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All Journal Jurnal Teknik Informatika Proceeding Applied Business and Engineering Conference Jurnal Penelitian Rumpun Ilmu Teknik SATIN - Sains dan Teknologi Informasi Jurnal Elektronika dan Teknik Informatika Terapan
Ryci Rahmatil Fiska
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Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Penerapan Teknik Data Mining dengan Metode Support Vector Machine (SVM) untuk Memprediksi Siswa yang Berpeluang Drop Out (Studi Kasus di SMKN 1 Sutera) Ryci Rahmatil Fiska
SATIN - Sains dan Teknologi Informasi Vol 3 No 1 (2017): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.963 KB) | DOI: 10.33372/stn.v3i1.200

Abstract

Drop out adalah suatu keadaan di mana siswa diberhentikan dari sekolah karena beberapa alasan yang mengharuskan siswa untuk di drop out . faktor drop out seperti absen yang telah melebihi batas maksimal, nilai yang kurang dari batas bawah yang telah ditentukan pihak sekolah dan prilaku siswa yang sudah melanggar nilai attitude yang telah diterapkan oleh pihak sekolah. Dalam penelitian ini penulis ingin memprediksi siswa yang berpeluang drop out dengan menggunakan metode SVM dan diharapkan mampu memprediksi masalah drop out apakah siswa akan lanjut ke semester selanjutnya atau di drop out karena beberapa alasan. Dan hasil yang disimpulkan adalah metode SVM mampu memprediksi siswa yang berpeluang drop out.Kata kunci : Support Vector Machine, Kernel Trick, Drop Out.
Perancangan Aplikasi Sistem Pendataan Penerima Pasar Murah Menggunakan Metode Extreme Programming M Aji Fatroni; Ryci Rahmatil Fiska
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 3 (2024): Agustus : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i3.4244

Abstract

The Cheap Market activity is one of the programs launched by the Bengkalis government to deal with price inflation of basic commodities which usually occurs during religious holidays such as Eis al-Fitr as well as Christmas and New Year. In implementing this program, there ware many difficulties and obstacles faced by the Bengkalis Trade and Industry Service as the implementer of cheap market activities. To deal with the obstacles currently being faced, the author created a website-based Cheap Market Data Collection System Application (SIPEMURAH). The SIPEMURAH application was created using the extreme programming method whichhas 4 stages, namely planning, design, coding dan testing. By using this method the developer must be prepared for changes to be made if the application being built does not meet the user’s widhes, then testing is carried out using the Blackbox testing technique to get good result.
Network Attached Storage (NAS) Berbasis Raspberry Pi Di Laboratorium Jaringan Komputer Politeknik Negeri Bengkalis Wahyat; Ryci Rahmatil Fiska; Vika Fauziah; Ryan Aprizar
ABEC Indonesia Vol. 10 (2022): 10th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Computer laboratories at universities, especially vocational campuses, are very important because they function as a support for practicum courses. Today's data storage systems continue to grow, one of which is network attached storage (NAS), NAS is a storage device system that is connected to a computer network that uses the system. special operations to serve the needs of files and data files. In this study, a NAS-based centralized data storage system with Raspberry Pi will be built to support lectures in a computer network laboratory, currently the distribution process for lecture materials is carried out with a flash drive so that it is less effective and efficient, so a NAS is proposed in order to facilitate data exchange between lecturers and students. , students can access lecture materials that have been shared by lecturers and can collect practical reports on practical results. The NAS system that was built can be accessed via a personal computer/laptop with each student's name on the local network in the computer network laboratory
Intrusion Detection System (Ids) Menggunakan Raspberry Pi 4 dengan Snort Studi Kasus : Laboratorium Jaringan Komputer Politeknik Negeri Bengkalis wahyat, Wahyat; Ryci Rahmatil Fiska; Dedi Hermawan
ABEC Indonesia Vol. 11 (2023): 11th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

Server security on a computer network is very important, maintaining computer network security in order to maintain information, data and maintain infrastructure so that it can work and function properly and provide access rights to registered users, this study aims to build an Intrusion Detection System (IDS) on networks and servers using Raspberry Pi 4 with SNORT which is useful for monitoring Server activities when an attempted attack occurs by sending notifications to BOT Telegram via the administrator's cellphone in realtime, this system is tested with three attack scenarios namely, PING Attack, Port Scanning, and DOS / DDoS Attack. From the results of testing attacks, Snort can detect and provide alerts that will be stored in the Snort Log and forwarded to the Telegram BOT notification in real time.   Keywords: Raspberry pi, Server, IDS, Snort, Bot Telegram
Metode Prototipe Aplikasi Klasifikasi Pengaduan Masyarakat Menggunakan Algorithma Naive Bayes Berbasis Website Muhammad Aidil Adham; Ryci Rahmatil Fiska; Muhammad Asep Subandri
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 2 No. 4 (2024): Desember: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v2i4.849

Abstract

Information technology plays a crucial role in improving public services, particularly in handling citizen complaints. Citizens often face obstacles in reporting complaints due to complex bureaucracy and limited access. To address these issues, this study aims to develop a web-based citizen complaint classification application using the Naïve Bayes algorithm. The application is designed to automatically classify complaints and direct them to the appropriate agencies, such as the Fire Department (DAMKAR), Public Works Department (DPU), and Regional Drinking Water Company (PDAM). The Naïve Bayes algorithm is utilized for its ability to calculate probabilities and produce accurate classifications. The application was developed using the prototype method, which allows for iterative processes and adjustments based on user feedback. System testing demonstrates that this application functions well and meets the needs of relevant agencies in efficiently handling public complaints.
Sistem Pakar Diagnosa Penyakit pada Tanaman Akasia Menggunakan Metode Forward Chaining Nursila Marlinda; Ryci Rahmatil Fiska
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 1 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i1.981

Abstract

Akasia termasuk salah satu tanaman yang rentan diserang penyakit, oleh karena itu penanganan yang cepat dan tepat sangat penting dilakukan untuk menjaga kualitas tanaman ini. Kurangnya pemahaman pekerja untuk bisa mendiagnosa penyakit tanaman tanpa bantuan seorang pakar menjadi masalah utama untuk dapat menemukan alternatif penyelesaiannya. Melalui sistem pakar, ilmu yang dimiliki oleh seorang pakar dituangkan dan dimanfaatkan dalam bentuk sistem diagnosa sehingga dapat membantu pekerja untuk mengetahui jenis penyakit apa yang menyerang tanaman akasia, tanpa harus menunggu dan mengharapkan jawaban langsung dari ahli. Dalam penelitian ini, penulis menggunakan metode Forward Chaining. Metode Forward Chaining merupakan metode dengan teknik pelacakan kedepan yang dimulai dengan informasi yang ada dan penggabungan rule untuk menghasilkan suatu kesimpulan atau tujuan. Sehingga berdasarkan gejala yang dialami tanaman, pekerja dapat segera melakukan tindakan penanganan. Penelitian menghasilkan sebuah sistem pakar yang mampu meniru kerja ahli untuk dapat mendiagnosa penyakit tanaman akasia dan memberikan solusi dari penyakit tersebut.
Co-Authors Dedi Hermawan M Aji Fatroni Muhammad Aidil Adham Muhammad Asep Subandri Nursila Marlinda Ryan Aprizar Vika Fauziah Wahyat wahyat, Wahyat