Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal Journal of Telecommunication Control and Intelligent System Sunan Kalijaga Journal of Physics
Muhammad Ahmad Baballe
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Physics

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
A security alarm system to detect intrusion using an Arduino, a GSM module, and a motion sensor Muhammad Ahmad Baballe; Mukhtar Ibrahim Bello
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 1 (2021): Monograph Book of Telecommunications
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i1.46

Abstract

If the user power or activate the security system, the Arduino Uno will read the data when the motion sensor detects an intruder. The Arduino Uno microcontroller will activate the buzzer and sound an alarm, it will then display on the liquid crystal display (LCD) showing the intrusion. The GSM module gets the information from the Microcontroller it will send a short message service to the designated mobile number registered in the system with the help of the SIM card inserted in the GSM module that an intrusion has occurred. To communicate between the Mobile phone and GSM modem, AT command is applied to this research. This is because the GSM modem can only understand AT command declaration. From this, it can communicate with Mobile phones, computers, and Arduino microcontrollers.
Comparative Study of Gas Alarm Detection System Muhammad Ahmad Baballe; Mukhtar Ibrahim Bello; Abdulhamid Shariff Mahmoud
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 3 (2021): Monograph Book of Intellegent System
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i3.47

Abstract

Fires often occur due to negligence in using a gas stove. This paper was created in response to the increasing number of fires and explosions in today's world due to gas leaks. Key objectives about gas detection systems, their challenges, and the impact of using homes and organizations for security purposes. The gas detection system is a solution to reduce fire hazards. The installation of a gas alarm detection system is expected to help protect people's homes, organizations, hospitals, industries and institutions, especially with recent technological developments. Gas detection systems help control and monitor our homes for gas leaks that result in outbreaks and explosions.
Analysis of the Temperature Detection System: Impact and Challenges Muhammad Ahmad Baballe; Mukhtar Ibrahim Bello
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 2 (2021): Monograph Book of Control
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i2.64

Abstract

Analysis of the Temperature Detection System: Impact and Challenges
A Artificial Intellegent algorithms for Tumor Disease Detection: systematic Literature Review Muhammad Hafid Alkarim; Iswanto Suwarno; Muhammad Ahmad Baballe; Mukhtar Ibrahim Bello
Sunan Kalijaga Journal of Physics Vol. 5 No. 2 (2023): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v5i2.4275

Abstract

A Tumor is a swelling in the body caused by cells that multiply abnormally. Tumors or neoplasms consisting of benign tumors and malignant tumors. Benign tumors can grow larger but do not spread to other body tissues. Malignant tumors are cancers that attack the entire body and are uncontrollable. Comparison between the cell nucleus with the cytoplasm of malignant tumors, while benign tumors are the same as normal cells. Cancer cells can develop rapidly. These cells attack and damage body tissues through the bloodstream and lymph vessels so that they can grow in new places. One way to detect tumor disease is by utilizing Artificial intelligence algorithms for tumor Disease Detection. The purpose of this paper is for the development of Artificial Intellegent algorithms for the detection of tumor Diseases and optimization of Artificial Intellegent algorithms for the detection of tumor Diseases. This research uses systematic literature review by using preferred Reporting Items for Systematic Review (PRISMA). The results of screening and selection of articles obtained 64 potential articles that have met the inclusion criteria. The results showed that with earlier detection, a person can check tumor disease earlier using the help of Artificial intelligence algorithms. The results of research on the development of Artificial intelligence algorithms for detection of tumor Diseases have found Artificial intelligence algorithms that can be used to reduce the risk of tumor disease. Optimization of Artificial Intelegency algorithms for tumor classification, performing new data processing methods such as artificial intelligence can be selected to provide the accuracy of classification and diagnosis, exploration of detection limits is a very important aspect in tumor diagnosis based on SERS, finding improved and suitable nanoparticle substrates so as to significantly improve the original Raman signal.
Co-Authors Abdulhamid Shariff Mahmoud Iswanto Suwarno Muhammad Hafid Alkarim Mukhtar Ibrahim Bello Mukhtar Ibrahim Bello Mukhtar Ibrahim Bello Mukhtar Ibrahim Bello