Klasifikasi Penerima Bantuan Sosial Program Keluarga Harapan  Menggunakan Metode Naive Bayes

Alfiah, Nurul

doi:10.35842/jtir.v16i1.386

Cited by 6 publications

(7 citation statements)

References 3 publications

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“…Hal ini dikarenakan banyak masyarakat tidak mampu yang tidak mendapatkan bantuan PKH, salah satunya karena situasi dengan keluarga kurang mampu yang memenuhi syarat untuk mendapatkan bantuan masih belum menentu ideal. [1] Maksud dari pemeriksaan ini adalah untuk membedakan susunan faktor-faktor yang sangat mempengaruhi kebutuhan informasi. Selain itu, hasil ini juga dapat memberikan informasi tambahan dalam meningkatkan sasaran kemiskinan di Jawa Barat bagi para pengarah kepentingan, khususnya bagi pemerintah Jawa Barat, pemerintah pusat dan masyarakat untuk mempercepat sasaran kemiskinan.…”

Section: Pendahuluanunclassified

Implementasi Data Mining Algoritma K-Means Untuk Klasifikasi Penduduk Miskin Berdasarkan Tingkat Kemiskinan Di Jawa Barat

Nurliana,

Irawan,

Bahtiar

2024

jati

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Penelitian ini menggunakan algoritma K-Means untuk menganalisis data populasi penerima manfaat Program Keluarga Harapan (PKH) di Desa Inbanagara Raya. Tujuan penelitian adalah menerapkan teknik data mining untuk menentukan prioritas penerima manfaat PKH. Uji Davies-Bouldin dilakukan dengan uji cluster dari 2 hingga 10, dan hasilnya menunjukkan nilai terbaik pada cluster ke-8 dengan indeks 0,002. Data ini mencakup atribut dan kriteria penerima PKH yang memenuhi standar yang ditetapkan. Diharapkan hasilnya dapat mendukung distribusi bantuan yang lebih merata kepada masyarakat desa Inbanagara Raya, membantu mengurangi beban kemiskinan dan memutus rantai kemiskinan antargenerasi.

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Section: Pendahuluanunclassified

Implementasi Data Mining Algoritma K-Means Untuk Klasifikasi Penduduk Miskin Berdasarkan Tingkat Kemiskinan Di Jawa Barat

Nurliana,

Irawan,

Bahtiar

2024

jati

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“…Penelitian tentang klasfikasi tingkat kesejahteraaan kelurahan, menghasilkan nilai k=10 adalah yang terbaik dan dijadikan sebagai prediksi klasifikasi kelurahan kalideres [10]. Penelitian tentang klasifikasi masyarakat miskin [11], Penelitian tentang penerima bantuan sosial program keluarga harapan [12] [13]. Penelitian tersebut merupakan program bantuan pemerintahan yang bertujuan untuk prediksi siapa yang layak menerima bantuan.…”

Section: Tinjauan Literaturunclassified

Classification of Eligibility for BPNT Recipients Using the K-Nearest Neighbor Algorithm

Rahayu,

Irawati,

Ananda

2024

SISTEMASI

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BPNT (Non-Cash Food Assistance) is food social assistance in non-cash form from the government which is given to Beneficiary Families (KPM) every month. In its implementation, BPNT is still encountering a number of obstacles, one of which is in terms of distribution of aid which has not been optimal in several areas, including in Mekar Sari Village, Kec.Pulau Rakyat, Kab. Sharpen. In carrying out the BPNT program, many residents complained that they did not receive this assistance, but they felt they had the right to receive assistance like the others. The aim of the research is to apply the K-Nearest Neighbor algorithm so that it can help the process of classifying data on citizens who are eligible or not eligible to receive non-cash food assistance (BPNT). The method used uses the application of data mining classification techniques with the K-Nearest Neighbor algorithm. Based on the results of implementing the K-Nearest Neighbor data mining algorithm, the results of the system created can predict and help the village government to make decisions and describe residents who are eligible and not eligible for BPNT assistance using data on poor residents recorded in Mekar Sari Village, Kec. People's Island, Kab. Asahan by using the K-Nearest Neighbor algorithm data mining system.

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“…Analysis influence and impact of the program dominate study related with family program hope. There are also several trying research articulate role companion until government in Thing program implementation and guarantee effectiveness program implementation (see [11]; [12]; [13]; [14]; and [15]). On a different side some have tried see PKH from side his failure .…”

Section: Iapa 2022mentioning

confidence: 99%

GRADUASI: Construction Independence Receiver Benefits of the Program Keluarga Harapan (PKH) in Rural Areas

Purboyo¹,

Junaidi²,

Bakri³

et al. 2023

KSS

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So far, direct assistance provided by the government to the community or poor families in the community is in the form of direct cash assistance. The program is in the form of Program Keluarga Harapan (PKH). However, the assistance is insufficient to have a significant impact on the community in order for the family to become independent. The dynamics of social life are so complex that they experience the spirit of the Program Keluarga Harapan (PKH), which is to make people more independent. Concrete evidence should be a sign that the poor are independent, namely, they will graduate themselves without coercion from anyone. This means that they release the assistance provided by the government in the form of the Program Keluarga Harapan (PKH) without coercion and with full awareness. The graduation process that has occurred and has not yet occurred has become a dynamic that needs to be seen from a scientific perspective, thus providing scientific information about the dynamics that occur in the community of Way Wakak Village, North Lampung Regency. Therefore, to see the dynamics of graduation in the spectrum of knowledge, a study was conducted on ”GRADUASI: Construction Independence Receiver Benefits of the Program Keluarga Harapan (PKH) in Rural Areas” in Way Wakak Village, North Lampung. The study aims provide an overview of the dynamics of graduation that occurs in the midst of the poor, who will later find a formulation to make a more independent society. This study uses a qualitative method with case studies. In addition, this study also uses quantitative techniques in collecting data, both in the form of primary and secondary data. This research was conducted in Way Wakak Village, North Lampung. With this method and the field of study that will be investigated, this study will produce the dynamics of PKH beneficiary families in their social life, whether they are already empowered after the assistance or otherwise. The aim is to know the condition of the community comprehensively and is useful to provide an overview and appropriate solutions that can be offered if the assistance is not significantly successful. Thus, the graduation which is part of the PKH is actually carried out by the community voluntarily on the basis of their independence. Keywords: graduation, construction, independence, beneficiaries, PKH

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Klasifikasi Penerima Bantuan Sosial Program Keluarga Harapan Menggunakan Metode Naive Bayes

Cited by 6 publications

References 3 publications

Implementasi Data Mining Algoritma K-Means Untuk Klasifikasi Penduduk Miskin Berdasarkan Tingkat Kemiskinan Di Jawa Barat

Implementasi Data Mining Algoritma K-Means Untuk Klasifikasi Penduduk Miskin Berdasarkan Tingkat Kemiskinan Di Jawa Barat

Classification of Eligibility for BPNT Recipients Using the K-Nearest Neighbor Algorithm

GRADUASI: Construction Independence Receiver Benefits of the Program Keluarga Harapan (PKH) in Rural Areas

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