Article Per Year (5 Year)
p-Index From 2021 - 2026
6.082
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Pendidikan CommIT (Communication & Information Technology) Journal of Food and Life Sciences Journal of Innovation and Applied Technology Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer AGRIVITA, Journal of Agricultural Science Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JINOP (Jurnal Inovasi Pembelajaran) Premiere Educandum Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Education Technology Jurnal Ilmiah Sekolah Dasar Istawa: Jurnal Pendidikan Islam UPEJ Unnes Physics Education Journal AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Research and Educational Research Evaluation Pendagogia: Jurnal Pendidikan Dasar Journal of Community Health and Preventive Medicine (JOCHAPM) Cendikia Pendidikan Advances In Social Humanities Research JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Candra Dewi
Fakultas Ilmu Komputer, Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 135 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 135 Documents
Search

 1   2   3   4   5 
Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto menggunakan Algoritma Genetika untuk Diagnosis Autisme pada Anak Indra Eka Mandriana; Candra Dewi; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.843 KB)

Abstract

Autism is a developmental disorder that cause children to experience social disruption in certain areas, such as communications, social interaction, emotional and behavioral symptoms that is difficult to be identified. According to research in autism, the number of children who suffered from autism is estimated to grow every year around the world, including in Indonesia. This research implement Fuzzy Tsukamoto method to optimized genetic algorithm in order to diagnose autism in children, by optimizing the constraints on all fuzzy variables.Chromosome representation that is used in this research is real code genetic algorithm which every chromosome will initialize the limitations on all fuzzy variables. Method that is used to the process of crossover is extended intermediate crossover and random mutation for mutation process while selection method used elitism selection. Based on the results, the system obtained the most optimal parameters on a method of CARS in a population of 50, 200 generations, as well as the combination of Cr = 0.8 and Mr = 0.1 with the fitness of 1, while on the CHAT population method 10, 100 generations, as well as the combination of Cr = 0.9 and Mr = 0.1 with fitness by 1
Pengelompokan Lagu Berdasarkan Emosi Menggunakan Algoritma Fuzzy C-Means Muhja Mufidah Afaf Amirah; Agus Wahyu Widodo; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.463 KB)

Abstract

Digital music has grown dramatically in recent years. They offering musics in various type and emotion that are random. Therefore, there is a need to organize the songs, they need to somehow clusterize their files based on a specific characteristic. The purpose of such organization is to enable users to navigate to pieces of music they like, and also to give them advice and recommendation for people or music-related industries. This research proposed a clustering of songs based on their emotion using the Fuzzy c-means algorithm. Audio attributes of valence, energy, loudness, and tempo are used as features that represent the emotions of the song. The cluster of each data is determined based on their membership degree. Cluster validity index is used to evaluate the fitness of partitions produced by clustering algorithms. The algorithm is tested on different amount of data, which is 20%, 40%, 60%, 80%, and 100% data of total 150 songs. The testing result obtained a minimum error value of 0.00000001 (1x10-8). The results showed that the optimal number of clusters that are best to be used in this research is 5. While, the optimal fuzzifier value to be used in this research is 2 with the cluster validity value reaches 0.7 or 70%
Penerapan Algoritma Monte Carlo Tree Search Pada Permainan Komputer Maze Treasure Nazzun Hanif Ahsani; Eriq Muh. Adams Jonemaro; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.926 KB)

Abstract

In a previous study, the Monte Carlo Tree Search (MCTS) algorithm proved to have been successfullyapplied to turn-based GO games. In the application, MCTS has produced the highest score comparedwith previous scores. The application of MCTS is also performed on Ms. Pacman realtime games,where the resulting score is satisfactory compared to the previous highest score. Seeing the success ofthe application of MCTS, in this research applied MCTS to the enemy agent in the game MazeTreasure. Testing is done to find out how to validate the behavior and performance of agents in thegame. For behavior validation is done by looking at the level of completeness. The completeness levelis tested by comparing the scores obtained by the agent and the scores available. The result of thebehavior validation test shows that the completeness level of 25 simulation maps is 100%, where thecompleteness value of each map is true. For performance testing is done by comparing the frames persecond (FPS) in each simulation map. The results show that the best average performance is on the16x12 grid with value 261.78 FPS. An increament in the size of the labyrinth will cause a decrease inperformance. The use of MCTS on the size of the above 52x39 grid map will cause the game not wellto be played, which is the minimum FPS for games that are worth for playing is 30 FPS.
Optimasi Kebutuhan Gizi untuk Balita Menggunakan Hybrid Algoritma Genetika dan Simulated Annealing Fitri Anggarsari; Wayan Firdaus Mahmudy; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (768.359 KB)

Abstract

The nutritional state of a person is basically influenced by dietary behavior so that the quantity and quality of the food and beverages consumed has an impact on a person health. Balanced nutrition plays an important role in the growth, physical development, and intelligence of all people, including toddlers, children, and adults. Nutrition in toddlers should be considered because at that time they growth and develope so rapid and prone to occur bad things such as infections that can cause chronic illness, obesity and even death. In this research, we implement hybrid genetic algorithm and simulated annealing to know optimize nutrition requirement on food composition for toddlers. There are two segments of the chromosomal representation that is used in this research, the first segment uses the integer number and the second segment uses the real code number. We use extended intermediate crossover method and random mutation method for the reproduction process. The test resulted in the highest average fitness value of 0.10106 with the best parameters are population = 100, generations = 50, combination between Cr and Mr = 0.8 and 0.3, value of alpha = 0.8, value of T0 = 2 and value of Tn = 0.2. The results of this study is recommendations of foodstuffs according to the nutritional needs that approached the actual needs of the toddlers by considering the weight of food and the minimum price in one day.
Optimasi Fungsi Keanggotaan Fuzzy Dua Tahap menggunakan Algoritme Genetika untuk Penentuan Bakat dan Tingkat Persentase Kecerdasan Anak Khairiyyah Nur Aisyah; Imam Cholissodin; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1285.921 KB)

Abstract

Every child has unequal talents and abilities. But not all parents can recognize about the talent that is actually owned by their child. Many parents are misjudge about the potential related to their child. As a result, many children do a subject which not appropriate with the passion they had and can not develop in their profession because of the minimum passion to it. With a system that can determine the talent and intelligence, it is expected that there is a good synergy between teachers and parents to provide an appropriate guidance accordance to the ability owned by them. The processes did on this research consists of 2-stages fuzzy.. The first stage is the determination of talent with Fuzzy Logic and the second stage is determining the percentage of child's intelligence level with Fuzzy Inference System Tsukamoto. The membership function of both will be optimized using Genetic Algorithm to get more optimal result. The accuracy obtained after the optimization with Genetic Algorithm is 87.91%, 27.08% better than without using optimization with an accuracy of 60.83%. The best fitness value was variation of chromosome with 7 genes, population size 100, number of generation is 70, and combination cr=0,8 and mr=0,2.
Deteksi Dini Penyakit Gagal Ginjal menggunakan Gabungan Genetic Algorithm dan Fuzzy K-Nearest Neighbor (GAFKNN) Muhyidin Ubaiddillah; Dian Eka Ratnawati; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1039.517 KB)

Abstract

Chronic kidney disease is one type of non-infectious but deadly disease. According to Basic Health Research (2013), this disease in Indonesia has a value of prevention value of approximately 0.2 percent. But some people are still not aware that they have experienced this disease, and their kidney failure disease has been at the stage of chronic renal failure so that one of the treatment is to do dialysis. Whereas if the person is still in early or stage 2 kidney failure, can still do therapy without dialysis. In addition, some people are still lazy to consult, so it takes a program so that people can know their condition and motivated to do a checkup to the doctor. From these problems requires an early detection that can be done by classification. One method that can classify is Fuzzy KNN, but Fuzzy KNN has a weakness that is determining the value of k and m that yield optimal value. So do the merger with GAs. From the results of the merger the program can produce a fairly optimal accuracy of 98%, with parameters on the GAs of population 40, generation 15, CR 0.5 and MR 0.8.
Implementasi Genetic Algorithm Dan Artificial Neural Network Untuk Deteksi Dini Jenis Attention Deficit Hyperactivity Disorder Brillian Aristyo Rahadian; Candra Dewi; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1060.948 KB)

Abstract

ADHD (Attention Deficit Hyperactivity Disorder) is a psychomotor disorder that the patient is difficult to concentrate and do something excessively. Types of ADHD detection can be done by experts such as doctors, nurses and psychologists who has mastered and give solutions for therapy who affected by ADHD. However due to the limited expertise it's quite difficult to consultancy with an experts. Therefore can be made a system for early detection of ADHD. In this research, the implementation of GA-LVQ2 methods for early detection of ADHD types. Stages of implementation are population initialization, crossover, mutation, evaluation, elitism selection, and LVQ2 training. Using real coded genetic algorithm as the representation of solution. Chromosome length in this study was 45, which is a symptom of ADHD. The result of the testing has been done is the highest accuracy reached 95% in the test with 20 data testing with the parameter value of population size 10, crossover rate 0.9, mutation rate 0.1, generations 40, learning rate 0.1, the learning rate reducer 0.1, the constant value ε 0.35. System output is the best LVQ weights that have been tested and have high accuracy.
Prediksi Tingkat Keuntungan Usaha Peternakan Itik Alabio Petelur menggunakan Jaringan Syaraf Tiruan Backpropagation (Kasus di Kabupaten Hulu Sungai Utara Kalimantan Selatan) Muhammad Ihsan Diputra; Candra Dewi; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1224.387 KB)

Abstract

Predicting profits in ducks farming business is very hard to do. That's because in alabio duck agribusiness system have subsystems that can effect other subsystems. If the subsystems don't have optimal value it can make a bad impact for profits in business. To overcome this problem, this study using backpropagation artificial neural network to predict profit in alabio duck eggs business. This study using backpropagation algorithm because this algorithm often used for forecasting. The subsystems or input features used in this study are number of adult ducks, shrinkage of duck seed price, total food price, shrinkage of cages price, labor costs, and the cost of vaccines and medicine. The system in this study use net profits of duck eggs business as output. In this study, testing used to get the optimal value for each parameter. The values of each parameters are learning rate 0.8, 17 hidden neuron, MAPE learn threshold 10%, and 90% total data training. The best MAPE for forecasting result is 25,7852%.
Implementasi Algoritme Genetika Dalam Optimasi Knapsack Problem Penentuan Objek Wisata Wilayah Malang Raya Abdul Fatih; Budi Darma Setiawan; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1739.484 KB)

Abstract

Tourism has become commodity that can't be separated from human's life. There are some areas in Indonesia make tourism into the specific characteristics of their region which one is Malang Raya. The form of attention in the tourism sector is activated the building of new tourism objects. There was more tourism object than before will be more coddling for the tourists and also give a new problem. The tourist have knapsack problem which the tourist must decided all of tourism objects list that visited with the limited time. The optimization of knapsack problem can be resolved by using genetic algorithm. The genetic algorithm will make a formation of chromosome as representation of solution. The structures of genetic algorithm consist of initialization, reproduction, evaluation, and selection. The process of genetic algorithm did in the 50 generations with 100 populations whereas the pc value is 0, 7 and the value of pm is 0, 8. Result of processing genetic algorithm towards case study that has been tested gave the solution resemble to nearby tourism areas list and grouping in the certain areas.
Implementasi Metode Gabungan Multi-Factors High Order Fuzzy Time Series dan Fuzzy C-Means Untuk Peramalan Kebutuhan Energi Listrik di Indonesia Sigit Pangestu; Dian Eka Ratnawati; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.651 KB)

Abstract

Indonesia is one of the countries consuming electricity which always experience the increasing need of electric energy every year. Electricity needs in the household sector from 2003 to 2013 in Indonesia increased by an average of 8% per year. While in the commercial sector the average increase of 10.1%. Growing demand for electrical energy should be properly handled in order to avoid the lack of electricity supply that can lead to inhibition of economic activity in Indonesia. Therefore it is needed a program that can help the supplier of electrical energy in Indonesia (PLN) to determine the amount of electrical energy that must be prepared. The Combined method Multi-Factors High Order Fuzzy Time Series and Fuzzy C-Means (FCM) can be used to forecast electrical energy requirements. Fuzzy C-Means replaces one of the processes in the Multi-Factors High Order Fuzzy Time Series method when creating subintervals. The path of the method is the determination of the Universe of Discourse, the determination of the number of clusters, the formation of subintervals with Fuzzy C-Means, the formation of fuzzy sets, the fuzzification process, the formation of Fuzzy Logic Relationship (FLR), and the defuzzification process. From the test results obtained the smallest MAPE (Mean Absolute Percentage Error) value of 1.7857%. MAPE results obtained that less than 10% indicate that Combined Methods Multi-Factors High Order Fuzzy Time Series and Fuzzy C-Means (FCM) is very good used to forecast electricity demand in Indonesia.
Co-Authors Abdul Fatih Achmad Yusuf Adam Sulthoni Akbar Adinugroho, Sigit Aditya Chandra Nurhakim Aditya Septadaya Adiyasa, Bhisma Afrialdy, Firman Aghata Agung Dwi Kusuma Wibowo Agi Putra Kharisma Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmada Bastomi Wijaya Akmal Subakti Wicaksana Alan Primandana Almasyhur, Muhammad Bin Djafar Amalia Luhung Amita Tri Prasasti, Pinkan Anang Tri Wiratno Andhika Satria Pria Anugerah Anggita Mahardika Ani Budi Astuti Ani Rusilowati Anim Rofi'ah Annisa Puspitawuri Annisa Salamah Rahmadhani Aprianto, Anda Bagas Arbawa, Yoke Kusuma Aria Bayu Elfajar Arief Andy Soebroto Arjunani, Rusmalistia Intan Ayuri Alfarianti Azhari, Muhammad Rizqi Azizul Hanifah Hadi Barik Kresna Amijaya Bayu Rahayudi Brillian Aristyo Rahadian Budi Astuti Budi Darma Setiawan Chelsa Farah Virkhansa Daneswara Jauhari Daneswara Jauhari, Daneswara Dany Primanita Kartikasari Dennes Nur Dwi Iriantoro Deo Hernando Desy Wulandari Dewanti, Amalya Trisuci Diajeng Tania Ananda Paramitha Dian Eka Ratnawati Dloifur Rohman Alghifari Dwi Fitriani Dwi Novi Setiawan Dwi, Endah Dyang Falila Pramesti Edo Ergi Prayogo Edy Santoso Edy Santoso Erik Aditia Ismaya Eriq Muh. Adams Jonemaro Falih Gozi Febrinanto Faris Febrianto Febri Ramadhani Fenori, Muhammad Dajuma Feri Angga Saputra Fianti Fianti, Fianti Fitri Anggarsari Fitriana, Rosita Nur Fitriani , Dwi Fitriani, Delvi Guntur Syafiqi Adidarmawan Hartami, Edina Himawan, Alfian Iftinan, Salsa Nabila Ikhwanul Kiram, Muh Zaqi Ilham Harazki Imam Cholisoddin Imam Cholissodin Imam Cholissodin Indah Lestari, Indah Indah Wahyuning Ati Indah, Yuliana Indra Eka Mandriana Indriati Indriati Indriati Indriati Indriati, Indriati - Iqbal Santoso Putra Iskarimah Hidayatin JANAH, NURUL Jumadi Jumadi Khairiyyah Nur Aisyah Kharisma, Agi Krisyanto, Edy Kurnianingtyas, Diva Kurniawan, I Gede Jayadi Kusumawardani, Septyana Dwi Lailil Muflikah Lailil Muflikhah Maharani Tri Hastuti Mardji Mardji Marinda Ika Dewi Sakariana Marinda, Vira Marwa Mudrikatussalamah Maulan, Erika Maulana Putra Pambudi Maulida, Farida Merlya, Merlya Mochammad Tanzil Furqon Mohammad Nuh Mohammad Setya Adi Fauzi Muh Arif Rahman Muhammad Ihsan Diputra Muhammad Misbachul Asrori Muhammad Noor Taufiq Muhammad Prabu Sutomo Muhammad Riduan Indra Hariwijaya Muhammad Tanzil Furqon Muhja Mufidah Afaf Amirah Muhyidin Ubaiddillah Mukh. Mart Hans Luber Nabila Arief Nadia Artha Dewi Naily Zakiyatil Ilahiyah Naniek Kusumawati Nazzun Hanif Ahsani Nirzha Maulidya Ashar Nooriza Fariha Rumagutawan Noval Dini Maulana Novanto Yudistira Nur Hidayat Nur Sa'diyah Nurhidayati Desiani Nurul Faridah, Nurul Nurul Hidayat Nuryatman, Pamelia Nuzula, Nila Firdauzi Pande Made Rai Raditya Phutpitasari, Rosa Devi Pupung Adi Prasetyo Putra Pandu Adikara Putri Aprilia Putu Gede Pakusadewa Rachmalia Dewi Rahma Juwita Sany Randy Cahya Wihandika Rasya, Muhammad Ratih Kartika Dewi Rayhan Tsani Putra Reiza Adi Cahya Reza Wahyu Wardani Rifan, Mohamad Rina Christanti, Rina Rizal Setya Perdana Rizal, Moch. Khabibur Robih Dini Rohmah, Yushinta Lailatul Rohmanurmeta, Fauzatul Ma’rufah Rokky Septian Suhartanto Romlah Tantiati Rosyita, Elyana Santoso, Allegra Santoso, Andri Saputra, Rendi Ramadani Saputro, Rinaldi Eko Saputro Sekar Dwi Ardianti Selle, Nurfatima Selvi Marcellia Setya Perdana, Rizal Sigit Pangestu Siti Nurjanah Siti Nurlaela Sundari, Suci Sunyoto Eko Nugroho, Sunyoto Eko Susenohaji, Susenohaji Sutrisno . Syarif, Adnan Tirana Noor Fatyanosa, Tirana Noor Ulfah Mutmainnah Veni, Silvia Wahyu, Dwi Wayan Firdaus Mahmudy Werdha Wilubertha Himawati, Werdha Wilubertha Wiandono Saputro Wilis Biro Syamhuri Wiratama Paramasatya Yasin, Patbessani Septani Firman Yessica Inggir Febiola Yosua Christopher Sitanggang Yudha Eka Permana Yudistira, Indrajati Yuita Arum Sari Yulia Trianandi Yulian Ekananta Yusi Tyroni Mursityo Zulhan, Galang