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Perancangan Aplikasi E-Learning Berbasis Web dengan Model Prototype pada SMPN 7 Kota Tangerang Selatan Robbi, Mukhlishoh Syaukati; Yulianti, Yulianti
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol 2, No 4 (2019): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.803 KB) | DOI: 10.32493/jtsi.v2i4.3768

Abstract

Pembelajaran adalah proses interaksi peserta didik dengan pendidik dan sumber belajar pada suatu lingkungan belajar yang meliputi guru dan siswa yang saling bertukar informasi. Oleh karena itu, pembelajaran harus berjalan dengan baik agar informasi dapat tersampainkan. Pendidik yang berhalangan hadir, akan mengganggu penyampaian materi pembelajaran. Begitu juga bagi peserta didik yang berhalangan hadir tentu akan ketinggalan materi pembelajaran yang diberikan oleh pendidik. Dengan adanya E-Learning memberikan kemudahan dalam proses kegiatan belajar mengajar di sekolah, guru dapat memberikan materi dan tugas dimanapun, siswa mudah untuk mendapatkan materi pembelajaran, dan memudahkan siswa untuk mengerjakan tugas yang telah diberikan oleh guru, tanpa terhalang oleh dimensi ruang dan waktu. Metode pengembangan sistem yang digunakan oleh penulis dalam melakukan penelitian ini adalah metode Prototype. Metode Prototype adalah perangkat lunak prototyping atau siklus hidup menggunakan prototyping. Salah satu metode siklus hidup sistem yang didasarkan pada konsep model bekerja. Dimana pengembang sistem dan klien dapat melihat dan melakukan eksperimen sejak awal proses pengembangan. Dalam metode Prototype terdapat tiga tahap (3) siklus pengembangan, yakni: Fase Pengumpulan Kebutuhan, Fase Membangun Prototype, dan Fase Uji Coba.
Perancangan Aplikasi E-Learning Berbasis Web dengan Model Prototype pada SMPN 7 Kota Tangerang Selatan Robbi, Mukhlishoh Syaukati; Yulianti, Yulianti
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 2 No. 4 (2019): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

Learning is the process of student interaction with educators and learning resources in a learning environment that includes teachers and students who exchange information. Therefore, learning must go well so that information can be delivered. Educators who are unable to attend will disrupt the delivery of learning material. Likewise, for students who are unable to attend will certainly miss the learning material provided by educators. With E-Learning making it easy in the process of teaching and learning activities in schools, teachers can provide materials and assignments anywhere, students are easy to get learning materials, and make it easy for students to do the assignments given by the teacher, without being hindered by the dimensions of space and time. The system development method used by the authors in conducting this research is the Prototype method. The Prototype method is prototyping software or life cycle using prototyping. One method of system life cycle is based on the concept of a working model. Where the system developer and client can see and conduct experiments since the beginning of the development process. In the Prototype method there are three stages (3) development cycle, namely: Requirement Collection Phase, Prototype Building Phase, and Trial Phase.
Analisis Klasifikasi Hewan Menggunakan Metode K-Nearest Neighbor, Decision Tree, dan Naïve Bayes Robbi, Mukhlishoh Syaukati
Jurnal Ilmu Komputer Vol 1 No 2 (2023): Jurnal Ilmu Komputer (Edisi Desember 2023)
Publisher : Universitas Pamulang

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Abstract

Animal classification is an important topic in biology and conservation science, appropriate data analysis methods can help in identifying, classifying, and understanding animal characteristics. This research aims to analyze and compare various animal classification methods using the K-Nearest Neighbor, Decision Tree, and Naïve Bayes methods by implementing them in the Orange Data Mining environment. This study uses a dataset that includes a wide range of biological, morphological, and behavioral attributes of animals. Through the implementation of the orange tools, three different classification methods were developed and evaluated based on their performance in classifying animals into groups according to their characteristics. The research results show that the performance of the K-Nearest Neighbor method is superior to the others. From 101 data tested using the K-Nearest Neighbor method, an accuracy value of 94.1% was obtained. Comparative analysis reveals differences in accuracy and predictive ability between K-Nearest Neighbor, Decision Tree, and Naïve Bayes. These results provide insight into the effectiveness of each method in the context of animal classification and can potentially serve as a basis for selecting appropriate methods in biological research, conservation, or other animal science studies. This research enriches understanding of orange tools in the context of biology and animal science.