Sistem Prediksi untuk Penentuan Jumlah Pemesanan Obat  Menggunakan Regresi Linier

Novita, Rice; Yani, Indr; Ali, Gunawan

doi:10.57152/malcom.v2i1.198

Cited by 5 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…MAPE menunjukkan persentase kesalahan antara hasil prediksi dengan nilai aktual pada periode tertentu [15]. Sebuah model dianggap mempunyai kinerja yang sangat baik jika nilai MAPE kurang dari 10%, dan model dianggap mempunyai kinerja yang baik bila nilai MAPE ada direntang 10% hingga 20% [16]. Ini dapat diartikan bahwa model yang digunakan memiliki kemampuan yang baik dalam memprediksi [17].…”

Section: Perancanganunclassified

“…Pengujian UAT dilakukan dengan tujuan mengetahui apakah aplikasi dapat memenuhi harapan dari pengguna dan bekerja sesuai dengan sebagaimana mestinya. Dengan kata lain, pengujian UAT merupakan pengujian yang dilakukan untuk mengetahui penerimaan sistem atau aplikasi yang dibangun [16]. Pengujian ini akan dilakukan pada responden yang merupakan user yang akan menggunakan aplikasi nantinya dengan mengajukan serangkaian pertanyaan yang berhubungan dengan hasil yang diinginkan [20].…”

Section: ) Pengujian User Acceptance Test (Uat)unclassified

See 1 more Smart Citation

Penerapan Metode Regresi Linier Untuk Prediksi Jumlah Orang Terlantar Di Provinsi Riau

Windy Amelia Putri,

M. Afdal,

Permana

et al. 2023

JSC

View full text Add to dashboard Cite

Displaced people are residents who for some reason cannot meet their needs naturally, both spiritually, physically, and socially. The problem of displaced people occurs for various reasons and urbanization is one of them. Social Service is a government agency that plays a role in improving the quality of social welfare of individuals, groups, and communities. Many community services are carried out by Social Service and one of them is the repatriation of displaced persons. Based on data from the Riau Province Social Service, the number of displaced people in Riau Province from year to year has increased or decreased erratically. This is of course a problem that hinders the Riau Province Social Service in its internal processes such as determining strategies or policies to make decisions. Therefore, this research was conducted to overcome these problems. This research was conducted using the linear regression method with a MAPE result of 7.09% which will be implemented into a prediction application for the number of displaced people and aims to help the Riau Province Social Service get information on the number of displaced people in the next period. Based on the results of the Blackbox test, shows that all menus and features have run very well and obtained a User Acceptance Test (UAT) calculation value of 92%.

show abstract

Section: Perancanganunclassified

Section: ) Pengujian User Acceptance Test (Uat)unclassified

Penerapan Metode Regresi Linier Untuk Prediksi Jumlah Orang Terlantar Di Provinsi Riau

Windy Amelia Putri,

M. Afdal,

Permana

et al. 2023

JSC

View full text Add to dashboard Cite

show abstract

“…Nutrition is still an important problem in children under the age of five. In addition, maternal, socioeconomic, and environmental factors all play a role in childhood malnutrition [22] [23]. In this study, the multiple linear regression method was used to predict what factors influence malnutrition in children .…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Machine Learning in Predicting Children's Nutritional Status With Multiple Linear Regression Models

Ula

Ulva

Mauliza

et al. 2022

mst

View full text Add to dashboard Cite

Forecasting is an important part of making plans and making decisions that can predict future events. Forecasting techniques in this study used multiple linear regression. This study aims to predict the number of cases of child nutritional status in children in each region. The purpose of this study was to see the results of predicting the number of children's nutritional status in each region and to make it easier to predict children's nutrition. The research method includes the analysis of the system built and the design of machine learning applications using the Multiple Linear Regression method. Then the system built can help predict the nutritional status of children in Aceh quickly, precisely, and accurately. The data used is data on the nutritional status of children in 2018, 2019, and 2020. Based on the results of forecasting for 2021 based on data obtained in previous years, the predicted results of total nutritional status in 2021 are 449,0912126. The results of this study indicate that the linear regression method obtains the best model results by being able to predict the implementation of machine learning.

show abstract

“…Drug demand prediction can be obtained from previous drug data. By using data mining, these data can be processed and used as a basis for predicting drug demand in the future using the linear regression method (Novita et al, 2022). Linear regression is a method of predicting data by using a straight line to represent the relationship between two or more variables.…”

Section: Introductionmentioning

confidence: 99%

Prototype Design of Web-Based Drug Inventory Prediction Application Using Multiple Linear Regression Methods at the X District Health Office

Putro,

Trihandini

2024

Contagion

View full text Add to dashboard Cite

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>The need for information systems is currently becoming very important, especially in terms of predicting drug needs in health care facilities, one of which is the health department. The availability of drug inventory prediction applications is expected to help health facility management optimize drug inventory levels so that they can use budgets effectively. The research aims to design an application that can meet the needs and facilitate the process of planning drug needs in health care facilities. This research is highly relevant to the aspects of pharmacy management, pharmacy data analysis, and information systems in the field of health, all of which are important topics in the development of effective and efficient health services. The research method used in this study is a qualitative method using the System Development Life Cycle (SDLC) model approach to develop information systems. The information system developed is a web-based information system that adopts a multiple linear regression system and the use of data mining as an algorithm in predicting drug needs. This is so that the allocation of drug provision budgets can be used effectively. The design of a drug data prediction information system using a linear regression method is intended to facilitate the process of planning drug needs that must be met in healthcare facilities. If this application design is implemented, it will help the management of healthcare facilities to optimize the level of drug inventory. This is because there is already a drug needs selection process that is in accordance with the drug needs condition needed by the hospital formation installation. Suggestions for further research can be developed to obtain information quickly about significant changes in drug needs or the potential risk of stockouts.</em></p><p><em><br /></em></p></td></tr></tbody></table></div><strong><em>Keywords: Data Mining, Drug Procurement, Medicine Needs</em></strong>

show abstract

Sistem Prediksi untuk Penentuan Jumlah Pemesanan Obat Menggunakan Regresi Linier

Cited by 5 publications

References 9 publications

Penerapan Metode Regresi Linier Untuk Prediksi Jumlah Orang Terlantar Di Provinsi Riau

Penerapan Metode Regresi Linier Untuk Prediksi Jumlah Orang Terlantar Di Provinsi Riau

Application of Machine Learning in Predicting Children's Nutritional Status With Multiple Linear Regression Models

Prototype Design of Web-Based Drug Inventory Prediction Application Using Multiple Linear Regression Methods at the X District Health Office

Contact Info

Product

Resources

About