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Interaksi Antara Pendidik Dengan Peserta Didik Dan Pembentukkan Karakter Alumni Yang Sukses FERDINAL R; ELVINA SANDRA
JURNAL ILMU PENGETAHUAN & SISTEM INFORMASI (JIPSI) Vol 4 No November (2017): JIPSI, Edisi November 2017
Publisher : DEPATI PARBO PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.331 KB)

Abstract

ABSTRACT There are many problem in learning process, which one is the interaction between educators and learners and establishment of succesful the character of the graduated. The interaction between educators and learners is very important in learning process, the learners must be understanding of the educators message in the process of the learning. In the other word, interaction as instructors earn them respect, admiration, and popolarity. It also true because without the interaction impossible the learning process will becoming accomplished . Establishment of a successful way of the graduates characters just things that important also in the education process. Because this is a goal of the learning process and the enhancement of the education greet today. Thre are three key of getting the succesful in establishment of the graduates characters, skills, knowledge, and the attitude of character and also the mindset. Furthermore, Interaction is the complete that the educators and learners have to apply in the process of eduation or learning process and the way to establishment of the characters building of the graduation or learners. Keyword : education, educators and learners, character of the graduated, mindset.
Sistem Pendukung Keputusan Pengkategorian Nasabah Menggunakan Clustering Dengan Algoritma K-Means ELVINA SANDRA
JURNAL ILMU PENGETAHUAN & SISTEM INFORMASI (JIPSI) Vol 4 No November (2017): JIPSI, Edisi November 2017
Publisher : DEPATI PARBO PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.751 KB)

Abstract

ABSTRACT Clustering adalah sebuah metode yang ada didalam sistem penunjang keputusan yang dapat digunakan untuk membedakan dan mengelompokan data dalam scala besar dimana dengan metode ini kita bisa menentukan karakter dari masing-masing kumpulan data. Mempelajari sifat dari nasabah adalah salah satu pokok utama yang harus dilakukan oleh seorang analis kredit agar tidak terjadinya permasalahan kredit macet dalam sebuah lembaga keuangan dengan menerapkan algoritma K_Means ini diharapkan kita bisa mempelajari bagaimana karakter –karakter nasabah pada sebuah lembaga perbankan agar kita bisa memprediksi kelancaran operasional lembaga perbankan tersebut dalam memberikan pelayanan serta menjaga kstabilan perusahaannya. Keyword clustering, datamining, k_means
Analisis Faktor Tingkat Literasi Keuangan Mahasiswa AMIK Depati Parbo Kerinci R, Ferdinal; Elvina Sandra
Ebisma (Economics, Business, Management, & Accounting Journal) Vol. 4 No. 2 (2024): Economics, Business, Management, & Accounting Journal (Ebisma)
Publisher : Haka Vyza Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61083/ebisma.v4i2.52

Abstract

This study aims to analyze the level of financial literacy of AMIK Depati Parbo Kerinci students, along with the factors that influence it. This study is quantitative, with a saturated sample consisting of all AMIK Depati Parbo Kerinci students. The data analysis technique used is multiple linear regression. The results of this study indicate that there is a significant influence between gender, parental education level and parental income level on the financial literacy of AMIK Depati Parbo Kerinci students.