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Journal : Journal of Artificial Intelligence and Technology Information

Penerapan Metode TOPSIS untuk Pemilihan Distributor Terbaik Agung Deni Wahyudi; Auliya Rahman Isnain
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 2 (2023): Volume 1 Number 2 June 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i2.41

Abstract

Sistem Pendukung Keputusan (SPK) merupakan sebuah bagian dari sistem informasi yang memanfaatkan teknologi informasi yang berbasis pengetahuan yang digunakan dalam pengambilan sebuah keputusan. Tujuan penelitian ini untuk melakukan pemilihan distributor terbaik menggunakan metode TOPSIS dengan menggunakan kriteria harga, pengiriman, kualitas, bentuk kemasan, serta retur. Hasil perhitungan manual menggunakan metode TOPSIS dalam pemilihan distributor terbaik, untuk peringkat 1 didapatkan oleh PT Agung Jaya dengan nilai sebesar 0,619, peringkat 2 didapatkan oleh CV Bintang Samudra dengan nilai sebesar 0,582, peringkat 3 didapatkan oleh CV Putra Mandiri dengan nilai sebesar 0,575. Dari keseluruhan kriteria Model DeLone dan McLeon untuk kesuksesan sistem informasi untuk aplikasi pemiihan distributor terbaik mendapatkan hasil Baik sebesar 82,5%.
Perancangan Sistem Informasi Monitoring Penjualan Motor Pada Divisi Digital Marketing Randy Julyan; Agung Deni Wahyudi
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 3 (2023): Volume 1 Number 3 September 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i3.63

Abstract

PT Tunas Dwipa Matra (TDM) Honda Raden Intan has problems monitoring motorcycle sales data, especially in the Digital Marketing Division, the Digital Marketing Division is a division that promotes sales through social media such as Facebook, Instagram and TikTok. The Digital Marketing Division has several positions such as Manager, Supervisor, Team Leader and Sales Sales. Every day the Supervisor and Team Leader are required to send a sales report to the Manager via Whatsapp then Sales send a report to the Supervisor and Team Leader respectively via Whatsapp as well. Reports sent such as how many sales today, what units sold, types of credit or cash sales and problems in the sales process. The website-based motorcycle sales monitoring information system is expected that sales data in the Digital Marketing Division will be stored properly, and can be needed at any time, because sales data has been systemized. Then in order to make it easier to determine the amount of stock that must be provided, a sales forecasting method is needed so that it can be a consideration for companies in procuring stock inventory in the future.
Analisis Kepuasan Terhadap Pelayanan Supplier Menggunakan Metode A New Additive Ratio Assessment (ARAS) Wahyudi, Agung Deni
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.105

Abstract

Analysis of company satisfaction with supplier services is a critical step in maintaining a sustainable relationship between the company and its suppliers. Problems experienced in customer service satisfaction there is no model that can assess company satisfaction in terms of service from suppliers. Thus, the analysis of company satisfaction with supplier services is not only an evaluation instrument, but also an important strategy in achieving competitive advantage through effective and sustainable supply chain management. The purpose of this study is to measure the level of company satisfaction with supplier services by applying the ARAS method which will produce a decision in the form of a final ranking of company assessment data on supplier services. The final ranking results show satisfaction with the highest supplier service obtained by the name of the Berkah Sejahtera supplier with a final value of 0.9384 getting rank 1, then the name of the Harmoni supplier with a final value of 0.9359 getting rank 2, then the name of the supplier Indah Karya with a final value of 0.9106 getting rank 3.
Kombinasi Metode Rank Order Centroid dan Operational Competitiveness Rating Analysis Dalam Seleksi Penerimaan Staff Perpustakaan Wahyudi, Agung Deni; Sulistiyawati, Ari
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.136

Abstract

Library staff are personnel who work in libraries and are responsible for managing, organizing, and providing various information services to library users. This selection process usually involves several stages, ranging from meeting administrative requirements to assessing the technical and interpersonal abilities of prospective staff. Problems that occur in the selection that do not have clear assessment guidelines can lead to highly subjective assessments, where decisions are influenced more by personal opinion than objective criteria. The purpose of this study is to apply a more objective, structured, and targeted approach to the selection of library staff admissions through a combination of ROC and OCRA methods that produce a selection model that can be applied to various library institutions, as well as support the improvement of service quality and library management through the selection of qualified staff. The results of the evaluation using the OCRA method, the candidate with the highest final score was Candidate H with a score of 0.9133, which placed him in the first rank as the most suitable candidate for the position of library staff. Candidate E was ranked second with a score of 0.8339, showing almost comparable performance and also very competitive. In third place is Candidate B with a final score of 0.3578. The results of this ranking help in identifying the best candidates and show qualitative differences between each prospective staff, supporting the decision-making process in the admission of library staff.