Articles
Improvement of Email And Twitter Classification Accuracy Based On Preprocessing Bayes Naive Classifier Optimization In Integrated Digital Assistant
Aldo Erianda;
Indri Rahmayuni
JOIV : International Journal on Informatics Visualization Vol 1, No 2 (2017)
Publisher : Society of Visual Informatics
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DOI: 10.30630/joiv.1.2.21
This research focuses on improving the accuracy  of email and twitter classification. Spelling mistakes and lack of matches with bag of word causes the low accuracy in classifying. This research used naïve Bayes as a text classification algorithms. Text is divided into three categories: personal, work and family. To achieve maximum likelikehood value for  the category, a better preprocessing techniques is needed. It is necessary for the process to normalize the preprocessing and search for words that correspond to classes in the bag of word. So that the text can be classified by category or has a higher precision accuracy.
Rancang Bangun Aplikasi Knowledge Management Berbasis Web
Yance Sonatha;
Indri Rahmayuni;
Alde Alanda;
Iswandi Saputra
invotek Vol 18 No 2 (2018): INVOTEK: Jurnal Inovasi, Vokasional, dan Teknologi
Publisher : Universitas Negeri Padang
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DOI: 10.24036/invotek.v18i2.423
Knowledge management is an organization of knowledge held by individuals within an organization. With knowledge management,an individual knowledge can be own by organization so it can give a benefit to organization in order to enhance business competitiveness.Management and documentation of the knowledge in order to become a reference for all the employee within the organization are need a development and implementation of appropriate knowledge management system. The implementation of knowledge management system must be supported by specific features to store and organize the existing knowledge.To overcome this problem, a knowledge management system was designed in the form of a web-based programming system using PHP programming languages with GTFW and MySQL Framework. Knowledge management systems are equiped with data search facilities, documentation and records of problems, information and download features from each of available documents.
Pembangunan Aplikasi Tracking Kecelakaan Lalu Lintas (Fast Help) Berbasis Mobile
Yance Sonatha;
Ervan Asri;
Indri Rahmayuni;
Yogi Febrian Wibawa
invotek Vol 19 No 2 (2019): INVOTEK: Jurnal Inovasi, Vokasional, dan Teknologi
Publisher : Universitas Negeri Padang
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DOI: 10.24036/invotek.v19i2.441
Kecelakaan lalu lintas merupakan masalah yang hampir terjadi di seluruh Negara di dunia ini. Masalah ini perlu penanganan serius untuk mencegah terjadinya kerugian dan korban yang lebih banyak. Penelitian ini mengembangkan aplikasi fast help yang mampu mengirimkan titik lokasi terjadinya kecelakaan pada pihak rumah sakit terdekat sehingga pertolongan terhadap korban dapat segera diberikan. Aplikasi ini dibangun dari dua sisi yakni server berbasis web dan client berbasis android. Aplikasi ini sudah diujikan pada beberapa titik lokasi di Kota Padang Sumatera Barat.
PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI PENELITIAN PADA UPT. PPKM ( UNIT PELAKSANA TUGAS PENELITIAN PENGABDIAN KEPADA MASYARAKAT ) POLITEKNIK NEGERI PADANG
Deni Satria;
Defni defni;
Ervan Asri;
Indri Rahmayuni
Elektron : Jurnal Ilmiah Vol 5 No 1 (2013): Elektron Jurnal Ilmiah
Publisher : Teknik Elektro Politeknik Negeri Padang
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DOI: 10.30630/eji.5.1.45
This study aimed to create an information system on UPT.PPKM Padang State Polytechnic where the system is initially UPT.PPKM are still using Microsoft Access to process data that existing research. So that would make it difficult for employees to process the data, find the data if necessary and to report the research itself. The results of this study are expected to generate a summary report every major research, courses, lecturers so as to facilitate the search data related to research quickly. Making this system using PHP and MySQL
ANALISIS SISTIM INFORMASI AKADEMIK BERBASIS WEB MENGGUNAKAN MODEL KANO
Humaira Humaira;
Indri Rahmayuni;
Defni Defni
Jurnal Momentum ISSN 1693-752X Vol 18, No 1 (2016): Volume 18 No. 1 Februari 2016
Publisher : ITP Press
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Metode yang digunakan dalam pembangunan Sistem Informasi Akademik adalah metode Spiral. Metode ini sangat cocok diimplementasikan untuk pengembangan sistem yang menitikberatkan pada evaluasi dan analisa resiko. Analisa resiko pada penelitian ini menggunakan model Kano. Analisa kepuasan pengguna terhadap fungsionalitas sistem informasi akademik menghasilkan bahwa 92% fungsionalitas telah dapat memuaskan pengguna. Key words : siakad, web, model kano
ENKRIPSI SMS (SHORT MESSAGE SERVICE) PADA TELEPON SELULAR BERBASIS ANDROID DENGAN METODE RC6
Defni Defni;
Indri Rahmayuni
Jurnal Momentum ISSN 1693-752X Vol 16, No 1 (2014): Volume 16 No 1 Februari 2014
Publisher : ITP Press
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SMS (Short Message Service) is a service to send a sort message that many used in telephone, but in service of a SMS provider have infrequent method to make data of it be more secure, this making service of SMS have so many security gap that making data possibly lost or will be a third person who can access data of SMS. Android is a lateset mobile operating system from Google, android make programmer possibly develop the application easly to use in smartphone and tablet. Cybercryp SMS is an application that designed for android system that will use to secure data that use service of SMS. RC6 algorithm for encryption and decryption will be use in service of sender and receiver message from Short Message Service, that will use a private key and symmetric password for make data will be more secure and security gab can be resolved.
IT GOVERNANCE BALANCED SCORECARD UNTUK MENGUKUR KINERJA TATA KELOLA TEKNOLOGI INFORMASI
Indri Rahmayuni;
Ikhsan Yusda
Jurnal Momentum ISSN 1693-752X Vol 16, No 2 (2014): Volume 16 No 2 Tahun 2014
Publisher : ITP Press
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Balanced scorecard tata kelola teknologi informasi diperoleh dari penggabungan gambaran balanced scorecard teknologi informasi dan balanced scorecard bagi dewan perusahaan. Tantangannya adalah untuk membangun sebuah scorecard yang dapat menangkap kinerja proses TI pengelolaan bersama dengan perbedaan dengan IT BSC dan Board BSC. Perspektif kontribusi perusahaan pada konsep IT Governance BSC yang diajukan cocok dengan fungsi TI.Meningkatkan kinerja tata kelola TI adalah alasan utama untuk membangun dan menerapkan balanced scorecard tata kelola teknologi informasi. Harus jelas bahwa hanya mengukur saja tidaklah cukup; scorecard harus diimplementasikan sebagai sistem manajemen. Dengan balanced scorecard tata kelola TI, organisasi dapat memberdayakan dewan mereka, CEO, CIO, manajemen eksekutif,serta bisnis dan partisipan TI dengan memberikan mereka informasi yang diperlukan untuk bertindak dan mencapai perpaduan yang lebih baik antara bisnis dan TI dan pada akhirnya mencapai hasil yang lebih baik. Dalam hal ini, scorecard tata kelola TI dapat memainkan peran penting dalam keseluruhan program yang harus di tempat untuk meningkatkan tata kelola perusahaan.
Aplikasi Pencarian Dokter di Kota Padang Berbasis Mobile
Yance Sonatha;
Ervan Asri;
Indri Rahmayuni
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 10, No 3 (2021): NOVEMBER
Publisher : ISB Atma Luhur
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DOI: 10.32736/sisfokom.v10i3.1261
Nowadays people have started to realize the importance of health. Everyone wants to quickly find out where the right doctor is if they want to get health services or have shown certain symptoms of illness. This research resulted in an application called "find doctor" which aims to be able to find the location and information of the doctor closest to the user while in the city of Padang. This study adopted stages of the Waterfall Model and was built using the Location Based Service method provided by Android. This application is built from two sides, namely the android client and the web server. This research produces an application that can find the location and information of the desired doctor's practice in the city of Padang. Applications that can be accessed using an internet browser (server) and android smartphone (client) with a minimum Android 5.0 operating system.
Pemanfaatan Metode Kano Untuk Menilai Tingkat Kepuasan Pengguna Terhadap Fungsionalitas Sistem Informasi Kepegawaian (Studi Kasus : AKNP Pelalawan)
Indri Rahmayuni;
Humaira Humaira;
Defni Defni
Jurnal Inovtek Polbeng Seri Informatika Vol 1, No 2 (2016)
Publisher : P3M Politeknik Negeri Bengkalis
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DOI: 10.35314/isi.v1i2.132
Intisari - Pada Akademi Komunitas Negeri Pelalawan (AKNP) diperlukan sebuah sistem informasi yang nantinya akan memudahkan pengelola dalam mengolah data-data yang berhubungan dengan kepegawaian sehingga data tersebut tersimpan dan terkelola dengan baik menggunakan sebuah basis data. Sistem informasi kepegawaian ini memiliki 36 buah fungsionalitas/fitur. Kepuasan pengguna terhadap fungsionalitas sistem ini akan dianalisis menggunakan metode Kano. Kusioner Kano yang dibuat berdasarkan fungsionalitas sistem disebar kepada 24 orang responden yang merupakan pengguna sistem ini. Dari pengolahan kuisioner, didapatkan bahwa seluruh fungsionalitas sistem berada pada kategori one-dimensional dimana seluruh fitur telah memenuhi kebutuhan kinerja sistem. Oleh karena itu pengembangan/perbaikan sistem informasi akan difokuskan pada penambahan fitur yang menambah daya tarik sistem informasi. Kata Kunci - sistem informasi kepegawaian, kepuasan pengguna, metode Kano
Detection of Mask Usage Using Image Processing and Convolutional Neural Network (CNN) Methods
Ervan Asri;
Yance Sonatha;
Indri Rahmayuni;
Meri Azmi
Jurnal Teknologi Informasi dan Pendidikan Vol 15 No 1 (2022): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang
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DOI: 10.24036/jtip.v15i1.548
Since the first case of COVID-19 was discovered in Indonesia in March 2020, the number of positively contaminated patients is increasing every day. On April 13, 2021, there were 1,571,824 patients who were positively contaminated with COVID-19. Various efforts have been made to suppress the spread of this dangerous virus, one of which is by implementing health protocols that must be obeyed when someone is in a crowd. The recommendation to use masks is a form of health protocol. Often people ignore the importance of using masks in public places, sometimes masks are used not in accordance with justified recommendations. For this reason, research is proposed which will later produce a system that can detect whether someone has used a mask correctly. The system was developed using a deep learning method using a convolutional neural network (CNN). CNN will classify data objects in the form of images / user images and determine whether they are wearing masks correctly or not. The output of the system in the form of audio will be delivered through speakers installed adjacent to the camera which will scan the user's face.