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All Journal CommIT (Communication & Information Technology) Computatio : Journal of Computer Science and Information Systems Humaniora ComTech: Computer, Mathematics and Engineering Applications Engineering, Mathematics and Computer Science Journal (EMACS)
Alexander A. S. Gunawan, Alexander A. S.
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : Engineering, Mathematics and Computer Science Journal (EMACS)

 1 
Pengembangan Automatic Pet Feeder Mengunakan Platform Blynk Berbasis Mikrokontroller ESP8266 Heri Ngarianto; Alexander Agung Santoso Gunawan
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.6260

Abstract

In this paper, automatic pet feeder device was developed. This device is useful for feeding pets at home when all family members are busy working or traveling. The device settings can be controlled by the mobile application automatically, thus the pet owners can ensure the feeding of their pets. The development of this tool is based on an electronic board which uses an ESP8266 microcontroller namely WeMos D1 MINI and is equipped with a Relay Shield to control the amount of food released. In addition, through Blynk platform, the pet owners can control this device remotely. Pet feeding also can be done according to a schedule that can be pre-arranged as needed in realtime.
Prediction of Heart Disease UCI Dataset Using Machine Learning Algorithms Anderies Anderies; Jalaludin Ar Raniry William Tchin; Prambudi Herbowo Putro; Yudha Putra Darmawan; Alexander Agung Santoso Gunawan
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 4 No. 3 (2022): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v4i3.8683

Abstract

Heart disease is inflammation or damage to the heart and blood vessels over time. the disease can affect anyone of any age, gender, or social status. After many studies trying to overcome and learn about heart disease, in the end, this disease can be detected using machine learning systems. It predicts the likelihood of developing heart disease. The results of this system give the probability of heart disease as a percentage. Data collection using secret data mining. The data assets handled in python programming use two main algorithms for machine learning, the decision tree algorithm, and the Bayes naive algorithm which shows the best of both for heart disease accuracy. The results we get from this study show that the SVM algorithm is the algorithm with the most excellent precision. and the highest accuracy with a score of 85% in predicting heart disease using machine learning algorithms.Heart disease is inflammation or damage to the heart and blood vessels over time. the disease can affect anyone of any age, gender, or social status. After many studies trying to overcome and learn about heart disease, in the end, this disease can be detected using machine learning systems. It predicts the likelihood of developing heart disease. The results of this system give the probability of heart disease as a percentage. Data collection using secret data mining. The data assets handled in python programming use two main algorithms for machine learning, the decision tree algorithm, and the Bayes naive algorithm which shows the best of both for heart disease accuracy. The results we get from this study show that the SVM algorithm is the algorithm with the most excellent precision. and the highest accuracy with a score of 85% in predicting heart disease using machine learning algorithms.
Co-Authors Anderies Anderies Arie Qur’ania Hakim, Jerry Pratama Heri Ngarianto Heri Ngarianto, Heri Jalaludin Ar Raniry William Tchin Jamhari Jamhari Jimmy Linggarjati, Jimmy Prambudi Herbowo Putro Prasetyo, Reza A Prihastuti Harsani Senjaya, Benny Triastinurmiatiningsih, Triastinurmiatiningsih Viska Noviantri Wulandhari, Lili Ayu Yudha Putra Darmawan Yuwono, Febrian