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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika INFOKAM Jurnal Inspiration SISFOTENIKA CogITo Smart Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang RESEARCH : Computer, Information System & Technology Management DoubleClick : Journal of Computer and Information Technology JurTI (JURNAL TEKNOLOGI INFORMASI) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi JURTEKSI Jurnal Riset Informatika EKUITAS (Jurnal Ekonomi dan Keuangan) Informasi Interaktif CCIT (Creative Communication and Innovative Technology) Journal JMAI (Jurnal Multimedia & Artificial Intelligence) METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi SENSITEK Infotekmesin Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics KURVATEK Indonesian Journal of Business Intelligence (IJUBI) Jurnal Tecnoscienza Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknologi Informatika dan Komputer Jurnal Teknimedia: Teknologi Informasi dan Multimedia International Journal of Computer and Information System (IJCIS) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) EXPLORE Innovative: Journal Of Social Science Research Nusantara Journal of Computers and its Applications Jurnal INFOTEL Journal of Innovative and Creativity Explore
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Journal : Informasi Interaktif

KLASIFIKASI JENIS REMPAH-REMPAH BERDASARKAN FITUR WARNA RGB DAN TEKSTUR MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR Kaharruddin Kaharruddin; Kusrini Kusrini; Emha Taufiq Luthfi
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.156 KB)

Abstract

 Indonesia is a country famous for its spices wealth, spices have many benefits such as cooking and can also be used as medicine, but nowadays there are many Indonesian people who cannot distinguish each type of spices especially the rhizomes that will be used due to their shape quite similar, even though the selection of the right type of spices in accordance with the needs is very important because the spices used for cooking or medicine have different taste and efficacy, therefore the use of computer technology needs to be used to facilitate and accelerate humans in conducting classifications, this research classifies spices based on RGB and Texture colors using K-Nearest Neighbor Algorithm and distance measurement using Euclidean Distance, from 30 times the test experiment gets the result that the level of truth with K = 1 is 76%, K = 3 is equal to 67% and K = 5 by 63%. From these results it is known that based on GE colors and computer textures can classify spices but with a fairly low accuracy so that further development is needed such as adding form features. Keywords: classification, spices, K-Nearest Neighbor.
SENTIMEN ANALISIS REVIEW PENGGUNA MARKETPLACE ONLINE MENGGUNAKAN NAÏVE BAYES CLASSIFIER Siti Rahayu; Kusrini Kusrini; Heri Sismoro
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

The presence of social media allows users to freely review, comment on works, public figures, products, and companies. This is why then social media now is become a great source of data, which can be collected for some analysis , according to information needed. One of them is , Social media data can be used to evaluate the fast-growing market-place website in Indonesia. This can be done by analyzing the sentiments of the users review in social media sites especially twitter. The object of this research is marketplace Online Shoope. The activity of analyzing and processing user review data can also be referred to as Sentiment analysis / opinion mining. One method of text mining that can be used to solve the problem mining issue is Naïve Bayes Classifier (NBC). NBC can be used to classify opinions into positive and negative opinions. The level of accuracy of sentiment analysis system of user review of Marketplace Online shopee by using Naïve Bayes Classifier is 78,3% , with 47 tweets are classified accurately from the total number of testing tweet as much as 60 tweets, with the amount of training data are 300 tweets.Keywords: Naïve Bayes Classifier, Sentiment Analysis, Marketplace Online
ANALISIS LAYANAN STRATEGIC YANG MEMPENGARUHI SIKAP PENGGUNA SISTEM INFORMASI UNIVERITAS DEHASEN BENGKULU Dwinda Etika Profesi; Kusrini Kusrini; M. Rudyanto Arief
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Information system is a system within an organization that brings together the needs of daily transaction processing, supports managerial operations, and strategic activities of an organization and provides certain outside parties with the necessary reports. One of them is Dehasen Bengkulu University that uses and utilizes information systems as a medium of information and to support academic activities. This study aims to conduct a behavior analysis of users of the Dehasen University information system in Bengkulu using the UTAUT method.This research was conducted using a quantitative method, with the population being students at Dehasen University in Bengkulu. The data analysis technique in this study used data normality test, multicollinearity test and Heteroscedacity test.From the results of the discussion after passing the data analysis test using the UTAUT method, it was found that the variable Performance Expectancy, Effort Expectancy had an effect on Behavior Intention and Facilitating Condition that affected the Use Behavior. Keywords:  Dehasen University Bengkulu, Information System,Students, UTAUT 
Co-Authors Abdi Firdaus Achmad Wazirul Hidayat Adadilaga Arya Priwanegara Adhien Kenya Estetikha Aditya Hastami Ruger Aflahah Apriliyani Agatha Deolika Agianto Syam Halim Agung Budi Prasetyo Agus Susilo Nugroho Ajie Kusuma Wardhana Akrilvalerat Deainert Wierfi Alfahmi Muhammad Arif Alva Hendi Muhammad Amir Bagja Andi Bahtiar Semma Andi Sunyoto Andi Suyoto Andri Rachmatullah Andris Faesal Anggit Dwi Hartanto Anjar Anjani Putra Anwar Sadad Aolia Ikhwanudin Arham Rahim Arief Setyanto Arif Fajar Solikin Arnila Sandi Asro Nasiri Asro Nasrini Ayu Adelina Suyono Aziz Muslim Bimantyoso Hamdikatama Candra Adipradana Dedi Gunawan Devina Ninosari Dimaz Arno Prasetio Dina Maulina Donny Yulianto Dwi Astuti Dwi Utami Dwinda Etika Profesi Eka Wahyu Sholeha Eko Pramono Elik Hari Muktafin Emha Taufiq Luthfi Emha Taufiq Luthfii Erwin Apriliyanto Fandli Supandi Fendy Prasetyo Nugroho Ferry Wahyu Wibowo Fiyas Mahananing Puri Guido Adolfus Suni Hadryan Eddy Hafidz Sanjaya, Hafidz Hanafi Hanafi Hanif Al Fatta Hasirun Hasirun Henderi . Hendrik Hendrik Heri Sismoro Hery Nurmawan Hery Siswanto I Made Artha Agastya I Putu Agus Ari Mahendra Ichsan Wasiso Idris Idris Imam Listiono Irma Darmayanti Irwan Oyong José Ramón Martínez Salio Juwari Juwari Kaharuddin Kanafi Kanafi Khoirun Nisa Khomsatun Khomsatun Kumara Ari Yuana Kusnawi Kusnawi Kusuma Chandra Kirana M rudyanto Arief M. Idris Purwanto M. Nurul Wathani M. Rudiyanto Arief M. Rudyanto Arief M. Zainal Arifin Mahmudi Mahmudi Mansur Mansur Marwan Noor Fauzy Maykel Sonobe Mei P Kurniawan Mei P. Kurniawan MEI PARWANTO KURNIAWAN Moh. Badri Tamam Muahidin, Zumratul Muh Saerozi Muhamad Fatahillah Z Muhamad Yusuf Muhammad Fajrian Noor Muhammad Mariko Muhammad Riandi Widiyantoro Muhammad Riza Eko S Muhammad Rudyanto Arief Mukti Ali Mulia Sulistiyono Muqorobin Muqorobin Muslihah, Isnawati Musthofa Galih Pradana Nanang Prasetiyantara Neno, Friden Elefri Nibras Faiq Muhammad Noor Abdul Haris Noviyanti P. Nur Hamid Sutanto Paradise, Paradise Patmawati Hasan Pawit Srentiyono Prabowo Budi Utomo Pramono Pramono Prasetio, Agung Budi Prasetyo, Adi Prastowo, Wahit Desta Reflan Nuari Retzi Yosia Lewu Ridlan Ahmad Rifan Ferryawan Ripto Sudiyarno Rita Wati Riyan Abdul Aziz Rizki Mawan Robi Wariyanto Abdullah Rona Guines Purnasiwi Rudyanto Arief Saikin Sigit Pambudi Simone Martin Marotta Siti Fatonah Siti Hartinah Siti Rahayu Siti Rokhmah Slamet Slamet Sri Handayani Sri Wulandari Sry Faslia Hamka Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudiana Sudiana Sugi Harsono Supriantara Supriantara Supriatin Supriatin Supriyati Supriyati Syaiful Ramadhan Teguh Sri Pamungkas Tito Prabowo Tri Andi Tri Anggoro Tri Haryanti Tutik Maryana Tutut Dwi Prihatin Umdatur Rosyidah Vera Wati Victor Saputra Ginting Wahyu Adie Saputro Walidy Rahman Hakim Widdi Djatmiko Winarnie Yovita Kinanti Kumarahadi Yudha Chirstianto F Yuliana Yulita Fatma Andriani Yulius Nahak tetik Yuni Ambar S Yusrinnatul Jinana triadin Yusuf Fadlila Rachman Zul Hisyam Zulkipli Zulkipli