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Fraud Hexagon Theory” Evaluation Framework In Procurement: A Systematic Literature Review Dewi, Sofia
Goodwood Akuntansi dan Auditing Reviu Vol. 3 No. 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/gaar.v3i2.4624

Abstract

Purpose: This community service initiative aims to empower residents of Takerharjo Village by introducing sustainable agricultural practices and providing health education. The goal is to improve local welfare, enhance food security, and promote community health through innovative and practical solutions. Methodology/approach: The program was conducted in Takerharjo Village, involving 50 farmers and 30 households. Sustainable agricultural tools, such as organic fertilizers, drip irrigation systems, and pest control traps, have been introduced. Health education sessions were conducted using interactive methods, including workshops and demonstrations. Surveys and interviews were conducted to assess the community's needs and to evaluate the impact of the program. Results/findings: The initiative successfully increased agricultural productivity by 25% by adopting sustainable practices. Health education has improved community awareness of hygiene and nutrition, leading to healthier lifestyles. Participants reported higher satisfaction with, and confidence in, managing their farms and health. Conclusions: The community service initiative in Takerharjo Village demonstrated that the integration of sustainable agricultural practices and health education can significantly enhance local welfare. The adoption of organic fertilizers, drip irrigation, and pest control measures has led to a measurable increase in agricultural productivity, whereas health education has fostered better hygiene and nutritional habits among residents.. Limitations: The study was limited by the short duration of the program and the small sample size, which may affect the generalizability of the results. Contribution: This study contributes to community development, sustainable agriculture, and public health. This provides a model for other rural communities to adopt similar practices, fostering local progress and well-being.
Mapping Library User Behavior Base On K-Means Clustering Of Ma’soem University Student: Pemetaan Perilaku Pengguna Perpustakaan Berbasis K-Means Pada Mahasiswa Universitas Ma’soem Dewi, Sofia; Kresnawati, Ai; Sopyanti, Sinta; Sulmainah, Alma
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 5 No. 2 (2025): Indonesian Journal of Informatic Research and Software Engineering (IJIRSE)
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v5i2.2238

Abstract

Perpustakaan memiliki peran strategis dalam mendukung kegiatan akademik di perguruan tinggi, namun rendahnya tingkat kunjungan dan peminjaman buku oleh mahasiswa menunjukkan adanya kesenjangan perilaku pengguna. Penelitian ini bertujuan untuk memetakan pola perilaku mahasiswa dalam memanfaatkan layanan perpustakaan dengan menerapkan algoritma K-Means Clustering terhadap data kunjungan dan peminjaman selama tiga bulan terakhir. Melalui pendekatan data mining, mahasiswa dikelompokkan ke dalam tiga klaster: aktif, cukup aktif, dan pasif, berdasarkan frekuensi kunjungan serta jumlah peminjaman buku. Proses analisis dilakukan menggunakan perangkat lunak RapidMiner dengan tahapan meliputi data preprocessing dan evaluasi model menggunakan indeks Davies-Bouldin. Hasil penelitian menunjukkan bahwa pendekatan klasterisasi efektif dalam mengidentifikasi segmentasi perilaku mahasiswa, yang selanjutnya dapat digunakan sebagai dasar dalam merumuskan kebijakan pengembangan layanan perpustakaan yang adaptif dan terarah. Penelitian ini memberikan kontribusi berupa kerangka kerja berbasis data y
Penerapan Data Mining Penyaluran Dana Bantuan Sosial Menggunakan Metode K-Means Clustering di Desa Rancaekek Kulon Rainaya, Suci; Dewi, Sofia
Jurnal Dimamu Vol. 4 No. 3 (2025)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/dimamu.v4i3.1618

Abstract

Data Mining simplifies and accelerates the process of distributing social assistance funds, namely direct cash assistance from village funds and has a significant impact. One of the causes of the problem is due to inappropriate and inaccurate data, so that assistance is often not on target and also the lack of limited access to technology to manage population data updates which causes social assistance not to reach groups of people who really need it. The purpose of this study is to apply Data Mining for the distribution of social assistance funds to the community in the Rancaekek Kulon Village Area and to find out the accuracy of the results of the application of data mining using Rapidminer Tools and also to increase the efficiency and speed in the process of distributing social assistance funds in Rancaekek Kulon Village. Data analysis and implementation with the K-Means Clustering algorithm was carried out by manual calculation using Microsoft Excel and then tested using RapidMiner software. The data used in this study is 526 data. The application of data mining using the K-Means Clustering algorithm can be used to group people who are eligible and unworthy of receiving assistance by producing 2 clusters, namely C0 (Not Feasible) and C1 (Feasible). The results obtained from the RapidMiner test were unfeasible community groups, namely C0 (Not Feasible) as many as 206 data and C1 (Feasible) as many as 320 data. Where the Davice Bouldin Index (DBI) was obtained from the formation of the cluster as much as 0.701 which means that the cluster is quite good because it is close to 0. Based on the calculation of data using Microsoft Excel, namely the Unfit Community group (C0) as many as 232 data and the Decent Community group (C1) as many as 294 data with the accuracy results obtained from the validation that has been carried out through the Davies Bouldin Index (DBI) validation on Microsoft Excel, which is 0.378
PENGARUH KONSUMSI REBUSAN JANTUNG PISANG KEPOK DAN DAUN KATUK TERHADAP PRODUKSI ASI PADA IBU MENYUSUI DI WILAYAH KERJA UPT PUSKESMAS SAKETI KABUPATEN PANDEGLANG TAHUN 2024 Oktavianty, E Desy; Srimulyani, Yeni; Rosita, Ita; Dewi, Sofia; Fadillah, Tifa; Marlina, Leny; Putri, Magdalena Tri; Jayatmi, Irma
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.33474

Abstract

Tujuan penelitian ini untuk mengetahui pengaruh konsumsi rebusan jantung pisang kepok dan daun katuk terhadap produksi ASI pada ibu menyusui di Wilayah Kerja Puskesmas Saketi Kabupaten Pandeglang tahun 2024. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus. Populasi dalam penelitian ini adalah semua ibu menyusui yang berada di wilayah kerja Puskesmas Saketi sampai dengan bulan Juni tahun 2024 berjumlah 95 orang, dan sampel sebanyak 4 orang. Untuk mengukur produksi ASI dan mengukur konsumsi rebusan jantung pisang kepok dan daun katuk pada ibu menyusui peneliti menggunakan alat ukur lembar observasi. Berdasarkan penelitian yang telah dilakukan di Wilayah Kerja UPT Puskesmas Saketi sejak tanggal 09 Juli 2024 s.d 22 Juli 2024, maka dapat ditarik kesimpulan sebagai berikut : Jumlah rata-tara produksi asi sebelum konsumsi Rebusan Jantung Pisang Kepok dan Daun Katuk adalah 20 ml. Jumlah rata-tara produksi asi setelah konsumsi Rebusan Jantung Pisang Kepok dan Daun Katuk adalah 450 ml. Terdapat pengaruh yang signifikan dari konsumsi Sayur Daun Katuk terhadap Peningkatan Jumlah produksi ASI pada ibu menyusui di Puskesmas Saketi Kabupaten Pandeglang tahun 2024.
Pendampingan Implementasi Website Sistem Informasi PHBS Rumah Tangga untuk Meningkatkan Efektivitas Pengelolaan Data Aryanti, Utami; Anwar, Moh. Taufan; Dewi, Sofia; Naasyiah, Rifdah
Jurnal AbdiMU (Pengabdian kepada Masyarakat) Vol. 5 No. 2 (2025): November
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/abdimu.v5i2.1689

Abstract

Clean and Healthy Living Behavior (PHBS) is an important indicator in improving public health. However, the process of collecting data and fostering PHBS in households in the Cicalengka DTP Community Health Center (Puskesmas) is still done manually, often causing obstacles in data management and reporting. This community service activity aims to assist the Puskesmas in digitizing the process of collecting data and fostering PHBS through the creation of a information system website. The implementation method includes needs analysis, system design, implementation, user training, and field evaluation. The results of the activity indicate that the developed website can facilitate officers in collecting household data, monitoring PHBS indicators, and providing more structured guidance. In addition, the training activity increases officers' understanding of the use of information technology to support public health programs.