Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science Business Economic, Communication, and Social Sciences Journal (BECOSS)
Melva Hermayanty Saragih
Bina Nusantara University
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pengaruh Kepemimpinan Servant dan Kepemimpinan Transformasional Terhadap Organizational Citizenship Behavior (OCB) Melva Hermayanty Saragih; Andana Andana; Farland Al Hafiz; Muhammad Alvin Meilando
Business Economic, Communication, and Social Sciences (BECOSS) Journal Vol. 3 No. 1 (2021): BECOSS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v3i1.6924

Abstract

This study aims to examine the effect of Servant Leadership (SL) and Transformational Leadership (TL) on Organizational Citizenship Behavior (OCB) in a private company in Jakarta, Indonesia. The method used is multiple regression analysis, with a sample of 117 respondents. The results showed that Servant Leadership and Transformational Leadership had a significant effect on Organizational Citizenship Behavior. Thus, SL and TL are variables that are important to be applied in the company, especially in terms of increasing employee commitment and emotional attachment to the company organization.
Inventory Control Analysis with Continous Review System and Periodic Review System Methods at PT. XYZ Shelvy Kurniawan; Melva Hermayanty Saragih; Vivi Angelina
Business Economic, Communication, and Social Sciences (BECOSS) Journal Vol. 4 No. 2 (2022): BECOSS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v4i2.8143

Abstract

Companies must have various strategies in order to survive and face the competition in the retail industry, where the strategy can be in the form of inventory control. The objective of this research is to categorize products owned by PT. XYZ based on the ABC analysis method, to analyze the best forecasting method for PT. XYZ for Filo Compound, Meses Valentino and Mercolade Dark 1 KG, to analyze the total cost using Q-Method & P-Method, and last to compare among Q-Method, P-Method and PT. XYZ’s policy. By doing ABC analysis, company is able to know which products to be prioritized. Forecasting is the first step to find out how much demand is expected in the future by analyzing demand data from the previous period. By having the smallest error which is reflected by MAD and MSE value, Trend Projection is the best method for forecasting as compared to the other five methods. Furthermore, this research is calculating the total cost by using the Q method and P Method to find out the best method with the smallest total cost for PT. XYZ. Q method is the best for Filo Compound and Meses Valentino with the cost saving as much as Rp 38.582.771,08 and Rp 43.215.539,68. While for the Mercolade Dark 1 KG, P Method is the best method with the cost saving as much as Rp 200.290.337,56.
E-Commerce Recommender For Usage Bandwidth Hotel Sfenrianto Sfenrianto; Melva Hermayanty Saragih; Bayu Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp227-233

Abstract

The customer interest is often affected the promotions or product offered it his/her access. The aim of this research is to evaluate the recommendation system, as a promotion model or product offered, on e-commerce to the customer interest. This research focuses on e-commerce which offers the bandwidth internet for a hotel. Firstly, prototype of e-commerce which has recommendation system is built. Then, the eCommerce is evaluated by value creation of an eCommerce. There are four factors value creation, efficiency, lock-in, complementary and novelty based on R. Amit’s and Zott theory. After conducting the evaluation, two factors, efficiency and complementary, are significant to the value creation for eCommerce recommendation, yet the other factors, lock-in and novelty are not significant. This research also confirms that the number of subscribers’ eCommerce increases until 45.06% with using the recommendation than without recommendation.
Co-Authors Andana Andana Bayu Nugraha Farland Al Hafiz Muhammad Alvin Meilando Sfenrianto Sfenrianto Shelvy Kurniawan Vivi Angelina