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Retno Wahyusari
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Jurnal Ilmiah Informatika dan Komputer
Published by Sekolah Tinggi Teknologi Ronggolawe Cepu
ISSN : -     EISSN : 29621399     DOI : https://doi.org/10.51901/jiifkom.v3i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering
JIIFKOM: Journal of Scientific Informatics and Computers is a journal that contains scientific papers from researchers, academics, and practitioners, in the form of research results, literature reviews, and/or other forms of scientific writing, which specifically examines the field of Computer Science, among others as follows : Computer Science: Artificial Intelligence, Machine Learning, Data Mining, Expert System, Decision Support System Informatics: Web Programming, Mobile Computing, Computer Networks, Making Information Systems, Database Systems, Security Systems
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol 2 No 2 (2023): JIIFKOM" : 5 Documents clear
Web Scraping Untuk Pengambilan Data Transaksi Penjualan Pada Markeplace Toko Online Jogjabatik Lahmi, Sulahmi; Wardani, Setia; Fairuzabadi, Muhammad
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.254

Abstract

The online shop Jogjabatik is located at Perum Sidorejo Ngestiharjo, Kasihan, Bantul, which was founded by Mr. Dwi Pudji since 2006 which sells various kinds of batik clothes, traditional clothes, souvenirs and so on. The strategy of having more than one marketplace user makes it overwhelming for employees in the process of managing and preparing sales reports to be reported to the owner. Therefore, the authors designed a system with the help of web scraping techniques on every sale that has the ability to support the formation of an information system capable of absorbing data, presenting data systematically and quickly, so that Jogjabatik online store employees can retrieve detailed data from a web completely. This system is built with PHP programming language with MySQL database. Methods of data collection using the interview method. This Web Scraping system provides information on product sales reports at the Jogjabatik online store by utilizing web scraping techniques which are implemented on 3 marketplace accounts consisting of Lazada, Shopee and Tokopedia to assist Jogjabatik employees in making sales reports.
Aplikasi Presensi Online Menggunakan Verifikasi Foto Selfie Dan Ip Server Berbasis Android Wahyuni, Tri; Putri, Puji Handayani; Wardani, Setia
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.291

Abstract

Era globalisasi saat ini menuntut kita untuk berproses lebih cepat salah satunya adalah pemanfaatan teknologi informasi. Presensi kehadiran menjadi suatu hal yang sangat krusial bagi sebuah instansi untuk dapat memperbaiki kinerja. Universitas PGRI Yogyakarta saat ini masih menggunakan presensi melalui fingerprint yang nantinya dosen dan staff melakukan absensi masuk dan absensi pulang. Untuk monitoring kehadirannya nanti ada laporan absen perbulannya.Kendala yang dialami oleh instansi ini ialah Kurangnya keakuratan data yang masuk ke sistem absensi dan jumlah data pada alat fingerprint masih dibatasi. Bahasa pemrograman yang digunakan pada penelitian adalah php dan database Mysql. Tujuan dari penelitian ini adalah untuk merancang aplikasi yang mampu melakukan presensi secara online
Klasifikasi Penyakit Daun Jagung Menggunakan Lightweight Convolutional Neural Network Hermawan, Andri Lesmana
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.347

Abstract

Deep Neural Networks have achieved great success in many tasks and research especially in pattern recognition. However, high computing and large memory requirements prevent them from being applied to limited devices and require large costs. And Imbalance of data in Machine Learning refers to the unequal distribution of classes in a data set. This problem is often encountered in classification tasks where the distribution of classes within a given data set is not uniform. Given these problems, the researchers proposed the Light Neural Network method and added the Resampling method to Corn Leaf Disease data, to ease the computational process and balance the data. Researchers use several methods in machine learning which involve the use of knowledge that has been learned by existing models (Transfer Learning), including: MobileNet, EfficientNetB1 and Exception, as well as conducting comparisons between models. These models use the Depthwise Separable Convolution technique to reduce the number of parameters and convolution operations that need to be performed, thereby reducing the computational requirements and model complexity. The results of light neural network research and the combination of Resampling, the highest Transfer Learning model of 95% obtained from the EfficientNetB1 model than other Transfer learning models.
Perancangan Alat Pengukur Suhu Badan dan Kadar Oksigen Dalam Darah Menggunakan Mikrokontroler Wahyusari, Retno; Wibowo, Lastoni; Amrozi, M Ali
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.354

Abstract

The three symptoms of Corona that are most often experienced are general symptoms such as fever, cough and shortness of breath. Based on this, the government has made regulations to measure body temperature before entering a public space. Even though it's not really something that becomes the main determinant, we still need it for several public locations. In addition to body temperature, checking oxygen levels in the blood is also one of the important indications needed to see a person's body health. The condition is declared healthy if the body temperature is below 37o and oxygen levels are between 95-100. Devices for measuring body temperature and oxygen levels in the blood are tools that support the implementation of health protocols. Utilizers of the tool can detect early health problems based on body temperature and oxygen levels in the blood, especially the corona virus. The test results show that the tool has an accuracy rate above 90%, where the body temperature accuracy is 94.33% and the oxygen level accuracy is 98.63%. This shows that the tool can replace manufacturing tools, so this tool is suitable for use to help create a new normal era that pays attention to health protocols.
Perbandingan Perbaikan Citra Magnetic Resonance Imaging (MRI) Menggunakan Ruang Warna RGB, HSV dan YCbCr Dengan Metode Histogram Equalization dan Contrast Streching Hamzah, Fahmi Aliefuddin; Wahyusari, Retno
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.355

Abstract

Magnetic resonance imaging (MRI) images are the images most often used in the field of radiology. Some of the problems that often occur in medical images are the scanning results that have decreased quality due to noise factors. MRI images that have been printed and then entered into a computerized system will experience a decrease in quality such as the image looks blurry or dark. So it is necessary to improve image quality to create a quality image in order to make it easier for doctors to diagnose and reduce the possibility of analysis errors. Image enhancement (IE) techniques are widely applied to image processing to increase the probability of success in image analysis. Image improvement methods include Histogram Equalization (HE) and Contrast Streching (CS). One of the good images can be seen from the MSE value which is the smallest or close to zero and the highest PSNR value. The color space has an effect on image improvement and can be included in the pre-processing process including RGB, HSV, and YCbCr. Based on the 100 images tested, the results of the RGB image enhancement by 31%, 66% HSV, and 27% YCbCr were said to be successful with the Histogram equalization and contrast streching methods, so the HSV color space is superior to the RGB and YCbCr color spaces.

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