Claim Missing Document
Check
Articles

Found 30 Documents
Search

Face Recognition of Robust Regression With Pre-processing Technique using CLAHE technique Budi Nugroho
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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

Abstract

One of face recognition method that has been developed to overcome the problem of illumination variation is the Robust Regression. This method uses the Histogram Equalization technique in the pre-processing stage, which is used to reduce the effects of illumination factors on face images. The results of previous research show the face recognition performance of the Robust Regression method (which uses Histogram Equalization technique in the pre-processing stage) is very high. In this research, the Contrast-limited Adaptive Histogram Equalizaton (CLAHE) technique will be used in the pre-processing stage to replace the Histogram Equalization technique. The research was conducted to find out how the effect of pre-processing technique changes on face recognition performance. The empirical experiment was conducted using one of the standard face database data i.e the Extended Yale Face Database B. Based on the experimental results, the average accuracy of face recognition where in the pre-processing stage using the CLAHE technique is 98.06%. This result is better than face recognition performance using the Histogram Equalization technique at the pre-processing stage, where the average accuracy of facial recognition is 96.17%. Keywords: Face Recognition, Robust Regression, Contrast-limited Adaptive Histogram Equalizaton, and Extended Yale Database B.
Effect of Number of Face Images based on Illumination Variation in the Training Process on Face Recognition Results Budi Nugroho; Anny Yuniarti; Eva Yulia Puspaningrum
Prosiding International conference on Information Technology and Business (ICITB) 2019: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 5
Publisher : Proceeding International Conference on Information Technology and Business

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

Abstract

The research is related to face recognition which is influenced by illumination factor. The method used is the Robust Regression, which has a better performance than many other methods. The empirical experiment, which uses Yale Face Database B Cropped, is conducted to determine the effect of number of face images in the training process on face recognition perfomance. The hypothesis proposed in this research is the greater number of face images will result in higher facial recognition performance. The empirical experiment was conducted on this research to prove the hypothesis. Based on experiments that have been done, in general, the process of data training with many images will result in high performance of face recognition. But, this trend only occurs in images in the similar illumination condition. Illumination variation of face images also have significant impact on face recognition results. The process of training data with images of illumination variations (from several subsets of the face database) results in better face recognition performance than the process of training data with images of similar illumination conditions (from a subset of the face database). By using 19 images from subset 5 of the face database, face recognition accuracy is obtained at 95.11%. Whereas by only using 5 images from several subsets, obtained face recognition accuracy up to 96.10%. Even by using 7 images from several subsets, the accuracy obtained is up to 99.47%.Keywords: Face Recognition Performance, Robust Regression, Data Training
A Comparison of the Vector Space Model Method and Winnowing Algorithm to Measure the Similarity of Documents Eva Y Puspaningrum; Budi Nugroho; Firza Prima A
Prosiding International conference on Information Technology and Business (ICITB) 2019: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 5
Publisher : Proceeding International Conference on Information Technology and Business

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

Abstract

The growth of information and communication technology has increased significantly from year to year. The issue that is developing now is the number of documents that are copied and paste. The amount of text data is constantly increasing in cyberspace so that everyone can easily find the documents they need. Because of these problems, measuring the similarity of the two documents is necessary and is fundamental to detecting plagiarism from many different documents. In this work, we would like to compare the effectiveness of the algorithm used to measure the similarity between two documents. Winnowing and SVM algorithms are widely used to compare documents because the plot is easy to understand and easy to use. The Experiment Result, we can find that the performance of fingerprints and winnowing is better than VSM. Moreover, the winnowing algorithm is more stable than others.Keywords: Vector Space Model, Winnowing, Similarity of Documents
PERANCANGAN DESAIN APLIKASI PENYEWAAN JASA FOTOGRAFI DENGAN METODE DESIGN THINKING Wariyanti Nugroho Putri; Budi Nugroho
Jurnal Informatika dan Sistem Informasi Vol. 3 No. 2 (2022): Jurnal Informatika dan Sistem Informasi (JIFOSI)
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v3i2.597

Abstract

Sejalan dengan perkembangan zaman, dunia fotografi pun turut berkembang. Banyak kalangan yang memanfaatkan kegiatan fotografi sebagai wadah menyalurkan aktivitas, namun ada juga yang memanfaatkannya sebagai sarana penghasilan. Orang yang akan menyewa jasa fotografi biasanya akan mengunjungi tempat penyewaan terlebih dahulu secara manual, hal ini dirasa kurang efisien karena membuang banyak waktu. Berdasarkan masalah tersebut, di rancanglah aplikasi penyewaan fasa fotografi yang mempertemukan pihak fotografer dengan orang yang mencarinya. Aplikasi ini dirancang menggunakan metode design thinking yang diharapkan proses perancangan aplikasi akan berfokus pada penyelesaian permasalahan pengguna. Dengan adanya aplikasi ini diharapkan orang dapat menyewa jasa fotografi dengan mudah karena informasi jasa fotografi dapat dilihat di aplikasi mobile dimana saja dan kapan saja.
Performance of the CNN Method for Identifying Health Conditions Based on Nail Images Budi Nugroho; Retno Mumpuni; M. Syahrul Munir
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.33106

Abstract

Generally, someone who feels sick in his body wants to know his actual health condition by visiting a doctor at a hospital or other health service center for a medical examination. The doctor will ask about the symptoms experienced by the patient and sometimes examine several parts of the body to get important information before he diagnoses the patient's health condition. Theoretically, based on research developments in the medical field, changes in conditions (related to color, texture, and shape) on fingernails or toenails indicate changes in the health condition of a person's body. When someone has a health problem, the body's nerves will send signals to the fingernail or toenail area, and then the physical condition of the nail changes color, texture, and shape. These changes occur slowly, according to the condition of a person's body. Each type of health disorder or disease in the body will produce unique nail changes. Visually, the physical changes of the nails are often not very visible, but if you look closely, these changes do occur. Our research proposes an intelligent system (an artificial intelligence-based software application) to automatically diagnose body health conditions using photos of fingernails. The analysis process is carried out on the nail image to find out whether someone has health problems or not. The system for detecting body health conditions automatically using photos of nails produced in our research has a relatively good performance, namely an accuracy of 86.45%, a precision of 0.78, a recall of 1.0, and an f1 score of 0.88.
ANALISIS MANAJEMEN INSIDEN KEAMANAN INFORMASI MENGGUNAKAN STANDAR ISO 27002:2013 (STUDI KASUS: DINAS KOMUNIKASI DAN INFORMATIKA PROVINSI JAWA TIMUR) Muhammad Muharrom Al Haromainy; Annisa Dwi Puspitarini; Budi Nugroho
Jurnal Ilmiah Komputer Terapan dan Informasi Vol. 2 No. 1 (2023): Vol. 2 No. 1: JIKTI - April 2023
Publisher : Program Studi D-III Teknologi Informasi Politeknik 'Aisyiyah Pontianak

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

Abstract

Manajemen insiden keamanan informasi merupakan tindak pengelolaan data yang perlu dilakukan oleh instansi pemerintahan untuk menjaga keamanan dan konsistensi atas validnya ketersediaan informasi. Berkembangnya teknologi menjadikan instansi pemerintahan juga melakukan pelayanan dengan memanfaatkan teknologi digital dan berusaha untuk menerapkan e-government yang menjadikan risiko insiden keamanan informasi semakin meningkat. Kejadian kejahatan di bidang keamanan informasi yang terkait dapat berupa penyerangan keamanan, pencurian data pada perangkat lunak yang dapat dilakukan dengan memanfaatkan media email, serta serangan hacker atas beberapa website instansi pemerintah dengan domain go.id. Beberapa penelitian terdahulu telah dilakukan untuk meningkatkan manajemen insiden keamanan informasi pada berbagai instansi pemerintahan yang bergerak di bidang teknologi dan informasi. Kerangka kerja atau framework yang digunakan dalam melakukan audit tersebut beragam dengan tingkat standar yang berbeda, seperti COBIT, ISO 27001, ISO 27002, dan Indeks KAMI. Standar ISO 27002 dinilai sangat efektif dalam menganalisis insiden keamanan informasi karena merupakan pengembangan dan penyempurnaan dari standar ISO 27001 yang berfokus pada penerapan, pemeliharaan, dan perbaikan manajemen keamanan informasi untuk meningkatkan kualitas sistem keamanan dan mengurangi risiko terjadinya pencurian data. Pada penelitian ini dilakukan analisis manajemen insiden keamanan informasi menggunakan standar ISO 27002:2013 dengan fokus kontrol Klausul 16 yaitu Manajemen Insiden Keamanan Informasi. Hasil penelitian yang didapat adalah penerapan manajemen insiden keamanan informasi pada Dinas Komunikasi dan Informatika Provinsi Jawa Timur berada pada level 4 dengan pemberian rekomendasi yang berfokus pada kontrol dengan nilai kematangan rendah.
ABMAS PIKAT 2016 UPN “VETERAN JAWA TIMUR – PERBANDINGAN IMPLEMENTASI APLIKASI SEKOLAH BERBASIS KUSTOM DENGAN BERBASIS CMS DI SMP AL FALAH AS SALAM TROPODO WARU SIDOARJO Rizki Parlika; Budi Nugroho
NJCA (Nusantara Journal of Computers and Its Applications) Vol 1, No 2 (2016): Desember 2016
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v1i2.13

Abstract

Dalam Kegiatan Pengabdian Kepada Masyarakat pada Skim PIKAT tahun 2016 yang diselenggarakan oleh LPPM UPN “Veteran” Jawa Timur, Kami mendapat kepercayaan untuk menjadi penyuluh di SMP AL Falah Assalam Waru Tropodo Sidoarjo. Di makalah ini kami menyajikan berbagai kegiatan yang telah kami selenggarakan baik yang memerlukan pendampingan maupun yang memerlukan Pelatihan / Workshop. Awalnya kami membangunkan dua aplikasi untuk sekolah melalui studi kasus yang diberikan Sekolah kepada mahasiswa kami untuk dijadikan sebagai judul tugas akhir. Hingga saat implementasi di sekolah, terlihat para Guru dan pegawai sangat antusias namun memerlukan waktu yang lebih untuk mempelajari dan memahami tutorial penggunaan Aplikasi yang telah kami berikan. Untuk itu kami memberikan pendampingan dengan membuat beberapa tutorial baik dalam bentuk PDF maupun dalam bentuk Video. Tak hanya itu kami pun mengajarkan kepada Para Guru dan Pegawai bagaimana membangun Web Profile berbasis CMS Joomla dan membangun serta mengelola Elearning berbasis CMS Dokeos. Hasilnya dengan mengikuti tutorial yang kami sediakan setelah kami training selama 2 pertemuan Para Guru dan Pegawai dapat mengimplementasikan semua aplikasi diatas untuk memperlengkap sarana administrasi dalam kegiatan belajar dan mengajar di sekolah.
Performance of the CNN Method for Identifying Health Conditions Based on Nail Images Budi Nugroho; Retno Mumpuni; M. Syahrul Munir
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.33106

Abstract

Generally, someone who feels sick in his body wants to know his actual health condition by visiting a doctor at a hospital or other health service center for a medical examination. The doctor will ask about the symptoms experienced by the patient and sometimes examine several parts of the body to get important information before he diagnoses the patient's health condition. Theoretically, based on research developments in the medical field, changes in conditions (related to color, texture, and shape) on fingernails or toenails indicate changes in the health condition of a person's body. When someone has a health problem, the body's nerves will send signals to the fingernail or toenail area, and then the physical condition of the nail changes color, texture, and shape. These changes occur slowly, according to the condition of a person's body. Each type of health disorder or disease in the body will produce unique nail changes. Visually, the physical changes of the nails are often not very visible, but if you look closely, these changes do occur. Our research proposes an intelligent system (an artificial intelligence-based software application) to automatically diagnose body health conditions using photos of fingernails. The analysis process is carried out on the nail image to find out whether someone has health problems or not. The system for detecting body health conditions automatically using photos of nails produced in our research has a relatively good performance, namely an accuracy of 86.45%, a precision of 0.78, a recall of 1.0, and an f1 score of 0.88.
Design of a Location-Based Monitoring System for Agricultural Extension Officers at the Department of Food Security and Agriculture of Bojonegoro District Using the Waterfall Development Method and Hybrid Application Fawwaz Ali Akbar; Budi Nugroho; Annisaa Sri Indrawanti
Jurnal Teknologi dan Manajemen Vol 5, No 1 (2024): January
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2024.v5i1.5294

Abstract

The Department of Food Security and Agriculture (DKPP) of Bojonegoro District is a government agency at the district level that focuses on food security and agriculture. The main objective of this department is to enhance the production of food crops, horticulture, and plantations through the improvement of human resources and agricultural infrastructure. DKPP Bojonegoro has undertaken various initiatives to improve the quality and quantity of agricultural products. One of these initiatives involves deploying extension officers to provide guidance and support to farmers in the field, both those formally affiliated with Farmer Groups (POKTAN) and individual farmers. In practice, each extension officer is assigned to a district or the area of a farmer group that requires assistance, with assignments subject to change and flexibility based on the needs of DKPP Bojonegoro. However, the challenge lies in DKPP's difficulty in ensuring that the extension officers are effectively carrying out their duties in the field. The monitoring function performed so far relies solely on reports submitted by the extension officers, a method that may lack validity in verifying whether the officers are performing their tasks well in the field. In response to this issue, the proposed solution in this research is a Location-Based Monitoring System for agricultural extension officers. The goal is to facilitate DKPP in monitoring the presence of extension officers in designated areas and to automatically manage attendance when assigning officers to a farmer group or district.
Weighted Moving Average Berbasis Variasi Window untuk Optimasi Persediaan dan Reorder Point Fiber Optik Ridho Fajar Fahturohman; Budi Nugroho; Eva Yulia Puspaningrum
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 2 (2026): April 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i2.3592

Abstract

Poor inventory management is a primary challenge for telecommunications service providers. This study implements the weighted moving average (WMA) algorithm with window size variations to forecast demand for kabel drop core and Optical Network Terminal (ONT) at Fibertrust Madiun, integrating it with Safety Stock (SS) and Reorder Point (ROP) calculations. The data covers 63 kabel drop core transactions and 112 ONT transactions during January–December 2025, with coefficients of variation of 0.384 and 0.567 respectively. Three window sizes (3, 4, and 5 periods) were tested using MAD, MSE, and MAPE. Window 5 achieved the best accuracy with MAPE of 27.11% for kabel drop core and 47.57% for ONT, both in the sufficient category. A 95% service level provides the optimal balance between holding cost and stockout risk. ROP implementation has the potential to reduce stockout incidents by 71–79%, from 28 to 6–8 incidents per year.Keywords: Weighted moving average; Reorder point; Safety stock; Inventory management; StockoutAbstrakPengelolaan persediaan yang tidak tertata dengan baik menjadi tantangan utama perusahaan penyedia layanan telekomunikasi. Penelitian ini mengimplementasikan algoritma weighted moving average (WMA) dengan variasi ukuran window untuk meramalkan permintaan kabel drop core dan Optical Network Terminal (ONT) di Fibertrust Madiun, serta mengintegrasikannya dengan perhitungan Safety Stock (SS) dan Reorder Point (ROP). Data mencakup 63 transaksi kabel drop core dan 112 transaksi ONT selama Januari-Desember 2025, dengan koefisien variasi masing-masing 0,384 dan 0,567. Tiga variasi ukuran window (3, 4, dan 5 periode) diuji menggunakan metrik MAD, MSE, dan MAPE. Window 5 periode mencatat akurasi terbaik dengan MAPE 27,11% untuk kabel drop core dan 47,57% untuk ONT, keduanya berkategori cukup. Service level 95% memberikan keseimbangan terbaik antara biaya penyimpanan dan risiko kehabisan stok (stockout). Penerapan ROP berpotensi menekan insiden stockout hingga 71-79%, dari 28 insiden menjadi 6-8 insiden per tahun.