B Mustafa
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Memenuhi Harapan Pengguna tentang Layanan Prima Perpustakaan Melalui Penerapan SOP (Standard Operation Procedure)

Jurnal Pustakawan Indonesia Vol 7, No 1 (2007): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

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Abstract

Diuraikan tentang fungsi SOP (Standard Operation Procedure) di perpustakaandalam rangka meningkatkan mutu layanan perpustakaan. Dengan adanya SOP,maka standar mutu layanan yang akan dihasilkan oleh suatu pekerjaan dapat diukursebelumnya. Demikian juga mutu layanan yang diharapkan diberikan kepadapengguna dapat ditentukan. Dengan SOP, maka staf perpustakaan akan mudahmelaksanakan pekerjaannya, karena ada pedoman yang diikuti. Kontrol terhadappekerjaan dapat dilakukan dengan mudah berkat adanya SOP. Teknik membuat SOPdijelaskan secara ringkas. Dibahas beberapa trik yang dilakukan perpustakaanuntuk mendongkrak peningkatan mutu layanan perpustakaan. Selain itu diuraikancontoh format SOP baik tercetak maupun format digital interaktif.

Desain Konseptual Personalisasi Pencarian Pada Perpustakaan Online: Kasus Perpustakaan Pusat IPB

Jurnal Pustakawan Indonesia Vol 6, No 1 (2006): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Show Abstract | Original Source | Check in Google Scholar | Full PDF (141.798 KB)

Abstract

Current IPB Center Library search engine has been developed to serve all users, independent of the special needs of any individual user. Personalized search is to carry out retrieval for each user incorporating his/her interest. This research propose a novel technique to learn user profile from user lending history to represent long-term interest and user search history to represent short-term interest. The user profiles are then used to improve retrieval effectiveness in online search. A general profile are learned from a category hierarchy. These two profiles are combined to map a user query into a set of categories which represent the user’s search intention and serve as context to disambiguate the words in the user’s query. Online search is conducted based on both the user query and the set of categories. Several profile learning and category mapping algorithms and a merging algorithm are evaluated. Experimental results indicate that this technique to personalize search is effective.