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All Journal JAIS (Journal of Applied Intelligent System) Journal of Informatics and Electronics Engineering (JIEE)
Ari Sudrajat
Politeknik TEDC Bandung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Indonesian Language Hoax News Classification Basedn on Naïve Bayes Ari Sudrajat; Ratna Rizky Wulandari; Elvathna Syafwan
Journal of Applied Intelligent System Vol 7, No 1 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i1.5985

Abstract

Hoax news in Indonesia causes various problems, therefore it is necessary to classify whether a news is in the hoax category or is valid. Naive Bayes is an algorithm that can perform classification but has a weakness, namely the selection of attributes that can affect accuracy so that it needs to be optimized by giving weights to attributes using the TF-IDF method. Classification using Naive Bayes and using TF-IDF as attribute weighting on a dataset of 600 data resulted in 82% accuracy, 84% precision, and 89% recall. The suggestion put forward is that it is better to use a larger number of datasets in order to produce higher accuracy.
Naive Bayes Performance in Analysis of Public Opinion Sentiment Against COVID-19 Ayu Hendrati Rahayu; Ari Sudrajat
Journal of Applied Intelligent System Vol 7, No 3 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i3.7134

Abstract

The huge impact caused by the COVID-19 pandemic has made many people express their opinions on Twitter social media. There are various responses given by the community that are negative and positive. The dataset comes from kaggle with more than 750 tweets of data. Classification designed by the Naive Bayes method. Implementation through preprocessing, case folding, tokenizing, stopword removal, TF-IDF, and cross validation has been able to produce quite high accuracy. After classification, validation will be carried out with Cross Fold Validation. The best value is on cv5 where accuracy = 0.847, precision = 0.855, recall = 0.83, and f1 score = 0.842.
SISTEM INFORMASI PENGAJUAN HAK KEKAYAAN INTELEKTUAL BERBASIS WEB (STUDI KASUS POLITEKNIK TEDC BANDUNG) Ari Sudrajat; Heri Hermawan
Journal of Informatics and Electronics Engineering Vol 2 No 2 (2022): Desember 2022
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1032.329 KB)

Abstract

Perlindungan terhadap hak kekayaan intelektual merupakan hal yang sangat penting, kreatifitas yang berasal dari ide dan pengetahuan merupakan asset yang tidak ternilai. Dibuatnya sistem informasi ini dengan harapan dapat memudahkan dan mengurangi kemungkinan tidak terjaminnya perlindungan tersebut juga tidak terjadi tumbukan pengajuan HAKI di Politeknik TEDC Bandung. Metodologi yang digunakan dalam proses pembuatan sistem ini adalah metodologi SDLC (Software Development Life Cycle) dengan model XP (Extreme Programming) yang terdiri dari 4 tahap yaitu planning, design, coding, test. Aplikasi dibangun menggunakan Visual Studio Code berdasarkan pada kebutuhan pengguna yang diperoleh dari hasil observasi dan dimplementasikan menggunakan PHP, HTML, Bootstrap. Hasil pengujian menggunakan black box testing telah berjalan sesuai dengan skenario pengujian. Sedangkan hasil uji User Acceptance Test (UAT) dilakukan terhadap 16 responden berdasarkan tiga parameter (desain, fitur dan kepuasan pengguna) dan 8 parameter uji. Secara keseluruhan hasil uji menunjukan nilai rata-rata 4,5 (89,5%) artinya aplikasi dapat diterima oleh pengguna dengan baik.
Aplikasi Pembayaran SPP Sekolah Terintegrasi Whatsapp Berbasis Web Ari Sudrajat; Shaffira Kusuma Wardhani; Riri Damayanti Apnena
Journal of Informatics and Electronics Engineering Vol 3 No 1 (2023): Juni 2023
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses pencatatan pembayaran yang kurang optimal dapat menyebabkan hilangnya data yang berakibat tidak akuntabel pada pembuatan laporan, seperti permasalahan yang ditemukan di SMK Mohamad Toha Cimahi sistem pembayaran SPP masih menggunakan sistem manual dimana Petugas Tata Usaha masih melakukan pencatatan menggunakan buku catatan pembayaran SPP. Hal ini menyebabkan banyak kesalahan yang terjadi dan memakan banyak waktu dalam proses pencatatan pembayaran SPP. Metode pendekatan yang penulis gunakan, menggunakan Metode Agile Develoment dengan model Extreme Programming. Pembangunan sistem akan di buat berbasis Web dengan terintegrasi pada aplikasi Whatsapp. Penyelesaian permasalahan pada saat implementasi sistem, penulis menggunakan bahasa pemrograman PHP, CSS, JavaScript, Node JS dengan framework laravel serta basis data MySQL. Metode pengujian sistem menggunakan Black Box dan User Acceptance Test (UAT), pengujian yang telah dilakukan menunjukan hasil yang sangat baik sebesar 88,43% yang diperoleh dari 14 orang responden dengan pengukuran terhadap 3 variabel yaitu desain 89,98%, fitur 86,76% dan kepuasan pengguna 88,56%. Kata Kunci— Aplikasi, SPP, Whatsapp, Web Abstrack— The process of recording payments that are less than optimal can cause loss of data which results in no accountability in preparing reports, such as the problems found at SMK Mohamad Toha Cimahi. This causes many errors to occur and takes a lot of time in the process of recording tuition fee payments. The approach method that the author uses, uses the Agile Development Method with the Extreme Programming model. The development of the system will be made web-based integrated into the WhatsApp application. Solving problems during system implementation, the author uses the programming language PHP, CSS, JavaScript, JS Node with the Laravel framework and MySQL database. The system testing method uses a Black Box and User Acceptance Test (UAT), the tests that have been carried out show very good results of 88.43% obtained from 14 respondents by measuring 3 variables, namely design 89.98%, features 86.76% and user satisfaction 88.56%. Keyword— Application, Tuition Fee, Whatsapp, Web
Co-Authors Ayu Hendrati Rahayu Elvathna Syafwan Heri Hermawan Ratna Rizky Wulandari Riri Damayanti Apnena Shaffira Kusuma Wardhani