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All Journal Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Social Responsibility Projects by Higher Education Forum International Journal of Basic and Applied Science J-Com (Journal of Computer) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi)
Dewi Maharani
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : EDUMATIC: Jurnal Pendidikan Informatika

 1 
Simple Additive Weighting sebagai Metode Pendukung Keputusan terhadap Sistem Customer Satisfaction Ayu Rahmadani; Dewi Maharani; Sahren Sahren
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6374

Abstract

Nazwa drugstore is one of the stores that still use manual methods to recognize complaints about service for customers who come to the store, so it is felt to be less effective. Therefore, it is necessary to have a system to measure customer satisfaction in the store quickly and accurately. To build this system, we apply the Simple Additive Weighting (SAW) method to determine user satisfaction. The model used to build this system is the System Development Life Cycle (SDLC) with stages of analysis, design, implementation, and trial. At the analysis stage, we used interview and observation methods to collect data. Our design phase consists of a use case, a system interface, and a diagram class. Testing this system uses a black box to see if all the components of the system are working properly. Our findings are to produce a decision support system for customer satisfaction using the SAW method. In addition, this system also has a user-friendly and responsible interface, so this system is easy to use. The results of the black box test show that all components in this system are already functioning properly.
Penerapan Teorema Bayes pada Sistem Pakar Pendeteksi Penyakit Domba Ibman Andika; Dewi Maharani; Mardalius Mardalius
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6332

Abstract

Sheep are one of the livestock that can provide benefits such as meat, milk, and skin which are used as a source of income for the community, especially in the Asahan regency area.  However, still, the farmer's knowledge in terms of care and knowledge of sheep diseases can result in the sheep being able to die.  The purpose of this study was to create an expert system to diagnose sheep disease using the theory of Bayes. The waterfall is used as a model in this study with stages, analysis, design, implementation, and testing.  analysis was carried out to find the required data using observations and interviews.  The design of this system consists of Unified Modeling Language (use case ), diagram classes, flowcharts, and interfaces. Testing the system uses a black box which aims to find out the functionality of the system that has been implemented, and data analysis using the theory of Bayes.  Our findings resulted in bayes having an expert system for the diagnosis of diseases in sheep.  The results of Bayes analysis with the theory of Bayes showed that the disease experienced in sheep is deworming with a probability level of 60.71%.  The results of the black box test show that the functionality of this system is already running well
Co-Authors Andri Nata Ayu Rahmadani Endra Saputra Fitri Yunita Harahap, Indra Ramadona Helmiah, Fauriatun Ibman Andika Indah Purnama Sari Indah Risfia Khairiah Khairiah Mardalius Mardalius Masitah Handayani Muthia Dewi Nofriadi Nofriadi Nurul Rahmadani Nurwati Nurwati Rahayu, Elly Ricki Ananda Riki Andri Yusda Rolly Yesputra Sahren Sulasih Wijayanti Venny Novita Sari William Ramdhan Yupianti, Yupianti Zulfikar Abdi