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ARTICLE INFO

ABSTRACT

This work is licensed under CC BY-SA 4.0

INTRODUCTION

The history of the journey of the STIFIn method began in 1999 when Farid

Poniman and his colleagues founded the Kubik Leadership training institution, the training

institution every time he started his training program, first mapping the training

participants according to their type of intelligence. STIFIn is a method used to find out a

person's personality by reading the character they have through a person's fingerprints.

Effectiveness of Class Division Based on Stifin (Intelligence Machine) di Sukma Medan College

of Management Sciences, Especially for First Semester KIP StudentsI Afternoon Class

factors he has.

(Farid Poniman 1999) Certain parts of the brain indicate dependence on one of

the thoughts. In the STIFIn intelligence engine, there are 5 things that are the main

characters in everyone, namely sensing, thingking, intuiting, feeling and instinct. Of the

five intelligence machines, only one is dominant in each person.

This STIFIn method is an application of the STIFIn concept which compiles from

the theories of psychology, neuro science, and human resources science. The principle

of magnitude refers to the concept of a single intelligence from Carl Gustaav Jung. How

to find out this intelligence engine with STIFIn Fingerprint, a test performed by scanning

all ten fingertips. Fingerprints that carry information about the composition of the nervous

STIFIN whether it was effective or not

Literature Review

(Farid poniman 1999) Together with his colleagues, he founded a cubic leadership

training institute, every time he started his training program, he first mapped the training

participants according to their type of intelligence. (Ramli 2010) is like a machine, the

brain is a very awesome machine and unmatched. (2008) the most recognizable

intelligence is IQ intelligence questions, Which almost 100 years ago was introduced by

Williem stren has captured no small attention.

METHOD

which included students who studied disemester 2 in afternoon classes with a combined

concentration.

Effectiveness of Class Division Based on Stifin (Intelligence Machine) di Sukma Medan College

of Management Sciences, Especially for First Semester KIP StudentsI Afternoon Class

afternoon class of the management study program which included 2nd semester

students. In this study, students who were respondents and were willing to fill out the

Google Form were as many as 34 related to the distribution of respondents, as can be

seen in the following picture.

Numerical Results

Based on figure 1 above, it can be seen that the research response in the domicile

by management study program students of the Sukma Medan College of Management

Sciences as many as 34 votes, with a concentration of financial management as much as

26.5%, forcing spoils as much as 26.5%, tourism management as much as 8.8%, and

they know better about their direction. The perception of the student can be seen in the

following picture:

Effectiveness of Class Division Based on Stifin (Intelligence Machine) di Sukma Medan College

of Management Sciences, Especially for First Semester KIP StudentsI Afternoon Class

Based on figure 2 above, we can see that learning is more interesting because the

class is divided based on MK. With data on students who expressed strong approval as

many as 11.8% and students who agreed as much as 76.5%.

Effectiveness of Class Division Based on Stifin (Intelligence Machine) di Sukma Medan College

of Management Sciences, Especially for First Semester KIP StudentsI Afternoon Class

FIGURE 4. STIFIN helps determine how to learn4

Based on figure 4 above, we can know that STIFIN helps students in determining

choices of how to study. From this data, it can be seen that students who expressed

strongly agreed were 26.5% and mahasia who agreed were 64.7%.

Effectiveness of Class Division Based on Stifin (Intelligence Machine) di Sukma Medan College

of Management Sciences, Especially for First Semester KIP StudentsI Afternoon Class

FIGURE 6. MK helps students become more aware of self-direction6

Based on figure 6 above, we can know that many students agree that MK can help

students to know better in directing themselves because the intelligence machine makes

students know their respective characters better. With the number of students who

agreed as much as 61.8% and students who expressed strong approval as many as

35.3%.

Graphical Results

Based on the chart above, we can conclude that students who expressed strong

agreement were 21%, 67% agreed, while those who expressed disapproval were 8%,

and 3% of students who expressed strong disapproval.

CONCLUSION

Based on the analysis above, it can be concluded that many students consider that

Effectiveness of Class Division Based on Stifin (Intelligence Machine) di Sukma Medan College

of Management Sciences, Especially for First Semester KIP StudentsI Afternoon Class

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