Jurnal Ilmu Komputer dan Sistem Komputer Terapan

PERANCANGAN ANIMASI 3D TEKNIK DASAR TAEKWONDO MENGGUNAKAN UNITY

Fachri Mufti — 2024-11-22

Many criminal acts often happen to everyone, such as sexual violence, pickpocketing, and others. Therefore, everyone must also be able to protect themselves from violence that can occur anywhere and also protect themselves from cities affected by crime. In Indonesia, there are generally martial arts such as karate, pencak silat, and others. In this study, we will explain the basic techniques of taekwondo martial arts. This learning uses an animated video tutorial of one of the knowledge used as access to the learning process. In learning the animation of basic taekwondo martial techniques, everyone must have an animation video of the basic taekwondo techniques. This animated video uses Unity software.

PEMILIHAN SQUAD DI GAME E-FOOTBALL MOBILE MENGGUNAKAN METODE TOPSIS

Ilham Pratama — 2024-11-22

In the 2024 mobile e-football game, gamers are challenged to build a strong team (squad) by selecting quality players. Most gamers rely on intuition or previous gaming experience in building their squad, which is often not optimal. The main obstacle in selecting the best squad is the number of variables and data that must be considered. Player statistics play an important role in determining a player's effectiveness on the field. The purpose of this research is to create a decision support system to use to form the best squad (team) in the 2024 mobile e-football game to assist gamers in determining players withmore systematic and data-based information to be included in the squad. This study uses the TOPSIS method which is one of the multi-criteria decision-making techniques used to select the best alternative from a set of existing alternatives. The results of the study show that the decision support system of the TOPSIS method can be used as an option to choose players in the 2024 mobile e-football game. From the results and testing of this decision support system, the players were allowed to be included in the squad based on the data input into the system, namely, the position of goalkeeper M. ter Stegen. Defender D. Alaba; Marquinhos; J. Kounde; and Eder Milirao. Midfielder J. Kimmich; J. Bellingham; and J. Musiala. Attacking player K. Benzema; H. Kane; and K. Mbappe.

PERANCANGAN APLIKASI MEDIA PEMBELAJARAN AUGMENTED REALITY (AR) PENGENALAN STRUKTUR LAPISAN BUMI BERBASIS ANDROID MENGGUNAKAN UNITY 3D

Putri Azzahra — 2024-11-22

Augmented Reality to create a new environment by combining the interactivity of real and virtual environments in real time so that users feel that the environment created is real. The model used in this research refers to the MDLC (Multimedia Development Life Cycle) type development model with 5 stages, namely Concept, Design, Material Collecting, Assembly, Testing and Distribution. The conventional learning process has been transformed into a digital form. One example is learning media, learning media is an effort designed in the learning process where material that is difficult to understand becomes easier to understand. To make it look more interesting, this learning media is made in the form of Augmented Reality. The results of this scientific work produce an application for learning about the structure of the earth's layers in the form of 3D Augmented Reality based on android, where when designing researchers use blender, unity 3D and vuforia applications.

Perancangan Sistem Pendukung Keputusan Pemilihan Smartphone Dengan Metode MABAC (Multi Objective Border Approximation Area Comparision)

Elfrans Arsendy Tampubolon — 2024-12-05

Pemilihan smartphone yang tepat menjadi tantangan di tengah beragamnya pilihan yang tersedia di pasar. Untuk mengatasi masalah ini, diperlukan sebuah sistem pendukung keputusan yang dapat membantu konsumen dalam menentukan pilihan terbaik berdasarkan berbagai kriteria. Penelitian ini bertujuan untuk merancang sebuah sistem pendukung keputusan pemilihan smartphone dengan menggunakan metode Multi-Objective Border Approximation Area Comparison (MABAC). Metode MABAC dipilih karena kemampuannya dalam menangani berbagai kriteria yang kompleks dan saling bertentangan, seperti harga, fitur, kualitas kamera, daya tahan baterai, performa, dan desain. Sistem yang dirancang dalam penelitian ini mengintegrasikan data dari berbagai sumber terpercaya, seperti ulasan pengguna, spesifikasi teknis, dan peringkat produk dari situs-situs teknologi ternama. Data yang terkumpul kemudian diolah menggunakan algoritma MABAC untuk memberikan skor akhir pada setiap alternatif smartphone yang tersedia. Proses ini melibatkan beberapa tahap, termasuk normalisasi data, penentuan bobot kriteria, dan perhitungan nilai akhir untuk setiap alternatif. Hasil dari implementasi sistem ini menunjukkan bahwa metode MABAC dapat memberikan rekomendasi smartphone yang sesuai dengan preferensi dan kebutuhan pengguna secara lebih objektif dan akurat. Pengguna dapat memasukkan preferensi mereka terkait bobot kriteria yang dianggap penting, dan sistem akan memberikan rekomendasi smartphone terbaik berdasarkan preferensi tersebut. Dengan demikian, sistem pendukung keputusan ini diharapkan dapat membantu konsumen dalam membuat keputusan yang lebih efektif dan efisien, serta mengurangi ketidakpastian dalam proses pemilihan smartphone.

Kata kunci: Smartphone, Sistem Pendukung Keputusan, MABAC