Jurnal Informatika dan Rekayasa Perangkat Lunak最新文献_第2页

Analisis Sentimen terhadap Penyelenggaraan Sea Games 2023 Kamboja pada Twitter Menggunakan Algoritma Naive Bayes 使用 Naive Bayes 算法在 Twitter 上对 2023 年柬埔寨海上运动会组织情况进行情感分析

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-30 DOI: 10.36499/jinrpl.v5i2.8946

Farah Fadila Rahman, Frise Anesha Lutia, Ultach Enri

{"title":"Analisis Sentimen terhadap Penyelenggaraan Sea Games 2023 Kamboja pada Twitter Menggunakan Algoritma Naive Bayes","authors":"Farah Fadila Rahman, Frise Anesha Lutia, Ultach Enri","doi":"10.36499/jinrpl.v5i2.8946","DOIUrl":"https://doi.org/10.36499/jinrpl.v5i2.8946","url":null,"abstract":"Southeast Asian Games or SEA Games is a Southeast Asian sporting event held every 2 years, where the participants are 11 member countries of the Association of Southeast Asian Nation (ASEAN). Cambodia was chosen as the host for the 2023 SEA Games. The implementation of the SEA Games in Cambodia experienced many controversies ranging from the inverted Indonesian flag to leaking lodging rooms for athletes. Social media Twitter became one of the places for netizens to express their opinions about the implementation of the SEA Games in Cambodia. This study aims to determine the level of tendency of positive, negative and neutral opinions through the sentiment analysis process. The sentiment analysis process is carried out using the Naive Bayes method, through five main stages, namely Data Selection, Preprocessing, Transformation, Data Mining, and Evaluation. The data used comes from Twitter users who use the hashtag \"SEA Games Cambodia\" then obtained data as many as 1595 tweets. The results of this study describe the results of Naive Bayes implementation and performance testing using confusion matrix obtained accuracy 66%, precision 70%, recall 66%, and f1-score 61%. and also obtained the results of the tendency of public opinion sentiment on Twitter with positive results as much as 49%, then negative results as much as 40% and neutral results as much as 11%.","PeriodicalId":33961,"journal":{"name":"Jurnal Informatika dan Rekayasa Perangkat Lunak","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Klasifikasi Citra Genus panthera Menggunakan Pendekatan Deep learning Berbasis Convolutional Neural network (CNN) 利用基于卷积神经网络 (CNN) 的深度学习方法进行黑豹属图像分类

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-30 DOI: 10.36499/jinrpl.v5i2.8931

Waeisul Bismi, Muhammad Qomaruddin

{"title":"Klasifikasi Citra Genus panthera Menggunakan Pendekatan Deep learning Berbasis Convolutional Neural network (CNN)","authors":"Waeisul Bismi, Muhammad Qomaruddin","doi":"10.36499/jinrpl.v5i2.8931","DOIUrl":"https://doi.org/10.36499/jinrpl.v5i2.8931","url":null,"abstract":"This research aims to develop an image classification method for the panthera genus using a deep learning approach based on Convolutional Neural network (CNN). The panthera genus includes large species such as tigers, lions, leopards, and jaguars, which share similarities in appearance but also differences in fur patterns, body size, and habitat. Image classification of the panthera genus is important in various applications, including wildlife conservation and biological research. In this study, image datasets of tigers, lions, and leopards were collected from various sources to a total of 6,290 images. The proposed method involves image pre-processing, such as resizing, converting and normalization, and the use of a Convolutional Neural network (CNN) model to perform classification. The CNN model is implemented and trained using training data to recognize specific visual patterns in the images of each species. The results of this study show that the CNN-based deep learning approach can achieve high accuracy in the classification of panthera genus images of 85.21%. This method can correctly distinguish between tiger, lion, and leopard images based on unique visual features. In addition, the deep learning approach also offers advantages in efficiency and scalability to cope with the large number of images in the dataset. This research makes an important contribution to the development of wildlife image classification methods using a CNN-based deep learning approach.","PeriodicalId":33961,"journal":{"name":"Jurnal Informatika dan Rekayasa Perangkat Lunak","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Informasi Penjualan Empon-Empon Berbasis Web pada Kelompok Wanita Tani (KWT) Subur Lestari Subur Lestari 女农民小组（KWT）基于网络的 Empon-Empon 销售信息系统

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-30 DOI: 10.36499/jinrpl.v5i2.7987

D. Arumsari, Fandy Indra Pratama

引用次数: 0

Sistem Informasi Pelayanan Kesehatan Hewan Berbasis Website Menggunakan Metode Rational Unified Process (RUP) 使用合理统一过程 (RUP) 方法的基于网站的动物健康服务信息系统

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-30 DOI: 10.36499/jinrpl.v5i2.9040

Ninda Sofiatun Ni’mah, Daniel Alfa Puryono, Moh Rofi

{"title":"Sistem Informasi Pelayanan Kesehatan Hewan Berbasis Website Menggunakan Metode Rational Unified Process (RUP)","authors":"Ninda Sofiatun Ni’mah, Daniel Alfa Puryono, Moh Rofi","doi":"10.36499/jinrpl.v5i2.9040","DOIUrl":"https://doi.org/10.36499/jinrpl.v5i2.9040","url":null,"abstract":"Puskeswan adalah pusat kesehatan hewan yang menyediakan jasa pengobatan untuk hewan ternak. Selama ini proses pelayanannya di puskeswan pengelolaan data masih manual yaitu menggunakan media buku besar, sehingga banyak pencatatan data yang dilakukan secara berulang. Selain itu pemilik hewan ternak juga harus datang ke puskeswan atau telepon untuk melakukan konsultasi terkait dengan hewannya. Maka penelitian ini dilakukan untuk merancang sistem informasi pelayanan kesehatan agar dapat membantu puskeswan wedarijaksa dalam mengelola data dan mempermudah pemilik hewan mendapatkan pelayanan kesehatan untuk ternaknya. Sistem ini menggunakan metode Rational Unified Process (RUP) dalam pengembangan yang berkaitan dengan perangkat lunak pada sebuah sistem yang interaktif. Proses pengembangan metode Rational Unified Process ini ada 4 tahapan yaitu Inception, Elaboration, Construction dan Transition. Hasil dari penelitian ini menunjukkan bahwa sistem informasi pelayanan kesehatan hewan yang dibangun memiliki kegiatan pelayanan mulai dari registrasi pendaftaran, pemeriksaan, konsultasi, pelaporan online dan pemetaan hewan ternak dapat berjalan dengan baik.","PeriodicalId":33961,"journal":{"name":"Jurnal Informatika dan Rekayasa Perangkat Lunak","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Reservasi Kunjungan Desa Wisata Berbasis Web Studi Kasus di Desa Wisata Lerep 基于网络的旅游村访问预订系统莱雷普旅游村案例研究

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-30 DOI: 10.36499/jinrpl.v5i2.7986

Mustagfirin Mustagfirin, D. Setiawan, A. Rudiyanto

引用次数: 0

Analisis Akurasi Dalam Diagnosa Penyakit Kulit Menular Menggunakan Metode Certainty Factor 使用确定性因子法分析诊断传染性皮肤病的准确性

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-14 DOI: 10.33365/jatika.v4i3.3562

Muhammad Raihan

引用次数: 0

Rancang Bangun Sistem Pemenuhan Kebutuhan Gizi pada Orang Sakit Berbasis Android 为病人设计基于 Android 的营养需求满足系统

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-14 DOI: 10.33365/jatika.v4i3.3707

Muhammad Abdurrachman Rizky, A. Puspaningrum, Erliyan Redi Susanto

引用次数: 0

Pengembangan Aplikasi Pengaduan Nasabah Berbasis Website Menggunakan Framework Laravel (Studi Kasus : PT BPR UTOMO MSL) 使用 Laravel 框架开发基于网站的客户投诉应用程序（案例研究：PT BPR UTOMO MSL）

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-14 DOI: 10.33365/jatika.v4i3.2749

Edwin Dwi Andriano, Imam Ahmad, Rakhmat Dedi Gunawan

{"title":"Pengembangan Aplikasi Pengaduan Nasabah Berbasis Website Menggunakan Framework Laravel (Studi Kasus : PT BPR UTOMO MSL)","authors":"Edwin Dwi Andriano, Imam Ahmad, Rakhmat Dedi Gunawan","doi":"10.33365/jatika.v4i3.2749","DOIUrl":"https://doi.org/10.33365/jatika.v4i3.2749","url":null,"abstract":"Pengembangan sistem pengaduan nasabah ini bertujuan untuk mengoptimalkan proses pencatatan transaksi yang berhubungan dengan pengaduan nasabah serta dapat membantu dalam proses pelaporan ke pada pihak ke tiga yaitu OJK (Otoritas Jasa Keuangan) dan dapat meningkatkan efisiensi tenaga dan waktu. Metode penelitian yang digunakan yaitu metode analisis dan perancangan. Metode analisis dilakukan dengan cara melakukan wawancara kebutuhan sistem yang di perlukan dalam pencatatan pengaduan nasabah yang selama ini masih dilakukan secara manual. Metode perancangan yaitu merancang sistem yang baru dengan cara pendekatan berorientasi objek dengan pemodelan visual UML. Pengembangan aplikasi berbasis web yang dibuat dengan bahasa pemrograman PHP dengan menggunakan framework laravel dan database MySQL. Pengujian dalam penelitian pengembangan aplikasi ini dilakukan dengan pengujian hasil laporan yang akan di hasilkan apakah sesuai dengan yang di butuhkan PT BPR Utomo Manunggal Sejahtera Lampung. Pengujian sistem dalam penelitian ini menggunakan pengujia blackbock, Pengujian blackbock dilakukan sebagai proses pengujian kinerja atau tingkat keberhasilan suatu sistem. Pengujian ini dilakukan untuk memastikan sejauh mana sistem memiliki tingkat keberhasilan pada pengujian blackbock. Pengujian hasil laporan dan pengujian blackbock dilakukan pengujian dari pihak PT BPR Utomo Manunggal Sejahtera Lampung. Dan memiliki hasil uji yang baik dan dapat membantu dalam proses pencatatan dan pelaporan pengaduan nasabah.","PeriodicalId":33961,"journal":{"name":"Jurnal Informatika dan Rekayasa Perangkat Lunak","volume":"115 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139340103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementasi Deep Leraning Lenet Dengan Augmentasi Data Pada Identifikasi Anggrek 在兰花鉴定中利用数据增强实现深度词义分析 Lenet

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-14 DOI: 10.33365/jatika.v4i3.3652

Fachrul Rizki, Muhammad Pajar Kharisma Putra, Maulana Aziz Assuja, Fenty Ariany

{"title":"Implementasi Deep Leraning Lenet Dengan Augmentasi Data Pada Identifikasi Anggrek","authors":"Fachrul Rizki, Muhammad Pajar Kharisma Putra, Maulana Aziz Assuja, Fenty Ariany","doi":"10.33365/jatika.v4i3.3652","DOIUrl":"https://doi.org/10.33365/jatika.v4i3.3652","url":null,"abstract":": Indonesia is a country with a high level of biodiversity, one of Indonesia's biodiversity with 5,000 species of orchids out of 25,000 species of orchids in the world. Orchids are part of natural life that we must care for and protect to maintain its sustainability. This orchid has a very interesting color and shape and is different for each type of orchid. The diversity of these orchids is quite difficult to recognize if you only look at the colors and shapes. This research utilizes deep learning technology, which is an artificial neural network model that has been widely used and developed in digital image recognition. Deep learning can be used as a technology to solve the problem of identifying orchid species. This research aims to see the accuracy value of deep learning model training on LeNet architecture using augmentation techniques on orchid identification. The dataset used is 1600 images and then augmentation is carried out on the dataset so that the data becomes 3200 images. The tools used in the data training process are Google Colab. The results of the study show that the accuracy value on LeNet using rotate augmentation reaches an accuracy rate of 81.88%.","PeriodicalId":33961,"journal":{"name":"Jurnal Informatika dan Rekayasa Perangkat Lunak","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139340084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Penerapan Keamanan Login Admin Dan Filterisasi Input Untuk Mencegah SQL Injection 实施管理员登录安全和输入过滤以防止 SQL 注入

Jurnal Informatika dan Rekayasa Perangkat Lunak Pub Date : 2023-09-14 DOI: 10.33365/jatika.v4i3.3306

Yovie Ferdianto

引用次数: 0