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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer Jurnal Sarjana Teknik Informatika Jurnal Informatika dan Teknik Elektro Terapan TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Technologia: Jurnal Ilmiah Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Teknologi Informatika dan Komputer Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Journal of Practical Computer Science (JPCS) Journal Of Artificial Intelligence And Software Engineering JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Prajoko .
Universitas Muhammadiyah Sukabumi
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Journal : Pixel : Jurnal Ilmiah Komputer Grafis

 1 
Sistem Rekomendasi Paket Diskon Barang dengan Algoritma Apriori di Toko Ryzy Widdy Arfiansyah; Iwan Rizal Setiawan; Prajoko Prajoko
Pixel :Jurnal Ilmiah Komputer Grafis Vol 15 No 2 (2022): Vol 15 No 2 (2022): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v15i2.887

Abstract

Discount is a sales strategy that lowers the price offered to buyers in the hope of increasing sales profits. However, when offering these discounts, stores often don't think about how discounted products can attract customers, so a support system is needed that can respond to the right and appropriate discounts. This support system with data mining techniques using apriori algorithm. This apriori method can search for several products that are often purchased simultaneously, therefore when juxtaposed with this study the effectiveness of the recommendations will be very good. Not only that, if it is added with a combination of recommendations with discounts, it will make customers interested to buying the product. The expected result of this research is to obtain a new sales strategy by making recommendations on items that will be used as discount packages.
PENENTUAN PEMBUKAAN CABANG BARU TOKO SINAR RIZKY MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING ( SAW) Narti fitrianti; Prajoko Prajoko; Lelah Lelah
Pixel :Jurnal Ilmiah Komputer Grafis Vol 16 No 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.927

Abstract

For shop owners, deciding to open a new strategic branch is one of the main keys in establishing their business. In determining a good place will provide advantages for the shop owner. In determining a place, there are several ways that will be considered in an effort to develop its business and have criteria, these criteria will later become a consideration for choosing a strategic place. Deciding to open a new branch takes a long time because the criteria given may not meet the desired criteria. And in determining a place is not easy because you have to know the distance between one branch to another, so it requires a strategic and efficient place so that the shop owner can be accepted easily by a consumer. Therefore, to be more effective and efficient, a system is needed that functions to assist an entrepreneur in determining which place is suitable for occupancy. In this research, the method that will be used is Simple Addicie Wighting (SAW). The SAW method will process data by assigning a weight value to the criteria that will be used as a reference by making decisions after which a decision matrix value will be made based on the criteria. From the results of the study, it can be the best recommendation for the shop owner to establish a strategic place of business in accordance with the wishes of Sinar Rizky Stores. So using the SAW method, it has the highest rating value which is which area can be used as a place to open a new branch at the Sinar Rizky store. Keywords : Simple Addictive Weighting (SAW), Determination of New Branch Opening at Sinar Sizky Store
IMPLEMENTASI WEIGHTED PRODUCT DALAM PENENTUAN PEMENANG GIVEAWAY PADA TOKO BOUTIQUE Ayudita Puspitasari; Lelah Lelah; Prajoko Prajoko
Pixel :Jurnal Ilmiah Komputer Grafis Vol 16 No 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.930

Abstract

The giveaway activity is a marketing activity carried out by a brand with the aim of attracting market attention, and introducing the brand more broadly to potential customers. By distributing prizes to selected customers. In this activity, several problems emerged, namely the Sukabumi Boutique Store admin felt that it was not objective because the process of determining the winner of the giveaway was only through the picker application on the cellphone, so that the giveaway winners who appeared did not pay attention to certain criteria and requirements. Determination through the picker application is only done by drawing a lot by looking at the name that appears first. Selection like this is considered unfair for customers who already feel they meet all the criteria and requirements but do not win the giveaway. In the implementation of the simulation of determining the winner of the giveaway, a method is needed that can solve these problems. The weighted product method is a ranking method where decisions are made by multiplying to connect attribute ratings. This process begins with inputting alternative data, then continues with the process of inputting several criteria that have been selected, namely, number of transactions, quantity of shopping, total visits, resellers. This selection process will determine the giveaway winner in a more targeted and more objective manner by taking into account certain criteria and requirements. Keywords: Giveaway, Weighted Product, Boutique Sukabumi, Picker App
Co-Authors Adi Sunarto, Asril Afiansyah, Rifan Afrilia S, Nandita Agung Pambudi Agung Pambudi Agung Pambudi Agung Prakarsa Alpiana, Deni Anadella, Shakira Andriyana, Rifki Asep Budiman Kusdinar Asril Adi Sunarto Asriyanik . Ayudita Puspitasari Aziz Jabbar, Fazli Budiman Kusdinar, Asep BudimanKusdinar, Asep Didik Indrayana Diyo Sukma Pradana Eko Farhan, Arief Fahrizal Fahrizal Fathia Frazna Az-Zahra Frazna Az-Zahra, Fathia Ganjar Gumilar George Pri Hartawan Hartawan, George Pri Herdiansah, Mohamad Firdaus Indriyana, Didik Ismuhamdan, M. Elki Iwan Rizal Setiawan Larasati Mayan Pramesti Lelah Lelah Mohamad Firdaus Herdiansah Mubharak, Gilang Fauzul Muhammad Gelar Andhika Narti fitrianti Nasrul, Elvan Nur Afiati, Alfi Pambudi, Agung Rambe, Sarah Syakira Restu Shafira Rifqi Almadani, Muhammad Siti Rahma, Leonie Tiara Amelia Widdy Arfiansyah Winda Apriandari