Claim Missing Document
Check
Articles

Penerapan Algoritma Saw Pada Sistem Penilaian Anggota Terbaik Ukm Granat Rizky Alfiansyah; Prima Dina Atika; Ahmad Fathurrozi
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 10 No. 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i1.987

Abstract

The purpose of determining the best members is to appreciate the achievements of members so as to motivate other members to be able to organize optimally and be able to survive in the organization for a long time. Although the purpose is very simple. It turns out that the process is very complex, takes so long that it gives rise to the opportunity for errors to occur in determining who is the right member. Especially if the UKM GRANAT has members with an assessment that is not much different from other members, then in its determination it is sometimes very subjective. Actually, there are several assessment criteria in the decision-making process for selecting the best members, namely: attendance, activeness, responsibility, professionalism, initiative, behavior. Therefore, it is necessary to build a system that can help decision making to determine the selection process objectively, namely by using the SAW (Simple Additive Weighting) method.
Pelatihan Peningkatan Kesadaran Keamanan Akun Digital Bagi Pelaku UMKM Desa Sawarna Banten Prima Dina Atika; Aidah Afifah Hafshah; Fadia Amelia Putri; Rian Wijaya; Rifky Putra Wijaya; Zaki Nur Fauzan; Ridwan Nurfauzi; Rasyid Darusman; Muhammad Akmal Dzulfiqar; Mohamad Diandra Ferdiansyah; Septyo Saputro; Tedi Ramadhan
Journal Of Computer Science Contributions (JUCOSCO) Vol. 6 No. 1 (2025): Januari 2026
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/xkyzys72

Abstract

The widespread expansion of digitalization has driven Micro, Small, and Medium Enterprise (MSME) owners in Sawarna Village to utilize various digital platforms for communication, marketing, and sales transactions. However, the high adoption rate of digital services is not matched by adequate understanding of account security, making MSME owners one of the most vulnerable groups to threats such as phishing, account hijacking, data misuse, and online fraud. Through the Community Service Program (KKN), this training activity was conducted to enhance awareness and capability of MSME owners in securing the digital accounts they use to support their business activities. The training encompassed socialization sessions, technical assistance, and basic audits of participants' account security settings. The results demonstrated an improvement in MSME owners' understanding of digital security risks as well as behavioral changes, particularly in the adoption of stronger passwords, activation of two-factor authentication, and configuration of account privacy settings. This program proves that KKN-based digital security training is effective in increasing awareness and digital account protection capabilities among MSME owners, thereby supporting the sustainability of their businesses in a more secure manner.
Food and Beverage Sales Prediction Using Linear Regression and Random Forest Regression at Ayam Serayu Restaurant Bekasi Nabila Ramadhani Sari; Herlawati Herlawati; Prima Dina Atika
Journal of Intelligent Systems for Community Development Vol. 1 No. 1 (2026): 2026: JISCoDe Volume 1 Issue 1 Year 2026
Publisher : Indonesian Artificial Neural Network Society

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The large number of sales transactions at Ayam Serayu Restaurant Bekasi creates challenges in managing and analyzing sales data. Manual processes make it difficult to predict future sales, affecting inventory management and decision-making. Therefore, an accurate prediction method is needed. This study applies Linear Regression and Random Forest Regression to predict sales based on historical data. The research stages included data collection, preprocessing, modeling, and evaluation using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results show that Random Forest Regression provides better accuracy than Linear Regression. The resulting model is expected to improve operational efficiency and support decision-making at Ayam Serayu Restaurant Bekasi.
Co-Authors .S.T., M.Kom., Suhadi Abdu Malik AlHakim Afzil Ramadian Ahmad Fathurrozi Ahmad Fathurrozi Aida Fitriyani, Aida Aidah Afifah Hafshah Ajif Yunizar Pratama Yusuf Alif Izzuddin Ramadhan Almajid, Nafis Alviansyah, Mohammad Anita Setyowati Srie Gunarti Beno Aditya Sanusi Dadan Irwan Damar Wijati Dani Yusuf Dwipa Handayani Ekawati, Inna Endang Retnoningsih Fadia Amelia Putri Faisal Adi Saputra Farizal Salman Fata Nidaul Khasanah Fitria Nurapriani Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Haryono Haryono Hendharsetiawan, Andy Achmad Herlawati Herlawati Indah Dwijayanthi Nirmala Ira Wardani Ismaniah Ismaniah Joni Warta Julianto Khairunnisa Fadhilla Ramdhania Kusmara, Hadi Lestari, Panca Indah Maimunah Malikus Sumadyo Mamang Jhulianawati Mega Wahyu Rhamadani Mohamad Diandra Ferdiansyah Mugiarso Mugiarso Muhamad Galih Muhammad Akmal Dzulfiqar Muhammad Riky Sudrajat Muhammad Yazid Mukhlis Nabila Ramadhani Sari Nur Amanda Pratiwi Priatna , Wowon Prihatin, Sandy Satyo Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Rasim Rasim Rasyid Darusman Resty Nandya Retna Ayu Puspitasari Retno Nugroho Whidhiasih Rian Wijaya Ridwan Nurfauzi Ridwan Ridwan Rifky Putra Wijaya Rizky Alfiansyah Robertoi . Samuel, Federick Dedi Sandy Satyo Prihatin Sari , Rafika Septia, Dwi Yoga Septyo Saputro Seta Samsiana Seta Samsiana Shofa Shofia Siti Setiawati SITI SETIAWATI Sri Rejeki Sri Rejeki Sugeng Murdowo Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Syahbaniar Rofiah Tambun, Jerisman Jhon Wesli Tedi Ramadhan Tyastuti Sri Lestari Tyastuti Sri Lestari Yusuf, Ajif Yunizar Pratama Zaki Nur Fauzan