Penyelesaian Masalah Pengelolaan Lumbung Pangan Desa Menggunakan Case-Based Reasoning dengan Algoritma K-Nearest Neighbor

Firdaus, Mgs. Afriyan; Indah, Dwi Rosa; Sevtiyuni, Putri Eka; Qonitah, Choirunnisa

doi:10.36706/jsi.v11i1.7699

Cited by 2 publications

(3 citation statements)

References 4 publications

(4 reference statements)

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“…6. Determination of poor people receiving zakat using The K-Nearest Neighbor Algorithm was made (Firdaus, 2021), One of the efforts to help overcome poverty in Sukabumi District, especially Surade District, is to offer zakat to the poor, which is a classification method using the neighboring k-nearest algorithm, aiming to classify the poor in Surade District so that zakat recipients are really poor and entitled to receive zakat according to the conditions required to receive zakat. 7.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(Hasanah & Mahdiyah, 2021) also conducted research using the C4.5 algorithm in Baznas Padang City to determine recipients of zakat funds. Meanwhile, (Firdaus, 2021) used the Algorithm (K-NN) to classify the determination of mustahik from poor people in Surade District. However, this research is only in the form of calculating and classifying whether someone is capable or not, so a system is needed that is interconnected between analysis to sort mustahik and information systems that can manage mustahik data so that it is easier for users to understand and zakat giving is more targeted.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Decision Tree and K-Nearest Neighbor Performance for Determining Mustahik

Amelia,

Aprianti

2023

Brilliance

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The problem of poverty is one of the fundamental issues of concern to the Indonesian government. One of the methods used by Islam to alleviate poverty is through zakat from Badan Amil Zakat Nasional (BAZNAS). Currently, the distribution of zakat is divided into two, namely in the form of consumptive zakat and productive zakat. Productive zakat is aimed at people who need business capital. To assist zakat managers in managing their funds, a mechanism is needed that can process mustahik data so that it can be selected more quickly and precisely using data mining. In this research, the data mining methods that will be used are K-nearest neighbor (KNN) and Decision Tree. The dataset used in this research is data obtained from BAZNAS and has been preprocessed to obtain a dataset with 7 attributes and 144 records. Decision trees, KNN Manhattan, and KNN Euclidean are used to predict mustahik candidates who are worthy of receiving zakat. The performance of the third method was tested using AUC and confusion matrix namely Accuracy, Precision, Recall, and F1 in each dataset split scenario of 70%:30%, 75%:25%, and 80%:20%. Based on the number of false positive and false negative results, the best performance obtained is KNN Euclidean with a dataset division scenario of 80%:20%.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of Decision Tree and K-Nearest Neighbor Performance for Determining Mustahik

Amelia,

Aprianti

2023

Brilliance

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“…It is illustrated by several regulations and policies governing national food security and the establishment of the Food Security Agency. Several studies have also discussed matters related to food security, including discussing the concept, measurement, and strategy [1], problems and challenges [2], strategies for improving the household [3], and the knowledge management of village granary management [ 4]. In support of the Food Security Program, the Ministry of Agriculture has established a policy on the distribution of subsidized fertilizer needs, especially for food crops, which are six right policies: right quantity, right time, the right type, right price, right place, and right quality.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Distribution Requirement Planning in the Subsidized Fertilizer Management System

Dayanti¹,

Firdaus

Meiriza

et al. 2020

Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)

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Food security is one of the Indonesian government's strategic programs. In support of the Food Security Program, the Ministry of Agriculture has established a policy on the distribution of subsidized fertilizer needs, especially for food crops, which are six right policies. Subsidized fertilizer distribution planning is very important to support the achievement of the six right policies because proper distribution planning will result in meeting the needs of farmers for fertilizer. Distribution Requirement Planning (DRP) method is used to determine the planning needs and it is expected that with the distribution pattern, good marketing stock, success in meeting the needs of the fertilizer stock inventory will be more optimal. In this paper, the DRP method will be used to optimize the role of subsidized fertilizer management systems. The case study for this paper is the warehouses of PT. Pupuk Sriwidjaja Palembang, namely PPD Sumsel, while the type of subsidized fertilizer that will become the scope is urea fertilizer. From this study can be concluded that the DRP method provides a more coordinated distribution reference for urea subsidized fertilizer. With the distribution schedule, the company can prepare everything so that it can distribute products. Moreover, the implementation of DRP in the subsidized fertilizer data management system is used to optimize existing data collection and reporting functions, by adding feature requirements according to the DRP concept such as fertilizer management of stock, demand and distribution, safety stock and DRP calculation, also fertilizer report for a company manager.

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Penyelesaian Masalah Pengelolaan Lumbung Pangan Desa Menggunakan Case-Based Reasoning dengan Algoritma K-Nearest Neighbor

Cited by 2 publications

References 4 publications

Comparison of Decision Tree and K-Nearest Neighbor Performance for Determining Mustahik

Comparison of Decision Tree and K-Nearest Neighbor Performance for Determining Mustahik

Implementation of Distribution Requirement Planning in the Subsidized Fertilizer Management System

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