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Sistem Pendukung Keputusan untuk Merekomendasikan Pilihan Laptop Menggunakan Metode Weighted Product Fitra Fatimah Putri; Aldi Mulia; Budi Arifitama
Jurnal Teknologi dan Riset Terapan (JATRA) Vol 2 No 2 (2020): Jurnal Teknologi dan Riset Terapan (JATRA) - December 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jurnal teknologi dan riset terapan (jatra).v2i2.2762

Abstract

In this modern and technological age, laptops have become a primary need or a primary need for everyone. Because laptops can help get some work done faster. The increased production of the laptop market with an assortment of specifications and brands may be confusing for users who just want to buy a laptop. This research proposes a decision support system to determine which laptop option is best according to the user's needs. Weighted Product method produces decisions by comparing between alternatives based on the function of preferences and weights that vary from each criterion where the result of the decision is determined from the rating results. The criteria used as an assessment to recommend laptop options are processor (C1), RAM (C2), storage (C3), and price (C4). From this developed system will produce a list of top 10 rankings based on the weight given or inputted by the user. With this system can help new people or users in determining the choice of the best laptop to use as needed.
Analisis Perbandingan Efektifitas Metode Marker dan Markerless Tracking pada Objek Augmented Reality Budi Arifitama; Ade Syahputra; Ketut Bayu Yogha Bintoro
JURNAL INTEGRASI Vol 14 No 1 (2022): Jurnal Integrasi - April 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i1.3985

Abstract

Markers in augmented reality is an important component for the emergence of an augmented reality object. The function of the marker is to mark the location of an augmented reality object. Currently, there are two types of markers used in the development of augmented reality, namely marker-based tracking and markerless-based tracking. Marker-based tracking has a marker with a pattern on a printed media. Meanwhile, Markerless-based tracking has a point distribution pattern based on a flat surface. Unfortunately, several previous studies that developed AR applications did not have information on the effectiveness and accuracy between the two methods. It is very important to measure the accuracy of the appearance of AR objects to determine the appearance of AR objects, failing to choose the marker used will cause instability in the appearance of AR objects. This study tested the two markers which is distance, height and angle as a parameter. The results of the test stated that markerless tracking was superior to distances of 150 cm with an accuracy rate of 93% while marker-based tracking was only 83.3%.