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All Journal Journal of Applied Smart Electrical Network and System (JASENS) DBESTI: Journal of Digital Business and Technology Innovation
Lukman Rosyidi
Sekolah Tinggi Teknologi Terpadu Nurul Fikri
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Library & Information Science

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Rancang Bangun Smart Pet Feeder Berbasis IoT Menggunakan Blynk Wahid Wahyudin; Lukman Rosyidi; Salman El Farisi
DBESTI: Journal of Digital Business and Technology Innovation Vol 3 No 1 (2026): Mei, 2026
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/dbesti.v3i1.2204

Abstract

Many pet owners struggle to feed their pets regularly due to busy schedules and limited time. This can negatively impact the health of the pets. To address this problem, this study designed an Internet of Things (IoT)-based Smart Pet Feeder system that can dispense food automatically or manually and monitor food availability in real time via the Blynk application. The system uses a Wemos D1 ESP8266 microcontroller, a servo motor, an ultrasonic sensor, and an RTC module for scheduling. The research was conducted in stages: needs analysis, system design, implementation, and hardware and software testing. The Blynk application serves as a user interface for setting feeding schedules, viewing the current time, and receiving notifications when the feed level is low. Test results show that the system functions as intended, with a 100% success rate for both automatic and manual feeding, and a sensor accuracy of 97.91%. This system offers a practical solution for efficient and flexible pet feeding management.
Analisis Kerentanan Keamanan Chatbot Berbasis Large Language Model Terhadap Serangan SQL Injection Bambang Harie Wiyono; Filia Nur Anjaini; Lukman Rosyidi
Journal of Applied Smart Electrical Network and Systems Vol. 7 No. 1 (2026): JASENS Vol. 7 No. 1 (2026) : Vol. 07 No. 01, Juni 2026
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/qy05dk06

Abstract

Perkembangan teknologi Large Language Model (LLM) telah mendorong pemanfaatan chatbot pada berbagai layanan digital. Integrasi chatbot dengan basis data dan layanan backend berpotensi menimbulkan risiko keamanan, terutama terhadap serangan SQL Injection. Penelitian ini bertujuan untuk menganalisis dan menguji kerentanan SQL Injection pada aplikasi chatbot berbasis LLM. Pengujian dilakukan menggunakan payload SQL Injection, Burp Suite, dan OWASP ZAP pada empat chatbot berbasis LLM, yaitu AlexAI, Gemini, Claude, dan Dola. Hasil penelitian menunjukkan bahwa seluruh target tidak memperlihatkan indikasi keberhasilan eksploitasi, tidak terjadi kebocoran informasi, serta tidak ditemukan akses tidak sah ke basis data. Meskipun demikian, ditemukan beberapa isu keamanan pada tingkat aplikasi yang berkaitan dengan konfigurasi keamanan web. Temuan ini menunjukkan bahwa keamanan chatbot berbasis LLM tidak hanya bergantung pada ketahanan model, tetapi juga pada keamanan aplikasi dan infrastruktur pendukung yang digunakan.
Co-Authors Bambang Harie Wiyono Filia Nur Anjaini Salman El Farisi Wahid Wahyudin