Claim Missing Document
Check
Articles

Found 3 Documents
Search

Sistem Pendukung Keputusan Menggunakan Metode Simple Additive Weighting dalam Meningkatkan Pendapatan Jasa Fotografi Bufra, Fanny Septiani; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (December 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.997 KB) | DOI: 10.37034/infeb.v2i4.53

Abstract

The photography business grew very rapidly and was very profitable. The intense competition made the photo studio suffer losses and even went out of business because it was unable to compete and made wrong decisions. Like during the Covid-19 Pandemic in 2020, several photo studios experienced a decline in revenue because there were no bookings for photo services or canceling agreed projects. The purpose of this study is to assist the owner of a photo studio or photographer in determining the best decision from an investment plan that has been planned based on predetermined criteria in order to increase photography service income. In this study using the Simple Additive Weighting method. The variables that are the main criteria in this decision-making system are Cost, Productivity, Priority Needs, and Availability. The alternative data used is the Photo studio Investment Plan data in July 2020. Based on the results of the calculations using the Simple Additive Weighting method, the results show that Alternative 1, namely Paid Promotion on Social Media, is recommended as the best decision with the highest preference value of the 12 sample data. tested is 0.93. Comparison of data from manual counting with the system created, namely the Website-based Decision Support System, resulted in the same calculation value. So that the accuracy value is 100% and is declared accurate. With this Decision Support System, it can produce objective decisions to assist owners in determining investment plans that can increase income from photography services. Bisnis fotografi tumbuh sangat pesat dan sangat menghasilkan. Ketatnya persaingan membuat studio foto mengalami kerugian bahkan sampai gulung tikar karena tidak mampu bersaing dan salah dalam mengambil keputusan. Seperti pada masa Pandemi Covid-19 ditahun 2020, beberapa studio foto mengalami penurunan pendapatan karena tidak adanya yang booking jasa foto ataupun membatalkan project yang telah disepakati. Tujuan dari penelitian ini adalah untuk membantu owner studio foto atau fotografer dalam menentukan keputusan terbaik dari rencana investasi yang sudah direncanakan berdasarkan kriteria yang telah ditentukan agar dapat meningkatkan pendapatan jasa fotografi. Penelitian ini menggunakan metode Simple Additive Weighting. Variabel yang menjadi kriteria utama pada Sistem Pengambilan Keputusan ini yaitu Biaya, Produktivitas, Prioritas Kebutuhan, dan Ketersediaan. Data alternatif yang digunakan yaitu data Rencana Investasi studio Foto pada bulan Juli 2020. Berdasarkan hasil dari perhitungan dengan menggunakan metode Simple Additive Weighting ini, didapatkan hasil bahwa Alternatif 1 yaitu Promosi Berbayar di Sosial Media direkomendasikan sebagai keputusan terbaik dengan nilai preferensi tertinggi dari 12 data sampel yang diuji yaitu 0.93. Dilakukan perbandingan data dari hitungan manual dengan sistem yang dibuat yaitu Sistem Pendukung Keputusan berbasis Website menghasilkan nilai perhitungan yang sama. Sehingga nilai keakurasiannya adalah 100% dan dinyatakan akurat. Dengan adanya Sistem Pendukung Keputusan ini dapat menghasilkan keputusan objektif untuk membantu owner dalam menentukan rencana investasi yang dapat meningkatkan pendapatan jasa fotografi.
Analysis of Pension Fund Payment Data Processing Information System Design Antari, Primadela; Bufra, Fanny Septiani; Andesti, Cyntia Lasmi
Journal of International Accounting, Taxation and Information Systems Vol. 1 No. 3 (2024): August
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v1i3.58

Abstract

Research has been carried out at PT. Pos Indonesia (Persero) Lubuk Sikaping, and problems were found regarding the processing of pension fund payment data, where data processing was still manual and data storage still used folders and stored in filing cabinets. The report creation process is long and inefficient. In writing this research using the SDLC development method (System Development life Cycle) using the Visual Basic 6.0 programming language. In the results of this research, the design analysis used is the Information System Flow. The results of this research are a new system that has the advantage of minimizing the risk of errors or errors error which occurs in processing pension fund payment data as well as assisting in preparing reports and archiving data. It is hoped that PT Pos Indonesia (Persero) Lubuk Sikaping can apply and use this new system and can overcome problems in processing data on pension fund payments.
Rule Based System Pemilihan Alternatif Merek Pembelian Notebook dayat, nurhidayat; Antari, Primadela; Bufra, Fanny Septiani
Jurnal Teknologi Informasi dan Masyarakat Vol 1 No 2 (2023): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v1i2.30

Abstract

With dozens of brands on the market, designed sustainably with the latest technology, making notebooks a complex product. Buyers use different notebook attributes in comparing alternative notebook brands with processor, memory system, screen, graphics, overall performance as determining attributes. Forward chaining is a strategy for drawing conclusions that starts from a number of known facts, to obtain a new fact by using rules that have premises that match the facts and continues until the goal is reached or until there are no rules that have suitable premises. or until you get the facts. Expert systems act as smart advisors or consultants by retrieving knowledge stored in a knowledge base. Even an inexperienced user, as long as they have a general understanding of how diagnostic equipment works, can solve complex problems and can make appropriate and accurate decisions like an expert would.