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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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Ekstraksi Fitur Momen Warna HSV Dan Fitur Ciri Tekstur Gray Level Co-Occurrence Matrix Untuk Pengenalan Jenis Jajanan Pasar Arya Agung Andika; 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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Artikel dipublikasikan di JITeCS
Pengenalan Karakter Kode Peti Kemas dengan Memanfaatkan Haar Wavelet sebagai Metode Ekstraksi Ciri Putu Satya Cahyani; 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 Knowledge Engineering and Data Science (KEDS)
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.
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