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INDONESIA
Jurnal Informatika Upgris
Published by Universitas PGRI Semarang
ISSN : 24604801     EISSN : 24776645     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics UPGRIS published since June 2015 with frequency 2 (two) times a year, ie in June and December. The editors receive scientific writings from lecturers, teachers and educational observers about the results of research, scientific studies and analysis and problem solving closely related to the field of Information Technology and Communications / Informatics.
Arjuna Subject : -
Articles 306 Documents
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Sistem Informasi Geografis Lokasi Usaha Servis Komputer dan Laptop di Kota Gorontalo Berbasis Android Siti Andini Utiarahman; Nur Oktavin Idris
Jurnal Informatika Upgris Vol 7, No 1: JUNI 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i1.8310

Abstract

Komputer dan laptop merupakan salah satu teknologi populer dan menjadi kebutuhan dasar bagi masyarakat. komputer dan laptop sangat riskan terjadi masalah dan kendala dalam pengoperasiannya sehingga pengguna umumnya mencari tempat servis untuk memperbaikinya daripada membeli baru yang harganya tergolong mahal. Namun masyarakat di kota Gorontalo masih mengalami kesulitan mencari lokasi usaha servis komputer dan laptop yang terdekat. Oleh karena itu diperlukan suatu solusi dengan teknologi SIG (Sistem Informasi Geografis). Sehingga kami melakukan observasi langsung dan wawancara ke kantor DPM-PTSP Kota Gorontalo untuk mendata usaha servis komputer dan laptop yang terdaftar dan tersebar di kota Gorontalo, serta merancang sebuah aplikasi SIG berbasis android. Metode Waterfall digunakan sebagai metode pengembangan sistem dan tools yang digunakan di perancangan ini adalah use case, diagram activity, dan diagram sequence. Untuk implementasinya menggunakan Google MAP API dan versi android 5.0. Berdasarkan hasil pengujian whitebox pada logika program menampilkan data tempat usaha servis diperoleh V(G) = 4 dan Ciclometic Complexity (CC) = 4, sehingga sistem berjalan dengan efektif dan efisien. Dengan sistem ini masyarakat dapat mengakses dengan mudah dan mengetahui lokasi usaha servis komputer dan laptop yang terdekat di kota Gorontalo melalui perangkat mobile android secara real time.
Monitoring Fasilitas Pertamanan Kota Gorontalo Berbasis Sistem Informasi Geografis Irma Surya Kumala Idris; Yasin Aril Mustofa
Jurnal Informatika Upgris Vol 7, No 1: JUNI 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i1.5858

Abstract

City Park is part of the city's green open space, its existence has the meaning of securing natural ecosystems that have a great influence on the existence and survival of the city itself. The number of city parks in the city of Gorontalo also requires little cleaning and maintenance personnel. To find out the performance of officers in the field, we need a system that is able to monitor the results of the work, making it easier for the relevant offices to control the conditions, facilities and functions of the city park. This research is intended to build a geographic information system that will be used for monitoring park facilities equipped with related information that is easily accessible by the local government, especially the City Planning and Landscaping Office of Gorontalo City. This study uses the programming language PHP (PHP: Hypertext Preprocessor) and MySQL database, using descriptive methods, then implement this design to find out and measure the level of ease, speed of information, and accuracy of information. The results of the study based on the data obtained were then tested using the White Box Testing method and Bases Path Testing. From the data obtained then a flowgraph design was made. Flowgraph that is tested is the process of finding a location of a garden. From the results of the calculation of the White Box Testing and Bases Path Testing test methods, the results of the calculation results obtained that have met the requirements in terms of software feasibility. Based on the results of testing with the White Box Testing, and Base Path Testing method above, it can be concluded that true system logic can produce a system that is effective and efficiently logically, and is expected to facilitate the processing of said data.
Rancang Bangun Pendeteksi Kualitas Beras Menggunakan Metode K-Nearest Neighbor Berbasis Android Ardi, Mitra Saputra; Abdullah, Abdullah; Usman, Usman
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.8467

Abstract

Beras merupakan kebutuhan yang sangat penting bagi penduduk di kawasan Asia termasuk Indonesia, begitu juga yang terjadi pada Kabupaten Indragiri Hilir. Namun demikian, harga beras di pasaran semakin melonjak dan banyak beredar beras yang kualitasnya kurang baik. Oleh karena itu perlu adanya standar kualitas mutu beras dipasaran. Standar pengujian kualitas biasanya terdapat dua tahap, yaitu uji laboratorium dan uji visual. Namun, pengujian secara visual selama ini masih dilakukan secara manual sehingga masih sering terjadi kesalahan karena terbatasnya penglihatan manusia dan subjektivitas penguji. Oleh sebab itu, sistem pengujian secara visual dengan citra digital dapat menjadi solusi yang efektif untuk menentukan klasifikasi dan kualitas beras yang ingin kita ketahui. Proses pengujian dapat dilihat dari nilai putih, dan nilai bersih yang diakuisisi melalui pengolahan citra digital, data yang telah diakuisisi kemudian diklasifikasi ke dalam 3 kelas yaitu kelas baik, kelas sedang dan buruk. Berdasarkan hasil evaluasi metode holdout dari 10 data eksperimen diketahui bahwa metode k-Nearest Neighbor memiliki tingkat ketelitian 85,55 % untuk k=1, 82,21 % untuk k=3 dan 85,55 % untuk k=5
A comparative evaluation for Detection Brain Tumor in MRI Image using Machine learning algorithms Kareem, Shahab; askar, shavan; Abdulkhaleq, Ibrahim; Hawezi, Roojwan Sc.
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9503

Abstract

In medical imaging, automated defect identification of defects has taken on a prominent position. Unaided prediction of tumor (brain) recognition in magnetic resonance imaging process (MRI) is vital for patient preparation. With traditional methods of identifying z is designed to reduce the burden on radiologists. One of the problems with MRI brain tumor diagnosis is the size and variation of their molecular structures. This article uses deep learning techniques (Artificial neural network ANN, Naive Bayes NB, Multi-layer Perceptron MLP ) to discover brain tumors in the MRI scans. First, the brain MRI images are run through the preprocessing steps to remove texture features. Next, these features are used to train a machine learning algorithm.
Model Average-Based Fuzzy Time Series untuk Prediksi Perkembangan Kasus Terkonfirmasi Positif COVID-19 Wuryanto, Endro Dwi; Puspita, Nella Valen Ika
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9559

Abstract

The number of positive confirmed COVID-19 cases in Indonesia continues to rise on a daily basis. A prediction model is required to examine and measure the current progression of positive verified COVID-19 instances and to anticipate these circumstances in the future. The goal of this research is to create a prediction application that uses a fuzzy time series approach as a prediction method and an average-based length algorithm as an interval length determinant. The effective interval length can have a greater impact on the prediction outcomes. The data for this study came from the COVID-19 task force's website, and it tracked the progression of positive confirmed COVID-19 cases from November 2020 to July 2021. The Mean Absolute Percentage Error (MAPE) is relatively little based on the findings of the prediction application performance. This can help the management unit make decisions by giving information and establishing policies relating to actual efforts to prepare for, plan for, prevent, and control the spread of COVID-19.
Designing Mathematics Learning Media Using Adobe Animate Application at SMKN 1 Bukittinggi Fikri, Miftahul; Musril, Hari Antoni
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9036

Abstract

To achieve the goals of education, of course, students must go through a process, namely learning by following all the series of learning processes that are expected by a teacher to create an interesting learning atmosphere, for example by utilizing learning media. Research on the design of mathematics learning media using adobe animate applications at SMKN 1 Bukittinggi uses the 4D version of the research and development (RD) method, namely Define, Design, Develop, and Disseminate. The system development model uses Luther Sutopo's Multimedia Development Life Cycle development model which consists of 6 stages: Concept, Design, Material Collection, Assembly, Testing, and Distribution. The product test used in this research is the validity test, practicality test, and effectiveness test. The results of the product test that the author did obtained a validity test from 3 experts obtained a value of 0.96 with a very valid category, the practicality test of 8 practitioners obtained a value of 0.95 with a very high category, and the effectiveness test of 11 assessors obtained a value of 0, 90 with very effective category.
PROTOTIPE APLIKASI PENGENALAN WAYANG KULIT MENGGUNAKAN CNN BERBASIS VGG16 prabowo, dwi puji; Ullumudin, D.I.I; Pramunendar, R.A.
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.10485

Abstract

Indonesia has various types of culture and traditional arts. In this era of globalization, local culture and arts have begun to be eroded by the times. One of the diverse Indonesian culture is wayang kulit. Where the shadow puppets in Indonesia vary and vary from region to region. In this case, the puppet characters have different forms and curves, so recognizing the shape of a puppet is very difficult. In the development of technology, computer vision technology began to be widely used to perform object recognition with deep learning learning. So that an object being studied can be detected properly. In this study, a prototype was made with the detection of puppet types using Deep Learning learning using Convolutional Neural Networks to detect shadow puppet objects based on the VGG16 architecture. The results obtained by the CNN and VGG16 methods reached 86%. With the results obtained, a prototype model is made which will later be able to help the community in the introduction of shadow puppets.Keyword: CNN, shadow puppets ,VGG16
Implementasi Algoritma Brute Force Dalam Pencocokan String Pada Aplikasi Pencarian Musik Saputra S, Kana; Al-Areef, M. Hafizh; Fadhilah, Nazifatul; Rifqi Naufal, Muhammad; Rifqi Maulana, Muhammad; Fajar Harahap, Muhammad
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.8464

Abstract

Musik adalah hal yang sering kita jumpai dalam kehidupan sehari-hari. Banyak kegiatan sehari-hari kita yang ikut ditemani dengan musik. Aplikasi musik berbasis web ini dapat membantu pengguna dalam pencarian informasi mengenai suatu musik, seperti judul, album, artis, dan liriknya. Sebelumnya pencarian lirik lagu berdasarkan judul lagu, penyanyi adalah hal yang sulit. Penelitian ini bertujuan untuk membuat aplikasi pencarian lirik lagu dengan menerapkan algoritma brute force sebagai fitur pencari. Pengguna hanya memasukkan judul lagu atau lirik lagu atau nama penyanyi untuk melakukan pencarian. Algoritma brute force cocok digunakan dalam kasus pencocokan string dalam pencarian informasi mengenai musik yang dilihat dari sisi efektifitas dan efesiensi waktu.
Evolusi Cipher Vigenere dalam Peningkatan Pengamanan Informasi Ardhianto, Eka; Handoko, Widiyanto Tri; Supriyanto, Edy; Murti, Hari
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9333

Abstract

Pertukaran informasi melalui ruang publik masih menyisakan kerentanan keamanan, sehingga perlu mekanisme pengamanan melalui proses kriptografi. Salah satu model kriptografi yang dapat bertahan hingga lebih dari 300 tahun adalah Vigenere Cipher, sebelum dipecahkan oleh Kasiski dan Friedman. Artikel ini membahas tentang perkembangan dan evlolusi Vigenere Cipher. Hingga saat ini, penggunaan Vigenere Cipher masih dapat diaplikasikan untuk mengamankan petukaran informasi dan transaksi komunikasi. Dalam perkembangannya, bentuk evolusi pada Vigenere terfokus pada tiga bagian, pengembangan dengan metode hibrid, pengembangan pada proses penerbitan kunci yang digunakan dan pengembangan pada jumlah karakter set yang digunakan pada Vigenere. Dengan pengembangan pada ketiga fokus tersebut, maka Vigenere Cipher mampu menyuguhkan tingkat keamanan yang lebih baik pada informasi yang disandikannya. Keuntungan lain adalah Vigenere Cipher dengan pengembangan ini dapat diaplikasikan dan diterima untuk pengamanan dan pertukaran infomasi pada bidang yang lebih luas
PENGEMBANGAN POLYCLINIC MOBILE APPLICATION UNTUK MENINGKATKAN PELAYANAN KESEHATAN PADA MASYARAKAT PEKERJA Setiyadi, Andi; Wuryanto, Endro Dwi
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9500

Abstract

The use of mobile devices is increasingly popular. Mobile devices are increasingly equipped with advanced hardware and software technology. With dynamic performance and practical on mobile devices can master the development of the world ICT industry (information and communication technology). Software has become one of the spearheads of mobile success device. The creation of application programs is an important breakthrough in mobile development device. Likewise, the development of the Polyclinic Mobile Application in lecturer research This beginner is to provide solutions to problems that exist at the polyclinic at environment of PT. Eka Sandang Duta Prima Semarang, which is not yet supported by ICT, so in providing health services to the community, workers who are less than optimal can resolved. In developing the Polyclinic Mobile Application, it is not only a registration feature only, but there are several other features that were developed such as; polyclinic profile, schedule practice, modern queuing system, recording medical records, view patient history, take notes medical action, noting the drug administered.

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