Evaluasi Efektivitas Sistem Informasi Manajemen dan Akuntansi Barang Milik Negara ( Simak-bmn ) di Departemen Kebudayaan dan Pariwisata Republik Indonesia

The Government obligate to secure BMN. The security include physical security, administrative, and legal secure. In order to secure the necessary administrative administration system that can create a control (controlling) on BMN. Thus the necessary tools in the form of system that can simplify the administration and control of BMN. Management Information Systems and Accounting State Assets (SIMAK-BMN) was organized with the aim to produce the necessary information as a tool of accountability for the implementation of the budget and management / control BMN controlled by an accounting unit of goods. But until now has not carried out an evaluation of the level of keefektivitas SIMAK-BMN especially in the Ministry of Culture and Tourism. Therefore conducted a study to determine the factors that influence the effectiveness of SIMAK-BMN. So this study can be useful for applications maker SIMAK-BMN in knowing what the important factors that must be considered to improve the effectiveness of SIMAK-BMN which have been implemented. The result is that the factors that influence the effectiveness of SIMAK-BMN are Facility, Usability and Quality Systems. Without the factors above, it is very unlikely that SIMAK-BMN can operate effectively

Risk Assessment for Logistics Applications in Cloud Migration

The increase in the number of cloud data centers is due to an increase in the number of companies migrating to cloud computing. There are many advantages that companies get when migrating to the cloud, but there are also many disadvantages. Multitenancy security and privacy are important challenges for cloud migration users. This study proposes a way to assess the risks that may arise in the cloud migration process for logistics business applications. The research method used is semi-quantitative with a 3-phase approach, namely before migration, during migration, and after migration by considering the criteria for risk aspects and environmental aspects that will have an impact on the company, so that companies can make risk mitigation plans. The results of this study identified 11 (eleven) threats in the cloud that occupy the top ranking and identify as many as 17 (seventeen) indicators obtained from the identification of indicators in the previous model or framework used to assess risks in logistics business applications that will be implemented. migrated to the cloud. Based on the experimental results in this study, the application risk value during migration and after migration has a higher value than before migration, and the risk value during migration are higher than the risk value after migration

Machine learning in drug supply chain management during disease outbreaks: a systematic review

The drug supply chain is inherently complex. The challenge is not only the number of stakeholders and the supply chain from producers to users but also production and demand gaps. Downstream, drug demand is related to the type of disease outbreak. This study identifies the correlation between drug supply chain management and the use of predictive parameters in research on the spread of disease, especially with machine learning methods in the last five years. Using the Publish or Perish 8 application, there are 71 articles that meet the inclusion criteria and keyword search requirements according to Kitchenham's systematic review methodology. The findings can be grouped into three broad groupings of disease outbreaks, each of which uses machine learning algorithms to predict the spread of disease outbreaks. The use of parameters for prediction with machine learning has a correlation with drug supply management in the coronavirus disease case. The area of drug supply risk management has not been heavily involved in the prediction of disease outbreaks

Hospital Efficiency in Indonesia with Frontier Analysis

Hospitals are health care institutions for people who provide individual health services. Health services in hospitals are provided for inpatients, outpatients, and emergency unit patient. Facilities in the hospital are also provided for the fulfillment of health services for all patients. However, currently, there are still many doctors who are unbalanced in getting patients. For example, in a hospital, there is a doctor who is a favorite of patients, so they have a large queue of patients. However, on the other hand, some doctors are not favorites so that almost no patients come. This makes the hospital inefficient in terms of labor and time. This study discusses the efficiency of existing resources in hospitals which includes input variables (beds, general practitioners, specialist doctors, nurses, pharmacists, medical technicians, health workers, non-health workers, building area) and output variables (inpatient, outpatient, and patient emergency unit). The method used in this study is Stochastic Frontier Analysis using Frontier 4.1 software. The results indicated that more than 50% of the hospitals are below the efficiency average. This happens for the three types of output.   Keywords: efficiency, frontier, inpatient, outpatient, emergency unit patien