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All Journal Jurnal Teknologi dan Manajemen Informatika SMATIKA Journal of Information Technology and Computer Science (JOINTECS) Jurnal SOLMA Jurnal Masyarakat Merdeka (JMM) Community Empowerment JAPI: Jurnal Akses Pengabdian Indonesia Journal Innovations Computer Science Smatika Jurnal : STIKI Informatika Jurnal Journix: Journal of Informatics and Computing
Kukuh Yudhistiro, Kukuh
Faculty Of Technology Information, University Of Merdeka Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Restorasi Citra Optical Character Recognition Dengan Algoritma Recurrent Hopfield Yudhistiro, Kukuh
SMATIKA JURNAL Vol 8 No 01 (2018): SMATIKA Jurnal STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.565 KB)

Abstract

Pada proses optical character recognition seringkali terjadi image yang corrupt sehingga hasil pengenalan karakter tidak sesuai dengan yang diinginkan atau bahkan tidak menghasilkan keluaran. Paper ini akan membahas proses restorasi citra menggunakan algoritma Hopfield menggunakan pemrograman Visual Basic 2010. Unit inputan yang akan diuji adalah pola karakter “+”, “x”, dan “o”. Semua pola masukan tersebut disimpan dalam bentuk vektor berdimensi 3x3 dengan nilai 1 atau -1. Tujuan akhir dari proses restorasi adalah memperbaiki citra yang diberikan. Maka perlu dataset vektor untuk ujicoba dimana vektor pola untuk ujicoba tersebut merupakan pola karakter yang mirip dengan pola karakter “+”, “x”, dan “o”. Sedangkan hasil restorasi yang diharapkan adalah program mampu memperbaiki vektor pola ujicoba dan menampilkan pola mana yang mirip dengannya.
Pemanfaatan Neural Network Perceptron pada Pengenalan Pola Karakter Yudhistiro, Kukuh
SMATIKA JURNAL Vol 7 No 02 (2017): Smatika Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1328.771 KB)

Abstract

Various methods on artificial neural network has been applied to identify patterns of characters one using Perceptron algorithm. Perceptron algorithm can be used to identify patterns of characters with various input patterns that resemble letters of the alphabet so perceptron can be trained to recognize it. Perceptron algorithm is an algorithm in a neural network that includes supervised neural network.
Pemanfaatan Neural Network Perceptron pada Pengenalan Pola Karakter Kukuh Yudhistiro
SMATIKA JURNAL Vol 7 No 02 (2017): Smatika Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1328.771 KB) | DOI: 10.32664/smatika.v7i02.153

Abstract

Various methods on artificial neural network has been applied to identify patterns of characters one using Perceptron algorithm. Perceptron algorithm can be used to identify patterns of characters with various input patterns that resemble letters of the alphabet so perceptron can be trained to recognize it. Perceptron algorithm is an algorithm in a neural network that includes supervised neural network.
Restorasi Citra Optical Character Recognition Dengan Algoritma Recurrent Hopfield Kukuh Yudhistiro
SMATIKA JURNAL Vol 8 No 01 (2018): SMATIKA Jurnal STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.565 KB) | DOI: 10.32664/smatika.v8i01.195

Abstract

Pada proses optical character recognition seringkali terjadi image yang corrupt sehingga hasil pengenalan karakter tidak sesuai dengan yang diinginkan atau bahkan tidak menghasilkan keluaran. Paper ini akan membahas proses restorasi citra menggunakan algoritma Hopfield menggunakan pemrograman Visual Basic 2010. Unit inputan yang akan diuji adalah pola karakter “+”, “x”, dan “o”. Semua pola masukan tersebut disimpan dalam bentuk vektor berdimensi 3x3 dengan nilai 1 atau -1. Tujuan akhir dari proses restorasi adalah memperbaiki citra yang diberikan. Maka perlu dataset vektor untuk ujicoba dimana vektor pola untuk ujicoba tersebut merupakan pola karakter yang mirip dengan pola karakter “+”, “x”, dan “o”. Sedangkan hasil restorasi yang diharapkan adalah program mampu memperbaiki vektor pola ujicoba dan menampilkan pola mana yang mirip dengannya.
Sistem Inferensi Fuzzy Mamdani Untuk Penunjang Keputusan Penentuan Potensi Desa Di Kabupaten Malang Kukuh Yudhistiro; Heris Pamuntjar
SMATIKA JURNAL Vol 9 No 01 (2019): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (590.911 KB) | DOI: 10.32664/smatika.v9i01.244

Abstract

The profiles of Kelurahan are the comprehensive of data collection that can accommodate the information needs for the utilization of their regional data. However, there are still obstacles to data collection and information processing needed to produce the potentioal value of a village. The constraints are such as the data distribution, data collecting, data acquisition, human resources as well as manual data collection and the unavailability of automation systems and databases that function as backups and evaluations. Therefore, to solve these problems, it is necessary to build a system that can help the implementing parties and decision makers in processing data in determining village potential. In this case the use of the mamdani fuzzy inference method as a decision-making will be the basis of decision maker for a village/Kelurahan’s profile assessment system. In this paper, processing profile survey data for all villages (390 villages) in Malang Regency where the assessment criteria will be used as fuzzy input variables, then the output of the processing is used as a dataset for the formation of fuzzy rules in the system created, will produce assessment recommendations the potential of the village that matches the conditions or criteria determined by the Malang Regency Government. From total of 390 villages, 300 will be used as data and 90 other villages to prove the accuracy of the recommendations from assessing village potential with collected datasets. The accuracy achieved by using this system reached 90%. The cause that affects accuracy is the diversity of the village conditions.
Implementasi Blackbox Testing Pada Aplikasi Real-Time Thermal Video Detection (Studi Kasus Deteksi Demam/Covid-19) Kukuh Yudhistiro; Aditya Galih Sulaksono; Aditya Hidayat Pratama
SMATIKA JURNAL Vol 11 No 01 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i01.561

Abstract

During the emergence of the Covid-19 pandemic whose vaccines have not been spread evenly, all countries in the world, especially Indonesia have taken several preventive steps to prevent the spread of the virus. One of the initial actions is to detect every person entering and leaving the country through airports or land transportation. This early action was carried out by detecting the body temperature of residents passing in and out of locations such as airports and train stations. The fever detection is generally carried out using a thermal gun in the form of an infrared gun aimed at individuals who pass the inspection. This research discusses a series of tools consisting of a camera with a thermal sensor where the captured data will be processed through software that displays a histogram of the temperature from the chest to the person's head in real time. Each capture result is used as a dataset that can be used for tracing the needs of visitors to public places. In this research, we will discuss functional testing (blackbox) of the application of thermal video detection in case studies of fever detection.
Co-Authors Aditya Galih Sulaksono Aditya Galih Sulaksono Aditya Hidayat Pratama Aditya Hidayat Pratama Bambang Nurdewanto Devita Maulina Putri, Devita Maulina Dwi Arman Prasetya Elta Sonalitha Elta Sonalitha Sonalitha Gina Oktavia Heris Pamuntjar Mirza Raziq Akbar, Muhammad Muhammad Ifan Ali Mustofa Mustofa, Muhammad Ifan Ali Nanda, Hanjar Ikrima Pramaditya, Himawan Pratama, Aditya Hidayat Putra, Firnanda Al Islama Achyunda Rofiqul Muslikh, Ahmad Roikhah, Elfiatur Santi, Fitriana Sheila Febriani Putri Silalahi, Elfrida BR. Soelaksono, Aditya Galih Sumartono Sumartono Sumartono Sutriawan Sutriawan Tyas, Eva Wahyuning Zumhur Alamin