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Jurnal ULTIMA Computing
ISSN : 23553286     EISSN : 25494007     DOI : -
urnal ULTIMA Computing merupakan Jurnal Program Studi Sistem Komputer Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Komputer serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, organisasi dan arsitektur komputer, programming, embedded system, sistem operasi, jaringan dan internet, integrasi sistem, serta topik lainnya di bidang Sistem Komputer. Jurnal ULTIMA Computing terbit secara berkala dua kali dalam setahun(Juni dan Desember) dan dikelola oleh Program Studi Sistem Komputer Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
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Articles 110 Documents
Metoda Sederhana Distribusi Node Jaringan Sensor Nirkabel untuk Mengatasi Kehilangan Data Pada Saat Pengiriman Rifki Muhendra
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1766.56 KB) | DOI: 10.31937/sk.v9i2.657

Abstract

A simple method of wireless sensor network node distribution was developed to address data loss during transmission. A node consists of a microcontroller, radio frequency, and battery. The adjacent nodes are planted with programs that can build mesh networks. This network consists of multiple child networks and parent networks connected through a frequency router node. Communication between nodes in the network can take two ways. The average ping time measured for the node distribution model is small from 1 second and the bit error rate (BER) is 0%. Index Terms—Wireless sensor networks, mesh, frequency router node
Evaluasi Desain Pencahayaan Interior Pada Ruang Pertemuan Publik Berdasarkan Nilai Intensitas Pencahayaan Muhammad Salehuddin; Hednrico Firzandy Latupeirissa
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1561.425 KB) | DOI: 10.31937/sk.v9i2.672

Abstract

The emphasis of green building design is not only based on the use of energy consumption as efficiently as possible purpose, but another important aspect that it is also the comfort factor should be considered for the occupants in the building space itself. In this paper, we evaluate the comfort factor of public meeting room at New Media Tower Building, Universitas Multimedia Nusantara (C-UMN Building). The comfort factor to be evaluated is the artificial lighting inside the room (interior) according to standards that have been standardized locally and internationally. The evaluation process includes a quantitative approach through measuring the existing conditions by utilizing photometric elements such as illuminance and uniformity. The results of this measurement can practically provide information on whether the C-UMN Building space that has been meets the criteria of the ideal standard or not. Index Terms—DIALux, Green Building, Iluminance, Uniformity
Rancang Bangun Pengatur Suhu dan Sirkulasi Udara di Smoking Room Ahmad Syahril Muharom
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1515.212 KB) | DOI: 10.31937/sk.v9i2.697

Abstract

In this study, the application of temperature and air circulation control in the smoking room using a microcontroller. The Sensors applied to this Prototype are LM35 and DT-Sense CO. The method used design a controller and then apply it to the microcontroller. The sensor has been tested on a miniature smoking room. The results show sensors can work and good, although cigarette smoke and the temperature of the room changes, so air quality in the smoking room can be maintained. Index Term-Cigarette smoke, CO, automation, microcontroller, temperature sensor, smoke sensor
Literature Review: Metode Komputasi Numerik untuk Analisis Gelombang Elektromagnetik Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1514.951 KB) | DOI: 10.31937/sk.v9i2.699

Abstract

This paper reviews the conceptual background and some application of numerical computational method for electromagnetic waves. In this literature review, our discussion is limited to Finite Element Method (FEM), Finite Difference Time Domain (FDTD) Method, and Method of Moment (MoM). Definition and characteristic of each method is explained, including the theoretical principles along with strength and weakness for every method. The method for solving electromagnetic problems can be selected based on the object’s shape, researcher’s domain concerned, and Maxwell equation associated with the problem. By reading this paper, readers will not only grasp the theoretical explanation but also gain the big picture of each numerical computational method. Indeks Terms— FEM, FDTD, MoM, Numerical Computational Method
Maximum Power Point Tracking pada Sel Surya menggunakan Extreme Learning Machine Wolfgang Jalma
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1226.727 KB) | DOI: 10.31937/sk.v9i2.701

Abstract

Maximum Power Point Tracking is a method to obtain maximum harvest of PV solar cell. Due to PV nonlinearity, a lot of novel approach has been. One of the most prominence is neural network, that usually can solve this nonlinearity formulation, although needs relatively longer time in order to train, making it unfeasible for real implementation. This research tried to accelerate the training of the neural network based MPPT, using Extreme Learning Machine, with quite promising results. Index Terms—Maximum Power Point Tracking, Neural Network, PV Solar Cell, Extreme Learning machine.
Fast Tracking of Detection Offenders Smoking Zone Menggunakan Sensor MQ-2 Berbasis Internet of Things Fredy Susanto; Syafnidawati Syafnidawati
Ultima Computing : Jurnal Sistem Komputer Vol 10 No 1 (2018): 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 (1447.713 KB) | DOI: 10.31937/sk.v10i1.749

Abstract

With the increasing violations by smokers in free zone cigarettes, very affecting for human health cigarettes or not smokers. So that designed a supervision system to reduce the number of violations by smokers. The system is based on the aimed to detect and provide a warning to smokers that the room cannot be cigarettes if breaking will be imposed sanctions. This system is made up of hardware, consists of smoke sensor base their MQ2, Camera C270 and Raspberry pi. This system created by the language of Python programming technique. How this appliance if violations by smokers, when smoke is detected then the webcam will take pictures of the offenders and the results of the photo will be sent automatically to the email, if the results of the photo has been sent to email and alert sound alarm will be active and a notification that in the area cannot be cigarettes. The results of the design of this system is not only to detect and provide a notification only, but it also has been able to give a warning and evidence of who is a breach in the zone. Index Terms— Smoke sensor, MQ-2, raspberry pi
Implementasi Algoritma Prim Dalam Penentuan Ikatan Senyawa Kimia Olivia Benazir Ester Tiwow; Adhi Kusnadi
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1171.018 KB) | DOI: 10.31937/sk.v9i2.789

Abstract

This research concerns the implementation of Prim algorithm in the determination of bond of a chemical compound. By doing a minimum spanning tree search of a weight graph that has been created. Input from the user in the form of chemical compounds will be processed so that the compound can be divided into elements that will act as nodes on the prime algorithm. Weight of the tangent node is obtained from the comparison of the minimum number of atoms that can react between the two elements that will be bonded to each other. Applications developed on the basis of the web by considering the functionality of the design can be accessed by many people. System design is poured into HTML and Javascript programming language. All design functionality is poured into the Javascript programming language. This study is still limited to programs that can only process the input of compounds that are in class A in the periodic table. And preformed compounds such as SO42-, HO3-. This application has an accuracy rate of 77.41% and 66.67% of testers said that this application is useful for Indonesian education. Index Terms—Chemical Compound, prim algoritm, minimum spanning tree, website, Javascript.
Pengenalan Finger Vein Menggunakan Local Line Binary Pattern dan Learning Vector Quantization Jayanti Yusmah Sari; Rizal Adi Saputra
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 2 (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 (1709.864 KB) | DOI: 10.31937/sk.v9i2.790

Abstract

This research proposes finger vein recognition system using Local Line Binary Pattern (LLBP) method and Learning Vector Quantization (LVQ). LLBP is is the advanced feature extraction method of Local Binary Pattern (LBP) method that uses a combination of binary values from neighborhood pixels to form features of an image. The straight-line shape of LLBP can extract robust features from the images with unclear veins, it is more suitable to capture the pattern of vein in finger vein image. At the recognition stage, LVQ is used as a classification method to improve recognition accuracy, which has been shown in earlier studies to show better results than other classifier methods. The three main stages in this research are preprocessing, feature extraction using LLBP method and recognition using LVQ. The proposed methodology has been tested on the SDUMLA-HMT finger vein image database from Shandong University. The experiment shows that the proposed methodology can achieve accuracy up to 90%. Index Terms—finger vein recognition, Learning Vector Quantization, LLBP, Local Line Binary Pattern, LVQ.
Pembangunan Web Service Data Masyarakat Menggunakan REST API dengan Access Token Muhammad Iqbal Perkasa; Eko Budi Setiawan
Ultima Computing : Jurnal Sistem Komputer Vol 10 No 1 (2018): 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 (2650.374 KB) | DOI: 10.31937/sk.v10i1.838

Abstract

Data is one of the most important things in this information and information technology era that evolving now. Currently, the government still has not used the public data maximally for administrative purposes. Utilization of this big population data is the creation of a web service application system with REST API where this data will be open and accessible to those who have access. One of the institutions that use this service is the Manpower and Transmigration Service where this system can make the Dinas staff more efficient to create and register job search cards using available community data. This application is able to provide and facilitate many parties, such as data administrators to monitor data usage, registration employee in input data, and people able to register independently. Index Terms—Web service, API, Rest api, People data
Rancang Bangun Sistem Rekomendasi Restoran Menggunakan Metode AHP dan VIKOR pada Platform LINE Andre Utomo Martliong; Ni Made Satvika Iswari
Ultima Computing : Jurnal Sistem Komputer Vol 10 No 1 (2018): 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 (2159.293 KB) | DOI: 10.31937/sk.v10i1.847

Abstract

Since 2012 until 2017, culinary business in Indonesia has increased by an average 7% to 14% per year. Nowadays, application technology such as Zomato, helps consumers to find information about restaurant’s promos, advantages and disadvantages of a restaurant, and variations of the menu their provided. People who owned the culinary business can interact directly with consumers through social media such as LINE. LINE has 90 million users that communicate with each other by using features that LINE’s provided, such as stickers, news portals, voice and video calls, and LINE Message API service. With 90 million LINE’s users in Indonesia and growing culinary business, developing a restaurant recommendation system in LINE will provide solutions to many people, which inspired the author to develop this system. Data of restaurant it’s taken using Zomato API. Developing this system needs a method of AHP (Analytic Hierarchy Process) and VIKOR (VIsektriterijumsko KOmpromisno Rangiranje), where the application will be built using PHP language. The AHP method is used to assign a weighting value to criteria, and the VIKOR method is used to sort the best alternative option. Based on research through questionnaires, this system’s design and implementation has reached 71,13 value of usability, which mean that system is useful to help people to find restaurant their looking for. Index Terms - Culinary, Zomato API, LINE Message API, AHP, VIKOR

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