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MODEL EKOSISTEM INOVASI UNIVERSITAS (STUDI KASUS DI BANDUNG TECHNO PARK) Sahara Syarifatul Choeriyah; Siska Noviaristanti
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 7 No. 2 (2021): JABM Vol. 7 No. 2, Mei 2021
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.7.2.451

Abstract

The establishment of a national innovation system is necessary to encourage innovation and socio-economic development. The most important thing in the innovation system is the collaboration of academic, business, community, and government in the innovation ecosystem. The purpose of this study is to determine the actors involved from each entity in the innovation ecosystem, the relationship between actors, and the impact of the relationship between actors. Through case study research method with the object of research at Bandung Techno Park at Telkom University, this study investigates the mutual relationship between entities. Value network analysis is then used to model the innovation ecosystem. This study uses a qualitative method with data collection through interviews with 14 speakers representing each entity. The research results obtained that not all entities have actors who involved in the innovation ecosystem. Some obstacles such as the quality of research, lack of researchers’ ability to see market conditions so that innovative products are considered not following the needs of consumers and industries in Indonesia that dominated by agricultural-based industries becomes a difficulty in commercializing technological innovation through licensing. This research shows that BTP’s role as Technology Transfer Officer still has shortcomings to align the results of research from academic with business needs. In addition, government regulation has not fully sided with domestic technological innovations to develop. Keywords: university, innovation ecosystem, value network analysis, qualitative method, techno park.
Supply Chain Management Implementation on Snacks Production Process Sahara Syarifatul Choeriyah; Eko Budi Setiawan
IJNMT (International Journal of New Media Technology) Vol 5 No 2 (2018): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2283.979 KB) | DOI: 10.31937/ijnmt.v5i2.840

Abstract

PQR’s company is a company that located in Citeureup Tasikmalaya. The company is engaged in the production of snacks such as mie lidi. The production strategy that used by this company is a make to stock. The company organizes activities from upstream to downstream. Activities that occur in the upstream is to procure raw materials to suppliers by purchasing department. However, some problem was found when the purchasing department has difficulty determining the amount of raw material for the procurement process. This is due to uncertain demand from distributors. While the activities in downstream is sending the product to distributor by shipping department. Some problem that occurs in the downstream were shipping department has difficulty to make schedule product shipments because there was a delay in the product delivery process. All problem occurs because there is no system that can manage supply chain information. So, the implementation of supply chain management by using the forecasting method of single moving average and calculation of sale limits of raw material and product inventory using safety stock method, it was expected to provide a solution to this problem.
Implementasi Algoritma k-Nearest Neighbor (k-NN) dalam Klasifikasi Status Gizi Balita Sahara Syarifatul Choeriyah; Riezan Syauqi Fanhas; Adittia Fathah; Haerul Pebriyansyah
Cipasung Techno Pesantren: Jurnal Ilmiah Vol 16 No 2 (2022): Cipasung Techno Pesantren: Scientific Journal
Publisher : LPPM Sekolah Tinggi Teknologi Cipasung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Toddlers are children under the age of 5 years or 0-60 months. This age is included in a group that is at high risk of disease. Nutritional status in toddlers is an important factor that must be considered because the development of toddlers is very important for their bodies which are still very vulnerable to the name malnutrition.The purpose of this study is to group the nutritional status of toddlers by utilizing the k-NN algorithm and knowing the level of accuracy. The method used in this research is quantitative using the k-NN algorithm. While the evaluation uses Confusion Matrix The results showed an AUC value of 85.1%. Based on these results, it can be concluded that the k-NN algorithm is well used for the classification of toddler nutrition in the future.