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Analisa Web untuk Memahami Perilaku Konsumen Online Studi Kasus “Store Steam Powered” Supriyadi, Endang
Transparansi : Jurnal Ilmiah Ilmu Administrasi Vol 7, No 2: September 2015
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.942 KB) | DOI: 10.31334/transparansi.v7i2.849

Abstract

The development of internet users from year to year to date continues to increase, it can be known through a survey conducted Internet Worldstats. According to a survey conducted by Internet Worldstats, United Stated ranks 2nd of internet users worldwide after China. From the results of the survey shows that almost all activities / business activities undertaken by the world population and in particular the citizens of United State / America using internet facilities in all activities, especially transactions online. And one of the tools that can help to analyze online consumer behavior is by using web analytics. The purpose of this paper is to analyze how data analysis can be effectively used to understand current consumer behavior online. Expected with the use of web analytics, companies can predict future consumer behavior online and special messages on promotions that have been sent to each individual. Understanding the patterns and things on the web analytics is expected to help to develop business processes and the contents and design that need to be made especially "store steam powered". Store steam powered is one of Valve's web-based digital distributor. The main service that is done is steam game sales through an e-commerce web that aims to avoid piracy is very rampant at the moment.
Metode SVM Berbasis PSO untuk Meningkatkan Prediksi Ketepatan Waktu Kelulusan Mahasiswa Supriyadi, Endang
Jurnal Sistem Informasi Vol 6 No 2 (2017)
Publisher : STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.652 KB)

Abstract

Abstract—This scientific article discusses how the swarm optimization particle method can improve accuracy in predicting student graduation accuracy. This is done in order to anticipate the decrease in the number of students in their lectures. The experimental results have shown that particle swarm optimization (PSO) can improve the accuracy of the support vector machine method from 80.14% accuracy to 82.05% so that there is an increase of accuracy of 1.91%. Intisari— Artikel ilmiah ini membahas bagaimana metode partikel swarm optimization dapat meningkatkan akurasi dalam memprediksi ketepatan kelulusan mahasiswa. Hal tersebut dilakukan agar dapat mengantisipasi penurunan jumlah mahasiswa dalam kegiatan perkuliahannya. Hasil eksperimen yang telah dilakukan terbukti bahwa particle swarm optimization ( PSO ) dapat meningkatkan akurasi metode support vector machine dari  akurasi sebesar 80.14% menjadi 82,05% sehingga terbukti ada peningkatan akurasi sebesar  1.91 %. Kata Kunci— SVM, PSO, akurasi, prediksi, data mining.
Pendampingan Penyusunan Pembuatan Rencana Anggaran Belanja (RAB) pada Sistem Iuran Pemeliharaan Lingkungan (IPL) di Perumahan Jade Park Serpong 2 Novita Sari, Sukarni; Aryani, Fika; Supriyadi, Endang; Sofiana, Maya; Agoestyowati, Redjeki; Wahyuni, Rita; Juardi, Juardi
Jurnal Komunitas : Jurnal Pengabdian kepada Masyarakat Vol. 7 No. 1: Juli 2024
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/jks.v7i1.3704

Abstract

In managing Housing Environmental Maintenance Contributions (IPL), it is necessary to create an Expenditure Budget Plan (RAB) because it forms the foundation for formulating financial strategies and schedules for housing operational activities. Errors in the Expenditure Budget Plan (RAB) can have a negative impact on the entire process, resulting in financial setbacks and activity delays, therefore it requires accurate calculations and estimator’s skills in complying with current information and standards. Community Service Activitiey (PKM) was carried out at the Jade Park Serpong 2 Housing Complex in January 2024 to February 2024, at this stage the socialization of activities was carried out to the administrators of the Jade Park Serpong 2 Community Association, besides that we also provided accompaniment in the process of preparing and making the Expenditure Budget Plan with Ms.Excel. As well as providing socialization to residents to be orderly in paying their monthly contribution obligations. In the final stage, an evaluation was carried out with discussion after the training had been completed to find out the extent of the participants’ absorption of the material they had received.