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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Journal of Applied Engineering and Technological Science (JAETS)
Agus Wahyu Widodo
Fakultas Ilmu Komputer, Universitas Brawijaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Implementasi Metode Haar Wavelet Untuk Penentuan Mutu Pada Citra Digital Jeruk Keprok (Citrus Reticulata Blanco) Nur Faiqoh Laely Ambarwati; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Tangerine (Keprok) is one of well known horticultural commodities products in Indonesia. Tangerine fruit quality is determined manually, so far. The tangerine's skin texture can be used as an indication of the tangerine image quality determination. This study implements the Haar Wavelet method to determine the quality of tangerines in standard and automatic ways. The processes carried out in this study are preprocessing, Haar Wavelet feature extraction, and classification of tangerine fruit images using the k-NN algorithm. Statistical calculations of mean, standard deviation, and skewness are used to represent the Haar Wavelet features. The result of the Haar Wavelet extraction process is an image of tangerine that has been classified into Grade Super, Grade A, or Grade B. The Haar Wavelet decomposition process in this study was carried out at level 1 and level 2. The test results showed that level 1 Haar Wavelet decomposition produces a higher accuracy than Level 2. The highest accuracy obtained is 90%.
Penerapan Ekstraksi Ciri Local Binary Pattern pada Pengenalan Karakter Kode Peti Kemas Aisha Laras; Muh. Arif Rahman; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Untuk dipublikasikan di Indonesian Journal of Computing and Cybernetics Systems (IJCCS)
Klasifikasi Terumbu Karang Memanfaatkan Ekstraksi Fitur Tekstur Full Neighbor Local Binary Pattern Muhammad Ikhsan Nur; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Artikel jurnal dipublikasikan di Jurnal Internasional Terindek Scopus
Klasifikasi Jenis Terumbu Karang Memanfaatkan Ekstraksi Fitur GLCM Circular dan Radial Co-Occurrence Matriks Bagas Laksono; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Artikel dipublikasikan di Indonesian Journal of Electrical Engineering and Computer Science
Underwater Image Color Enhancement dengan menggunakan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE) dan Gamma Correction (GC) Irwan Shofwan; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Untuk dipublikasi di Journal of ICT Research and Applications
Pengembangan Sistem Informasi Manajemen Produksi Telur PT. Vega Nusa Argita berbasis Web (Studi Kasus : Desa Watukebo Kecamatan Rogojampi Banyuwangi) Resya Futri Hadi Febryana; Adam Hendra Brata; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Vega farm is a business that is engaged in animal husbandry. Veg farms are focused on raising laying hens, where laying hens are a type of chicken that is specially raised for eggs. In one year laying hens can produce about 250-300 eggs. In vega farms, all production activities carried out must go through a process of recording that is useful as an evaluation material in the development of laying egg production for every day. However, the recording process carried out on vega fram farms is still done manually, namely the recording of data is still recorded using a book which is then transferred to Excel. Therefore, based on these problems, this research developed a web-based management information system that can help vega farms in managing production data of laying hens. This research uses the waterfall method in developing information systems which are implemented using the PHP programming language in the codeigniter framework. This system has been tested with the blackbox method for validation testing that produces 1115 test cases with 100% valid results, whitebox testing for unit testing, compatibility testing for testing non-functional requirements and based on the results of tests that have been carried out the system can run on different web browsers different.
Optimasi Rute Distribusi Lokal Buah Segar Menggunakan Algoritme Genetika (Studi Kasus: PT Great Giant Pineapple) Asfie Nurjanah; Agus Wahyu Widodo; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 12 (2020): Desember 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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In terms of time and financial costs, transportation and distribution are the biggest challenges for the fresh produce industry in Indonesia. On time delivery and the freshness of the product when it reaches the customer are demands that must be met by the company, as experienced by PT Great Giant Pineapple. To solve this problem, a system is needed to improve the quality of distributing products by minimizing distribution distances by finding the optimal route for the vehicle by considering travel time, service time and vehicle transport capacity. This problem in determining the optimal distribution route is known as the Vehicle Routing Problem with Time Windows (VRPTW). Genetic algorithm is one method that can be used to solve the VRPTW problem. The genetic algorithm uses a permutation representation where the chromosome length represents the number of subscribers. The search for solutions is carried out by combining chromosomes and then processed using genetic operators (mutation, crossover, and selection) by initializing genetic operators (population size, number of generations, crossover probability, and mutation probability). The test results show that the distribution route optimization using a genetic algorithm can reduce the travel time in distributing goods by 1 hour 37 minutes with the highest fitness value obtained at population size 120, the number of generations 100, the combination of crossover probability value 0.4 and mutation probability 0.6.
Pengembangan Aplikasi Identifikasi Penyakit Tanaman Tembakau Menggunakan IBM Watson Visual Recognition Berbasis Android (Studi Kasus: Balai Penelitian Tanaman Pemanis dan Serat (BALITTAS)) Azizah Nurul Asri; Fajar Pradana; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Tobacco plants in Indonesia are still a plantation commodity that is widely cultivated by the people of Indonesia. The obstacles are often found by farmers in the garden due to the increase of disruptive organisms such as viruses. In an effort to maintain the quality of tobacco products, farmers should know as quickly as possible the disease that is infecting crops so that it requires experts to identify the disease. While experts sometimes need time to review directly to the garden. Therefore, farmers and experts need applications that can help in the process of identification of tobacco diseases so as to provide treatment recommendations in order to shorten the time. The application was developed by implementing an Android-based prototyping development model, assisted by ibm Watson Visual Recognition services and implemented in Java language. After the prototype is finished, it is then evaluated using cognitive walkthrough and it is concluded that the functions in the prototype are in accordance with the needs. Then a second iteration is carried out to add consultation features, after which the finished application is tested first by using Whitebox and Blackbox tests that produce 100% valid built as needed. Then performed usability testing with System Usability Scale method to measure user comfort when using the application and obtained SUS score results that fall into acceptable category.
Klasifikasi Amfibi di Asia Tenggara dengan Penjajaran Sekuen DNA Menggunakan Algoritme Genetika: Classification of Amphibian in Southeast Asia by DNA Sequence Alignment using Genetic Algorithm Yunita Kristanti Emilia; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Analysis of DNA sequences is the main thing in the process of classification of amphibians at the family level. One method in sequence analysis is sequence alignment but it requires a large amount of time and cost. The problem of adding gaps and how long gaps are also a problem in the sequence alignment. The amphibian classification process uses genetic algorithms for inserting gaps with several modifications at each stage so that the DNA structure does not change. This study uses two cut point crossover and reciprocal exchange mutation. Fitness scores are used for the classification process by calculating proportions and then convert to evolutionary distance values. The data used were 363 amphibian DNA with 16s rRNA genes divided into five families namely Bufonidae, Dicroglossidae, Megophyridae, Ranidae, Rhacophoridae. Testing the accuracy of the system using the parameters crossover rate = 0.7, mutation rate = 0.3, popsize = 700, number of generations = 900, and multiplier factor = 1.2. System accuracy testing for five families was done 10 times each and got an average accuracy of 94%. With an average accuracy of the system, the genetic algorithm can carry out the sequence alignment process for amphibian classification.
Penerapan Ruang Warna HSV dan Ekstraksi Fitur Tekstur Local Binary Pattern untuk Tingkat Kematangan Sangrai Biji Kopi Muhammad Fahmi Wibawa; Muh. Arif Rahman; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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The popularity of coffee-based dishes is now being favored by many people, especially Indonesians. Not a few people also want to try to make coffee dishes (roasted coffee beans) with their own flavors but are constrained by such expensive equipment for cooking coffee beans with sophisticated systems purchased in the market. With so many color standards for the level of ripeness of coffee beans available, an innovation has emerged to determine the ripeness level of the coffee bean roast automatically, more efficiently, and as desired. However, in taking pictures there are constraints on excessive light intensity so that the resulting image looks biased. From these problems, an approach can be made using the Hue and Saturation color features which are able to detect and reduce excess light intensity from the outside and become the main focus of this research. The features used are the Hue and Saturation color spaces using the values ​​from the normalization results of the Red, Green, and Blue (RGB) color features, and using 500 coffee roast images. This study uses two methods, the first uses RGB values ​​without normalizing them by using the features Hue and Saturation which are able to get 76% accuracy with 3 classes of data matching results (Green Roast, Yellow Roast, and Dark Roast), and the second feature Hue and Saturation normalization are able to get an accuracy of 70% with data matching results of 4 classes (Green Roast, Yellow Roast, Light Roast, and Dark Roast).
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 Diva Kurnianingtyas 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