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All Journal JURNAL BARUNA HORIZON Jurnal Pengabdian Masyarakat Management Dynamics: International Journal of Management and Digital Sciences
Achmad Daengs
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Health Professions Public Health Social Sciences Other

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PERAN TIMELIMENES DALAM MENINGKATKAN CUSTOMER SATISFACTION, CUSTOMER LOYALTY PT. JNE Achmad Daengs; Enny Istanti; Indriana Kristiawati
Jurnal Baruna Horizon Vol 5 No 1 (2022): JURNAL BARUNA HORIZON
Publisher : Sekolah TInggi Ilmu Administrasi dan Manajemen Kepelabuhan (STIAMAK) Barunawati Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52310/jbhorizon.v5i1.71

Abstract

Persaingan dalam industri jasa pengiriman menjadi semakin ketat. Dengan adanya kondisi tersebut, membuat setiap perusahaan harus mampu bertahan hidup, bahkan harus dapat terus berkembang. Tujuan dalam penelitian ini adalah untuk menganalisis pengaruh timeliness terhadap Customer Satisfaction dan Customer Loyalty. Jenis penelitian yang digunakan adalah penelitian kausal. Sampel dalam penelitian ini yaitu konsumen yang pernah melakukan menggunakan jasa pengiriman PT. JNE sebanyak 100 sampel dengan menggunakan teknik Accidental sampling. Teknik analisis yang digunakan dalam penelitian ini yaitu analisis Partial Least Square (PLS). Hasil dalam penelitian ini dibuktikan bahwa timeliness berpengaruh signifikan secara langsung terhadap Customer Satisfaction dan Customer Loyalty. Hasil dalam penelitian ini juga dibuktikan bahwa Customer Satisfaction berpengaruh signifikan terhadap Customer Loyalty.
Strategi Pemasaran Pada Perumahan dengan Menggunakan Analisis Swot : (Studi Kasus Pada Perumahan Menganti Alam Raya Sentosa Gresik) Ajeng Prasti Kumalasari; Mahjudin Mahjudin; Aridha Prassetya; Rina Dewi; Achmad Daengs
Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): April: Jurnal Pengabdian Masyarakat
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/abdimas45.v4i1.4020

Abstract

Marketing strategy is one of the weapons for companies to face market competition. Basically, a marketing strategy is to find a match between the company's internal capabilities and external opportunities in the market. However, the Company also needs to recognize the strengths and weaknesses of the company in the competition. This will greatly help companies in recognizing themselves, as well as taking advantage of every opportunity that exists and avoiding or minimizing threats. Where in determining competitive strategies and making decisions, a manager must recognize what are the weaknesses, strengths, threats, opportunities that the company has and recognize the advantages of competitors that may have. Thus, the company must be able to pay attention to factors that can affect the survival of the company, both external and internal factors. In order to find the formulation of an appropriate marketing strategy, it is necessary to identify the strengths, weaknesses, opportunities and threats faced by the company. For this reason, this research was held which focuses on efforts to determine marketing strategies that are in accordance with the company's conditions in the midst of competition. The results of this study show that the company's position is in a state of growth (GROWTH) so that the strategy suggested for PT Bintang Karyasama as the housing developer of Menganti Alam Raya Semtosa is an SO strategy with an emphasis on the strategy of increasing the choice of house types with various price options. Thus, PT Bintang Karyasama as the housing developer of Menganti Alam Raya Semtosa can highlight its competitive advantage compared to other similar competitors.
Dampak Kepercayaan Merek Terhadap Loyalitas Pelanggan : (Studi Kasus Pada Konsumen Hoka Hoka Bento Di Plaza Surabaya) Ika Sufitri; Sugiharto Sugiharto; Aridha Prassetya; Rina Dewi; Achmad Daengs
Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): April: Jurnal Pengabdian Masyarakat
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/abdimas45.v4i1.4021

Abstract

The development of the business world is getting more rapid, eating the busyness of people's mobility in metropolises will continue to grow. Therefore, people take practical and efficient actions by consuming fast food. Moreover, it is supported by an increase in appetite and higher lifestyle changes. Consumer behavior will affect the way consumers view a product. In determining the brand of the product, it will go through the trial stage first by trying a variety of different products. If it is felt that the brand is suitable and meets what is expected of similar products, then consumers will continue to be loyal or loyal to the brand. This phenomenon is read by Hoka Hoka Bento by using various promotions to save packages and improve quality and service. This study aims to discuss and analyze the influence of brand trust on loyalty in Hoka Hoka Bento customers in Plaza Surabaya.The population in this study is Hoka Hoka Bento consumers who have bought and made repurchases at Hoka Hoka Bento Plaza Surabaya. The sample taken was 110 people. The measuring tools used are questionnaires, as well as data that has been analyzed with simple linear regression
Leveraging Predictive Analytics to Enhance Supply Chain and Logistics Efficiency: Evidence from Indonesia National E-commerce Achmad Daengs; Herman Fland Dakhi; Varinder Singh Rana
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 2 (2024): April: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i2.444

Abstract

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.
Co-Authors Ajeng Prasti Kumalasari Aridha Prassetya Enny Istanti Herman Fland Dakhi Ika Sufitri Kristiawati, Indriana Mahjudin Mahjudin Rina Dewi Sugiharto Sugiharto Varinder Singh Rana