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All Journal Jurnal Pseudocode Sinergi Journal of Information Technology and Computer Science JURNAL MEDIA INFORMATIKA BUDIDARMA Syntax Literate: Jurnal Ilmiah Indonesia Jurnal SOLMA Prosiding Seminar Nasional Teknoka JCES (Journal of Character Education Society) Jiko (Jurnal Informatika dan komputer) JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) KLIK: Kajian Ilmiah Informatika dan Komputer AMMA : Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Abdi Reksa BACA: Jurnal Dokumentasi dan Informasi
Febriandirza, Arafat
Universitas Muhammadiyah Prof. Dr. Hamka, Indonesia
Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Nursing Social Sciences Other

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Analisis Sentimen Aplikasi Mobile Bangking Bca Pada Ulasan Pengguna di Google Play Store Menggunakan Metode Naive Bayes Tobing, Afinda Juliana; Febriandirza, Arafat
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5485

Abstract

An application is a program that is developed to meet user needs. M-banking is one application that makes it very easy for users to make transactions anytime and anywhere. The services contained in the M-banking application make users do not need to bother visiting ATMs or banks. The number of BCA Mobile application installations through Playstore reached more than 50 million users The development of technology is currently increasing rapidly, including applications in the field of banking which are now widely used for mobile transactions without the need to go to a bank or ATM Of course, this makes it very easy for users or customers to make transactions using the mobile banking application. User reviews are an important source of information for developers to find out complaints from users or customers. User comments and ratings in reviews are needed by developers to improve the quality and performance of M-Banking applications. However, this does not guarantee satisfaction for application users. To identify the sentiment of BCA Mobile application users, sentiment analysis will be carried out with the Naive Bayes algorithm. This aims to assess the accuracy of the Naive Bayes algorithm. This study aims to determine the results of sentiment through comments from application users and to determine the results of accuracy, precision and recall. Whether the results of this analysis will be greater than positive or negative values. At the same time to see how accurate it is if sentiment analysis is classified with the Naive Bayes method. The data used is obtained through web scraping from 1000 user reviews on the Google Play Store application. For after web scrapping, a preprocessing stage will be carried out, and the data is divided into 60% training data and 40% training data.
Analisis Sentimen Ulasan Pengguna Game Pubg Di Google Play Store Menggunakan Algoritma Naïve Bayes Wibowo, Fajar Iqbal; Febriandirza, Arafat
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 3 (2024): Maret 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7264

Abstract

In today's digital era, technological development is very rapid and sophisticated. The online gaming industry has also evolved. Online games are a variant of video games that are played online via the internet. When users connect with other users, users can interact and work together. Battle rolaye games, such as Player Unknown's Battlegrounds (PUBG) have become one of the most popular of the many online games available. PUBG games offer a large-scale gaming experience that creates a dynamic gaming experience. One of the advantages of the PUBG game is that it has an attractive visual design and high quality graphics so that the game feels more realistic. However, this cannot guarantee satisfaction for users. To find out user sentiment towards the PUBG game, sentiment analysis using the Naïve Bayes Algorithm is carried out which aims to find out how accurate the Naïve Bayes Algorithm is used in classification. Data is taken using web scrapping techniques as many as 1000 user reviews in the Google Play Store review column. After going through preprocessing, the data is divided into 50% training data and 50% testing data. Prediction results tend to be positive with 578 positive sentiments and 232 negative sentiments. Based on evaluation using confusion matrix, the results are 83.95% for accuracy, 88.10% for precision, and 89.62% for recall.
Augmented Reality–Assisted PDEODE Instruction for Reducing Misconceptions in Momentum and Impulse Wulandari, Novia; Agustine, Eleonora; Febriandirza, Arafat; Prakasa, Esa
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v11i4.64099

Abstract

Misconceptions remain a persistent challenge in physics learning, particularly in the topics of momentum and impulse, which may hinder students’ understanding of subsequent physics concepts and problem-solving abilities. This study investigates the effect of implementing Augmented Reality–Assisted Instruction integrated with the PDEODE learning strategy on reducing students’ misconceptions regarding momentum and impulse. The research employed a mixed-method approach using an embedded mixed- method design to obtain both quantitative and qualitative insights. The instruments used included a Four-Tier Momentum and Impulse diagnostic test (FOTMI), Augmented Reality–based student worksheets, and observation sheets for monitoring the implementation of learning activities. The participants consisted of 30 eleventh-grade students (7 male and 23 female) from a public senior high school in Central Java. The effectiveness of the AR- assisted PDEODE strategy was analyzed using Cohen’s d effect size, while the learning implementation was evaluated in percentage form to determine its feasibility and consistency. The findings indicate a reduction in students’ misconceptions from 37.7% in the pretest to 33.5% in the posttest, reflecting a decrease of 4.2%. Furthermore, the analysis of conceptual change revealed that 32% of students experienced Accepted Change (AC), 44% showed No Change (NC), and 25% demonstrated Unacceptable Change (UC). These results suggest that the integration of Augmented Reality with the PDEODE strategy has the potential to support conceptual understanding, although further refinement is needed to optimize learning outcomes.
Pelatihan Pembuatan Website Masjid Sebagai Media Informasi Di Era Digital Endy Sjaiful Alim; Arafat Febriandirza
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 6 : Juli (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

 In facing the era of digital transformation, various sectors, including the religious sector, must be ready to adapt. At Taqwa Rosemary Mosque, which previously only conveyed information about its religious activities through loudspeakers, the dissemination of this information was limited to certain times. This caused many congregants and the surrounding community to not receive the information effectively. Therefore, it is necessary to improve the dissemination of information through the use of web media to present information more broadly and sustainably. A training program on digital information management has been implemented, yielding positive results on the knowledge and perceptions of the mosque administrators with very good evaluation scores, as well as satisfactory partner satisfaction with this activity.
Pelatihan Pembuatan Konten Promosi Bagi Pelaku UMKM Dengan Menggunakan Aplikasi CANVA Faldy Irwiensyah; Arafat Febriandirza
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 12 : Januari (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) are currently facing increasingly intense competition, particularly in the fields of digital marketing and branding. These two aspects have become essential skills that MSMEs must possess to compete in the digital space. The rapid development of digital competencies requires MSMEs to be ready to adapt by optimizing their use of digital media. Effective and targeted use of digital media is one of the key factors for MSMEs to achieve success. Therefore, MSME entrepreneurs need to enhance their ability to create engaging and interactive marketing content for promotion on digital platforms. As part of a community service initiative, training and mentoring activities were conducted to support MSME entrepreneurs, specifically DINARNIA Muslim Clothing Store. This training aimed to teach strategies for creating promotional content on digital media using the Canva application. Through this program, MSME entrepreneurs learned to utilize Canva, starting from creating an account, logging into the application, selecting templates, and adding images and text to the chosen templates. It is hoped that this training will assist MSMEs in promoting their products or services digitally, increasing sales, and ensuring business sustainability. The participants gained valuable insights into effectively using Canva, enabling them to advance their MSMEs to a better level.
Pelatihan Pembuatan Daftar Pustaka Menggunakan Aplikasi Mendeley Arafat Febriandirza; Prastika Indriyanti
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Many students struggle with manually creating bibliographies for their academic papers, a crucial step to prevent plagiarism. The Mendeley application offers a solution by automatically generating reference lists, yet not all students are familiar with it. Therefore, an online training session was held via Zoom for the general student population. The goal was to equip them with practical knowledge and skills in using Mendeley, enabling them to manage references independently for various academic writings such as journals and theses. This training is expected to not only enhance individual competencies but also contribute to improving the quality of education in Indonesia.
Analisis Sentimen Menggunakan Metode Naive Bayes Pada Komentar Penonton YouTube Windah Basudara Adam Putra Berlin; Arafat Febriandirza
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.899

Abstract

The development of social media has provided users with a space to express their opinions through comments, including on the YouTube platform. One content creator who has a large fanbase and active comment section is Windah Basudara. This study aims to analyze the sentiment of viewer comments on one of Windah Basudara’s videos using the Naive Bayes algorithm. This method was chosen due to its effectiveness in text classification and sentiment analysis. The data used consists of comments from the video titled "Mencoba NAMATIN game Keju Joget", which were collected randomly and cleaned through text preprocessing steps such as case folding, tokenizing, stopword removal, and stemming. The comments were classified into two sentiment categories: positive and negative. The analysis results show that the majority of comments carry a positive sentiment, reflecting a favorable response from viewers toward the presented content. The model evaluation demonstrates satisfactory classification results. This study is expected to contribute to understanding audience perception of YouTube content and serve as a reference for further analysis on social media platforms.
PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS IN LARGE-SCALE COMPUTER NETWORKS USING SIMULATION METHOD Hafidzun Alim; Arafat Febriandirza
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 2 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i2.11853

Abstract

Routing protocols are essential components in computer networks that function to determine the best path in the data transmission process. In large scale networks the selection of the appropriate routing protocol highly influences the Quality of Service or QoS and network stability. This research aims to analyze and compare the performance of OSPF, EIGRP and BGP routing protocols based on QoS parameters which include throughput, delay, jitter and packet loss also convergence time and system resource utilization. The research method used is network simulation using Network Simulator 3 (NS-3) with a quantitative experimental approach. Testing is conducted on a large-scale network with variations in the number of nodes, data traffic patterns, and network topologies. The simulation result data is analyzed to determine the performance differences of each routing protocol. The research results indicate that OSPF has the most optimal performance in large-scale internal networks with high throughput, low latency, and fast convergence time. EIGRP demonstrates stable and balanced performance, while BGP excels in the scalability aspect but has higher convergence time and latency. The conclusion of this research asserts that the selection of routing protocols must be adjusted to the needs and characteristics of the applied network. 
Co-Authors Abdiel Alpriyan Gempa Alamsyah Sahuri Abdurrakhman Prasetyadi, Abdurrakhman Acep Setiawan Adam Putra Berlin Ade Maya Saraswati Ahmad Afif Supianto Ambar Yoganingrum Amin Tohari Anggraeni, Widia Azpiranda, Novira E Erizal Eleonora Agustine Elvianasti, Mega Endy Sjaiful Alim Endy Syaiful Alim Esa Prakasa, Esa Faldy Irwiensyah Faldy Irwiensyah Firjatullah, Farhan Firman Noor Hasan Hafidzun Alim Herdi Tri Nanda Hibatullah Faisal Indrawati, Ariani Indri Juwita Asmara Indriyanti, Prastika Irdalisa Kartikawati, Eka Maesaroh Maesaroh Muhamad Wahyu Sanjaya Muhammad Efrizal Febriyan Muhammad Hafizd Ibnu Hajar Muhammad Solehuddin Al-Khawarizmi Muhammad Yudhi Rezaldi, Muhammad Yudhi Nanang Yudi Setiawan Novia Wulandari, Novia Prastika Indriyanti Prastiyo, Isnan Wisnu Putri, Rizkiya Anisyah Rahady Puji Alfiansyah Rahmi Imanda rasyidin, andi SIAGIAN, AL HAFIZ AKBAR MAULANA Suryawati, Endang Suwoyo, Heru Tobing, Afinda Juliana Wibowo, Fajar Iqbal Yuwana, R. Sandra