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PENERAPAAN POJOK UMKM UNTUK KATALOG PRODUK CRAFT DAN FASHION PADA KOMUNITAS PPKM KAB.BANDUNG Heru Nugroho; Wardani Muhamad; Agus Maolana Hidayat; Kristina Sisilia; Astadi Pangarso Nugroho; Robbi Hendriyanto
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.557

Abstract

In facing the ban on gathering due to the Covid-19 pandemic, MSMEs in the Craft and Fashion sectors in Bandung who are members of the Paguyuban Pengusaha Kecil dan Menengah (PPKM) community need to find alternative ways to market their products. One effective solution is to use an online catalog. Through online catalogs, MSMEs can easily and effectively display their products through online platforms that can be accessed by many people. This allows MSMEs to expand their market and increase product visibility widely. In addition, the use of online catalogs also helps MSMEs save on marketing costs, increase efficiency in managing businesses, and establish connections with potential customers. Thus, the implementation of online catalogs is an important strategy in marketing and business development for MSMEs in Craft and Fashion
PEMBANGUNAN DAN IMPLEMENTASI PORTAL WEBSITE PENYULUHAN PERTANIAN DI BALAI PENYULUHAN PERTANIAN (BPP) LIMBANGAN Heru Nugroho; Patrick Adolf Telnoni; Pramuko Aji; Robbi Hendriyanto; Bayu Rima Aditya; Pikir Wisnu Wijayanto; Wawa Wikusna
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.559

Abstract

Particularly in emerging nations like Indonesia, agriculture plays a significant role in a country's economy. However, farmers frequently encounter a variety of difficulties when trying to increase the quantity and caliber of their agricultural output. Limited access to agricultural extension services is one aspect that has an impact on farmers' capacity to obtain agricultural information and technologies. One of the organizations responsible for helping farmers in the area with agricultural extension services is the Limbangan Agricultural Extension Center (BPP). Currently, BPP Limbangan provides information to farmers using traditional extension methods including lectures and printed pamphlets. However, this approach has limitations in terms of information originality, engagement, and reach. To improve farmers' access to agricultural knowledge and technology, the creation and deployment of a multimedia agricultural extension online portal at BPP Limbangan may be a good solution. Farmers will be able to access the most recent information, useful tips, video tutorials, and other agricultural resources online with the help of the website portal. An agricultural extension multimedia website portal can be created to offer a variety of content, including educational articles, films of farming practice demonstrations, details on managing pests and diseases, up-to-date agricultural technology, and advice on growing a farm business. The portal may also offer a discussion board where farmers may exchange stories, ask questions, and engage with agricultural extension agents. Farmers in the BPP Limbangan region should now have simpler and quicker access to agricultural knowledge and technology thanks to the availability of the agricultural extension multimedia online portal. It is anticipated that doing this will improve farmers' management abilities and knowledge, boosting output and quality of agricultural goods
Information Technology Strategy for Micro, Small, and Medium Enterprises in the Era of Industry 4.0 Leni Fitriani; Heru Nugroho
IJAIT (International Journal of Applied Information Technology) Vol 06 No 02 (November 2022)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v6i02.5975

Abstract

During the industrial revolution 4.0, business and industry competitiveness expanded. Because of circumstances like these, competition between firms or micro, small, and medium enterprises (MSMEs) is also increasing. To create and maintain a competitive advantage, a business must be able to dominate the market by enhancing its strategy. The ability of companies to expand market segments by introducing distribution channels and innovations by employing technical advancements is one of the company's development tactics. To identify potential and difficulties for further study, this article aims to evaluate information technology solutions for empowering Micro, Small, and Medium Enterprises. The Biblioshiny tool was used to conduct the literature review for this article. Results Scientific publications investigate opportunities and obstacles to determine the function that strategic information technology supports in the case study of Micro, Small, and Medium Enterprises.
A Review: Data Quality Problem in Predictive Analytics Heru Nugroho
IJAIT (International Journal of Applied Information Technology) Vol 7 No 02 (2023): Vol 07 No 02 (November 2023)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v7i02.5980

Abstract

As data size continues to grow, there has been a revolution in computational methods and statistics to process and analyze data into insight and knowledge. This change in the paradigm of analytical data from explicit to implicit raises the way to extract knowledge from data through a prospective approach to determine the value of new observations based on the structure of the relationship between input and output. Data preparation is a very important stage in predictive analytics. To run quality analytical data, data with good quality is needed in accordance with the criteria. Data quality plays an important role in strategic decision making and planning before the digital computer era. The main challenge faced is that raw data cannot be directly used for analysis. One problem that arises related to data quality is completeness. Missing data is one that often causes data to become incomplete. As a result, predictive analysis generated from these data becomes inaccurate. In this paper we will discuss the problems related to the quality of data in predictive analytics through a literature study from related research. In addition, challenges and directions that might occur in the predictive analytics domain with problems related to data quality will be presented.