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All Journal Akrab Juara : Jurnal Ilmu-ilmu Sosial Bulletin of Computer Science Research
Rachmawati Darma Astuti
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Medicine & Pharmacology

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IMPLEMENTASI PEMODELAN RAPID APPLICATION DEVELOPMENT DALAM PEMBUATAN ANIMASI PEMBELAJARAN APLIKASI PEMBELAJARAN SISTEM TATA SURYA Rachmawati Darma Astuti; Mustofa Mustofa
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 6 No 3 (2021): Agustus
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58487/akrabjuara.v6i3.1524

Abstract

Penyampaian melalui video animasi menjadi lebih baik dari pada teknik konvensional dalam meningkatkan pemahaman dalam berbagai hal, sehingga aplikasi berbasis animasi dapat digunakan dalam membantu prosesb belajar mengajar. Salah satu topik pembelajaran yang membutuhkan visualisasi agar materi dapat diterima dengan lebih baik adalah tentang Tata Surya. Aplikasi akan dikembangkan dengan menggunakan metode Rapid Application Develompent yang didalamnya tedapat tiga tahapan utama diantaranya requerment planning, design workshop dan juga implementasi. Hasilnya dengan menggunakan metode Rapid Appication Development ini aplikasi pembelajaran Tata Surya ini dapat selesai dengan cepat dan berjalan dengan sangat baik.
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.
COMPARISON OF FIBER TO THE HOME NETWORK ATTENUATION USING OPTICAL POWER BUDGET AND LINK POWER BUDGET Lailatul Qodariyah; Rachmawati Darma Astuti
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 10 No. 3 (2025): Agustus
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Cileungsi Hijau Residential Area in Bogor Regency has adopted Fiber To The Home (FTTH) technology to meet the increasing demand for high-speed internet access. However, high attenuation remains a technical issue that may affect service quality. This study aims to compare signal attenuation in FTTH networks using two approaches: direct measurement with an Optical Power Meter (OPM) and theoretical estimation using the Link Power Budget (LPB) method. Measurements were conducted at nine Optical Distribution Point (ODP) locations to assess network feasibility based on the EPON standard threshold (-28 dBm). The results showed that eight of the nine ODP points were above the minimum threshold and deemed feasible. Several points, such as ODP B1, B3, C1, and C2, even had better OPM results than LPB estimates, indicating optimal physical installation. However, ODP D1 showed a received power of -28.99 dBm, falling below the standard and declared unfit. This comparison indicates that while LPB is effective as an initial reference, OPM measurements provide more accurate, real-time insights into actual network performance and are essential for early detection of potential disruptions.
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.
Co-Authors Achmad Ridduan Ainun Zumarniansyah Aminuyati Arina Selawati Deny Novianti Lailatul Qodariyah Yan Rianto