Article Per Year (5 Year)
p-Index From 2019 - 2024
1.285
P-Index
This Author published in this journals
All Journal Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Jurnal Ticom: Technology of Information and Communication Jurnal Pengabdian Pada Masyarakat Artinara Jurnal Ticom: Technology of Information and Communication
Atik Ariesta
Universitas Budi Luhur
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Jurnal Ticom: Technology of Information and Communication

 1 
Analisis Sentimen Masyarakat terhadap Tim Nasional Indonesia pada Piala AFF 2020 Menggunakan Algoritma K-Nearest Neighbors Aditya Eka Pratama; Atik Ariesta; Grace Gata
Jurnal Ticom: Technology of Information and Communication Vol 10 No 3 (2022): Jurnal Ticom-Mei 2022
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

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

Abstract

Media sosial twitter adalah salah satu media komunikasi yang diminati oleh masyarakat di dunia. Hal ini dapat terjadi karena twitter memiliki jumlah pengguna aktif sebesar 313 juta per bulan pada tahun 2016 dan sebagian besar pengguna mengakses twitter melakui perangkat mobile yaitu sebesar 82%. Karena jumlahnya banyak, maka menimbulkan tweet yang banyak. Tweet tersebut berisi tentang kabar terbaru atau komentar yang sedang menjadi topik didunia. Hal hal yang menjadi topik atau banyak dikomentari pengguna akan menimbulkan trending di twitter. Pada piala AFF 2020 ini, Indonesia memanggil 30 pemain dengan rata-rata usianya 23,8 tahun lebih muda dari skuad tim lain yang berlaga di ajang AFF 2020. Tentu banyak risiko menurunkan skuad yang didominasi pemain muda. Mulai mental yang belum teruji, emosi gampang lepas, sampai ketergesa-gesaan. Tapi di sisi lain, deretan anak muda itu juga menumbuhkan harapan, semangat, staminia menggelora, dan bekal persiapan untuk menuju ke turnament event yang akan datang. Peneliti menggunakan metode CRISP-DM (Cross- Industry Standard Process For Data Mining) dan mengimplementasikan algoritma K-Nearest Neighbors(K-NN) untuk klasifikasi data. Data yang digunakan dalam penelitian ini berjumlah 22.182 data yang diambil dari tanggal 30 November 2021 – 06 Januari 2022. Setelah data diproses dengan metode CRISP-DM dan implementasi algoritma K-Nearest Neighbors(K-NN), didapatkan akurasi sebesar 67.49%, precission sebesar 78.99% dan recall 47.69%.
Sistem Penunjang Keputusan Pemilihan Pelanggan Prioritas Dengan Metode SAW Pada PT. Tixpro Informatika Megah Putri Natasa; Bima Cahya Putra; Atik Ariesta; Yuliazmi Yuliazmi
Jurnal Ticom: Technology of Information and Communication Vol 11 No 3 (2023): Jurnal Ticom-Mei 2023
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

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

Abstract

PT. Tixpro Informatika Megah is a trading company that focuses on Information Technology (IT) products, which have problems with the product distribution process, because there are several limited products, which are caused by product deliveries from unpredictable suppliers. So this research proposes to implement a decision support system (DSS) application for selecting priority customers using the Simple Additive Weighting (SAW) method, with the aim of obtaining selected customers as priorities in product distribution and the selected customers getting 50 grams of metal gold. The criteria that will be used in the DSS application are total purchases, payment accuracy, number of transactions (per month), delivery distance, credit limit value, and length of subscription. In designing the DSS application, the programming language used is PHP, the database uses PhpMyAdmin, and the framework used is bootstrap. The conclusion of this study is that the DSS application for selecting priority customers using the SAW method can help users (admins) in making decisions about priority customers who are selected to be prioritized in distribution, because they have been selected with established limits such as criteria, sub-criteria, and weights. As well as with the validation module, the report team head who will be the determinant of final decision-making can make a priority customer order which according to him is better, as well as the module for printing validation reports and printing calculation reports can be given to leaders, as well as attachments that will be used by the head of warehouse for used as a reference in the distribution of products.
Desain E-Commerce Wahib Collection Dengan Business Model Canvas Untuk Meningkatkan Penjualan Seftifin Ratna Manda; Atik Ariesta; Deni Mahdiana; Lauw Li Hin; Ratna Kusumawardani
Jurnal Ticom: Technology of Information and Communication Vol 11 No 3 (2023): Jurnal Ticom-Mei 2023
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

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

Abstract

Technological developments are now very rapid, one of which is the internet. The internet is the main topic in today's society, with the internet people are able to carry out various activities such as buying and selling goods online. Nowadays buying and selling are very easy with a viral business model, namely e-commerce, so customers don't have to come to the store to make a purchase transaction. Wahib Collection store is a store engaged in the sale of clothing. Products sold are various kinds of clothing such as negligees, women's clothing, t-shirts, pants, and jackets. The Wahib Collection store was founded in 2000 and is a family-owned business that has been passed down to their children. The Wahib Collection store has a problem, namely the Wahib Collection store markets its products only by opening store stalls in the market with marketing coverage only around the store, recording at the store is still done manually so the recording is not appropriate, there has been a decline in sales due to the Covid-19 pandemic implementing social distancing and people must comply with health protocols and avoid crowds so that the market is quiet. This is the background for utilizing e-commerce as a platform for selling and buying online. The purpose of this research is to make marketing reach wider, data recording will be stored correctly on the website, and sales can be made online. The methodology used is interviews, document analysis, and literature studies with the development of the system using Rapid Application Development (RAD). so that a sales information system is formed using the WordPress Content Management System (CMS). The Business Model Canvas (BMC) determines the proposed business model based on the current business model. The results of this study, customers can make purchases online using the website, they don't have to come to the store and the store records are computerized.
Co-Authors Aditya Eka Pratama Anita Diana Bima Cahya Putra Deni Mahdiana Ferdiansyah Ferdiansyah Grace Gata, Grace Jeanie Annissa Lauw Li Hin Pipin Farida Ariyani Putri Natasa Ratna Kusumawardani Seftifin Ratna Manda Titin Fatimah Utomo Yuliazmi Yuliazmi