The system of determining interests aimed to in order students can be included in a group of interests according to their talents and interests. If they chose a major which did not match the talent and interests they had, then the ability to learn automatically will not be optimal. So, it possible to change majors in the middle of the semester and disrupt the learning process. Therefore, the aim of the study was to design an intelligent assessment application which met valid and effective quality standards which can assist students and the school in decision making. This system development process uses the analytical hierarchy process method. Furthermore, the quality of the system was tested by using black box testing and asking for responses of expert validators and respondents to ensure that the system met valid and effective criteria. The results of the study showed that this system had good accuracy and met valid criteria based on expert validator responses and it was effective in its utility based on the responses of the school and students.

Topics
Black-box, Decision theory, Students, Learning and learning models, Schools
1.
R.
Susanto
,
N.
Agustina
, and
Y. A.
Rozali
, “
Analysis of the application of the pedagogical competency model case study of public and private primary schools in West Jakarta Municipality, Dki Jakarta Province
),”
Elem. Educ. Online
, vol.
19
, no.
3
, pp.
167
–
182
,
2020
.
Google Scholar
 
2.
D. P.
Saxon
 and
E. A.
Morante
, “
Effective student assessment and placement: Challenges and recommendations
,”
J. Dev. Educ.
, pp.
24
–
31
,
2014
.
Google Scholar
 
3.
P. N.
Shejwal
,
N.
Patil
,
A.
Bobade
,
A.
Kothawade
, and
S.
Sangale
, “
A Survey on Student Placement Prediction using Supervised Learning Algorithms
,”
Int. J. Res. Eng. Sci. Manag.
, vol.
2
, no.
11
,
2019
.
Google Scholar
 
4.
M. I. P.
Nasution
,
Syafaruddin
,
M.
Yafiz
,
Nurhayati
, and
S.
Nasution
, “
Mobile composite application simulator as efficient learning media
,”
ARPN J. Eng. Appl. Sci.
, vol.
14
, no.
9
, pp.
1790
–
1794
, May
2019
.
Google Scholar
 
5.
A.
Iskandar
,
D. Utami
Sutiksno
,
N.
Kurniasih
,
D.
Palimbong
, and
A. Paulus
Saleky
, “
Designing android-based learning media and assessment in improving students achievement
,”
J. Phys. Conf. Ser.
, vol.
1175
, no.
1
,
2019
.
Google Scholar
 
6.
A.
Iskandar
,
B.
Kartowagiran
,
L.
Wulansari
, and others, “
Indonesian Research Output on Online Learning/e-Learning Publication using the Scopus Database: A Scientometric Analysis
,”
Libr. Philos. Pract.
, pp.
1
–
7
,
2021
.
Google Scholar
 
7.
S.
Nurhayati
, “
Application of Computer-assisted Analytic Hierarchy Process Method to Evaluate Employee Performance
,” in
IOP Conference Series: Materials Science and Engineering
,
2019
, vol.
662
, no.
2
, p.
22033
.
https://doi.org/10.1088/1757-899X/662/2/022033
Google Scholar
Crossref
Search ADS
 
8.
R. F.
Nanuru
 and
M. D.
Utama
, “
Dynamics of proposition and funding of lecturers’ research proposal at private universities in higher education service institutes region XII – Indonesia
,”
Int. J. Sci. Technol. Res.
,
2020
.
Google Scholar
 
9.
S.
Subowo
 and
F.
Riandari
, “
Determination of the Decision Support System Based on Teacher Performance Rewards Receiver With AHP method on SMK Negeri 1 Beringin
,”
J. Comput. Networks, Archit. High-Performance Comput.
, vol.
2
, no.
2
, pp.
304
–
306
,
2020
.
Google Scholar
 
10.
Y.
Irawan
, “
Implementation Of Data Mining For Determining Majors Using K-Means Algorithm In Students Of SMA Negeri 1 Pangkalan Kerinci
,”
J. Appl. Eng. Technol. Sci.
, vol.
1
, no.
1
, pp.
17
–
29
,
2019
.
Google Scholar
 
11.
N.
Aritonang
,
I.
NyomanDegeng
, and
M.
Triyono
, “Differential Talent Test and Lee-Thorpe Interest Test: Study of Predictive Validity in Specialization of High School Students,” in
ICONSEIR 2019: Proceedings of the 2nd International Conference of Science Education in Industrial Revolution 4.0, ICONSEIR
, December 17th,
2019
,
Medan, North Sumatra
,
Indonesia
, 2020, p.
32
.
Google Scholar
 
12.
Y.
Sunarya
,
N.
Nurhudaya
, and
E. S.
Yudha
, “
Analysis of Determinants of Students’ Learning Success in Senior High School as a Basic Development of Specialization Program at Junior High School
,” in
Proceedings of the 2nd International Conference on Educational Sciences (ICES 2018)
,
2019
.
Google Scholar
 
13.
F. G. J.
Rupilele
 et al, “
Management information system for monitoring and inspection of the implementation of Universities
,”
Int. J. Eng. Technol.
, vol.
7
, no.
2.13
Special Issue 13, pp.
451
–
456
,
2018
.
https://doi.org/10.14419/ijet.v7i2.13.18138
Google Scholar
Crossref
Search ADS
 
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