JSAI (Journal Scientific and Applied Informatics)
Jurnal terbitan dibawah fakultas teknik universitas muhammadiyah bengkulu. Pada jurnal ini akan membahas tema tentag Mobile, Animasi, Computer Vision, dan Networking yang merupakan jurnal berbasis science pada informatika, beserta penelitian yang berkaitan dengan implementasi metode dan atau algoritma.
Articles
471 Documents
<![CDATA[Sistem Informasi Manajemen Berita Dan Iklan RRI Berbasis Website ]]>
<![CDATA[Hariati Husain]]>;
<![CDATA[Citra Y Gobel]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3574
<![CDATA[Radio Republik Indonesia is a radio that has a strategic position, because in reality RRI is still the only national network and is able to reach almost all parts of Indonesia. RRI Gorontalo currently still needs a system in news and advertising management. Currently, it still uses conventional services where the process of broadcasting news and advertising services still requires a fairly complicated and time-consuming flow for reporters and advertising services still have to be submitted directly by visiting the RRI Gorontalo office. The purpose of this study is to design a news management information system as a result of reporter coverage for managing news that goes to the editor and advertising services through the website. A proposed system is expected to be able to provide access rights to all related parties, so that reporters can add, edit, and delete news directly. While advertising can be submitted via the web without the need to come to the RRI office. The results of the study concluded that a website-based news and advertising Management Information System was built using the PHP programming language and MySQL database with 3 different user accesses, namely the administrator user as the master data manager, the reporter user and the RRI client as the user client on the system. This website-based information system is expected to help RRI Gorontalo in the process of submitting news services from reporters and receiving advertisements from clients, so that they can run more effectively and efficiently. Based on the results of system testing on the whitebox method, it is concluded that the calculation of V(G) = 2 and Cyclometic Complexity (CC) = 2, so that it can be concluded that the logic flow for the Member Input module carried out by the admin is effective and efficient]]>
<![CDATA[PERANCANGAN MOBILE E-COMMERCE PRODUK DESA DAN HASIL BUMI DI KECAMATAN PINOLAGUMAN KABUPATEN BOLAANG MONGONDOW UTARA ]]>
<![CDATA[Zainudin Sidik]]>;
<![CDATA[Marlin Lasena]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3584
<![CDATA[At present the process of selling and marketing village products is still carried out conventionally, namely by selling it to collectors, so that the benefits they get are few. Along with the development of increasingly advanced information technology, it is realized the need to improve information technology services. At present the community needs information system services that are expected to help in the process of selling and marketing agricultural products, namely by creating e-commerce applications for village products and android-based agricultural products. which helps the community in the process of selling and marketing without going through collectors so that the benefits they get are more leverage. Considering that currently it is also still in a Pandemic Covid condition 19 The results of the implementation of this research are made very simple in order to make it easier for the community to manage applications and the results of the system testing both WhiteBox and Blackbox get the results that are in accordance with the display design expected by the user]]>
<![CDATA[Aplikasi Pemasaran Kue Tradisional Gorontalo Menerapkan User Centered Design: Aplikasi Pemasaran Kue Tradisional Gorontalo Menerapkan User Centered Desig ]]>
<![CDATA[Fitriyanti Suleman]]>;
<![CDATA[wati]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3592
<![CDATA[The people of Gorontalo have a habit of consuming cake at breakfast and the tradition of providing cake at celebration events. However, the bustle of urban communities who do a lot of activities outside the home to work, thus making them prefer to buy cakes at cake sales places. Based on the current survey, traditional Gorontalo cakes are less exposed because more and more modern cakes are starting to enter the market, especially in cafes and restaurants, resulting in a decrease in the income of traditional cake traders. This study aims to help Gorontalo traditional cake traders to get digital sales media in order to face business competition in the current digital economy era. The application is designed based on a website by applying the User Centered Design method so that users in every stage of system development are also involved and the system formed can be used according to user needs. The application design uses the PHP programming language and data processing with MySQL DBMS. The system user interface is made simple so that the process of inputting and processing sales data and marketing transactions is more practical. User access on the system is made for administrators as system control and on the client side, access will be opened for traditional cake traders and community users as buyers or consumers. The results of system testing using blackbox testing are tested on the page views of all system users, namely the admin page, merchant page and buyer or community user page, the results of the blackbox test are obtained in accordance with the display design and system functions expected by system users.]]>
<![CDATA[Fine-Tuning Model Transfer Learning VGG16 Untuk Klasifikasi Citra Penyakit Tanaman Padi ]]>
<![CDATA[Handrie Noprisson]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3609
<![CDATA[The high level of demand for this commodity encourages improvements in agricultural yields by overcoming diseases in rice plants. Detection of disease in rice plants from the beginning of planting will reduce the impact of plant growth significantly. With proper treatment from the results of the identification of disease cases since this will increase the productivity of agricultural products. This study aims to analyze the performance of the rice plant disease classification convolution neural net (CNN) with the VGG16 architecture using fine-tuning. To process the dataset and classify the data into four classes (BrownSpoty, Healthy, Hispa, and LeafBlast), this study used several methodological steps. The stages include data preparation, feature extraction, training, comparing and evaluating models. As a result, VGG16 without fine tuning gets an accuracy of 50.88% while VGG 16 with fine tuning gets an accuracy of 63.50% in the training process. In the validation process, VGG16 without fine tuning gets an accuracy of 52.50% while VGG 16 with fine tuning gets an accuracy of 62.08%. In the testing process, VGG16 without fine tuning got 54.19% accuracy while VGG16 with fine tuning got 62.21% accuracy.]]>
<![CDATA[Perbandingan Algoritma Xception dan VGG16 Untuk Pengenalan Lebah Pollen-Bearing ]]>
<![CDATA[Handrie Noprisson]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3611
<![CDATA[Having scheduled observations will help beekeepers know about bee diseases, bee hive health and poisons that may be carried by bees. If this can be done with the help of a computer, it will reduce the time and cost of beekeeping. In addition, honey and nest production will increase both in terms of quality and quantity. This study aims to analyze the performance of the Xception and VGG16 algorithms for the recognition of pollen-bearing bees. In the experimental results above, the VGG16 model with fine_tuning obtained the best testing accuracy value of 83.33%. Likewise, with the best Cohens kappa, F1_score, ROC AUC, Precision, and Recall values obtained by the VGG16 model with fine_tuning. For the Xception model, the best obtained without fine tuning is 72.22%. From the experimental results, it is concluded that the pre-trained VGG16 model with fine_tuning is more suitable for use in the bee_pollen dataset compared to the Xception model, either with fine_tuning or without fine_tuning.]]>
<![CDATA[Perbandingan Model Transfer Learning Untuk Klasifikasi Citra Agricultural Crop ]]>
<![CDATA[Vina Ayumi]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3612
<![CDATA[Klasifikasi tanaman telah diterapkan selama bertahun-tahun sebagai salah satu komponen utama pemantauan pertanian. Klasifikasi jenis tanaman merupakan teknik penting untuk menyediakan informasi tersebut. Berdasarkan latar belakang diatas, penelitian ini akan melakukan agricultural crop type classification from digital images. Dataset crop images terdiri dari 40 lebih gambar untuk setiap kelas yang ada yaitu kelas maize, wheat, jute, rice dan sugarcane. Dataset kemudian dilakukan augmentasi sehingga menghasilkan 159+ gambar untuk setiap kelas. Proses augmentasi dilakukan dengan proses horizontal flip, rotation, horizontal shift dan vertical shift. Data pengujian dipersiapkan dengan jumlah terdiri dari 51 gambar dengan masing-masing 10 gambar setiap kelasnya. Berdasarkan dari hasil eksperimen, hasil akurasi validasi terbesar didapatkan dengan implementasi metode VGG16 sebesar 96.52%, sedangkan VGG19 mendapatkan akurasi sebesar 94.03%, Resnet50 mendapatkan akurasi sebesar 41.79%, Inceptionv3 mendapatkan akurasi sebesar 94.53% dan EfficientNetB0 mendapatkan akurasi sebesar 20.40%.]]>
<![CDATA[Pengenalan Objek Bunga Berbasis Deep Learning Menggunakan Model Resnet50 dan MobileNet-v2 ]]>
<![CDATA[Vina Ayumi]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3613
<![CDATA[Seiring dengan perkembangan teknologi komputer, riset mengenai identifikasi bunga sudah mulai dilakukan. Riset ini merupakan riset awal untuk pengembangan robot berbasis artifisial intelligent untuk dapat mengenai jenis-jenis bunga dengan baik. Untuk mengetahui model atau metode yang cocok untuk identifikasi bunga perlu adanya berbagai macam riset dengan menggunakan berbagai jenis dan jumlah dataset gambar bunga. Penelitian ini akan melakukan pengenalan objek bunga berbasis deep learning menggunakan model Resnet50 dan MobileNet-v2. Dataset dalam eksperimen ini berisi 4242 data dengan gambar objek bunga yang yang terdiri dari lima kelas antara lain chamomile, tulip, rose, sunflower, dandelion. Hasil kinerja terbaik didapatkan oleh model ResNet50 dengan akurasi validasi sebesar 92.67%, sedangkan model MobileNetV2 mendapatkan akurasi validasi sebesar 91.35%.]]>
<![CDATA[Prediksi Rating Film Menggunakan Bayesian Regressor dan Gradient Boosting Regressor ]]>
<![CDATA[Umniy Salamah]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3614
<![CDATA[Salah satu fitur yang cukup banyak dikembangkan untuk aplikasi adalah fitur penilaian pengguna. Informasi tentang peringkat pengguna ini dapat digunakan untuk memberikan rekomendasi terbaik tentang hal menarik bagipengguna lainnya. Sebagai contoh, layanan untuk penjualan film, fitur ini dapat digunakan untuk memberikan rekomendasi yang sesuai dengan peringkat pengguna dan mendorong peningkatan penjualan. Adapun tahapan penelitian adalah Data Preprocessing, Feature Engineering, Modelling dan Evaluation. Penelitian ini menggunakan metode yaitu Bayesian Regressor dan Gradient Boosting Regressor untuk memprediksi movie rating. Penelitian inimenggunakan TMDB 5000 Movie Dataset yang terdiri dari kurang lebih 4800 data. Sebagai hasilnya, Gradient Boosting Regressor memiliki hasil yang lebih baik dibandingkan Bayesian Ridge Regressor. Gradient Boosting Regressor memiliki nilai R^2 score sebesar 0.843.]]>
<![CDATA[Automated Fruit Classification Menggunakan Model VGG16 dan MobileNetV2 ]]>
<![CDATA[Umniy Salamah]]>;
<![CDATA[Anita Ratnasari]]>;
<![CDATA[Sarwati Rahayu]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3615
<![CDATA[Pengembangan robot atau mesin untuk membantu kegiatan pertanian memerlukan riset yang panjang. Teknologi tersebut harus dapat memiliki keahlian dalam melakukan berbagai macam aktivitas dan mampu mendeteksi objek yang menjadi sasaran pekerjaannya. Untuk memenuhi hal ini, riset untuk mendeteksi objek pertanian, misalnya buah, menjadi salah satu agenda riset yang perlu dilakukan dan dikembangkan. Tujuan penelitian ini adalah untuk mengetahui hasil perbandingan performa deep learning yaitu VGG16 dan MobileNetV2 untuk fruit classification. Penelitian ini menggunakan dataset dengan jumlah total 90.483 data dengan ukuran gambar 100x100 piksel dan jumlah kelas tanaman buah yang akan diklasifikasi adalah sebanyak 131 kelas. Pada proses testing menggunakan dataset yang ada, MobileNetV2 mendapatkan akurasi 98.4% dan ResNet50 mendapatkan akurasi 99,2%.]]>
<![CDATA[Aplikasi Bursa Kerja Alumni STMIK Ichsan Gorontalo Berbasis Website : Aplikasi Bursa Kerja Alumni STMIK Ichsan Gorontalo Berbasis Website ]]>
<![CDATA[citra Yustitya gobel]]>;
<![CDATA[Santawali]]>
<![CDATA[ JSAI (Journal Scientific and Applied Informatics) Vol 5 No 3 (2022): November 2022 ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Muhammadiyah Bengkulu ]]>
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DOI: 10.36085/jsai.v5i3.3629
<![CDATA[The quality of a college graduate depends on how quickly the student gets the first job, and how much the first salary is earned. The purpose of this study is to make it easier for STMIK Ichsan Gorontalo alumni to get a job quickly and make it easier for companies to inform job vacancies and Designing Information Systems Stock Exchange for STMIK-based alumni Web where job seekers are graduates and job providers can be able to communicate quickly with each other . Based on the discussion it can be concluded that the results of this application design can help the Alumni STMIK Ichsan Gorontalo in the process of finding work quickly with valid information from job seeker company.and Information System Working Exchange is made with simple governance and can facilitate job seekers in providing information job vacancy to alumni STMIK Ichsan Gorontalo in accordance with the fields required by the company]]>
