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Analisis Pemanfaatan Media Sosial terhadap Pengembangan Usaha Industri Rumah Tangga Era New Normal Megawati Beddu; Rezky Nurbakti; Ulfa Natsir
YUME : Journal of Management Vol 4, No 3 (2021)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v4i3.1101

Abstract

 Kemajuan teknologi menjadikan media sosial berkembang sebagai tempat untuk berbisinis melalui pendekatan dan strategi digital marketing. Digital marketing merupakan pemanfaatan teknologi jaringan untuk dapat mengkoordinasi penelitian pangsa pasar, membantu pengembangan produk, mengembangkan strategi dan taktik memikat konsumen.menyediakan distribusi on line,menciptakan kepuasan pelanggan dan mengumpulkan umpan balik bagi pelanggan sehingga memulihkan pendapatan pelaku usaha industri rumah tangga dari kelumpuhan ekonomi akibat covid 19Penelitian ini dilakukan di kota Parepare dengan tujuan menganalisis pengaruh dan manfaat media sosial bagi pelaku usaha industri rumah tangga era new normal.Penelitian ini menggunakan pendekatan penelitian Deskriptif Observasional pada pelaku usaha industri rumah tangga di kota Parepare dengan menggunakan metode triangulasi yang mengabungkan metode wawancara terstruktur,wawancara mendalam,kuesioner dan observasi terhadap usaha industri rumah tangga dan media sosial yang digunakan. Adapun hasil penelitian  adalah(1) Pelaku usaha industri rumah tangga di kota Parepare  era new normal menggunakan media sosial face book dan whats upp (2) strategi  Pemasaran yang dilakukan pelaku industri rumah tangga di kota Parepare era new normal strategi promosi penjualan ,(3) Manfaat yang diperoleh pelaku usaha industry rumah tangga di kota Pare pare era new norma yaitu (i) Dapat memperkenalkan produk yang dijual,(ii)Meningkatkan Produk Penjualan, (iii) Dapat menarik Pelnggan Baru,(iv) dapat meningkatkan customer partnership, (v) terjadi interaksi intensif dengan konsumen,(vi) Biaya promosi rendah,(vii) memperluas jaringan pasar,(viii) mempertahankan pelanggan.Universitas Internasional BatamKeywords: Media Sosial; Pemasaran, Usaha Industri Rumah tangga
Analysis of Determinant Factors Customer Loyalty Towards Brand in The Telecommunication Industry With The Digitalization Paradigm Agustinus Suradi; Sri Purwati; Muhammad Zakaria; Rezky Nurbakti; Fahrina Mustafa
Jurnal Sistim Informasi dan Teknologi 2024, Vol. 6, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v6i2.349

Abstract

The goal of this research is to determine whether company parties have implemented engagement strategies in the current digital context. This research uses a qualitative marketing research approach. We used a digital platform for the initial data collection stage. The analysis then continued with the creation of a textual corpus. A deep understanding of consumer engagement with brands can help companies build stronger relationships with consumers, create greater value for brands, and maintain a competitive advantage in the marketplace. By paying attention to emotional, cognitive, and behavioral dimensions, companies can develop more holistic and effective strategies for managing consumer engagement and strengthening their brand positioning. Research results reveal that consumers actively seek knowledge and information to enhance their decision-making about brands and products. Mobile telecoms have well-implemented Customer Brand Engagement strategies, but they also need to have a proactive approach in dialogue with customers to maintain their engagement. This means that in addition to understanding and responding to consumer needs and desires, companies also need to be proactive in communicating with customers to strengthen their relationship and engagement with the brand. According to a careful analysis of the lexical units in cluster one, the majority come from Twitter. Cluster two highlights the comparisons that consumers make regarding the technical characteristics of products and services with those of various competitors. Meanwhile, cluster three shows that consumers are increasingly looking for personal services that can meet their needs. Cluster four warns management about loss phenomena that are specific to certain areas or regions. Finally, Cluster Five allows management to understand that consumers are currently less involved in innovative services such as payments via smartphone.
The Application of Neural Network Models to Explain the Relationship Between Stock Value, Returns Value, and Information on Prices Dessy Hariyanti, Ni Kadek; Iwan Henri Kusnadi; Rezky Nurbakti; Enny Diah Astuti; Rahmat Taufik R.L Bau
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i2.525

Abstract

This study aims to identify features for stock market value predictions based on time series grouping. This research uses various data sets for different activities. We have the balance sheet data set, which includes a series of quarterly balance sheets. Next, there is the ratio data set. The clustering data set consists of a series of daily prices. There are two data sets for testing activities: pilot forecasts and investments with daily data, projections, and investments. To speed up the development and exploration of different methods, testing begins with a subset of the data, with additional shares of witnesses. This research uses ARIMA and artificial neural networks to predict stock prices. Predicted results provide an investment strategy that compares the results obtained with what happens, resulting in generally positive profits. The capacity of artificial neural networks to manage non-linearities in financial data explains this. Second, many experiments demonstrate that not all data can be utilized using predicting techniques. These results indicate that improved estimations do not always result from more significant data. Forecast accuracy and performance on the test set will likely be negatively impacted by noise and competing signals introduced by data from unrelated stocks. Put another way, by including unrelated data, the information about the action supplied by the group of which it is a member is obscured. As such, the forecasts more closely align with the market's average behavior than with the performance of a specific stock.
Pengaruh Promosi dan Saluran Distribusi Terhadap Volume Penjualan Pada PT.Niagatama Intimulia Parepare Rezky Nurbakti
JUMABI: Jurnal Manajemen, Akuntansi dan Bisnis Vol 1 No 1 (2023): Januari-JUMABI
Publisher : CV. Eureka Murakabi Abadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56314/jumabi.v1i1.99

Abstract

Tujuan dari penelitian ini untuk Mengetahui pengaruh promosi dan saluran distribusi terhadap volume penjulan pada PT.Niagatama Intimulia Parepare dan Mengetahui variable yang lebih dominan antara promosi dan saluran distribusi terhadap volume penjualan pada PT.Niagatama Intimulia Parepare. Hipotesis yang diajukan : 1) Diduga bahwa promosi dan saluran distribusi mempunyai pengaruh terhadap volume penjualan pada PT.Niagatama Intimulia Parepare, 2) Diduga pula bahwa promosi mempunyai pengaruh lebih dominan terhadap volume penjualan pada PT.Niagatama Intimulia Parepare. Alat analisis yang digunakan dalam penelitian ini : Analisis regresi berganda. Berdasarkan hasil analisis, maka dapat disimpulkan: 1) Terdapat pengaruh antara variable promosi dan saluran distribusi terhadap volume penjualan, 2) Di antara variable promosi dan saluran distribusi yang mempunyai pengaruh lebih dominan terhadap volume penjualan adalah variable promosi. Adapun saran yang diberikan adalah : Perusahaan perlu meningkatkan promosi agar penghasilannya meningkat dengan menggunakan sarana promosi baik langsung maupun tidak langsung serta perusahaan perlu memperhatikan ketepatan penyaluran produk dengan cepat dan tepat agar bisa sampai kepada konsumen.