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All Journal International Journal of Electrical and Computer Engineering JURNAL SISTEM INFORMASI BISNIS Journal The Winners Al-Iqtishad : Jurnal Ilmu Ekonomi Syariah (Journal of Islamic Economics) ELINVO (Electronics, Informatics, and Vocational Education) Li Falah: Jurnal Studi Ekonomi dan Bisnis Islam Indonesian Food Science and TechnologyJournal Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Supply Chain Management
Ferry Jie, Ferry
Business IT & Logistics Unit MRIT University, Melbourne
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Transportation

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Penerapan Green Supply Chain Management Untuk Peningkatan Kinerja Keuangan Perusahaan Puryono, Daniel Alfa; Mustafid, Mustafid; Jie, Ferry
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1050.106 KB) | DOI: 10.21456/vol6iss2pp154-163

Abstract

In this research the assessment of the processes green supply chain management for corporate financial performance improvement. This research was based on the company goal to achieve profit by lowering the risk and environmental impact while improving the ecological efficiency by implementing green supply chain management in order to improve the company's financial performance.The method used in this research is a Green Supply Chain Management (GSCM). The management process of the company was done with by giving weight to the indicators of the green supply chain and measuring supply chain performance by using AHP method. Then compared with the acquired real weight of the Green SCOR model. While to measuring the financial performance of the company to know the position of the company by using ROA and EVA calculation that exist in the methods of Du Pont Ratio Analysis.The results of this research is a decision system information which is capable of linking green supply chain performance with the company's financial performance. The results of the analysis indicated that the supplying, making, delivering and returning are very sustainable. The assessment result shows 87.3% of companies have increased the company's financial and 12.7% companies’ efficiency. This information system can be developed to assist the manager in the company's decision-making started from the sustainable design.  This research method can be developed to assess the extent of each indicator of the supply chain performance related to the financial strategies.
Penerapan ANP-TOPSIS untuk Pengukuran Kinerja Human ResourcesProcurement Section Kaluku, Moh Ramdhan Arif; Jie, Ferry
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.795 KB) | DOI: 10.21456/vol5iss2pp119-127

Abstract

One practice is important in a company's performance is in the process of procurement. Performance of human resources in a company shows a measure of the quality of work and is used as a measure to observe the performance levels of employees in a company. The level of underperformance will have an impact on the quality of jobs that will be performed that could have a serious impact on the company. It is necessary to develop a human resources performance measurement using ANP method and TOPSIS, the procurement section of the company. This study aims to assist in the decision making process and seek alternative solutions to address the issues in order to measure the level of performance of each employee. In this study, the method used to obtain the ANP normal weight that will be used for calculations on TOPSIS method. The input parameters in the weighting process ANP is also very affecting for ranking process to be performed on TOPSIS. The input parameter is the ratio of any existing KPI indicators on procurement section. The results showed that the proposed method can be used to build a predictive performance measurement on procurement human resources section. From the research the highest performance values obtained on procurement section is 0.6936 while the lowest value was 0.3584.  
Co-Authors Akpolat, Hasan Caroline Chan, Caroline Daniel Alfa Puryono Eka Suswaini Fauzi, Irza Nur Harisah, Harisah Indriyani Indriyani Irish, James Juwanda, Farikhin Kaliani Sundram, Veera Pandiyan Kevin Parton, Kevin Khairman, Muhammad Mochammad Agung Wibowo Moh Ramdhan Arif Kaluku Muhammad Nadratuzzaman Hosen Mustafid Mustafid Nuryake Fajaryati Rinaldi Rinaldi Rod Cox, Rod Serli Wijaya Sharma, Deepak Stanley Utomo Lesmono Sulaiman, Zubaidi Surhaini Surhaini, Surhaini Suseno, Rahayu Syafaat Muhari Thomas Santoso Wazzan, Huda Yuwana, Rahmat Ageng Zulfakar, Mohd Hafiz