Abstract:This study aims to analyze strategies for optimizing social assistance program planning in Jeneponto Regency using the Next Generation Social Welfare Information System (SIKS-NG). Accurate and efficient planning is key to…
o ensuring accurate targeting of social assistance beneficiaries, ensuring the program achieves its objectives and delivers optimal impact. Using SIKS-NG is expected to improve the accuracy of recipient data, accelerate the verification process, and facilitate social service field workers in proposing beneficiary families. This eliminates the need for in-person visits to the Social Service office. The research method used was a qualitative approach, analyzing responses from three informants: the Head of Service, Village Facilitator, SIKS-NG Operator, and Beneficiary Families.
The results indicate that implementing the SIKS-NG application improves the accuracy of recipient data, accelerates the verification process, and facilitates monitoring of aid distribution. Furthermore, the application is easily accessible through https://siks.kemensos.go.id, thus supporting the overall program effectiveness.
Abstract:This study aims to determine the Effectiveness of the Family Hope Program (PKH) on the welfare of beneficiary families in Banjarmasin City. This study uses descriptive research, while the research approach uses qualitative.…
ve. Data collection was conducted through in-depth interviews, observations, and documents. From the results of this study, the family hopes the program, seen from the knowledge of PKH beneficiary families towards the program's objectives, was adequate. The independence and behavior change of PKH beneficiary families in accessing education and health services has been evident. They are greatly helped by this program so that it can ease their burden, especially for children's education needs and in accessing health services for pregnant and lactating women and early children under six years. In the short term, this program is quite effective because it can reduce the expenditure burden on beneficiary families even though increasing their income is only limited to the program's assistance. In contrast, in the long term, namely, to break the chain of Poverty and inequality, it has not been effective and takes a long time. Therefore, it is necessary to add a skill component and business funding assistance for people experiencing Poverty in order to create independence and realize community welfare.
Abstract:Abstract: The poor community is a condition in which the community does not have adequate facilities and infrastructure and an adequate environment, with the quality of housing and settlements far below the eligibility standard…
tandard and uncertain livelihoods covering all multidimensional dimensions. The Pasiran Village Office, Sei Dadap District, is one of the agencies located in the Pasiran area, Sei Kamah. Where the Pasiran Village Hall Office carries out activities to distribute assistance to village communities who are declared to be underprivileged or have low incomes below 3.5 million. With such a large number of village people, an in-depth analysis is needed to determine which poor people are entitled to receive Non-Cash Food Assistance from the government. The solution to this problem is to use data mining with the Naïve Bayes algorithm for data classification. Data mining is the science of extracting information by utilizing data sets to obtain valuable information with a large enough data size through the process of extracting data or filtering data. The classification application uses the naïve Bayes algorithm used at the Pasiran Village Office to produce a classification of beneficiaries, namely Worthy and Unworthy based on the attributes of Citizenship, Family Group, ASN Status, and Having a Healthy Family Card.
Keywords: data mining; naïve bayes; classification, beneficiary
Abstrak: Masyarakat miskin merupakan suatu kondisi dimana keadaan masyarakat yang tidak memiliki sarana dan prasarana serta lingkungan yang memadai, dengan kualitas perumahan dan pemukiman yang jauh dibawah standar kelayakan serta mata pencaharian yang tidak menentu yang mencakup seluruh multidimensi. Kantor Balai Desa Pasiran Kecamatan Sei Dadap merupakan salah satu instansi yang berada di daerah Pasiran, Sei Kamah. Dimana Kantor Balai Desa Pasiran melakukan kegiatan pembagian bantuan terhadap masyarakat desa yang dinyatakan kurang mampu atau memiliki penghasilan rendah dibawah 3,5 juta. Dengan jumlah masyarakat desa yang begitu banyak, diperlukan analisis yang mendalam untuk menentukan masyarakat tidak mampu yang berhak untuk mendapatkan Bantuan Pangan Non Tunai dari pemerintah. Solusi dari permasalahan tersebut adalah menggunakan data mining dengan algoritma naïve bayes untuk klasifikasi data. Data mining merupakan suatu ilmu untuk menggali informasi dengan memanfaatkan kumpulan data untuk mendapatkan berbagai informasi yang berharga dengan ukuran data yang cukup besar melalui proses penggalian data atau penyaringan data. Aplikasi klasifikasi menggunakan algoritma naïve bayes yang terapkan pada Kantor Balai Desa Pasiran menghasilkan klasifikasi warga penerima bantuan yaitu Layak dan Tidak Layak berdasarkan atribut Kewarganegaraan, Golongan Keluarga, Status ASN dan Memiliki Kartu Keluarga Sehat.
Kata kunci: data mining; naïve bayes; klasifikasi, penerima bantuan