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All Journal Indonesian Journal of Electrical Engineering and Computer Science International Journal of Research in Counseling
Sanjay Sharma, Sanjay
Malaviya National Institute of Technology
Education Social Sciences Other

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FACTORS CAUSING SEXUAL HARASSMENT AGAINST TEENAGERS Ningsih, Widya; Irman, Irman; Yeni, Putri; Myint, Aung; Sharma, Sanjay
International Journal of Research in Counseling Vol. 4 No. 2 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/ijrc.v4i2.82

Abstract

Sexual harassment is behavior or attention of a sexual nature that is unwelcome and undesirable and has the effect of disturbing the recipient of the harassment. Sexual harassment includes, but is not limited to: sexual payment for wanting something, coercion to perform sexual activities, derogatory statements about sexual orientation or sexuality, requests to perform sexual acts that the perpetrator likes, speech or behavior that has a sexual connotation; all can be classified as sexual harassment. This research is normative legal research or library legal research, namely research carried out by examining library materials or secondary data. Secondary data includes: - Primary legal materials, which consist of statutory regulations in this case in the form of: Criminal Code, Law no. 23 of 2004 and other related regulations. - Secondary legal materials, which provide explanations of primary legal materials, such as written works from legal circles, opinions of legal experts. The main motive for the perpetrator to abuse the victim is because the victim responded to the attitude shown by the perpetrator or the feedback shown by the victim. The response intended by the perpetrator is an open attitude shown by the victim, such as frequently replying to the perpetrator's WA chats, smiling and saying hello when they meet, being friendly, appearing seductive according to the perpetrator, and not avoiding being approached by the perpetrator.
Evaluating test case minimization with DB K-means Sharma, Sanjay; Choudhary, Jitendra
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 2: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i2.pp555-563

Abstract

This paper evaluates a new method for test case minimization using clustering methods. Clustering is a method used on data sets to generate clusters of the same behavior; thus, unnecessary and redundant data sets are removed. Hence, minimized data sets are generated that represent the same coverage as the original data sets. This is achieved by a new method based on clustering that separates data sets into two sets, outlier and non-outlier, after reducing redundant test cases, combines minimized data sets named DB K-means. The methods individually worked on outlier and non-outlier data sets and removed redundant data sets to minimize test cases. The result of the proposed method is better than the simple clustering method used for test case minimization. The software development would only be complete with software testing. Enhancing software quality requires testing numerous test cases, a laborious and time-consuming process, testing a program using a set of inputs known as test cases. Test case minimization approaches are critical in software testing, as they optimize testing resources and provide comprehensive coverage. Minimization is the process of choosing a subset of test cases that accurately captures the behavior of the entire test suite to minimize duplicacy and increase efficiency.
Co-Authors Choudhary, Jitendra Irman Irman Myint, Aung Widya Ningsih Yeni, Putri