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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Inotera Jurnal Informatika Universitas Pamulang Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi Jurnal Ilmu Komputer (JIK) LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains APPA : Jurnal Pengabdian Kepada Masyarakat
Agus Heri Yunial
Pamulang University
Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : Jurnal Informatika Universitas Pamulang

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Analisis Optimasi Algoritma Klasifikasi Support Vector Machine, Decision Trees, dan Neural Network Menggunakan Adaboost dan Bagging Agus Heri Yunial
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6609

Abstract

The accuracy value of a classification algorithm shows whether the algorithm is good or not in classifying data which can affect the results of the classification method in data mining processing. In this study, the author will analyze the effect of optimization using the adaboost and bagging methods on the results of the classification algorithm accuracy value on support vector machines, decision trees, and neural networks. This study uses a software in data mining processing that is using the Weka application version 3.8.1. The test method used was a percentage split of 70%. In this study, the results show that adaboost optimization can increase the accuracy value of the support vector machine algorithm from 88.93% to 89.10%, decision trees from 90.24% to 90.36%, and neural network from 88.53% to 88.61%, while bagging optimization can only increase Algortima decision trees become 90.55%, and the neural network becomes 90.38%, because the accuracy value of the support vector machine algorithm is the same as the accuracy value of bagging, which is 88.93%.
Rancang Bangun Sistem Penjualan Toko Optik Berbasis Web Menggunakan Metode Waterfall Willis Puspita Sari; Agus Heri Yunial
Jurnal Informatika Universitas Pamulang Vol 6, No 2 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i2.12275

Abstract

The decline in community activities outside the home and restrictions on operating hours in the business world have a negative impact on the income and performance of the business world. This is the impact of restrictions on activities outside the home carried out by the government in order to reduce the spread of the covid 19 virus. For this reason, an innovation is needed that changes management governance and trade transactions that switch to online, so that business activities can run and remain active in the midst of current pandemic. One of the businesses affected by the impact is the Sinar Pratama Optical Shop in Gunung Sindur, which has limited operating hours and the number of visitors has decreased due to limited activities outside the home. Another problem at this time at the store is the time for making eyeglass sales reports which are quite long, and still using 3 copies of receipts for 1 sales transaction. To overcome this problem, an eyewear sales management information system was created, which can handle sales data and can make reports anywhere and anytime. Waterfall was chosen in the method used because it is considered more suitable if the need for each process is known. With the waterfall method, the creation of a web-based sales application at the Sinar Pratama Optical Shop can be completed in a predetermined time and the Sinar Pratama Optical Shop can sell goods and promotions on its own website and can compete during the current pandemic. In addition, making sales reports can be done more quickly because of the computational process and can be done anywhere.
Co-Authors A. Nurul Anwar A. Nurul Anwar Achmad Lutfi Fuadi Achmad Lutfi Fuadi Ahmad Fahmi Abdillah Ahmad Faisal Andika Padillah anggi saputra Asep Saepudin Bagus Subekti Basyarulhaq Fanani Daffa Nur Ardhayaguna Ditto Saepoel Rachman Fadli Iman Fajar Nur Fikri Fauzi Ahmad Muda Hengky Agus Setiawan Ihsan Nurkholis Joko Suwarno Joko Suwarno Khurotul Aini Muhamad Affan Afifi Muhammad Iskandar Muhammad Rizky Ardisyahputra Pajar Priana Rada Rasi Saputri Rahmat Pangestu Ray Virana Rajessa Rian Setiawan Rizky Juni Arigayo Sunata Wilis Puspita Sari Willis Puspita Sari Wisnu Hermawan