Hira Meidia
Universitas Multimedia Nusantara

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

Bershca: bringing chatbot into hotel industry in Indonesia Dennis Gunawan; Farica Perdana Putri; Hira Meidia
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14841

Abstract

Adopting technology could give competitive advantage and positively impact the hotel’s profitability, thus hotels should keep up with the latest hotel technologies. An important part in the hotel services is the customer service. A problem with the human-to-human customer services today is a long time in answering customers query. On the other hand, nowadays customers need easy and effective services. Thus, a chatbot is required to answer consumers' issues automatically which leads to higher customer satisfaction and a growing profit. Because of the need and there is still an absence of chatbot for hotel industry in Indonesia, this study is conducted. The chatbot for hotel industry in Indonesia, named Bershca, has been successfully developed using artificial intelligence markup language (AIML) to construct the knowledge. Google Flutter is used for the system’s front-end, while Python is used for the back-end of the system. As a text-preprocessing method, Nazief-Adriani Algorithm is implemented in the system’s back-end. The system is evaluated using technology acceptance model (TAM). As a result, 85.7% of the respondents believe that using chatbot would enhance their job performance and 84.33% of the respondents believe that using the technology would be free of effort.
Contour evolution method for precise boundary delineation of medical images Friska Natalia; Hira Meidia; Nunik Afriliana; Julio Christian Young; Sud Sudirman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14746

Abstract

Image segmentation is an important precursor to boundary delineation of medical images. One of the major challenges in applying automatic image segmentation in medical images is the imperfection in the imaging process which can result in inconsistent contrast and brightness levels, and low image sharpness and vanishing boundaries. Although recent advances in deep learning produce vast improvements in the quality of image segmentation, the accuracy of segmentation around object boundaries still requires improvement. We developed a new approach to contour evolution that is more intuitive but shares some common principles with the active contour model method. The method uses two concepts, namely the boundary grid and sparse boundary representation, as an implicit and explicit representation of the boundary points. We tested our method using lumbar spine MRI images of 515 patients. The experiment results show that our method performs up to 10.2 times faster and more flexible than the geodesic active contours method. Using BF-score contour-based metric, we show that our method improves the boundary accuracy from 74% to 84% as opposed to 63% by the latter method.
Rancang Bangun Aplikasi Pembelajaran Chord dan Melodi Gitar Berbasis Augmented Reality Daniel Hero Fersil Punuindoong; Hira Meidia
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 1 (2017): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.293 KB) | DOI: 10.31937/sk.v9i1.566

Abstract

In this study, the application of the basic concepts of chord and melody guitar is made by using marker-based Augmented Reality method. Unity 3D is used to build the application and Vuforia is used as a library of Augmented Reality, where the application can recognize the marker as the basis of the virtual 3D objects rendering chord and melody guitar by using Android smartphone. There are several colours and numbers to make it easier to know the type and position of the fingers used in forming a chord or a melody. Index Terms- Augmented Reality, Guitar 3D Chord, Guitar 3D Melodi, Unity 3D, Vuforia, Android
KAJIAN LITERATUR : PERBANDINGAN SENSOR DALAM MENSORTIR MATERIAL BERBAHAN METAL Hira Meidia; Sandy Prawira
Ultima Computing : Jurnal Sistem Komputer Vol 11 No 1 (2019): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1209.156 KB) | DOI: 10.31937/sk.v11i1.1085

Abstract

Dalam industri manufaktur banyak sekali digunakan komponen sensor yang berfungsi untuk mensortir barang sesuai kriteria yang dibutuhkan untuk mensortir material berbahan metal. Pada artikel ini, metode yang digunakan dalam mensortir material berbahan metal dan non-metal dibandingkan untuk mempelajari kelebihan metode-metode tersebut. Metode yang akan dibandingkan yaitu metode dengan menggunakan sensor proximity induktif, arus eddy, dan dual energy x-ray transmission. Pada sensor proximity induktif hanya dapat dipicu oleh material berbahan metal yang lewat didepannya. Sedangkan untuk metode arus eddy, pada ujung rotor konveyor belt ditanami magnet permamen sehingga menghasilkan arus yang dapat memisahkan bahan metal dan non-metal ketika rotor tersebut berputar. Pada metode dual energy x-ray transmission, jenis material benda yang lewat berdasarkan kepadatan dan warna akan terdeteksi oleh x-ray.