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Engineering, Mathematics and Computer Science Journal (EMACS)
Published by Universitas Bina Nusantara
ISSN : -     EISSN : 26862573     DOI : https://doi.org/10.21512/emacs
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics
Engineering, MAthematics and Computer Science (EMACS) Journal invites academicians and professionals to write their ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food Technology, Computer Science, Mathematics, and Statistics through this scientific journal.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 2 No. 1 (2020): EMACS" : 6 Documents clear
Order Theory I and II As Foundations for Finding Relationship Between Formulas Stephanus Ivan Goenawan
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.5804

Abstract

Order theory is generated through the process of induction logic from solving several mathematical functions so that it can be formulated in general the pattern of regularity. If there are function and associates each other is organized and interconnected, then the constants will also be organized and interconnected. Similarly, if there are function and associates that are mutually regulated and the constants that make them organized and interrelated, then the function basis and associates will also have interconnected properties.
BINUS Online Learning Web User Experience Improvement Lena Chow
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.5816

Abstract

With the technology nowadays where information is one click away, news travels within seconds through online news, social media, chat, etc. It’s not impossible anymore for someone who lived miles away to get information at the same time with someone who live near the news’ source.  New business starts to grow aligned with advancement in information technologies to tap bigger market. Each of them have different ways of showcasing their products, and how they showcase products can influence their customers to continue using it and to eventually make decision to purchase. Stores are available in e-market form, public transportations’ tickets are available online, education industries start to have websites, some of them even have online classes. Whether you are a busy professional looking for the next career step or a school leaver wanting to start your career without sacrificing your education, online study would be the solution. Committed to providing a world class education with international learning experience that makes positive contributions to the global community, BINUS University implemented a method called BINUS Online Learning. The method allows students not to come to campus, because almost all lectures conducted through the online system. Learning-teaching activities are in BINUS Online Learning web (Learning Management System). To ensure Binus online web can be used as tool to achieve Binus online mission, then improvement should be done continuously. This paper will search for continuous improvement especially user experience.
Prototipe data warehouse pada instansi pelayanan pajak daerah: Studi kasus pada Badan Pendapatan Daerah Kabupaten Badung Devriady Pratama
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.5955

Abstract

Perpajakan daerah merupakan salah satu sarana pemerintah daerah untuk mendapatkan anggaran belanja pembangunan. Data perpajakan daerah sangat penting karena menjadi dasar rencana kemampuan pemerintah daerah untuk membuat anggaran. Sistem yang terintegrasi menjadi sangat penting guna mendapatkan sumber data yang lengkap dan valid untuk kepentingan analisis kebijakan daerah. Penelitian ini akan memberikan rancangan data warehouse bagi instansi pengelola pajak daerah guna pengelolaan data analisis yang lengkap dan cepat. Perancangan data warehouse dalam penelitian ini akan mengadopsi perancangan data warehouse oleh Ralph Kimball. Hasil dari penelitian ini adalah berupa rancangan data warehouse dengan sumber data dari beberapa aplikasi operasional yang ada yang dapat digunakan sebagai sumber data analisis yang lengkap dan cepat. Perancangan data warehouse mampu memberikan mekanisme integrasi data dan kemampuan analisis yang lebih luas.
Framework Prediksi Serapan Bekerja Alumni Berbasis Pembelajaran Mesin Devi Fitrianah; Yuli Harwani
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.6251

Abstract

Menentukan serapan lulusan di dunia industri yang dicetak oleh perguruan tinggi merupakan sebuah usaha yang harus dilakukan dalam rangka untuk dapat melihat ke efektifkan kurikulum akademik yang diberikan pada saat dibangku kuliah. Karakteristik serta proses yang dilakukan untuk mendapatkan prediksi dan pemetaan ini memerlukan analisis data yang kompleks. Sebuah pendekatan pembelajaran mesin dengan framework prediksi dapat diterapkan untuk mendapatkan pola, prediksi dan pemetaan serapan lulusan di dunia kerja. Selain itu tentunya akan didapat sebuah pola jenis mahasiswa dengan karakteristik akademik seperti apa yang cepat diserap di dunia industri. Artikel ini mencoba menjawab untuk mengembangkan sebuah pendekatan prediksi berbasis pembelajaran mesin untuk menentukan serapan lulusan di dunia industri.
Multilabel Classification for Toxic Comments in Indonesian Reinert Yosua Rumagit
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.6256

Abstract

The more rapid development of the internet world, users can make comments on a variety of content on social networks, such as social media, blogs and others. Free users make comments triggering negative comments, making insults and incitement. By classifying user comments it is hoped that the system can be smarter to be able to distinguish threat, insult and incitement comments. The technique for classifying user comments uses deep learning, consisting of 6 classes. The results of experiments that have been conducted show that deep learning models produce an accuracy rate above 98%.
Pengembangan Automatic Pet Feeder Mengunakan Platform Blynk Berbasis Mikrokontroller ESP8266 Heri Ngarianto; Alexander Agung Santoso Gunawan
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.6260

Abstract

In this paper, automatic pet feeder device was developed. This device is useful for feeding pets at home when all family members are busy working or traveling. The device settings can be controlled by the mobile application automatically, thus the pet owners can ensure the feeding of their pets. The development of this tool is based on an electronic board which uses an ESP8266 microcontroller namely WeMos D1 MINI and is equipped with a Relay Shield to control the amount of food released. In addition, through Blynk platform, the pet owners can control this device remotely. Pet feeding also can be done according to a schedule that can be pre-arranged as needed in realtime.

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