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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Ilmiah Kursor Journal of Innovation and Applied Technology International Journal of Local Economic Governance Journal of Environmental Engineering and Sustainable Technology Jurnal Pembangunan dan Alam Lestari Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Knowledge Engineering and Data Science Jambura Law Review Indonesian Journal of Electrical Engineering and Computer Science International Journal of Engineering, Science and Information Technology Indexia Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Bulletin of Culinary Art and Hospitality Bulletin of Social Informatics Theory and Application Jurnal ilmiah teknologi informasi Asia Signal and Image Processing Letters
Wayan Firdaus Mahmudy
Brawijaya University
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Penerapan Algoritma Genetika untuk Optimasi Vehicle Routing Problem with Time Window (VRPTW) Studi Kasus Air Minum Kemasan Dita Sundarningsih; Wayan Firdaus Mahmudy; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 2 (2017): Februari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Salah satu permasalahannya dalam bidang optimasi yaitu penentuan rute distribusi air minum kemasan. Air merupakan salah satu kebutuhan pokok bagi manuasia, sehingga banyak sekali permintaan untuk pemasokan air minum kemasan . Penentuan rute terpendek sangat penting karena pengiriman barang harus dilakukan dengan singkat dan tepat waktu dengan memaksimalkan penggunaan alat transportasi untuk mengurangi biaya transportasi. Vehicle Routing Problem (VRP) cenderung menyelsaikan permasalahan dengan meminimalkan biaya yang direpresentasikan oleh total jarak tempuh dan jumlah kendaraan yang digunakan. Oleh karena itu untuk menyelsaikan masalah lebih tepat menggunkan (Vehicle Routing Problem With Time Window) VRPTW, dengan tujuan menentukan optimasi rute yang dipengaruhi dengan Time window. Time window yang merupakan waktu pelayanan khusus yang disediakan oleh pelanggan. Algoritma Genetika merupakan salah satu algoritma yang dapat diterapkan untuk menyelesaikan Optimasi Distribusi Air Minum Kemasan dengan mendapatkan rute terbaik. Pencarian Solusi dilakukan dengan mengkombinasikan kromosom kemudian diproses dengan operator genetika (crossover, mutasi dan seleksi) dengan menginisialisasi parameter genetika (ukuran Populasi, probabilitas crossover, probabilitas mutasi dan jumlah generasi). Dari hasil pengujian diperoleh hasil terbaik dengan nilai fitness tertinggi pada ukuran populasi 100, jumlah generasi 2500 nilai probabilitasi crossover 0,3 dan probabilitas mutasi 0,7.
Optimasi Keanggotaan Fuzzy Tsukamoto Menggunakan Algoritma Genetika pada Penentuan Prioritas Penerima Zakat Alfiani Fitri; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 2 (2017): Februari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Before distributing zakat, required the selection data of recepients by considering some of its criteria because the scholarship must be received by people who are truly in need. The amount of data along with the various criteria that lead to the selection time to produce a long lasting decision. The system of priority SOS scholarship recipients are expected to produce a recommendation candidate who is suitable to receive the zakat with a relatively short time. In some studies mention that the use of fuzzy Tsukamoto methods sometimes does not necessarily produce the optimal final result. In this study, the accuracy of the test results by using fuzzy Tsukamoto alone is 0.725. One of the technique that can be used to provide a more optimal final result is the optimization of limited membership functions using genetic algorithms. The chromosome representation which is used is real-coded, crossover technique using a one-cut-point crossover, mutation techniques using random mutation and chromosomal repair using a hill climbing algorithm. The calculation result of the accuracy system by using the Spearman correlation in the optimization of Tsukamoto fuzzy membership using genetic algorithms with chromosomal repair mechanism is 0.986. While the accuracy test results of the optimization system of Tsukamoto fuzzy membership by using a genetic algorithm without chromosomal repair mechanism is 0.845. The accuracy results shows the increase of the accuracy value with the function optimization of Tsukamoto fuzzy membership by using the genetic algorithms and chromosome repairs with hill climbing.
Pemanfaatan Algoritma Genetika Untuk Optimasi 0/1 Multi-Dimensional Knapsack Problem Dalam Pendistribusian Produk (Studi Kasus UD.TOSA) Ryan Iriany; Agus Wahyu Widodo; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 4 (2017): April 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

As a distributor company, the cost of distribution is very influential on the benefits to be obtained UD.TOSA. The affect of distribution cost is the distance distribution. Besides affected by distance, cost is also influenced by the frequency of maintenance vehicles used in the distribution process. The more frequent occurrence of damage to the vehicle, it will increase the frequency of maintenance so that adds to the cost of distribution. One cause damage to the vehicle is because vehicles are often excess payload (overtonase). Excessive loads can also increase the potential for accidents that could result in damage to the product as well as the vehicle itself. This will result in reduced profits obtained. Products are distributed and used vehicles have their respective characteristics. Each vehicle has a limited capacity, so not all products can be loaded, the distributor can perform any combination of products that should be loaded in order to maximize cargo volume without exceeding the capacity of the vehicle. The combination of products in the distribution process is a complex combinatorial problems, problems of this combination into the multi-dimensional knapsack problem (MKDP). Utilization of genetic algorithms in multi-dimensional knapsack problem is to perform such optimization of capacity in the distribution process.The algorithm parameters used in this study is a population of 200, the generation of 100, cr by 0.9 and 0.1 mr. Excess load on the solutions produced by the system is equal to 0% of the maximum load capacity of the vehicle. Solutions generated by the system can be ensured not exceed the capacity, both of maximum space vehicles as well as the maximum load of the vehicle. It can reduce the risk of damage to the vehicle so that the frequency of maintenance is not too often.
Optimasi Komposisi Pakan Untuk Penggemukan Sapi Potong Menggunakan Algoritma Genetika Muhammad Noor Taufiq; Candra Dewi; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 7 (2017): Juli 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the problems that exist in Indonesia is not share of the number between the demand for beef cattle with the number of local beef cattle production. This caused by the increase in the number of people in Indonesia. It makes Indonesia have large enough dependencies to import cows from abroad to fulfill the need of Indonesian people. This study tries to implement the genetic algorithm to creating a qualified mixed ration at the reasonable cost. This study is expected to be able to increase the number of local beef cattle production to fulfill the need of Indonesian people. The representation used in this study is real code in which each chromosome initialize feed materials which used. The mutation method is the random mutation, and the selection method is elitism. The result of this study found the optimal parameter at 900 population, 800 generation and the combination of cr and mr as many as 0.9 and 0 with the highest fitness is 0,6266. The result obtained in the form of ration composition recommendation at minimal cost as daily based of the nutritional need of beef cattle
Optimasi Model Himpunan Keanggotaan Fuzzy Menggunakan Algoritme Evolution Strategies (Pada Data Diagnosis Penyakit Sapi Potong) Dyan Putri Mahardika; Wayan Firdaus Mahmudy; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 8 (2017): Agustus 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The increasing number of daily consumption of beef, it is need to monitoring the availability of good-quality beef, which is free from germs. In this research will be created a system that can be solve the subjective, unclear and vague problem, that is cattle disease diagnose, the existence of subjective information about the symptoms of the disease, then the diagnosis can be done using a fuzzy inference system. To obtaining the high accuracy, the set of fuzzy membership needs to be determined precisely. To get the best solution or in this case is the set of fuzzy membership can be done using Evolution Strategies method. The accuracy of the system is obtained by matching the results of the diagnosis and the diagnosis expert system using 51 generates test data accuracy rate of 95.49% using fuzzy. After optimization of the fuzzy set membership using evolution strategies (ES) produces better accuracy rate is 97.45% with the best parameters obtained ES is the population size of 80, offspring size of 10μ, and the amount of generation by 50.
Optimasi Komposisi Makanan untuk Penderita Hipertensi Menggunakan Variable Neighborhood Search Aprilia Nur Fauziyah; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 9 (2017): September 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hypertension is a major symptom that cause other diseases appear such as noncommunicable diseases, cancer, and diabetes. One of healthy life effort in the patients with hypertension is a healthy food that attentions level of salt in foods. The food composition with attentions level of salt and cost of the food can use Variable Neighborhood Search (VNS) algorithm. The data which are used for this study are 103 data food that consists of staple foods, vegetables, vegetable sources, animal sources and fruits. VNS have 3 stages after generate initial solution, there are shaking, local search and move or not. The results of Kmax and local search's testing show that the average of highest fitness is 0.516848 with Kmax = 13 and the highest average fitness is 0.524301 with 2000 iterations. Kmax and local search iterations that too much not guarantee a solution with great fitness is obtained but many Kmax numbers or local search iterations can give wider search opportunities. The result of this study contains composition of foods with nutrients which are close to the needs of hypertension patients with attentions the natrium and minimal cost within a day.
Hibridisasi Algoritme Genetika dan Simulated Annealing untuk Optimasi Multi-Trip Vehicle Routing Problem with Time Windows (Studi Kasus: Pariwisata Kabupaten Banyuwangi) Amalia Kartika Ariyani; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Along with the rapidly excalation in the number of tourists as well as tourism which are located in Banyuwangi, problems arise from the tourists. With limited time, they would like to visit as many destinations without wasting time in traveling. However, another problem happened when the visitor and each visited destination has time windows or visiting time which has been established. From this issue, it needs a solution to solve the problems regarding with the tourism scheduling with the optimal time based on time windows from the tourists and the destinations. Generally, these problems called Vehicle Routing Problem with Time Windows (VRPTW). VRPTW problems can be solved with several optimization methods, including using hybridizing genetic algorithm and simulated annealing. Genetic algorithms (GA) will be used to explore the global optimum problem, while Simulated annealing (SA) will be used to exploit a local optimum problem. The fitness value approach optimal i.e. of 1.0616 obtained by using parameters of GA-SA on the size of population of 400, amount of generation by 800, combination of cr and the mr of 0.3 and 0.1, initial temperature of 0.9, cooling factor of 0.9, and the coefficient of acceptance of a new solution amounting to 200. Using these parameter values hybrid GA and SA outperforms separated GA and SA.
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

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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 Menu Makanan Bagi Pasien Gagal Ginjal Menggunakan Algoritme Lebah Yeni Herawati; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kidney failure is a chronic metabolic disease that becomes a health problem in the world. Patients with kidney failure should have a special diet to control their diet and keep the kidney damage from getting worse. Diet to help patients improve eating and sports habits to gain better metabolic control. Patients should limit what foods can be consumed. This causes the patient to really pay attention to the food menu. To solve the case requires a bee algorithm. This study used 132 lists of foods with nutritional content (protein, carbohydrates and fats). The algorithm process uses an integer representation of length 15 which the resulting number represents the food index. From the test, we get the optimal parameter of 100 individuals with the average fitness value of 0.107823, 100 iterations with the average fitness value of 0.103334. The results of this study are the composition of the food menu in a day (breakfast, lunch and dinner) at a minimal cost.
Optimasi Penataan Barang pada Proses Distribusi Menggunakan Algoritme Evolution Strategies Rani Kurnia; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 5 (2018): Mei 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Distribution is the one of important processes in industrial activities such as goods's distribution. But unfortunately, this process is one of processes that spend much expense. Then it be required a great management to minimize costs for that's process. One of them is to optimization the goods organize management. Optimization problem of goods organize management can be solved using evolution strategies algorithm that known as a simple algorithm that can be solved a complex problems. In this case, evolution strategies algorithm start with raising the random individu, then mutation process, then do the goods organize management process to get the fitness result and close with selection process to get the great individu. Based on the test of goods organize management that have been process with 50 goods, it get the optimal parameter consist of population 60, lambda 18, offspring 18μ, and generation 15 with the fitness's average is 2,404. The final result of this experiment is a scheme of the optimal solution for goods organize management in vehicle.
Co-Authors A.N. Afandi Abdul Latief Abadi Abdul Latief Abadi Achmad Arwan Achmad Basuki Achmad Ridok Adimoelja, Ariawan Aditama, Gustian Adyan Nur Alfiyatin Agi Putra Kharisma, Agi Putra Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Agung Setia Budi Agus Naba Agus Wahyu Widodo Agus Wahyu Widodo Agus Wahyu Widodo, Agus Wahyu Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Aji Prasetya Wibawa Al Khuluqi, Mabafasa Alauddin, Mukhammad Wildan Alfiani Fitri Alfita Rakhmandasari Alfiyatin, Adyan Nur Alqorni, Faiz Amalia Kartika Ariyani Amalia Kartika Ariyani Amalia Kartika Ariyani Anantha Yullian Sukmadewa Andi Kurniawan Andi Maulidinnawati A K Parewe Andi Maulidinnawati A. K. Parewe Andreas Nugroho Sihananto Andreas Pardede Andreas Patuan G. Pardede Andrew Nafalski Angga Vidianto Aprilia Nur Fauziyah Aprilia Nur Fauziyah Arief Andy Soebroto Arinda Hapsari Achnas Armanda, Rifki Setya Arviananda Bahtiar Arya, Putu Bagus Asyrofa Rahmi Asyrofa Rahmi Asyrofa Rahmi Asyrofa Rahmi Asyrofa Rahmi, Asyrofa Bagus Priambodo Bayu Rahayudi Binti Robiyatul Musanah Budi Darma Setiawan Burhan, M.Shochibul Cahya, Reiza Adi Cahyo Prayogo, Cahyo Candra Dewi Candra Fajri Ananda Cleoputri Yusainy Darmawan, Abizard Hashfi Dea Widya Hutami Dhaifullah, Afif Naufal Diah Anggraeni Pitaloka Didik Suprayogo Dinda Novitasari Dinda Novitasari, Dinda Diny Melsye Nurul Fajri Dita Sundarningsih Durrotul Fakhiroh Dyan Putri Mahardika Edi Satriyanto Edy Santoso Eko Widaryanto Elta Sonalitha Ervin Yohannes Evi Nur Azizah Fadhli Almu’iini Ahda Fais Al Huda Fajri, Diny Melsye Nurul Fatchurrochman Fatchurrochman Fatwa Ramdani, Fatwa Fauzi, Muhammad Rifqi Fauziatul Munawaroh Febriyana, Ria Fendy Yulianto Fitra Abdurrachman Bachtiar Fitri Anggarsari Fitria Dwi Nurhayati Gayatri Dwi Santika Ghozali Maski Grady Davinsyah Gusti Ahmad Fanshuri Alfarisy Gusti Ahmad Fanshuri Alfarisy, Gusti Ahmad Fanshuri Gusti Eka Yuliastuti Hafidz Ubaidillah Hamdianah, Andi Hanggara , Buce Trias Herman Tolle Hernando, Deo Heru Nurwarsito Hidayat, Luthfi Hilman Nuril Hadi Ida Wahyuni Imada Nur Afifah Imam Cholisoddin Imam Cholissodin Imam Cholissodin Imam Cholissodin Indriati Indriati Irvi Oktanisa Ishardita Pambudi Tama Ismiarta Aknuranda Jauhari, Farid Khozaimi, Ach. Kukuh Tejomurti, Kukuh Kuncahyo Setyo Nugroho Kuncahyo Setyo Nugroho Kurnianingtyas, Diva Lily Montarcih Limantara M Chandra Cahyo Utomo M Fadli Ridhani M Shochibul Burhan, M Shochibul M. Shochibul Burhan M. Zainal Arifin Mabafasa Al Khuluqi Mar'i, Farhanna Marji Marji Mayang Anglingsari Putri, Mayang Anglingsari Mochamad Anshori Moh. Khusaini Moh. Sholichin Moh. Zoqi Sarwani Mohammad Zoqi Sarwani Mohammad Zoqi Sarwani, Mohammad Zoqi Mu’asyaroh, Fita Lathifatul Muh. Arif Rahman Muhammad Ardhian Megatama Muhammad Faris Mas'ud Muhammad Halim Natsir Muhammad Isradi Azhar Muhammad Khaerul Ardi Muhammad Noor Taufiq Muhammad Rivai Muhammad Rofiq Nadia Roosmalita Sari Nadia Roosmalita Sari Nadia Roosmalita Sari Nadya Oktavia Rahardiani Nashi Widodo Ni Wayan Surya Wardhani Nindynar Rikatsih Novanto Yudistira Novi Nur Putriwijaya Nurizal Dwi Priandani Nurul Hidayat Oakley, Simon Oktanisa, Irvi Philip Faster Eka Adipraja Prayudi Lestantyo Purnomo Budi Santoso Putra, Firnanda Al Islama Achyunda Putri Hasan, Vitara Nindya Putu Indah Ciptayani Qoirul Kotimah Rachmansyah, Ghenniy Rachmawati, Christina Rani Kurnia Rayandra Yala Pratama, Rayandra Yala Retno Dewi Anissa Riani, Garsinia Ely Rifa’i, Muhaimin Rikatsih, Nindynar Rinda Wahyuni Rizal Setya Perdana Rizal Setya Perdana Rizdania, Rizdania Rizka Suhana Rizki Ramadhan Rody, Rafiuddin Ruth Ema Febrita Ryan Iriany S, M Zaki Samaher . Saragih, Triando Hamonangan Sari, Nadia Roosmalita Sari, Nadia Roosmalita Selly Kurnia Sari Setyawan Purnomo Sakti Sudarto Sudarto Sukarmi Sukarmi, Sukarmi Sulistyo, Danang Arbian Sutrisno . Sutrisno Sutrisno Syafrial Syafrial Syafrial Syafrial Syaiful Anam Syandri, Hafrijal Tirana Noor Fatyanosa, Tirana Noor Titiek Yulianti Titiek Yulianti Titiek YULIANTI Tomi Yahya Christyawan Tri Halomoan Simanjuntak Ullump Pratiwi Utaminingrum, Fitri Utomo, M. Chandra Cahyo Vivi Nur Wijayaningrum Wahyuni, Ida Widdia Lesmawati Windi Artha Setyowati Yeni Herawati Yogi Pinanda Yogie Susdyastama Putra Yudha Alif Aulia Yudha Alif Auliya Yudha Alif Auliya, Yudha Alif Yulia Trianandi Yusuf Priyo Anggodo Yusuf Priyo Anggodo Yusuf Priyo Anggodo Yusuf Priyo Anggodo, Yusuf Priyo