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All Journal International Journal of Supply Chain Management Jurnal Mantik Jurnal Indonesia Sosial Teknologi
Sunjana, Sunjana
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Transportation

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Ensuring Supply Chain Sustainability from the Perspective of Environmental and Social Performance Roespinoedji, Roeshartono; Sunjana, Sunjana; Zainal Abidin, Irwan Shah; Chankoson, Thitinan
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.2993

Abstract

Indonesia has as of late received best maintainable business performs to profit organizations, atmosphere and partners. Consequently, this investigation shows ways to supportable SC triple main concern progress got from linkages of official burdens and authoritative personality (OI) to atmosphere and social supportable practices. It demonstrates that the superordinate objective of SSCM is met disregarding unwavering outer weights and alluring OI driving the explicit ecological and dependable social practices of firms. A review approach was received to assemble the information need for this examination. A sum of 203 finished polls were gotten from respondents, who were directors and senior officials in SCM in Malaysia. The information was investigated utilizing basic condition demonstrating with PLS-SEM rendition 3.0. Our discoveries demonstrated that all speculated connections are noteworthy aside from both process-and market-based social practices couldn't straightforwardly affect economic performance. This is in sharp complexity to ecological practices. Be that as it may, the critical connection between social practices with performance is a pathway for the previous to economic performance. Subsequently, the economic benefits got from social practices are rescued through its performance results. The epic and helpful effect of institutional weights on practices of SCM are likewise uncovered.
The effect of compensation and work environment on employee’s job satisfaction Tarmidi, Didi; Hendiarto, R Susanto; Sunjana, Sunjana
Jurnal Mantik Vol. 8 No. 1 (2024): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i1.5030

Abstract

This study aims to determine how the description of compensation, work environment, and employee job satisfaction, as well as to determine how compensation and work environment affect the job satisfaction of employees of XYZ Private Hospital. The factors tested in this study were compensation and the work environment as independent variables, while job satisfaction was a dependent variable. The research methods used in this study are descriptive and verification methods. The population in this study was employees at XYZ Private Hospital. The sampling technique used in this study is Purposive Sampling and the size of the samples in this study is calculated by slovin formula, so the total number is 93 respondents. The analysis methods used in this study are some linear regression analysis using SPSS25 for Windows. The results of this study showed that compensation and work environment have an effect on employee job satisfaction at XYZ Private Hospital. The amount of compensation and work environment influenced employee job satisfaction by 49.2%.
Clothing Product Recommendations Using the FP-Growth Algorithm in Siny.CO Stores Firmansyah, Duny Muhamad; Sunjana, Sunjana
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 7 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i7.1146

Abstract

In this modern era, there is so much competition in the business world, especially in the sales industry, that requires shop owners to find a strategy that can increase sales and marketing of the products they sell, one of which is by utilizing clothing sales transaction data using data mining. Data Mining is an iterative and interactive process to find new patterns or models that can be generalized for the future, useful and understandable in a very large database (massive database). In these conditions, good data processing techniques are needed, one of which is data mining techniques. One thing that can be used in this technique is to use the Association rule method using the FP-Growth algorithm, which is an algorithm that produces frequent itemsets which will later be used to determine recommendations for clothing products for the needs of the Siny.co Store. This research uses the RapidMiner Studio application to help process transaction data. This research method uses a minimum support of 20% and a minimum confidence of 80%, thereby creating 9 association rules, where these rules determine several products for recommendation at the Siny.Co Store, including Sashi, Canna, Alice, Tartan, Aruna, Cassandra, Nala, Lalita, and Acio.
Co-Authors Chankoson, Thitinan Firmansyah, Duny Muhamad Hendiarto, R Susanto Roespinoedji, Roeshartono Tarmidi, Didi Zainal Abidin, Irwan Shah