Penerapan Algoritma Apriori dan Fuzzy Tsukamoto untuk Rekomendasi Jumlah Pembelian Barang dan Promo pada Toko Serba Ada

Adithama, Stephanie Pamela; Dewi, Findra Kartika Sari; Hariyadi, Eri Susanto

doi:10.30595/juita.v8i2.7142

Cited by 2 publications

(2 citation statements)

References 15 publications

(19 reference statements)

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“…About Research Results We previously published papers on integrated devices in the IoT software architecture model that are highly effective for automation (Angga . On the other hand, research (Adithama et al, 2020 ;Kaewwiset & Yodkhad, 2017) related to fuzzy studies to measure the performance of sensors integrated in microcontrollers can predict symptoms when the room temperature experiences extreme temperature changes, which requires algorithms and modeling as a testing tool.…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Fuzzy Logic for Chili Irrigation Integrated with Internet of Things

Prasetyo

Yusuf

Litanianda

et al. 2023

CNAHPC

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Chili, mustard greens, and tomatoes have always been farmers' favored crops, despite their high water and labor demands. Adapt to these conditions by utilizing smart agriculture systems (SAS) agricultural techniques that involve technology such as automatic irrigation that regulates watering based solely on routine, regardless of land conditions. This type of control during the transitional season can lead to root rot and fungisarium disease on chile plants. In the form of an embedded system with internet of things (IoT) monitoring, a system incorporating artificial intelligence such as fuzzy logic is proposed as a solution. Fuzzy logic will regulate irrigation based on the land's humidity and temperature using computational mathematics. Beginning with the fuzzyification stage to map the sensor's temperature and humidity input values, fuzzy logic is applied. The creation of an inference engine in the NodeMcu 8266 microcontroller to interpret fuzzy rule statements in the form of aggregation of minimum conditions with the AND operator, followed by the combination of a single set value of 0 and 1 in the fuzzy system to produce an appropriate actuator response After the entire system has been prototyped, testing is conducted to determine the responsiveness of the fuzzy program code to changes in the simulated agricultural cultivation land ecosystem. This study found that the fuzzy logic program code embedded in the nodeMCU8266 microcontroller effectively controls the spraying duration of the pump in response to various simulated environmental conditions within 3.6 seconds.

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Section: Literature Reviewmentioning

confidence: 99%

Implementation of Fuzzy Logic for Chili Irrigation Integrated with Internet of Things

Prasetyo

Yusuf

Litanianda

et al. 2023

CNAHPC

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“…Therefore perform the analysis of the products that alone are always booked and also products of what course the book is simultaneously in one-time order (Waroeng et al, 2017), which during this always be a difficulty in itself for the owner of the business trade. Ith perform analyzes the pattern of orders from customers can predict the supply of products, and the management can determine an increase in bookings to a product at the same time also manage the availability of the material standard that is required (Adithama et al, 2020). The research that is done before can help optimize sales and reduce a lot of the rest of the products that are not bought by analyzing the data from the transaction sales, which generate the data products are sold and a lot of interest and then also be able to prioritize material raw of product are selling sold for the procurement of materials raw with quantity which is more than the previous (Prasetyo et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Implementation of Apriori Algorithm With Customer Order Pattern Analysis for Determination of Raw Material Inventory

Prasetyo

Purwanto

Kholil

2021

jri

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Ordering products from home-based trading businesses have not utilized data mining algorithms that can help analyze transaction data to optimize product order transactions and also manage inventory on raw materials from products by reducing a lot of leftover raw materials and products that are not purchased by customers. To avoid the occurrence of a lot of raw material leftovers from products that are not in demand and to find out which types of products are in demand by customers, then the apriori algorithm is needed. The purpose of this research is that the owner can carry out good and efficient management of the availability of raw materials from the product so that the raw materials can be processed into products, which must be adjusted to the number of products ordered by customers so that there is no accumulation of raw materials from fewer transactions. The results obtained from this research are if a customer orders product H, then he will order product L with a support value of 42% and 83% confidence, if a customer orders product L then he will order product G with a support value of 67% and a confidence of 90% -100%, and if a customer orders product H, he will order product G with a support value of 42% and 100% confidence. From the rules of this association, it can be concluded that this business owner can determine the management of raw materials by prioritizing the materials used to make products from L, H, and G so that the purchase and use of raw materials for these products are more manageable and efficient.

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Penerapan Algoritma Apriori dan Fuzzy Tsukamoto untuk Rekomendasi Jumlah Pembelian Barang dan Promo pada Toko Serba Ada

Cited by 2 publications

References 15 publications

Implementation of Fuzzy Logic for Chili Irrigation Integrated with Internet of Things

Implementation of Fuzzy Logic for Chili Irrigation Integrated with Internet of Things

Implementation of Apriori Algorithm With Customer Order Pattern Analysis for Determination of Raw Material Inventory

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