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Penerapan Smartpolbeng Sistem Informasi Manajemen Aset Inventaris Dan Stock Opname Di Politeknik Negeri Bengkalis Eva Yumami; Elvi Rahmi; Wiwin Saputra
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 3 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i3.1642

Abstract

Politeknik Negeri Bengkalis adalah Politeknik yang terletak Desa Sungai Alam Kabupaten Bengkalis Provinsi Riau. Politeknik Negeri Bengkalis terdiri dari 8 Jurusan dan 22 Program Studi dan 83 laboratorium. Pada saat ini pencatatan stock opname dan inventaris yang ada di dalam laboratorium di data di dalam komputer, dicatat secara manual menggunakan aplikasi Microsoft Office Word dan Microsoft Office Excel. Selanjutnya laboran, kepala laboratorium dan Pimpinan tidak dapat memantau siapa saja yang meminjam laboratorium dan barang. Hal ini karena tidak ada pencatatan history terkait peminjaman barang dan laboratorium. Maka dari itu, dibutuhkan sebuah sistem untuk mengatasi permasalahan tersebut. Untuk mengatasi permasalahan tersebut tim pengabdian masyarakat membuat dan menerapkan SMARTPolbeng Sistem Informasi Manajemen Aset Inventaris dan Stock Opname di Politeknik Negeri Bengkalis Menggunakan Teknik Labeling QR Code Berbasis Web. Aplikasi SmartPolbeng mempermudah Pengelola BMN, laboran, Kepala laboran dan Pimpinan dalam mengelola data aset BMN di Politeknik Negeri Bengkalis.
Aplikasi Marketplace Penyewaan Mobil Berbasis Website menggunakan Metode Rapid Application Development Arfando Saputra; Fajar Ratnawati; Elvi Rahmi
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.205

Abstract

Marketplace system is a means of meeting sellers and buyers online, in this case service providers and car renters. With this information system, renters no longer need to bother looking for the required car that matches the criteria, and service providers are also easier in marketing and expanding their marketing reach. This system was built using the RAD (Rapid Application Development) method of development which allows customers to place orders, select vehicles, eliminating complexity in the traditional process involving visits to rentals. In car rental services there are several problems that need to be resolved. First, there is no web-based information system service that makes it easy for customers to access car rental service company information. Second, conventional services are still fairly slow. Currently, reservations are made in two ways, namely coming to the place or contacting the telephone number on Whatsapp so that prospective tenants have to wait for a response from the rental provider to get information about prices and available cars. Therefore, a car rental information system is needed that specifically serves fleet rental with online booking to display transaction information in the form of car rental and return on the system dashboard to support strategic purposes. This research focuses on building a car rental information system using the PHP programming language with the CodeIgniter framework.
The Role of SMOTE in Enhancing Naive Bayes Classification for Major Choice Prediction Rahmi, Elvi; Yumami, Eva
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

This study examines the application of the Synthetic Minority Oversampling Technique (SMOTE) to addressclass imbalance within a dataset used for predicting high school major selection. The dataset comprises 468 traininginstances, including 306 labeled as 'IPA' and 162 labeled as 'IPS'. Despite the implementation of SMOTE, the results revealno significant enhancement in the predictive performance of the models, as both the SMOTE and non-SMOTE modelsachieved an accuracy of 100%, an F1-score of 100%, and a recall of 100%. This finding suggests that other factors, suchas the selection of relevant features, hyperparameter tuning, and model complexity, may have a more substantial impact onprediction performance. Additionally, the study proposes several recommendations for future research, includingconducting a more in-depth feature analysis, exploring alternative classification algorithms with advanced class imbalancehandling mechanisms, and performing meticulous hyperparameter optimization to improve overall model performance.
Pengembangan Sistem Pelaporan Online untuk Kasus Kekerasan Seksual: Pendekatan Extreme Programming di Bengkalis Nadiatul Husna, Mella; Profesio Putra, Fajri; Rahmi, Elvi
JATISI Vol 11 No 4 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i4.8860

Abstract

Sexual violence is a serious issue affecting women and children across various regions of Indonesia, including Bengkalis Island. Victims of sexual violence require optimal support in handling and prosecuting perpetrators. Currently, reporting requires direct visits to the Women and Children Protection Unit in Bengkalis District, which is inefficient. This study aims to create an online reporting and consultation application to enhance reporting efficiency. Extreme Programming is employed as the research method. Results indicate positive community feedback, demonstrating satisfaction with the application's ability to facilitate online reporting and consultations with the Women and Children Protection Unit in Bengkalis District, aligning with anticipated outcomes.
Sistem Pendukung Keputusan Untuk Menentukan Bibit Sawit Unggul Menggunakan Metode Analytic Hierarchy Process (AHP) Reka Rama Rani; Fajri Profesio Putra; Elvi Rahmi
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 1 (2025): Januari: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i1.567

Abstract

This research presents the development of a Decision Support System aimed at assisting in the enhancement of palm oil production using the Analytic Hierarchy Process (AHP) method. The rapid growth in the palm oil industry necessitates a scientific approach to selecting seedlings with optimal growth potential and yield. In this context, the application of artificial intelligence-based technology, such as decision support systems, is essential in the process of selecting superior palm oil seedlings. The objective of this study is to model the criteria for selecting the most superior palm oil seedlings using the Analytical Hierarchy Process (AHP) method by comparing three criteria: leaflet shape, seedling root shape, and prospective trunk size. The result of this process is a decision support system that displays the value range of each palm oil seedling variety, thus facilitating farmers in choosing the most superior seedlings.
Sistem Rekomendasi Buku di Perpustakaan Menggunakan Machine Learning dan Algoritma Apriori Jannah, Miftahul; Yumami, Eva; Julianto, Afis; Rahmi, Elvi
Jurnal Sains dan Informatika Vol. 11 No. 1 (2025): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v11i1.1868

Abstract

Perpustakaan Politeknik Negeri Bengkalis memiliki peran penting dalam mendukung kegiatan akademik mahasiswa dan dosen. Namun, pertambahan jumlah koleksi buku sering kali menyulitkan pengguna dalam menemukan buku yang relevan secara cepat dan tepat. Permasalahan ini disebabkan oleh keterbatasan sistem pencarian konvensional yang hanya mengandalkan judul atau pengarang. Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi buku berbasis algoritma Apriori guna menganalisis pola peminjaman dan preferensi pengguna. Data yang digunakan berupa riwayat transaksi peminjaman buku di perpustakaan, yang dianalisis untuk menemukan asosiasi antar buku. Hasil analisis menunjukkan adanya aturan asosiasi yang signifikan, seperti buku "Akuntansi BUMDes" yang sering dipinjam bersamaan dengan "Akuntansi Keuangan Menengah: Berbasis PSAK" dan "Analisis Laporan Keuangan". Selain itu, buku "Algoritma machine learning" kerap dipinjam bersamaan dengan "Pemrograman Python Untuk Penanganan Big Data" (confidence = 1.0, lift = 70.50) dan "Pemrograman CNC & Aplikasi Di Dunia Industri" (confidence = 1.0, lift = 47.00), menunjukkan hubungan erat antara bidang pemrograman, data, dan teknik. Nilai confidence sebesar 1.0 dan lift yang tinggi menunjukkan hubungan kuat antar buku. Temuan ini bermanfaat bagi pengelola perpustakaan dalam menyusun rekomendasi buku, strategi pengelolaan persediaan, serta pengaturan tata letak koleksi. Dengan demikian, penerapan algoritma Apriori terbukti efektif dalam meningkatkan layanan informasi dan pengalaman pengguna di perpustakaan.
Implementasi Algoritma Blowfish Untuk Pengamanan Data Transaksi Dalam Aplikasi Berbasis Website E-commerce Gunawan, Renki; Rahmi, Elvi
Techno.Com Vol. 24 No. 2 (2025): Mei 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i2.12472

Abstract

Keamanan data transaksi merupakan aspek krusial dalam sistem e-commerce, khususnya bagi pelaku usaha kecil menengah (UMKM). Penelitian ini bertujuan untuk mengimplementasikan algoritma Blowfish dengan mode Cipher Block Chaining (CBC) dan panjang kunci 160-bit guna meningkatkan keamanan data transaksi penjualan. Algoritma Blowfish dipilih karena efisien dan mendukung penggunaan Initialization Vector (IV) acak yang memperkuat proteksi terhadap serangan pattern dan dictionary. Data transaksi pelanggan dan pembayaran disimpan dalam bentuk ciphertext menggunakan OpenSSL. Pengujian dilakukan terhadap 20 data transaksi menggunakan serangan dictionary berbasis OpenSSL, dan hasil menunjukkan bahwa data tidak dapat didekripsi, membuktikan efektivitas pendekatan ini. Hasil penelitian ini menunjukkan bahwa penggunaan Blowfish CBC 160-bit dengan IV acak mampu memberikan perlindungan kuat dan efisien dalam konteks aplikasi e-commerce untuk UMKM. Kata kunci: Keamanan Data Transaksi, Blowfish CBC, Initialization Vector, E-Commerce, Dictionary Attack
PENERAPAN EXTREME PROGRAMMING PADA APLIKASI PELAPORAN AKTIVITAS DAKWAH DAI BENGKALIS Muhammad Azmi; Elvi Rahmi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025 In Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.30544

Abstract

  Dai is a person who is a social mobilization agent who helps the community in developing morals and becomes a liaison between the government and society to create a religious and harmonious life. The problems that occur in the process of reporting dai activities still use manual methods, take a lot of time, are less efficient, and are difficult to monitor in a timely manner. To solve this problem, an Android-based reporting system was created to assist dai in the reporting process. Extreme Programming was chosen as a system development method because this method is suitable for handling changing user needs. This system development uses the Laravel framework for the backend, Flutter for the frontend, and MySQL as the database. Testing is carried out using the black box testing method to ensure each feature, including reporting, user data management, and report monitoring, functions according to specifications. The research results show that the system developed is able to increase the efficiency and effectiveness of reporting on dai activities, replacing less practical manual methods. In addition, this application allows sub-district and village coordinators to compile reports in real-time, making it easier to monitor and evaluate programs.  
Penerapan Metode Waterfall Pada Aplikasi Kamus Aksara Arab Melayu Berbasis Android Nuraeni, Sitti; Rahmi, Elvi; Wahana, Desi
Insand Comtech : Information Science and Computer Technology Journal Vol 10, No 2 (2025): Insand Comtech
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53712/jic.v10i2.2850

Abstract

Bahasa merupakan sarana komunikasi penting dalam kehidupan manusia. Bahasa Indonesia sendiri berasal dari bahasa Melayu yang telah lama berperan di Asia Tenggara sejak abad ke-7 M. Salah satu bentuk warisan budaya Melayu adalah aksara Arab Melayu yang dahulu banyak digunakan, khususnya oleh masyarakat di Bengkalis. Namun, seiring perkembangan zaman dan masuknya pengaruh bahasa lain, penggunaan aksara ini semakin tergerus. Untuk menjaga kelestariannya, penelitian ini mengembangkan aplikasi kamus Aksara Arab Melayu berbasis Android. Tujuannya adalah mempermudah masyarakat dalam memahami serta menggunakan aksara tersebut. Metode yang digunakan dalam pengembangan aplikasi ini adalah Waterfall, karena menawarkan pendekatan yang sistematis dan berurutan melalui tahap analisis kebutuhan, desain, implementasi, pengujian, hingga pemeliharaan. Hasil dari penelitian ini adalah sebuah aplikasi yang dapat diakses secara luas dan diharapkan mampu mendukung pelestarian budaya lokal, khususnya aksara Arab Melayu, agar tetap dikenal dan dimanfaatkan oleh generasi masa kini maupun yang akan datang. Aplikasi ini juga menjadi media pembelajaran interaktif yang adaptif terhadap perkembangan teknologi digital.Kata kunci : Aksara Arab Melayu, Bahasa Melayu, Kamus, Metode Waterfall, Aplikasi Android.
Penerapan Teknologi Optical Characater Recognition pada Aplikasi Pemindaian Nutrisi di Label Kemasan Makanan Muhammad Suhairi; Elvi Rahmi; Eva Kurniawaty
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 1 (2025): Maret-Juni : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i1.1205

Abstract

Many consumers rarely read nutrition labels on food packaging due to difficulty understanding the information. This research develops a mobile application that can scan nutrition labels using OCR (Optical Character Recognition) technology to address this issue. The application was developed using Flutter and RAD methodology. Its main features include nutrition label scanning, health monitoring, and alerts when consumed nutrients exceed recommended limits based on age and health conditions. From testing results, OCR accuracy reached 74% for text detection and 72% for nutritional value identification. The highest accuracy of 90% was achieved under bright lighting conditions with flat labels. However, accuracy dropped dramatically to 47% with curved labels or poor lighting. Other features such as login, user profile, health monitoring, and scanning history all function properly. The developed application is expected to help consumers more easily read and understand nutritional information on food labels. Future development requires enhanced OCR algorithms to detect text more accurately under various lighting conditions and image capture angles.