scholarly journals Analysis of Policy Evaluation and Model of ASN Management Improvement in terms of Planning, Recruitment, and Competency Development Aspects

2020 ◽  
Vol 2 (4) ◽  
pp. 404-418
Author(s):  
Robby Kurniawan ◽  
Aries Djaenuri ◽  
Hadi Prabowo ◽  
Sampara Lukman

This study aims to analyze the evaluation of ASN management policies at the Ministry of Transportation and the provincial government of DKI Jakarta and the appropriate model for improving ASN management in planning, recruitment, and potential development. The approach used in this study is to use action research-based Soft Systems Methodology (SSM) as a research method with systems thinking approach. This research method's selection was carried out considering that ASN management is a Human Activity System with various problems involving many agencies. There are multiple laws and regulations used. The results showed that the evaluation analysis from the planning aspect showed that the policies, their formulation, and their dissemination had been carried out well; The recruitment aspect indicates that there is still something that needs to be addressed, especially in the recruitment of CPNS, PPPK, and open selection of positions; Aspects of competency development receive greater attention, especially in terms of improving performance, cost efficiency and achieving organizational goals. This study also develops concepts to improve ASN management in the form of a framework that includes: foundational theories, foundational theory & empirical facts as fundamental to formulate research interest, and research contributions.

2020 ◽  
pp. 1-20
Author(s):  
Mohammad Mehrabioun ◽  
Bibi Malihe Mahdizadeh

BACKGROUND: Customer retention and management of customer churn are deemed as among the most significant issues for businesses. Given the fact that customer churn is not typically predictable easily, identifying and analyzing customer churn is necessary for businesses. OBJECTIVE: Therefore, the current research was conducted to employ a complementary approach to identify the reasons influencing customer churn. METHODS: To do so, initially, customers’ data were clustered by recruiting the K-means method. Each cluster represented customers who held similar values and the probability of churn behavior. In the next step, stakeholder groups are identified based on the K- means algorithm. Then, Soft Systems Methodology (SSM) was employed to encapsulate each of the identified interested groups’ world-view to better understand logical reasons for churned customers. Purposeful activity modeling (human activity system) was adopted for each interested group utilizing SSM techniques. RESULTS: Using SSM techniques, purposeful activity modeling (human activity system) for each interested group adopted. Utilizing human activity systems for structuring debate sessions about change actions, short-term and long-term plans have been proposed to maintain and improve customer retention programs. CONCLUSIONS: SSM can be considered as an overarching approach that can afford a better understanding of the processes derived from data mining.


Author(s):  
Robby Kurniawan ◽  
Aries Djaenuri ◽  
Hadi Prabowo ◽  
Sampara Lukman

This study aims to evaluate ASN management policies at the Ministry of Transportation in terms of planning, recruitment and potential development. The approach used in this study is to use action research-based Soft Systems Methodology (SSM) as a research method with a systems thinking approach. The selection of this research method was carried out considering that ASN management is a Human Activity System with various problems involving many agencies and there are various laws and regulations that are used. The results of the study found a problematic situation in ASN management policies in the aspects of planning, recruitment, and competency development. Management evaluation uses 7 dimensions and indicators which include: policy, its formulation, and dissemination, social, political and economic context, leadership for policy implementation, stakeholder involvement in policy implementation, planning implementation and resource mobilization, operations and services, and feedback on progress and results.


2021 ◽  
Vol 5 (4) ◽  
pp. 1126-1135
Author(s):  
M Barusman ◽  
◽  
Indriati Gultom ◽  
Ahmad Cucus ◽  
Appin Redaputri

Agriculture in Lampung Province is the sector that contributes the most to the provincial GRDP. But the welfare of farmers is still very low. This can happen because there is no guarantee of agricultural products, low agricultural production, low agricultural production due to several things such as land that is tired, agricultural production facilities (fertilizers, seeds, and drugs) that are not available and are not qualified, lack of agricultural technology that is support and lack of capital. The purpose of this study is to develop a model of the Kartu Petani Berjaya (KPB) system both in terms of its institutional model and physical form. This research uses the Soft Systems Methodology (SSM) approach. Data was collected through literature studies and the implementation of Focus Group Discussions (FGD) with resource persons. The speakers in this study were representatives of academics, practitioners and observers from Lampung Agriculture. The results of this study are the Institutional Model of Kartu Petani Berjaya (KPB) is a model that describes the relationship between elements associated with the work of the Kartu Petani Berjaya (KPB) program. The institutions involved are the Lampung Provincial Government, Agricultural Production Facility Suppliers (Saprotan) and Technology, Regional-Owned Enterprises that are involved as Manager Kartu Petani Berjaya (KPB), Buyers / Market, Banking, Inter-Village Owned Enterprises (BUMADES) / Village-Owned Enterprises (BUMDES) / Cooperatives / Farmers-Owned Enterprises (BUMP) / Joint Farmers Groups (Gapoktan) and Farmers. The Berjaya Farmers Card aims to improve the welfare of Farmers, through providing certainty for the availability of capital, providing certainty for the availability of agricultural production facilities (fertilizers, seeds and medicines), fostering farm management, post-harvest handling, guaranteeing the selling price and ensuring the absorption of agricultural production.


This chapter seeks to explain possible uses of the soft systems methodology (SSM) for project management (PM) when uncertain and sometimes conflicting aims are being pursued. To this end, two topics were considered: (1) application of SSM for funds allocation planning among major development projects and (2) feasibility of industrial projects considering their compliance with principles of sustainable development. The focus of the SSM is on the so-called human activity system (HAS), synergizing all stakeholders towards a single goal. PM, on the other hand, not only deals with the HAS, but also manages organization-wide initiatives participated by a wide variety of stakeholders. In this respect, SSM can contribute to better implementation of the PM initiatives, thereby enhancing the obtained gains.


2020 ◽  
Vol 10 (1) ◽  
pp. 86-99
Author(s):  
Lewis Tsuro ◽  
Stan Hardman

The Soft Systems Methodology (SSM) was developed as a set of tools for identifying and making incremental steps to improve situations with poorly defined causes or solutions. The supply chain forms a key process of any construction project; however, on any given construction site, supply chain inefficiencies could arise from many different avenues. Opinions vary, though, on which of these avenues is more important for increasing supply chain efficiencies; whether any problem even exist across the different aspects of the supply chain; as well as what steps should be taken to resolve them. It was therefore studied, here, whether SSM could be employed as a useful tool to systematically apply in the supply chains of a construction project in South Africa, for understanding and targeting the problematic situations that arise. Following thorough cyclical open-ended interviews with 17 workers, supervisors, foremen, site clerks, senior managers, and the CEO of the principal contractor at a new office park construction project in Rosebank, Johannesburg, and a thematic analysis of the data, SSM was performed to understand the existing challenges, and develop a suitable model for improvement. The study found that SSM was a good tool for understanding the ‘messy’ circumstances surrounding the chosen construction project supply chain, as well as actions that could be taken to improve the supply chain’s efficiency on site. The findings add weight to the argument that SSM could be a good tool for project managers to systematically introduce into their project planning regimens


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