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Utilization of Computer Applications in Increasing the Productivity of UMKM in Kendari City (Sagumi) Sitti Najmia Rifai; Muhammad Akbar Yasin; Muhammad Irwan Syahib; Budi Wijaya Rauf; Ilcham, Ilcham; Dian Puteri Nurbaity; Yudhi Dwi Hartono
Jurnal Pengabdian Pancasila (JPP) Vol. 3 No. 2 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpp.v3i2.9904

Abstract

Micro, Small, and Medium Enterprises (UMKM) play a significant role in Indonesia's economic growth. Sagumi is one of the MSMEs in Kendari City which was founded in 2016 and was witnessed by the President of the FAO (Food Agriculture Organization) Representative of Indonesia. Sales have increased significantly, indicating that there is strong interest and demand for these UMKM products. The challenge faced by Sagumi lies in the lack of application of information and communication technology in operations and marketing which is still manual. One solution to overcome this problem is through holding training for UMKM business actors. Activities are carried out using socialization and direct practice methods. This service activity succeeded in motivating the participants to improve their computer application skills to support productivity and efficiency in operations and marketing.
ANALISIS SENTIMEN APLIKASI PEMINJAMAN ONLINE BERDASARKAN ULASAN PADA PLAY STORE MENGGUNAKAN METODE NAÏVE BAYES DAN SUPPORT VECTOR MACHINE (STUDI KASUS : ADAKAMI DAN EASYCASH) La Ode Muhammad Hafidz Abdillah Sam Mongkito; Natalis Ransi; La Surimi; Andi Tenriawaru; Gunawan Gunawan; Budi Wijaya Rauf
AnoaTIK: Jurnal Teknologi Informasi dan Komputer Vol 2 No 2 (2024): Desember 2024
Publisher : Program Studi Ilmu Komputer FMIPA-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/anoatik.v2i2.71

Abstract

This research aims to analyze the sentiment of online lending applications based on reviews on the Google Play Store using the Naïve Bayes and Support Vector Machine methods and determine which online lending applications are more trustworthy. AdaKami is an online lending application under the auspices of PT Pemfinaan Digital Indonesia. EasyCash is an online lending application which is a financial technology company owned by PT. Indonesia Fintopia Technology which provides a digital financial service portal, especially online lending. However, to determine whether this online lending application is reliable or trustworthy, it requires a collection of information that comes from previous user experience. The Naïve Bayes and Support Vector Machine methods are used to analyze loan application sentiment based on relevant review data which is processed using the Python programming language with Google Colabs as a tool for carrying out the research stage. The research results show that the Naïve Bayes and Support Vector Machine methods can be applied in analyzing the sentiment of online lending applications and based on the results of application analysis using the Naïve Bayes Adakami method, it is more trusted by previous users because it produces 95% positive review data and the Easycash application produces positive review data of 95%. 93% and the results using the Adakami Support Vector Machine method produced positive review data of 91% and the Easycash application produced positive review data of 83%.review data while the Easycash application produces 93% positive review data.
Peningkatan Literasi Keamanan Siber dan Pelindungan Data Pribadi pada Remaja Desa Popalia Ilcham; Muh. Hajar Akbar; Jimsan; Muh. Dhion. R; Sitti Najmia Rifai; Budi Wijaya Rauf
Anoa : Jurnal Pengabdian Masyarakat Fakultas Teknik Vol 4 No 02 (2025): Edisi Desember Tahun 2025 Anoa : Jurnal Pengabdian Masyarakat Fakultas Teknik
Publisher : FAKULTAS TEKNIK UMKENDARI

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

Abstract

Akselerasi penetrasi internet di wilayah pedesaan seperti Desa Popalia menciptakan generasi remaja yang sangat adaptif terhadap teknologi digital namun memiliki manajemen risiko yang rendah. Permasalahan utama yang teridentifikasi bukan pada ketidakmampuan teknis, melainkan pada kebiasaan siber yang berisiko (risky cyber habits). Fenomena yang ditemukan adalah remaja mampu membuat kata sandi yang kompleks, namun mempraktikkan penggunaan satu kata sandi untuk berbagai platform (password reuse) dan perilaku membagikan data sensitif secara berlebihan (oversharing). Kegiatan pengabdian masyarakat ini bertujuan mengintervensi perilaku tersebut melalui pendekatan edukasi partisipatif dan simulasi teknis perlindungan akun. Metode pelaksanaan dirancang sistematis meliputi diagnosis awal, penyuluhan interaktif, simulasi audit keamanan (security checkup), dan pendampingan aktivasi fitur keamanan ganda. Melibatkan 20 remaja sebagai peserta, kegiatan ini berhasil mengubah perspektif peserta dari memandang keamanan sebagai hambatan menjadi sebuah kebutuhan primer. Hasil evaluasi menunjukkan penurunan drastis pada praktik penggunaan kata sandi tunggal dari 75% menjadi 10% dan lonjakan keberhasilan aktivasi Verifikasi Dua Langkah (2FA) mencapai 90%. Disimpulkan bahwa metode simulasi audit kebocoran data lebih efektif dalam membangun kesadaran keamanan (security awareness) dibandingkan metode ceramah normatif, serta mampu mendorong remaja melindungi privasi data mereka secara mandiri.