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Cooperatives, as the backbone of the people's economy, play a strategic role in improving the welfare of their members, particularly through the management of business profits. This role becomes even more complex when cooperatives receive government assistance sourced from state finances, as its management concerns not only the internal interests of the cooperative, but also the public interest. In practice, the extensive authority of cooperative administrators is often not balanced with strict restrictions and effective oversight mechanisms, thereby creating the potential for abuse of authority and weak accountability. The purpose of this study is to determine whether legal regulations can limit the authority of administrators so that they do not abuse government assistance and to determine whether existing regulations provide adequate oversight mechanisms. The research method used was normative juridical with a statutory approach and a conceptual approach. The results of the study show that normatively, the authority of cooperative administrators has been limited through the principle of delegation from member meetings and accountability obligations, and reinforced by the state financial legal regime through government assistance. In addition, the supervisory mechanism has been regulated in layers through internal and external supervision, although in practice it still has the potential to be formalistic. The implication of this study is the importance of strengthening the implementation of authority restrictions and effective supervisory mechanisms in order to realize accountable, transparent, and sustainable cooperative governance, while maintaining public trust in government assistance programs.

This research aims to design and develop a decision support system to determine the recipients of assistance in the Family Hope Program (PKH) in Pogo Tena Village. This system uses the (Technique for Order Preference by Similarity to Ideal Solution) method which aims to assist decision-makers in selecting families who meet the criteria to receive social assistance based on several predetermined factors, such as income level, number of family dependents, health conditions, and education. The method used in this study is a qualitative and quantitative method with a case study approach on PKH Pogo Tena Village. Data was obtained through interviews with related parties, field observations, and data collection from existing documents. In this system, the assessment is carried out by comparing alternative performance values based on pre-established criteria, and then using the TOPSIS method to determine the families who are eligible for assistance. The results of this study show that the designed decision support system can provide more objective and transparent recommendations for aid recipients. Using the TOPSIS method, the system can prioritize beneficiaries based on their proximity to the ideal solution, which helps minimize subjective errors in the beneficiary selection process. This research is expected to contribute to increasing the effectiveness and efficiency in the implementation of the Family Hope Program in Pogo Tena Village, as well as as a reference for other agencies that want to apply similar methods in social assistance programs.

The process of determining eligibility for social assistance recipients is often constrained by subjective assessments and uncertainty in decision-making criteria. This condition can lead to inaccurate targeting and unfair distribution of aid. Therefore, an appropriate decision support method is required to handle data uncertainty effectively. This study aims to apply the Fuzzy Mamdani method to determine the eligibility of social assistance recipients based on several assessment criteria. The criteria used in this study include monthly income, number of dependents, and housing conditions. The research method consists of data collection, fuzzification, formulation of fuzzy rules, inference using the Mamdani approach, and defuzzification to obtain a crisp output value. The results show that the Fuzzy Mamdani method is able to classify recipients into eligible and non-eligible categories more flexibly compared to conventional methods. The generated eligibility values reflect real conditions more accurately by considering degrees of membership for each criterion. The implementation of this method can assist decision-makers in improving the accuracy, objectivity, and fairness of social assistance distribution. This research is expected to contribute to the development of intelligent decision support systems in the social welfare sector.

This study aims to analyze the impact of government expenditure development and government budgeting on the social assistance recipients affected by floods. The research approach uses a quantitative method with a total of 50 respondents selected through sampling techniques. Data processing was conducted using SPSS software with various statistical tests, including validity test, reliability test, multiple linear regression, t-test, and F-test. The results show that the development of government expenditure has a significant impact on the condition of the social assistance recipients. Additionally, government budgeting also has a significant impact on the effectiveness of social assistance distribution after the disaster. Simultaneously, both variables have a strong influence on the social assistance recipients, as reflected by the significant F-test value and the coefficient of determination (R Square) of 0.518. This means that 51.8% of the variation in the condition of social assistance recipients can be explained by the development of government expenditure and government budgeting. These findings highlight the importance of appropriate expenditure and budgeting policies to enhance the effectiveness of social assistance distribution, especially in disaster situations.

Advances in information and communication technology (ICT) have revolutionized various aspects of life, including the education sector. The application of technology in education enables more flexible, interactive, and personalized learning, as well as expanding access for students in various regions, including remote areas. SMK Negeri 2 Binjai is one of the vocational education institutions in Binjai City that is currently facing challenges in the process of determining recipients of educational assistance, particularly the Indonesia Pintar (PIP) Program, which is intended for underprivileged students. Until now, the selection mechanism for PIP recipients has been carried out manually, making it prone to subjectivity, lack of transparency, and limited integrated data. To overcome this problem, a decision support system is needed to help schools determine the recipients of educational assistance objectively and structurally using the Weighted Aggregated Sum Product Assessment (WASPAS) method, which is an effective multi-criteria decision-making technique for processing various assessment criteria to produce the best alternative ranking. The results of the calculation using the WASPAS method produced different preference values (Qi) for each student alternative. The highest score was obtained by Ilyas Ramadhanu with a Qi of 0.6899, followed by Binar Sembiring with a Qi of 0.5963, and Dimas Dwi Andika with a Qi of 0.5790. The lowest value was obtained by Adit Rahmazi with a Qi of 0.3852.

The Family Welfare Empowerment (PKK) is a community organization that plays a vital role in improving family welfare in Indonesia. Through various programs, the PKK contributes to family empowerment, particularly in education, health, and economics. However, many PKK activities are still conducted manually, including recording and managing member data and activities. This creates several challenges, such as difficulty in archiving, time-consuming information searches, and difficulties in preparing accurate and timely reports. This research aims to design and develop a web-based information system that can simplify member data management, activity recording, attendance management, and report generation more quickly, efficiently, and accurately. This system will be designed using an object-oriented approach, involving several stages, starting from needs analysis, system design, implementation, and system testing. This information system is expected to improve service efficiency, facilitate PKK administrators in monitoring member activity, and support a more precise and weighted data-based decision-making process. Another advantage is that this system will also facilitate the PKK in producing faster, more comprehensive, and more structured activity reports, thereby increasing organizational transparency and accountability. Therefore, this web-based information system is expected to be a solution to improve the PKK's performance in carrying out its function of empowering family welfare.

The selection of recipients of the Single Tuition Fee (UKT) assistance at universities must be carried out with the principles of fairness, openness, and efficiency to ensure that the assistance is distributed appropriately. However, the manual selection process is often subjective and prone to error. Therefore, this study developed a decision support system based on the Simple Additive Weighting (SAW) method to assist the selection process of students eligible for UKT assistance more systematically and accurately. The SAW method was chosen because of its ability to process data involving various criteria to produce objective decisions. In this study, the criteria used for the selection of UKT assistance recipients include several aspects, such as the Cumulative Grade Point Average (GPA), parental income, number of dependents, non-academic achievements, distance of the student's residence from campus, active student status, and involvement in student organizations. Data from each criterion is then processed through a normalization stage to ensure uniformity of values and weighting based on their level of importance. After the normalization and weighting process, the next step is to calculate the preference value for each student. The results of the implementation of this system show that the SAW method can accurately rank student priorities, with a student named Selly receiving the highest preference score, 0.673. This indicates that the student in question meets the selection criteria with the best score. This developed system can support the UKT assistance selection process to be fairer and more efficient. By using the SAW method, subjective and manual errors in decision-making can be reduced, resulting in more objective and accurate decisions. In addition, this system also allows universities to evaluate UKT assistance recipients more transparently and precisely, which ultimately can increase public trust in the management of educational assistance at universities.

Modern money offers various conveniences and efficiencies in transactions, which are increasingly popular among the public, especially in this digital era. However, along with its advantages, modern money also poses new challenges such as the potential for misuse of technology, increased risk of hacking, and regulatory issues that have not been fully resolved, so socialization is needed. The purpose of this socialization is to increase the level of financial literacy for the public in using modern money that can be used in everyday life and provide knowledge about how to make non-cash payments using modern money safely.

In Indonesia, people with disabilities are often overlooked and underestimated because they do not have perfect physical abilities to do certain jobs or activities. The majority of them come from underprivileged families and are often underdeveloped. The unstructured process of distributing assistance can result in the assistance provided is not in accordance with the needs, so it is not optimal in improving the welfare of persons with disabilities. In addition, without a clear grouping, it is difficult for the government to design a more specific and targeted assistance program. Therefore, to overcome this problem, the agency needs to have an additional system to be able to assist in overcoming the problem of disability assistance recipients, namely by using the clustering method to group beneficiary data based on age, type of disability, and type of assistance. Thus, this clustering is expected to provide information and a clearer picture of the needs of each disability group, so that the assistance program provided can be distributed more optimally according to what people with disabilities need. After calculating using the existing cluster formula4, iteration 2 is the same as in iteration 1 and there is no data that moves groups anymore so the calculation can be stopped. So that a cluster graph can be made grouping data on beneficiaries of assistance for disabilities in Binjai City using the K-Means algorithm clustering method.

Bantuan Pangan Penting Contoh Program Non Tunai (BPNT) adalah program subsidi pangan sebagai wujud upaya pemerintah meningkatkan ketahanan pangan dan memberikan perlindungan kepada keluarga miskin melalui pendistribusian beras. Setiap keluarga akan menerima Rp. 110.000,-/bulan titik penyalurannya. Peneliti mengambil fokus di Kelurahan Majasari Kecamatan Prabumulih Selatan. Kenyataannya, implementasi kebijakan BPNT tidak selalu mempertimbangkan kebijakan yang full on procedure karena tergantung pada kondisi dan situasi masyarakat. Tujuan penelitian ini adalah menganalisis pelaksanaan program Bantuan Pangan Penting Contoh Non Tunai. Penelitian ini menggunakan metode deskriptif kualitatif. Pengumpulan data dilakukan dengan wawancara mendalam dari berbagai informan yang telah ditentukan. Dalam penelitian kualitatif, data diambil dari berbagai sumber dengan menggunakan teknik pengumpulan data yang beragam (triangulasi) dan terus menerus hingga jenuh. Hasil penelitian ini adalah faktor penentu pelaksanaan program BPNT di Kelurahan Majasari Kecamatan Prabumulih Selatan disebabkan oleh faktor sikap (disposisi) yang kurang berhasil dalam kualitas beras, sasaran rumah tangga penerima bantuan bantuan pangan krusial Contoh Non Tunai (BPNT), jumlah rumah tangga penerima manfaat sasaran beras.

Karanganom (ICKK) Bakti Negeri adalah keterbatasan ekonomi yang berakibat ketidakmampuan mencukupi kebutuhan pangan bergizi untuk keluarganya. Adanya pandemic Covid 19 lebih memperburuk kondisi keluarga disabilitas yang berasal dari keluarga prasejahtera. Kegiatan pengabdian dilakukan di ICKK Bakti Negeri Kecamatan Karanganom. Tujuan pengabdian adalah (1) melatih ketrampilan anak disabilitas dalam budidaya lele dalam ember (budikdamber), (2) memenuhi kebutuhan pangan keluarga disabilitas. Tujuan tersebut dicapai dengan melakukan pelatihan dan pemberian bantuan perlengkapan budikdamber. Pelaksanaan kegiatan meliputi sosialisasi, pelatihan, praktik budidaya, dan monitoring. Kegiatan dilakukan secara tatap muka dari rumah ke rumah penerima bantuan.

Penelitian ini dilakukan untuk mengetahui pengaruh pelayanan kantor Pos terhadap kepuasan penerima bantuan langsung tunai di Kota Langsa. Dalam Penelitian ini penulis mengambil data dari Gampong Batee Puteh sebagai salah satu gampong yang menerima bantuan langsung tunai dari pemerintah. Data yang diperoleh berasal dari  responden yaitu masyarakat gampong Batee Puteh. Alat analisis yang digunakan yaitu statistik deskriptif. Adapun pengaruh pelayanan pelayanan kantor Pos terhadap kepuasan masyarakat penerima bantuan langsung tunai di Kota Langsa peneliti memperoleh hasil Dari hasil analisis Dari hasil uji T, menunjukkan bahwa variabel tangibel tidak memiliki pengaruh yang signifikan terhadap kepuasan penerima bantuan langsung tunai di  Kantor POS Langsa Cabang Langsa. Sedangkan variabel Reliability (X2), responsivines (X3), dan Assurance (X4)  Emphaty (X5) memiliki pengaruh yang signifikan terhadap kepuasan penerima bantuan BLT Kantor POS Langsa Cabang Langsa. Dari ketiga variabel yang signifikan tersebut, variabel Assurance mempunyai pengaruh dominan terhadap kepuasan penerima bantuan BLT Kantor POS Langsa Cabang Langsa.uji F terdapat pengaruh yang positif dan signifikan secara serempak antara variabel tangible (X1), Reliability (X2), responsivines (X3), Assurance (X4) dan Emphaty (X5) sebagai dimensi kualitas pelayanan terhadap kepuasan penerima bantuan langsung tunai Kantor POS Langsa Cabang Langsa.    

Dinas Kesehatan Kota Pekanbaru melakukan berbagai inisiatif dalam meningkatkan kesehatan masyarakat. Penelitian ini mendeskripsikan implementasi dari program Penerima Bantuan Iuran (PBI) Jaminan Kesehatan di Kota Pekanbaru. Penelitian ini dilakukan dengan memanfaatkan metodologi penelitian kualitatif menggunakan teori Korten tentang implementasi yaitu kesesuaian antara program dengan dengan kelompok sasaran, kesesuaian antara program dengan organisasi pelaksana dan kesesuaian antara krlompok sasaran dengan organisasi pelaksana. Adapun Teknik yang digunakan untuk memilih informan adalah dengan Teknik purposive sampling. Pengumpulan data dilakukan dengan wawancara dan dokumentasi. Kemudian data yang diperoleh dianalisis dengan model interaktif dari Miles dan Huberman. Tujuan dari penelitian ini untuk mengetahui bagaimana Implementasi Program Penerima Bantuan Iuran (PBI) Jaminan Kesehatan di Kota Pekanbaru. Adapun hasil dari penelitian ini adalah Implementasi Program Penerima Bantuan Iuran (PBI) Jaminan Kesehatan di Kota Pekanbaru dalam meningkatkan kesehatan masyarakat di Kota dalam pelaksanaannya belum maksimal. Kemudian terdapat faktor penghambat dalam implementasi program Penerima Bantuan Iuran (PBI) Jaminan Kesehatan yaitu minimnya pengetahuan masyarakat tentang program PBI Jaminan Kesehatan, kurangnya sosialisasi terhadap masyarakat, dan kinerja organisasi pelaksana yang kurang optimal.

  Penelitian ini dimaksudkan untuk mengevaluasi perencanaan dan program Penerima Bantuan Langsung Tunai ( BLT ). Evaluasi dan pengawasan terhadap penyaluran dan pencairan dana program Bantuan Langsung Tunai (BLT) serta tanggapan masyarakat terhadap program Bantuan Langsung Tunai tersebut. Penelitian ini dilakukan di Kecamatan Wonotunggal Kabupaten Batang, Penelitian ini adalah penelitian evaluatif atau ex post facto fokus penelitian ber subjek pada masyarakat penerima Bantuan Langsung Tunai (BLT) di Kecamatan Wonotunggal Kabupaten Batang, Dengan Tekhnik pengumpulan data dengan metode wawancara dengan berpedoman dan dokumentasi. Dengan teknik  pengambilan sample adalah cluster  random sampling, dengan sample 6 Desa dan 20 orang masyarakat penerima Bantuan Langsung Tunai (BLT) sebagai responden. Dengan teknik Wawancara dan dokumentasi. Hasil penelitian adalah sebagai berikut : (1) Proses perekrutan terhadap penerima BLT  di Kecamatan Wonotunggal masih belum tepat sasaran karena dengan menggunakan metode yang kurang tepat, sehingga mengakibatkan beberapa warga masyarakat  salah sasaran, yang seharunya tidak menerima BLT jadi penerima BLT; (2) Pencairan serta penyaluran dana berjalan dengan terbuka, transparan dan lancar, dengan penerimaan sebesar Rp. 300.000,- (tiga ratus ribu rupiah) per tiga bulan per warga ,asyarakat penerima;(3) Dalam pelaksanaan penyaluran BLT di Kecamatan Wonotunggal telah dilakukan pengawasan pada proses rekrutmen  maupun pencairan dana; (4) Respon dan tanggapan masyarakat sangat senang dan posistif  terhadap adanya program pelaksanaan BLT karena sangat membantu warga masyarakat yang ekonominya dibawah sejahtera.

BLT merupakan program bantuan pemerintah dalam bentuk uang tunai kepada masyarakat miskin di desa yang dananya diambil dari dana desa atau disebut BLT-DD. Desa Sidaharja, Kecamatan Suradadi, Kabupaten Tegal memiliki jumlah penduduk ± 7.583 jiwa. Dari sekian banyak warga di desa tersebut, pemerintah desa melibatkan RT, desa setempat dalam mendaftarkan calon penerima BLT sesuai dengan kriteria dan mekanisme yang telah ditentukan agar bantuan yang disalurkan adil dan merata. Permasalahan dalam penyaluran BLT adalah masyarakat yang terdaftar sebagai calon penerima bantuan langsung tunai tidak memenuhi kriteria yang telah ditentukan sehingga bantuan tidak disalurkan kepada masyarakat yang berhak menerimanya. Hasil rekomendasi pemilihan BLT di Desa Sidaharja adalah Budi Susilo karena memiliki nilai Qi tertinggi yaitu 0,475. Budi Susilo memiliki skor tertinggi karena memiliki kriteria pendapatan kepala rumah tangga yang memiliki persentase berat badan tertinggi. Kombinasi keunggulan pendapatan kepala rumah tangga dan keunggulan berat badan memberikan nilai tinggi bagi Budi Susilo.