Search Results (9)

In Indonesia, school feeding programs have not been established nationally due to the government’s limited budget. To examine the possibility of copayment for school feeding programs, parents’ intentions to use the school feeding programs and their willingness to pay (WTP) for these programs should be considered. We conducted an online questionnaire survey among the parents of junior high school students in all five public junior high schools in the Kepanjen District of Malang Regency, East Java Province, Indonesia. We used the contingent valuation method to elicit parents’ WTP for school feeding and calculated the price elasticity of school feeding. Factors associated with the WTP were examined using logistic regression analysis. Of the 940 participants, 90% intended to use school feeding programs, and 30% were willing to pay Rp 15,000 (USD 1.05) or higher per meal. Of the 944 students (participants’ children), all but two students consumed meals or snacks at school, with 74% consuming foods three or more times daily. Higher WTP for school feeding was associated with frequent food consumption at school, higher income, and a better perception of meals at school. In contrast, lower WTP was associated with more household members. Most parents intended to use school feeding programs with certain WTP irrespective of the price of school feeding. Therefore, school feeding in Indonesia might be expanded through copayment. Full article

Developing the economic welfare of smallholder dairy farmers is an important strategy for achieving the Sustainable Development Goals (SDGs) in regions such as Pujon District, a major dairy producer in the Malang Regency. Enhancing the economic stability of these farmers contributes to community welfare and promotes aspects of the SDGs such as “Good Health and Well-Being” and “No Poverty”. This study delves into the relationships among five types of capital—human, social, natural, physical, and financial—and their influence on the welfare of dairy farmers in Pujon District. A questionnaire was distributed to 110 respondents in January and February 2022 for the purpose of this research. After the data were collected, Smart-PLS was used to analyze the structural-equation model (SEM). According to the findings, these five types of capital have a significant and positive impact on the welfare of farmers. As a result, these five capitals provide a tangible framework for enhancing and measuring farmer welfare in Pujon District, thus providing a strategic path for optimizing community resources to boost economic welfare and contribute to the Sustainable Development Goals. The study findings provide valuable insights into the strategies that can be adopted to promote sustainable agriculture and enhance the well-being of farmers in Pujon District. Full article

The continuous loss of farmland in Indonesia is a major problem in the food production industry. The Gempol-Pandaan road, which is a section of the Trans Java toll road and connects the major cities of Surabaya and Malang, gives the Pandaan District of Indonesia its strategic location. Sustainable Food Agriculture Land (SFAL) in the Pandaan District is one strategy for expanding wetland farming. Therefore, this research aims to analyze the connection between social capital and landowners’ intention to alter SFAL in Pandaan District, Pasuruan Regency, hoping to resolve existing land-use conflicts. The purpose of this study was to use partial least square structural equation modeling (PLS-SEM) to the question of how landowners’ social capital is related to their intention to change land use. The PLS-SEM analysis shows that there are less opportunities for SFAL landowners to shift land use when social capital is high. Conversely, greater intentions among SFAL landowners to convert agricultural land to nonagricultural uses are associated with weaker or lower relationships among social capital characteristics. Full article

One hundred seventeen landslides occurred in Malang Regency throughout 2021, triggering the need for practical hazard assessments to strengthen the disaster mitigation process. In terms of providing a solution for investigating the location of landslides more precisely, this research aims to compare machine learning algorithms to produce an accurate landslide susceptibility model. This research applies three machine learning algorithms composed of RF (random forest), NB (naïve Bayes), and KNN (k-nearest neighbor) and 12 conditioning factors. The conditioning factors consist of slope, elevation, aspect, NDVI, geological type, soil type, distance from the fault, distance from the river, river density, TWI, land cover, and annual rainfall. This research performs seven models over three ratios between the training and testing dataset encompassing 50:50, 60:40, and 70:30 for KNN and NB algorithms and 70:30 for the RF algorithm. This research measures the performance of each model using eight parameters (ROC, AUC, ACC, SN, SP, BA, GM, CK, and MCC). The results indicate that RF 70:30 generates the best performance, witnessed by the evaluation parameters ACC (0.884), SN (0.765), GM (0.863), BA (0.857), CK (0.749), MCC (0.876), and AUC (0.943). Overall, seven models have reasonably good accuracy, ranging between 0.806 and 0.884. Furthermore, based on the best model, the study area is dominated by high susceptibility with an area coverage of 51%, which occurs in the areas with high slopes. This research is expected to improve the quality of landslide susceptibility maps in the study area as a foundation for mitigation planning. Furthermore, it can provide recommendations for further research in splitting ratio scenarios between training and testing data. Full article

Pujon Kidul Village, Pujon District, Malang Regency, is an area with tourism potential that has been developed since 2017 with the concept of agricultural tourism. Throughout the development of tourism villages, Pujon Kidul Village has succeeded in accelerating economic growth and providing jobs for the community. However, during the COVID-19 pandemic, tourism villages have been severely affected, leading to the temporary closure of tourist attractions and community businesses. This research aimed to identify what indicators form social capital variables and the relationship between social capital variables and community adaptation patterns in dealing with pandemics in the study location. This was quantitative research with confirmatory factor analysis to determine the indicators of forming social capital and structural equation modeling analysis to determine the relationship between the variables. Based on the findings, it is known that trust in forming a social network is 0.468. Furthermore, the social network forms community actions of 0.046 and influences community resilience by 0.007. Therefore, good social capital will make it easier for the community to participate in collective action as a form of caring for each other during the pandemic. This action also influences the community to survive in a pandemic crisis, thus creating an adaptation pattern for the Pujon Kidul Tourism Village community in facing a pandemic. Full article

The Indonesian state forest managers have accepted farmer-managed coffee agroforestry in their estates as part of their social forestry program. Access by local farming communities to state-owned plantation forestry supports public motivation to maintain forest cover. However, balancing the expectations and needs of forest managers with those of the local farming communities is not easy. Coffee yields in Indonesia are lower than those of neighboring countries, suggesting that there is scope for improvement. Here we describe an experimental research platform developed through an international collaboration between the Universitas Brawijaya (UB), the UK Centre for Ecology and Hydrology (UKCEH), and smallholder coffee farmers to explore options for improving pine-coffee agroforestry systems within existing regulations. Located in a former state-owned pine production forest on the slopes of the stratovolcano, Mount Arjuna, in the Malang Regency of East Java, the research platform has seven instrumented research plots (40 × 60 m²), where agronomic practices can be trialed. The aim of the platform is to support the development of sustainable agronomic practices to improve the profitability of coffee agroforestry and thus the livelihood of low-income rural communities. Current trials are focused on improving coffee yields and include pine canopy trimming, fertilizers, and coffee pruning trials, with links to the development of socio-economic and environmental models. Whilst it is too early to assess the full impacts on yields, a survey of farmers demonstrated a positive attitude to canopy pruning, although with some concern over labor cost. The initial ecosystem modelling has highlighted the benefits of coffee agroforestry in balancing environmental and economic benefits. Here we provide a detailed description of the site, the current trials, and the modelling work, with the hope of highlighting opportunities for future collaboration and innovation. Full article

There has been an increasing trend of land area being brought under human’s use over time. This situation has led the community to carry out land-use development activities in landslide hazard-prone areas. The use of land can have a positive impact by increasing economic conditions, but it can have negative impacts on the environment. Therefore, this study aimed to identify the landslide hazard, focusing on the development of a landform map to reduce the risk of landslide disaster in JLS, Malang Regency. The integration of remote sensing and geographic information systems, as well as field observation, were used to create a landform map and a landslide susceptibility map. Using the geomorphological approach as a basic concept in landform mapping, the morphology, morphogenesis, and morphoarrangement conditions were obtained from the remote sensing data, GIS, and field observation, while morphochronological information was obtained from a geological map. The landslide susceptibility map was prepared using 11 landslide conditioning factors by employing the index of entropy method. Thirty-nine landform units were successfully mapped into four landslide susceptibility classes. The results showed that the study area is dominated by a high level of landslide susceptibility with a majority of moderate to strongly eroded hill morphology. It also reaffirms that landform mapping is a reliable method by which to investigate landslide susceptibility in JLS, Malang Regency. Full article

The aim of this research paper is to depict the level of satisfaction and importance of Full expressions Micro, Small & Medium Enterprises’ (MSMEs)’ human resources (HR) and the tourism sector community in East Java. The research was conducted on all aspects of HR in tourism sector MSMEs, among foreign and domestic tourists in East Java. The research is a quantitative and descriptive one. Primary data are used. The population of the research is HR in tourism sector MSMEs as well as domestic and foreign tourists. The sampling technique used is purposive sampling. Ten cities of high tourism potential were chosen. Determination of the sample size used the minimum criteria of a structural model that is between 100 and 200 units. In total, 200 tourism sector MSMEs were determined from ten tourism cities in East Java. From every tourism sector MSMEs, four employees and three tourists were taken. As a result, the entire research consisted of 800 employees and 600 foreign and domestic tourists. Importance performance analysis (IPA) was utilized as an analysis tool in this paper. The result indicated that each tourism resort, being a sample, has different findings. Batu City demonstrates a lack of transglobal leadership (TL). Malang, Kediri, and Blitar City demonstrate organizational citizenship behavior (OCB). Malang City lacks employment engagement (EE). Meanwhile, Pasuruan City and Blitar Regency are about human resources performance (HRP). For Pasuruan Regency, the variable of quality of work life (QWL) should be improved. For Sidoarjo Regency, sustainable tourism competitiveness (STC) should be paid attention. For Kediri City, the main variable that needs to be enriched is responsible marketing (RM). Overall, for the East Java region, the main variable that needs to be improved is RM. The findings obtained constitute a practical contribution for main tourism stakeholders to formulate relevant policies to cope with problems. Full article

The study deals with the possibility of waste utilization by using briquetting technology (production of solid fuels) and the potential of the manual low-pressure briquetting press in rural and peri-urban areas of East Java, where firewood is still commonly used as a source of energy for heating and cooking (besides LPG). The research compares households from the Donowarih village (Malang regency) and from the Maron peri-urban area (Blitar regency). Through quantitative and qualitative research, we document the potential of briquette production from household waste and agriculture production. The population from the peri-urban area is interested and willing to invest more in the technology, even though a higher biomass production has been found in the rural area. Financial possibilities were similar in both areas (p = 0.8986). A positive correlation (R = 0.5146) was found between the level of education and level of potential investments. Thus, higher education level meant higher interest in technology and the willingness to invest in it. In both areas there is a potential for briquette production and demand for its usage. Nevertheless, further research is recommended to find the suitable composition of bio-briquettes after the installation of wooden manual low-pressure briquetting press. Full article