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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Mirai Management Telcomatics
Jacky jacky
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Mathematics Other

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PERANCANGAN APLIKASI PENJUALAN PADA TOKO BUAH MINIMARKET ESI BERBASIS DESKTOP DAN WEBSITE Jacky jacky
Jurnal Ilmu Komputer dan Sistem Informasi Vol 5, No 1 (2017): 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.v5i1.772

Abstract

"Perancangan Aplikasi Penjualan Pada Toko Buah Minimarket ESI berbasis Desktop dan Website merupakan sebuah aplikasi e-commerce yang berbasis desktop dan website. Basis desktop digunakan untuk penginputan data, data buah dan kasir, hanya digunakan oleh admin. Basis website memiliki fitur untuk pemesanan buah online, input buah dan laporan penjualan. Pengujian dilakukan dengan tujuan agar didapatkan hasil dari permrosesan yang dilakukan oleh aplikasi, setelah melakukan pengujian terhadap integrase data antara basis desktop dan basis website, maka dapat disimpulkan bahwa kedua data sudah terintegrasi dan terhubung dengan baik. Berdasarkan hasil kuisioner dapat disimpulkan bahwa pemilik maupun pengguna tertarik untuk menggunakan aplikasi tersebut.
PERANCANGAN APLIKASI E-COMMERCE DENGAN METODE COLLABORATIVE FILTERING DAN APRIORI Jacky Jacky; Desi Arisandi; Manatap Dolok Lauro
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 (267.187 KB) | DOI: 10.24912/jiksi.v8i1.11475

Abstract

This e-Commerce application is an application for Rajawali Electric Store. This application is made using Collaborative Filtering and Apriori method to recommend products from Rajawali Electric Store. This Application will give product recommendations based on user transactions and user rating. Transaction data used in Apriori method were taken from Rajawali Electric store transaction data, while rating data in Collaborative Filtering method were taken from several websites that have product rating. Results from Apriori method shows that with 50% support value, user that buys Recessed White 66664 and Bulb 19w CDL E27 A80 have the possibility of buying Bulb 14.5W E27 220-240V A67 with confidence value of 89.47%. Results from Collaborative Method produced different results based on users and types of products
Perancangan dan Pembuatan Alat untuk Mendeteksi Teks Hangul dan Inggris pada Menu Makanan Menggunakan metode OCR (Optical Character Recognition) Nimatul Mamuriyah; Jacky Jacky
Telcomatics Vol 6 No 1 (2021)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v6i1.5054

Abstract

Korean language has a different form of characters from the letters of the alphabet so that not everyone can read Korean characters. The number of Muslims in Korea who are in the minority results in the Korean people's understanding of halal food being very minimal. As a result, foreign tourists, especially Muslim tourists who come to Korea have difficulty choosing halal food. Based on these problems, the topic of this research is based on the image processing system (Image Processing) that is designed is the detection of the letters of the alphabet and Hangul (Korean characters) using the OCR (Optical Character Recognition) and Raspberry Pi as data processing so that it can recognize letter characters Hangul and alphabet that are already available in the database. The workings of this system are first to create a database of food data and certain words related to food menus. Then by using the Pi camera, scanning of the food menu is done. The data obtained will be processed by Raspberry Pi so that the system is able to detect food menus correctly. The results show that the system is able to detect food menus from text localization with an average accuracy rate of 88,333%. By using 4 different font types, the English text shows OCR data train still needs to be improved.
Implementasi Digital Marketing dan Customer Relationship Management Pada UMKM 2U Collection Lady Lady; Michelle Michelle; Cecilia Cecilia; Bendi Safero; Louis Hernandez; Jacky Jacky
Jurnal Mirai Management Vol 8, No 2 (2023)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v8i2.5432

Abstract

2U Collection merupakan salah satu UMKM Batam di bidang collection. 2U Collection merupakan toko yang didirikan sejak tahun 2013 dengan menjual berbagai jenis tas dan sepatu mulai dari fashion hingga model formal. Pada saat ini, 2U Collection belum melakukan digital marketing yang memiliki berbagai manfaat dalam UMKM ini sehingga penulis melakukan pengembangan digital marketing guna untuk mendukung kegiatan UMKM. UMKM 2U Collection sebelumnya hanya memiliki sosial media berupa whatsapp (pribadi). Penulis mengembangkan berbagai macam digital marketing berupa whatsapp business, google maps, website, Instagram, linktree, serta facebook. Dengan adanya berbagai pengembangan digital marketing, toko 2U Collection dengan beberapa produknya mulai dikenal oleh pengguna sosial media di instagram maupun facebook. Kata Kunci: Digital Marketing, UMKM, Sosial Media
Co-Authors Bendi Safero Cecilia Cecilia Desi Arisandi Lady Lady Louis Hernandez Manatap Dolok Lauro, Manatap Dolok Michelle Michelle Nimatul Mamuriyah