Claim Missing Document
Check
Articles

Found 14 Documents
Search

Pelatihan Literasi Digital bagi Orang Tua: Langkah Menuju Keluarga Cerdas Digital Desi Novianti; Yogi Bachtiar; Dewi Anjani
Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat Vol. 1 No. 4 (2023): Desember : Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/kegiatanpositif.v1i4.560

Abstract

At RT 06/014 Kel. Palmerah, West Jakarta, there is an urgent need to increase digital literacy among parents, who vary in age and level of technological knowledge. Reliance on digital technology poses challenges in supervising children and online safety. This challenge can be overcome by conducting digital literacy training designed to close knowledge gaps, improve online security, and provide skills to use technology responsibly. This training is carried out through lectures, simulations, and practice. Survey results showed high satisfaction (4.2/5) with the training content, but there was demand for more hands-on activities, especially regarding social media and data security. This training aims to equip parents with the skills necessary to support their children's education in a dynamic digital environment.
Design and Implementation of Information Systems for Efficient Big Data Processing Deni Apriadi; Dewi Anjani; Andi Alviadi Nur Risal; Yaya Sudarya Triana; Husni Mubarak
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1014

Abstract

The rapid growth of data volume, velocity, and variety has created significant challenges for traditional information systems, which are often unable to process large-scale data efficiently. This study aims to design and implement an efficient information system for big data processing using a distributed computing approach. The research adopts a systematic and experimental method consisting of system design, implementation, and performance evaluation. The proposed system is developed using a distributed architecture with parallel processing mechanisms to improve scalability and resource utilization. Performance evaluation is conducted using key metrics, including processing time, throughput, and efficiency improvement percentage, based on experimental testing with datasets ranging from 1 GB to 10 GB. The results show that the proposed system consistently reduces processing time and increases throughput compared to the baseline system. The system achieves efficiency improvements ranging from 33.3% to 36.9%, exceeding the predefined success indicator of 30%. These findings demonstrate that the integration of distributed computing and optimized system architecture significantly enhances big data processing performance. Therefore, the proposed system provides a scalable and practical solution for handling large-scale data processing in modern information systems.
Pelatihan Manajemen Stok dan Digitalisasi Pembayaran untuk Warung Kelontong Dewi Anjani; Yogi Bachtiar; Puti Retno Ali; Desi Novianti
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1349

Abstract

Grocery stalls are a pillar of Indonesia's micro-economy, yet most are still managed traditionally, with suboptimal stock recording, cost of goods sold (HPP) calculation, and digital technology utilization, making them less competitive than modern retail. This community service activity aimed to improve the managerial and digital competence of grocery stall owners in RT 004/RW 009, Tugu Sub-district, Cimanggis District, Depok City. The implementation method consisted of a two-day workshop integrating Industrial Engineering approaches (layout, stock management, HPP) with Informatics Engineering (digital cashier applications and QRIS optimization), followed by one month of online mentoring. The partners consisted of 18 stall owners. Evaluation was conducted through pre-tests, post-tests, and satisfaction questionnaires. The results showed that 94.4% of partner stalls already had QRIS, but only 41.2% used it actively before the training. Participants' average knowledge score increased from 41.6 to 81.9, representing a 96.9% increase; 83.3% of participants used digital cashier applications after the training, and the number of stalls actively using QRIS increased from 7 to 16, with average daily QRIS transactions rising from 2.8 to 9.2. The average satisfaction score reached 4.5 out of 5. This activity effectively improved managerial literacy and optimized the use of digital technology already owned by the participants.
Penerapan Fuzzy Logic Tsukamoto untuk Meningkatkan Efisiensi Produksi Tahu dan Tempe Dewi Anjani; Desi Novianti; Yogi Bachtiar
FORMAT Vol 15 No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i1.005

Abstract

Penentuan jumlah produksi yang optimal merupakan aspek penting dalam pengelolaan usaha agar dapat menyeimbangkan antara permintaan pasar dan kapasitas produksi. Penelitian ini bertujuan untuk menentukan jumlah produksi tahudan tempe yang optimal pada Usaha Mandiri dengan menggunakan metode Fuzzy Logic Tsukamoto. Metode ini dipilih karena mampu mengolah data yang bersifat tidak pasti dan memberikan hasil yang lebih fleksibel berdasarkan variabel-variabel linguistik. Data yang digunakan meliputi jumlah permintaan, persediaan, dan kapasitas produksi. Proses analisis dilakukan melalui empat tahapan utama, yaitu fuzzifikasi, pembentukan basis aturan, inferensi fuzzy, dan defuzzifikasi. Berdasarkan hasil perhitungan yang dilakukan, diperoleh bahwa jumlah produksi tahu yang optimal pada tanggal 1 November 2025 adalah sebanyak 16.064 potong. Hasil ini diharapkan dapat menjadi acuan bagi Usaha Mandiri dalam pengambilan keputusan produksi yang lebih efisien dan adaptif terhadap perubahan permintaan pasar