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Penerapan Algoritma Apriori untuk Menentukan Tata Letak Barang (Studi Kasus: Swalayan S&M Mart) Taufiq Martiwansyah; Debby Alita; Auliya Rahman Isnain; Nuroji Nuroji
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 4, No 2 (2023): Volume 4 Nomor 2 Juni 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v4i2.2594

Abstract

Saat ini teknologi informasi berkembang begitu cepat sehingga kebutuhan terhadap informasi semakin meningkat, Begitupun persaingan dunia bisnis untuk senantiasa mengembangkan bisnis mereka dan juga agar selalu bertahan dalam persaingan,Untuk mencapai hal itu dilakukan dengan meningkatkan kualitas produk, penambahan jenis produk, pengurangan biaya operasional dan dilakukan analisis data di sebuah toko, Pengaturan tata letak (layout) merupakan suatu keputusan penting untuk menentukan efisiensi sebuah Manajemen operasional secara jangka panjang. Dengan menggunakan data transaksi penjualan pada tahun 2020-2021 sebanyak 2.024 transaksi dan minimal support 30% dan confidence 80% yang sudah ditetapkan didapatkan hasil 15 rules dengan 2 kombinasi item menghasilkan produk yang sering dibeli bersamaan dengan confidence 0,805 yang terendah sampai dengan confidence 0,836 yang tertinggi, Berdasarkan pembahasan dengan penerapan Algoritma Apriori dalam rapidminer yang sering dibeli bersamaan sehingga disarankan untuk mengoptimasi apakah di pakai promo atau tata letaknya diatur kembali, sehingga produk ini bisa di letakan secara bersamaan atau berdekatan.
Penerapan Multi-Attribute Utility Theory (MAUT) Dalam Penentuan Pegawai Terbaik Nuroji Nuroji
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 1 No. 2 (2022): Volume 1 Number 2 September 2022
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v1i2.7

Abstract

The best employee selection information system is an information system used by an organization or company to support the selection process and selection of the best employees or employees. This study aims to select the best employees using criteria of Ability, Discipline, Performance, and Responsibility by applying the multi-attribute utility theory (MAUT) method as a consideration for decision making. The calculation results of the MAUT method resulted in the best employee recommendation obtained on behalf of Handoko with a value of 0.7705 getting rank 1. 2nd place was obtained by Yessi with a value of 0.502, 3rd place was obtained by Galuh with a value of 0.2512, 4th place was obtained by Jenni with a value of 0.1991, and 5th place was obtained by Wahyu with a value of 0.1742.
Sistem Pendukung Keputusan Penentuan Pelanggan Terbaik Menggunakan Profile Matching A. Ferico Octaviansyah Pasaribu; Nuroji Nuroji
Journal of Data Science and Information Systems Vol. 1 No. 1 (2023): Volume 1 Number 1 February 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i1.16

Abstract

The purpose of this study is to determine the best customer from the customer loyalty indicator which will measure the extent to which customer loyalty is formed by the company's efforts. So that other customers become more motivated from the rewards given by the company for determining the best customer. The best customer decision support system assists companies in automation and computerization in determining the best customers based on criteria set by the company. The results of data collection obtained the criteria used in determining the best customer, namely total payments, purchase frequency, and type of payment. The results for determining the best customer for rank 1 were obtained by a customer named Sri Widianingsih with a final score of 3.04. Rank 2 was obtained by a customer with the name Ahmad Budiantoro with a final score of 2.9175. Rank 3 is obtained by a customer with the name Kusumaningrum with a final score of 2.5975.
Penerapan Intrusion Detection and Prevention System (IDPS) pada Jaringan komputer sebagai pencegahan serangan Port-Scanning Nuroji Nuroji
Journal of Data Science and Information Systems Vol. 1 No. 2 (2023): Volume 1 Number 2 May 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i2.35

Abstract

Keamanan adalah faktor penting yang harus dipertimbangkan saat perangkat terhubung ke jaringan internet publik. Ancaman seperti pencurian informasi, kehilangan atau manipulasi data, dan gangguan layanan sering terjadi pada jaringan publik. Sebagai administrator jaringan, keharusan untuk terus memantau dan mencegah ancaman keamanan, terutama terhadap jaringan, untuk mengurangi risiko dan kerugian yang ditimbulkan oleh tindakan yang tidak bertanggung jawab. Aplikasi Port Scanner digunakan untuk memperoleh informasi atau status protokol dan port yang terbuka pada suatu perangkat. Dari informasi tersebut, serangan terhadap sumber daya jaringan dapat dilakukan, seperti Distributed Denial of Service (DDoS). Oleh karena itu, peneliti melakukan mitigasi terhadap serangan Port Scanner pada Router Mikrotik dengan menerapkan metode Port Scan Detection (PSD).
Penerapan Metode Agile Dalam Permodelan Sistem Informasi Inventory Barang Nuroji Nuroji
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 4 (2023): Volume 1 Number 4 December 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i4.82

Abstract

Problems in inventory management often arise as a significant challenge for companies. One common problem is an imbalance between inventory and customer demand, which can lead to financial losses due to overstock or lost business opportunities due to stockouts. The application of the Agile method in modeling inventory information systems is a responsive and adaptive approach to changes in a dynamic business environment. The results of the recapitulation of the 8 test criteria that have been carried out obtained the results of the number of answers from respondents, which have a value of 100% in accordance with testing the functionality of the system using blackbox testing.
Analisis Perbandingan Metode SMART dan MOORA Dalam Penentuan Pelanggan Terbaik Very Hendra Saputra; Nuroji
Jurnal Media Jawadwipa Vol. 1 No. 2 (2024): Volume 1 Number 2 February 2024
Publisher : CV. Keranjang Teknologi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/mediajawadwipa.v1i2.48

Abstract

Determining the best customers is a critical process in customer management where companies seek to identify and assess customers who contribute most significantly to business success. The problem that occurs in determining the best customer is that there is no method used in determining the best customer, so far only based on the number of purchases from customers without any other aspects that are decisive. This study aims to apply and compare the determination of the best customers using the SMART and MOORA methods so as to provide better insight to decision makers about the choice of method that best suits the characteristics and complexity of the decision at hand. The ranking results show that the best customers are obtained by Sulistia with rank 1 either using the SMART method or the MOORA method. A comparison of ranking results between the SMART and MOORA methods can provide useful insight into the extent to which both methods are effective in addressing multi-criteria decision making. Based on the results of the ranking comparison between the SMART and MOORA methods, there are differences in rankings in 2 data, namely on behalf of Handoko with the SMART method getting rank 3 and with the MOORA method getting rank 2, and on behalf of Subagio with the SMART method getting rank 2 and with the MOORA method getting rank 3. The results of the comparison between the SMART and MOORA methods in determining the best customers recommend the MOORA method compared to the SMART method, because the results of the conformity level of the MOORA method get a value of 99.996% higher than the SMART method which gets a value of 99.995%.
Kombinasi Metode Pembobotan Rank Reciprocal dan Simple Additive Weighting Dalam Pemilihan Tempat Servis Kendaraan Nuroji Nuroji
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 2 (2024): Volume 2 Number 2 April 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i2.117

Abstract

The choice of vehicle service place is an important decision for vehicle owners because it will affect the quality of maintenance and service received by their vehicle. Some of the problems that may arise in the selection of vehicle service places include uncertainty in service quality, unaffordable prices, lack of availability of spare parts, and communication problems between customers and mechanics. The combination of reciprocal rank weighting (RR) and simple additive weighting (SAW) methods in vehicle service site selection can improve accuracy and objectivity in decision making. The RR method is used to derive the relative ranking of each alternative based on the decision maker's preference for certain criteria, while the SAW method is used to weigh and combine the weights of criteria in a structured manner. The ranking results gave a rank 1 result with a value of 0.9256 obtained by TR Service Place, rank 2 with a value of 0.8291 obtained by the AS Service Place, and rank 3 with a value of 0.7884 obtained by DW Service Place.