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IMPLEMENTASI LOCK MAC ADDRESS PADA RT/RW NET Zaenal Mutaqin Subekti; Kikim Mukiman; Rahmadi; Verawati; Iqbal Firmansyah; Riki Aldi Pari; Fazar Sidik
Jurnal Teknologi Informasi dan Digital Vol. 1 No. 1 (2023): Teknologi Informasi dan Digital
Publisher : LPPM Universitas Bani Saleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65624/tridi.v1i1.2

Abstract

Jaringan internet pada penyedia jasa insternet memiliki koneksi yang kurang stabil sehingga para client RT/RW Net ini mengalami gangguan saat menggunakan internet, Pada jaringan RT/RW Net ini juga belum dilengkapi dengan keamanan, yang mengakibatkan client yang tidak berlangganan dapat tetap mengakses internet RT/RW Net melalui wifi yang dipancarkan oleh provider. Untuk menanggulangi permasalahan ini dapat menerapkan lock mac address pada router, supaya dapat mengamankan jaringan wifi, sehingga client yang tidak berlangganan tidak dapat terhubung ke jaringan internet RW/RT Net, pada penelitian menggunakan metode ndlc (Network Development Life Cycle) dengan 6 tahapan yaitu analysis, design, simulation prototyping, implementation, monitoring dan management. Dengan melakukan penerapan lock mac address pada router, menghasilkan client yang ingin menggunakan akses internet maka mac address harus di daftarkan terlebih dahulu pada router, supaya client dapat akses internet dan juga client tanpa harus memasukan username dan password karena sudah di daftarkan, ini menjadi memudahkan client dan menjadi pengamanan pada jaringan internet RW/RT Net.
Implementasi QR Code untuk Sistem Penyewaan Lapangan Futsal Berbasis Android Fajar Mahardika; Raden Bagus Bambang Sumantri; Rizki Ripai; Riki Aldi Pari
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp147-154

Abstract

This research aims to implement QR code technology in an Android-based futsal field rental system. The development method used is an Android-based software development method (Mobile Apps Development). QR codes are used as a medium for user identification and verification when ordering a futsal field. This system is designed to make it easier for users to make field reservations quickly and efficiently. Users can make orders via the Android application by scanning the QR code available at the futsal field location. The implementation results show that using QR codes can speed up the reservation process and reduce the possibility of data input errors. Apart from that, using this system can also improve the user experience in ordering futsal fields. It is hoped that the implementation of QR codes in this system can increase efficiency and convenience in the overall futsal field ordering process.
Implementasi dan Perancangan Sistem Informasi Penjualan Vapestore Berbasis Mobile Flutter Rizki Ripai; Yudiansyah Fauzi; Fazar Sidik; Riki Aldi Pari; Rifky Aditia Hamdan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The sale of vape products has become a rapidly growing industry, with increasing demand from a diverse range of consumers. To keep up with these developments, the existence of an efficient and easily accessible sales information system is crucial for vape store owners. This study aims to implement and design a mobile-based sales information system for Vapestore using Flutter. The system development method used in this research is the iterative software development method. Flutter was chosen as the development platform due to its ability to create mobile applications with responsive user interfaces and efficient cross-platform deployment. The designed information system will include features such as inventory management, customer management, sales report generation, and online payment integration. By using Flutter, it is expected that this application can be easily accessed through various mobile devices, such as smartphones and tablets, allowing store owners to manage their sales efficiently wherever and whenever needed. Additionally, with the online payment integration feature, customers will also experience a more convenient and faster shopping process. This research is expected to provide a positive contribution to vape store owners in improving their operational efficiency and enhancing the customer shopping experience. Furthermore, the results of this study may serve as a reference for future research in the development of more advanced sales information systems that are tailored to the continuously evolving market needs.
Sentiment Analysis of Flip Application Reviews Using DBSCAN Outlier Removal and SVM Hidayatul Ichwan; Fajar Mahardika; Ratih; Riki Aldi Pari
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 4 (2026): Research Articles October 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i4.16720

Abstract

Flip is an Indonesian financial technology application offering free interbank transfers, whose Google Play Store review column has become a large unstructured record of user experience that a development team cannot read manually. Such reviews are noisy, containing slang, repeated characters, and very short comments that behave as outliers. This study measures whether removing DBSCAN-detected outliers from the training data improves a support vector machine that assigns Flip reviews to three rating-derived categories. From 20,000 collected reviews, 15,241 remained after duplicate removal and preprocessing. The corpus was split once into stratified training and test partitions before any fitting, so that TF-IDF, the truncated singular value decomposition and DBSCAN were fitted on the training partition alone and both scenarios were evaluated on one identical held-out test set of 3,049 documents, repeated over five random seeds. Because the k-distance curve shows no pronounced knee, eps was fixed at the ninetieth percentile of that distribution, and eps and minPts were varied over a grid of nine combinations. Accuracy was 0.8023 without filtering and 0.8033 with it, a paired difference of +0.0010 with a 95 percent confidence interval of [-0.0017, +0.0038] and p = 0.347; macro F1-score moved from 0.6390 to 0.6402. No combination in the grid produced a distinguishable improvement. Of forty flagged documents inspected manually, none was genuine noise, and 91 percent of the flagged documents belonged to the majority positive class. The results give no evidence that density-based filtering benefits short-text classification.