2018
DOI: 10.22146/buletinpsikologi.40361
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Stimulus Gambar: Sebuah Kajian pada Instrumen Minat Vokasional

Abstract: Vocational interest instruments are mostly based on verbal stimuli which require subjects’ reading ability. Another form of stimuli is needed for the populations that have reading difficulty. This article offers an explanation of using pictures as stimuli in the development of an instrument to assess adolescents’ vocational interest as well as the steps in developing pictorial stimuli. Compared to verbal, pictorial stimuli are closer to real life and have supporting information related to the activities. Howev… Show more

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Cited by 2 publications
(2 citation statements)
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“…Subando (2022) menggunakan metode ini untuk menguji validitas dan reliabilitas instrumen non-tes berupa skala pantang menyerah pada prajurit TNI Angkatan Udara. Sementara Nurcahyo, Azwar, & Martani (2018) melaporkan penggunaan metode penelitian dan pengembangan dengan model ADDIE dalam pengembangan instrumen minat vokasional berbentuk stimulus gambar untuk remaja Indonesia.…”
Section: Deskripsi Metodeunclassified
“…Subando (2022) menggunakan metode ini untuk menguji validitas dan reliabilitas instrumen non-tes berupa skala pantang menyerah pada prajurit TNI Angkatan Udara. Sementara Nurcahyo, Azwar, & Martani (2018) melaporkan penggunaan metode penelitian dan pengembangan dengan model ADDIE dalam pengembangan instrumen minat vokasional berbentuk stimulus gambar untuk remaja Indonesia.…”
Section: Deskripsi Metodeunclassified
“…This algorithm can be implemented in high dimensional data such as images and text, and also in classification, texture modeling, motion modeling, information retrieval, and recognition. Besides being used for classification in several studies [12] [14], it has also been used for recommendation system such as movie recommendations based on user rating preference [15] and predicting drug side effects [16]. It can also be used for clustering, as seen in a study about speaker clustering and tracking tasks in TV [17].…”
Section: Restricted Boltzman Machinementioning
confidence: 99%