MSMEs have an important role in sustaining the national economy as it contributes about 60 percent of GDP. On the other hand, however, the expansion of their business is considerably low. According to an economic survey by BPS in 2016, more than 63.72 percent of MSMEs had no plan to develop their business for various reasons. In addition, the Covid-19 pandemic has turned their business increasingly sluggish, because the demand for their product sales has decreased drastically. The purpose of this community service is to empower and strengthen the business management of MSME, particularly in the crafting industry i.e. Az Zahra Creation located in Surabaya. Specifically, the program focuses on the understanding of MSMEs mindsets and improving their capability in business and financial management. The methods carried out are identifying and mapping their problems through direct observation and interviews, formulating the solution using system thinking which is then actualized in mentoring and training programs. The results of the programs are renovating the workshop room, improving MSME partners’ knowledge and skills in planning, innovation of business model, managerial, and financial management. The impact of this program is expected to exemplify for other similar MSMEs, hence, the developed framework could be adopted by others to assist the business development.

Coronavirus disease (COVID-19) is a disease that disrupts the respiratory tract and infects many people. However, until now, there is still no cure. Therefore a robot service is proposed to minimize direct contact between nurses and patients who are equipped with PPE (Personal Protective Equipment). Robot Service is a robot carrying logistics for patients in the Isolation Room. The robot is expected to be able to help medical personnel work and reduce the risk of medical personnel being exposed to the virus while in the Isolation Room. This robot has a feature to rotate and move along the hospital hallway, using either automatic or normal mode. This robot is also equipped with an Omni infrared camera that can see the environmental conditions around the robot so that it can make it easier for operators to run this robot with a Wi-Fi communication system. With this robot, medical workers can deliver the needs of patients without having to meet face to face, so that the risk of being exposed to the virus can be reduced.

Abstract— The logistics business is expected to soar significantly, for which will reach 30 percent by 2020, driven by the growth of transaction of e-commerce. This growth, indeed, requires an apparent concern from the transporter logistics to continuously enhance their performance. On the other hand, the performance of logistics transporters will provide a positive contribution to the increase of LPI (Logistics Performance Index) score of Indonesia. Thus, the development of performance measurement systems is necessary to maintain the competitiveness level of logistic actors. This study provides a comprehensive overview of performance measurement systems in regard to the 3PL (third party logistics) companies. The goal of this study is to develop such a conceptual framework that portrays the essential elements necessary to take into account when implementing performance monitoring system to the 3PL companies. The conceptual framework is established using grounded-theory approach which comprises of four main steps: collecting and mapping data sources, categorizing the data, identifying and naming concepts, and establishing a conceptual model. The framework itself, is constructed into two main stages: 1) developing KPIs, 2) measuring the performance. To exhibit the applicability of the proposed approach, a numerical experiment is provided. This research has two main contributions. First, the study fills the theoretical gap pertaining to the concept of performance assessment systems in case of 3PL companies. Second, in practical view the proposed conceptual framework contributes to the academia by describing the basis of establishing performance monitoring as well as to the practitioners who wish to better measure performance in the transporter logistics.

Waste has been always considered a notable issue in urban dwelling. The number of wastes produced by urban citizens grows ever larger including in the big cities in Indonesia. Surabaya can produce a big amount of waste around 9.896 metric cubic each day by which it is higher compare to Jakarta. Owing to the people’s habit of waste treatment, yet the implementation of 3R (Reduce, Reuse, Recycle) concepts is still far from the expectation. Moreover, waste selection and sorting are yet not performed properly at the lowest level. This study aims to propose a conceptual design of a smart waste bin that connected through the IoT systems. Thus, it can be monitored remotely and may assist the truck to pick up the fully loaded waste bin. The study employs a qualitative approach to build the conceptual model of which divided into three steps: 1) collecting and categorizing the data, 2) indentifiying concepts, 3) establishing the concept model. A case study of Surabaya district is provided to show the practical usage of the proposed framework. Herein, the map of Surabaya is divided spatially into 31 districts and the data of waste, which is generated randomly, then projected into the corresponding district. The proposed concept appears to be useful as a basis of waste management systems and has flexibility for which it would provide a significant implication for those cities that implementing a smart city project. As a preliminary study, this research possesses a limitation to the fact that there is no evidence of the versatility and the verification of the concept. This study offers a conceptual design of a smart waste bin that can be deployed in the urban city. By means of spatial analysis, policymakers possess an extensive point of view in accordance with environmental trends that are not readily apparent in raw data.

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