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All Journal Faktor Exacta Jurnal ULTIMA InfoSys Jurnal ULTIMATICS

Adhi Kusnadi

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Author-ID : 3791982

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Perancangan Aplikasi Sistem Pakar untuk Mendiagnosa Penyakit pada Manusia Adhi Kusnadi
Ultimatics : Jurnal Teknik Informatika Vol 5 No 1 (2013): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Pertambahan jumlah penduduk yang relatif cukup cepat, diiringi pertambahan usia harapan hidup manusia, menambah jumlah penduduk di dunia, sehingga bertambah komplek pula permasalahan yang ditimbulkan, seperti sandang, pangan, papan, kesehatan dan lain sebagainya. Dalam masalah kesehatan semakin banyak jumlah penderita suatu penyakit dan bertambah pula jenis penyakit. Sedangkan jumlah ahli kesehatan seperti dokter terbatas jumlahnya. Oleh karena itu perlu dibangun suatu sistem yang dapat membantu ahli kesehatan, penderita atau siapapun yang bergerak dibidang kesehatan untuk meringankan pekerjaannya. Sistem ini merupakan prototipe dan dibuat sesederhana mungkin, sehingga para pemakai dapat dengan mudah menggunakannya dan merancang ulang sistem pakar ini untuk jenis penyakit lainnya. Sistem dibuat terbatas pada diagnosa suatu penyakit berdasarkan ciri-ciri penyakit. Karena masih banyak orang yang tidak mengetahui gejala–gejala suatu penyakit. Dengan menggunakan sistem pakar ini, penyakit dapat dikenali dengan melihat gejala-gejala yang dapat menjelaskan dan menggambarkan apakah seseorang diduga terkena suatu penyakit atau tidak. Dengan adanya sistem pakar ini, orang awam mampu mendeteksi adanya penyakit pada dirinya atau orang lain berdasarkan gejala-gejala yang dirasakan dengan menjawab pertanyaan seperti halnya berkonsultasi ke dokter. Dengan demikian, orang awam dapat mendeteksi penyakit beserta solusi pengobatannya sejak dini sehingga bisa dilakukan penanganan segera, bahkan dapat dilakukan upaya pencegahan terhadap penyakit tertentu. Untuk mempermudah perancangan sistem pakar ini, diambil kasus untuk perancangan sistem pakar untuk Penyakit TBC. Sistem masih terbatas pada diagnosa penyakit, apakah seseorang diduga terkena penyakit TBC atau tidak, cara pencegahan dan pengobatannya. Kata kunci - gejala penyakit, pakar, TBC

Developing Review Websites Using Feature Driven Development (FDD) Marchelin Fau Hariono; Albert Albert; Arvin Vinsensius; Adhi Kusnadi
Ultimatics : Jurnal Teknik Informatika Vol 6 No 2 (2014): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

In this paper discussed a case study of the development of a website review . The discussion of this case study is limited to the implementation and use of the five steps in the development FDD review website . Moreover it is not a discussion of such budget , personal develomnent , the success rate of software , and others . That reviews are steps in the development of the system , ie develop an overall model of phase , build a feature list , plan by features , design by features , build by feature . Conclusions that can be drawn from this discussion is the Feature Driven Development successfully used for software development carried out by the team , which will produce a good system . FDD will also make the user comfortable , where there is an attractive feature to assist companies in doing business . FDD does not focus on how to design a system that is considered costly and time. However , FDD prioritize how to execute a project with a faster and more efficient despite the implementation of the use of this method requires a lot of qualified human resources. Index Terms - website review, feature driven development, FDD

Implementasi Algoritma Genetika Pada Penempatan Tugas Asisten Laboratorium Berbasis Web Adhi Kusnadi; David Setyadi Santoso
Ultimatics : Jurnal Teknik Informatika Vol 7 No 2 (2015): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

On education system in University, the given subject is not only theoretics subject, but practicum also. In teaching practical subjects, the lecturer often experiences a difficulty to answer and handle every question that the students have in laboratory. Therefore, the assistant laboratory is needed here. One of the division in Universitas Multimedia Nusantara, ICT LAB still arranges the assignment of the assistant laboratory manually. It is difficult and takes some times. This thing becomes the reason for the development of an application ICT LAB that can do the assignment process automatically. This research is using Genetic algorithm that can calculate fitness value which show the matching level of the assignment that has been created. Based on the testing, using one point crossover, mutation on bit level, and rank selection, the average fitness value is 68.571% from all of the laboratory assistant vacancy. Based on the data used, there are 22 assignment slots on certain subjects that don’t have any applicant. So if that 22 slots are not used in the fitness calculation, there are only 118 assignment slot and the fitness value becomes 80,5%. This fitness value has problem with the quantity of student that didn’t fit to all of the assignment slot. Index Terms - Genetic Algorithm, rank selection, one point crossover, assignment, laboratory assistant.

Rancang Bangun Sistem Pakar Prediksi Stres Belajar Dengan Neural Network Algoritma Backpropagation Adhi Kusnadi; Idul Putra
Ultimatics : Jurnal Teknik Informatika Vol 7 No 2 (2015): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Stress will definitely be experienced by every human being and the level of stress experienced by each individual is different. Stress experienced by students certainly will disturb their study if it is not handled quickly and appropriately. Therefore we have created an expert system using a neural network backpropagation algorithm to help counselors to predict the stress level of students. The network structure of the experiment consists of 26 input nodes, 5 hidden nodes, and 2 the output nodes, learning rate of 0.1, momentum of 0.1, and epoch of 5000, with a 100% accuracy rate. Index Terms - Stress on study, expert system, neural network, Stress Prediction

Identifikasi Dini Kerusakan Jalan Flexible Pavement Dengan Menggunakan Algoritma PCA Adhi Kusnadi; Ranny Ranny
Ultimatics : Jurnal Teknik Informatika Vol 8 No 2 (2016): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Identifikasi of road damage and how to handle early is important so that the use of the road remains optimally. The delay in the repair process will exacerbate the damage to the road itself, and will certainly increase the cost of repairs. PCA algorithm was chosen because it is a technique that is commonly used to draw the features of the data on a high-dimensional scale. While the input of the system that is built in the form of a digital image of the damaged roads, has a relatively large dimensions to be used directly by the algorithm of pattern recognition, such as neural networks. Research results obtained this type of cracking cracked 67% and cracking the other 33%. This can be caused by a few things, namely the shooting process is not perfect, as the distance is too far, the less light, the edge detection process less well due to the method used is not appropriate. Index Terms—road damage, PCA, cracking, image, egde detection

Co-Authors Albert Albert Arvin Vinsensius Christophorus Kris Widiarso David Setyadi Santoso Hugeng Hugeng Idul Putra Marchelin Fau Hariono Ranny Ranny

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