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All Journal TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Jurnal Sisfotek Global
Dwi Rahmiyati
Universitas Binaniaga Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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Penerapan Aplikasi Sales Activity System Berbasis Web untuk Meningkatkan Performa Penjualan dengan Metode Rapid Aplication Development Dwi Rahmiyati; Ervan Britantono Siswantoro
Teknois : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 1 (2022): January
Publisher : Sekolah Tinggi Ilmu Komputer Binaniaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i1.129

Abstract

Bagian penjualan dapat menjadi jembatan dalam penyampaian informasi serta menarik calon customer hingga menjadi customer loyal.  PT Super Sukses Motor berupaya dapat melayani dan menciptakan hubungan yang baik kepada para calon customer dengan sistem yang mengkoordinir data-data calon customer dari bagian penjualan. Saat ini perusahaan masih menggunakan catatan manual dan excel untuk merekam data. Berdasarkan hal tersebut akan dibuatkan aplikasi Sales Activity berbasis web untuk memenuhi kebutuhan perusahaan dalam merekam data calon customer dan mengetahui kinerja karyawan di bagian penjualan atau tim sales. Sehingga diharapkan dapat meningkatkan performa dalam penjualannya. Pengembangan sistem menggunakan metode Rapid Application Development (RAD) yaitu requirement planning, design dan implementation. Kesimpulan dari penelitian yang dilakukan, perusahaan perlu menerapkan aplikasi Sales Activity System (Sistem SALAC) agar dalam follow up calon customer lebih tepat sasaran dan terjadwal sistematis.Hasil pengujian prosentase kelayakan yang dilakukan terhadap 4 responden ahli dan 70 responden pengguna maka terkait sistem yang dikembangkan dapat dikategorikan ke dalam interpretasi yang sangat layak.
Analysis Sentiment of Twitter User on Indonesia's 2024 Presidential Election Using K-Means Algorithm Leny Tritanto Ningrum; Dwi Rahmiyati
JURNAL SISFOTEK GLOBAL Vol 13, No 2 (2023): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v13i2.9609

Abstract

The General Election is a five-year agenda of the Indonesian people in order to fulfill the political rights of every citizen for the election of the president and the legislature. In every election, especially during the campaign period, differences of opinion often occur between certain groups or factions, this often creates an atmosphere of political uproar in various parts of Indonesia. The purpose of this study is to see the level of sentiment of social media users towards the implementation of elections in Indonesia so as to minimize political upheaval that occurs in society during the elections to be held in 2024. The data that will be used in this research is data on Twitter users who have large volumes and are taken from all regions of Indonesia. To suit the data model used, this study will use the data mining method with the K-Means algorithm. The results of this study show the percentage level of public sentiment of Twitter users towards the 2024 election and presidential election. Public sentiment is positive, neutral and negative. Based on these results, it can provide input to the government so that it can make appropriate policies ahead of elections and presidential elections so as to create a peaceful atmosphere.
Co-Authors Ervan Britantono Siswantoro Leny Tritanto Ningrum