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All Journal Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) IJISTECH (International Journal Of Information System & Technology) KOMPUTEK JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Informatika Kaputama (JIK) JIKA (Jurnal Informatika) JUKI : Jurnal Komputer dan Informatika Akrab Juara : Jurnal Ilmu-ilmu Sosial IJISTECH Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Teknik dan Science (JTS) Golden Ratio of Data in Summary Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Jurnal Intelek Dan Cendikiawan Nusantara
Astrid Noviriandini
Universitas Bina Sarana Informatika
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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LAN Bandwidth Management Using the Queue Tree Method Safinatunnaza, Salwa; Noviriandini, Astrid; Indriyani, Luthfi; Fauziah, Sifa
Golden Ratio of Data in Summary Vol. 5 No. 1 (2025): November - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v5i1.887

Abstract

The advancement of technology, particularly in computer networks, has enabled global connectivity through the Internet. Computer networks connecting various devices allow for information sharing and communication. One common issue is slow internet speed due to suboptimal bandwidth utilization. To address this issue, bandwidth management becomes crucial, especially in managing multiple applications at PT. XYZ, bandwidth management is implemented using a Mikrotik router using the Queue Tree method. This method allows for flexible and fair bandwidth allocation, ensuring every device has a stable internet connection. This method helps enhance efficiency and ensures bandwidth allocation is aligned with user needs, resulting in smooth and evenly distributed connectivity across the network.
APPLICATION OF THE BERT MODEL IN MEASURING USER PERCEPTION OF THE MAGIC INVESTMENT APPLICATION ON THE GOOGLE PLAY STORE Tabina Fasya Benedicta; Ade Setiawan; Luthfi Indriyani; Astrid Noviriandini; Sandra Dewi Saraswati
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 10 No. 4 (2025): November
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Investment is one of the most effective ways to achieve long-term financial gains. Nowadays, numerous digital platforms offer investment services, including the Ajaib application. The growing public interest in investing has been driven by influencers and online advertisements, yet it has also led to the rise of fraudulent schemes and fake investment platforms. Therefore, evaluating user satisfaction through sentiment analysis of application reviews becomes essential. This study aims to analyze user sentiments toward the Ajaib investment application based on reviews collected from the Google Play Store. The dataset consists of Indonesian-language reviews from the period 2019–2024, processed using Google Colab and the BERT (Bidirectional Encoder Representations from Transformers) algorithm. The classification results yielded 1,393 reviews, comprising 696 positive and 697 negative sentiments, indicating that negative opinions were slightly more dominant. The model achieved an accuracy of 85%, F1-score of 85%, recall of 85%, and precision of 87%, demonstrating that the BERT algorithm performs effectively in sentiment analysis for investment-related applications.
Pengembangan Aplikasi Web untuk Resize Citra Digital dengan Fitur Batch Processing Menggunakan Next.Js dan Sharp Waeisul Bismi; Muhammad Qomaruddin; Nila Hardi; Musriatun Napiah; Astrid Noviriandini
KOMPUTEK Vol. 10 No. 1 (2026): April
Publisher : Universitas Muhammadiyah Ponorogo

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Abstract

The exponential growth of digital content has increased the demand for efficient and accessible image processing tools. This research aims to develop a web-based image resize application with batch processing features using Next.js and Sharp. The research method employs Research and Development (R&D) with a Software Development Life Cycle (SDLC) approach using the Waterfall model, encompassing requirements analysis, system design, implementation, testing, deployment, and maintenance phases. The application was developed by integrating Next.js 16 framework for full-stack development, Sharp library for high-performance image processing, and JSZip for archive handling. Implemented features include flexible upload (file, folder, ZIP), downsampling and upsampling options, pixel dimension input, JPEG/JPG/PNG format conversion, and batch processing with progress monitoring. Testing results demonstrated that 100% of features were successfully implemented with a functional testing success rate of 100%. The average response time achieved 1.76 seconds per image, 41% faster than the 3-second target. The quality of the test results shows that the quality of the resized images meets very good quality standards with high structural similarity to the original images for both downsampling and upsampling. This research has produced a web application for image resizing that is accessible without installation, efficient for batch processing, and produces optimal output quality by utilizing the Mitchell interpolation kernel for downsampling and Lanczos for upsampling
Optimasi Performa Gigabit Passive Optical Network Menggunakan Naive Bayes Dalam Analisis Kualitas Jaringan FTTH Alwi Alfian Anwar; Astrid Noviriandini
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 3 No. 04 (2026): AGUSTUS - SEPTEMBER 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Perkembangan teknologi informasi mendorong meningkatnya kebutuhan akan layanan internet yang cepat dan stabil melalui teknologi Fiber to the Home (FTTH) berbasis Gigabit Passive Optical Network (GPON). Namun, peningkatan nilai redaman (attenuation) pada jaringan sering menyebabkan penurunan kualitas layanan. Penelitian ini bertujuan mengoptimalkan performa jaringan GPON melalui klasifikasi kualitas jaringan FTTH menggunakan algoritma Naive Bayes. Metode penelitian dilakukan dengan mengumpulkan 428 data log redaman jaringan dari aplikasi Tableau dan Address Verification System (AVS) pada PT. Cahaya Adikarya Perkasa dengan kriteria jarak 1 km dari Optical Line Terminal (OLT). Data kemudian melalui proses pembersihan (data cleaning) dan peabelan manual ke dalam dua kategori, yaitu OK apabila nilai RX Power memenuhi standar toleransi dan Not OK apabila berada di bawah standar. Selanjutnya, model klasifikasi dibangun dan diuji menggunakan perangkat lunak RapidMiner dengan pembagian data sebesar 70% sebagai data latih dan 30% sebagai data uji. Hasil penelitian menunjukkan bahwa algoritma Naive Bayes mampu mengklasifikasikan kualitas jaringan FTTH secara efektif serta memberikan deteksi dini terhadap potensi degradasi sinyal sebelum terjadi loss. Dengan demikian, penerapan algoritma Naive Bayes dapat meningkatkan efisiensi proses optimasi performa jaringan dan mendukung teknisi dalam pemeliharaan infrastruktur telekomunikasi berbasis GPON secara lebih cepat dan akurat.
Co-Authors Ade Setiawan Ahmad Nuryanto Aliyah Kurniasih Aloysius Kurniawan Santoso Aloysius Kurniawan Santoso Santoso Alwi Alfian Anwar Bachtiar, Denny Bagus Dwi Wicaksono Bagus Dwi Wicaksono Diah Ayu Ambarsari Diah Ayu Ambarsari Diah Ayu Ambarsari Didy Eriawan Fahmi Aprian Hermanto Hermanto Hermanto Hermanto Indradewa, Rhian Khadapi, Muammar Kurniawati Kurniawati Luthfi Indriyani Maryanah Safitri muhammad qomaruddin Musriatun Napiah Nila Hardi Novianti, Aldhila Nurajijah Nurajijah Nurwijayanti Popon Handayani Renita Windy Astuti Roni Andarsyah Safinatunnaza, Salwa Sandra Dewi Saraswati Sari, Anggi Puspita Septyani, Herlina Siti Lestari Syahriani Syahriani Tabina Fasya Benedicta Waeisul Bismi Yudhis tira Yudhistira Yudhistira