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All Journal Jurnal Ilmiah Kursor Proceeding International Conference on Information Technology and Business Jurnal Sistem Informasi dan Bisnis Cerdas Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi bit-Tech Jifosi TIN: TERAPAN INFORMATIKA NUSANTARA Nusantara Science and Technology Proceedings Bulletin of Computer Science Research Jurnal Teknologi dan Manajemen International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Informatika Teknologi dan Sains (Jinteks) JIKTI : Jurnal Ilmiah Komputer Terapan dan Informasi Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Nusantara Journal of Computers and its Applications
Nugroho, Budi
Department Of Informatics Engineering, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Surabaya, East Java
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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APLIKASI MONITORING BERAT MASSA KIMIA BERBASIS ARDUINO MENGGUNAKAN MODEL EXTREME PROGRAMMING Sugiarto, Sugiarto; Nugroho, Budi; Nassrullah, Ahmad Adi
Jurnal Sistem Informasi dan Bisnis Cerdas Vol 12, No 1 (2019): JURNAL SISTEM INFORMASI DAN BISNIS CERDAS (SIBC) FEBRUARI 2019
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/sibc.v12i1.1565

Abstract

Sebuah Perusahan XYZ sebagai salah satu perusahaan agribisnis sebagai produsen pakan ternak di Indonesia. Untuk menunjang produksi tersebut divisi atau bagian departemen regional laboratory akan melakukan proses produksi dan quality control, diaman tugasnya untuk melakukan percobaan berat pada suatu sample bahan kimia, yang nantinya bahan tersebut akan dibagi menjadi 2 (dua) yaitu barang jadi dan bahan baku. Kondisi saat ini sering melakukan kesalahan dalam mencatat hasil timbangan diantara bahan tersebut, sehingga harus melakukan proses pengulangan pekerjaan kembali, pada penelitian ini dilakukan pembuatan aplikasi monitoring untuk mencatat berat massa dari bahan-bahan kimia yang akan diproduksi untuk proses bahan jadi. Mikrokontroller Arduino ini akan dilakukan koneksi ke mesin penimbang dengan kabel RS32, sehingga penyajian dan hasil laporan dari semua kegiatan penimbangan itu akan tepat dan tercatat untuk jangka yang panjang.  DOI : https://doi.org/10.33005/sibc.v12i1.1565
NEAR-DUPLICATE REAL-LIFE FACE IMAGE Intan Yuniar Purbasari; Budi Nugroho
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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Abstract

NEAR-DUPLICATE REAL-LIFE FACE IMAGE a Intan Yuniar Purbasari, bBudi Nugroho a,bTeknik Informatika, Fakultas Teknologi Industri, UPN “Veteran” Jawa Timur, Indonesia Jl. Raya Rungkut Madya, Gunung Anyar, Surabaya 60294 E-Mail: intan.yuniar@gmail.com Abstrak Content-based Image Retrieval (CBIR) merupakan metode temu kembali citra berdasarkan karakteristik numerik pada citra. Pencarian similaritas yang efisien pada ruang dimensi ultra-high telah diajukan menggunakan two-tier inverted file dan Local Derivative Patterns (LDP) sebagai metode ekstraksi fitur dengan tingkat keakuratan dan kinerja yang tinggi pada data set citra wajah eksperimental. Namun demikian, citra real-life memiliki ukuran dan resolusi yang berbeda serta noise bawaan. Masih belum diketahui apakah LDP dapat menunjukkan hasil yang sama memuaskan jika diberikan data set citra real-life. Penelitian ini merancang dan membangun search engine citra wajah untuk mencari citra nyaris duplikat pada citra real-life menggunakan metode LDP untuk ekstraksi fitur dan two-tier inverted file untuk pengindeks-an multidimensi. Sebuah metode ekpansi state juga diperkenalkan untuk lebih menangkap banyak detil dari histogram citra dengan mempertimbangkan informasi piksel tetangga. Eksperimen ini dilakukan pada 8083 citra wajah real-life dari berbagai ukuran antara 20x20 dan 80x80. Data set berisi kopi duplikat dari citra wajah setelah melalui beberapa proses transformasi. Hasil pencarian mengembalikan 20 citra yang memiliki kemiripan paling tinggi dengan citra query dan memiliki nilai presisi 0.75 atau 75%. Kata kunci: Content-Based Image Retrieval, Local Derivative Pattern, Two-tier Inverted File, Real-life Face Image. Abstract Content-based image retrieval (CBIR) is an image retrieval method based on the analysis of numerical characteristics of the image at the absence of text information. An efficient similarity search in ultra-high dimensional space has been proposed using two-tier inverted file and Local Derivative Patterns (LDP) as feature extraction method with high accuracy and high performance on experimental face image data sets. However, real-life images have different size, resolution and a potential noise. It is unknown whether LDP would show the same satisfactory result given real-life image data sets. This research designed and developed a face search engine to find near-duplicate face in real life images using LDP method to extract image features and two-tier inverted file for multidimensional indexing process. A state expansion method was also introduced to capture more detailed description of image histogram by considering neighbor information. The experiment was performed on 8,083 reallife face images of various sizes between 20x20 to 80x80. The data set contained duplicate copies of face images with some transformation processes. The search result returned top 20 images which had the most similarity with the query images and had an average precision rate of 0.75 or 75%. Keywords: Content-Based Image Retrieval, Local Derivative Pattern, Two-tier Inverted File, Real-life Face Image
DEEP LEARNING-BASED OBJECT RECOGNITION ROBOT CONTROL VIA WEB AND MOBILE USING AN INTERNET OF THINGS (IoT) CONNECTION Basuki Rahmat; Budi Nugroho
Jurnal Ilmiah Kursor Vol 10 No 4 (2020)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i4.242

Abstract

The paper presents the intelligent surveillance robotic control techniques via web and mobile via an Internet of Things (IoT) connection. The robot is equipped with a Kinect Xbox 360 camera and a Deep Learning algorithm for recognizing objects in front of it. The Deep Learning algorithm used is OpenCV's Deep Neural Network (DNN). The intelligent surveillance robot in this study was named BNU 4.0. The brain controlling this robot is the NodeMCU V3 microcontroller. Electronic board based on the ESP8266 chip. With this chip, NodeMCU V3 can connect to the cloud Internet of Things (IoT). Cloud IoT used in this research is cloudmqtt (https://www.cloudmqtt.com). With the Arduino program embedded in the NodeMCU V3 microcontroller, it can then run the robot control program via web and mobile. The mobile robot control program uses the Android MQTT IoT Application Panel.
PREPROCESSING WITH SYMMETRICAL FACE AND GAMMA CORRECTION FOR FACE RECOGNITION UNDER VARYING ILLUMINATION WITH ROBUST REGRESSION CLASSIFICATION Eva Y Puspaningrum; Budi Nugroho; Andri Istifariyanto
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.142

Abstract

Facial recognition is one of the most popular issues in the field of pattern recognition.Face recognition with uncontrolled lighting conditions is more significant than thephysical characteristics of individual faces. Uncontrolled lighting from the right and leftcan affect the face image. A lot of research on facial recognition, but little attention givento the face image is symmetrical object. Several studies to explore and exploit thesymmetrical properties of the face for face recognition were performed. In this paper, wepropose a pre-processing method to solve one of the common problems in facial imageswith varying illumination. We utilize the symmetric property of the face then performedgamma correction then classified using Robust Regression. The results of this experimentgot an average accuracy of 94.31% and the proposed technique improves recognitionaccuracy especially in images with extreme lighting conditions using gamma correctionparameters γ = 0.3.
Development of Laboratory as the Center of Mikrotik Certification Preparation Budi Nugroho; Henni Endah Wahanani; Eva Yulia Puspaningrum
Nusantara Science and Technology Proceedings International Seminar of Research Month Science and Technology in Publication, Implementation and Co
Publisher : Future Science

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Abstract

One of the important competencies in the field of Information and Communication Technology (ICT) is Computer Network (which includes the development of Information Technology infrastructure and computer network security). One part of competence in the Computer Network scope is the use of Mikrotik equipment that is needed in the practical field. Currently, many agencies and industries whose computer network infrastructure use Mikrotik-based devices. The development of activity program that leads students to the preparation of this competency is clearly necessary. With regard to the competence of Mikrotik's own expertise, the existence of a Mikrotik certificate becomes proof that someone has mastered this competency. To get this certificate, of course, must follow the Mikrotik Certification program which cost is relatively expensive. In addition, this certification program is quite difficult to pass. So anyone who wants to follow this certification needs preparation adequately. The grant program of UPN "Veteran" of East Java (JARIT) which has been implemented aims to direct the Laboratory at the Faculty of Computer Science not only for the activities of the Practicum course, but also as the Center for the preparation of students in improving their competence, especially those related to the Professional Certification, Mikrotik devices. The hope when graduating students will not only have an undergraduate degree but also professional competence through Certification.
Development of Academic Transcript Management Information System Budi Nugroho; Yisti Vita Via
Nusantara Science and Technology Proceedings International Seminar of Research Month Science and Technology in Publication, Implementation and Co
Publisher : Future Science

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Abstract

The academic transcripts management system in UPN "Veteran" of East Java is currently arranged based on the courses that have been taken by students who are sorted alphabetically. The problem is there is no information about the courses in each semester, so the academic transcript can not be used to know the progress of student learning. It also can not know whether there is a course that has not been taken in the previous semesters, because it can affect the process of taking courses in the next semester related to the rules of the prerequisite course. The system also lists all the courses that have been taken by the student although re-taking the course. Thus, grade point average/GPA on the Transcript is actually less valid, since the calculation of GPA should only be based on the course with the best score (when the student repeats the same course). In addition, how to know which courses have graduated and not graduated must be done through manual examination. These problems are currently done manually, which is certainly very inefficient. In this study, the application system was developed to manage the Academic Transcripts (Information System of Academic Transcripts Management). In this system, courses of old curriculum will be converted to new curriculum courses. Transcript only include graduated courses, classified per semester on the current Curriculum. The system is also designed to provide information on what courses have been taken and which have not. With this new system, the management of Academic Transcripts can be done more effectively and efficiently, thereby reducing errors and abuse intentionally or unintentionally. This certainly supports the performance of academic supervision by leaders at the level of study program, faculty, and university.
Class Attendance System Using The Multiple Face Recognition Technique (Case Study: UPN Budi Nugroho; Wahyu S.J. Saputra; Eva Yulia Puspaningrum
Nusantara Science and Technology Proceedings 4th International Seminar of Research Month
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2019.0416

Abstract

Currently, Face Recognition Technology has been widely implemented in various fields of life. One of them is to verify someone's identity. In this research, an application system has been developed related to the process of recording student attendance in a lecture class, where student attendance is obtained from faces data taken from image acquisition in a classroom. Automatically, face recognition results are inputed into the presence system. In this system, the lecturer can verify the results of the automatic attendance made by the system. This verification process is needed because the face recognition process carried out by the system cannot reach 100% accuracy. So, the student attendance record in class can be valid.
Android-Based Area Mapping in the Village of Kampunganyar - Banyuwangi Mohammad Idhom; Budi Nugroho; Eva Yulia Puspaningrum
Nusantara Science and Technology Proceedings 4th International Seminar of Research Month
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2019.0420

Abstract

Kampunganyar is one of the villages located in Glagah District, Banyuwangi Regency. In this village the internet is connected smoothly that can be accessed by anyone. So it has called "Smart Kampung". This village has a lot of potential including tourism, plantations, agriculture, Micro Small and Medium Enterprises or known as UMKM. Many people do not know about the potential of this village. Therefore, in community service activities we built a mapping area system in Kampunganyar village that covers all potential areas with Android-based. In this system there is all information about the potential of the village in each region and its location. So that the general public can access the information through mobile devices freely. The public can find out what the tourism potential is and the location and photos of the tour. In addition, there are data on plantations and agriculture in several locations that can be known from this system. This system is very useful for marketing the potential of villages in the village of Kampunganyar so that it can be known by the general public.
Deep Learning Programming Using Python Case Study: Earthquake Prediction System Basuki Rahmat; Budi Nugroho; Raka Adjie Kurniawan
Nusantara Science and Technology Proceedings 5th International Seminar of Research Month 2020
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0962

Abstract

Python programming language is reliable enough to solve Machine Learning and Deep Learning problems. This paper describes how to solve earthquake prediction problems using the Python programming language that runs in the Jupyter Notebook environment. With the python library used, namely Keras. Deep Learning programming for this earthquake prediction system is the following programming sequence: data preparation, Keras model determination, Keras model compilation, Keras model adjustment, Keras model evaluation, and prediction system creation. From the test results of the earthquake prediction system using the python programming language, the results are quite satisfying. The simulation results show the results of the Deep Learning training process for the prediction system of b-value as an earthquake precursor with several iterations of 10,000 times, the results of MSE, RMSE, MAPE, and the percentage of successful predictions are 5.43 x 10-5; 0.00737; 0.80897 and 99.19% respectively. The results of the Deep Learning testing process for the b-value prediction system as an earthquake precursor which was carried out during the five tests obtained an average of MSE, RMSE, MAPE and the percentage of successful predictions was 0.03886; 0.19003; 23.96459, and 77.75%.
Implementation of Student Management System at TK Al-Wahyu Surabaya Budi Nugroho; Eka Prakarsa Mandyartha; M. Syahrul Munir
Nusantara Science and Technology Proceedings International Seminar of Research Month 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2466

Abstract

The School of TK Al Wahyu Surabaya has difficulties in managing student data (especially students registered in the previous few years), so the school management only focuses on the list of students in the current academic year. Data management manually takes a long time, the accuracy of the people who handle it, and is very susceptible to human error. Based on the field survey that has been carried out, school managers have difficulty managing data recorded on papers and computer files, especially when the school has to send report data to the relevant City Government Education Office. Through this community service activity (PIHAT Program), the Proposing Team offers a solution to these problems by implementing the Student Management System at TK Al-Wahyu Surabaya. In this system, student data management is carried out using web-based software to facilitate data gathering, automatic data retrieval, and student data mapping. The activity steps needed to realize the proposed solution include system requirements analysis, system customization, server & network infrastructure preparation, system installation, data entry to the system, training and assistance for system operation, evaluation of problems that arise during system operation, improvement of the system to overcome obstacles that arise and ensure the system can run according to plan, as well as final evaluation to determine the effectiveness of system implementation. Based on the activities that have been carried out, the installation of the application system and the process of assisting school administrators and admins for the operation of the system have been carried out. School administrators are very enthusiastic about implementing this system. This system supports data management and reporting to the City Government Education Office. For TK Al Wahyu Surabaya, the application of this system is a new breakthrough for schools, which have been accustomed to manual work, then use software-based methods that are faster and more effective.
Co-Authors Akbar, Fawwaz Ali Andri Istifariyanto Anggraini Puspita Sari Annisa Dwi Puspitarini annisaa sri indrawanti annisaa sri indrawanti Anny Yuniarti Basuki Rahmat Caritta Elizabeth Chrystya Aji Putra Eka Maurita Maurita Eva Y Puspaningrum Eva Y Puspaningrum Eva Yulia Puspaningrum Fetty Tri Anggraeni Firza Prima A Gilang Rahmadhan Armijantoro Henni Endah Wahanani Intan Yuniar Purbasari Mandyartha, Eka Prakarsa Maulana, Hendra Mohammad Idhom Muhammad Muharrom Al Haromainy Nassrullah, Ahmad Adi Parlika, Rizky Radical Rakhman Wahid Raka Adjie Kurniawan Retno Mumpuni Ridho Fajar Fahturohman Rino Zakharia Rizki Parlika Salsa Pramudhita Agustiardani Shella Christanti Siti Sri Wahyuni Sugiarto, Sugiarto Syahrul Munir Wahyu S.J. Saputra Wariyanti Nugroho Putri Yisti Vita Via Yisti Vita Via