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Digital Landscape and Behavior in Indonesia 2024: A National Survey Analysis of Internet Penetration, Cybersecurity Risks, and User Segmentation Using K-Means Clustering and Logistic Regression Aminudin, Nur; Hidayat, Nurul; Feriyanto, Dwi; Septasari, Dita; Awaliyani, Ikna
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5117

Abstract

Digital transformation in Indonesia reveals significant disparities in internet access, digital behavior, and cybersecurity vulnerabilities. This study analyzes the digital landscape using national survey data from 8,720 respondents across 38 provinces. This research employs a quantitative approach, utilizing chi-square tests, logistic regression for risk analysis, and K-Means clustering for user segmentation, supported by Principal Component Analysis (PCA) for dimensionality reduction. The results show a national internet penetration rate of 79.5%, with significant disparities across regions and socio-economic segments. Logistic regression analysis reveals that higher education, greater income, and the use of fixed broadband are negatively correlated with cybersecurity risks. Furthermore, K-Means clustering identifies three distinct user profiles: 'Digital Savvy', 'Pragmatic Users', and the 'Vulnerable Segment', each with unique characteristics regarding digital access and literacy. This research provides a critical empirical basis for understanding digital transformation in a developing nation. The findings underscore the necessity of data-driven, segmented policies to foster digital inclusion and enhance national cybersecurity, offering actionable insights for policymakers and service providers.
Designing Logical Sequence by Using Microcontroller as Security Tools Aminudin, Nur; Feriyanto, Dwi; Salimu, Salman Alfarisi; Wicaksono, Garda Arif; Cahyadi, Septian; Sukamto, Anton; Rahman, Taufik
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6268

Abstract

The objective of this paper are 1) to tell how to design logical security tools by using microcontroller 2) to describe the sequence of designing logical using microcontroller toward security controller. To explain the sequence step by step the researcher used design electronic chain. An Embedded system usually consists of at least a system unit microprocessor its memory for the program, data also input or output interface simple system. The interface like floppy disk, keyboard, appearance or printer which are usually available on the personal computer exactly is not available at the micro control system.  Microcontroller systems are used for important simple works like control motors, switch, variable resistor or electronic device, one of micro control used is box control or safe deposit boxes such as house, office, or bank for safe security. By utilizing micro control, the owner has valuables are not felt worried about the safe deposit box from stolen
Desain Sistem Smart Charger Berbasis Fuzzy untuk Optimasi Pengisian Baterai Li-Ion Wantoro, Agus; Feriyanto, Dwi; Despa, Dikpride; Aminudin, Nur
Jurnal Informatika Polinema Vol. 12 No. 1 (2025): Vol. 12 No. 1 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i1.8110

Abstract

Perkembangan teknologi perangkat portabel dan kendaraan listrik menuntut sistem pengisian baterai yang efisien, aman, dan adaptif. Penelitian ini merancang dan mengimplementasikan sistem Smart Charger berbasis logika fuzzy untuk optimasi pengisian baterai lithium-ion (Li-Ion). Sistem mengintegrasikan sensor suhu dan tegangan dengan mikrokontroler untuk mengatur arus pengisian secara dinamis berdasarkan input parameter aktual seperti suhu baterai, tegangan awal, dan kapasitas sisa (State of Charge). Pengujian dilakukan pada berbagai skenario suhu lingkungan dan kondisi baterai. Hasil menunjukkan bahwa sistem fuzzy mampu memberikan kestabilan keluaran berdasarkan inputan yang diberikan dibandingkan dengan charger konvensional. Sistem akan menyesuaikan arus pengisian dengan kondisi baterai, khususnya pada suhu tinggi, tanpa intervensi manual. Penelitian ini membuktikan bahwa penerapan fuzzy logic dalam sistem pengisian baterai dapat memberikan peningkatan performa, keamanan, dan efisiensi. Sistem ini memiliki potensi untuk dikembangkan dan diterapkan pada berbagai perangkat elektronik serta dapat dikembangkan lebih lanjut dengan pendekatan adaptive rule learning dan integrasi antarmuka pemantauan real-time
Pelatihan dan Pendampingan: Anak Muda Melek Social Media Marketing Naufal Sinatria; Fauzan Fuadi; Muhammad Lathief Syaifussalam; Nur Aminudin; Dwi Feriyanto; Agus Wantoro; Andi Mulyono
Dharma: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): Mei
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

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Abstract

The aim of this marketing content creation training and mentoring is to increase students' understanding, creativity, and confidence in creating simple content, as a generation growing up in the digital era. The methods used include material delivery, interactive discussions, and direct practice. The results showed high student enthusiasm throughout the process, indicating that the learning approach aligned with their characteristics and needs. In addition to acquiring basic content creation skills, students also demonstrated positive developments in their expressive and collaborative abilities. These results demonstrate that hands-on learning is highly effective in developing students' digital competencies.
Learning Rate Tuning of Transfer Learning Models for Fresh and Spoiled Beef Image Classification Tri Mulya Dharma; Mukhsin Nuzula; Aviv Fitria Yulia; Dwi Feriyanto; Ningsiah
Jurnal Serambi Engineering Vol. 11 No. 3 (2026): Juli 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

Beef freshness assessment is a critical aspect of the food industry, where conventional methods relying on visual inspection and olfaction are subjective and prone to human error. This study aims to develop an automated beef freshness classification system utilizing deep learning to enhance the accuracy and objectivity of quality assessments. A total of 2.800 beef images were sourced from an open research data repository, divided equally into fresh and spoiled classes. Three Convolutional Neural Networks (CNN) architectures with transfer learning VGG16, ResNet50-V2, and Inception-V3 were evaluated. The models were systematically tested using learning rate tuning at 0.01, 0.001, and 0.0001 to optimize training convergence. Evaluation results showed that VGG16 outperformed other models in classifying beef freshness. VGG16 achieved a peak testing accuracy of 99.46% at a learning rate of 0.001. The main contribution of this study is the systematic evaluation of transfer learning architectures to establish an optimal baseline for beef quality assessment. By deploying the best performing model into a web based application, this approach offers a practical, objective, and accessible alternative to conventional manual inspection, enabling rapid early detection of beef freshness to improve food safety.
Design and Building of an Automatic Water Filling System on Water Container Media Based on Arduino Esp8266 Alfazri Putra Pradana; Nur Aminudin; Fahlul Rizki; Dwi Feriyanto
IJOEM: Indonesian Journal of E-learning and Multimedia Vol. 3 No. 1 (2024): Indonesian Journal of E-learning and Multimedia
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v3i1.233

Abstract

In the era of rapidly developing technology, innovation is important to facilitate human life. Water is the main need for all living things, especially humans, so it needs to be managed efficiently. Water filling in reservoirs is usually still done manually, which can cause a waste of clean water. Manual water filling requires humans to control the pump as needed. However, it often happens to forget to turn off the pump after the reservoir is full, which can cause a waste of water and electrical energy. To solve this problem, the idea is to make an automatic system with Arduino ESP 8266 called "Design of Automatic Water Filling System on Arduino ESP 8266 Based Water Reservoir". This system uses ultrasonic sensors to measure the water level in the reservoir. When the water reaches a certain level, the system will activate the water filling, and the user can monitor the water level in real time through a mobile device. This research aims to design and test this automatic water replenishment system to avoid water waste. The result is expected to be an efficient solution better than the manual system and beneficial in clean water management. This research will answer important questions about this system's design, workings, and test results. The main conclusion of this research is the need for improvements in the design and implementation of automatic water filling systems. Further analysis, adjustments, and retesting are needed to overcome the obstacles encountered.