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All Journal ALIBKIN (Jurnal Bimbingan Konseling) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Luqman Nul Hakim
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Pengaruh Peer Group Terhadap Konsep Diri Siswa Luqman Nul Hakim; Yusmansyah Yusmansyah; Ratna widiastuti
ALIBKIN (Jurnal Bimbingan Konseling) Vol 5, No 3 (2017): ALIBKIN
Publisher : ALIBKIN (Jurnal Bimbingan Konseling)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.18 KB)

Abstract

The purpose of this study was to identify the influence of peer group toward students self concept. The problem in this study was the students self concept. The research method was correlation. The samples were as many as 64 students on Junior High School 13 Bandar Lampung who were determined by simple random sampling technique. The data collecting technique used was a scale of peer group and self-concept. The result data analysis was using simple linear regression analysis, which showed that there was significant influence of peer group toward self concept with index a = 0,00 a = 0,05; Ho was rejected and Ha was accepted. Coefficient Correlation score = 0.635, and the coefficient of determination score = 0,404 or 40.4% which can be interpreted that peer group contributed as much as 40.4% toward the self concept.Tujuan penelitian ini untuk mengetahui pengaruh peer group terhadap konsep diri siswa. Masalah dalam penelitian ini adalah konsep diri siswa. Metode penelitian adalah korelasional. Sampel penelitian sebanyak 64 orang siswa di SMP Negeri 13 Bandar Lampung yang ditentukan dengan teknik simple random sampling. Teknik pengumpulan data menggunakan skala peer group dan konsep diri. Hasil analisis data menggunakan Analisis Regresi Linear Sederhana menunjukkan ada pengaruh peer group terhadap konsep diri yang signifikan dengan indeks ? = 0,00 ? = 0,05; maka Ho ditolak dan Ha diterima. Nilai koefisien korelasi = 0,635 dan nilai koefisien determinasi = 0. 404 atau 40,4% dapat ditarfsirkan peer group memiliki kontribusi sebesar 40,4% tehadap konsep diri.Kata kunci : bimbingan dan konseling, peer group, konsep diri
DECISION SUPPORT SYSTEM USING WEIGHTED PRODUCT METHOD IN CHIPS MATERIAL SELECTION (CASE STUDY: HASTI FAMILY CHIPS BUSINESS) Luqman Nul Hakim; Safwandi; Risawandi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.2406

Abstract

This study designs a decision support system to help the owner of the Hasti Family chips business choose the optimal raw materials in making cassava, banana, and breadfruit chips. The Weighted Product (WP) method is used as a multi-criteria decision-making method by considering criteria such as chip color, chip texture, chip taste, chip durability and fruit price. Criteria data and alternative raw materials are processed using WP calculations to produce the best alternative ranking. The result is a web-based decision support system that implements the WP method, presents an interface for entering data and displays the best alternative ranking. This system improves the efficiency of decision-making, minimizes the risk of selecting inappropriate raw materials, improves product quality, and supports business growth. The results of the research on the decision support system for selecting chips ingredients show that this system determines the best ingredients by finding the final value of the V vector search from 3 cassava data, 3 banana data and 3 breadfruit data that will be entered into the system and get results from butter cassava, which has the highest V value of 0.38311467, followed by wak banana with an impressive V value of 0.398763354, and Bali breadfruit, which has a prominent V value of 0.350015233. The conclusion of this study is that the designed application is able to optimize the process of selecting raw materials for chip production more efficiently, quickly, and this system not only accelerates decision making but also ensures more structured and reliable data recording.
Co-Authors Ratna Widiastuti Risawandi, Risawandi Safwandi Yusmansyah Yusmansyah