Articles
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
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DOI: 10.30871/ji.v14i1.3985
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%.
Mobile Augmented Reality Pengenalan Situs Sejarah Kawasan Banten Lama dengan Metode Marker Based Tracking
Budi Arifitama;
Ade Syahputra
JTERA (Jurnal Teknologi Rekayasa) Vol 3, No 2: December 2018
Publisher : Politeknik Sukabumi
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DOI: 10.31544/jtera.v3.i2.2018.255-260
Banten merupakan sebuah provinsi yang terletak di bagian ujung barat dari Pulau Jawa yang memiliki serangkaian sejarah dari masa kerajaan hingga saat ini. Bangunan peninggalan yang terdapat dari masa kerajaan hingga bangunan modern di wilayah Banten memiliki potensi yang baik jika diangkat sebagai lokasi landmark tujuan wisata. Namun, lokasi landmark bangunan yang dapat menjadi tujuan wisatawan belum dikelola dengan optimal. Pengenalan objek landmark yang telah ada melalui aplikasi mobile maupun website juga belum mampu memberikan ketertarikan pada para calon wisatawan untuk mengunjungi lokasi landmark. Untuk menjawab permasalahan tersebut, maka dilakukan penelitian pengembangaan aplikasi pengenalan objek pada sebuah titik lokasi landmark di kawasan Banten Lama dengan memanfaatkan teknologi Augmented Reality (AR) sebagai pendukung utama aplikasi mobile. Keunggulan penggunaan teknologi AR dari penelitian ini adalah dapat menjadikan sarana pembelajaran informasi menjadi lebih interaktif serta menarik. Pendekatan metode yang digunakan pada penelitian ini adalah menggunakan metode marker based tracking. Teknik pengambilan data pada penelitian ini adalah menggunakan teknik observasi dan studi lapangan. Dari hasil penelitian ini, dihasilkan sebuah aplikasi mobile berbasis teknologi AR yang berguna bagi para wisatawan untuk mengunjungi kawasan Banten Lama. Hasil uji fungsionalitas aplikasi oleh responden dengan beberapa pertanyaan mengenai aplikasi AR yang dirancang diperoleh nilai 80 dari skala 100.
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
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DOI: 10.30871/jatra.v2i2.2762
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.
Comparative Analysis of Pathfinding Algorithms A *, Dijkstra, and BFS on Maze Runner Game
Silvester Dian Handy Permana;
Ketut Bayu Yogha Bintoro;
Budi Arifitama;
Ade Syahputra
IJISTECH (International Journal of Information System and Technology) Vol 1, No 2 (2018): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa
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DOI: 10.30645/ijistech.v1i2.7
Maze Runner game is a game that requires pathfinding algorithm to get to the destination with the shortest path. This algorithm is used in an NPC that will move from start node to destination node. However, the use of incorrect algorithms can affect the length of the computing process to find the shortest path. The longer the computing process, the longer the players have to wait. This study compared pathfinding algorithms A *, Dijkstra, and Breadth First Search (BFS) in the Maze Runner game. Comparison process of these algorithms was conducted by replacing the algorithm in the game by measuring the process time, the length of the path, and the numbers of block played in the existing computing process. The results of this study recommend which algorithm is suitable to be applied in Maze Runner Game.
Sistem Pendukung Keputusan Penentuan Biji Kopi Berkualitas Menggunakan Metode Weighted Product
Ade Syahputra;
Budi Arifitama
JURNAL INTEGRASI Vol 15 No 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam
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DOI: 10.30871/ji.v15i1.4519
Coffee beans are one of the largest commodities in Indonesia, the level of consumption of coffee is increasingly in demand as time goes by the processing of coffee products consumed by the people of Indonesia. However, in determining quality coffee beans, it must comply with predetermined criteria. The different types of coffee used in the roasting and brewing process provide a different taste for each coffee produced. The purpose of this study was to determine which types of coffee beans are of high quality by using a Decision Support System approach regarding the quality of coffee beans using the Weighted Product (WP) Method. The weighted product method is used in this study because it is suitable to be applied by comparing coffee beans with the criteria they have by multiplying them to get the ranking results. The criteria in this study consisted of 5 criteria, namely, Aroma, Taste, Price, Roasting and Body. The final result of the ranking using the Weighted Product method is Sumatra coffee (0.2089), Ubud coffee (0.2082) and Kenya coffee (0.2005).
Klasifikasi Penyakit Kanker Serviks Berdasarkan Kebiasaan dan Rekam Medis dengan Metode C4.5
Kemal Taufiq Hidayah;
Budi Arifitama;
Silverster Dian Handy Permana
Jurnal Nasional Teknologi dan Sistem Informasi Vol 10, No 1 (2024): April 2024
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas
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DOI: 10.25077/TEKNOSI.v10i1.2024.36-44
Kanker serviks adalah salah satu penyakit yang paling sering ditemui dan dapat menyebabkan kematian pada Wanita di seluruh dunia. Di Indonesia, jumlah kematian akibat kanker serviks terus meningkat setiap tahun, sebgaian besar disebabkan oleh diagnosis dan skrining yang terlambat. berbagai faktor yang disebabkan oleh kanker serviks seperti kebiasaan yang dilakukan ialah, berganti-ganti pasangan seksual, merokok atau pasif merokok, memiliki infeksi kelamin, memiliki riwayat kanker dan sebagainya. untuk mendeteksi adanya kanker serviks atau tidak, dapat dilakukan dengan cara pemeriksaan tes IVA (inspeksi visual asam asetat) atau yang disebut dengan tes schiller. Metode klasifikasi ialah bagian dari Teknik data mining untuk melakukan prediksi, Dalam penelitian ini, ingin meningkatkan akurasi dengan menggunakan metode C4.5 untuk melakukan klasifikasi penyakit kanker serviks berdasarkan kebiasaan pasien. Dua belas atribut dan satu atribut dari hasil pengujian digunakan dalam proses klasifikasi. Dataset tersebut terdiri dari 1080 entri, yang akan dibagi menjadi 864 data dan 216 data pelatihan. Data ini diperoleh dari website UCI Repository. Penelitian ini menghasilkan akurasi sebesar 94.10%, presisi sebesar 95.57%, recall sebesar 96.33% dan AUC (Area Under Curve) sebesar 0.987 yang diukur menggunakan matrix confussion atau matriks kebingungan dengan alat rapidminer.
DEVELOPMENT OF ARTS LEARNING MEDIA USING AUGMENTED REALITY WITH MARKERLESS BASED TRACKING METHOD AT SMKN 47
Hanan, Ghali;
Arifitama, Budi;
Permana, Silvester Dian Handy
JISA(Jurnal Informatika dan Sains) Vol 6, No 2 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi
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DOI: 10.31326/jisa.v6i2.1758
During the transitional time between Covid-19 and endemic, all Indonesian schools, and SMKN 47 in particular, had restricted educational opportunities. Due to challenges encountered by the instructor and 36 students majoring in accounting in grade 12, they were unable to carry out teaching and learning activities at school; art lesson formats with three-dimensional learning modules must be visualized in 3D. However, with hybrid teaching and learning utilizing presentations, displaying the learned 3D forms is less successful. In order to visualize three dimensions in fine arts classes using augmented reality technology, we require a new learning medium. The application of the Markerless Based Tracking approach in this work enables the presentation of a tracked 3D model in the surrounding environment in real-time by merging the actual and virtual worlds as if their boundaries did not exist. The augmented reality system scans flat surfaces utilizing points, as opposed to markers or other auxiliary media. Points used as pedestals or containers to elevate three-dimensional items. There are three sculptures and three traditional dwellings on show. Online examination outcomes average resulted a 78.2% that the AR Fine Arts application by instructors and students are therefore consistent and well accepted.
LIGHT RAIL TRANSIT PUBLIC TRANSPORTATION QUEUE SYSTEM BASED ON ANDROID
Fransisco, Roy;
Arifitama, Budi
Jurnal Algoritma, Logika dan Komputasi Vol 3, No 1 (2020): Jurnal ALU, Maret 2020
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/j-alu.v3i1.2047
The more advanced and the development of the era tends to create more complex problems that needs to be solved. Queueing in Indonesia is a problem that is difficult to control. LRT (Light Rail Transit) is the most recent public transportation for the people living around Northern Jakarta. Most of the people want to try this new transportation, This creates a problem where usually people tend to not queueing in line when buying tickets. The solution fot this problem is by ordering online tickets or online queues over queueing traditionally. In this study, the Designing and programming methods used C # code on visual studio which is performed as a form of validation such as validation for Login and Registering; PHP code is used to connect the database for data registrants, users, and admin; and UML (Unified Modeling Language) for designing the system and database. With this online queue, it can help overcome the problem of crowded long and congested lines at the LRT station so that it can increase the culture of the queue for mutual order to be realized.
Implementasi Metode Analytic Network Process (ANP) dalam Pengangkatan Karyawan Tetap PT X
Marini, Ghaisani Nurisa;
Arifitama, Budi;
Permana, Silvester Dian Handy
Prosiding Seminar Nasional Universitas Ma Chung (Informatika & Sistem Informasi Bahasa dan Seni
Publisher : Ma Chung Press
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Proses peningkatan status karyawan kontrak menjadi karyawan tetap di PT X masih belum optimal. Proses pengangkatan dimulai dari HRD dengan melakukan seleksi awal berdasarkan absensi, pendidikan terakhir dan masa kerja, kemudian direkomendasikan kepada manajer untuk seleksi lebih lanjut. Proses ini memakan waktu lama karena kriteria penilaian manajer belum optimal. Untuk itu, diperlukan sistem pendukung keputusan berbasis website yang dapat membantu manajer dalam penilaian calon karyawan tetap sehingga penilaian menjadi lebih efektif dan efisien. Penelitian ini bertujuan membantu manajer dalam memilih kriteria dan membuat keputusan untuk menentukan karyawan tetap, serta menyediakan sistem pendukung keputusan berbasis website yang memudahkan manajer dalam memperoleh informasi mengenai status karyawan kontrak. Sistem ini dirancang menggunakan metode Analytic Network Process (ANP) untuk menghitung hasil penentuan karyawan tetap. Kriteria yang dipertimbangkan meliputi pemahaman pekerjaan, kreativitas, prestasi, perilaku, dan kerjasama tim. Tahapan ANP mencakup pembuatan matriks perbandingan berpasangan, penentuan nilai eigen vektor, dan pembuatan limiting supermatriks untuk menetapkan bobot akhir dari kriteria dan subkriteria. Hasil dari penelitian ini berhasil menentukan kandidat yang diangkat menjadi karyawan tetap sebanyak dua orang dari total sekian kandidat yaitu posisi pertama adalah kode B11 dengan Candra Setiawan skor 0.034, posisi dua kode C25 dengan Gema Ramadhan skor 0.033. sehingga ANP dapat membantu untuk memberikan alternatif keputusan kepada manager dalam pengangkatan karyawan tetap.
A Mobile Augmented Reality Application for Automotive Sparepart Installation
Arifitama, Budi;
Abdillah, Zihan Noor;
Syahputra, Ade;
Permana, Silvester Dian Handy;
Yaddarabullah, -
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 3 (2022)
Publisher : SOTVI
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DOI: 10.62527/ijasce.4.3.97
Automotive exterior spare parts retailers frequently sell exterior spare parts for a range of cars via direct sales transactions and online media. A major issue has come up for consumers who purchase products online must install spare parts independently, with limited instructions that make it difficult for customers to install the replacement components. This is demonstrated by nearly 50% of online consumers complaining to the seller about installation errors, indicating the need for a solution to these issues. Augmented reality was used as a solution to educate how to install automotive exterior spare parts. In this work, the Spatial Tracking technology is utilized to project objects from a viewpoint in order to send data digitally and show the 3D model to the object's surrounds in real time. This study included as samples rear-view mirrors, headlights, stop lamps, and fog lamps. According to the study's findings, The user acceptance test was carried out by online consumers who buy spare parts at the store, and the results of the average percentage score of the entire questionnaire by more than 53% agree and strongly agree that the use of augmented reality can ease the spare-part installation bought online, the results of testing the AVAR application by the user are successful and well accepted.