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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Sains dan Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Pengabdian Masyarakat dan Riset Pendidikan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Teknik Informatika dan Teknologi Informasi
Elvi Rahmi
Politeknik Negeri Bengkalis
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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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.
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): 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 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.
Peningkatan Kapasitas Pemasaran UMKM Melalui Media Promosi Berbasis Augmented Reality (AR): Pengabdian Rahmi, Elvi; Rambe, Armita Novriana; Angrayni, Septi Ayu
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3940

Abstract

Program pengabdian ini bertujuan untuk meningkatkan kapasitas pemasaran dan pengelolaan keuangan UMKM melalui penerapan teknologi Augmented Reality (AR) dan pelatihan literasi keuangan. Mitra kegiatan adalah BUMDes Kuala Alam, sebuah Badan Usaha Milik Desa yang berada di Desa Kuala Alam, Kecamatan Bengkalis, Riau, yang berfungsi untuk mendongkrak perekonomian desa melalui berbagai usaha, seperti produksi olahan ikan, penanaman nanas, dan pengelolaan sumber daya lokal.Kegiatan dilaksanakan dalam lima tahap: sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan strategi keberlanjutan. Teknologi AR diterapkan dalam bentuk label interaktif berbasis WebAR yang menampilkan video promosi dan narasi produk. Hasil observasi menunjukkan bahwa mitra mampu mengadopsi teknologi secara bertahap, dengan respon positif terhadap peningkatan daya tarik kemasan dan promosi digital. Dalam aspek keuangan, pelatihan dilakukan untuk memperkuat pemahaman mitra terhadap pencatatan usaha, analisis HPP, dan perhitungan keuntungan. Evaluasi melalui pre-test dan post-test menunjukkan peningkatan rata-rata nilai dari 71,2 menjadi 90,4. Peningkatan ini mengindikasikan keberhasilan pendekatan praktik langsung dalam membangun literasi keuangan UMKM. Secara keseluruhan, program ini menunjukkan bahwa integrasi teknologi promosi berbasis AR dan penguatan kapasitas keuangan dapat mendorong transformasi digital dan kemandirian usaha di tingkat desa.
Penerapan Algoritma Knuth Morris Pratt untuk Mendeteksi Tingkat Plagiarisme pada Tugas Mahasiswa Erisya Herlina; Elvi Rahmi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 1 (2025): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i1.5154

Abstract

The rapid development of information technology has made it easier to access various sources of information, but it has also increased the risk of plagiarism, especially among university students. To maintain academic integrity and the quality of education, plagiarism detection is essential. This study aims to develop a plagiarism detection system using the Knuth-Morris-Pratt (KMP) algorithm combined with the Jaccard Similarity method to measure the similarity between documents. The system is designed to analyze Indonesian-language essay documents in Word (.docx) and PDF (.pdf) formats that do not contain images or tables. The detection process begins with data preprocessing steps, including case folding, tokenizing, stopword removal, and stemming, to enhance efficiency and accuracy. The system is developed using the Python programming language and the Flask framework. Test results show that the system can detect plagiarism with an average accuracy of 98.66%. The level of similarity between documents is then categorized into three levels: Minor, Moderate, and Severe Plagiarism. This system is expected to serve as an effective tool in minimizing plagiarism practices in higher education and supporting the creation of an honest and responsible academic culture.
Analisis Sentimen Ulasan untuk Menentukan Kualitas Produk Terbaik E-Commerce (Tokopedia) Menggunakan Algoritma Naive Bayes Syahlan Ardiawal; Elvi Rahmi; Eva Kurniawaty
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6482

Abstract

The development of e-commerce in Indonesia, particularly Tokopedia, has led to an increase in the number of reviews given by consumers after making a purchase. These reviews consist of positive and negative opinions that can be used to assess product quality. However, the high volume of reviews makes manual analysis ineffective. This study aims to classify product review sentiment on Tokopedia using the Naïve Bayes algorithm to determine the best product quality from several stores selling similar items. The Naïve Bayes algorithm was chosen because of its good classification capabilities and efficiency in text data processing. The results show that Naïve Bayes is capable of classifying reviews as positive or negative with an average accuracy of 95% on the test data. Testing per store also yielded consistent results with an accuracy of around 90%. Furthermore, the sentiment results were converted into quality metrics with the categories Good, Fair, and Poor. Products at Store A scored 85% and Store B scored 80%, so both were categorized as Good, with Store A being more recommended. This study shows that Naïve Bayes-based sentiment analysis is effective for assessing product quality and provides insights for sellers to improve their services.
Rancang Bangun E-Helpdesk Kampus Menggunakan Metode Agile Zidni Ilman Wahyudi; Elvi Rahmi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6510

Abstract

Politeknik Negeri Bengkalis, which serves thousands of students, frequently receives complaints regarding facilities and infrastructure, often managed manually through the Student Affairs Department due to the lack of a dedicated campus complaint feature. This traditional method results in unrecorded complaints and slow processing. To address this, an effective and transparent system is necessary to improve service quality and student satisfaction. The purpose of this study is to design and build an E-Helpdesk Campus application for mobile platforms using the Agile development method. The system was developed through two main iterations, focusing on features like complaint submission with categorization, status monitoring, and user management for campus staff/admin. The application was built using the Flutter framework. Based on the results of Black Box Testing, the E-Helpdesk Campus system was successfully implemented and operates effectively, replacing the manual process. The system successfully records complaints in a structured manner, allows students to monitor progress, and is proven to be user-friendly, thereby achieving the research objectives of creating an effective and transparent student complaint system.
Co-Authors Angrayni, Septi Ayu Erisya Herlina Eva Kurniawaty Eva Kurniawaty Fajri Profesio Putra Gunawan, Renki Julianto, Afis Miftahul Jannah Muhammad Azmi Muhammad Suhairi Rambe, Armita Novriana Reka Rama Rani Syahlan Ardiawal Wiwin Saputra Yumami, Eva Zidni Ilman Wahyudi