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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Community Empowerment
Randy Cahya Wihandika
Fakultas Ilmu Komputer , Universitas Brawijaya
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Public Health Social Sciences

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Pengembangan Aplikasi Mobile Web Pengelolaan Gudang Kain (Studi Kasus: CV Sidodadi Textile) Kevin Haidar; Agi Putra Kharisma; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Companies engaged in distribution utilize warehouses as temporary storage places for goods. The use of warehouses certainly has several procedures that must be applied so that goods are managed properly. In the practice of warehouse management, there are several processes that are carried out before the goods are distributed to customers. Based on interviews and observations that have been made, CV Sidodadi Textile experienced several main obstacles, including recording incoming and outgoing goods manually, causing difficulty in managing documents and archives of incoming and outgoing goods. From the problems that exist in the CV Sidodadi Textile, this research offers a solution by developing a mobile web-based fabric warehouse management application that is used for recording data such as incoming goods, outgoing goods, stock of goods, and the position of placing goods which was developed using the waterfall model. This study found 20 functional requirements, 2 non-functional requirements, and 5 actors. This application was developed using the laravel framework. The results of the tests that have been carried out on the mobile web application are validation testing getting the results of the predicate 100% passed, compatibility testing getting the results that the application can run on both iOS and Android mobile browsers, and usability testing getting results with excellent predicates on every aspect of the User Experience Questionnaire (UEQ).
Pengembangan Sistem Penjualan Garam pada UD Sejahtera di Situbondo Nur Wahyu Ningtyas; Denny Sagita Rusdianto; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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UD Sejahtera is an individual trading company that is engaged in the production and distribution of fine sea salt and sea salt. The company gets the supply of sea salt from suppliers, namely salt farmers, then distributes it to sellers. The production of fine sea salt is made from the result of the milling of sea salt. The problem related to salt marketing that occurs at the company is that the information of salt products cannot be accessed directly in the process of buying sea salt by customers. Another problem that the company faced is the ineffective data storage system. Sales reports, supply reports, and stock records are not up to date. If there is an error of data, it is necessary to check repeatedly against the documents that have been stored. Often the reporting is wrong and late, too much time of searching and adjusting the wrong data, as well as errors in recording the amount of remaining stock. This problem has the potential for losses to the company. This web-based system was built to overcome these problems. This system is expected to help the salt marketing process and record sales reports and supply reports. The process of developing this system is done using waterfall model. The stages performed in this research are literature review, requirements, design, implementation, testing, and conclusion. This system has been tested with unit, integration and validation testing.
Ekstraksi Ciri Corner Triangle Similarity dan Eye Aspect Ratio untuk Deteksi Tatapan Mata Delapan Arah Dimi Karillah Putra; Randy Cahya Wihandika; Achmad Ridok
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Someone with a disability and cannot move their body parts is having a harder time when operating a computer system. This is becoming a problem because the computer itself has become one of the technologies used to find information in this information technology era. Someone with a heavy case of disability can operate computers using an eye tracker system. In this research, corner triangle similarity and eye aspect ratio method are used to extract features from facial image data so the eye gaze direction can be classified using random forest classifier. The research is conducted using facial data images with 270 images divided into nine classes. According to the testing that has been done, the accuracy of the scenario where the image is used, the facial image without turning the head has better accuracy than the image where the head is turned. The accuracy that has been obtained is 88% on the train data and 50% on the test data. While doing analysis of the test result, it was revealed that the feature extraction method can be implemented but didn't give the best result like didn't detect the pupil at the eyes or wrongly detected circle in the image with the center of the circle located on the sclera of the eyes or the skin around the eyes. Besides that, with the existence of the turned head image in the dataset without the turning direction feature in the dataset made the similar and almost the same data but have different class. These things impacted on the classification result that in the end didn't produce a really accurate result.
Pengenalan Entitas Bernama pada Bahasa Madura menggunakan Algortima Viterbi dan Hidden Markov Model (HMM) Moh. Dafa Wardana; Putra Pandu Adikara; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Diterbitkan di JTIIK (Jurnal Teknologi Informasi dan Ilmu Komputer)
Klasifikasi Status Gizi Balita menggunakan Metode Optimasi Random Forest dengan Algoritme Genetika (Studi Kasus: Puskesmas Cakru) Ersya Nadia Candra; Imam Cholissodin; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nutritional problems in the critical period of toddlers aged 0-59 years have a fatal impact on a person's growth and development in the future. Due to lack of or excess nutrition in the first 2 years of life, it causes permanent brain function impairment and degenerative diseases. In this case, the monitoring and examination of the nutritional status of children under five carried out by health workers and posyandu cadres are generally carried out by manual recording and further analysis is carried out by comparing the nutritional measurement data of children under five with nutritional status standards. The manual analysis is prone to errors of inaccuracy in identifying the nutritional status of children under five and takes a long time due to the large amount of data, so it's not practicable. Based on these problems, the authors apply the random forest method which is optimized with genetic algorithms to classify the nutritional status of toddlers accurately and quickly. After testing, the average accuracy by the random forest method optimized with genetic algorithms is 89.58%, the average precision is 74,34%, the average recall is 58,68%, and the f1-score is 65,54% with a population size parameter of 20, 3 iterations, a crossover rate value of 0,7, an mutation rate value of 0,3, and the number of features 4. From the evaluation results of accuracy, precision, recall and f1-score obtained in this study, it shows that the genetic algorithm is able to find optimal parameters from random forests so as to produce higher accuracy, precision, recall and f1-score.
Ekstraksi Ciri Tekstur Local Ternary Pattern dan Klasifikasi Naive Bayes untuk Deteksi Penggunaan Masker Wajah Hafiz Ari Putra; Randy Cahya Wihandika; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Corona Virus Disease is a new outbreak that can transmit infection through close contact or water droplets. Corona virus attacks the human respiratory system so that it can cause illness with symptoms of fever, cough and shortness of breath that can cause death. The use of a mask that covers the nose and mouth can prevent transmission. As a form of prevention, people are starting to be forced by regulations to always use masks in public places and when interacting with other people. However, it will be difficult for the authorities to monitor large groups of people. These problems can be solved with a system to detect masks. Mask detection in this study uses the naive bayes classification to distinguish a face with a mask correctly or incorrectly and also without a mask. The information used for classification is obtained through the histogram of facial image texture feature extraction using Local Ternary Pattern. The extracted image is preprocessed which includes resizing the image width and image grayscaling. The data used are 3,900 face images. Tests were carried out on the size of the image width, the threshold value, the number of bins, and the split of training and testing data. The results of the naive bayes classification produce an optimal accuracy of 68.462% with an image width of 50, a threshold value of 4, the number of bins 32, the distribution of training and testing data are 70%: 30%. Tests with 2 classes, namely correctly masked faces and unmasked faces, obtained an accuracy value of 86.15%. Based on these results, it is known that the naive bayes classification cannot properly classify images in the masked class incorrectly.
Pengembangan Sistem Pelayanan Pasien berbasis Web (Studi Kasus: Puskesmas Rejowinangun Kabupaten Trenggalek) Threecia Agil Regitasari; Adam Hendra Brata; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Rejowinangun public health center is one of the medical services in Trenggalek which serves 7 villages. There are counters for running the services, which are registration, treatment, payment, and pharmacy. In operation, Rejowinangun public health center has several challenges. One of them is duplicate in patient call list data between two or more patients that can cause confusion among patients and delay serving time. That can happen because patient calls are done by sound amplifiers by patient name and village data. If the patient data is not the same as the medical record, the patient has to wait again. Based on the mentioned problems, a Web-Based Patient Service System has been developed with some features such as patient registration, data search, patient calls, data processing related to medical records, and service data reporting. It is expected to solve the problem. System developed with the waterfall model. This research found 8 actors with 78 functional requirements and 1 non-functional requirement. This system was tested using unit testing and validation testing. Unit testing done by white-box testing with PHP Unit found a 100% valid result. Validation testing is divided into two, functional and non-functional. Functional validation testing was done by using black-box testing and got a 100% valid result. Non-functional validation testing is done by using compatibility testing with the Sortsite application and the result is that the system can run well on all browsers.
Klasifikasi Batik dengan Ekstraksi Fitur Tekstur Local Binary Pattern dan Metode K-Nearest Neighbor Muhammad Tegar Kanugroho; Muh. Arif Rahman; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is a country that consists of many islands and has a diversity of tribes that are scattered throughout its archipelago. Diverse ethnicities, various characteristics are also owned in order to distinguish one tribe from another. One of the distinguishing characteristics is batik, which is widely known and has become a cultural heritage. When viewed from the picture, the batik pattern has a texture. In digital image processing, texture can be used as an element that differentiates batik from one another, one of which is the Local Binary Pattern (LBP) method. By using the Local Binary Pattern (LBP) method, the texture of batik will be recognized as a feature of digital image processing, the batik image can be processed to obtain several similar images. The research process on batik begins with pre-processing, then extraction of texture features in the image using the Local Binary Pattern (LBP) method and continues with classification by K-Nearest Neighbor (KNN). In this study was using the normalized LBP value. At normalized values, the best results are using K-Nearest Neighbor with neighbors (K) = 5 by getting an accuracy of 65%
Pembangunan Sistem Transaksi Penjualan Barang dan Jasa (Studi Kasus: Startup Botanis Kota) Heykhal Hafiddhan Rachman; Denny Sagita Rusdianto; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 1 (2023): Januari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Startups are business entities that have a small scope. Nevertheless, startups are not free from some problems. One of them is the Botanis Kota Startup. This startup has a problem with the division of work duties, which is mostly done by business owners. With a website to make transactions and orders, it is hoped that it can reduce the owner's workload. The steps taken in conducting this research use the Waterfall software research method. This research begins with a literature study, then conducts requirements engineering for the system, system design, system implementation, and system testing. In requirement elicitation step, the results obtained are system requirements consisting of 42 functional requirements and 1 non-functional requirement. Next, the design results in a software design that is made in accordance with the needs of the needs analysis. After the design is complete, implementation is carried out with the PHP programming language using the YII framework and MySQL database. At testing stage, the results obtained from unit testing using the highest cyclomatic complexity is worth 10 and the function test of 3 sample components and software integration is 100% valid, then validation testing of 42 functional requirements and 100% valid value, then compatibility testing found there were minor problems that did not affect the main functions in Safari and Firefox browsers. The results of the tests carried out, the system built has met the requirements of functional and non-functional needs of the problems found in the case study taken at Botanis Kota Startup.
Ekstraksi Ciri pada Klasifikasi Citra Batik menggunakan Metode Gray Level Co-Occurrence Matrix, Local Binary Pattern, dan HSV Color Moment Amar Ikhbat Nurulrachman; Randy Cahya Wihandika; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 1 (2023): Januari 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One form of art passed down by the ancestors of the Indonesian nation is batik, batik in every region in Indonesia has a variety of colors and motifs. The diversity of colors and motifs of batik makes it difficult for many Indonesians to know the type of batik they are wearing. Every batik has a pattern, every pattern has a texture. Texture and color are the distinguishing elements between one batik and another, both are forms of feature extraction that can be used to group batiks that have similar patterns. In this study, a combination of Gray Level Co-Occurrence Matrix, Local Binary Pattern, and HSV Color Moment features was used to obtain texture and color characteristics from batik images, while K-Nearest Neighbor was used to classify batik images. Test results on scenarios using different feature combinations, a combination of features Gray Level Co-Occurrence Matrix, Local Binary Pattern, and HSV Color Moment using 200 batik image datasets consisting of 10 batik classes, obtain the highest accuracy value of 0.29 on the neighbor value K=5, on the other hand, in the test scenario using a different number of classes, the highest accuracy value is obtained when using 5 classes, each class consisting of 10 batik images, the accuracy value is 0.68 at the neighbor value K = 4.
Co-Authors Achmad Arwan Achmad Ridok Achmad Yusuf Adam Hendra Brata Adam Sulthoni Akbar Adinugroho, Sigit Aditya Putra Pratama Agi Putra Kharisma Agung Nurjaya Megantara Agus Wahyu Widodo Akhmad Sa'rony Amar Ikhbat Nurulrachman Anang Hanafi Angky Christiawan Rongre Ani Enggarwati Ardisa Tamara Putri Ardiza Dwi Septian Arif Pratama Arynda Kusuma Dewi Barlian Henryranu Prasetio Bayu Kusuma Pradana Bayu Laksana Yudha Bayu Rahayudi Budi Darma Setiawan Budi Dharma Setiawan Candra Dewi Chandra Tio Pasaribu Cindy Cunday Cicimby Cornelius Bagus Purnama Putra Cusen Mosabeth Dani Devito Daris Hadyan Tisantri Denny Sagita Rusdianto Devinta Setyaningtyas Atmaja Dhan Adhillah Mardhika Dhanika Jeihan Aguinta Diajeng Sekar Seruni Dian Eka Ratnawati Dimi Karillah Putra Dito Rizki Pramudeka Dizka Maryam Febri Shanti Dwi Rahayu Eka Putri Nirwandani Emma Wahyu Sulistianingrum Ersya Nadia Candra Fachril Rachma Zulfidar Fachrur Rozy Faizatul Amalia Fajri Eka Saputra Fanny Aulia Dewi Fera Fanesya Fida Dwi Febriani Fikri Hilman Firda Oktaviani Putri Fitra Abdurrachman Bachtiar Frisma Yessy Nabella Gilang Widianto Aldiansyah Glenn Jonathan Satria Gregorius Ivan Sebastian Hafiz Ari Putra Hamim Fathul Aziz Heykhal Hafiddhan Rachman I Gusti Ngurah Ersania Susena Imam Cholissodin Indriati Indriati Irnayanti Dwi Kusuma Jonathan Reynaldo Kevin Haidar Kevin Nastatur Chatriavandi Koko Pradityo Lailil Muflikhah Lalu Muhammad Ivan Natania Latifa Nabila Harfiya M. Rikzal Humam Al Kholili Moh. Dafa Wardana Mohammad Rizky Hidayatullah Muchlas Mughniy Muh. Arif Rahman Muhamad Ilham Dian Putra Muhamad Wahyu Budi Santoso Muhammad Alif Fahrizal Muhammad Amin Nurdin Muhammad Faiz Abdul Hamif Muhammad Ihsan Diputra Muhammad Shidqi Fadlilah Muhammad Tanzil Furqon Muhammad Tegar Kanugroho Naufal Akbar Eginda Nindy Deka Nivani Nova Amynarto Novanto Yudistira Nur Wahyu Ningtyas Nurul Hidayat Nurul Muslimah Pindo Bagus Adiatmaja Pupung Adi Prasetyo Puspita Sari Putra Pandu Adikara Putu Gede Pakusadewa Qurrata Ayuni Raden Rafika Anugrahning Putri Ratih Kartika Dewi Rayindita Siwie Mazayantri Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rizal Setya Perdana Rizky Nur Ariyanti Ruri Armandhani Sarah Najla Adha Satria Dwi Nugraha Satyawan Agung Nugroho Sema Yuni Fraticasari Sevtyan Eko Pambudi Sigit Adinugroho Siti Robbana Sukma Fardhia Anggraini Supraptoa Supraptoa Sutrisno Sutrisno Tahajuda Mandariansah Threecia Agil Regitasari Tifo Audi Alif Putra Tri Kurniawan Putra Utaminingrum, Fitri Valen Novandi Kanasya Vandi Cahya Rachmandika Winda Cahyaningrum Yosendra Evriyantino Yosua Christopher Sitanggang Yudha Prasetya Anza Yuita Arum Sari Yurdha Fadhila Hernawan