Copyright © Siti Rohajawati, Habibullah Akbar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Engineering & Technology, 10 (2) (2021) 134-138 International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET Research paper Assessing readiness for knowledge management implementation in mental hospitals, Indonesia Siti Rohajawati 1 *, Habibullah Akbar 2 1 Information Systems, Bakrie University, Jakarta 12920, Indonesia 2 Computer Science, Universitas Esa Unggul, Jakarta, Indonesia *Corresponding author E-mail: siti.rohajawati@bakrie.ac.id Abstract For Southeast Asia’s largest population, the prevalence of the emotional disorder has increased from 6% in 2013 up to 9.8% in 2018. Aligned with the e-government program, Knowledge Management (KM) offers an easier, faster, and transparent mental health services. However, the implementation relies on various factors. We conducted a workshop at 7 (seven) mental hospitals. The questionnaires were used to identify the factors that consist of awareness & commitment, strategy, culture, structure, people, and information technology (IT). We examine the hypothesis factors of the relationship by employing the statistical analyses of correlation. This study provides at testing the relationship between factors of people, process, and technology, for KM implementation in Indonesian mental hospitals. The results of the study confirm that the relationship between Process to Technology and People has a positive effect on significance. Meanwhile, the adop-tion of the existing technical facilities have not significant support for the needs of the KM. To sum up, the study suggests further improve-ment of leadership and systems in order to serve the best of mental healthcare. Keywords: Knowledge Management; Kendall’s Coefficient; Factors Readiness; Mental Hospital. 1. Introduction The life expectancy in Indonesia has improved from 63 years old in 1990 to around 70 in 2012 (until recently). This achievement is probably relating to other improvements in cases such as infant mortality rate and under-five mortality rates which are perhaps due to the economic growth that enables Indonesia to move the ladder into a middle-income country. Indeed, there are numerous health indicators that have better progress on one hand but less on the other hand. One of the most important health indicators is a mental disorder. The number of people (productive age) that experience mental disorder increases from 6% in 2013 to 9.8% in 2018 [1]. This is due to the increasing rate of the working-age population that contributes to the difficulty for the productive age people to pursue jobs for life. At the same, economic growth also has been stagnant around 5% in recent years. This situation is getting worse as the disparity between large cities and poorer areas have increased. The rise of mental disorder numbers seems to be related to the socio-economic factor and the pressure of rapid digital revolution that emphasizes heavily on the machine while neglecting to emotional and spiritual aspects of humans. As a result, the mental disorder may lead to internal depression, suicide, or even external outrage, violence, and abuse. At large, this may impair the society at large. The government has developed public health facilities down to village clinics (such as ‘Posyandu’), district, provincial, and up to central- level hospitals. However, there are remaining issues such as poor-quality infrastructures, lack of staff, and disintegration of management and financing that lead to the increasing investment by private sectors that are more difficult to maintain. The previous strategic decision to decentralize power has encouraged local flexibilities and innovation while introducing another challenge: silo culture between emerging applications, health centers, and strategic alignment between the central government and its provincial and district governments. Recently, the Ministry of Health Indonesia launch ‘Satu Data Kesehatan’, an application that aimed to combine different kinds of health data such as diseases, health facilities, human resource health personnel, and budgeting. This initiation is aligned with the electronic gov- ernment system which is a good indicator for developed countries. However, building an integrated system within a highly complex system is more on the social process with an incremental process [2]. Despite progress to integrate health data into the application, the mental health problem has not been receiving proper attention from the government. The mental health ecosystem and other health-related bodies such as HIV, drugs and general health has their own characteristics but may overlap and intertwined as well. It is compulsory for the mental health ecosystem to identify its own critical success factors for interoperability purposes with the national one data policy and plan. For achieving this purpose, we believe that mental health hospitals in Indonesian need to adopt KM to improve their ability to serve and mitigate mental health-related problems that are increasing in recent years and may take a toll in the future. KM in the mental health context aims to acquire, store, manage, process, and finally share relevant and important knowledge and information in order to promote mental health in addition to preventive and curative approaches. Especially in the rapid industrial revolution that is emerging in Indonesia, major challenges in mental health may occur due to social media, digital entertainment, and possibly unemployment as a lack of projection digital