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This research addresses a paradoxical phenomenon in Lampung Province's Micro and Small Industry (MSI) sector (2018-2022), where high technology adoption is accompanied by declining business units and income inequality. The objective is to evaluate technical efficiency and productivity changes across 15 regencies/cities using the Variable Returns to Scale (VRS) Data Envelopment Analysis (DEA) model and the Malmquist Productivity Index (MPI). Results show an average technical efficiency of 0.838, indicating a 16.2% room for output improvement. Mesuji Regency serves as the benchmark with perfect efficiency. The main inefficiency stems from labor slack (averaging 3,458 people per region), reflecting disguised unemployment. The Malmquist index records an asymmetric productivity growth of 2.1% annually, entirely driven by technological progress (3.5%), while internal managerial efficiency contracted (-1.4%). Consequently, technology adoption requires structural intervention; regional governments must prioritize vocational training and basic managerial strengthening to reduce labor slack and break the MSI inefficiency cycle.

This community service aims to provide training on the use of the Joint Marketing Program (eJMP) application module to micro and small industry players in the  Surabaya city, so that marketing of MSI products can be carried out flexibly without being limited by space, place and time, so that marketing can reach a wider network and ensure the sustainability of MSI businesses in the future. This community service activity uses a qualitative descriptive approach by photographing the real conditions of marketing management of micro and small industries, then providing eJMP module training to 20 micro and small industry sector players as well as owners who are domiciled in the Surabaya city. The eJMP module training method is implemented through four stages, namely: (1) identifying the suitability of the eJMP module content to the marketing needs of MSI businesses, (2) determining the eJMP module training model with its marketing literacy priorities, (3) elaborating the eJMP content with MSI marketing literacy materials, and (4) implementing the eJMP module training for micro and small industry players. The results of this training indicate that micro and small industry players still experience difficulties in marketing MSI products, therefore optimizing the use of the eJMP application can help micro and small industry businesses to optimize marketing together, flexibly and effectively. This eJMP application module training includes material on the important role of joint marketing, optimizing the role of cooperatives, an introduction to the eJMP application and joint marketing simulations through the eJMP application. This training, which is carried out in a structured and systematic manner for micro and small industry players, is expected to be able to improve flexible and effective joint marketing and ensure the sustainability of MSI businesses in the future .

Palu Bay is located in Central Sulawesi Province and is one of the active seismic bays in Indonesia which is crossed by the Palu-Koro fault segmentation. On September 28, 2018, an earthquake disaster occurred in this area accompanied by a tsunami and liquefaction. Palu City, Sigi Regency and Donggala Regency are areas that are severely affected by this disaster. Research in this region is to determine the level of preparedness of Small and Medium Industries in facing natural disasters in the future. The population of SMEs is 745 businesses/people with a probability sampling technique, namely Proportional Random Sampling. The assessment was carried out through a questionnaire involving 260 SME samples randomly selected in the three regions. The results of the study illustrate that the total preparedness of SMEs in the Palu Bay Area in facing natural disasters is 34.9% of respondents stated as "less prepared" to face natural disasters, 58.3% "somewhat prepared" and only 6.8% stated as "ready" while no respondents were "very prepared" to face natural disasters. The lack of preparedness of SMEs requires attention from all stakeholders, especially the Government through its program to improve disaster resilience for the community, especially Small and Medium Industry (SME) actors in this Region.

Bonggolan Small Industry is one of the leading products of Sidayu District, Gresik Regency which still requires further product development. The purpose of this study is to determine the Leading Product Development Strategy of Small Industry Bonggolan Sidayu District, Gresik Regency to increase its competitiveness so that it is known by the wider community. This study used descriptive analysis method through the results of Observation and Interview. The data analysis used is a SWOT analysis carried out to analyze internal and external factors of entrepreneurs in industrial estates. The results of this study show that there are 4 strength factors, 4 weakness factors, 5 opportunity factors and 4 threat factors so that 8 strategies can be formulated in developing superior products of the Bonggolan Small Industry, Sidayu District, Gresik Regency so that it can compete with other products and be known by the wider community.