Article Per Year (5 Year)
p-Index From 2021 - 2026
2.395
P-Index
This Author published in this journals
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

Published : 113 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 113 Documents
Search

 8   9   10   11   12 
Sistem Rekomendasi Film Menggunakan Content Based Filtering Muhammad Fajriansyah; Putra Pandu Adikara; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growth in the number of cinema audiences is increasing in line with the large number of films being produced. Various films with plot stories, genres, and film themes that are similar or different have enlivened the industrial market from overseas to domestic film. Of the many films produced, it makes potential viewers confused and difficult to find and determine what film to watch next so that they spend more time looking for films. Some people use the features provided on some sites to search for movies to decide which movie to watch. Everyone has different tastes and tends to choose to watch movies that are similar to the movies he likes. One way to get the right information about a film is a recommendation system. Each film has some information in the form of different genre films and synopsis films. In this study, to obtain the recommendation results using a content based filtering algorithm by looking for the similarity in weight of the terms in the bag of words result of pre-processing film synopsis and film title. The weighting is carried out using the TF-IDF method which has been normalized. Then the weighting results will go through the cosine similarity stage to look for similarities based on weights and end with filtering based on genre. Based on the results of tests carried out by involving three participants with a total number of films as many as 4000 film titles, the accuracy value is obtained using the mean average precision @K (MAP @ K) is 0.823254 for the single query type and 0.7500556 for the multiple seed query type. From these results, it is found that the single query type produces better recommendations than the multiple seed query type.
Penentuan Kualitas Biji Kopi Menggunakan Local Ternary Patterns Dan RGB-HSV Color Moment Dengan Learning Vector Quantization Fajri Eka Saputra; Randy Cahya Wihandika; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Coffee cultivation in Indonesia is still done by very traditional methods, like wise in determination of its quality level by sorting it out still done by human operators by considering its size and density, which means determination of coffee bean's quality level is very depended on the operator's ability, so that is susceptible to mistakes and non-technical factors that accompany it. The quality level of coffee bean itself is divided to 6 grades that is grade 1 to grade 6 for each variant. One of the methods that can be done to ease determination of the quality of coffee beans is by processing its image by extracting texture feature by using Local Ternary Patterns(LTP) method, color feature with HSV and RGB Color Moment, and utilizing classification algorithm Learning Vector Quantization (LVQ). This method is considered as a breakthrough in coffee bean's grade determination because the cost is cheaper but still gives decent results considered in a relatively short time. In this study, the image data used is as many as 150 data with 30 data on grade 1 through 5 because the data availability was not up to grade 6. This study results a system that was able to classify the quality of coffee beans with an accuracy rate of 84,4%. Two of the entered quality cases were successfully predicted with 100% correctness, namely grade 1 and 5.
Identifikasi Fertilitas Telur Ayam Kampung Menggunakan Metode Learning Vector Quantization (LVQ) Dan Ekstraksi GLCM Feris Adi Kurnia Sadiva; Muh. Arif Rahman; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The high consumption of native chickens by people in Indonesia indirectly demands the field of native chicken farming so that the need for the amount of meat can be met. In the initial stage, namely breeding, breeders need to produce chicken eggs to be used as seeds, where the success of hatching eggs can be identified by monitoring at the age of 8 days of the incubation period. These eggs can be identified earlier at the age of 5 days of incubation but require good eye ability because the chicken embryos that are formed are still small. A fertility classification system is needed so that eggs can be identified whether they are capable of hatching or not. The system in this study uses the Gray Level Co-occurrence Matrix (GLCM) method for the feature extraction process from an egg image. The extraction results are reprocessed using the Learning Vector Quantization (LVQ) method so that the results of the classification of the egg image classification are fertile or infertile. The data used are images of eggs that have gone through an incubation period of 5 days and are photographed with the aid of a flashlight. The results of this study, the GLCM method was able to extract features from the image of native chicken eggs, either fertile or infertile, with a significant value. Whereas for the LVQ method, the best test results are using learning rate of 0.05 and for GLCM using 5 features with 0 degree for angle orientation, with an accuracy value of 88.13%.
Pengembangan Sistem Informasi Manajemen Klinik Kecantikan Dan Umum Berbasis Web (Studi Kasus: Praktik Mandiri Dokter Lina Malang) Aida Fitri Nur Amrina; Nurudin Santoso; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of technology increasingly influences every aspect in the life of modern society today, which can be felt. Basically, technology is presented to facilitate the activities that have been done so as to increase the efficiency of time which is quite significant. One technology that is very familiar is the website. And the website itself is not only limited to providing the information sought but can also be used to manage existing data so that it can produce information. When we discuss about data processing it must be very closely related to Systems Information Management (SIM), a lot of data that we can process on SIM as in business and health aspects. In the aspect of health that can take care of patient data, patient history data, drug inventory data, as well as the most inherent in processing health data is medical data record. In the case study of the Independent Clinic Doctor Lina, which is a clinic that serves general problems and there are also beauty problems. In carrying out the activity of registration, patient queuing system, examination and management of products and clinical medicine, this method still uses conventional methods or by writing it down in a paper which is stored as book archives for each type of activity. This problem can greatly slow down the performance of the clinic because the number of patients visiting will continue to increase in proportion to the running time so the data that needs to be stored will also increase and become more complex. So that from the problems that arise from the clinic will be built a system that is capable of processing data contained in the clinic such as patient personal data, patient medical record data, patient visit data, disease data, as well as logistical data such as beauty products and medicines. Where later all the data stored in this system will be able to occur integrated in every part of the activities in the clinic as well as data accessed by many actors in the same place and time by creating a website-based of clinical management information system.
Ekstraksi Fitur Color Moments Ciel*A*B*, Hsv, Dan Local Binary Pattern Untuk Klasifikasi Citra Kue Tradisional Delischa Novia Sabilla; Yuita Arum Sari; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Untuk dipublikasikan di SIET
Pembangunan Sistem Pemesanan Lapangan Futsal berbasis Web (Studi Kasus: Zona SM Futsal Malang) Miftahul Arifin; Agus Wahyu Widodo; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The management of the futsal field affects the success of this business. In handling business activities, it often experiences obstacles in the order process, transaction management, transaction recapitulation, and transaction reports. This problem occurs in the futsal field at Zona SM Malang , in the organization of transactions still using the offline system by recording orders, making proofs with paper, making a data recap that the manager has difficulty because there is a lot of paper to be collected and also unorganized storage of ordering data for field use. Futsal properly and correctly so that the data will be lost. For the ordering system, tenants must come to Zona Malang SM location to place an order. As a futsal court, ZONA SM requires an order system to manage transaction data and ordering systems. Based on these problems, it is to improve the effectiveness of the field ordering process and data management in Zona SM Malang Futsal. The system development in this study uses the SDLC waterfall with an object oriented approach, the design stage uses UML modeling which can be used to make implementations, the system is built using the programming language PHP, HTML, and CSS. For databases using MySQL. The testing phase on functional requirements uses blackbox testing and whitebox testing and shows 100% valid results on both tests. Testing for non-functional requirements uses browser compatibility testing and shows the results that the system is compatible in various browsers.
Optimasi Rute Distribusi Produk Minuman dan Makanan pada Distributor Nestle (CV Forward Kediri) dengan Algoritma Ant Colony Optimization Allifira Andara Hasna; Bayu Rahayudi; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The distribution process at CV Forward Kediri involves more than one sales for the product delivery process. In this case, the route determination management from the distributor is very important so that the distribution process can be more optimal. The problem experienced by many salespeople in finding the closest route is known as the Multiple Traveling Salesman Problem. One of the optimization algorithms to solve the closest route-finding problem is the Ant Colony Optimization algorithm. This algorithm is algorithm that is inspired by groups of ant colonies in finding a path to get food. In this study, to determine the resulting solution from the Ant Colony Optimization algorithm, a comparison of the initial conditions with the system was carried out. By testing the parameters of Ant Colony Optimization, the optimal parameters are obtained, namely the iteration of 2000, the alpha value, the beta value of 0.1, the rho value of 0.3, and the tau value of 0.03. Based on the results of the comparison of the system using the Ant Colony Optimization algorithm, with an average fitness of 121.27 with the original condition of 179.42, it turns out that the results obtained by the system are much shorter than the original condition so that it can provide more optimal results.
Implementasi Algoritme Ant Colony Optimization untuk Optimasi Rute Distribusi Produk Kebutuhan Pokok dari Toko Sasana Bonafide Mojoroto Revan Yosua Cornelius Sianturi; Bayu Rahayudi; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Efficient work is a profitable job because it is free from certain problems, such as distance problems in the distribution process. Therefore, optimization is one of the solutions that can be relied on as an efficient way to solve a problem, such as the Ant Colony Optimization's algorithm (ACO) in optimizing the distribution route of goods or basic needs products at the Sasana Bonafide store. The optimization problem in this study utilized the concept of the Multi Traveling Salesman Problem (M-TSP) because it involved more than one distributor and had a single depot, which was the Sasana Bonafide store. This study utilized data on customers who lived in 34 different addresses. In this study, ACO succeeded in producing the best solution by combining parameter values to solve the distance optimization problem. The combination of the ACO parameter values utilized in this study, namely the control constant for the intensity of the ant pheromone trail was 1, the visibility control constant was 1, the evaporation constant for the ant pheromone trail was 0.1, and the number of iterations was 500. These parameters were utilized in system testing that tested four times using four different actual data and produced the best solution with each percentage, which was 31.56% produced a distance of 39.4 km, 23.25% produced a distance of 43.52 km, 23.66% produced a distance of 44.14 km, and 25.97% produced a distance of 39.97 km.
Estimasi Sisa Makanan Otomatis pada Kotak Makan menggunakan Segmentasi Citra berbasis Clustering dengan Algoritme K-Means Haris Bahtiar Asidik; Yuita Arum Sari; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Food is a source of energy for living things, consuming food in standardized portions can help meet nutritional needs, but on the other hand, it will have a negative impact on the body. Foodservice in the hospital is a support system in accelerating the patient's healing process, the patient's leftover food reflects the patient's low acceptance of food which can increase the risk of malnutrition. Currently, the global volume of food waste is estimated at 1.6 billion tonnes with food waste carbon estimated at 3.3 billion tonnes of CO2 equivalent to greenhouse gases per year. It takes a tool to find out how much food a person has consumed. With the development of technology, the process of calculating the weight of food waste can be done through the image of the food before it is eaten and the image of the food after it is eaten. The food image in the lunch box is segmented to obtain food segments in the image through the clustering method using the K-means algorithm based on the blue color level in the image. The results of the Intersection over Union (IoU) segmentation accuracy on images with a white background reached 98.9%. Based on the segmentation results obtained, the weight of leftover food was predicted using the Elementary Leftover Food Estimation (EFLE) method. By using the Root Mean Square Error (RMSE), the experimental results reach the smallest error of 1.12. This indicates that the proposed method is capable to project the weight of the food residue.
Pengembangan Sistem Informasi Manajemen Aset Fakultas Ilmu Komputer Universitas Brawijaya berbasis Mobile Umar Zaki Izzuddin; Herman Tolle; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Faculty of Computer Science (FILKOM) has a work unit that is responsible for managing and maintaining infrastructure, namely the general and equipment work units. There are several problems that exist in this work unit. The first problem is that the process of reporting complaints from the academic community is still verbal so that it takes time to coordinate from the reporter to the staff of the infrastructure section until the improvement of infrastructure is carried out. The second problem is that the process of making daily activity reports made in the form of physical documents results in wasteful use of paper and file stacking. The third problem is in routine maintenance activities, making maintenance reports from activities already use google forms but there is a buildup of data on the limited capacity of the google drive. From the use of this google form, there are also problems in the form of incomplete maintenance data and mismatch of data from each infrastructure. This research seeks to develop a mobile-based asset management information system. This research adopts the waterfall method in system development. The stages of the waterfall method are requirements, design, implementation and testing. The requirements stage produced four actors, 28 functional needs, one functional need, and requirements modeling using use case diagrams and use case scenarios. Design stage results in modeling sequence diagrams, diagram classes, algorithm design, database design and interface design. The implementation stage is carried out by realizing the actual system of the results of the design that has been carried out. All functional requirements tests which are unit testing, integration testing, and validation testing result in valid status in all test cases. In the usability test, an average score of 87,5 was obtained, which means that the system is acceptable to users.
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