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All Journal Jurnal Bisnis dan Manajemen Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal POINTER Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Seminar Nasional Teknologi Informasi Komunikasi dan Industri DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) Bulletin of Social Informatics Theory and Application
Bayu Rahayudi
Fakultas Ilmu Komputer - Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Public Health Social Sciences

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Implementasi Metode Naive Bayes Pada Diagnosis Penyakit Lambung Trio Pamujo Wicaksono; Nurul Hidayat; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internal disease is a disease associated with many vital organs in the human body, one of which is the Stomach. Stomach is an important organ in the body because it is one of the digestive organs of food and beverages consumed by humans. Gastric disease is less known to the public due to lack of information and knowledge about gastric disease so that people ignore the symptoms that arise. Lack of gastric disease specialist doctors also become the trigger of obstacles in the role of prevention of stomach disease early on so that required a system that has the ability as an expert by providing a certainty value. Therefore, based on the needs of a physician and the general public in overcoming the shortage of doctors, it takes an expert system application that is capable of diagnosing gastric disease so that the community needs for handling the illness can be fulfilled, it can be built software engineering with Naive Bayes method to diagnose disease hull using android based applications.
Implementasi Fuzzy Inference System (FIS) Pada Metode Tsukamoto Dalam Peramalan Produksi Roti (Studi Kasus: Harum Bakery) Meriza Nadhira Atika Surya; Nurul Hidayat; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, bread has became a trend of food that is much favored not only by foreign residents, but also by the people of Indonesia. The problem in Harum Bakery is still having difficulty in the production of bread because the method used is still conventional because the calculation used is still limited to its own estimates so that the bread produced sometimes the amount of excess or lack. In this study, the method used in this study is Fuzzy Inference System (FIS) Tsukamoto. This method is good enough to be used in the case of forecasting a production. From the system with the FIS method Tsukamoto, is expected to help the company so as to minimize losses and optimize profits. The results obtained were then evaluated by the RMSE method, the lowest error rate during the tests using 20 training data on the sweet bread with the result for sweet bread that is 69,9957142, and the bread cake is 8,77496439. Then for forecasting, the best result is using 60 training with RMSE value of 3.47850543.
Analisis Performansi Algoritma Greedy Best First Search dan Dijkstra Pada Aplikasi Pencarian Jalur Pendonor Darah Terdekat Andro Subagio; Bayu Rahayudi; Mochamad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Indonesian Red Cross (PMI) plays a very important role in providing the information needed by the community. One of the main information needed by the community is the blood supply. To obtain information related to the blood supply at PMI, there is a procedure that must be done in advance by the patient's family ie sending a form and blood sample to a blood bank at the hospital or to the laboratory of the PMI Transfusion and Blood Donor Unit (UTDD) in the City. However, the availability of blood stocks in the PMI UTDD is often not sufficient for blood needs and compulsory family families of patients who should look for blood donors that match the blood type of the patient. This certainly does not make it easy for the patient's family. In addition, families of patients who are in need of blood is also not easy to find blood donors who are located closest to the hospital. The shortest path search has several problems, but the main problem is finding the shortest route, of course, looking for the shortest possible route or path. However, for its implementation, this issue can be expanded more broadly among others to find the minimum cost, etc. In this research will be analyzed the performance of software to find information of the nearest blood donor with two different method, that is method of Greedy Best First Search and Dijkstra, besides analyzing the performance of the algorithm, this research also can know the percentage of similarity of output from searching the closest distance of both algortima , so it can know how many percent level of similarity of both algorithm. The result of the Dijkstra algorithm's order of growth value is better than the Greedy Best First Search method with a value of O (n ^ 2) and the similarity of the results of the two algorithms is 75%.
Optimasi Pakan Bibit Unggul Sapi Jantan Menggunakan Particle Swarm Optimization (PSO) (Studi Kasus pada Balai Besar Inseminasi Buatan Singosari) Daniel Agara Siregar; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cows are one of the staple food items needed to meet consumption needs in Indonesia. To produce a quality cow required good quality seed of cow. Based on data from Artificial Insemination Center (BBIB) Singosari, fluctuation in the value of the amount of frozen semen production due to decrease in the number of cow population and reduced production of fresh cement with good quality. Cattle feed is one of the factors that affect the quality of cement in cow. Provision of feed with good nutritional content and the right composition can improve the quality of cow. The Particle Swarm Optimization algorithm is chosen for optimization as it is easy to implement and faster in finding the optimum solution compared to other optimization methods. This problem uses initialization of particles, initial velovity, velocity updates, position updates, finding the fitness value of personal best ​​and global best. After conducting the experiment using the weight of the cow of 1114 kg, in obtaining the most optimal parameter result that is on the swarm size of 180, the number of iterations of 45, the inertia weight of of 0,4 and of 0,5, and the acceleration coefficient and respectively 2,5 and 0,5 and the values ​​of and respectively 0,5 and 2,5. Feed recommendation result by system can retrench fund as much as 32,104% compared to recommendation of feed at BBIB.
Perbandingan Jaringan Saraf Tiruan LVQ Dengan Backpropagation Dalam Deteksi Dini Penyakit Jantung Koroner Mohammad Setya Adi Fauzi; Bayu Rahayudi; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Coronary heart disease is one of the highest causes of death in the world. The World Heart Federation estimates the number of deaths from this disease in Southeast Asia to reach 1.8 million cases in 2014. In Indonesia in 2013 recorded 883,447 people diagnosed with coronary heart disease with the majority of patients aged 55-64 years and the death rate due to this disease is enough high, ie 45% of all deaths in Indonesia, so early detection of coronary heart disease is very important for the risk of this disease can be minimized. One of the popular machine learning techniques and fits in this case is the artificial neural network. Artificial neural networks are systems that are inspired by reasoning processes in human neural networks. In this study the authors compared the performance of artificial neural network LVQ method and Backpropagation method for early detection of coronary heart disease. The variables of coronary heart disease used in this study were gender, age, pulse, systolic blood pressure, cholesterol, blood sugar, triglycerides, chest pain, shortness of breath, and cough. From the results of this study showed that the Backpropagation method is better than the LVQ method with the comparison of the accuracy value of training of 95,99097% for Backpropagation compared to 66,89659% for LVQ and the accuracy value of testing of 68,76034% for Backpropagation compared to 54,30313% for LVQ.
Implementasi Algoritme Genetika Untuk Optimasi Komposisi Gizi Menu Makanan Bagi penderita Stroke Hemoragik Sofi Hidyah Anggraini; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stroke is one of the leading causes of death in the world. Hemorrhagic stroke becomes the most dangerous stroke because it can kill directly or even can leave a defect for the patient due to leakage or rupture of blood vessels in the brain. Thus, nutrition adjusment becomes one of the most important thing in preventing the recurrence of stroke and can recover the patient. Preparing a diet food menu for people with hemorrhagic stroke is not easy, because the preparation involves the equilibirum amount of nutritional menu and nutritional needs of patients. In this study, genetic algorithm implemented to solve the problem of diet food preparation for patients with hemorrhagic stroke. The data used as many as 42 data includes 12 carbohydrate, 15 animal protein, and 15 vegetable protein. The reproduction process uses the method of Extended Intermediate Crossover and Reciprocal Exchange Mutation by using permutation representation. The optimal parameter values of genetic algorithm based on the testing and analysis results are 0.1 and 0.9 for Crossover rate and mutation rate, 1000 for the population size, and 700 for the iteration amount on the convergence test.
Implementasi Metode Exponential Smoothing Untuk Prediksi Bobot Kargo Bulanan Di Bandara Internasional I Gusti Ngurah Rai Amaliah Gusfadilah; Budi Darma Setiawan; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Goods are important objects to meet people's needs and sometimes the procurement of goods can be done by transferring goods. Transfer of goods can use shipping via air transportation. However, the weight of the cargo indirectly can affect the speed of delivery. So that it demands the airport to always improve the provision of adequate facilities to meet the needs of cargo weight. To be able to meet these demands a mature prediction is needed. The prediction of cargo weight aims to determine cargo weight data in the future by using cargo weight data in the past. The prediction method used in this study uses the Exponential Smoothing method. Exponential Smoothing is a method that continually perfects predictive results by smoothing past values ​​of a data sequence by decreasing time. In this study comparing 3 Exponential Smoothing methods including Single Exponential Smoothing, Double Exponential Smoothing, and Triple Exponential Smoothing, where the method is used to generate predictive values ​​and then evaluate the results of predictions using the Mean Absolute Percentage Error (MAPE). The smallest MAPE is found in the Triple Exponential Smoothing method spanning 5 years with parameter values ​​α = 0.9, β = 0.1, and γ = 0.1 of 13.563. Based on the MAPE values ​​that have been obtained between 10 and 20, the Triple Exponential Smoothing method is included in the good criteria.
Query Expansion Pada Sistem Temu Kembali Informasi Dokumen Jurnal Berbahasa Indonesia Menggunakan Metode BM25 Faradila Puspa Wardani; Indriati Indriati; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer (J-PTIIK) is a collection of scientific papers from the research Faculty of Computer Science's students, Universitas Brawijaya. In each journal there is an abstract section which is a summary of the entire contents of the scientific work document, which contains concepts, problem statements, approaches, and conclusions that are arranged. The number of journals contained in J-PTIIK is very large, therefore a document search system is needed to facilitate users in finding journal documents, a search system that implements an Information Retrieval (IR). To minimize the results of returning documents that are not relevant to the IR, query techniques can be applied, called query expansion techniques. Application of query expansion can be done by using BM25 method. BM25 is an IR that is used to sort the results of the relevance documents to the query that user want to search. This research was conducted by aiming to see the results of query expansion in information retrieval of Indonesian journal using BM25 method. The result, when adding words for queries as many as 4 words, the Precision @ K value increases by an average of 0.492.
Penerapan Multi Travelling Salesman Problem Pada Optimasi Pendistribusian Bantuan Sosial Beras Sejahtera Studi Kasus: Perum Bulog Subdivre Malang Muhammad Nadzir; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Distribution is an economic activity that bridges the production and consumption processes. The distribution process is distributing goods from producers to consumers. Bantuan Sosial Beras Sejahtera (Bansos Rastra) Program has a goal to improving the quality of service for the poor through fulfilling food needs. The distribution system of Bansos Rastra sending goods to each Distribution Point by Perum Bulog in accordance with the data distribution request. In the process of distributing goods, it is necessary to calculate the route distance in order to minimize travel time with the problems used in processing document data is Multi Traveling Salesman Problem (m-TSP) with Genetic Algorithm. From the evaluation results, the distribution routes for each warehouse are recommended by meeting the limits made. Based on the research carried out, the optimal parameters obtained were the size of the optimal number of generations of 300 generations, the optimal size of the population is 90 populations. The crossover probability value is 0.1 and the probability of mutation is 0.9 so that it gets the best average fitness value of 2.583. The final evaluation results produce the best chromosomes with a difference in the predicted distance that is more efficient than the actual distance so that the distribution process of Bansos Rastra can be more optimal.
Klasifikasi Penurunan Fungsi Kognitif Pasien Stroke Menggunakan Metode Klasifikasi Random Forest Muhammad Shidqi Fadlilah; Randy Cahya Wihandika; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stroke is a disease that attacks all human, regardless of race, gender, and age. One of the effects of stroke is a decreased cognitive function. A human brain has many nerves, one of them is regulating the work of the human's cognitive function. Based on research by Wardhani (2015), factors that decreasing cognitive function consist of thirteen factors. So, a system that can detect a decreased cognitive function on a stroke patient is needed. So in this research, we make a system that could be used to classify the decreasing cognitive function using a random forest method. the random forest was chosen because this method is good for categorical data. Based on the testing result, the best tree that builds in this system was 100 trees. The average result of the accuracy obtained from all experiments were 53.094%. That number means that the system is still far from perfect. One of the factors that caused this system's imperfection was the distribution of training classes were not evenly distributed.
Co-Authors Abdullah Harits Abdurrahim, Ahmad Azmi Abhiram, Muhammad Tegar Achmad Choirur Roziqin Achmad Ridok Adam Hendra Brata Ade Wahyu Muntizar Adi Mashabbi Maksun Adi Maulana Rifa'i Adi, Tri Adinda Putri, Lintang Gladyza Adinugroho, Sigit Aditya Septadaya Aditya, Nathanael Chandra Afif Ridhwan Ageng Wibowo Agus Wahyu Widodo Agus Wahyu Widodo, Agus Wahyu Ahmad Afif Supianto Ahmada Bastomi Wijaya Aldi Bagus Sasmita Aldous Elpizochari Alfarisi, Raihan Alfian Reza Pahlevi Alip Setiawan Allifira Andara Hasna Alvian Akmal Nabhan Amaliah Gusfadilah Andhi Surya Wicaksana Andro Subagio Angga Wahyudi Kurniawan Pratama Anggi Novita Sari Anne Diane Rachmadani Arif Indra Kurnia Arina Rufaida Aristides, Joy Vianoktya Arjun Nurdiansyah Arsan, Danish Alif Arsti Syadzwina Fauziah Audia Refanda Permatasari Ayezha Halidar Putri Irwanda Ayuda Dhira Pramadhari Azizullah, Azraf Bachtiar, Harsya Bafagih, Novel Bagas Laksono Bastian Dolly Sapuhtra Basuki, Akbar Lucky Bayu Priyambadha Bisma Anassuka Brillian Aristyo Rahadian Buce Trias Hanggara Budi Darma Setiawan Cahyo Gusti Indrayanto Candra Dewi Candra Dewi Candra Setiawan Chandra, Ardhya Khrisna Christina Sri Ratnaningsih Cindy Cynthia Nurkholis Dahnial Syauqy Daniel Agara Siregar Dany Primanita Kartika Sari Dany Primanita Kartikasari Davia Werdiastu Dayfit Al Rashad, Muhammad Dedy Surya Pradana Dese Narfa Firmansyah Devi Nazhifa Nur Husnina Dhaifa Farah Zhafira Dhimas Wida Syahputra Dhiva Mustikananda Diamanta, Ananda Dian Eka Ratnawati Dian Ratnawati Dian Sisinggih Dimas Adi Syahbani Achmad Putra Djoko Pramono Djoko Pramono Dloifur Rohman Alghifari Dwi H Sulistyarini Dwija Wisnu Brata Dwija Wisnu Brata Dwija Wisnu Brata Dzulkarnain, Tsania Dzulkarnain, Tsania - Edgar Maulana Thoriq Edy Santoso Eko Wahyu Hidayat Ellita Nuryandhani Ananti Ema Rosalina Eni Hartika Harahap Fadilah Islamawan, Adam Faiz Abiyandani Faizatul Amalia Fajar Pangestu Faradila Puspa Wardani Faris Febrianto Farizky Novanda Pramuditya Fauzia, Sri Febrina Sarito Sinaga Ferina Kusuma Anjani Ferry Jiwandhono Fitria Yesisca Gagas Budi Waluyo Gani Kharisma Wardana Gilang Pratama Gusti Reza Maulana Haidar Azmi Rabbani Hanggara , Buce Trias Hardyan Zalfi Harris Imam Fathoni Haryuni Siahaan Hayunanda, alanela ganagisarama Heryadi Mochamad Ramdani Hidayati, Chofifa Hilmy Ramadhan, Achmad Zhafran Huda Minhajur Rosyidin Husalie, Levin Vinnu Imam Cholisoddin Imam Cholissodin Imam Cholissodin Immanuel Tri Putra Sihaloho Indriati Indriati Indriati Indriati Indriati, Indriati - Intan Sartika Eris Maghfiroh Irany Windhyastiti Irwan Shofwan Issa Arwani Issa Arwani Isti Rokayah, Iin Ivan Agustinus Jasico Da Comoro Aruan Jefri Hendra Prasetyo Jonemaro, Eriq Muhammad Adams Jumerlyanti Mase K., Anggraeni Dwi Kautsar, Ahmad Izzan Kevin Nastatur Chatriavandi Khairul Rizal Krishna Febianda Ksatria, Willyan Eka Kurnianingtyas, Diva Laila Diana Khulyati Lailil Muflikhah Liwenki Jus'ma Olivia M. Ali Fauzi M. Ali Fauzi M. Attala Reza Syahputra Made Tri Ganesha Madjid, Marchenda Fayza Marji Marji Marpaung, Veronika Oktafia Marwa Mudrikatussalamah Maulana Syahril Ramadhan Hardiono Maulana, M. Ighfar Maulidhia, Abrilian Meriza Nadhira Atika Surya Michael Eggi Bastian Mochammad Ilman Asnada Mohammad Aditya Noviansyah Mohammad Setya Adi Fauzi Mohammad Zahrul Muttaqin Muh. Arif Rahman Muhammad Ferian Rizky Akbari Muhammad Hidayat Muhammad Ikhsan Nur Muhammad Jibril Alqarni Muhammad Kevin Sandryan Muhammad Nadzir Muhammad Nurhuda Rusardi Muhammad Razan Nadhif Muhammad Reza Utama Pulungan Muhammad Shidqi Fadlilah Muhammad Syahputra Muhammad Tanzil Furqon Mukhtar Darma Hidayat, Alif Ahmad Muthia Maharani Muzayyani, Muhammad Farid Nadiah Nur Fadillah Ramadhani Najihah, Siti Waheeda Nanang Yudi Setiawan Nanang Yudi Setiawan Nanda Alifiya Santoso Putri Nashihul Ibad Al Amin Niken Hendrakusuma Wardani, Niken Hendrakusuma Nilna Fadhila Ganies Novanto Yudistira Nur M. F. Dinia Nurfadhilah, Rakhmad Giffari Nuril Haq, Muhammad Nurizal Dwi Priandani Nurul Hidayat Nurul Ihsani Fadilah Obed Manuel Silalahi Panjaitan, RE. Miracle Pascad Wijanata, Ida Bagus Prakosa, Wira Zeta Pramudita, Julina Larasati Primayuda, Averil Priscillia Vinda Gunawan Purnomo, Welly Putra Pandu Adikara Putranto, Rezky Donny Putri Ratna Sari Putri, Firda Qhafari, Abi Al Qoid A Fadhlurrahman Rafli, Mohammad Ali Rahinda, Muhammad Abiyyi Ramadhani, T. Zalfa Randy Cahya Wihandika Rani Metivianis Rasif Nidaan Khofia Ahmadah RE. Miracle Panjaitan Reinaldi Guista Pradana Ismail Reiza Adi Cahya Renaldi Muhammad Revan Yosua Cornelius Sianturi Reyhan Dzickrillah Laksmana Reza Aprilliana Fauzi Rheza Raditya Andrianto Rifwan Hamidi Riswan Septriayadi Sianturi Riza Rizqiana Perdana Putri Rizky Ardiawan Rizky Nuansa Nanda Permana Rohimatus Sholihah Roisul Setiawan Roma Akbar Iswara Rudianto Raharjo Safa S Istafada Saifurrijaal, Muchammad Salsabila, Dhea Rani Sandi Dewo Rahmadianto Satrio Agung Wicaksono Sekeon, Yerobal Gustaf Septriayadi Sianturi, Riswan Setiana, Maya Setiawan, Roisul Shafira Eka Aulia Putri Slamet Thohari Sofi Hidyah Anggraini Sugeng Santoso Sugiarto S Sugiono Sugiono Sukmawati, Annisa Sultan Saladdin Sultan, Muhammad Attharsyah Firdaus Supraptoa Supraptoa Tanica Rakasiwi Tasya Agiyola Teri Kincowati Tri Astoto Kurniawan Trias Hanggara, Buce Trio Pamujo Wicaksono Ulva Febriana Umar Basher, Nizar Umu Khouroh Vivilia Putri Agustin Wahyu Bimantara Wayan Firdaus Mahmudy Welly Purnomo Welly Purnomo Weni Agustina Wenny Ramadha Putri Wibowo, Dhimas Bagus Bimasena Wicaksono, Satrio A. Widhy Hayuhardhika Nugraha Putra Widhy Hayuhardika Nugraha Putra Widodo, Ibnu Sam Widyadhana, Fawwaz Kumudani Wiku Galindra Wardhana Wisnu Brata, Dwija Yahya, Faiz Yesaya Sergio Vito Putranta Yudi Setiawan, Nanang Yuita Arum Sari Yusuf Afandi Zhafira, Dhaifa Farah