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SPIRIT
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Yadika Bangil
ISSN : 20853092     EISSN : 2721057X     DOI : 10.53567
Core Subject : Science,
Computer Science & IT
Spirit : STMIK Yadika Journal of Computing and Cybernetic System diterbitkan oleh Sekolah Tinggi Manajemen Informatika dan Komputer didukung oleh Lembaga Pusat Penelitian dan Pengabdian kepada Masyarakat (LPPM) STMIK Yadika Bangil. Redaksi mengundang para profesional dari dunia usaha, pendidikan dan peneliti untuk menulis mengenai perkembangan ilmu di bidang Teknik dan Manajemen Informatika.
Arjuna Subject : -
Articles 4 Documents
 1 
Search results for , issue "Vol 8, No 2 (2016): SPIRIT" : 4 Documents clear
ANTISIPASI KEDATANGAN KENDARAAN DARURAT MELALUI EMERGENCY MESSAGE PADA LINGKUNGAN VEHICULAR ADHOC NETWORK Johan Ericka W.P
SPIRIT Vol 8, No 2 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (116.666 KB) | DOI: 10.53567/spirit.v8i2.47

Abstract

VANET (Vehicular Ad Hoc Network) is a relatively new technology in computer network.This technology will enable communication between vehicles by sending datas wirelessly. This research will use VANET technology to broadcast emergency messages, so every vehicles that receive the emergency data can do anticipating action (stop / pull over / slowdown) to clear the road for emergency vehicles (police / firetrucks / ambulance). Keywords: VANET, emergency message, anticipating 
SISTEM INFORMASI BERBASIS SMS GATEWAY PEMANTAU PERKEMBANGAN KARAKTER SISWA MENGGUNAKAN SKALA LIKERT Sigit Riyadi; Husni Mubarok
SPIRIT Vol 8, No 2 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (174.878 KB) | DOI: 10.53567/spirit.v8i2.48

Abstract

Abstract : using an information about student’s character developing still conventionally. This is done by getting the qualitative data about student’s character through the process of daily observation in the school which is written on student’s and teacher journal colomn without any quantitative instrument. In order to state that the data about student character is accurate and valid, so the researcher create a character test instrument using questionnaire which is processed using likert scale and sent the result to parents by sms gateway. Hopefully this can facilitate teacher to report the students character developing to parents.Keywords : character, skala likert, sms gateway
IMPLEMENTASI METODE K-NN UNTUK KLASIFIKASI IMAGE BERDASARKAN TEKSTUR DAN CIRI FITUR WARNA Nurul Fuad
SPIRIT Vol 8, No 2 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.028 KB) | DOI: 10.53567/spirit.v8i2.49

Abstract

Perkembangan teknologi akhir – akhir ini tidak bisa lepas dari pemanfaatan image sebagai salah satu obyek penelitian. Content Based Image Retrieval Penelitian ini bertujuan mengimplementasikan K-Nearest Neighbor untuk klasifikasi image landscape serta mengukur tingkat akurasi dan waktu klasifikasinya. Dalam penelitian ini dibangun sebuah perangkat lunak yang dapat mengekstrak fitur warna dan tekstur dari sebuah image landscapedengan menggunakan metode Color Histogram dan Edge Histogram Descriptor. Hasil dari proses ekstraksi fitur kemudian digunakan oleh perangkat lunak dalam proses learning dan klasifikasi dengan metode KNearest Neighbor. Perangkat lunak dibangun dengan metode analisis dan perancangan terstruktur kemudian diimplementasikan dengan Microsoft Visual Basic.NetPerangkat  lunak yang dihasilkan kemudian diuji dengan parameter tingkat akurasi dan waktu klasifikasi. Hasil pengujian menunjukkan bahwa kombinasi fitur warna dan tekstur memberikan tingkat akurasi yang lebih tinggi dibandingkan dengan klasifikasi berdasarkan fitur warna saja atau tekstur sajanamun membutuhkan waktu klasifikasi yang lebih lama.Kata kunci : klasifikasi Image, ekstraksi fitur, k-nearest neighbor 
SISTEM REKOMENDASI BUKU PADA APLIKASI PERPUSTAKAAN MENGGUNAKAN METODE COLLABORATIVE FILTERING PADA SMKN 1 BANGIL Abdul Rokhim; Akhmad Saikhu
SPIRIT Vol 8, No 2 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (142.48 KB) | DOI: 10.53567/spirit.v8i2.52

Abstract

Recommender system aims to predict the likelihood of books interest or useful for students . This study describes the making of a recommendation system that is able to automatically make a recommendation to the students . Recommendations are shown to students in the form of a list of books that have been sorted prediction results of the greatest equality of outcome prediction . In applications made , the recommendations given to the students there are two kinds, namely recommendation filtering demographic used for students who have not borrowed books , recommendations are given based on the similarity between the profiles of students Keyword: Library, Recommendation System, Collaborative Filtering.Keyword: Library, Recommendation System, Collaborative Filtering.

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