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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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Diagnosis Penyakit Mata menggunakan Metode Improved K-Nearest Neighbor Anggita Nurfadilla Mahardika; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The eye has a very important for the human body which is as the sense of sight. Humans can do a variety of activities based on visual information received through the eyes. A healthy eye is very supportive to various activities and make out activities without obstacles. So the importance of the part of the eye, health of eye needs to be right considered and cared because the eyes do not escape the threat of disease that can disturb with vision. But, in the fact the people is still underestimate and consider the problem of eye disease is not dangerous. Lack of public awareness about eye diseases can worsen eye conditions if that cannot be handled and resolved to quickly. Beside, the factors that make some people still apathetic to eye diseases, they do not know if they suffer from eye disease and ignore the symptoms that are felt. Public ignorance of the symptoms that arise due to eye disease because people are still reluctant to check eye health to health services, because the cost of the examination, especially for the cost of specialist doctors that are considered quite high. Therefore, in this problem the authors then build an early diagnosis of eye diseases to facilitate the public in recognizing visual disturbances or eye diseases based on symptoms that are felt. In construction this system, the writer uses the Improved K-Nearest Neighbor methods. The improved K-Nearest Neighbor method has been proven to get a good results. The highest accuracy from system using lmproved K-Nearest Neighbor method by 88% in the process of diagnosis of eye disease.
Pembangkitan Pohon Keputusan dengan Metode Genetic Programming pada Kasus Penentuan Penderita Diabetes Melitus Farizky Novanda Pramuditya; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 12 (2019): Desember 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diabetes mellitus is one of the leading causes of death a disease because it can cause many health complications. Method that can help to diagnose this disease early is sorely needed. Genetic programming is a method used in this research. Genetic programming is one evolutionary algorithm that uses parse tree as its solution representation. This method will produce decision tree as its output which will be used to diagnose patients in the testing dataset. This research will also observe the correlation between genetic programming parameters and fitness value. Tree with highest fitness value produced with population number 900, maximum iteration 300, crossover rate 0.8, mutation rate 0.1 and training data with ratio of patient with diabetes and patient without diabetes 1:2. Decision tree produced with those parameters will be used to diagnose diabetes patient in testing data. The accuracy of decision tree produced with this method is 66,11%.
Segmentasi Pembuluh Darah pada Citra Retina Menggunakan Ciri Multi-Scale Line Strength Muhammad Faiz Abdul Hamif; Randy Cahya Wihandika; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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One of the disease that should be worried about and can cause the sufferer to have a risk of complications in several parts of the body is diabetic. If this disease attacked the blood vessel in the eye, this disease then called diabetic retinopathy. Diabetic retinopathy examination is carried out every six months including retinal imaging and analysis. The evaluation of retinal images become a serious burden for opthalmologists because the patients with diabetic retinopathy are increasing but the healthcare workers are limited. One way to alleviate the ophthalmologist's workload is to use computer assistance with Multi-Scale Line Strength algorithm for features extraction and Support Vector Machine (SVM) classification algorithm for segmenting the retinal images in a supervised way and the Optic Disc Exclusion algorithm for eliminating the optic disc area in the segmentation result images. The performance of these algorithm is measured in the DRIVE dataset. The accuracy, sensitivity, and specificity obtained from the Multi-Scale Line Strength algorithm combined with SVM are 0,94021, 0,61084, and 0,99693. If those algorithm is combined with the Optic Disc Exclusion algorithm, the performance results are 0,94014, 0,60277, and 0,99694. Both performance results are obtained at window size 13.
Pemanfaatan Fitur Warna dan Fitur Tekstur untuk Klasifikasi Jenis Penggunaan Lahan pada Citra Drone Deo Hernando; Agus Wahyu Widodo; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Land use is a way to use land in carrying out certain objectives. Examples of land use types are forests, rice fields, housing, roads and rivers. However, the many transfers of land use functions, such as illegal logging of land used for housing development, require the use of land use planning. Given this issue, encouraging the writing of this research to assist land use planning by classification of land use types. The author uses two image features namely color features of 8 different color spaces (CMYK, HSV, HVC, Lab, RGB, YCbCr, YIQ, and YUV) and texture features using the Support Vector Machine classification method. The data used are 25 training data and 200 test data where the amount of data for each class is the same. The tests conducted are testing the color features with the highest accuracy, testing the texture features that affect accuracy, and the combination of color and texture features with the highest accuracy. The first test result is the color feature in the HSV color space has the highest accuracy of 98%. The second test result is the accuracy of texture features affected by image size, membership distance, and angle in the GLCM calculation. The image size of 900x900 with a membership distance of 1% and a combination of 4 corner features (0o, 45o, 90o, 135o) produces the highest accuracy of 96.5%. The third test result is a combination of color features in the CMYK, HSV, HVC, Lab, YCbCr, YIQ, and YUV spaces with the texture features of the second test results yielding the highest accuracy of 99.5%.
Pembangunan Sistem Pengelolaan Manajemen Rumah Indekos pada Indekos Semanggi di Kota Malang Susiawan Hastomo Ajie; Faizatul Amalia; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A good boarding house management will fulfill all its necessities. But there is error often occurred in data collecting when applying the boarding house management. The problem comes in Semanggi boarding house, such as takes a long time to find the position of the data. The problems in the data updating is often occurred in incorrect column and row positions, file corruption, delay to update the data, no payment receipts so that the boarders will be charged again when the data is not collected by the boarding house owner. The solution to solve these problems is the owners has to make boarding house management system followed by adding boarding house and boarders features, payment limit notifications, boarding payments, boarding house finance reports, room bookings, boarding house damage reports, printed payment as a proof, data check and also payment status. The development of this boarding house management system is used waterfall model. Unit testing comes to a value 100% valid as the result. The validation test gives 100% value too. The compatibility testing also gives 100% value using ten web browsers.
Temu Kembali Informasi Berita Berbahasa Indonesia menggunakan Metode BM25F Puteri Aulia Indrasti; Indriati Indriati; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of digital technology has a positive impact on information media such as news. Online news sites have become one of the most trusted source of information for conducting news searches. Finding news information online enables users to search directly in the search column of a news site. Online news has a structure or fields such as title, content, and additional tags. However, this will cause problems if many users searches are following the structure other than the title and content of the news which should have a more appropriate portion. Indonesian news information retrieval system is needed to solve this problem. Using methods that can solve the problem of structured documents. BM25F method is a ranking method that can consider the structure or field in a document. Tests carried out on BM25F free parameters get the best results at boost title = 5, content = 1, bc = 0,75, and k1 = 1,2. And the BM25F ranking test using precision @ k and r-precision in 600 news documents for 12 queries obtained the best average precision @ k = 0,95 when k = 5 and the best r-precision value = 1.
Ekstraksi Ciri Pada Klasifikasi Tipe Kulit Wajah Menggunakan Metode Gray Level Co-Occurrence Matrix Nanda Dwi Putra Miskarana Ade; Agus Wahyu Widodo; Muhammad Arif Rahman
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 Jurnal Simantec
Pengenalan Citra Jajanan Pasar Dengan Memanfaatkan Momen Warna RGB, HSV, Dan CIE Lab Serta Ciri Tekstur Local Binary Pattern Sri Rahadian Ramadhan Sakti; 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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Abstract

Artikel dipublikasikan di Advances in Systems Science and Applications (https://ijassa.ipu.ru/index.php/ijassa)
Deteksi Rambu Lalu Lintas menggunakan Algoritma Moore Neighbour Contour Following dan Simplifikasi Poligon dalam HSV Color Space Achmad Dewanto Aji Wibisono; 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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Abstract

Traffic Signs Recognition System (SPRLL) is needed to map and repair road signs, driver assistance systems, and autonomous cars. As one of the important parts of SPRLL, the introduction of traffic signs has some difficulties in dealing with real traffic conditions due to changes in illumination, partial occlusion, too much noise and a small sign size compared to other objects. The program flow from the detection system usually uses known features, extracts from the region that is promoted by the program, and filters negative regions. Derived from the above requirements, we need a system that can be used to detect traffic signs that exist in an image. This traffic sign detection system is applied by the writer to the German Traffic Sign Detection Benchmark GTSDB dataset. Some images taken in poor conditions such as foggy can reduce the accuracy of the detection system. In evaluating the system, an evaluation method is used to determine the accuracy and accuracy of the system. A value of 0.75 is obtained for accuracy which states that the system is accurate enough to detect traffic signs on the dataset.
Pengenalan Wajah Menggunakan Ruang Warna HSV Dengan Ekstraksi Fitur LBP Untuk Presensi Kehadiran Mahasiswa Laviana Agata; 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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Abstract

Artikrel dipublikasikan di JITeCS
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