Dhimas Mahardhika
Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro Semarang

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Pengembangan Trafo Distribusi Berdasarkan Pertumbuhan Beban Tahun 2012 – 2016 di UPJ Batang Mahardhika, Dhimas; Nugroho, Agung; Sukmadi, Tejo
Transmisi Vol 12, No 3 (2010): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.338 KB) | DOI: 10.12777/transmisi.12.3.87-93

Abstract

Electric energy infrastructure as one of the livelihood of the people concerning the distribution of electrical energy must be able to guarantee in an amount sufficient, reasonable price and good quality. Electrical energy demand will increase in line with regional economic development and population growth and the growth of electric power loads. And It need forecasting electrical energy within a period of 5 years and doing physical development. One of them, ​​the development of distribution transformers to help electrical service to the new customers. In meeting the increasing electricity, then implemented the development of distribution networks. In the development of distribution networks, it would require the development of distribution transformers. In the development of distribution transformers, electricity demand forecasting needs to be done to get the load growth. Forecasting model used is using the DKL 3.2 model. After getting the results of load growth (KVA) with DKL 3,2 model, then divided according to the needs of growth so that the load can be simulated to ETAP 7.0.0 software simulates previously existing in 2011 as the basis of the development of distribution transformers in 2012 to 2016 from result study in PT PLN Persero UPJ Batang. From the calculation of the development of distribution transformers based on load growth forecasting results DKL model 3.2, it was found that the number of placements the development of distribution transformers based on land-use map of the area which is then divided in accordance with the development of the existing load growth. Showed that the number and type distribution transformers capacity development each year is different. From 2012 to 2016, there were variations in the number and type of capacity transformer including transformer 1 phase 50 KVA, 3 phase 50 and 100 KVA, and also the replacement transformer or upgrading of transformer 1 phase 25 to 50 KVA. After simulated using ETAP 7.0.0, the losses of energy development in 2012 to 2016 has increased gradually due to the load growth. But there are some feeders whose load to be cut, so that the losses value of energy to be down. Keyword :   Diistribution of electric energy, Load forecasting, DKL 3.2, ETAP 7.0.0, Development of distribution transformers
Analysis Of Price Perception, Brand Awareness, Delivery Quality On Customer Satisfaction And Repurchase Intention: Case Study On Consumers Of Menantea Products In Pajajaran, Bogor Mahardhika, Dhimas; Adi Nurmahdi
Dinasti International Journal of Education Management And Social Science Vol. 4 No. 3 (2023): Dinasti International Journal of Education Management and Social Science (Febru
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijemss.v4i3.1615

Abstract

This research was conducted to know the effect of perceived price, brand awareness, quality of delivery on customer satisfaction and repurchase intention. This study used Menantea products in Pajajaran, Bogor and the number of samples used in this study were 255 respondents. This study used a purposive sampling, a questionnaire procedure, and used partial least squares (PLS). The findings explained that perceived price, brand awareness, and quality of delivery had a significant impact on customer satisfaction and repurchase intention. Customer satisfaction has a positive and significant effect on repurchase intention. The management implication in this study is to increase repurchase intention and customer satisfaction. It is necessary to improve product quality so that consumers have the impression that the prices offered are in accordance with quality, increase consumer awareness via internet promotions, and improve the quality of product/service delivery by increasing operating hours, to serve consumers.
Marketing Automation in Academic Literature: A Systematic Analysis of its Definitions and Categories Pamungkas, Benni Ahdiyana; Mahardhika, Dhimas; Marniwati, Marniwati
Journal of Economics and Business UBS Vol. 14 No. 5 (2025): Journal of Economics and Business UBS
Publisher : Cv. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/m9e86y14

Abstract

Marketing automation has become increasingly critical in contemporary business practices, with the global market reaching $6.5 billion in 2023 and projected to grow to $9.5 billion by 2027. However, academic literature currently presents fragmented and diverse definitions of marketing automation, creating both theoretical ambiguity and practical confusion in understanding this construct. This conceptual inconsistency hinders scholarly discourse and impedes practitioners’ ability to make informed decisions regarding technology adoption and implementation. The purpose of this study is to determine the definition of marketing automation based on existing literature. A systematic literature review (SLR) was conducted, and 12 articles on marketing automation were obtained. The results indicate four categories of marketing automation discussions based on definitions. From a theoretical perspective, this study contributes to conceptual clarity by synthesizing fragmented definitions into a coherent framework, while from a practical standpoint, it provides business practitioners with a structured understanding to guide investment decisions and implementation strategies in marketing automation technology. This study clarifies the diversity of marketing automation definitions based on academic literature, which can serve as a theoretical basis for further research and as a foundation for practical digital-based decision-making.