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This paper aims to discuss the emergence of science, technology and innovation (STI) institutions in Indonesia during the Dutch East Indies colonial period in 1778–1941. The emergence of these institutions reflected the dynamics of science and technology development and innovation in that era.

This paper navigates a historiographical approach. Data collection techniques use “secondary data research,” with archival investigation published by official sources in the Dutch East Indies in the 18th and 19th centuries as well as other reference sources, and data analysis techniques use “supplementary analysis.”

This research indicates that the STI institution during the Dutch East Indies colonial period was formed to maximize the natural resources of the Dutch East Indies. The STI institution at that time was constructed as part of Buitenzorg’s Plantentuin the lands, plantations, solutions for health, astronomy, geology, forestry and culture.

The limitations of this research, as well as future research. Relying too much on “secondary data” is a limitation of this study. Therefore, it is necessary to collect primary data through in-depth interviews with historical scientists studying STIs in Indonesia in future research.

This study, to the best of the authors’ knowledge, considered the first study, reveals the dynamics of STI in Indonesia during the Dutch East Indies colonial era by examining the dynamics of the institution. In addition, this study succeeded in dividing five institutional STI clusters in the Dutch East Indies Colonial period 1778–1941, namely, units/institutions formed as part of Planuntungin te Buitenzorg; units/institutions formed based on plantations, initiated by private plantations to find solutions to the pests and diseases that attack their crops; units/institutions formed to seek solutions in the health sector; units/institutions formed based on astronomy, geology and forestry; and units/ institutions regarded as scientific councils/associations.

This paper aims to identify the strengths of the universities based on the research area which are prioritized by the Government of Indonesia in the National Medium Term Development Plan 2015–2019, in the research areas of food and agriculture; energy, new and renewable energy; health and medicine; transportation; telecommunication, information and communication; defense and security technologies and advanced materials.

The mapping of the research strength in Indonesian universities is performed by using data of the university research output in the Information System for Research and Community Service, Ministry of Research, Technology and Higher Education and categorized into seven categories, i.e. accredited national journals, international journals indexed by Scopus or others, Intellectual Property ownership, textbooks, prototypes and an appropriate technology. Based on the data obtained from Information System for Research and Community Service, there are 904 universities in Indonesia conducting research activities and generating 14,188 research outputs.

This paper analyzes 3 of the 9 National Research Priorities, namely, food, energy and health and medicine. The data show that there are 904 universities in Indonesia conducting research activities and producing 14,188 research results. The research strength index based on National Research Priorities shows that three universities have the highest cluster strength index. Gadjah Mada with an index value of 4.95 is the highest index in the food cluster. In the energy cluster of the Institut Teknologi Bandung with the highest index value of 0.63. Meanwhile, the Universitas Indonesia reached 2.06 as the highest index value in the health and medicine cluster.

Measurement of the strength of the study was conducted using data from research results from universities in 2016 which were recorded in the Information System for Research and Community Service. The University’s R&D strength is calculated from seven categories of research results: accredited national journals, international journals indexed by Scopus or others, intellectual property rights, textbooks, prototypes and appropriate technology products.

The purpose of this paper is to develop a forecasting model for retailers based on customer segmentation, to improve performance of inventory.

The research makes an attempt to capture the knowledge of segmenting the customers based on various attributes as an input to the demand forecasting in a retail store. The paper suggests a data mining model which has been used for forecasting of demand. The proposed model has been applied for forecasting demands of eight SKUs for grocery items in a supermarket. Based on the proposed forecasting model, the inventory performance has been studied with simulation.

The proposed forecasting model with the inventory replenishment system results in the reduction of inventory level and increase in customer service level. Hence, the proposed model in the paper results in improved performance of inventory.

Retailers can make use of the proposed model for demand forecasting of various items to improve the inventory performance and profitability of operations.

With the advent of data mining systems which have given rise to the use of business intelligence in various domains, the current paper addresses one of the most pressing issues in retail management, as demand forecasting with minimum error is the key to success in inventory and supply chain management. The proposed forecasting model with the inventory replenishment system results in the reduction of inventory level and increase in customer service level. The proposed model outperforms other widely used existing models.