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All Journal Pandecta Agora JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Mirai Management Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Ekonomi Integra Mesin Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis Jurnal Teknologi Dan Sistem Informasi Bisnis INFOKUM Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis Berkala Ilmiah Mahasiswa Farmasi Journal of Judicial Review JES (Jurnal Ekonomi STIEP) Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi)
Steven Steven
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Journal : JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)

 1 
SISTEM REKOMENDASI PAKET MINUMAN BERDASARKAN PESANAN PELANGGAN DENGAN METODE FREQUENT PATTERN GROWTH Steven Steven; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.38 KB) | DOI: 10.24912/jiksi.v8i1.11490

Abstract

It is proposed that a beverage package is determined based on customer orders by looking for different frequent itemset patterns in the transaction data that has occurred. These data can be analyzed to be more useful. The method used is the association method. With the predicted beverage package the company can increase sales. With so many transaction data stored, the difficulty in managing data requires a method called the association method. Frequent Pattern Growth Algorithm is an alternative algorithm that is quite effective for finding the set of data that most often appears (frequent itemset) in a large data set. The test results from the Frequent Pattern Growth method can determine a number of packages that meet the minimum value of support and confidence with a combination of two itemset
PEMBUATAN SISTEM INFORMASI GEREJA BETHEL INDONESIA AVENUEL SEASON CITY BERBASIS WEBSITE Steven Steven; Wasino Wasino; Zyad Rusdi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 2 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.041 KB) | DOI: 10.24912/jiksi.v9i2.13101

Abstract

Makalah ini bertujuan untuk membuat sebuah sistem aplikasi berbasis website, website Gereja Bethel Indonesia Avenuel dan website database dibuat dengan tujuan untuk membangun sistem pelayanan yang dapat menjangkau jemaat, sehingga jemaat dapat dengan mudah memperoleh informasi secara cepat, tepat, dan akurat, dan gereja dapat mengolah data lebih mudah dengan adanya website database. Website ini dibangun dengan menggunakan bahasa pemrograman HTML, PHP, CSS, dan metode pengujian dilakukan dengan menggunakan metode blackbox. Metode analisis dan desain menggunakan metode terstruktur. Metode pengembangan perangkat lunak menggunakan salah satu model Software Development Life Cycle yaitu adalah waterfall. Hasilnya adalah Gereja Bethel Indonesia Avenuel Seasons City memiliki website yang berguna untuk mendapatkan informasi tentang pelayanan gereja, jadwal ibadah, informasi komunitas, dan pendaftaran petugas pelayanan, pernikahan dan baptisan. Admin juga memiliki website untuk melihat, memasukkan, menghapus data yang ada di database seperti data pelayanan gereja, data jemaat, data pasangan, dan mengubah informasi yang ditampilkan di website.
PERANCANGAN INFORMATION RETRIEVAL SYSTEM UNTUK DOKUMEN BERBAHASA INDONESIA DENGAN MENGGUNAKAN EXTENDED BOOLEAN Steven Steven
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v1i1.3091

Abstract

Information retrieval system is a system that is designed to find documents that satisfies user’s information needs. User represents his information needs in words. The word will represent the same word in documents and it’s called query. System will retrieve all relevant documents and show it to the user. This paper will describe an information retrieval system using extended boolean method. There are two methods in this system, boolean method for retrieval process and vector space method for ranking process.
PENGESTIMASIAN IMPERVIOUS SURFACE AREA DATA LANDSAT DENGAN MULTIPLE LINEAR REGRESSION Steven Steven
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v2i1.3187

Abstract

This application uses multiple linear regression for its method. This method useful for making regression model for making estimation appliances which will be used in the testing process. The way how to making the model will be helped with the matrix method of approach by Norman Drapper.This research uses Landsat image for band 1, 4, and 5, and also the high resolution image of Geo-Eye. The use of Landsat imagery is to obtain the pixel value for each pixel which is its characteristic of an image. And the reason for using the Geo-Eye imagery is for determine the value of impervious surface area of the Landsat image which we have gotten, for training process. Then from the made regression model is used for estimating an image, then the image will be differed which is considered to be impervious surface area and which is not.                 Key wordsImpervious surface area, multiple linear regression, matrix approach Norman Drapper
Co-Authors Andrean Andrean Angelina Fitria Rina Sari Fitria Rina Sari Athalia Theda Tanujaya Citra Eva Christine Erwin Erwin Fitriano, Andre Francka Sakti Lee Hendri Vinchen Jan Horas Veryady Purba Jon Rika Sitepu Justin Handoko Wijaya Leonard Leonard Mardiyati Mardiyati Mawaddah Harahap Norman Emil Ramadhan Novyriantika Novyriantika Nurdesri Srahputri Riandi Halim Ridwan Arifin Ritha Fathiah Rochim Suratman Rodiyah - Sigit Puji Santosa TRI SUTRISNO Viny Christanti M Wasino Wasino Wendy Winata Wendy Winata Willyanto Willyanto Yan Sentosa Nainggolan Yandi Suprapto Yudhi Priyo Amboro Yuswardi Yuswardi Zyad Rusdi