 record. The results of this research is fingerprint visualization map as calibration of RSS WLAN distribution at JTETI building on the 3rd floor which can be used for the development of indoor localization. Keywords : Fingerprint, RSS, WLAN, Localization.  
Co-Authors Abdullah, Syaukani Adeng Slamet Aditya, Fiqri Akhmad Unggul Priantoro Ayu Zulfiani Azima, Muhammad Fauzan Belinda Analido Dedi Kundana Diki Andita Kusuma DWI SURYANTO Elpisah Fitria . Fitria . Fitria Fitria Harahap, Juliandi Hari Sabita Haris Luthfi, Muhammad Herwanto, Riko Kesuma, Martika Ketang Wiyono Kristyanto, Andi Lubis, Nita A. Luh Putu Ratna Sundari M Devid Alam Carnegie Novita, Eka Nur Listanto, Arif pratama, febri Rachma Zannati Rian Sefriadi Rifki, Rifki Arif Rio Kurniawan Rusika, Deddy Setiawan, Gatot B Sherly Trisnawati Siti Mukodimah Siti Nurhaliza Sri Suning Kusumawardani Sriyanto Sriyanto Sriyanto Sriyanto Sulyono Sunarso Sunarso Triloka, Joko Tupari Tupari Umar Zein W, Muhammad Fahreza Widyawan Yafik, Muhammad Ikrom Yuda Septiawan Yuni Arkhiansyah Yurnaliza, Yurnaliza