Repository Politeknik Negeri Bengkalis eprints
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Optimalisasi Perawatan Towing Winch Menunjang Kelancaran Penyandaran Kapal Oleh KT .Bima X Di Pelabuhan Teluk Bayur
Get PDFThis researce aims to find out how to optimization towing winch maintenance in
supporting the smooth berthing of ships by KT.BIMA X This research is expected to provide recommendations that can improve ship berthing performance.this research will be carried out months from may to july 2024 end will be carried out at the PT Jasa Armada Indonesia company.the results of the research will be attached after the research activities are completed in the hope of achieving smooth berthing of the ship. The results of this research are that optimizing towing winch maintenance to support smooth berthing of ships by KT.Bima X not good on the ship
Penerapan Algoritma Naïve Bayes Untuk Analisis Sentimen Ulasan Film di IMDb:Studi Kasus pada Genre Fantasi, Aksi, dan Horor
Get PDFThis study aims to analyze user sentiment towards three film genres on IMDb: fantasy, action, and horror, using the Naïve Bayes method. It is motivated by the significant role of
digital media in transforming the film industry and the emergence of platforms like IMDb as the primary source of information for film enthusiasts. With the increasing ease of internet access and the use of social media, the number of film reviews uploaded online is growing, making film sentiment analysis essential for understanding audience responses. IMDb holds sway in shaping public opinion through user ratings and reviews. Experts have found that
IMDb ratings and reviews can influence viewers' perceptions of a film and can be used to predict the success of Hollywood box office films. Therefore, IMDb sentiment analysis provides valuable insights for the film industry to understand audience preferences. This research implements the Naive Bayes Classifier algorithm to classify sentiment
in review data. Using the provided dataset, the algorithm achieved an accuracy rate of 0.736, indicating its effectiveness in predicting sentiment. The main advantage of this research lies in the Naive Bayes algorithm's ability to produce satisfactory accuracy, precision, and recall
values, making it suitable for real-world applications. However, a limitation exists in the system's performance in identifying information in positive and negative classes, with a success rate of only 78.4%. This is attributed to the imbalance in the number of training data between positive and negative classes, where the negative and neutral classes have fewer data compared to the positive class. Therefore, future research should address the balance of training data to improve the system's performance in sentiment recognition
Perancangan Dan Penerapan Intrusion Detection System (IDS) Pada Jaringan Komputer Menggunakan Snort Dan WhatsApp Sebagai Media Notifikasi
Get PDFThis research discusses the design and implementation of an intrusion detection system (IDS) using snort and WhatsApp as notification media on computer networks. Intrusion Detection System (IDS) is a system that functions to identify and detect attacks carried out by unauthorized parties on a network. The design and implementation of this IDS uses Snort which functions as intrusion detection. However, some existing IDS systems have shortcomings in providing notifications to administrators if an attack occurs, therefore using WhatsApp as a notification medium will help administrators monitor network attacks. The research results show that IDS using Snort can identify and detect attacks and WhatsApp as a notification medium
Tugas Akhir Pelaksanaan Pengiriman Muatan Ekspor Palm Oil Mill Effluent (POME) Di Depo Peti Kemas Pelabuhan Indonesia I (Persero) Cabang Dumai PT. Segara Mitra Abadi
Get PDFTujuan penelitian tugas akhir ini adalah terkait tentang pelaksanaan pengiriman muatan ekspor palm oil mill effluent (POME) di depo peti kemas pelabuhan Indonesia I (Persero) cabang Dumai PT. Segara Mitra Abadi. Adapun permasalahan yang akan di bahas dalam tugas akhir ini mengarahkan pada bagaimana pelaksanaan pengiriman muatan ekspor palm oil mill effluent (POME), hambatan-hambatan dalam pelaksanaan pengiriman muatan ekspor palm oil mill effluent (POME) dan upaya yang dilakukan oleh perusahaan dalam mengatasi muatan yang bermasalah selama pelaksanaan pengiriman muatan ekspor palm oil mill effluent (POME). Metode yang digunakan melalui observasi, wawancara, dan dokumentasi. Teori yang digunakan adalah pelaksanaan, stripping, stuffing, palm oil mill effluent (POME), depo, penanganan peti kemas, peti kemas, dan pelabuhan. Adapun hasil dari penelitian ini bahwa pelaksanaan pengiriman muatan ekspor POME belum berjalan secara maksimal di karenakan prosedur belum berjalan dengan baik, hambatan yang terjadi pada saat melaksanakan bongkar muat sering terjadi kerusakan pada alat dan terhalang oleh rusaknya jalan di area lapangan penumpukan tersebut, serta upaya yang dilakukan perusahaan dengan meningkatkan kegiatan operasional dan rencana yang telah dibuat dapat berjalan sehingga para tenaga kerja tidak lalai dalam melaksanakan tanggung jawab dan tugasnya dengan pengawasan lebih ketat
Perancangan Sistem Deteksi Intrusi Pada Server Terhadap Serangan Brute Force Dan Distributed Denial Of Service (Ddos)
Get PDFThe intrusion detection system aims to monitor server network traffic using the Python library Scapy. The system continuously monitors both incoming and outgoing network traffic from the server and identifies suspicious activities such as Distributed Denial of Service (DDoS) and Brute Force attacks. The IDS is capable of detecting UDP Flood, TCP SYN Flood, and ICMP Flood attacks, as well as Brute Force attacks on SSH services. When a network packet is detected
as an attack, the IDS displays a message containing information about the attack. This attack message is logged and sent to Telegram via a Telegram Bot for
notification purposes. Testing results show that while attacks can still enter the server and affect memory and CPU usage, the implementation of the intrusion
detection system allows for early detection and notification of attacks, facilitating easier response actions by administrators to minimize the impact of the attacks
Perbandingan Perhitungan Volume Pekerjaan Struktur Menggunakan Autodesk Revit dengan Metode Konvensional (Studi kasus : Warehouse Biznet Padang)
Get PDFThe calculation of the volume of work is generally calculated using conventional methods, but along with the development of technology 4.0, the calculation of the volume of work is calculated using BIM (Building Information Modeling). Building Information Modeling (BIM) is able to simulate construction projects in 3D. With BIM technology, an accurate model of the building can be visualized in 3D. There is a BIM support software by Autodesk that functions for architectural, structural and mechanical, electrical and plumbing (MEP) design. In this study, the calculation of the volume of structural work was carried out using Autodesk Revit and conventional methods, then a comparison of the volume of structural work between Autodesk Revit and conventional methods was carried out in the construction of the Biznet Padang Warehouse. From the results of the research conducted, a comparison of the volume of work using conventional methods and Autodesk Revit was obtained in the construction of the Biznet Padang Warehouse, namely, Footplate Volume: 0% reinforcement 8%, Pedestal column volume: 4.9% reinforcement 0%, sloof volume: 0.3% reinforcement 3%, floor plate volume: 0.02% reinforcement: 12%, steel column volume: 0%, HWF 200x100 steel beam: 0.5% HWF 150x75: 2.1%, HWF 200x100 steel truss volume: 1.6%, steel purlin volume: 0%
Aplikasi Perpustakaan SD Negeri 33 Rupat dengan Notifikasi Bot Telegram Berbasis Website
Get PDFThe library of SD Negeri 33 Rupat requires a library application that can facilitate librarians in managing book data, member data, borrowing, and returning books, as well as having a notification feature through Telegram to
provide information about the status of book borrowing to members. This study aims to design a library application at SD Negeri 33 Rupat with the innovation of Telegram Bot notification based on a website. This application is designed to facilitate the management of book data, member data, borrowing, and returning books, as well as equipped with a notification feature through Telegram to facilitate librarians in providing information to members about the status of book borrowing. In data collection, interviews and observations were conducted. This application is designed using PHP and the Laravel framework, as well as a MySQL database. The test results show that this application functions well on various devices and browsers, which in turn accelerates the library's operational process and improves the user experience