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All Journal Jurnal Ekobis : Ekonomi Bisnis & Manajemen Telaah Bisnis
Wahyu Eko Prasetyo
Universitas Muhammadiyah Sidoarjo
Economics, Econometrics & Finance Social Sciences

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MANAJEMEN DATA DIGITAL: ANALISIS EFEKTIFITAS DAN STRATEGI PENGGUNAAN DATABASE FOLLOWERS Wahyu Eko Prasetyo
Jurnal Ekobis : Ekonomi Bisnis & Manajemen Vol 12, No 2 (2022): Jurnal Ekobis: Ekonomi Bisnis dan Manajemen
Publisher : STIE Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37932/j.e.v12i2.600

Abstract

Berkembangnya teknologi yang berimplikasi pada berubahnya customer style dalam melakukan transaksi belanja harus di respon secara intens oleh para pelaku bisnis khususnya pebisnis yang menggunakan platform digital dalam proses pemasaran produknya. Saat ini belanja online sudah menjadi pola dan kebiasaan baru para konsumen pemakai suatu produk. Sehingga para pelaku bisnis harus bisa mengikuti trend sekaligus mengkomodasi strategi penjualan melalui platform digital. Tantangan utama yang harus dihadapi para pemilik bisnis adalah bagaimana bisa menarik perhatian calon konsumen untuk mengunjungi toko online yang mereka miliki. Salah satu cara yang trend saat ini banyak dilakukan adalah dengan memperbanyak followers agar probability value produk yang dijual semakin tinggi diterima oleh calon konsumen. Penelitian ini bertujuan untuk menganalisis beberapa metode pengolahan data followers beserta efektivitasnya dengan menggunakan metode analisis kualitatif deskriptif dengan pengumpulan data menggunakan wawancara dan studi laporan data marketplace pemilik bisnis. Hasil penelitian ini menunjukkan bahwa setidaknya ada dua kategori jenis followers yaitu followers organik (aktif) dan unorganik (pasif). Perusahaan model sejenis jasa lebih tepat menggunakan metode pengelolahan database followers dengan membeli followers unorganik untuk meningkatkan nilai trust. Kemudian perusahaan bertipe produk musiman bisa menggunakan metode pengelolahan database organik melalui jalur giveaway, dan untuk perusahaan sejenis retail dengan budget pemasaran yang besar lebih tepat menggunakan metode pengelolahan database followers melalui jalur iklan dan promo mandiri. Hasil penelitian ini diharapkan bisa menjadi rekomendasi bagi pelaku bisnis online ketika memutuskan untuk menggunakan strategi pengelolahan database followers sesuai dengan segmentasi produk yang menjadi lini bisnisnya.The development of technology that has implications for changing customer style in conducting shopping transactions must be responded intensely by business people, especially business people who use digital platforms in the process of marketing their products. Nowadays, online shopping has become a new pattern and habit for consumers who use a product. So that business people must be able to follow trends while accommodating sales strategies through digital platforms. The main challenge that business owners have to face is how to attract the attention of potential consumers to visit the online store they have. One way that the current trend is widely done is to increase followers so that the probability value of the products sold is higher and received by potential consumers.  The results of this study show that there are at least two categories of followers, namely organic (active) and unorganic (passive) followers. A service-like model company is more appropriate to use the follower database management method by buying unorganic followers to increase the value of trust.  Then companies with seasonal product types can use the method of managing organic databases through the giveaway channel, and for similar retail companies with large marketing budgets, it is more appropriate to use the follower database management method through independent advertising and promo channels. The results of this study are expected to be a recommendation for online business people when deciding to use a follower database management strategy in accordance with the product segmentation that is their business line.
Analysis of Supply Chain Management System Using Lean Six Sigma with Performance Indicator Measurement Control Wahyu Eko Prasetyo; Rita Ambarwati
Telaah Bisnis Vol 23, No 2 (2022): December 2022
Publisher : Sekolah Tinggi Ilmu Manajemen YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35917/tb.v23i2.313

Abstract

The potential for the development of the beauty product industry in Indonesia is considered very potential. The beauty product industry and trade in Indonesia is projected to increase by USD 7.5 billion with a growth of 6.5% annually for the next five years. The huge potential in the cosmetic retail business is considered to trigger competition, especially in the supply chain system which has implications for product affordability to consumers. So that this becomes an interesting condition for research as well as efforts to provide certain improvement treatments so that there is an improvement in the supply system flow in the object company. In this study, 3 layers of the research process will be carried out, namely observing and describing the existing supply chain system in the research object company, supply chain system improvement and treatment using the lean six sigma model with the stages define, measure, analyze, improve, control (DMAIC), and make observations as well as measurement of improvement results using 4 (four) balanced score card performance indicators. Excavation of data using the method of observation, interviews, scoring key performance indicators in each perspective, and study of the company's operational administration data. Based on the results of the research, the supply system based on 4 balanced-scored card indicators still has shortcomings, namely the debt to equity ratio, customer quantity and quality, internal business organization and personnel accountability. The recommendations of this study can have an improvement effect for object companies and also a reference for other companies specifically with the same segmentation.
Correlation Analysis of Hardiness Personality to Work Motivation of Home Industry Employees Wahyu Eko Prasetyo
Telaah Bisnis Vol 24, No 1 (2023): July 2023
Publisher : Sekolah Tinggi Ilmu Manajemen YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35917/tb.v24i1.336

Abstract

The purpose of this study was to determine the relationship between the hardiness personality variables and work motivation in employees of home Industry. This is interesting because the majority of employees in home indrustiy have employees with different levels of education and characteristics from companies in general. This research is a quantitative research model with a correlational design, the population is taken as many as 89 people who are employees in one of the home industry production companies. Hypothesis testing in this study uses the Pearson (Product Moment) correlation technique  which is aimed at determining the relationship between the independent variable (X) of hardiness personality  and the dependent variable (Y) of work motivation. Based on the calculation of the analysis, r = 0.786 was obtained with sig = 0.000 < 0.050 which means that there is a positive relationship between  personality hardiness and work motivation. Based on the results of determining the category of hardiness personality score information from 89 subjects,  who had a hardiness personality with a low category of 12 employees or 13%, who had a medium hardiness personality  of 47 employees or 53%, and who had a  high  hardiness  personality of 30 employees or 34%. Meanwhile, based on the results of determining the category description of the work motivation score of  89 subjects, who had work motivation with a low category of 5 employees or 6%, who had moderate work motivation of 30 employees or 34%, who had high motivation of  40 employees or 45%, and who had very high work motivation of 14 employees or 16%. So that further research is expected to develop research designs to a wider format with much larger population size. The hope is that it will be able to bring up findings related to hardiness with work motivation in employees.
Co-Authors Rita Ambarwati