Abstract:Sustainable Development Goals (SDGs) is the government's effort to reduce poverty and improve community welfare. One way to achieve this goal is through the development of Village-Owned Enterprises (BUMDes). BUMDes is a…
tool to improve the economy and welfare of village communities. The aim of this research is to determine the role of Village-Owned Enterprises in supporting the achievement of the objectives of the Sustainable Development Goals program in Sindangsari Village, Cikoneng District, Ciamis Regency. The method used in this research is descriptive qualitative method. Data was obtained in this research through observation, documentation and interviews with 11 informants, namely the village head, village secretary, BPD chairman, BUMDes director, BUMDes secretary, BUMDes supervisor, and 5 community leaders. The results of the research show that two of the five role indicators according to Siagian have not worked optimally, including the role as a pioneer and as an implementer himself. So it can be concluded that the role of BUMDes Bhinekasari Mandiri in supporting the Sustainable Development Goals (SDGs) has not gone well.
Keywords: Sustainable Development Goals; BUMDes; Role
Abstract:The Covid 19 pandemic, which has lasted for about three years, has had a significant impact on all aspects of life throughout the world, especially in Indonesia. Every day humans can move quickly and without restrictions,…
, but during the Covid 19 pandemic human movement was limited and restricted by several rules that have been set, including the number of gatherings even in the early days of the Covid 19 pandemic, staying at home or working from home, studying Working from home is mandatory for all levels of society and groups, both in schools, campuses and offices, so that the spread of the Covid 19 virus does not become widespread. This certainly has a significant impact on the speed of the economy, finances and of course the welfare of society. Since March 2022, the poverty rate in Indonesia has increased by 9.54%, and the government is trying to create many programs to eradicate it. This research answers the question: what is meant by poverty? What are the impacts of living in poverty? What is the solution to God’s protection in the post-pandemic extreme poverty phenomenon in Indonesia? The outcomes of using the literature investigate method are listed below: (1) Poverty as a disadvantage to citizens measured in terms of a certain standard of living, which refers to relative poverty designs that carry out similar analyzes in many poor countries. (2) The consequences of living in poverty are worsening health, declining health, and lack of security. (3) Overcoming poverty by enlivening God's protection, namely God's duty to prevent many poor people from becoming protectors of lifestyles, families and church congregations like Christ.
Abstract:East Java Province is a region with significant economic contribution in Indonesia, occupying the third position nationally with a contribution of 14.26%. However, despite its rapid economic growth, East Java still faces…
welfare challenges, especially in terms of poverty which is still relatively high compared to other provinces on the island of Java. The poverty rate in East Java is on a downward trend, but it still remains above the national average. This condition indicates an imbalance in the welfare of the community in the East Java region. Welfare is measured based on the ability of the community to meet decent, healthy, and productive basic needs, with the Human Development Index (HDI) as one of the main indicators. HDI can measure human development achievements based on several basic components of quality of life, including the education dimension, the age and health dimension, and the standard of decent living. Therefore, the government needs to group regions with appropriate characteristics to make it easier to make policies. One of the statistical analyses that can be used in this study is cluster analysis. The results of this study are that East Java Province in 2023 shows a diversity of welfare indicators, such as TPT, HDI, and AHH, reflecting differences in economic, educational, and health conditions between regions. The cluster method with the best assessment in this study is the K-Means method with five clusters. The characteristics in clusters I and II tend to have low welfare, while clusters III, IV, and V show better welfare. The results of this study show a change in the number of clusters compared to previous research conducted by Muhammad Fikry Al Farizi et al. in 2022. The previous study produced four clusters using the average linkage method.
Abstract:This analysis aims to find out the strategies and steps used in community empowerment in Central Lombok Regency with literature review analysis helping to analyze previous studies which will provide suggestions and methods…
ds used in community empowerment in Central Lombok Regency. Using the descriptive qualitative method (literature review), this method will explain and describe the findings with descriptions. Data sources from several journal reference sources that are relevant to the topic of analysis. The focus of this analysis is community empowerment in Central Lombok district to reduce poverty. The results of the analysis show various methods and ways to achieve social prosperity, however, the implementation of empowerment must also pay attention to the geographical location of the community to provide a significant impact, such as empowerment in the tourism sector, arts and crafts sector or empowerment in other forms that provide benefits to the community. specially in the Central Lombok district, the empowerment that is often carried out is in the tourism sector for tourist villages and the use of social culture and local wisdom to help the community to attract tourists to visit and gain economic benefits.
Abstract:Abstract: The government has made many efforts to eradicate poverty in society by implementing programs such as pro-poor, basic food assistance and cash assistance which are useful for achieving the standards of a prosperous…
rous society. The results of data processing are useful in future decision making. Considering the large amount of public data, finding out poor people is not an easy thing for the government to do, as is the case in North Sumatra. This research uses the K-Means Clustering (Multidimensional) method, making it easier to see patterns and structures in data that are difficult to see in the original representation. The application of the K-Means Clustering (Multidimensional) algorithm produces 3 clusters with a silhouette_score value of 33, namely cluster 0 with a high level of population poverty of 1, cluster 1 with a moderate level of population poverty of 4 and cluster 2 with a low level of population poverty as many as 28.
Keywords: Resident; Poor; Data Mining; K-Means
Abstrak: Banyak upaya yang dilakukan pemerintah untuk menghapus kemiskinan pada masyarakat dengan cara melakukan program seperti pro-poor, bantuan sembako maupun bantuan uang tunai yang berguna untuk mencapai standar masyarakat sejahtera. Hasil pengolahan data tersebut berguna dalam pengambilan keputusan kedepannya. Mengingat banyaknya data masyarakat, maka untuk mengetahui masyarakat miskin bukanlah hal mudah yang dilakukan oleh pemerintah, sama halnya di Sumatera Utara. Penelitian ini menggunakan metode K-Means Clustering (Multidimensi) memudahkan untuk melihat pola dan struktur dalam data yang sulit dilihat dalam representasi aslinya. Penerapan algoritma K-Means Clustering (Multidimensi) menghasilkan 3 cluster, yaitu dengan cluster 0 dengan tingat kemiskinan penduduk yang tinggi sebanyak 1, cluster 1 dengan tingat kemiskinan penduduk yang sedang sebanyak 4 dan cluster 2 dengan tingkat kemiskinan penduduk yang rendah sebanyak 28.
Kata kunci: Penduduk; Miskin; Multidimensi; Data Mining; K-Means
Abstract:Abstract: The Family Hope Program (PKH) is a government program in the form of cash for Very Poor Households (RTSM) whose qualifications are met related to efforts to improve human quality, not in the field of education…
but also health. In the short term, the PKH program is calculated to reduce the expenditure of poor families and reduce poverty in the long term. To receive the PKH Program) the government has set several criteria, including income, house ownership status, house size, floor type, roof, wall, and type of water source. As for the way to do the settlement of the criteria that have been set, namely by utilizing the Data Mining technique through the Naïve Bayes method. The dataset in this study is the data of recipients of the 2020 Family Hope Program as many as 82 samples. The results of the classification modeling with the Naïve Bayes Algorithm produce precision values for the positive class 100%, for the negative class 77%, the recall value for the positive class 80%, for the negative class 100%, the f1-score value for the positive class 89%, for the negative class 87%, and 88% accuracy value. The purpose of this research is to help the Social Service in classifying the recipients of the Family Hope Program (PKH).
Keywords: The Family Hope Program; Data Mining; Naïve Bayes
Abstrak: Program Keluarga Harapan (PKH) merupakan program pemerintah dalam bentuk tunai untuk Rumah Tangga Sangat Miskin (RTSM) yang kualifikasinya terpenuhi terkait dengan upaya peningkatan kualitas manusia tersebut bukan dalam bidang pendidikan tetapi juga kesehatan. dalam jangka pendek Program PKH diperhitungkan bisa mengurangi biaya pengeluaran keluarga miskin serta mengurangi kemiskinan dalam jangka panjang. Untuk menerima Program PKH) pemerintah sudah menetapkan beberapa kriteria, diantaranya Penghasilan, Status Kepemilikan Rumah, Ukuran Rumah, tipe Lantai, Atap, Dinding, serta jenis sumber air. Adapun cara untuk melakukan penyelesaian terhadap kriteria yang sudah ditetapkan yaitu dengan memanfaatkan teknik Data Mining melalui Metode Naïve Bayes. Dataset dalam penelitian ini adalah data penerima Program Keluarga Harapan tahun 2020 sebanyak 82 sampel. Hasil pemodelan klasifikasi dengan Algoritma Naïve Bayes menghasilkan besaran nilai precision untuk kelas positif 100%, untuk kelas negatif 77%, nilai recall untuk kelas positif 80%, untuk kelas negatif 100%, nilai f1-score untuk kelas positif 89%, untuk kelas negatif 87%, dan nilai akurasi 88%. Tujuan dilaksanakannya penelitian ini adalah untuk membantu Dinas Sosial mengklasifikasikan penerima Program Keluarga Harapan (PKH).
Kata kunci: Program Keluarga Harapan; Data Mining; Naïve Bayes
Abstract:Abstract: The Family Hope Program (PKH) is a government program that provides cash to Very Poor Households (RTSM) based on the terms and conditions that have been established by carrying out their obligations. The purpose…
e of the PKH is to reduce the number and break the poverty chain, improve the quality of human resources, and change behaviors that are less supportive of improving the welfare of the poorest groups. Determination of PKH aid recipients in the Coal Regency Social Service so far there are still shortcomings including not on target because the data of poor people is not up to date and the determination of criteria that have not been referred to the criteria that have been determined. For that, a system is needed that can help the process of determining PKH assistance recipients using the AHP and TOPSIS methods easily, quickly and precisely. This research aims to build the application of the decision support system of recipients of Family Hope Program (PKH) assistance in DinSos Coal Regency using AHP and TOPSIS methods. The results of this study can provide the best value based on predetermined criteria. Based on calculations using the AHP and TOPSIS methods, the decision was obtained that Rahmadan with a value of 1 and Nurul Ha with a value of 0.48 that deserved to be recommended as a recipient of PKH assistance.
Keyword: AHP; TOPSIS; Help; Family Hope Program
Abstrak: Program Keluarga Harapan (PKH) merupakan suatu program pemerintah yang memberikan uang tunai kepada Rumah Tangga Sangat Miskin (RTSM) berdasarkan persyaratan dan ketentuan yang telah ditetapkan dengan melaksanakan kewajibannya. Adapun tujuan dari PKH tersebut untuk mengurangi angka dan memutus rantai kemiskinan, meningkatkan kualitas SDM, serta mengubah perilaku yang kurang mendukung peningkatan kesejahteraan dari kelompok paling miskin. Penentuan penerima bantuan PKH pada Dinas Sosial Kabupaten Batu Bara selama ini masih terdapat kekurangan diantaranya yaitu tidak tepat sasaran yang disebabkan data warga miskin tidak up to date dan penentuan kriteria-kriteria yang belum mengacu pada kriteria yang telah ditentukan. Untuk itu diperlukan sistem yang dapat membantu proses penentuan penerima bantuan PKH menggunakan metode AHP dan TOPSIS dengan mudah, cepat dan tepat. Penelitian ini bertujuan untuk membangun aplikasi sistem pendukung keputusan penerima bantuan Program Keluarga Harapan (PKH) pada DinSos Kabupaten Batu Bara menggunakan metode AHP dan TOPSIS. Hasil penelitian ini dapat memberikan perangkingan nilai terbaik berdasarkan kriteria yang telah ditentukan. Berdasarkan perhitungan dengan menggunakan metode AHP dan TOPSIS didapat keputusan bahwa Rahmadan dengan nilai 1 dan Nurul Ha dengan nilai 0.48 yang layak direkomendasi sebagai penerima bantuan PKH.
Kata kunci: AHP; TOPSIS; Bantuan; Program Keluarga Harapan
Abstract:Abstrak: Isu demografi tentang usia harapan hidup bagi lanjut usia di Indonesia sangat berpengaruh terhadap permasalahan yang timbul, hal ini tidak hanya secara kuantitas jumlah lanjut usia bertambah, tetapi juga karena…
kerentanannya lansia (lanjut usia) perlu diperhatikan dan dilindungi. Berdasarkan kenyataan tersebut, pemerintah mengambil peran yang sangat diperlukan dalam upaya mengurangi kemiskinan para lanjut usia terlantar dalam bentuk bantuan sosial. Pemberian bantuan sosial yang dilakukan oleh Dinas Sosial Kota Tanjungbalai. Instansi tersebut memberikan bantuan sosial kepada lansia berupa uang tunai. Permasalahan yang muncul adalah ketika kuota pemberian bantuan sosial yang diberikan lebih sedikit dibandingkan dengan calon penerima bantuan. Sehingga sulitnya Dinas Sosial Kota Tanjungbalai menyeleksi proposal untuk menentukan lansia yang akan diberikan bantuan sosial. Mengatasi tersebut maka dibutuhkan suatu sistem pendukung keputusan yang membantu pihak Dinas Sosial Kota Tanjungbalai dalam memberikan keputusan. Adapun metode sistem pendukung keputusan yang digunakan adalah metode VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje).
Kata kunci: Metode Vikor; Pemilihan Lansia; Penerima Bantuan Sosial
Abstract:Demographic issues regarding life expectancy for the elderly in Indonesia are very influential on the problems that arise, this is not only quantitatively the number of elderly people increases, but also because the vulnerability of the elderly (elderly) needs to be considered and protected. Based on this fact, the government takes an indispensable role in efforts to reduce the poverty of neglected elderly people in the form of social assistance. Social assistance provided by the Tanjungbalai City Social Service. The agency provides social assistance to the elderly in the form of cash. The problem that arises is when the quota for social assistance provided is less than the potential beneficiaries. So that it is difficult for the Tanjungbalai City Social Service to select proposals to determine the elderly who will be given social assistance. To overcome this, a decision support system is needed that helps the Tanjungbalai City Social Service in making decisions. The decision support system method used is the VIKOR method ((Vise Kriterijumska Optimizacija I Kompromisno Resenje)
Keywords: Vikor Method; Selection of Elderly; Recipients of Social Assistance
Abstract:Abstract: This program aims to transform processed bilih fish products from Lake Singkarak through business digitalization to enhance tourism appeal and increase the added value of local food products. The partner, POKLAHSAR…
HSAR Jaso Danau in Nagari Tikalak, Solok Regency, experienced a 35% decline in sales turnover over the past two years due to limited digital marketing and reliance on conventional sales. In addition, production capacity could only meet about 60% of market demand, with inconsistent product quality caused by the absence of written SOPs. The program was implemented using a participatory approach through stages of socialization, technical training, innovation adoption, and mentoring. The main focus included the development of production SOPs, logbooks and digital bookkeeping, organizational structuring, and digital marketing strategies using websites, QR Codes, and social media. The results revealed significant improvement in five key aspects: business recording, production, distribution, branding, and digital marketing. The average score increased from 2.7 (fair) in 2024 to 4.0 (good) in 2025, with the highest achievement in business recording and digital marketing through the activation of an official website and marketplace integration. This transformation demonstrates that digitalization of local food MSMEs not only improves product quality and consistency but also expands distribution channels, strengthens competitiveness, and supports the achievement of the SDGs, particularly women’s empowerment, poverty alleviation, economic growth, and sustainable consumption and production.
Keywords: bilih fish, MSME digitalization, women empowerment, digital marketing, lake singkarak
Abstrak: Program ini bertujuan mentransformasi produk olahan ikan bilih khas Danau Singkarak melalui digitalisasi usaha guna meningkatkan daya tarik wisata dan nilai tambah pangan lokal. Mitra kegiatan adalah POKLAHSAR Jaso Danau di Nagari Tikalak, Kabupaten Solok, yang mengalami penurunan omzet hingga 35% dalam dua tahun terakhir akibat keterbatasan pemasaran digital dan masih mengandalkan penjualan konvensional. Selain itu, kapasitas produksi hanya mampu memenuhi sekitar 60% permintaan pasar, dengan kualitas produk sering tidak konsisten karena ketiadaan SOP tertulis. Kegiatan dilaksanakan dengan pendekatan partisipatif melalui tahapan sosialisasi, pelatihan teknis, penerapan inovasi, dan pendampingan. Fokus utama meliputi penyusunan SOP produksi, logbook dan pembukuan digital, pembentukan struktur organisasi, serta strategi pemasaran berbasis website, QR Code, dan media sosial. Hasil menunjukkan peningkatan keterampilan signifikan pada lima aspek utama: pencatatan usaha, produksi, distribusi, branding, dan pemasaran digital. Skor rata-rata naik dari 2,7 (cukup) pada 2024 menjadi 4,0 (baik) pada 2025, dengan capaian terbesar pada pencatatan usaha dan pemasaran digital melalui aktivasi website resmi dan integrasi marketplace. Transformasi ini membuktikan bahwa digitalisasi UMKM pangan lokal tidak hanya memperbaiki kualitas dan konsistensi produk, tetapi juga memperluas distribusi, memperkuat daya saing, serta mendukung pencapaian SDGs, khususnya pemberdayaan perempuan, pengentasan kemiskinan, pertumbuhan ekonomi, dan konsumsi-produksi berkelanjutan.
Kata Kunci: ikan bilih, digitalisasi UMKM, pemberdayaan perempuan, pemasaran digital, danau singkarak
Abstract:Abstract: Basically, this region experiences growth every year. The negative impact of uncontrolled population growth will cause social inequality and poverty and affect the progress and prosperity of the region. Judging…
from the number of residents registered with the Population and Civil Registration Service, Siantar Martoba District has a fairly high population growth rate, so it is necessary to predict the future population. In making a prediction, a good method is needed to solve a problem. In this research, a backpropagation algorithm was used using five architectures, namely architecture 4-71-1, 4-31-1, 4-16-1, 4-72-1, 4-83-1. From the results of tests carried out using data on the population of Siantar Martoba, the best architecture was obtained, namely architecture 4-31-1 with a mean squared error for training of 0.00009960 and a mean squared error for testing of 0.000099957 and obtained an epoch of 14012 iterations with a time of 01 minutes 40 seconds. It was concluded that this method can predict the population of Siantar Martoba in the future using Matlab R2011a, thus obtaining a population of Siantar Martoba of 36470 people.
Keywords: architecture; backpropagation; pematangsiantar; population; welfare
Abstrak: Pada dasarnya, wilayah ini mengalami pertumbuhan setiap tahunnya. Dampak negatif pertumbuhan penduduk yang tidak terkendali akan menyebabkan kesenjangan sosial dan kemiskinan dan mempengaruhi kemajuan, kesejahteraan daerah tersebut. Dilihat dari jumlah penduduk yang terdaftar pada Dinas Kependudukan dan Pencatatan Sipil Kecamatan siantar martoba mempunyai laju pertumbuhan penduduk yang cukup tinggi, sehingga perlu dilakukan prediksi jumlah penduduk masa depan. Dalam melakukan sebuah prediksi dibutuhkan sebuah metode yang baik dalam menyelesaikan sebuah permasalahan, dalam penelitian ini digunakan algoritma backpropagation dengan menggunakan lima arsitektur yaitu arsitektur 4-71-1, 4-31-1, 4-16-1, 4-72-1, 4-83-1. Dari hasil pengujian yang telah dilakukan dengan menggunakan data jumlah penduduk siantar martoba diperoleh arsitektur terbaik yaitu arsitektur 4-31-1 dengan nilai mean squared error pelatihan 0.00009960 dan mean squared error pengujian 0.000099957 dan memperoleh epoch 14012 iterations dengan waktu 01 menit 40 detik. Disimpulkan bahwa metode ini dapat memprediksi jumlah penduduk Siantar Martoba di masa depan dengan menggunakan Matlab R2011a, sehingga memperoleh jumlah penduduk siantar martoba sebanyak 36470 Jiwa.
Kata kunci: arsitektur; backpropagation; pematangsiantar; kependudukan; kesejahteraan