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All Journal Emitor: Jurnal Teknik Elektro Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Indonesian Journal of Business Intelligence (IJUBI)
Umi Fadlillah
Universitas Muhammadiyah Surakarta
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Automatic Safety Electronic Saving Box Khairul Fikri; Umi Fadlillah
Emitor: Jurnal Teknik Elektro Vol 20, No 1: Maret 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v20i1.8777

Abstract

In this modern era, many people save valuable items in their house, such as assets (jewelry and money) and important files. Therefore, saving box is the right and effective choice for protecting important goods if robbery or fire occurs someday. This final project is designing a saving box using different system than the general. The design of this system consists of several parts such as Wemos, D1 R1 (ESP8266), telegram, temperature sensor (DS18B20), keypad, power supply, android, buzzer and LCD. In this design, users are able to access (open) the saving box easily, such as entering the code into the keypad and controlling the saving box through an Android-based smartphone with the internet of things method, therefore by this method users can enter the code in any range both far or near. Then if a safe box gets robbery, the system will send a message to user. Meanwhile if fire occurs, the temperature sensor will detect it and also send a message to user. This design is expected to fulfill user’s need of a safer saving box.
Blind People Stick Tracking Using Android Smartphone and GPS Technology Rian Adi Chandra; Umi Fadlillah; Prasetyo Wibowo; Faizal Tegar Nanda Saputra; Reyhan Radditya Sulasyono
Khazanah Informatika Vol. 8 No. 1 April 2022
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v8i1.15264

Abstract

Blindness is a term to describe conditions of people who have visual impairments. When a visually impaired do an activity outside, he usually needs a stick to help them move. This study aims to develop a stick tracking that enable a family member to find the location of the blind when they are outside their home and can help the blind to travel. GPS (Global Positioning System) technology allows the stick to get a signal for its location coordinates. When a family member wants to get the location of the blind, he can send a text message with the keyword TRACKER to the mobile phone number of the stick. A GSM (Global System for Mobile Communication) module will send a reply containing the global coordinate, which Google Maps can visualize. In addition, the blind can actively send an emergency help signal to families if they have difficulty finding their way home. An emergency push button is available on the stick, which, if pressed, will send the coordinates to the family's phone number in the form of a short text message. During travelling, blind people can identify obstacles in front of them thanks to an ultrasonic sensor system on the stick. The sensor can detect an object in the range of 100 cm. If the sensor detects an object less than 100 cm, a buzzer will emit an edible sound for the blind. Observations show that the developed stick works well with an average error on the GPS module at a level of 11.89 meters. It also shows a fluctuating percentage of ultrasonic sensor errors depending on the distance of objects.
AUTOMATED ACNE TYPE IDENTIFICATION THROUGH FORWARD CHAINING APPROACH Aris Rakhmadi; Naura Fikamelyalla; Sri Winiarti; Esi Putri Silmina; Umi Fadlillah; Yusuf Sulistyo Nugroho
Indonesian Journal of Business Intelligence (IJUBI) Vol 8 No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.5377

Abstract

Acne, a prevalent dermatological condition, poses significant physical and psychological challenges. Despite its widespread impact, timely and accessible diagnosis remained a barrier for many, emphasizing the need for innovative solutions. This study introduced an online consultation system for acne-type identification, leveraging a forward chaining approach within an AI-powered expert system. The system analyzed user-reported symptoms—such as severity, location, and appearance—using a rule-based inference mechanism to provide accurate diagnoses and tailored treatment recommendations. Developed using a prototype model, the system’s knowledge base was enriched through observations, literature reviews, and expert interviews, ensuring reliability and clinical relevance. Iterative testing, including black-box evaluations and a System Usability Scale (SUS) assessment, confirmed the system's functionality and user satisfaction, with a SUS score of 86.5, indicating high acceptance. The system bridged critical gaps in dermatological care, particularly for underserved communities, by enabling rapid, user-centric diagnostics and personalized recommendations. The research underscored the transformative potential of artificial intelligence and expert systems in healthcare. By integrating accessibility, scalability, and precision, the proposed system addressed the challenges of acne management and set a foundation for future advancements in dermatological diagnostics.
Co-Authors Aris Rakhmadi Esi Putri Silmina Faizal Tegar Nanda Saputra Khairul Fikri Naura Fikamelyalla Prasetyo Wibowo Reyhan Radditya Sulasyono Rian Adi Chandra Sri Winiarti Yusuf Sulistyo Nugroho