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JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,069 Documents
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Implementasi Mobile Ad-Hoc Network Pada Daerah Pasca Bencana Dengan Protokol DSR Alon Jala Tirta Segara; Aditya Wijayanto; Muhamad Azrino Gustalika; Afifah Dwi Ramadhani
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4508

Abstract

Indonesia is one of the countries that has a very large potential for disaster. If a disaster occurs then all activities will stop because the infrastructure is damaged. One of the example is digital payment activitiy. It will stop because there are failure because the existing system is loss. The proposed research is to conduct modeling using cellular ad hoc networks (MANET). An Ad-Hoc network is a standalone configuration for configuring the network infrastructure of devices that can self-configure wirelessly connected devices. In its development, Mobile ad hoc networks can be used in many ways. One of the example is in disaster management. In this study, we recommend restructuring the network by using a mobile ad hoc network to replace network infrastructure damaged by disasters. We are trying to design a replacement network infrastructure to replace the damaged network infrastructure so that payment transactions can be carried out continuously until the restoration of the new network infrastructure can be built. The protocol used in this study is the DSR (Dynamic Source Routing) protocol, this protocol has the advantage of finding routes when there is damage to the links between nodes. From the simulation results using NS-2, by increasing the number of nodes in the simulation area, it shows that there is a decrease in packet loss to 0%. There is an increase in delivery success of almost 98% when the number of nodes is increased. And there is a decrease in delay with the addition of the number of nodes
Analisis Penerimaan Penggunaan Aplikasi WeTV di Pulau Jawa Menggunakan Metode Technology Acceptance Model (TAM) Hikmah Safitri; Diovianto Putra Rakhmadani; Shintia Dwi Alika
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4557

Abstract

Every human being always needs what is called entertainment andwith the help of the internet entertainment facilities are not only obtained in the real world but can also be obtained in the virtual world.  There are many entertainment facilities to watch online videos  in Indonesia, one of which is by using the WeTV application. WeTV is an application owned by Tencent Video that conducts ekspansi in Indonesia, WeTV was present in 2019 as an application that presents a variety  of interesting online video content  from several countries that can be accessed and can be enjoyed by the Indonesian people because it is equipped with a translator Indonesian.  The purpose of this study is tofind out the factors that influence the acceptance of WeTV applications using  the Technology Acceptance Model (TAM) method with research variables Preceived Usefulness, Perceived Ease of Use, Attitude Toward Use, Intentation To Use and Actual Usage. The distribution of questionnaires was carried out online with a minimum sample of the number of respondents determined by the slovin formula and and teknik sampling using simple random sampling.  This study used PLS-SEM data analysis with SmartPLS tools.  The results of this study found that the factors that most influenced the acceptance of WeTV applications in Pulau Jawa were the variable Perceived Ease of Use (ease) to Perceived Usefulness (usability).
Analisis Prediksi Mood Genre Musik Pop Menggunakan Algoritma K-Means dan C4.5 Lia Nurhalimah; Teguh Iman Hermanto; Ismi Kaniawulan
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4597

Abstract

Spotify is a music streaming platform that has a variety of diverse features and is always updated in terms of the latest music. The features in spotify have an interesting thing for users to enjoy music more optimally both in listening to songs based on songs, most popular artists and genres. Research on classifying songs based on mood by using energy and valence in a song is often done, especially in western pop songs. In every thought music has emotional energy that radiates and is strongly related to human psychology. The problem with spotify is that there is no feature to listen to songs based on mood. If pop songs are categorized by mood, it will be easier for people to listen to pop songs and choose the appropriate one based on mood. In this study, pop music data will be grouped based on 4 categories of Thayer's mood models using the k-means and c4.5 algorithms. The purpose of this study is to analyze the mood prediction of the pop music genre using the k-means and c4.5 algorithms. The research methodology used is SEMMA, the stages in Semma are sample, explore, modify, model and assess. The attributes used are danceability, energy, tempo and valence. From these attributes, data clustering is made using the k-means algorithm using RapidMiner. Then visualized using Power BI. The results of the research from cluster data are grouped into moods consisting of angry, sad, cheerful and happy. The most abundant mood is in the cheerful mood. Then evaluate the assess using the calculation of the confusion matrix which produces an accuracy rate of 91.9%..
Pengembangan Sistem Deteksi Memakai Masker Menggunakan Open CV, Tensorflow dan Keras Johanes Christianto Tiku; Wahyu Andi Saputra; Novian Adi Prasetyo
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4739

Abstract

In 2020 the country had contracted the covid 19 virus. The very significant spread made the government have to issue regulations regarding the implementation of health protocols for wearing mask to inhibit the development of the covid 19 virus in the community in real time. By utilizing technological developments in the field of deeplearning and computer vision, this study aims to detect maskon people's faces based on the classification made in the system of wearing maskand not wearing memakai maskers. This study used tensorflow/hard, opencv and deeplearning to perform classification and detection on faces. Based on the results of the confusion matrix test using 100 test data with a group of 50 wearing maskand 50 not wearing memakai maskers, it resulted in 91% Accuracy to detect maskon the faceTRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Rancangan Aplikasi Monitoring Santriwan-Santriwati Pondok Pesantren Berbasis Mobile Android Zeinky Ghossan Azhar; Ade Putra
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4815

Abstract

This research was conducted to make it easier for parents to get activity information quickly and in real time, plus the lack of data storage on student activities from the cottage. The development of technology is growing rapidly so that everything is completely computerized, so based on this it is necessary to keep up with the latest developments, so that work in the cottage becomes practical and reduces errors due to human error. Activities to monitor what is done by santriwan or santriwati need to be better improved, so that each student can be monitored or monitored for their educational development. Not to mention, sometimes distance is the main obstacle for parents in obtaining information, plus there is often a delay in information from the boarding school in conveying information to parents of students, by using and applying news technology, the cottage can be simpler and faster in conveying information. to parents of students, and parents of students can also participate in supervising their children in terms of obtaining issues related to using student activities, student attendance and violations committed by students. As technology develops, monitoring software for students has started to appear, but parents have also used smartphones a lot, with Android-based software as a student monitoring media that can be accessed by all parents who leave their children in Islamic boarding schools. The results of this study are a system that can be accessed by guardians of students to monitor students while they are in the pesantren
Analisis Kualitas Jaringan Internet Kampus Universitas Islam Negeri Sultan Syarif Kasim Riau Menerapkan Metode Quality of Service(QoS) Haikal Zikri; Iwan Iskandar; Pizaini Pizaini
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4930

Abstract

Universitas Islam Negeri Sultan Syarif Kasim Riau (UIN SUSKA RIAU) memiliki akses jaringan internet di beberapa Gedung yang telah terhubung dengan server. Fasilitas internet yang disediakan dapat diakses seluruh civitas akademik kampus, berupa Kabel LAN dan berbasis wireless. Namun pada ISP yang berbeda dari sebelumnya, dalam penggunaan jaringan internet kampus terkadang mahasiswa mengeluhkan tentang fasilitas internet yang ada, mulai dari internet yang lambat, tidak dapat tersambung ke internet, jaringan putus-putus, dan belum mencakup ke seluruh Gedung yang ada di lingkungan kampus Universitas Islam Negeri Sultan Syarif Kasim Riau. Untuk mengetahui seberapa besarnya kualitas layanan internet kampus, dilakukan penelitian QoS (Quality of Service) dengan parameter yang digunakan yaitu: troughput, delay, jitter, dan packetloss. Pengukuran parameter QoS menggunakan aplikasi wireshark  dilakukan pada setiap Gedung Fakultas yang telah terhubung dengan server kampus dengan rentang waktu pelayanan jam sibuk dan jam sepi setiap harinya pada jam kerja. Berdasarkan hasil penelitian yang telah dilakukan menunjukkan bahwa kualitas jaringan internet kampus Universitas Islam Negeri Sultan Syarif Kasim Riau secara keseluruhan dengan kategori Bagus menurut standar ETSI.
Kerangka Kerja Indikator Pengukuran Tingkat Kematangan Transformasi Digital Perguruan Tinggi Yanuar Firdaus Arie Wibowo; Dawam Dwi Jatmiko Suwawi; Widia Febriyani
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.5004

Abstract

Strategic planning is an essential part of the college life cycle; a critical aspect of planning is the digital transformation of universities. Digital transformation supports university business processes and is a riving engine for universities to adapt to changes to provide added value for the best services for all stakeholders. To achieve this, universities need an overview of the maturity level of digital transformation that has been achieved today. This research produces a new methodology for assessment in a holistic framework as an indicator of measuring the maturity level of digital transformation.This measuring tool must be easy to use by universities when they will take measurements for all academics and easily understood by all respondents who are determined to provide an accurate picture of the maturity level of digital transformation. The final result is presented in the form of a framework that contains a standard value index of maturity level, and recommendations for digital transformation as a form of self-evaluation for higher education strategic planning
Penerapan Google Maps API dan Formula Haversine Pada Aplikasi Ambulance Rakyat Eko Budi Susanto; Paminto Agung Christianto; Mohammad Reza Maulana; Bambang Ismanto
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4594

Abstract

Emergency measures to treat trauma patients really need to be done so that they can be handled properly, one that can be used to deal with this problem is the availability of an ambulance.Utilization of Google Maps API technology can be implemented in applications to assist residents of Kota Pekalongan in getting access to ambulance transportation through the Ambulance Rakyat application. The Ambulance Rakyat is a type of Android-based panic button application that is used to find and call an ambulance based on the user's closest location. In this research, the Ambulance Rakyat application has been built that implements the Haversine formula and the Google Maps API. The test results show that the Ambulance Rakyat application can find the location of the nearest ambulance, and the application can display a map of the location of the user and ambulance driver. Based on tests conducted by application developers, the application has been in accordance with the needs of users
Analisis Penerapan Normalisasi Data Dengan Menggunakan Z-Score Pada Kinerja Algoritma K-NN Raditya Galih Whendasmoro; Joseph Joseph
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4526

Abstract

The large volume of information in the data causes a lot of data to be stored in the dataset. The dataset consists of various attributes and attribute values which contain information stored in the dataset. Data mining is a process that can be used to search for information on datasets. However, the problems encountered in the dataset are often found to have abnormal data such as the range of values that are too far and different between dataset attributes. The value range that is too far causes the results of the information obtained to be not optimal, in data mining itself the process or results are good based on the quality of the data stored in the dataset. Data normalization is a preprocessing stage, where data normalization is scaled back to the range of values in the attribute. Z-Score Normalization is a statistical technique that can be used in data mining to preprocess data by performing data transformations. Z-Score Normalization can be combined with data mining classification techniques, where the role of Z-Score Normalization is to normalize data which is useful for improving the performance of data mining classification algorithms, especially the K-NN algorithm in this study. The results of the study show that Z-Score Normalization is useful for improving performance than the K-NN algorithm. This can be seen from the increase in the accuracy value obtained from the K-NN process before normalizing the dataset and after normalizing the dataset. The accuracy values respectively before normalizing the dataset were 95.13%, 95.83%, 96.11%, 95.77% and 95.81% after normalizing the dataset there was an increase in the accuracy value, namely 97.87%, 98, 57%, 98.77%, 97.23% and 98.11%.
Evaluasi System Usability Scale Pada Sistem Presensi Pengunjung Resource Center Rumini Rumini; Norhikmah Norhikmah
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4721

Abstract

Resource center (RC) or can be called also in this case is a library. The library is a place to study or to access information. The RC system of Amikom Yogyakarta University has attendance services for visitors from the user side, namely internal students and external visitors and stores visitor data to find out how many people visit the library, both internal and external visitors. Usability problems that usually appear in system features for users, indicate the need for usability testing. Usability testing uses the SUS (System Usability Scale) method in order to find problems with the visitor attendance system by referring to usability principles, which can involve users. This research was conducted in 3 main stages, namely compiling a questionnaire in accordance with the provisions of the SUS method, processing the results of the respondents' answers from those distributed to visitors by the SUS method rules to obtaining test results in the form of SUS scores. Based on the results of the evaluation carried out, the average SUS score from the study was 55.56, which means it has a D rating (less) which indicates that the presence system visitor feature cannot be accepted by users from the usability aspect, it is still minimal in use, because it only stores visitor data, the recommendations given from the results of this evaluation in order to increase usability for visitor features are such as visitor entry hours, exit hours, input facilities in the form of input related to collections of books, journals, magazines, e-books, facilities inside, room atmosphere, and others, because things like this affect the optimal library services for visitors.

Page 67 of 107 | Total Record : 1069

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