Jurnal Transformatika
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APLIKASI MOBILE AUGMENTED REALITY BERBASIS VUFORIA DAN UNITY PADA PENGENALAN OBJEK 3D DENGAN STUDI KASUS GEDUNG M UNIVERSITAS SEMARANG
Get PDFRealitas tertambah, atau kadang dikenal dengan singkatan bahasa Inggrisnya AR (augmented reality), adalah teknologi yang menggabungkan benda maya dua dimensi dan ataupun tiga dimensi ke dalam sebuah lingkungan nyata tiga dimensi lalu memproyeksikan benda-benda maya tersebut dalam waktu nyata. Tidak seperti realitas maya yang sepenuhnya menggantikan kenyataan, realitas tertambah sekedar menambahkan atau melengkapi kenyataan.Penelitian ini menggunakan metode pengembangan sistem waterfall, dimana alur penelitian akan mengikuti fase fase yang ada di waterfall. Aplikasi ini akan dibangun dengan menggunakan Unity3D dan Vuforia.Tujuan dari penelitian ini adalah menghasilkan suatu aplikasi bantu pembelajaran untuk memudahkan mahasiswa dalam memahami materi augmented reality melalui perangkat mobile. Sehingga mahasiswa juga dapat memahami bagaimana mobile augmented reality dapat membantu mahasiswa melihat secara nyata objek 3D secara interaktif
PENERAPAN SENTIMENT ANALYSIS PADA HASIL EVALUASI DOSEN DENGAN METODE SUPPORT VECTOR MACHINE
Get PDFThe quality of lectures can be determined by some feedbacks from students. From the feedbacks, we can give appreciations for those lectures who get good feedback from students, and evaluations for those who get bad feedback. The problem is classifying large size of feedbacks manually isn t effective and took a lot of time. Therefore, we need a system that can classify feedbacks automatically. These feedbacks will be classified into positive, negative, and neutral, usually called as sentiment analysis. Sentiment analysis implementation can be done by several methods, one of them that has a good accuracy is Support Vector Machine (SVM). SVM performance in this research is measured with the level of accuracy. The number of accuracy indicate the success level of system. The conclusion of this research is factors that affects the accuracy. The factors are the range of each classes and number of unique words in the training document
Rancang Bangun Aplikasi E-Donor untuk Pendataan Donor Darah di PMI Kota Surabaya
No full textBlood Donor activities have become Government Programs that provide many benefits, not only to donor recipients but also to donors. Each year, PMI targets up to 4.5 million bags of blood in accordance with national blood requirements, adjusted to the World Health Organization (WHO) standard of 2% of the population for each day. Therefore, regular blood donor activities are always held. But not everyone can donate blood every time. There are health prerequisites and a minimum grace period for someone to be able to re-donor. Not everyone knows the information about this blood donor activity. In addition, often active donors forget the time of re-donor. E-Donor application to be built is trying to solve the problem. Application development using System Development Life Cycle method. As a first step, the scope of the study is limited to PMI coverage in Surabaya
ANALISA PENDETEKSIAN WORM dan TROJAN PADA JARINGAN INTERNET UNIVERSITAS SEMARANG MENGGUNAKAN METODE KALSIFIKASI PADA DATA MINING C45 dan BAYESIAN NETWORK
Get PDFWorm attacks become a dangerous threat and cause damage in the Internet network. If the Internet network worms and trojan attacks the very disruption of traffic data as well as create bandwidth capacity has increased and wasted making the Internet connection is slow. Detecting worms and trojan on the Internet network, especially new variants of worms and trojans and worms and trojans hidden is still a challenging problem. Worm and trojan attacks generally occur in computer networks or the Internet which has a low level of security and vulnerable to infection. The detection and analysis of the worm and trojan attacks in the Internet network can be done by looking at the anomalies in Internet traffic and internet protocol addresses are accessed.This research used experimental research applying C4.5 and Bayesian Network methods to accurately classify anomalies in network traffic internet. Analysis of classification is applied to an internet address, internet protocol and internet bandwidth that allegedly attacked and trojan worm attacks.The results of this research is a result of analysis and classification of internet addresses, internet protocol and internet bandwidth to get the attack worms and trojans
SISTEM PENDUKUNG KEPUTUSAN FOOD COMBINING DENGAN METODE FORWARD CHAINING
Get PDFPublic awareness of healthy eating is increasingly formed.However, healthy eating knowledge possessed by each individual is still minimal. This decision support system will use forward chaining method to draw conclusions from the facts already known. Output from the application of this decision support system is the decision whether a food that will be consumed , either for combined or not. The purpose of this research is to create a decision support system of food combining with forward chaining method. This research is expected to help the user in decision making with regard healthy diet food combination
ALTERNATIF MEDIA PEMBELAJARAN DENGAN LEARNING MANAGEMENT SYSTEM MOODLE PADA FAKULTAS TEKNOLOGI INFORMASI DAN KOMUNIKASI UNIVERSITAS SEMARANG
Get PDFLearning methods development in enducation world has grown rapidly in last few years. This rapid development becomes needs for the education in Indonesia. As the Information Techonolgy has been improved, the learning methods has to be improved also, using the concept of learning management system based on information technology. This concept then well known as e-Learning , bringing a kind of learning transformation. From convensional methods becomes digital , in contents also in the systems. In this case, there is an application to run e-Learning , which is called Moodle. Moodle is one of Learning Management System tool which is usually used by education institutions. Moodle is open source software ,can be relied to meet the users needs and supplies some additional moduls.This research tried to apply Moodle as one of alternative learing model in Learning Based Competency Curriculum in the Faculty of Information Technology and Communication Universitas Semarang, especially Information System major. Try out has been done to four classes with two different lessons and some students as subject. The result is e-Learning product using Moodle as a software package . As one of evaluation subject, questionaire has been distributed to students as a research subject
Decision Support System For Approval New Student And Majoring Selection Based On Student s Interest And Talent By Fuzzy Multiple Decision Making, Simple Additive Weighting And Buble Sort Method In SMK Telekomunikasi Tunas Harapan
Get PDFDecision Support System for New Student Acceptance aims to simplify the Decision Maker who is the Committee of New Student Acceptance to select prospective new students based on eight criteria. That is registration number, the average value of National Examinations, medical tests, interview, their achievements, salary of parents per month, number of siblings who are still in school and administration department and give recommendations for the major of accepted students based on their interests and talents. There are four major in SMK Telekomunikasi Tunas Harapan, these are Rekayasa Perangkat Lunak (RPL), Teknik Komputer dan Jaringan (TKJ), Multimedia and Teknik Kendaraan Ringan (TKR). And the talents be measured by math test, electro test, daw test and physics test
IMPLEMENTASI KLASIFIKASI BAYESIAN UNTUK STRATEGI MENYERANG JARAK DEKAT PADA NPC (NON PLAYER CHARACTER)MENGGUNAKAN UNITY 3D
Get PDFAbstract €”Dalam sebuah game strategi penyerangan untuk melawan musuh harus diterapkan, sehingga lebih menarik pemain game untuk menyelesaikan permainan sampai dengan tujuan yang akan dicapai. Penelitian ini membahas tentang strategi menyerang jarak dekat untuk NPC (Non Player Character). Dalam sebuah game khususnya untuk game FPS (First Person Shooter), dibutuhkan suatu strategi NPC, dengan tujuan untuk membuat game menjadi lebih atraktif dan realistik. Strategi menyerang dalam penelitian ini adalah membagi beberapa perilaku penyerangan NPC ketika berada pada posisi paling dekat dengan musuh. Penelitian ini menerapkan algoritma bayesian untuk klasifikasi perilaku penyerangan NPC tersebut. Klasifikasi tersebut diharapkan dapat meningkatkan strategi menyerang melawan musuh. Klasifikasi penyerangan NPC dibiagi menjadi dua perilaku penyerangan yaitu perilaku memukul dan perilaku menggigit. Sedangkan untuk variabel yang digunakan dalam klasifikasi bayesian adalah health point, attack point player dan jarak yang diperoleh dari kondisi NPC. Dari hasil pengujian metode klasifikasi bayesian menggunakan pengujian confusion matrix, dengan percobaan permainan sebanyak 10 kali, telah menghasilkan presentasi tingkat akurasi pada confusion matrix mencapai nilai persentase sebesar 80 %. Hal ini membubktikan bahwa klasifikasi perilaku penyerangan jarak dekat dengan metode klasifikasi bayesian dapat diterapkan dengan hasil yang baik
K-MEANS ALGORITHM IMPLEMENTATION FOR CLUSTERING OF PATIENTS DISEASE IN KAJEN CLINIC OF PEKALONGAN
Get PDFIn determining the consistency of health data, can use data mining techniques that can dig the hidden information from multidimensional data sets that have been obtained. In addition, data wich connected with other data can also be done by these data mining techniques. One of the data mining techniques is quite well known namely clustering. The methods are quite popular in data mining techniques that called k-means method. It is used to facilitate medical recorder for analyzing the general health situation of population groups in archiving health care data. The results of this analysis, the clustering of the disease based on age, sex, duration of disease and disease diagnosis.This research used tool Rapid Miner 5.3.Based on the data from clinic centers Kajen Pekalongan, the result of clustering is 376 items of acute and 624 unacute diseases from 1000 total of data
ANALISA PENERIMAAN DOSEN BARU DENGAN MENGGUNAKAN SAW (SIMPLE ADDITIVE WEIGHTING)
Get PDFAcceptance of the new lecturer is one of the decision-making process based on selection test of competence through interviews aspect, microteaching and ability to speak English either active or passive in communication. Decisions are taken based on the highest value of the accumulated value calculation selection made in the institution of the Faculty of Information Technology and Communication. SAW (Simple Additive weighting) is a method of ranking the search for a weighted summation of the performance rating for each alternative on all attributes. The calculation of the value of selection acceptance of new lecturers with perangkingan method based on three aspects which have been set, getting the order rengking with the highest value is 32.5 in the applicant 1 (P1) as the first rank, and as a potential new lecturers will be accepted on Faculty of Information Technology and Communication