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Arie Vatresia
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INDONESIA
Rekursif: Jurnal Informatika
Published by Universitas Bengkulu
ISSN : 23030755     EISSN : 27770427     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Rekursif adalah jurnal ilmiah yang diterbitkan oleh Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu. Rekursif menerima artikel ilmiah dengan topik; Informatika, Sistem Informasi, dan Teknologi Informasi dari peneliti, dosen, guru, dan mahasiswa. Rekursif diterbitakan secara berkala setiap bulan Maret dan November berdasarkan hasil peer-reviewed. ISSN 2303-0755
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 222 Documents
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Implementasi Metode Naïve Bayes Dalam Sistem Pakar Diagnosis Penyakit Pada Itik Mojosari Andreswari, Desi; Suteky, Tatik; Epana Sari, Renti
Rekursif: Jurnal Informatika Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i2.32507

Abstract

Mojosari ducks are a type of duck that has potential as an egg producer, so many duck breeders are interested in it. Delays in treating disease in Mojosari ducks can result in various losses, such as decreased egg quality and quantity, disease transmission to other ducks, and can cause death of the ducks. Therefore, researchers built an expert system that can carry out quick and accurate diagnoses of duck diseases as well as correct countermeasures. This system was built by applying the Naïve Bayes method to an expert system to diagnose Mojosari duck disease by calculating the prior probability value of each disease based on input of symptoms that appear in the ducks. This system can detect 10 types of diseases and 40 symptoms that attack Mojosari ducks. This research was carried out with 30 test data and resulted in a system accuracy of 90%. Keywords: Mojosari Ducks, Diseases, Diagnose, Ducks, Expert Systems, Naïve Bayes.
Pengelompokan Kebutuhan Anggaran Negara Berdasarkan Indikator Ekonomi dan Kesehatan Menggunakan Fuzzy C-Means dan PCA Fachrurrozi, Muhammad; Muhammad, Fadzli; Sitepu, Delvi Nur Ropiq; Pratama, Reksi Hendra
Rekursif: Jurnal Informatika Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i2.38096

Abstract

Clustering the national budgets based on the economic and health indicators is another strategic approach that has been used to improve the effective planning of budget allocation. In this study, FCM will be applied for clustering budget data based on economic and health indicators across the regions. To reduce high-dimensional data complexity, in this paper, pre-processing data analysis will be done using PCA. Basically, PCA works by reducing data dimensions through the extraction of major factors that provide the greatest contribution to the variance of the data, thereby making the process of clustering using FCM feasible. The results derived from the analysis will indicate that the integration of PCA into FCM derives more accurate and informative clustering results and helps policymakers in devising appropriate strategies for budget allocations. Consequently, such findings are envisioned as adding to the positive development of enhancing efficiency and effectiveness in national budget allocation.
Pengelompokan Fuzzy Pengelompokan Pelanggan Pusat Perbelanjaan Menggunakan Algoritma Fuzzy C-Means Depriansyah, Yebi; Ardiansyah, M. Febri; Mezi; Rinaldi, M. Kevin
Rekursif: Jurnal Informatika Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i2.38100

Abstract

Customer segmentation is a crucial strategy for understanding consumer behavior and improving marketing efforts. This research aims to classify mall customers based on demographic data and shopping behavior using the Fuzzy C-Means (FCM) algorithm. The dataset employed is the "Mall Customer Segmentation Data," containing information such as age, gender, annual income, and spending score. The FCM algorithm groups customers into clusters based on data similarity, considering the fuzzy membership value for each customer. The results are expected to provide deeper insights into the characteristics of each customer group, assisting mall management in developing more targeted marketing strategies. The study will also discuss the interpretation of each cluster and the evaluation of the FCM algorithm's performance in the context of customer segmentation.
Analisis Klaster Negara Berdasarkan Indikator Sosial-Ekonomi Menggunakan Fuzzy C-Means dan K-Means Sulaiman, Davi; Afrian Al-Haritz, Rafi; Ahmad Saputra, Fahim; Irawan, Ade
Rekursif: Jurnal Informatika Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i2.38116

Abstract

This paper analyzes country clustering based on socio-economic indicators using Fuzzy C-Means (FCM) and K-Means algorithms. Each country has unique socio-economic characteristics that include aspects such as child mortality, exports, imports, per capita income, inflation, life expectancy, and gross domestic product. The dataset used includes 167 countries with 10 key indicators. After pre-processing and normalizing the data, clustering is performed using FCM and K-Means, where effectiveness is evaluated based on Sum of Squared Errors (SSE) and Silhoutte Score. This research aims to find the best algorithm in terms of accuracy and time efficiency in clustering countries based on socio-economic indicators. Keywords: Clustering, Fuzzy C-Means, K-Means, Socio-economic indicators, Sum of Squared Errors (SSE), Silhouttte Score.
Implementasi Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Prioritas Penanganan Genangan Banjir Salsabila, Elvina; Utama, Ferzha Putra; Sari, Julia Purnama
Rekursif: Jurnal Informatika Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i2.39532

Abstract

Banjir atau genangan merupakan peristiwa dimana air melimpah atau menggenangi daratan atau lahan yang semestinya kering yang menyebabkan kerugian ekonomi bagi penduduk. Salah satu tujuan penelitian ini yaitu mengetahui hasil dari implementasi metode MOORA pada sistem pendukung keputusan penentuan prioritas penanganan genangan banjir berbasis web. Kriteria yang digunakan pada penelitian ini meliputi kedalaman genangan, luas genangan, lama genangan, dan frekuensi genangan kriteria kerugian ekonomi, kriteria gangguan sosial dan fasilitas pemerintah, kriteria kerugian dan gangguan transportasi, kriteria kerugian pada daerah perumahan, serta kriteria kerugian hak milik dan pribadi. Metode MOORA adalah salah satu metode yang diperkenalkan oleh Brauers dan Zavadskas pada tahun 2006. Berdasarkan penelitian yang telah dilakukan disimpulkan bahwa Kelurahan Rawa Makmur mendapatkan rangking 1 dengan nilai Yi 0.235556 dan rangking 30 yaitu Kelurahan Betungan dengan nilai Yi 0.13033. Hasil pengujian keakuratan sistem yang mendapatkan akurasi sebesar 100% dan pengujian black box dengan akurasi 100%. Kata Kunci: Banjir, Sistem Pendukung Keputusan, Metode MOORA.
Sistem Informasi Jurnal Mengajar Studi Kasus SMA Negeri 3 Kota Bengkulu Zarah Juaita, Aisyah Amelia; Saputri, Dian Ardiyanti; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.39609

Abstract

SMA Negeri 3 Kota Bengkulu masih melakukan pencatatan kegiatan pembelajaran secara manual sehingga kurang efisien dalam pelaksanaan dan dokumentasi kegiatan belajar mengajar. Untuk meningkatkan pengelolaan jurnal mengajar di SMA Negeri 3 Kota Bengkulu, maka dikembangkan Sistem Informasi Jurnal Mengajar berbasis website agar dapat mempermudah dalam proses pengelolaan data pembelajaran dan mengoptimalkan pencatatan jurnal mengajar. Dengan menggunakan framework Laravel dan metode waterfall sebagai metode pengembangan sistem, diperoleh sebuah sistem informasi dengan pengujian blackbox dengan tingkat keberhasilan yang tinggi. Sistem informasi yang telah diuji menggunakan metode blackbox menunjukkan bahwa setiap fitur-fitur yang disediakan mampu mempermudah proses pencatatan kegiatan pembelajaran di SMA Negeri 3 Kota Bengkulu, sehingga evaluasi dan pelaporan hasil kegiatan pembelajaran yang dihasilkan lebih akurat. Kata Kunci: Sistem Informasi, Jurnal Mengajar, Waterfall, Laravel, Data Pembelajaran.
Sistem Manajemen Reservasi Ruangan di Gedung Pusat Kegiatan Mahasiswa (PKM) Universitas Bengkulu Hijrayanti, Hikmah; Butar Butar, Federika; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.39624

Abstract

The Bengkulu University Student Activities Center (PKM) requires an efficient room reservation management system to overcome manual processes that are prone to errors, delays and lack of transparency. This project aims to design and develop a web-based Room Reservation Management System using the Laravel framework, which allows students to see real-time room availability and make online reservations. This system also makes it easy for admins to manage room and reservation data systematically and avoid schedule conflicts. With the Waterfall development methodology, system design is carried out using Unified Modeling Language (UML) and testing using the Black Box Testing method. This system is expected to increase the efficiency of room management, provide information transparency, and minimize manual process obstacles, thereby supporting the effectiveness of student activities. Implementation of this system contributes to the modernization of campus administration services and optimization of PKM facilities.
Identifikasi Pola Polimorfisme Pada Punggung Kumbang Coccinellidae Menggunakan Metode Yolo Untuk Membedakan Jenis Kumbang Predator dan Hama Nurmalasari, Eva; Susanto, Agus; Zarkani, Agustin
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.40182

Abstract

Identifikasi pola polimorfisme pada punggung kumbang Coccinellidae penting untuk membedakan predator dan hama dalam pertanian. Namun, perbedaan visual sering kali sulit dikenali. Penelitian ini mengusulkan metode deep learning menggunakan YOLOv5 untuk identifikasi otomatis. Data kumbang Coccinellidae dikumpulkan, melalui preprocessing dan augmentasi, menghasilkan 1.821 gambar. Model YOLO dilatih dengan parameter optimal hingga epoch 729 dan patience 300. Evaluasi menggunakan metrik Mean Average Precision (mAP) menunjukkan kinerja tinggi, dengan mAP@0,5 sebesar 0,966 dan mAP@0,75 sebesar 0,962. Selain itu, aplikasi berbasis Android dikembangkan untuk implementasi model ini dan diuji dengan hasil kepuasan pengguna sebesar 80. Hasil penelitian menunjukkan bahwa pendekatan ini efektif dalam membedakan kumbang predator dan hama secara akurat serta berpotensi membantu pengendalian hama di bidang pertanian. Kata Kunci: Identifikasi, Coccinellidae, Polimorfisme, YOLOv5.
Rancang Bangun Sistem Presensi Pegawai Berbasis IP Publik Statik Untuk Meningkatkan Efisiensi dan Akurasi Pencatatan Kehadiran Ganjar Prasetyo, Karno
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.41006

Abstract

This research aims to create an employee attendance system based on static Public IP from internet service providers. Limitations of conventional attendance systems often include long lines and dependence on specific technologies, such as cards and fingerprint readers. Employees can take attendance flexibly using static public IP technology by utilizing a computer or mobile phone connected to the company's Wi-Fi network. The system development method used is a waterfall, made using the UML visualization model and the PHP programming language with the CodeIgniter framework and MySQL as a database. The test results show that the developed static public IP-based attendance system can increase the efficiency of the attendance process faster and reduce attendance recording errors significantly.
Rancang Bangun Arsitektur Microservices untuk Massive Open Online Courses
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.39997

Abstract

The advancement of information technology has revolutionized learning, enabling remote teaching with flexible schedules. MOOCs, a new learning model, offer accessible education anytime, anywhere, with no participant limits. In developing MOOCs, microservices architecture can be applied, as shown in the Vocasia.id case study, which includes services like authentication, catalog, course, email, enrollment, finance, instructor, order, and payment using business capability decomposition. Docker is used for containerization to ensure application portability, while Kubernetes handles orchestration for efficient deployment and scaling. Benchmarking identifies optimal configurations, with maximum CPU usage reaching 28 cores and memory usage at 13 GiB. To ensure system stability, a horizontal pod autoscaler is configured with a 60% target for CPU and memory usage, supporting a minimum of 2 pods and a maximum of 5 pods.

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