Article Per Year (5 Year)
p-Index From 2021 - 2026
4.273
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal TAM (Technology Acceptance Model) Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Informatika Global Jurnal Teknologi Komputer dan Sistem Informasi Jurnal PkM: Pemberdayaan Masyarakat Computer Science (CO-SCIENCE) Indonesian Community Journal Jurnal Teknologi Sistem Informasi Klik - Jurnal Ilmu Komputer Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Teknologi Informasi IC Tech: Majalah Ilmiah MDP Student Conference Journal Of Artificial Intelligence And Software Engineering Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal TAM (Technology Acceptance Model) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) IC Tech: Majalah Ilmiah
Mulyati Mulyati
Program Studi Sistem Informasi, Universitas Multi Data Palembang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Transportation Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal Of Artificial Intelligence And Software Engineering

 1 
Design Of Decision Support Systems Determining Priority Customers PT. XYZ with Topsis Method Web Based Mayrizkiy, Muhamad Dafhi; Mulyati, Mulyati
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6464

Abstract

The priority customer assessment process at Company XYZ has a direct influence on increasing the company's operational profits. There are problems in determining priority customers by companies resulting in reduced efficiency and the potential for financial losses due to the use of random, manual and individual opinion-based selection methods, causing significant waste of time. The aim of this research is to design a Decision Support System (DSS) based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which can help the priority customer assessment process effectively. This system has several assessment indicators that are used to assess priority customers, namely number of orders, length of subscription, amount/nominal payment, payment history. The results of testing and system implementation show that Customer D's alternative received the highest score, namely 0.839, followed by other alternatives with appropriate assessments. With the TOPSIS method, company XYZ can make better decisions related to the weight of the criteria based on the provisions of the criteria that have been determined and can determine the weight of the criteria objectively, prioritize criteria based on customer eligibility levels, and speed up the assessment process. As a result, assessments become fairer, more accurate and in line with company expectations.
Implementation of the SMART (Simple Multi-Attribute Rating Technique) Method in a Web-Based Decision Support System for Job Promotion Proposals at XYZ Company Fadhillah, Aginda Noor; Mulyati, Mulyati
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6417

Abstract

Proses kenaikan jabatan karyawan di perusahaan XYZ merupakan langkah strategis yang mempengaruhi perkembangan organisasi dan kesejahteraan karyawan. Namun, tantangan berupa penilaian yang tidak terstruktur dan potensi ketidakkonsistenan dalam pengambilan keputusan dapat menghambat proses ini. Penelitian ini bertujuan untuk merancang Sistem Pendukung Keputusan (SPK) berbasis metode Simple Multi Attribute Rating Technique (SMART) guna mendukung proses pengusulan kenaikan jabatan karyawan. Sistem yang dirancang mengintegrasikan berbagai kriteria, seperti masa kerja, pendidikan terakhir, capaian kinerja, serta penilaian perilaku kerja. Berdasarkan implementasi dan pengujian sistem, hasil evaluasi menunjukkan bahwa alternatif keempat mendapatkan skor tertinggi sebesar 85,65, diikuti oleh alternatif lainnya dengan rekomendasi yang sesuai. Sistem ini terbukti efektif dalam memfasilitasi proses penilaian yang lebih terukur dan konsisten, sehingga memudahkan manajer dalam mengambil keputusan yang lebih cepat dan tepat. Dengan demikian, penerapan sistem ini diharapkan dapat memberikan kontribusi positif terhadap pengembangan sumber daya manusia dan mendukung efektivitas organisasi secara keseluruhan.
Co-Authors Abdul Rahman Agung Wijaya Agustina Heriyati Agustina Heryati Anggoro Aryo Anggoro Aryo P Anggoro Aryo P Bastian, Rendi Triberni Candra Setiawan Daniel Udjulawa Darmawan Susilo Dimas P, Krispinus Pierre Dorie Pandora K Dwi Prasetyo, M. Almuhaimin Fadhillah, Aginda Noor Farisi, Ahmad Fauziah Afriyani Ferdiansyah Ferdiansyah Harsi Romli Indah Pratiwi Putri Innatsa Saffa Tarisha Iski Zaliman Jody Toha, Christian Kurniawan, Febryansyah Lais, Nathacia Liandry, Stiven Lutfhiyah, Athifah Martadinata, A. Taqwa Mayrizkiy, Muhamad Dafhi Nur Amalia Rizka Aktori Putri, Risa Adinda Raditya Putra Rasyidien Rahmana, Muhamad Yusuf Siti Nabila Nada Tiara Sri Susanto Steven Saputra Steven Wijaya Terttiaavini, Terttiaavini Wijaya, Rahmad Adi Yahya, Leonardo Yanto, Cicilia Hendri Yogaswara, Andre