How to cite this paper
Setyadi, H., Supriyanta, S., Ruswanti, D & Wahyuningsih, H. (2024). Profession recommendation based on multiple intelligence for high school students.Management Science Letters , 14(1), 33-42.
Refrences
Abe, E. N., & Chikoko, V. (2020). Exploring the factors that influence the career decision of STEM students at a university in South Africa. International Journal of STEM Education, 7(1), 1–14. https://doi.org/10.1186/s40594-020-00256-x
Agustin, M., Puspita, R. D., Inten, D. N., & Setiyadi, R. (2021). Early detection and stimulation of multiple intelligences in kindergarten. International Journal of Instruction, 14(4), 873–890. https://doi.org/10.29333/iji.2021.14450a
Ahsan, M., Setiyaningsih, W., Susilowati, M., Dijaya, R., & Tjahjanti, P. H. (2019). Selecting multiple intelligences on children with weighted product, analytical hierarchy process, simple additive weighting and TOPSIS. Journal of Physics: Conference Series, 1402(7), 1–7. https://doi.org/10.1088/1742-6596/1402/7/077033
Alilateh, A., & Widyantoro, A. (2019). The effectiveness of using multiple intelligence activities in listening comprehension and improving students’ interest. LingTera, 6(2), 111–118. https://doi.org/10.21831/lt.v6i2.10625
Andreana, M. O. C., & Putri, I. G. A. M. A. D. (2020). The effect of intellectual intelligence, emotional intelligence, spiritual intelligence and gender on ethical behavior. Accounting, 6(7), 1411–1418. https://doi.org/10.5267/j.ac.2020.8.008
Asrowi, Hanif, M., & Setiawan, B. (2020). Career Development: The Role of Career Counsellor towards Job Counselling. International Journal of Instruction, 14(1), 661–672. https://doi.org/10.29333/IJI.2021.14140A
Ayriza, Y., Triyanto, A., Setiawati, F. A., & Gunawan, N. E. (2020). Exploring children’s career interests and knowledge based on holland’s theory. International Journal of Instruction, 13(4), 643–662. https://doi.org/10.29333/iji.2020.13440a
Chuan, Y. S., Hee, L. M., Hoou, H. K., & Cheng, E. H. (2023). Bayes’ Theorem for Multi-Bearing Faults Diagnosis. International Journal of Automotive and Mechanical Engineering, 20(2), 10371–10385. https://doi.org/10.15282/ijame.20.2.2023.04.0802
Dodd, V., Hanson, J., & Hooley, T. (2022). Increasing students’ career readiness through career guidance: measuring the impact with a validated measure. British Journal of Guidance and Counselling, 50(2), 260–272. https://doi.org/10.1080/03069885.2021.1937515
Ernawati, E., Tsurayya, H., & Ghani, A. R. A. (2019). Multiple intelligence assessment in teaching English for young learners. Research and Evaluation in Education, 5(1), 21–29. https://doi.org/10.21831/reid.v5i1.23376
Fadloli, M., Sumarti, S. S., & Mursiti, S. (2021). Exploration of Multiple Intelligences for High School Students in Chemistry Learning in Semarang City. Journal of Innovative Science Education, 10(2), 158–167. https://doi.org/10.15294/jise.v9i3.41411
Fatmasari, F., & Supriyatna, A. (2019). Election and Career Development Based on Interest, Talent and Personality Teenagers Using Forward Chaining. JUITA : Jurnal Informatika, 7(1), 33. https://doi.org/10.30595/juita.v7i1.4128
Handrizal, Hayatunnufus, & Aldino. (2022). Implementation of Weighted Product and Technique for Order Preference By Similarity To Ideal Solution in Selecting the Best Particleboard. Journal of Theoretical and Applied Information Technology, 100(19), 5462–5468. http://www.jatit.org/volumes/Vol100No19/5Vol100No19.pdf
Hilyana, F. S., & Khotimah, T. (2021). Analysis of Student Activities in E-learning Based on Multiple Intelligences. Journal of Physics: Conference Series, 1779(1), 1–7. https://doi.org/10.1088/1742-6596/1779/1/012054
Huda, D. N. (2017). Expert System for Talent Detection in Children Aged 4 to 6 Years Using the Bayes Theorem Method. Jurnal Bangkit Indonesia, 6(2), 1–16. https://doi.org/10.52771/bangkitindonesia.v6i2.44
Iskandar, D., & Marjuki. (2022). Classification of Melinjo Fruit Levels Using Skin Color Detection With Rgb and Hsv. Journal of Applied Engineering and Technological Science, 4(1), 123–130. https://doi.org/10.37385/jaets.v4i1.958
Khatijatusshalihah, Riamanda, I., Aprilia, E. D., & Nisa, H. (2022). Career decision self-efficacy of Indonesian students. INSPIRA: Indonesian Journal of Psychological Research, 3(1), 17–22. https://doi.org/10.32505/inspira.v3i1.4131
Koolnaphadol, P., Inang, P., & Dudsdeemaytha, J. (2022). Online Career Intelligence Test: Self-Assessment for Students’ Career and Abilities. International Journal of Instruction, 15(2), 1075–1086. https://doi.org/10.29333/iji.2022.15259a
Kotova, S., Hasanova, I., Sadovnikova, N., Komarov, E., & Wenbin, L. (2021). Self-efficacy as a personality predictor of the career orientations of college students. International Journal of Instruction, 14(4), 1047–1064. https://doi.org/10.29333/iji.2021.14460a
Kurniawati, Y., Wigati, M. R., & Hasri, S. (2021). Information and communications technology (ICT) based of chemistry instructional learning design for students with multiple intelligence. Journal of Physics: Conference Series, 1779(1), 1–8. https://doi.org/10.1088/1742-6596/1779/1/012062
Laia, T., & Hasugian, P. S. (2022). Expert System to Diagnose Eye Disease Due to Frequently Using Computer with Bayes Theorem Method. Journal of Intelligent Decision Support System (IDSS), 5(1), 1–9. https://doi.org/10.35335/idss.v5i1.46
Mayub, A., & Fahmizal, F. (2022). Developing Multiple Intelligences Through Ict-Based E-Learning Program. IJIET (International Journal of Indonesian Education and Teaching), 7(1), 48–60. https://doi.org/10.24071/ijiet.v7i1.3117
Ningsih, C. (2020). Expert System Diagnosing Heart Disease using Bayes ’ Theorem Method. International Journal of Basic and Applied Science, 9(2), 38–42. https://doi.org/https://doi.org/10.35335/ijobas.v9i2.14
Nulhakim, L., & Berlian, L. (2020). Investigation of multiple intelligence of primary school students. Jurnal Inovasi Pendidikan IPA, 6(1), 101–113. https://doi.org/10.21831/jipi.v6i1.29478
Permana, A., Aima, M. H., Ariyanto, E., Nurmahdi, A., Sutawidjaya, A. H., & Endri, E. (2021). The effect of compensation and career development on lecturer job satisfaction. Accounting, 7(6), 1287–1292. https://doi.org/10.5267/j.ac.2021.4.011
Pham, M. T. (2020). The effect of professional identification and organizational identification on career satisfaction, job satisfaction and organizational commitment. Management Science Letters, 10(11), 2683–2694. https://doi.org/10.5267/j.msl.2020.3.024
Putra, S. D., Borman, R. I., & Arifin, G. H. (2022). Assessment of Teacher Performance in SMK Informatika Bina Generasi using Electronic-Based Rating Scale and Weighted Product Methods to Determine the Best Teacher Performance. International Journal of Informatics, Economics, Management and Science, 1(1), 55. https://doi.org/10.52362/ijiems.v1i1.693
Ramadhani, M., Sihombing, V., & Masrizal, M. (2021). Implementation of the Bayes theorem method for identifying diseases of children under five. SinkrOn, 5(2), 260–265. https://doi.org/10.33395/sinkron.v5i2.10907
Rasheed, M. S., Odeesh, J. Y., & Ibrahim, T. A. (2022). Financial compensation and talent retention in COVID-19 era: The mediating role of career planning. Management Science Letters, 12(1), 35–42. https://doi.org/10.5267/j.msl.2021.8.003
Sa’ad, M. I., Bryan, D., Kusrini, & Supriatin. (2020). Decision Support System for Covid19 Affected Family Cash Aid Recipients Using the Naïve Bayes Algorithm and the Weight Product Method. 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020, 120–125. https://doi.org/10.1109/ICOIACT50329.2020.9331964
Sahoo, B., Behera, R. N., & Pattnaik, P. K. (2022). A Comparative Analysis of Multi-Criteria Decision Making Techniques for Ranking of Attributes for e-Governance in India. International Journal of Advanced Computer Science and Applications, 13(3), 65–70. https://doi.org/10.14569/IJACSA.2022.0130311
Sinaga, D. C. P., & Sianipar, B. (2021). Application of the Weighted Product Method for the Selection of Candidates for the National Science Olympiad At Smk Yapim Biru. Infokum, 10(1), 126–134. http://infor.seaninstitute.org/index.php/infokum/article/view/224
Utami, L. A., & Febriningrum, K. (2023). Implementation of Weighted Product Method in Determining Selection the Best Music Streaming Service Application. Jurnal Techno Nusa Mandiri, 20(1), 31–40. https://doi.org/10.33480/techno.v20i1.3126
Vangara, R. V. B., Thirupathur, K., & Vangara, S. P. (2020). Opinion Mining Classification u sing Naive Bayes Algorithm. International Journal of Innovative Technology and Exploring Engineering, 9(5), 495–498. https://doi.org/10.35940/ijitee.e2402.039520
Vural, M. S., & Telceken, M. (2022). Modification of posterior probability variable with frequency factor according to Bayes Theorem. Journal of Intelligent Systems with Applications, 5(1), 19–26. https://doi.org/10.54856/jiswa.202205195
Wulansari, R. E., Sakti, R. H., Ambiyar, A., Giatman, M., Wakhinuddin, & Syah, N. (2022). Expert System for Career Early Determination Based on Howard Gardner’S Multiple Intelligence. Journal of Applied Engineering and Technological Science, 3(2), 67–76. https://doi.org/10.37385/jaets.v3i2.568
Agustin, M., Puspita, R. D., Inten, D. N., & Setiyadi, R. (2021). Early detection and stimulation of multiple intelligences in kindergarten. International Journal of Instruction, 14(4), 873–890. https://doi.org/10.29333/iji.2021.14450a
Ahsan, M., Setiyaningsih, W., Susilowati, M., Dijaya, R., & Tjahjanti, P. H. (2019). Selecting multiple intelligences on children with weighted product, analytical hierarchy process, simple additive weighting and TOPSIS. Journal of Physics: Conference Series, 1402(7), 1–7. https://doi.org/10.1088/1742-6596/1402/7/077033
Alilateh, A., & Widyantoro, A. (2019). The effectiveness of using multiple intelligence activities in listening comprehension and improving students’ interest. LingTera, 6(2), 111–118. https://doi.org/10.21831/lt.v6i2.10625
Andreana, M. O. C., & Putri, I. G. A. M. A. D. (2020). The effect of intellectual intelligence, emotional intelligence, spiritual intelligence and gender on ethical behavior. Accounting, 6(7), 1411–1418. https://doi.org/10.5267/j.ac.2020.8.008
Asrowi, Hanif, M., & Setiawan, B. (2020). Career Development: The Role of Career Counsellor towards Job Counselling. International Journal of Instruction, 14(1), 661–672. https://doi.org/10.29333/IJI.2021.14140A
Ayriza, Y., Triyanto, A., Setiawati, F. A., & Gunawan, N. E. (2020). Exploring children’s career interests and knowledge based on holland’s theory. International Journal of Instruction, 13(4), 643–662. https://doi.org/10.29333/iji.2020.13440a
Chuan, Y. S., Hee, L. M., Hoou, H. K., & Cheng, E. H. (2023). Bayes’ Theorem for Multi-Bearing Faults Diagnosis. International Journal of Automotive and Mechanical Engineering, 20(2), 10371–10385. https://doi.org/10.15282/ijame.20.2.2023.04.0802
Dodd, V., Hanson, J., & Hooley, T. (2022). Increasing students’ career readiness through career guidance: measuring the impact with a validated measure. British Journal of Guidance and Counselling, 50(2), 260–272. https://doi.org/10.1080/03069885.2021.1937515
Ernawati, E., Tsurayya, H., & Ghani, A. R. A. (2019). Multiple intelligence assessment in teaching English for young learners. Research and Evaluation in Education, 5(1), 21–29. https://doi.org/10.21831/reid.v5i1.23376
Fadloli, M., Sumarti, S. S., & Mursiti, S. (2021). Exploration of Multiple Intelligences for High School Students in Chemistry Learning in Semarang City. Journal of Innovative Science Education, 10(2), 158–167. https://doi.org/10.15294/jise.v9i3.41411
Fatmasari, F., & Supriyatna, A. (2019). Election and Career Development Based on Interest, Talent and Personality Teenagers Using Forward Chaining. JUITA : Jurnal Informatika, 7(1), 33. https://doi.org/10.30595/juita.v7i1.4128
Handrizal, Hayatunnufus, & Aldino. (2022). Implementation of Weighted Product and Technique for Order Preference By Similarity To Ideal Solution in Selecting the Best Particleboard. Journal of Theoretical and Applied Information Technology, 100(19), 5462–5468. http://www.jatit.org/volumes/Vol100No19/5Vol100No19.pdf
Hilyana, F. S., & Khotimah, T. (2021). Analysis of Student Activities in E-learning Based on Multiple Intelligences. Journal of Physics: Conference Series, 1779(1), 1–7. https://doi.org/10.1088/1742-6596/1779/1/012054
Huda, D. N. (2017). Expert System for Talent Detection in Children Aged 4 to 6 Years Using the Bayes Theorem Method. Jurnal Bangkit Indonesia, 6(2), 1–16. https://doi.org/10.52771/bangkitindonesia.v6i2.44
Iskandar, D., & Marjuki. (2022). Classification of Melinjo Fruit Levels Using Skin Color Detection With Rgb and Hsv. Journal of Applied Engineering and Technological Science, 4(1), 123–130. https://doi.org/10.37385/jaets.v4i1.958
Khatijatusshalihah, Riamanda, I., Aprilia, E. D., & Nisa, H. (2022). Career decision self-efficacy of Indonesian students. INSPIRA: Indonesian Journal of Psychological Research, 3(1), 17–22. https://doi.org/10.32505/inspira.v3i1.4131
Koolnaphadol, P., Inang, P., & Dudsdeemaytha, J. (2022). Online Career Intelligence Test: Self-Assessment for Students’ Career and Abilities. International Journal of Instruction, 15(2), 1075–1086. https://doi.org/10.29333/iji.2022.15259a
Kotova, S., Hasanova, I., Sadovnikova, N., Komarov, E., & Wenbin, L. (2021). Self-efficacy as a personality predictor of the career orientations of college students. International Journal of Instruction, 14(4), 1047–1064. https://doi.org/10.29333/iji.2021.14460a
Kurniawati, Y., Wigati, M. R., & Hasri, S. (2021). Information and communications technology (ICT) based of chemistry instructional learning design for students with multiple intelligence. Journal of Physics: Conference Series, 1779(1), 1–8. https://doi.org/10.1088/1742-6596/1779/1/012062
Laia, T., & Hasugian, P. S. (2022). Expert System to Diagnose Eye Disease Due to Frequently Using Computer with Bayes Theorem Method. Journal of Intelligent Decision Support System (IDSS), 5(1), 1–9. https://doi.org/10.35335/idss.v5i1.46
Mayub, A., & Fahmizal, F. (2022). Developing Multiple Intelligences Through Ict-Based E-Learning Program. IJIET (International Journal of Indonesian Education and Teaching), 7(1), 48–60. https://doi.org/10.24071/ijiet.v7i1.3117
Ningsih, C. (2020). Expert System Diagnosing Heart Disease using Bayes ’ Theorem Method. International Journal of Basic and Applied Science, 9(2), 38–42. https://doi.org/https://doi.org/10.35335/ijobas.v9i2.14
Nulhakim, L., & Berlian, L. (2020). Investigation of multiple intelligence of primary school students. Jurnal Inovasi Pendidikan IPA, 6(1), 101–113. https://doi.org/10.21831/jipi.v6i1.29478
Permana, A., Aima, M. H., Ariyanto, E., Nurmahdi, A., Sutawidjaya, A. H., & Endri, E. (2021). The effect of compensation and career development on lecturer job satisfaction. Accounting, 7(6), 1287–1292. https://doi.org/10.5267/j.ac.2021.4.011
Pham, M. T. (2020). The effect of professional identification and organizational identification on career satisfaction, job satisfaction and organizational commitment. Management Science Letters, 10(11), 2683–2694. https://doi.org/10.5267/j.msl.2020.3.024
Putra, S. D., Borman, R. I., & Arifin, G. H. (2022). Assessment of Teacher Performance in SMK Informatika Bina Generasi using Electronic-Based Rating Scale and Weighted Product Methods to Determine the Best Teacher Performance. International Journal of Informatics, Economics, Management and Science, 1(1), 55. https://doi.org/10.52362/ijiems.v1i1.693
Ramadhani, M., Sihombing, V., & Masrizal, M. (2021). Implementation of the Bayes theorem method for identifying diseases of children under five. SinkrOn, 5(2), 260–265. https://doi.org/10.33395/sinkron.v5i2.10907
Rasheed, M. S., Odeesh, J. Y., & Ibrahim, T. A. (2022). Financial compensation and talent retention in COVID-19 era: The mediating role of career planning. Management Science Letters, 12(1), 35–42. https://doi.org/10.5267/j.msl.2021.8.003
Sa’ad, M. I., Bryan, D., Kusrini, & Supriatin. (2020). Decision Support System for Covid19 Affected Family Cash Aid Recipients Using the Naïve Bayes Algorithm and the Weight Product Method. 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020, 120–125. https://doi.org/10.1109/ICOIACT50329.2020.9331964
Sahoo, B., Behera, R. N., & Pattnaik, P. K. (2022). A Comparative Analysis of Multi-Criteria Decision Making Techniques for Ranking of Attributes for e-Governance in India. International Journal of Advanced Computer Science and Applications, 13(3), 65–70. https://doi.org/10.14569/IJACSA.2022.0130311
Sinaga, D. C. P., & Sianipar, B. (2021). Application of the Weighted Product Method for the Selection of Candidates for the National Science Olympiad At Smk Yapim Biru. Infokum, 10(1), 126–134. http://infor.seaninstitute.org/index.php/infokum/article/view/224
Utami, L. A., & Febriningrum, K. (2023). Implementation of Weighted Product Method in Determining Selection the Best Music Streaming Service Application. Jurnal Techno Nusa Mandiri, 20(1), 31–40. https://doi.org/10.33480/techno.v20i1.3126
Vangara, R. V. B., Thirupathur, K., & Vangara, S. P. (2020). Opinion Mining Classification u sing Naive Bayes Algorithm. International Journal of Innovative Technology and Exploring Engineering, 9(5), 495–498. https://doi.org/10.35940/ijitee.e2402.039520
Vural, M. S., & Telceken, M. (2022). Modification of posterior probability variable with frequency factor according to Bayes Theorem. Journal of Intelligent Systems with Applications, 5(1), 19–26. https://doi.org/10.54856/jiswa.202205195
Wulansari, R. E., Sakti, R. H., Ambiyar, A., Giatman, M., Wakhinuddin, & Syah, N. (2022). Expert System for Career Early Determination Based on Howard Gardner’S Multiple Intelligence. Journal of Applied Engineering and Technological Science, 3(2), 67–76. https://doi.org/10.37385/jaets.v3i2.568