Romney dan Steinbart yang diterjemahkan oleh Fitrianasari dan Kwary
(2004:12) karakteristik informasi yang berkualitas sebagai berikut:
- Relevan
Informasi itu relevan jika mengurangi ketidakpastian, memperbaiki
kemampuan pengambil keputusan untuk membuat prediksi,
mengkonfirmasikan, atau memperbaiki ekspetasi mereka sebelumnya. - Andal
Informasi itu andal jika bebas dari kesalahan atau penyimpangan, dan
secara akurat mewakili kejadian atau aktivitas di organisasi. - Lengkap
Informasi itu lengkap jika tidak meninggalkan aspek-aspek penting dari
kejadian yang merupakan dasar masalah atau aktivitas-aktivitas yang
diukurnya. - Tepat waktu
Informasi itu tepat waktu jika diberikan pada saat yang tepat untuk
memungkinkan pengambil keputusan menggunakan dalam membuat
keputusan. - Dapat dipahami
Informasi dapat dipahami jika disajikan dalam bentuk yang dapat dipakai
dan jelas. - Dapat diverifikasi
Informasi dapat diverifikasi jika dua orang dengan pengetahuan yang baik,
bekerja secara independen dan masing-masing akan menghasilkan
informasi yang sama.
Menurut Mc. Leod & Schell (2007:46), sebagai berikut: - Accuracy
Ideally, all information should be accurate. However features that contribute
to system accuracy add to the of an information system. Because of this,users
are often forced to settle for less than 100% accuracy. Applications involving
money, such as payroll, billing, and accounts receivable, seek 100% accuracy.
Other applications, such as long-range economic forecast and statistical
reports, often can be just as useful when the data are less than 100% accurate. - Timeliness
Information should be available for decision making before crisis situation
develop or oppurtunities are lost. Users should be able to obtain information
that describes what is happening now, in addition to what has happened in the
past.information that arrives after a decision has been made is of no value. - Relevancy
Information has relevancy when it pertains to the problem at hand. The user
should be able to select the data that are needed without wading trough a
volume of unrelated facts. Only when data are relevant to the decision to be
made should it be called “information”. - Completeness
Users should be able to obtain information that presents a complete picture of
a particular problem or solution. However, systems should not drown users in
a sea of information. The term information overload suggest that harm can
come from having too much information. Users should be able to specify the
amount of detail that is needed. Information is complete when it has the correct
amount of aggregation and supports all areas of the decision being made.