Floating Mud Cap Drilling with Sandwich System Application in Indonesia Development Well

2020 ◽  
Author(s):  
Ahmad Burhan Noviaris ◽  
Mustafa Syarif ◽  
Warnandes Ambar Murdiansyah ◽  
Reza Yudha Pramono ◽  
Sapto Edi Nugroho
Keyword(s):  
System Application ◽  
Sandwich System

Modeling moisture migration in a multi-domain food system: Application to storage of a sandwich system

2015 ◽  
Vol 76 ◽  
pp. 427-438 ◽  
Author(s):  
Tushar Gulati ◽  
Ashim K. Datta ◽  
Christopher J. Doona ◽  
R. Roger Ruan ◽  
Florence E. Feeherry
Keyword(s):  
System Application ◽  
Food System ◽  
Moisture Migration ◽  
Sandwich System

Penerapan Kriptografi Keamanan Data Administrasi Kependudukan Desa Pagar Jati Menggunakan SHA-1

2020 ◽  
Vol 3 (2) ◽  
pp. 182-186
Author(s):  
Lisnayani Silalahi ◽  
Anita Sindar
Keyword(s):  
System Application ◽  
Data Security ◽  
Hash Function ◽  
Security System ◽  
Cryptographic Hash Function ◽  
Security Costs ◽  
Encryption Method

Data security and confidentiality is currently a very important issue and continues to grow. Several cases concerning data security are now a job that requires handling and security costs that are so large. To maintain the security and confidentiality of messages, data, or information so that no one can read or understand it, except for the rightful recipients, a data security system application with an encryption method using an algorithm is designed. The SHA-1 cryptographic hash function that takes input and produces a 160-bit hash value which is known as the message iteration is usually rendered as a 40-digit long hexadecimal number.

ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM

2018 ◽  
Vol 2 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Yogi Udjaja
Keyword(s):  
Risk Factor ◽  
Expert System ◽  
Skin Cancer ◽  
Cancer Cells ◽  
System Application ◽  
Ultraviolet Rays ◽  
The Sun ◽  
Android Application ◽  
Abnormal Growth ◽  
Skin Cells

Skin cancer is an abnormal growth of human skin that can damage skin cells. By knowing the symptoms of skin cancer as early as posssible, it is helpful in preventing the spread of cancer cells and treatment. There are many factors that cause skin cancer, but in general the cause is exposure to ultraviolet rays from the sun.  Therefore, an expert system application is required to detect skin cancer.  By using backward chining and probalility methode; which data is in form of someone’s risk factor and clinical sympthoms, then the application will provide temporary diagnosis.  This application is built in an android platfrom because in its development android is more used than other platforms. The accuracy obtained from this application is 96.67%.

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