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Knowledge Retention Strategy for Dealing with Knowledge Loss at Bank Bisnis Headquarters Kiki, Kiki; Hidajat Tjakraatmadja, Jann
The Indonesian Journal of Business Administration Vol 5, No 3 (2016)
Publisher : The Indonesian Journal of Business Administration

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Abstract

Abstract. One of major challenges for organizations nowadays is the aging and shortening of experienced workforces. As experienced or senior staff retire, then critical knowledge and their experience will leaving the company and will be a threat to company unless that knowledge can be successfully retained and transferred to other existing workers which less experienced. Due to high turnover, the retention of valuable organizational knowledge from senior and experienced workers has been recognized as an urgent need. Due to high employee turnover rate in the last two years at Bank XYZ Headquarters, will increase the possibility of critical knowledge leaves the company. In 2015, headquarters recorded the turnover rate was 24.39%, increase almost 3 times from the previous year, and most of them are experienced and senior staff. The goal of this research is to deal with knowledge loss at Bank XYZ by formulating Knowledge Retention Strategy by using the suitable Knowledge Retention framework. By using the Analytic Hierarchy Process (AHP) of Prof. Thomas L. Saaty (2001), acquired knowledge retention framework suitable for this study, which is selected from three alternative models of knowledge retention. With the selected framework of knowledge retention from Deller and Burmeister, this research finding out first what critical knowledge that posses by employee in Bank XYZ Headquarters and how to retain them.4 factors which help to formulate the strategy are critical knowledge, individual characteristic, relationship characteristic, and contextual characteristic. Based on the result of this analysis, the company have so many critical knowledge that need to be retain. This caused by lack of monitoring about knowledge retention and too formal interaction among employees that less support the retention activities.The result of this research is Bank XYZ Headquarters will implement Knowledge Retention Strategy to prevent knowledge loss in the future. The implementation run through 3 kind of activities: skill development and training, informal activities, and exit management. Based on knowledge retention framework analysis, all the retention activities will exactly as needed by Bank XYZ Headquarters employee.
ANALISIS HUJAN LEBAT TANGGAL 27 SEPTEMBER 2017 DI DKI JAKARTA Kiki, Kiki; Wirahma, Samba
Jurnal Sains & Teknologi Modifikasi Cuaca Vol 18, No 2 (2017): December 2017
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1827.549 KB) | DOI: 10.29122/jstmc.v18i2.2569

Abstract

IntisariPada 27 September 2017 beberapa wilayah di DKI Jakarta dilanda hujan dengan intensitas lebat yang memicu genangan di beberapa wilayah. Wilayah DKI Jakarta pada bulan September masih dalam periode transisi dari musim kemarau menuju musim hujan, sehingga potensi kejadian hujan dengan intensitas ringan hingga lebat yang disertai kilat/petir dan angin kencang cukup tinggi, meski umumnya masih bersifat sporadis. Dengan menggunakan data reanalysis model diketahui bahwa pada saat kejadian terdapat anomali pola angin di lapisan 850 hPa dibandingkan dengan klimatologisnya, serta didentifikasi adanya anomali kelembapan udara di lapisan bawah hingga 500 hPa yang lebih basah dibandingkan dengan klimatologisnya. Pertumbuhan awan hujan tipe Nimbustratus yang optimal pada saat kejadian dipicu oleh daerah konvergensi yang terbentuk di wilayah Banten, DKI Jakarta, hingga Jawa Barat, serta kondisi atmosfer yang basah hingga di lapisan menengah.   AbstractOn September 27, 2017, several areas in DKI Jakarta were surge by heavy rain that triggered inundations in some areas. DKI Jakarta area in September is still in the transition period from the dry season to the rainy season, so the potential for the occurance of rain with mild to light intensity accompanied by thunder/lightning and strong winds is still quite high, although generally still sporadic. Using the reanalysis data model it is known that at the time of the event there was wind pattern anomaly in layer 850 hPa compared with its climatology, and also been identified an anomaly of air humidity in the lower layer of the atmosphere up to 500 hPa wetter than its climatology. The optimum growth of Nimbustratus cloud at the time of the incident was triggered by the convergence area formed in Banten, DKI Jakarta, and West Java, as well as the wet atmospheric conditions up to the middle layer.