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IMPLEMENTATION OF THE PENTAHELIX MODEL AS A BASIS FOR THE DEVELOPMENT OF FRIED ONION MSMES (MICRO, SMALL AND MEDIUM ENTERPRISES) IN PALU
Full text linkAfter experiencing natural disasters and the COVID-19 pandemic, several MSMEs (Micro, Small, and Medium Enterprises) in Palu, particularly fried shallot MSMEs, have experienced a decline in production. Various measures have been taken to redevelop the fried shallot business, including the implementation of the Penta Helix collaboration. This study aims to observe the involvement and interrelation of stakeholders within the Penta Helix model in the development of MSMEs in Palu. All involved parties include the government, academics, media, the community, and the business actors themselves.The results of the study indicate that all parties have specific activities in fulfilling their respective roles. The government undertakes activities such as mentoring, issuing Business Identification Numbers (NIB), organizing exhibitions/expos/farmers\u27 markets, conducting training, and providing e-catalog applications. Academics assist in the application of appropriate technology and enhance MSME actors\u27 knowledge related to digital marketing. The media helps market MSME products through social media platforms like Instagram. The farming community plays a role in preparing the raw materials for fried shallots, from planting to harvesting. The fried shallot business actors, as the core participants of the Penta Helix, collaborate, synergize, and support each other in the development of fried shallot MSMEs in Palu
PHENOTYPE CHARACTERISTICS OF CROSSING PURPLE CORN AND SWEET YELLOW CORN (ZEA MAYS L.) IN GENERATION F4
Full text linkPhenotypic characters in crossed plants is very important to find out the success of a cross and the differences in characters between one type and another. The purpose of this study was to identify and determine the best phenotypic characters resulting from crosses of maize plants in the F4 generation. This research was carried out on agricultural land in Oloboju Village (Bulu Pontu Jaya SP2), at an altitude of 176 meters above sea level, with a latitude of 1?00\u2721" South Latitude and 119?56\u2750.49" North Latitude. Sigi Biromaru District, Sigi Regency. The study started from February to July 2020. This study was structured using a randomized block design with five maize cultivars from F3 crosses as treatments, namely: purple corn cultivar, dominant yellow: purple, white dominant purple, purple dominant white, and purple dominant yellow which was repeated five times to obtain 25 experimental plots. The observed variables were: plant height, number of leaves, stem diameter, age at which male flowers were released, age at which female flowers were released, age at harvest, cob length, cob diameter, number of cob seeds, percentage of color, and weight of 100 seeds. The research data were analyzed using ovarian analysis, which was followed by the HSD test at the 1% level. The results showed that purple corn cultivars had the best phenotypic characteristics, namely, plant height reached 226.55 cm, cob diameter reached 40.95 mm, cob length reached 15.05 cm, color percentage reached 70.39%, number of cob seeds reached 411 .70 seeds and has a slightly fluffier texture and a slightly less sweet taste until it is quite sweet
ANALYSIS OF FACTORS AFFECTING FARMING HOUSEHOLD FOOD SECURITY POST-NATURAL DISASTER IN LAMBARA, CENTRAL SULAWESI
Full text linkThis research aims (1) to discover the factors influencing food security; (2) to determine food security after a natural disaster occurred on September 28, 2018. The research was conducted in Lambara, Central Sulawesi, from June to November 2021. The population of this study was 31 farmer households and, at the same time, became the study\u27s sample. Data were obtained in several ways: literature study, interviews, and questionnaires. Data relating to food security is processed using portion of food expensesanalysis. On the other hand, an analysis of the factors affecting food security is carried out by OLS (Ordinary Least Square) analysis in multiple regression. Testing the hypothesis in multiple linear regression analysis is carried out by testing the regression coefficients, namely testing the regression coefficients as a whole (F-test) and the regression coefficients partially (t-test) with a 2-way test ? = 5%. From the data processing results, it is known that the food security of farming households after natural disasters based on the share of food expensesis 70.97% food secure and 29.03% food insecure. Factors with significant effects on food security after natural disasters are income and level of education
THE IMPACT OF THE FOOD CRISIS AND CLIMATE CHANGE ON THE LIVES OF LOCAL COMMUNITIES
Full text linkThe food crisis and climate change have become two critical challenges facing the lives of local communities in various parts of the world. This research aims to analyze and understand the impact of the food crisis and climate change on local communities and how they adapt to these increasingly complex conditions. This study uses a qualitative approach by collecting data through in-depth interviews, participatory observation, and document analysis. The research sites involve several communities in areas that are exposed differently to food crises and climate change. The results of the study show that the food crisis and climate change are seriously affecting the daily lives of local people. Decreasing food availability, shifting weather patterns, and natural disasters further exacerbate their social and economic conditions. Local communities experience difficulties in meeting basic needs such as food, clean water and proper housing. In addition, climate change also has an impact on the agricultural sector which is the main source of livelihood for local communities. Traditional cropping patterns are no longer suited to unstable weather, and pest attacks and drought often destroy crop yields. This has resulted in reduced incomes and greater dependence on government assistance or humanitarian organizations. However, this study also identified several adaptation efforts made by local communities to deal with the food crisis and climate change. Some communities have changed cropping patterns and are cultivating crop varieties that are more resistant to climate change. The community is also actively developing local resources such as fish ponds and food processing to reduce dependence on imported food. In facing this challenge, inter-community cooperation and support from the government and international institutions are key in increasing food security and adaptation to climate change. Increasing access to sustainable agricultural technologies and financial assistance for local communities can strengthen competitiveness and reduce inequalities in the face of the impacts of the food crisis and climate change. In conclusion, this research highlights the importance of an in-depth understanding of the impact of the food crisis and climate change on local communities and adaptation efforts that can be made to strengthen their resilience. The increasing complexity of these challenges demands collective action from all parties involved to achieve sustainability and prosperity for local communities in the era of globalization and climate change.
 
ASSESSING THE PHYSICAL PROPERTIES OF SOIL ON FREQUENTLY PLANTED LAND WITH SHALLOTS AT GUNTARANO VILLAGE, DONGGALA REGENCY, CENTRAL SULAWESI
Full text linkThe red onion of the Palu Valley variety is a type of shallot that grows well in the Palu valley and its surroundings. It has a distinctive taste when fried, so it is one of the souvenirs from the city of Palu. This study aimed at examining the soil’s physical properties on land often planted with shallots. This research was conducted in Guntarano Village, Donggala Regency. Soil samples were analysed at the Laboratory of Soil Science, Faculty of Agriculture, University of Tadulako. The research was carried out from June to November 2022. The method used was a survey method and the research location was determined deliberately (purposive sampling). The soil samples were taken on shallot farming land at flat and back of the slope. Depending on the area of the land, there were five composite samples where each composite sampling representing from 5-10 points of observation. The results of analystzing the physical properties of the soil showed that the shallot fields had a crumb to lumpy soil structure; medium to heavy bulk density; soil organic matter varied from medium to high; and water conten at field capacity range from 16.12% to 22.85%. The soil in the shallot farming area has begun to show poor soil quality due to high soil porosity (66,09 %) and high soil permeability (13,10 cm/hour)
INTEGRATING EDUCATION FOR SUSTAINABLE DEVELOPMENT (ESD) IN HIGHER EDUCATION INSTITUTIONS TO REDUCE THE IMPACT OF CLIMATE CHANGE ON AGRICULTURAL INDUSTRIES
Full text linkEducation for sustainable development (ESD) became a highlighted issue in the educational sector all around the world. The concept is to integrate the social, economic, and environmental aspects to create a more comprehensive solution to maintain planet sustainability. Higher education as an institution that creates agents of change in society must be adapted toward nowadays issues that are related to global development. Agricultural industries became an area that was also impacted by climate change. Higher education is an institution that also undertakes tri dharma that carries on their solution toward this issue. This research aims to explore how to integrate of Education for Sustainable Development in higher education institutions (HEI) to reduce the impact of climate change on agricultural industries. The research uses a systemic literature review related to the topic. This research result is a strategy to integrate Education for Sustainable Development (ESD) in higher education starting by making a commitment, program planning, and integrating into the curriculum to improve the university student’s awareness about the impact of climate change on food security and planet sustainability. Higher education can make a broad effect on agricultural mitigation of climate change. This program can be implemented in a higher education institution to make a more relevant learning process that also supports “Merdeka Belajar” curriculum in Indonesia
THE RELATIONSHIPS OF RISKS AND INCOMES IN FARMING IN WETLAND AND DRYLAND OF NORTH LOMBOK, INDONESIA
Full text linkRisk is a constant threat to businesses, including to farms in North Lombok, Indonesia. This paper examines the relationships between risks of farming and incomes generated by the selected farms. Data related to farm risks and incomes were collected from samples of farmers in wetland and dryland in North Lombok Indonesia, through series of face-to-face interviews on the farms or farmers houses, guided by a semi-structured questionnaire. Quantitative analyses were carried out on farm risk levels and income, followed by descriptive comparative on examination of the relationships between the two main variables of this paper. Results of analyses revealed that incomes from farming crops in North Lombok were not obviously related to the risks associated with the crop production and market. However, agricultural producers have selected crops for their suitability to the land (soil) and local climate, by which farming risks were reduced or eliminated, for sustaining farming activities, and expecting high farm income. Since crops have been suitable to the land climate, as well as to the acceptable risk, then agricultural production is continued and income is generated for the farmers.  
URBAN FARMING: ALTERNATIVE SUSTAINABLE FOOD SYSTEMS AFTER THE COVID-19 PANDEMIC
Full text linkThe Covid-19 pandemic that has occurred in Indonesia has brought many significant impacts on human life in various aspects of people\u27s lives. Policies during the pandemic such as Work from Home (WFH) and Large-Scale Social Restrictions (PSBB) have also had a socioeconomic impact on the community, including the most basic needs, namely food. On the other hand, agricultural land that continues to be eroded for the benefit of development and the age of farmers who are on average old whose ability to grow them is declining also play a role in the decline in food. The threat of a food crisis is now gradually beginning to haunt the entire society. Based on Global Hunger Indonesia (GHI) data, the hunger rate of people in Indonesia is in the serious category even though it has decreased from 24.9% (2010) to 20.1% in 2019. Indonesia must remain vigilant against the threat of famine that can trigger various kinds of major issues such as health, social and security. Urban farming is a gardening concept by utilizing the space in the house or settlement. Based on the foregoing, urban farming is very supportive and gives positive appreciation because it has proven to provide more benefits for the community in the midst of a pandemic. A number of studies also mention that urban farming can be an ideal agricultural concept in the future. In addition to the considerable benefits of urban farming, the main challenges in urban farming are determining how to monitor, regulate, and minimize risks in environmental, economic, and socio-environmental forms and understanding how urban farming can be sustainable in urban food systems globally. Urban agriculture can increase the value of food locality and reduce the energy spent in the fruit and vegetable production process. Therefore, the city government has an important role in providing specific regulations to support the implementation of sustainable urban farming
THE IMPACT OF COVID-19 ON THE PRODUCTION AND INCOME OF HYBRID CORN (Zea mays L) FARMER IN WATANG KASSA VILLAGE, BATULAPPA DISTRICT, PINRANG REGENCY
Full text linkPinrang Regency is one of the centers for the development of Hybrid Corn (Zea mays L) which is spread in several sub-districts, including Batulappa District, as BPS listed the largest shelled corn producing area in Pinrang Regency. Corn production in 2016-2018 continued to increase successively, were in 2018 it was able to produce shelled corn of 56,185 tons. The Covid-19 pandemic has had an impact on several sectors, one of which is the agricultural sector. This study aims to analyze the impact of the Covid-19 pandemic on the production and income of hybrid corn farmers in Watang Kassa Village, Batulappa District, Pinrang Regency. The area was chosen because it is the largest corn producing area and the majority of the surrounding population depend on corn farming. The data collected in this study are primary data and secondary data. Primary data was obtained through interviews with respondents using questionnaires, while secondary data is obtained indirectly or through intermediary media, data that has been available in various forms by relevant government agencies. Total sample in this study were 42 corn farmers. Researchers used descriptive quantitative methods through interviews with farmers and filling out questionnaires as a support to obtain data. Corn farming was analyzed using income analysis and further with hypothesis testing, namely the Paired Sample T-Test average difference test. The results showed that there was a real or significant difference in corn production and there was an average decrease in corn production by 537/kg while the average income of corn farmers increased by IDR 1,097,000
SPATIAL-TEMPORAL ANALYSIS OF FOREST DEFORESTATION IN LORE-LINDU NATIONAL PARK
Full text linkIndonesia is listed as one of the countries with a high rate of deforestation. This deforestation occurs in almost all islands in Indonesia, including Sulawesi. Deforestation analysis needs to be carried out to determine the rate of change in forest cover and the factors that cause it, so that forms of forest management can be planned to achieve sustainable forest management This analysis is expected to fulfill the need for information on how the vulnerability of deforestation occurs spatially, where the locations of deforestation occur and what factors encourage deforestation and forest degradation. The study found that the rate of forest decrease from 1990 to 2020 was 328 hectares/year with the highest rate was from 1990 to 2000 with rate of forest decrease 690 hectares/year. The deforestation located in four area that has difference land cover change. Area 1 changed to settlement and dry land agriculture, area 2 changed to cocoa plantation by the local community planted in 2000s, area 3 changed to cocoa plantation by the local community planted in 2010s. Area 4 changed to open area/bareland indicated after ilegal logging occurred since 2000