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Jurnal Ilmu Komputer dan Desain Komunikasi Visual
Published by Universitas NU Sidoarjo
ISSN : 25414550     EISSN : 25414585     DOI : -
Core Subject : Science, Education, Art,
Arts Computer Science & IT Education Languange, Linguistic, Communication & Media
Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS) merupakan jurnal open access yang diterbitkan dua kali dalam setahun di bulan Juli dan Desember oleh Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo dengan 5-6 artikel tiap terbitan.
Arjuna Subject : -
Articles 6 Documents
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Search results for , issue "Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)" : 6 Documents clear
K-NN Klasifikasi Kematangan Buah Mangga Manalagi Menggunakan L*A*B dan Fitur Statistik Arif Patriot Sri Pamungkas; Nur Nafi’iyah; Nur Qomariyah Nawafilah
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

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Abstract

Fruits are a food source of vitamins. The fruit is quickly damaged by mechanical, chemical and microbiological influences, making it easy to rot. Classification is carried out on a group of mangoes which differ in type of maturity. The distinguishing feature was used is the L*A*B color feature. The purpose of this researchgave the output of the maturity classification ofManalagi mangoes based on color features using the Matlab application. In this research the GLCM method will be proposed for feature extraction in mangoes. By using K-Nearest Neighboor (KNN) to determine the maturity level of the Mango fruit. The dataset used is 130 data, consisting of 65 data for raw, 15 for half-cooked and 50 for mature. The KNN Classification results using the GLCM and L*A*B methods for Feature Extraction get an accuracy value of 62.5% in the test data. Keywords— Matlab, Manalagi Mango, KNN, Lab, GLCM.
Klasifikasi Kematangan Buah Jeruk Berdasarkan Fitur Warna Menggunakan Metode SVM Muchammad Arief
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

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Abstract

Diverse fruit colors make us sometimes too difficult to determine whether the fruit is in the mature or raw category, therefore in this thesis discussed and explained how to find out the maturity of the fruit by using the SVM method (Support Vector Machine), by taking several image samples oranges by using a digital camera or handheld camera then from the sample the original image will be converted into a greyscale color then from greyscale it will be converted into LAB color in order to find the color A from LAB and R, G from RGB (Red, Green , Blue) then the average value is taken and then classified. From the research, the fruit will be ripe or still raw. From the results of the study, the accuracy of the match was obtained with a percentage of 80% of the data as many as 100 images of oranges. Keywords: Classification of Fruit Maturity Levels, Citra
Sistem Informasi Kehadiran Guru dan Jadwal Pelajaran Berbasis SMS Gateway Achmad Baijuri
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

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Abstract

Al-Falah Middle School is a Secondary Education level led by Lora Ahmad Musaddad Son of the First Caregiver of Al Falah Jangkar Pesantren. The education applied by this institution is the Modern Salaf, besides being taught religious education, it also teaches general education such as junior high school. Junior high school teachers often when having a teaching schedule on certain days forget about their teaching schedule so they need to be reminded by individual officers through sms or social media. Apart from that, the teacher sometimes forgets to list the attendance of teachers in the office every day. So that this makes it difficult for recap attendants at the end of each month. Therefore, this study aims to overcome these problems so as to facilitate and assist officers in carrying out their duties effectively and efficiently by designing teacher attendance information systems and getway based lesson schedules using the waterfall method in system development. The results of this study indicate that the information system designed is really helpful for schools, especially teaching hours reminders and teacher attendance recap. Keywords : Information System, Present Teacher,Schedule leason, Sms Gateway
Perancangan Corporate Identity Kampoeng Banyumili di Desa Gedangan Dimas Prastowo Aji; Peni Pratiwi; Birmanti Setya Utami
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

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Abstract

Kampoeng Banyumili is one of many new tourist attraction located in Jl. Raya Muncul-Salatiga KM.5 Desa Gedangan, Kabupaten Semarang, Central Java that haven't implemented a consistent corporate identity. There are 3 different logos that are being used stimultaneously in Kampoeng Banyumili. Corporate identity is important to bring out company's certain image. Deep reaserach on client is a must when designing Corporate identity to match the image a company desired and making it easier to combine logos, colors, typographys, and graphic elements so it will matched the concept. Based on SWOT analysis and target audience on designing Kampoeng Banyumili corporate identity, the concept of shape, color, typography, and graphic elements is to give a natural image, simple, elegant, and togetherness. The design result are logos and graphic elements as an identity and supporting media to help Kampoeng Banyumili introduced the new image and identity to public that is easy to remember and to gain public's trust. Key Words : Kampoeng Banyumili, Corporate Identity, Logo, Graphic Element
Pengembangan Strategi Blended Learning Sebagai Pendukung Perkuliahan Mahasiswa Milenial Faridatun Nadziroh; Handi Rahmannuri; Evy Nur Amalina
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

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Abstract

At present, the development of learning patterns for students needs to be considered. The rapid advancement of technology requires educators, especially lecturers to provide new strategies to be able to help increase students' interest in learning, especially millennial students who are starting to decreased. Millennial students more interested to want a learning model that is practical and not boring. This is what drives the writer to conduct research that focuses on learning models that are not only face-to-face in the classroom but can be done anywhere and anytime. The author choose blended learning as an applied learning model because this model is a combination of face-to-face learning and computer-based learning. The development of this model utilizes based on social media edmodo for education. The object of the study was conducted on two classes of word processing courses on office automation students ini AKSI Gresik. The object of research was 39 millenial students. The results obtained from the pretest and posttest there are significant differences in the average range of values obtained. Where at the time of the pretest the value entered in the interval 69 ≤ value ≤ 84 with good criteria. while at posttest the value entered in the interval of 85 ≤ value ≤ 100 with very good criteria. Keywords : Blended Learning, Learning Interest, Millenial Student
Pengenalan Tulisan Tangan Bahasa Arab Menggunakan Metode Probabilistic Neural Network Vidia
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 4 No 1 (2019): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

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Abstract

Technological developments are very rapid at this time does not make documentation of data or information with handwriting removed. Even in various studies, writing by hand has proven to have a very good effect on brain intelligence. In this research, handwriting recognition applications will be built using the Probabilistic Neural Network method with training data. Data with each letter consists of 10 samples used for system training. In pattern recognition, training data has a very important role in determining the accuracy of the system, besides the size of the pixel dimensions of rows and columns of image is also very influential. This handwriting image recognition process goes through several stages, namely training data and testing data. In the training data phase there are some data that must be trained before the data is tested. After training the data will be tested and then converted to RGB in the gray direction. The data tested is initially connected so that it can be separated, then the data is cropped. Then the data extraction feature will be set to produce training data and testing data. In this study, the image pixel matrix will be changed in vector form. Keywords: Handwriting Recognition, Feature Extraction, Probabilistic Neural Network (PNN).

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