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All Journal Jupiter CESS (Journal of Computer Engineering, System and Science) Jurnal Pengabdian Pada Masyarakat Jurnal Ilmiah Matrik Martabe : Jurnal Pengabdian Kepada Masyarakat JURIKOM (Jurnal Riset Komputer) Jurnal Informatika Global JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Bina Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Diana
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences Other

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APLIKASI E-DIAGNOSIS PENYAKIT ENDIMIK BERBASIS ANDROID MENERAPKAN METODE OPTIMASI NAÏVE BAYES Hadiyansyah Hadiyansyah; Diana Diana
Jurnal Ilmiah Matrik Vol 24 No 3 (2022): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v24i3.2002

Abstract

Lack of public understanding of endemic diseases can increase the number of sufferers. This study aims to build an e-diagnosis application to determine the type of endemic disease using the Naïve Bayes Optimization method. This application will be able to provide information about the disease suffered by the patient based on the symptoms entered in the application. The information provided includes a description of the disease, its causes and solutions. The application development stage adopts the stages in the Expert System Development Life Cycle (ESDLC) which includes project initialization, knowledge engineering process and implementation. The application of the Naïve Bayes Oprimization method produces a diagnosis result in the form of the type of disease dan its opportunities. The application can accessed by the public anywhere and anytime because this application is based on Android. Utilization of android can optimze the use of this application.
Penerapan Metode Fuzzy Tsukamoto Dalam Memprediksi Permintaan Barang Dwi Melina; Diana Diana
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3194

Abstract

Azthana Digital Media is a digital agency that works with a number of Indonesian vendors, including Pempek Mola, Pempek Kalani, and Eightsy Bag. Azthana oversees distribution and maintains warehousing for all three brands simultaneously. However, due to fluctuations in product demand, there are sometimes gaps in the supply of goods across all brands. So we need a method that can be implemented in inventory management and product development in the future. Forecasting strategies are useful tools for maintaining and expanding stock levels. In this study, researchers used the Fuzzy Tsukamoto technique built into a web-based inventory system to estimate consumer demand. Sales data, product purchases and goods production data are the three main inputs used to formulate demand forecasts. The results of this study can be concluded that the inventory system created can help the related team to find out the exact amount of stock available and to implement the Tsukamoto fuzzy calculations in predicting the demand for goods in the system that is running well as evidenced by the results of manual calculations and the system if the demand value is input equal to 355 with four fuzzy rules that are set together to produce a production value of requests for goods that must be ordered to suppliers of 522 packs.
PENERAPAN MESIN INFERENSI FUZZY METODE MAMDANI PADA SISTEM PREDIKSI JUMLAH PRODUKSI PEMPEK PALEMBANG Diana
JURNAL ILMIAH BETRIK Vol. 14 No. 02 AGUSTUS (2023): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v14i02 AGUSTUS.94

Abstract

This study aims to predict the “best’ amount of production so that there is no shortage of inventory or excess inventory. Fluctuations in the number of requests for crispy caused uncertainty about the amount of inventory and the amount of production. The Mamdani fuzzy method as a fuzzy logic inference engine can be used to overcome this uncertainty. The steps taken are to determine the inference system input, fuzzification, implication, aggregation and defuzzification. The set data used is supply (X) and demand (Y) for crispy pempek in December 2022. Furthermore, this data is mapped into the fuzzy membership function values using ascending function, decreasing function and triangular function graphs. At this stage, the fuzzy membership function equations are determined in 3 linguistic variables, each supply and demand input data will be mapped into a few, medium or many sets. The provisions that apply are if the fuzzy membership values are added up, it will produce a value of 1. Furthermore, at the implication, 9 basic rules are determined in IF-THEN rule. AT the aggregation stage use the max min function, where the maximum membership function value will be selected for supply and demand variables. In test data 1, the amount of inventory is included in the medium category with a fuzzy membership function value of 0,914 and the number of demand is included in the medium category with a fuzzy membership function value of 0,860 so that the membership function for the variables number of production is min {0.914, 0.860} = 0.860. The predicted ‘best’ production number in January are 306(LOM) and 271 (MOM). The Mamdani method can be applied to determine forecasting the amount of production so that the amount of inventory is as needed.
Co-Authors Abi Yansa Arif Athallah Arip Arip Beni Harzani Bunga Intan damayanti, selvia Dwi Melina Edi Surya Negara Firamon Syakti Fitria Apriani Hadiyansyah Hadiyansyah Hendra Prayitno Herdiansyah, M. Izman Iin Seprina Iin Seprina Noviani Noviani Ria Andika Siti Sauda Suci Ramadani Suzy Oktaria Kunang Suzy Oktavia Kunang Suzy Oktavia Kunang