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All Journal jeti TECHSI - Jurnal Teknik Informatika Ulead : Jurnal E-pengabdian Journal of Advanced Computer Knowledge and Algorithms
Meri Nova Marito Br Sipahutar
Universitas Mandiri Bina Prestasi
Computer Science & IT Decision Sciences, Operations Research & Management Education Other

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Metode Profile Matching pada Sistem Pendukung Keputusan Penerima Beasiswa Bantuan Siswa Miskin (BSM) di SMAN 1 Pematang Siantar Ade Linhar P, Meri Nova Marito Br Sipahutar, Sardo Pardingotan Sipayung
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 1 (2023): Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i1.352

Abstract

This study aims to develop a decision support system that can facilitate the process of receiving scholarship assistance for poor students. This decision support system uses the calculation method of the profile matching method. This system displays the ranking results of students who meet the criteria for receiving scholarships. The criteria used in this study are academic aspects consisting of semester and class grades, family economic aspects, consisting of parents' occupation, parents' income, number of dependents of parents and children's status. Supporting aspects are organization and non-academic achievements. The decision support system for poor student assistance scholarship recipients helps make decision making easier.
Metode Profile Matching pada Sistem Pendukung Keputusan Penerima Beasiswa Bantuan Siswa Miskin (BSM) di SMAN 1 Pematang Siantar Ade Linhar P, Meri Nova Marito Br Sipahutar, Sardo Pardingotan Sipayung
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 1 (2023): Maret 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i1.405

Abstract

This study aims to develop a decision support system that can facilitate the process of receiving scholarship assistance for poor students. This decision support system uses the calculation method of the profile matching method. This system displays the ranking results of students who meet the criteria for receiving scholarships. The criteria used in this study are academic aspects consisting of semester and class grades, family economic aspects, consisting of parents' occupation, parents' income, number of dependents of parents and children's status. Supporting aspects are organization and non-academic achievements. The decision support system for poor student assistance scholarship recipients helps make decision making easier.
Penerapan Adaboost Pada Algoritma Viola Jones Untuk Deteksi Wajah Meri Nova Marito Br Sipahutar, Ade Linhar, Sardo Pardingotan Sipayung
Jurnal Elektronika dan Teknologi Informasi Vol 4 No 2 (2023): September 2023
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v4i2.409

Abstract

Face detection is the first step in interaction between humans such as image retrieval, tracking, face recognition and so on. Currently, face detection is a very interesting topic for research. The Viola Jones algorithm is the defacto standard for face detection. So the research was carried out using the Viola Jones algorithm. The Viola Jones algorithm has 3 contributions, namely the integral image, the second contribution of the integral image allows very fast feature evaluation by using Adaboost in feature selection and the third is the use of a cascade classifier. The research results show a precision value of 85.54% and a recall of 90.25% for the Baodataset dataset. Meanwhile, for personal data, precision was 88.42% and recall was 90.60%.
Co-Authors Ade Linhar P Izhari, Fahmi Jaidup Banjarnahor Linhar P , Ade Linhar, Ade Putra, Rafi Septiawan Simbolon, Hasanal Fachri Satia Simbolon, Ratna Wati Sipayung, Sardo Pardingotan