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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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Segmentasi Citra Makanan menggunakan Clustering Improved K-Means untuk Estimasi Sisa Makanan Alip Setiawan; Yuita Arum Sari; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every living thing needs food to live, grow and reproduce. Food is a basic need that is needed by humans as a source of energy to carry out activities in daily life. By eating nutritIoUs food can bring a person into a healthy diet. An unhealthy diet can cause a person to create diseases such as malnutrition or even death. It is important to regulate the amount of food consumption to maintain and maintain a healthy body, so we need a system that can estimate the food consumed. To estimate the weight of the food that has been consumed by someone, an image of the food is needed before and before consumption. In this study the data used is secondary data in the form of food images in the tray box which opens 31 images consisting of 124 compartment images. The improvement K-Means method was chosen for segmenting food images on the tray box. With the application of this method, it is expected to provide results with a small error rate and have good accuracy in the estimation of food waste in the tray box. the results based on the evaluation of the results of the highest average accuracy of segmentation results of 82% with the RMSE estimation of the smallest food waste weight achievement of 2.19. The test results show that the clustering method with the K-Means improvement algorithm can be used to estimate the weight of food images.
Klasifikasi Artikel Publikasi berdasarkan Judul pada Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) Universitas Brawijaya dengan menggunakan Metode Improved K-Nearest Neighbor Tanica Rakasiwi; Bayu Rahayudi; Achmad Ridok
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Publication articles are contained in journals published by universities or colleges and many are also published by institutions providing national and international journals. Journal of Information Technology and Computer Science (JTIIK) is one of several journals that accept publication articles based on the principle of open dissemination of publications to advance science, especially in the IT field. JTIIK itself is managed by the Faculty of Computer Science, Universitas Brawijaya and started publishing journals in 2014. At JTIIK, the author categorises Publication Articles manually by the author when submitting the manuscript or by the editor during the review and editing process. Therefore, there is a need for automatic grouping of Published Articles documents. The focus of this study is to determine the application of the Improved K-Nearest Neighbor method in the classification of the title of JTIIK Publication Articles. This research was carried out in several processes: Preprocessing, Word Weighting, Feature Selection, Cosine Similarity, and classification with Improved K-Nearest Neighbor. Testing the value of k and using feature selection with K-Fold Cross Validation, the results of changing the value of k and the application of feature selection affect the evaluation results of Improved K-Nearest Neighbor, with a value of k = 5 and feature selection with a threshold DF = 1 as the optimal parameter. Tests with all data resulted in Accuracy of 90.00%, F-measure of 85.78%, Recall of 87.58% and Precision of 84.40%.
Pengembangan E-Commerce dengan Integrasi API Payment Gateway Midtrans Gani Kharisma Wardana; Bayu Rahayudi; Widhy Hayuhardhika Nugraha Putra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Toko Arofah is a store in Surabaya that sells a variety of typical Arabian snacks and native Arabian herbal medicines. Currently, the sales are only carried out through the store directly and the promotion process is carried out via WhatsApp. That way is indeed less effective especially in the current pandemic season where everyone has to carry out social distancing. This has an impact on decreasing revenue at Arofah Shop and for customers also experiencing difficulties in getting herbal medicine or Arabian snacks. To facilitate this, an e-commerce website was built using the prototype method complete with features of product management, admin, and transaction management systems. In addition, integration with Midtrans, a payment gateway transaction payment service provider, is also carried out. This website is tested using black-box testing and usability testing. From the test results, it is found that the website can be easily learned and used by admins and users.
Implementasi Hybrid Algoritma Genetika dan Simulated Annealing untuk Optimasi Nutrisi Makanan Atlet Endurance Shafira Eka Aulia Putri; Bayu Rahayudi; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Food is the main source of energy for humans. Sufficient energy can support the performance of daily activities, especially for athletes, such as endurance athletes. Endurance athlete sports activities have a long enough duration so they require a lot of energy. Therefore, the selection of food components for athletes every day can be one of the supporting factors in providing their best performance. The current research provides a solution in the form of recommendations for food ingredients in 1 day for endurance athletes by considering their nutritional needs using a hybrid genetic algorithm and simulated annealing method. The food ingredients component has a total of 125 data, consisting of staple foods, vegetables, animals, and complementary foods that have carbohydrates, proteins and fats in them. Recommendations are given in the form of chromosomal representation of 14 food ingredients consisting of 3 food packages. Based on the testing process, the optimal parameter has a population of 1000, 2000 generations, the combination of Cr = 0.1 and Mr = 0.9, T0 = 0.7, T = 0.5, alpha value = 0.2. The results of this study resulted in recommendations for food components by considering the nutritional needs of athletes within the tolerance limit of nutritional content, which is ±10% for endurance sports athletes.
Optimasi Rute Distribusi Logistik pada Bekangdam dengan Algoritma Bee Colony Nadiah Nur Fadillah Ramadhani; Bayu Rahayudi; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kodam V Brawijaya is the Regional Defense Command in East Java Province. The area of ​​Kodam V Brawijaya covers areas spread across East Java such as Pacitan, Ngawi, Madiun, Blitar, Nganjuk, Kediri, Mojokerto, Malang, Situbondo to Banyuwangi. One of the bodies in Kodam V Brawijaya is Bekangdam. Bekangdam or Kodam Transport Provisions is the regional implementing agency of the Indonesian Army in the regions whose function is to provide supplies for combat logistics and war transportation. The supplies for Bekangdam will be distributed to the areas of Kodam V Brawijaya. In addition to combat equipment and war transportation, Bekangdam's logistics are in the form of food, medicine and other basic materials. The distribution process at Bekangdam uses land transportation in the form of trucks. Bekangdam has obstacles in determining the optimal route because of that in the delivery process Bekangdam often experiences delays. Based on these problems, an appropriate method is needed to deal with this problem, this study uses the bee colony algorithm in solving the case of multiple traveling salesman problems with the aim of finding the optimal route in the logistics distribution process. Based on the tests carried out, the route generated by the system is more optimal than the route chosen by Bekangdam V Brawijaya. This study obtained the optimal value for the 115th popsize, the 40th limit and the 1200th iteration. From the parameters used, the total distance from the system was 2454.65 km, while the total distance selected by Bekangdam was 2874.1 km.
Optimasi Kombinasi Bahan Makanan untuk Meningkatkan Imunitas dan Pencegahan Dini Tertular Covid-19 pada Usia Dewasa Muda menggunakan Algoritma Genetika Anggi Novita Sari; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Covid-19 pandemic is a new virus that attacks the body's immunity, various steps and efforts have been made to prevent transmission of the virus. The problems experienced are that the spread of Covid-19 is very fast, lack of exercise and high stress levels can weaken the body's immunity, and a poor diet can worsen the body's immunity. And there is no computer-based system to determine the combination of food ingredients as a form of early prevention of contracting Covid-19. The Ministry of Health provides an appeal for the fulfillment of balanced nutrition to increase body immunity so that it can reduce the risk of chronic diseases and infections with optimal nutrition to build or improve the body's immunity to work properly. In solving optimization problems, genetic algorithms can be used, which are effective in solving optimization problems with chromosomal variations obtained through the basis of biological evolution with a wide search space, so that they are not trapped in the local optimum. This study provides recommendations for food ingredients that can be consumed for 2 days and in consultation with nutritionists. Based on the test, the most optimal results are obtained with a combination of the values ​​of cr 0,3 and mr 0,7 with an average fitness value of 0,848, a population size of 160 with an average fitness value of 0,917, and the number of generations 241 with an average fitness value of 1,076. And can save expenses by 33% in a day with an average cost of Rp26.800 for men and 42% for women with an average cost of Rp23.350.
Optimasi Multiple Travelling Salesmen Problem Distribusi Produk PT Indomarco Adi Prima (Stock Point Nganjuk) dengan menggunakan Algoritma K-Means dan Algoritma Genetika (GKA) Yusuf Afandi; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Distribution is one thing that is very important so that a product can be delivered to customers / consumers. The job of a salesman is to visit the store or customer one day before the goods are shipped to offer the product and record the ordered goods. Factors that must be considered in the process are the time and costs required to be as minimal as possible. One aspect that can influence these two factors is the optimal travel route. In this study, the problem that we will try to solve is the optimization of product distribution routes at PT Indomarco Adi Prima (Stock Point Nganjuk) which has several points to be visited by more than one salesman one day before the distribution of goods. There are several processes to solve these problems, namely input data in the form of latitude and longitude data, then the data will be divided into several clusters according to the number of salesmen in the company, then each cluster will look for the shortest route for 5 working days and the end result is all the shortest routes from each cluster the total distance traveled will be calculated. Based on the results of tests that have been carried out using latitude and longitude data obtained from PT Indomarco Adi Prima (Stock Point Nganjuk), the most optimal route results with a total distance of 259.722337 km with a fitness of 0.385026. The most optimal parameter is when the population size is 1600, the number of generations is 800 with a combination of crossover rate (cr) 0.4 and mutation rate (mr) 0.6.
Penentuan Tingkat Kepentingan Email dengan menggunakan Metode K-Nearest Neighbor (Studi Kasus PT Green Air Paciffic Surabaya) Ade Wahyu Muntizar; Bayu Rahayudi; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Email is one of the digital means of communication that has existed since the beginning of internet development and is currently being used popularly. Email is an important means of communication, including for PT Green Air Pacific Surabaya. PT Green Air Pacific Company is a private company engaged in logistics. Because it is engaged in logistics, most of its operations use email as a medium of communication and information. In a day messages received via email can reach 700 messages. Incoming email messages are also not all-important for company productivity, so the increasing number of incoming email messages can actually make it difficult to process company email messages. Based on these problems in this study, an email classification system was made based on its usefulness and importance where the method used was the K-Nearest Neighbor (KNN) classification method. The results of the email classification system based on its importance using the KNN method (a case study of PT Green Air Pacific) show that the highest F-Measure is located at k= 3 and k= 4, which is 98.734, and with the K-Fold Cross Validation data validation method, the F results are obtained.-The highest measure is 100%.
Rekomendasi Pengambilan Asuransi Kecelakaan bagi Driver menggunakan Improve K-Means dengan Inisialisasi Centroid berbasis Sum Square Error dan K-Nearest Neighbor Maulana Syahril Ramadhan Hardiono; Bayu Rahayudi; Dian Eka Ratnawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Carelessness in driving can result in accidents that can harm yourself and others. To reduce losses caused by accidents, one can use insurance services. However, there are still many Indonesians who have not used insurance services due to high premiums. From these problems, a solution is needed to recommend someone to take insurance from the level of driving experience. One of the methods adopted from this research is to improve k-means with centroid initialization based on sum square error and k-nearest neighbor. The data used in this research are 600 data safe drivers, consisting of numeric data and categories. The recommendation process begins with clustering using k-means with the initialization of centroid sum square error which produces an average of 1000 iterations, which is 1660.64. From the SSE process, the optimum centroid was obtained and continued with the k-means process with k-prototype. The use of k-prototype is due to the data consisting of numeric and categorical data. After the clustering process, the distance between the tes data and the centroid is calculated to find the closest cluster. Furthermore, the classification process is carried out on the nearest cluster in order to make the classification process more efficient. The classification process uses KNN which aims to determine whether data is included in the recommendation category and not. From the tesing process the improve k-means method produces the highest average value of 72.83% accuracy, while the KNN method produces an average accuracy value of 47.5%. The results of these calculations use the value of k = 3 and k-fold on cross validation of 5.
Penerapan Metode AHP dan TOPSIS sebagai Sistem Pendukung Keputusan untuk Pemilihan Laptop Baru dan Bekas sebagai Media Penunjang Pembelajaran Masa dan Pasca Pandemi COVID-19 Mohammad Aditya Noviansyah; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

During pandemic period student requires to receive online education because of government regulations to limit activities outside home. Online learning support media such as laptops, mobile phones and computers need to be owned to run online education. These problems have resulted in the need for online learning support devices that continues to grow, including the sale of laptops. Laptops have various specifications, differences in specifications in laptops will affect the function of their use. During the pandemic, students on average use laptops for office application and attending online classes which require low specifications. In addition, laptops are also used by them for graphic design or for gamers, which requires high specifications to meet their needs. To buy a laptop according to user needs, user need an expert to get the optimal laptop recommendation according to user needs. Problems in choosing the optimal laptop according to needs can be solved with a Decision Support System (DSS), which is known as a branch of science in operations research that can be used as decision support in a mathematical model. In this research, the method of Analythical Hierarchy Process and Technique for Order Preference by Similiarity to Ideal Solution are the methods chosen for decision making. The results of the implementation of laptop selection recommendations with the AHP and TOPSIS methods obtained an accuracy of 99.85%. Changes in accuracy can be affected by the paired criteria entered and the minimum specification laptop entered by the user.
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 Bachtiar, Harsya Bafagih, Novel Bagas Laksono Bastian Dolly Sapuhtra Basuki, Akbar Lucky Bisma Anassuka Brillian Aristyo Rahadian Buce Trias Hanggara Budi Darma Setiawan Cahyo Gusti Indrayanto Candra Dewi Candra Dewi Chandra, Ardhya Khrisna Christina Sri Ratnaningsih Cindy Cynthia Nurkholis Dahnial Syauqy Daniel Agara Siregar Dany Primanita Kartika Sari Dany Primanita Kartikasari Davia Werdiastu 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 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 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