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All Journal Journal of Telematics and Informatics Jurnal Informatika Indonesian Journal on Software Engineering (IJSE) Jurnal Teknik Komputer AMIK BSI INTERACTION: Jurnal Pendidikan Bahasa Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Sistem Informasi Bulletin of Computer Science Research
Arina Selawati
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology

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Analisis Sentimen Berita Online Terhadap Transportasi Online di Indonesia dengan Metode Naïve Bayes Classifier, Support Vector Machine dan K-Nearest Neighbor Selawati, Arina; Yan Rianto; Rachmawati Darma Astuti; Ainun Zumarniansyah; Deny Novianti
Bulletin of Computer Science Research Vol. 5 No. 2 (2025): February 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i2.477

Abstract

News about online transportation in Indonesia in 2019 until early 2020 has been published in various Indonesian online media, because there is enough information in the form of text without numerical scale, it is difficult to classify information information efficiently without reading the full text. Sentiment analysis is used to automate the process of assessing opinion whether it is positive or negative. Classifying sentiments on news from online news media with the Text Mining process and using the method of increasing the Classification Accuracy / Ensemble Method of Engineering by combining the classification algorithm naïve bayes method, classifier Supporting vector machines and k-nearest neighbors added with the Particle Swarm Optimization method and Vote method The next will be a comparative analysis. The results of the study above get an SVM exam accuracy value even after using the PSO selection feature with the ensemble. Select is still appropriate at 84.16%, Likewise for NB algorithm which gets 79.08% and KNN which gets approval 87.19%. These words will be used to see words related to sentiments that often appear and have the highest weight and can be used to find out positive news articles and negative news articles. And for this research the model that uses KNN algorithm gets the highest accuracy.
IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISA PEMILIHAN TIPE KARAKTER PADA PERMAINAN MOBILE LEGEND Mustofa; Arina Selawati; Meirina Suci Ridha; Kurani Mega Asteroid
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 9 No. 1 (2024): Februari
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Meningkatnya persaingan dalam industri video game menuntut para pengembang untuk meningkatkan daya tarik video game agar dapat bertahan dan bersaing. Salah satu jenis video game yang persaingannya ketat saat ini adalah MOBA(Multiplayer Online Battle Arena) game yang merupakan permainan yang bersifat real time yang dimainkan dengan kerjasama tim. Salah video game MOBA yang sedang ikut bersaing dalam memperebutkan konsumen saat ini yaitu Mobile Legend. Salah satu cara untuk meningkatkan daya tarik game MOBA adalah dengan pemanfaatan data pemilihan tipe karakter yang dimainkan oleh para pemain video game. Dengan data tersebut kita bisa menganalisa tipe karakter apa yang paling banyak dimainkan oleh player. Sehingga pihak pengembang bias menentukan tipe karakter yang akan release berikutnya. Dengan Algoritma Apriori, pengolahan data dan informasi nantinya akan dapat membat developer untuk menentukan karakter apa yang harus dipersiapkan untuk release, perencanaan strategi release karakter bisa disusun berdasarkan pola pemilihan tepi karakter para pemain
IMPLEMENTASI FAILOVER CLUSTERING SERVER UNTUK MENGURANGI RESIKO DOWNTIME PADA WEB SERVER Abdul Hakim; Meirina Suci Ridha; Sujiliani Heristian; Arina Selawati; Pradnya Paramita
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 9 No. 3 (2024): Agustus
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Penerapan web server dalam dunia perkantoran belakangan ini menjadi hal yang cukup penting, sebagai akibat adanya perkembangan aplikasi-aplikasi pendukung konvensional (Desktop-Based Application) yang sudah mulai bergeser menuju ke aplikasi berbasis web (Web-Based Applications). Dalam kenyataannya, penerapan web server di suatu perusahaan tidak cukup dengan hanya satu web server, untuk efektifitas kerja dari web server itu sendiri. Oleh karena itu, pada penelitian kali ini penulis mencoba untuk menerapkan teknik failover pada high availability clustering web server. Berdasarkan metode penelitian yang telah penulis lakukan dimulai dengan analisa kebutuhan, desain, testing hingga implementasi dan pengumpulan data dengan cara observasi, wawancara, dan studi pustaka, maka penerapan teknik failover pada high availability web server clustering adalah sebagai upaya untuk meminimalisir kegagalan akses yang mungkin terjadi kapan saja mengingat keadaan perangkat yang harus standby setiap saat, dimana nantinya setelah teknik ini diterapkan, maka saat server utama mengalami kegagalan akses pada aplikasi di dalam web server, akses tersebut secara otomatis akan di alihkan ke server ke-dua.
IMPLEMENTING A MIKROTIK RECURSIVE FAILOVER SYSTEM TO ENSURE INTERNET NETWORK AVAILABILITY AT PT. OMEGA MEDIA GLOBAL Achmad Ridduan; Rachmawati Darma Astuti; Arina Selawati
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 10 No. 3 (2025): Agustus
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

The availability of a stable internet connection is essential for maintaining smooth business operations, especially in digital-based companies like PT. Omega Media Global. Relying solely on a single internet connection creates a major risk, as any disruption may halt the entire workflow. To address this issue, this study implements a network system using the failover recursive gateway method on Mikrotik devices. This system is designed to automatically monitor the stability of the primary internet link and seamlessly switch to a backup connection in the event of a failure, based on preconfigured priorities and connection speed. The implementation results indicate that the system successfully performs automatic failover without manual intervention, effectively reducing downtime and maintaining connection stability. The application of this method has proven to significantly improve network reliability and operational efficiency, enabling the company to continue its digital activities without interruption during internet failures.
IMPLEMENTATION OF LOCAL AREA NETWORK SECURITY USING THE SITE ACCESS BLOCKING METHOD ON LAYER 7 PROTOCOL MIKROTIK RB 941-2ND Arina Selawati; Rizka Dahlia
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 11 No. 1 (2026): Februari
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58487/akrabjuara.v11i1.2761

Abstract

Computer networks are a highly sought-after service today. A computer network is a connection that allows two or more devices to physically or logically communicate with each other to exchange data and information. Managing a local area network (LAN) is one alternative solution to this problem to achieve optimal service. A key consideration in managing a local area network is network security, which involves regulating and restricting user access to websites. This aims to improve security and prevent network access from heavy traffic, caused by unproductive website access during work hours, excessive bandwidth usage, and the threat of cyberattacks. One network device that has features for implementing or activating computer network security is the MikroTik router. MikroTik firewalls contain Layer 7 Protocols, which contain parameters such as protocol, destination port, source port, and content. If traffic separation is not possible, we can consider using the Layer 7 Protocol or L7-protocol feature.
Co-Authors Abdul Hakim Achmad Ridduan Ade Setiawan Ainun Zumarniansyah Ali Djamhuri Aminuyati Astuti, Rachmawati Darma Deny Novianti Eka Herdit Juningsih Eka Kusuma Pratama Faddillah, Umi Ilham Nur Leksono Ipin Sugiyarto Kurani Mega Asteroid Kurani Mega Asteroid Meirina Suci Ridha Meirina Suci Ridha Musriatun Napiah Mustofa Mustofa Mustofa Mustofa Nanik Wuryani Pradnya Paramita Rachmawati Darma Astuti Rachmawati Darma Astuti Rahmawati Dharma Astuti Rizka Dahlia Robi Aziz Zuama Sri Hadianti Sujiliani Heristian Syarah Seimahura Tommi Alfian Armawan Sandi Umi Faddillah Umi Faddillah Waeisul Bismi Windu Gata Yan Rianto