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Jurnal Komputer Terapan

jkt
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Published by Politeknik Caltex Riau

ISSN : 24434159 EISSN : 24605255 DOI : https://doi.org/10.35143/jkt

Core Subject : Science,

Computer Science & IT

Applied Computer Journal Articles from various fields in Informatics, Information Systems and Computer science. Topics included, 1. Informatics 1.1 Software Engineering 1.2 Multimedia 2. Information Systems 2.1 Soft Computing 2.2 Business Analyst 2.3 Data Engineering 3. Computer science 3.1 Operating System 3.2 Computer Network

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 10 Documents

Search results for , issue "Vol. 7 No. 1 (2021): Jurnal Komputer Terapan" : 10 Documents clear

Penerapan Haar Cascade Classifier dalam Mendeteksi Wajah dan Transformasi Citra Grayscale Menggunakan OpenCV S Yulina
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Face detection applications on digital images are very necessary in the process of face recognizing. This application is widely used in various disciplines, one of them is computer vision such as biometric recognition systems, search systems, and security systems. Computer vision is a combination of artificial intelligence and machine learning. It can gain informations from image and video by using computer algorithms. Many previous studies have developed face detection applications with various algorithms with certain programming languages. The detection of an object is the most important part in computer vision. Determining an accurate face location is still a challenging task for researchers. The location of the face is the main step in computer vision to find the face part in the input image. Open Source Computer Vision Library (OpenCV) is software that allows open-source library containing supporting object detection that is easily accessed into the Java programming language. Haar cascade classifier is one of the algorithms used for object detection. This algorithm can convert an object quickly by taking the number of images in a square shape on an image. In this study, discussing the application of face detection in digital images using the Haar Cascade Classifier and the transformation of images into gray / grayscale images using the OpenCV library. The results in this study have 100% accuracy in input images that have objects in the frontal position.

Kompresi Citra Digital Dengan Basis Komponen Warna RGB Menggunakan Metode K-Means Clustering Arief Bramanto Wicaksono Putra; Muhammad Trisna Aryuna; Rheo Malani
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

With the development of technology and digital media, the quality of the data used is also getting higher but the size of the data is also getting bigger and requires larger storage media. To overcome the increasing need for data storage, one way that can be used is by compressing data to save space in storage memory. In this study, the k-means clustering method will be used to compress data in the form of a digital image. By grouping the colors of an image and changing the value of the color pixels in the image based on the value of the cluster center of each cluster member. The initial centroid value which is determined at the initial stage of clustering will affect the compression results. In this study, 10 experiments were carried out, with the best image quality results obtained in the 5th experiment with an MSE value of 70.22 and a PSNR value of 29.70. While the compression quality was obtained in the 7th experiment with a compression ratio of 74.5%. The results of the measurement of image quality in the 10th experiment were also obtained with an MSE value of 73.45 and a PSNR value of 29.51, and the lowest compression quality was obtained in the third experiment with a compression yield ratio of 71.3%. The average measurement results obtained an MSE value of 71.47, a PSNR value of 29.62 and a compression ratio of 72.40%.

RANCANG BANGUN APLIKASI SIMULASI 3D PEMBELAJARAN FISIKA BERBASIS DESKTOP SEBAGAI MEDIA PEMBELAJARAN UNTUK SISWA SEKOLAH MENENGAH ATAS (SMA) (STUDI KASUS: SMA NEGERI 1 BUKIT BATU) Meilany Dewi; Meiri Yanti
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Elastisitas zat padat, fluida statik, fluida dinamik, dan termodinamika merupakan empat materi yang diajarkan pada pelajaran fisika untuk siswa SMA kelas XI. Berdasarkan hasil wawancara, metode konvensional dengan bantuan media konvensional masih menimbulkan kesulitan dikarenakan keterbatasan informasi, serta kurangnya alat peraga untuk menunjang pembelajaran. Sehingga diperlukannya suatu media pembelajaran baru yang dapat menjelaskan materi fisika secara interaktif dan dipergunakan sebagai alternatif media pembelajaran baru untuk membantu siswa dalam memahami materi. Oleh karena itu, akan dibangun sebuah aplikasi pembelajaran tentang fisika dengan materi elastisitas zat padat, fluida statik, fluida dinamik dan termodinamika berbasis desktop yang akan menampilkan simulasi penerapan dan materi tersebut. Aplikasi ini telah berhasil dibangun dengan fungsionalitas yang berjalan baik serta materi yang tervalidasi untuk membantu siswa dalam memahami materi yang disajikan dengan diperolehnya peningkatan yang lebih unggul dibandingkan media konvensional, yakni 21,33% untuk elastisitas zat padat, 14% untuk fluida statik, 16% untuk fluida dinamik, dan 19% untuk termodinamika. Serta dapat dijadikan alternatif media pembelajaran interaktif untuk guru dalam menyampaikan materi yang disajikan dengan diperolehnya hasil pengujian kepuasan sebesar 89,21% dengan kategori sangat baik serta pengujian usabilitas sebesar 73,20% yang menunjukkan aplikasi telah bersifat acceptable.

Sistem Rekomendasi Penerima Zakat Untuk Mustahiq Dengan Metode Simple Additive Weighting (SAW) Alexander J P Sibarani; Muhammad Natsir Gayo
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Zakat in Islam is a cleanser from wealth. Apart from cleansing from wealth, zakat also eases the burden of mustahiq. In Indonesia, which is predominantly Muslim, the problem of zakat is an important matter to maximize its management which will later be useful for overcoming poverty problems. Jami Nurul Hikmah Mosque is a religious and social institution located in Tangerang City. The problem that is often encountered is the method in selecting mustahiq which is still using the manual method so that it often causes problems such as the length of the selection process and the occurrence of miscalculations causing inaccurate mustahiq selection results. In addition, the unavailability of access to information to see mustahiq who have entered the list of zakat recipients has resulted in mustahiq who have received zakat to receive assistance more than once a year. Assessment criteria in determining zakat recipient recommendations for mustahiq include looking at the status of residence, income, employment status, number of dependents, and family vehicle. To solve this problem, a recommendation system was built that could help zakat managers in distributing zakat to zakat recipients. The Simple Additive Weighting (SAW) method is used to calculate the value of the criteria to produce zakat recipient recommendations. With this system, zakat managers can provide recommendations for potential zakat recipients quickly and accurately.

The Analysis And Design of School Health Unit Information System Dhiani Tresna Absari; Liliana Liliana
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

The success of education is supported by both academic and non-academic aspects. To achieve this educational goal, schools should have a good partnership with parents regarding both aspects, including student health. But unfortunately, many school considers student health unit which is called Usaha Kesehatan Sekolah (UKS) as a supporting system in their business processes at school, and it gets less attention. Currently, quite a lot of activities at UKS are carried out on a paper-based process, or even rely on the memory of officers, such as permission not to go to school, use of drugs, information on outreach activities, things that happen to the children at school and other activities. Such information may not be well received by parents. Therefore, a system that allows parents and schools to interact online is needed, regarding children's health conditions while in school and otherwise. This system is designed in two platforms, which are web and mobile; and centralized in one database, so that the system remains integrated and can be accessed easily by the school and parents. Thus, this system is expected to improve the quality of communication between schools and parents.

Perbandingan Arsitektur LeNet dan AlexNet Pada Metode Convolutional Neural Network Untuk Pengenalan American Sign Language Muhammad Ezar Al Rivan; Alwyn Giovri Riyadi
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

American Sign Language (ASL) is a sign language used to communicate for deaf people. The method used to identify ASL is Convolutional Neural Network (CNN). The architecture used by LeNet and AlexNet. The results of each architecture are then compared. The research was conducted with 2 schemes of the amount of data used, namely the first scheme of 100 data per letter and the second scheme of 1,000 data per letter to test the performance of the two architectures. The research results after being tested with new data, the first scheme for the LeNet architecture produces an overall accuracy of 48.332% and the AlexNet architecture produces an overall accuracy of 32.584%. The second scheme for the LeNet architecture produces an overall accuracy of 92.468% and the AlexNet architecture produces an overall accuracy of 91.618%. Overall comparison can be said that the LeNet architecture is the best architecture in this study.

Model Prediksi Kemenangan Tim dalam Game League of Legend Menggunakan Algoritma Decision Tree Green Arther Sandag
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Online games are growing very rapidly because they are supported by the development of smart phones which are increasingly being used. Online games are in great demand by various groups ranging from children, teenagers to adults who enjoy playing online games. The purpose of this research is to predict the team's victory in the league of legend game by using the decision tree algorithm. In this research, the dataset taken is 50,000 data, divided into 80% training and 20% testing. The results of this research show that the Decision Tree Algorithm has the best performance among other algorithms to predict victory with the results of 96.42% accuracy, 97.74% recall Team 1, 95.06% recall Team 2, 95.31% precision Team 1, 97.62% precision Team 2 and 0.157 RMSE for independent results while for 10 fold cross validation results have 96.24% accuracy, 97.34% recall Team 1, 95.11% recall Team 2, 95.33% precision Team 1, 97.21% precision Team 2, and 0.161 RMSE in detecting wins in the game League of Legend.

PENERAPAN METODE SYSTEM USABILITY SCALE (SUS) PERANGKAT LUNAK DAFTAR HADIR DI PONDOK PESANTREN MIFTAHUL JANNAH BERBASIS WEBSITE M. Rudi Sanjaya Sanjaya; Ariansyah Saputra; Dedy Kurniawan
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

The application of technology from time to time develops rapidly, because with the current application of technology it is easier for human work, one of which is by using software, at the Miftahul Jannah Islamic boarding school located in the village of observation, Kec. In the observation of OKU district, in South Sumatra, there has been no application of technology, namely software, one of which is a website-based attendance list software. The purpose of this research is to build a software attendance list at the Miftahul Jannah Islamic boarding school for teachers, students and female students by applying the System Usability Scale (SUS) method. This research method uses observation, interviews, literature study, needs analysis as well as building and implementing attendance list software using the application of the System Usability Scale (SUS) method, where the criteria for implementing the SUS method are if the value is greater than 80.3 then the criteria are very good, while the value from 68 to 80.3 means software with the application criteria is good, the value of 68 application of the SUS method is sufficient, while the value of 51 to 68 with the criteria for applying the SUS method is less, the value is below 51 then the criteria for applying the SUS method is very lacking, As for the results of the application using the method System Usability Scale (SUS), get the results of the respondents for k teachers where the average value of the conversion results obtained was 79.54, while for student respondents showed the average value conversion result using the application of the SUS method the result was 79.33 where the conversion results The application of the SUS method in this study has been accepted in accordance with the criteria for the distribution of the system usability scale (SUS) method.

Klasifikasi Topik Skripsi Berdasarkan Makna dengan Pendekatan Semantik Web Aditya Pradana; Randy Ridwansyah
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

The Semantic web is a technology that can understand contexts as humans do. Many fields can take advantage of the technology in solving the problems it faces, one of which is higher education. This research aims to find out the most popular topic(s) discussed in Bachelor’s theses of the Informatics Engineering Study Program of Universitas Padjadjaran. Many of the Bachelor’s theses have discussed similar topic areas, but with different terminologies. It is difficult to determine whether a topic has been discussed too often and what algorithms are often used in the research. The Study Program can use the results of data processing in curriculum design and evaluation. The steps taken in this research are data collection, entity creation, ontology implementation, creating RDF, and performing SPARQL queries. In creating an entity, several terms with similar meanings were obtained and then made into unique master data. The results can be seen from the ontology's visualization using Protégé that the relationship between entities with the same value can be seen. The query results revealed that 36.15% of the theses is about Information System, and 24.41% involve making applications.

Prediksi Harga Bitcoin Menggunakan Metode Random Forest : (Studi Kasus: Data Acak Pada Masa Pandemic Covid-19) Siti Saadah; Haifa Salsabila
Jurnal Komputer Terapan Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

During this pandemic, virtual financial transactions increased sharply. Because the storage of assets and forms of buying and selling transformed using digital services. Bitcoin as one of the cryptocurrencies that is currently widely used and in demand by the people of the world, but there is no specialized financial institution responsible for bitcoin buying and selling transactions, requires a bitcoin price prediction system to know the status of the value of bitcoin. Referring to the ever-fluctuating characteristics of bitcoin data, the Random Forest Regression method is used to predict the price of bitcoin. This algorithm is one of the modeling that can produce good performance in terms of prediction. Using Random Forest Regression modeling, MAPE value was obtained by 1.50% with accuracy of 98.50%. That value is the value that produces the best performance among all bitcoin prediction attempts.

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ibnu surya

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Jurnal Komputer Terapan (JKT) Badan Penelitian dan Pengabdian kepada Masyarakat (BP2M) Politeknik Caltex Riau Jl. UmbanSari No. 1 Rumbai - Pekanbaru 28265

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name ibnu surya

Contact Email ibnu@pcr.ac.id

Phone +6285272673321

Journal Mail Official jurnalkomputerterapan@pcr.ac.id

Editorial Address Jurnal Komputer Terapan (JKT) Badan Penelitian dan Pengabdian kepada Masyarakat (BP2M) Politeknik Caltex Riau Jl. UmbanSari No. 1 Rumbai - Pekanbaru 28265

Location Kota pekanbaru, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
ibnu surya

Contact Email
ibnu@pcr.ac.id

Phone
+6285272673321

Journal Mail Official
jurnalkomputerterapan@pcr.ac.id

Editorial Address
Jurnal Komputer Terapan (JKT) Badan Penelitian dan Pengabdian kepada Masyarakat (BP2M) Politeknik Caltex Riau Jl. UmbanSari No. 1 Rumbai - Pekanbaru 28265

Location
Kota pekanbaru,

Riau

INDONESIA