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All Journal JSiI (Jurnal Sistem Informasi) Jurnal Elektronika Listrik dan Teknologi Informasi Terapan bit-Tech Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan DEVICE Journal of Economic, Business and Engineering (JEBE) Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Pengabdian Masyarakat Akademisi Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi OVUM : Journal Of Midwifery and Health Sciences Biner : Jurnal Ilmiah Informatika dan Komputer Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Intan Oktaviani
Universitas Duta Bangsa Surakarta
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary

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Penguatan Budaya Anti-Fraud Berbasis Gotong Royong Pada UB Cipta Mandiri Karanganyar Ety Meikhati; Sundari Sundari; Intan Oktaviani
Jurnal Pengabdian Masyarakat Akademisi Vol. 5 No. 1 (2026)
Publisher : Jurnal Pengabdian Masyarakat Akademisi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/jpma.v5i1.1727

Abstract

Program pengabdian masyarakat ini bertujuan memperkuat tata kelola keuangan dan mencegah fraud pada UB Cipta Mandiri Karanganyar sebagai lembaga ekonomi berbasis komunitas. Permasalahan utama mitra meliputi pencatatan keuangan manual yang tidak tertib, minimnya transparansi, lemahnya pengendalian internal, serta rendahnya literasi anti-fraud di kalangan pengurus. Kegiatan dilaksanakan melalui pendekatan partisipatif yang mencakup observasi awal, penyuluhan edukasi anti-fraud, penguatan SDM berintegritas, penyusunan kontrol internal dasar, serta pendampingan implementasi. Hasil pretest–posttest menunjukkan peningkatan pengetahuan peserta sebesar 65%, terutama terkait konsep fraud, Fraud Triangle, dan identifikasi potensi penyimpangan yang umum terjadi pada lembaga masyarakat. Intervensi penguatan SDM melalui pelatihan, pengembangan kompetensi, dan penanaman nilai integritas berhasil meningkatkan kesadaran moral pengurus dalam menjaga amanah dana komunitas. Selain itu, penerapan pengendalian internal sederhana, antara lain otorisasi ganda, pemisahan tugas minimum, rekonsiliasi kas rutin, dan pelaporan bulanan mampu menutup celah terjadinya fraud dan memperkuat akuntabilitas. Pembentukan budaya kolektif anti-fraud berbasis kejujuran, transparansi, dan gotong royong turut memperkuat pengawasan informal di tingkat komunitas. Secara keseluruhan, program ini berhasil membangun fondasi tata kelola yang lebih transparan, akuntabel, dan berkelanjutan bagi UB Cipta Mandiri.
Implementasi Algoritma K-Nearest Neighbor untuk Optimasi Pemberian Reward Siswa SMA Agus Riyanto; Nurchim; Intan Oktaviani
Jurnal Sistem Informasi Vol. 12 No. 2 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i2.11017

Abstract

Giving rewards to school students is one strategy to increase learning motivation and participation in school. However, the system used to give rewards is usually still conventional, so it often faces challenges in terms of objectivity and comprehensiveness of assessment criteria. This study aims to apply the K-Nearest Neighbor (KNN) algorithm as an optimization tool in determining student reward recipients in High Schools. The data used include the average report card value, moral values, parents' income, number of siblings and scores in non-academic activities. The KNN method was chosen because of its ability to classify based on the similarity of neighbor data. The research process begins with collecting historical student data, data normalization, determining the KNN model, and evaluating the model. The results of the study show that the KNN model is able to classify students with a certain level of accuracy in recommending the right reward category. The conclusion of this study is that the application of the KNN algorithm can provide a more structured and objective approach to the reward giving process, so that it can help schools make transparent decisions and in accordance with the principles of justice. This system is expected to increase the effectiveness of the reward program and encourage development for students. Keyword : K-Nearest Neighbor, Reward, Classification, Objectivity, Optimization
Co-Authors Agus Riyanto Agus Suyatno Alfiyan Tegar Budi Satria Tegar Andreas Sigit Andreas Arfika Putri Risandi Atina, Vihi Bangun Prajadi Dedi Nugroho Dwi Nurani Prasetyawati Emha Taufiq Luthfi Ety Meikhati Feny Ramadhani Hasanah, Herliyani Indah Nofikasari Khoirul Mustofa Lina Tri Andaru Manik Hapsara Marginingsih Marginingsih Marta Ardiyanto Moh Muhtarom Muhammad Ainur Roqim Niken Puji Astuti Nofi Lestari Nur Hasanah Nur Hasanah Nurchim Pipin Widyaningsih Purwanto, Eko Rahayu, Istiyawati Rina Mahmudati Sarwendah Maragawati Sri Sumarlinda Sundari . Triana Triana Triyono Triyono Vera Nopitasari Vihi Athina Yomi Agung S