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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Knowledge Engineering and Data Science
Agus Wahyu Widodo
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Prediksi Jumlah Permintaan Koran Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Nabilla Putri Sakinah; Imam Cholissodin; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the era of globalization, community needs for information is increasing by years. This can be seen from the behavior of the community in responding to everything, both global and national. The quantity of media provided convenience for the community to get information actually. Print media is one of media which has actuality and accuracy which can be trusted. One example of media is print media or newspaper. Newspaper is information tool and educational tool which until nowstill useful for every community. There are many forecasting methodthat have been used to predict which is proven in some forecasting and providing the good result, for example forecasting of water consumption, rainfall consumption, the exchange rate of dollar and forecasting electrical load. In accordance with the tests conducted using the data sales of Radar Madura in 2015, resulted the best iterations is 200, and the value of learning rate is 0.6, and the test of training data and test data yields the best value of training data is 100 and test data 10. With error rate 0.0162.
Prediksi Penjualan Mi Menggunakan Metode Extreme Learning Machine (ELM) di Kober Mie Setan Cabang Soekarno Hatta Ayustina Giusti; Agus Wahyu Widodo; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kober Mie Satan Soekarno Hatta branch is a company engaged in the field of food. The number of consumer demand of restaurant Kober Mie Setan Soekarno Hatta branch that is erratic every time affect the remaining raw materials. Raw materials that are stored for too long are not good for consumption. When demand is low and the raw materials provided are high, then the rest of the raw materials from the day's sales will be discarded. In order for raw materials are not wasted, then the sales prediction required by Kober Mie Setan Sukarno Hatta branch. With these sales predictions the restaurant can prioritize the expenditure of certain menu ingredients that have a high interest so that the remaining raw materials can be reduced. This research applies method of artificial neural network (JST) that is Extreme Learning Machine (ELM) to predict the sales of noodles in Kober Mie Setan restaurant of Soekarno Hatta branch. The prediction process of noodles sales in Kober Mie Setan is normalization of data, training process, testing process, data denormalization, and error value calculation using Mean Square Error (MSE). ELM method has advantages in learning speed and small error rate. Based on the tests conducted to determine the differences in the use of data features in this study resulted in the smallest error rate of 0.0171 using the features of historical data and features of residual sales data.
Sistem Pendukung Keputusan (SPK) Pemilihan Tanaman Pangan Berdasarkan Kondisi Tanah Menggunakan Metode ELECTRE dan TOPSIS Ningsih Puji Rahayu; Rekyan Regasari Mardi Putri; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is a country with a very strategic geographical location, it is very beneficial for citizens because almost all plants can be planted in Indonesia. Especially the food crop. Food crops are plants that are very important for the role of living creatures, especially humans. Among the food crops are rice, corn, peanuts, soybeans, these four plants have a very important role for national food security. In every region in Indonesia have different types of soil and certainly the fit for different crops as well. From four food crops namely rice, corn, peanuts and soybeans. (Cm), peat thickness (cm), ph h2o, salinity (dS / m), alkalinity% of the soil,, Depth of sulfidation (cm), slope (%). Of the 12 criteria that will be matched with existing soil conditions klaten. By matching the suitability of the land based on these criteria it will be easier for farmers in determining what food crops are suitable for the area so then the agricultural output will be increased. ELECTRE and TOPSIS method is a multicriteria decision-making analysis method, ELECTRE is based on the concept of outrangking by using pairwise comparison of alternatives based on each appropriate criteria. In this study why use the ELECTRE method because the electre method is very suitable for use in cases that have many criteria and alternatives. The accuracy is 85.714% using 28 data.
Prediksi Jumlah Kendaraan Bermotor Di Indonesia Menggunakan Metode Average-Based Fuzzy Time Series Models Fajar Pangestu; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Motor vehicles in Indonesia are growing in number each year. The high number of motor vehicles will affect various sectors. Impacts such as traffic congestion, pollution, accidents, and traffic violations. By predicting the number of motor vehicles, predicted data can be used by the government or related parties to create a program to reduce the impact of high number of motor vehicles. Fuzzy time series is one method for prediction. One type of fuzzy time series method is the average-based fuzzy time series. This method is an average-based fuzzy time series method that is able to determine the effective interval length, so as to provide predictive results with a good degree of accuracy. The data used in the study amounted to 45 data. The result of this research test, the average value of error calculated using Mean Absolute Percentage Error (MAPE) method is 12.67% error value indicating that this research is included in good category used in motor vehicle prediction in Indonesia because it has accuracy value below 20 %.
Penerapan Algoritme Jaringan Syaraf Tiruan Backpropagation pada Pengklasifikasian Status Gizi Balita Maria Sartika Tambun; Muhammad Tanzil Furqon; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Growth and development of children is an important thing that can be known by the assessment of nutritional status. A benchmark of a fulfilled accomplishment of nutrients in children who can be classified with severe obesity. Assessment of the nutritional status of toddlers can be determined by measuring the body known as "Anthropometry". In classifying the nutritional status of toddlers there is a concern that is on the community about the nutritional problems are good to know from many toddlers who are good nutrition, and also want to know which one is really the ideal nutrition. Because in the assessment of nutritional status of toddlers through good nutrition Antroprometry there is a large range. In the testing process using backpropagation method begins with the number of iterations, the value on the learning rate, the error limit and the amount of training and test data. In the study there are 3 input layer neurons, 3 hidden layer neurons and 1 output layer. The results of the test phase is obtained from the highest accuracy of 54.0% for the value of learning rate 0.1, the error limit of 0.001 and 0.005. The amount of train data and test data used is 80:10, with 10000 iteration. The lowest accuracy obtained is 43.0% ie on the results of the training data and test data is 70:50, and the learning rate of 0.3 and 1000 maximum iteration.
Analisis Sentimen Pada Ulasan "Lazada" Berbahasa Indonesia Menggunakan K-Nearest Neighbor (K-NN) Dengan Perbaikan Kata Menggunakan Jaro Winkler Distance Yane Marita Febrianti; Indriati Indriati; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of an information technology currently carries a considerable impact against the pattern of life one on purchasing power. The current purchasing power are more likely to shop online because it's considered easier. But, how does a consumer know if the items to be purchased good or otherwise. Therefore it appears there is a review or comment on any goods sold. Review on items bring considerable influence against the purchasing power of consumers to know the quality of the goods, does not be surprised if a review into one of the main goals being viewed by consumers after the price. However, not all reviews provided the consumers can be understood by other consumers due to use the word is abbreviated, it use modern languages, in typing letters, the researcher proposes the creation of a system Analysis of Sentiment on the Reviews “Lazada” Berbahasa Indonesia Using the K-Nearest Neighbor (K-NN) and Repair Word Using Jaro Winkler Distance. Testing based on the value of precission, recall, and accuracy at each analysis sentiment without repair word, or with repair word. The test result with good accuracy value is present on the analysis sentiment with repair word is 76 %, with value of precission 0,76, and recall 1.
Analisis Optimasi Multiple Travelling Salesman Problem Time Window Pada Algoritme Genetika Terhadap Pemilihan Rute Pengiriman Barang J&T Express Surabaya Eko Wahyu Hidayat; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

J&T Express is a company engaged in the service of shipping the goods. The process of delivery of the goods on the J&T Express speed levels very seriously, because it has to be timely in serving all the customers with the maximum time duration of 1x24 hours to 2x24 hours. Delivery of the goods on the field do not always meet the target because some non technical issues. One of the reasons is the level of congestion in some cities that make the delivery of goods is hampered. This research has the objective to create a system that is able to find a line with a low level of congestion and are able to find routes with the fastest travel time that you visit our sales more than one, that problem is called with Multiple Travelling Salesman Problem Time Window (MTSP-TW). Genetic algorithms is one method that can be used to solve the problem of MTSP-TW, so it can search through the route with a fastest journey time. The test results on the analysis of the selection of shipping routes shows that the crossover one cut point with mutation insertion produces a fitness better combination than other reproduction, and the results of the selection of the route of the system generates a time faster than the route choice company.
Diagnosis Penyakit THT Menggunakan Metode Fuzzy K-NN Afrida Djulya Ika Pratiwi; Dian Eka Ratnawati; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Humans are one of the living beings that exist in the world. One of the important organs that exist in humans are the ears, nose, and throat. This causes the organs to be connected to each other and can cause the spread of infection if one of the three organs are infected. Diseases that attack ENT is still considered trivial by the community, so the public awareness to check to the doctor is still low. Therefore, to facilitate the community to making their own diagnosis of ENT disease, then made a diagnosis system ENT disease. This diagnostic system uses Fuzzy-K nearest neighbor method. The used of the Fuzzy-K nearest neighbor method occurs in some studies that using this method can get high scores. In this study using four pieces of testing, namely testing of variations in the amount of training data, testing of variations in the number of values ​​k., testing of comparison between the number data training and data testing, and cross validation testing. Based on four types of test scenarios performed using 122 data related to ENT disease, obtained results with an average rate of 99,2%.
Optimasi Menu Makanan Atlet Berdasarkan Jadwal Latihan Menggunakan Algoritme Genetika Muhammad Dimas Setiawan Sanapiah; Budi Darma Setiawan; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

This research aims to solve the problem in doing food menu optimization in athletes. Where this is based on the statement of Ministry of Health that to improve the performance of Indonesian athletes in the future, it is necessary to improve and perfect the system of training and development of sports, especially in approaching and applying Science and Technology including the fulfillment of nutrition athletes. One form of development of science and technology is the genetic algorithm, where this algorithm can solve a problem related to optimization with a large search space. In the preparation of chromosomes to be used genetic algorithm using the representation of integer numbers, with crossover method used is one cut point crossover, and mutation method used is random mutation and selection process used elitism selection process. The recommendation results is the food menu for athletes for five days. While the genetic algorithm parameters in this research obtained optimal generation size of 450, the optimal population size of 70, and the combination of cr and mr optimal value is 0,5 and 0,5.
Penentuan Portofolio Saham Optimal Menggunakan Algoritme Genetika Terdistribusi Talitha Raissa; Agus Wahyu Widodo; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In conducting stock investment, it is necessary to verify or spread the investment in order to form a stock portfolio with the proportion or optimal weight of every stock, good profit, and risk that can be borne by investors. Therefore, a system that can determine the optimal stock portfolio must be made by implementing distributed genetic algorithm. Distributed genetic algorithm generate chromosomes randomly at the certain interval as the representation of the stocks proportion. Then reproduction, evaluation and selection can be done based on the largest fitness derived from the calculation with single index model to find the return and risk. Distributed genetic algorithm has migration mechanism that able to maintain a diversity of individual variation. It is necessary to find out a broader solution which can produce a diverse and optimal stock portfolio. From the test result, distributed genetic algorithms can be applied properly and produce an optimal stock portfolio. The best parameter of the popsize test result is 80, the number of generations 150, 0.8 crossover rate (cr), and 0.2 mutation rate (mr) and the number of sub-optimal population of 10 to produce an optimal stock portfolio.
Co-Authors Achmad Arwan Achmad Dewanto Aji Wibisono Adam Hendra Brata Adinugroho, Sigit Afrida Djulya Ika Pratiwi Aida Fitri Nur Amrina Ainun Najib Eka Christianto Aisha Laras Akmilatul Maghfiroh Al-Mar'atush Shoolihah Allifira Andara Hasna Ana Mariyam Puspitasari Andika Indra Kusuma Andreas Pardede Angelika Trivena Lodong Anggita Nurfadilla Mahardika Annisa Amalia Nur'aini Anto Satriyo Nugroho Ardiansyah Setiajati Arry Supriyanto Arya Agung Andika Aryu Hanifah Aji Asfie Nurjanah Ayu Anggrestianingsih Ayudiya Pramisti Regitha Ayustina Giusti Azizah Nurul Asri Bagas Laksono Bayu Rahayudi Beryl Labique Ahmadie Budi Darma Setiawan Budi Kurniawan Cahya Chaqiqi Candra Dewi Dani Devito Delischa Novia Sabilla Deo Hernando Dian Eka Ratnawati Diantarakita Diantarakita Dwi Retnoningrum Dyan Putri Mahardika Eko Wahyu Hidayat Erlyan Eka Pratiwi Faizatul Amalia Fajar Pangestu Fajar Pradana Fajri Eka Saputra Farizky Novanda Pramuditya Femilia Nopianti Feris Adi Kurnia Sadiva Fitri Dwi Astuti Fransiskus Cahyadi Putra Pranoto Grace Theresia Situmorang Gusti Ngurah Wisnu Paramartha Hafid Satrio Priambodo Hardyan Zalfi Haris Bahtiar Asidik Harits Abdurrohman Herman Tolle Imam Cholissodin Indriati Indriati Irwan Shofwan Javier Ardra Figo Jefri Hendra Prasetyo Kholifa'ul Khoirin Lailil Muflikhah Latifa Nabila Harfiya Laviana Agata M. Ali Fauzi Maharani Tri Hastuti Maria Sartika Tambun Miftahul Arifin Muh Arif Rahman Muh. Arif Rahman Muh. Arif Rahman Muh. Ihsan As Sauri Muhamad Rendra Husein Roisdiansyah Muhammad Dimas Setiawan Sanapiah Muhammad Fahmi Hidayatullah Muhammad Fahmi Wibawa Muhammad Faiz Abdul Hamif Muhammad Fajriansyah Muhammad Heryan Chaniago Muhammad Ikhsan Nur Muhammad Rafi Farhan Muhammad Tanzil Furqon Muhja Mufidah Afaf Amirah Nabilla Putri Sakinah Nanda Dwi Putra Miskarana Ade Natassa Anastasya Naufal Sakagraha Kuspinta Nelli Nur Rahma Ni'mah Firsta Cahya Susilo Ningsih Puji Rahayu Nizar Riftadhi Prabandaru Novanto Yudistira Nur Afifah Sugianto Nur Faiqoh Laely Ambarwati Nur Firra Hasjidla Nur Kholida Afkarina Nurudin Santoso Nurul Hidayat oktiyas muzaky Luthfi, oktiyas muzaky Olive Khoirul L.M.A. Puteri Aulia Indrasti Putra Pandu Adikara Putri Bunga Rahmalita Putu Satya Cahyani Rahma Juwita Sany Randy Cahya Wihandika Rekyan Regasari Mardhi Putri Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Restu Widodo Resya Futri Hadi Febryana Retno Dewi Anissa Revan Yosua Cornelius Sianturi Ridho Saputra Rinindya Nurtiara Puteri Rizka Husnun Zakiyyah Rizki Aziz Amanullah Rosi Afiqo Rr Dea Annisayanti Putri Ryan Iriany Satria Habiburrahman Fathul Hakim Sayyidah Karimah Sindy Erika Br Ginting Sri Rahadian Ramadhan Sakti Susiawan Hastomo Ajie Talitha Raissa Tusiarti Handayani Tusty Nadia Maghfira Umar Zaki Izzuddin Utaminingrum, Fitri Vriza Wahyu Saputra Wayan Firdaus Mahmudy Wayan Firdaus Mahmudy Wenny Ramadha Putri Willy Karunia Sandy Winda Cahyaningrum Winda Ika Praseptiyana Witriana Sumarni Yane Marita Febrianti Yosafat Vincent Saragih Yuita Arum Sari Yunita Kristanti Emilia