Rahmadanih Rahmadanih

Rahmadanih Rahmadanih

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Rahmadanih Rahmadanih has a total of 68 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Key variables for sustainable cut rose farming in Batu City, Indonesia

    by Riska Tiasmalomo, Muslim Salam, Hari Iswoyo, Muhammad Hatta Jamil, A. Nixia Tenriawaru, Rahmansyah Dermawan, Nitty Hirawaty Kamarulzaman, Akhsan, Heliawaty, Letty Fudjaja, et al.

    Currently, cut rose centers in Batu City face many problems that threaten the sustainability of their businesses. Research that combines various dimensions to identify key variables affecting the sustainability of cut rose farming remains limited and is needed. Hence, this study aimed to map and identify the key variables influencing the sustainability of cut rose farming in Batu City, East Java, Indonesia. Primary data were collected through structured interviews with 155 cut rose farmers, selected using random sampling. The employed data analysis technique was the Matrix of Crossed Impact Multiplications Applied to a Classification (MICMAC). The results showed that the key variables influencing the sustainability of the cut flower rose farming business in Batu City are pest and plant disease attacks (PPDA), the use of chemical pesticides (UCP), market objectives (MO), the market chain (MC), and the source of capital (SC). In addition, this study identified key and representative variables from four dimensions based on the Social-Ecological-Technological & Innovation Systems (SETIS) framework, namely extension intensity (social), educational level (social), market objectives (economic), market chain (economic), capital sources (economic), pest and plant disease attack (ecological), use of chemical pesticides (ecological), and cultivation technology (technology and innovation). The study’s recommendations are: (1) increasing the extension intensity and educational level (social dimension); (2) expanding market objectives, shortening market chains, and managing capital appropriately (economic dimension); (3) implementing integrated pest and disease management and limiting the use of chemical pesticides (ecological dimension); and (4) increasing the use of cultivation technologies (technology and innovation dimension).


  • Open Access

    Governing Market Risk in Organic Agriculture: Institutional Resilience and Collective Action in Rural Indonesia

    by Putri Kartika, Rahmadanih, Imam Mujahidin Fahmid, Didi Rukmana

    Why do some organic farming systems persist while others collapse despite similar histories of collective action, policy support, and social legitimacy? This study examines how institutional design shapes the resilience of organic rice systems under conditions of market volatility and buyer power. Drawing on a qualitative comparative analysis of two subnational cases in rural Indonesia—Magelang and Tasikmalaya—Magelang experienced only 6–8% reversion to conventional rice (≈4.2 ha lost), while Tasikmalaya saw 32–38% reversion (≈13–17 ha). The study applies and extends the Institutional Analysis and Development (IAD) framework to foreground market risk governance as a central explanatory variable. The findings show that sustainability depends less on collective organisation than on whether producer institutions function as risk-bearing actors. In Magelang, a farmer cooperative governed market relations through internal monopsony and buyer diversification, shifting market risk from individual households to the organisational level. In Tasikmalaya, reliance on an external monopsony concentrated risk outside producer control; when buyer demand weakened, risk was rapidly transferred to farmers, triggering institutional fragmentation and exit from organic production. By distinguishing internal from external monopsony, the study advances an institutional explanation of resilience in market-mediated sustainability transitions and suggests that policies should prioritise institutional capacity for market risk governance over certification or production technologies.


  • Open Access

    Institutional determinants and technological adoption pathways influencing rice farming success: evidence from Indonesia

    by Sitti Bulkis, A. Amrullah, Muhammad Arsyad, Idris Summase, Rahmadanih, Nishantha Busige, Adhyta Puspita Summase, Andi Aulia Fadillah

    Institutional capacity is increasingly recognized as a critical determinant of agricultural performance in smallholder systems. However, its interaction with resource access and technology adoption remains insufficiently understood. This study aims to analyze the role of farmer institutions in the success of rice farming in Maros Regency, South Sulawesi Province. The study was conducted using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach involving 406 randomly selected farmer respondents. The latent variables in this research include Organizational Management, Social Solidarity, Financial Support, Access to Agricultural Production Inputs, Access to Information and Training, Technology Adoption, and Farming Success. The results show that farmer institutions play a significant role in enhancing access to agricultural inputs and information, ultimately strengthening the capacity for technology adoption and farming success. Access to production inputs is the most dominant factor directly affecting farming success as well as indirectly through technology adoption as a mediating variable. Meanwhile, organizational management and social solidarity contribute greatly to the effectiveness of institutions, while financial support requires more adaptive governance to have an optimal impact. These findings assert that farmer institutions serve as the main driver in the integration of economic, social, and technological innovation to realize the sustainability of the rice farming system.

  • Open Access

    Exploring the role of social capital in enhancing economic activity among poor households

    by Achmad Faisal, M Saleh S Ali, Rahmadanih, Heliawaty Ch Lakare

    Alleviating household economic challenges and poverty remains a global priority in the pursuit of national well-being. This study argues that fostering sustainable social capital can enhance the economic resilience of poor households. Therefore, this study aimed to explore the role of social capital in the economic activities of poor households. A qualitative method with a phenomenological approach was employed, using observations and in-depth interviews with 18 purposively selected respondents from both rural-agricultural and urban-multi-sector areas in Enrekang Regency, Indonesia. The findings revealed that social capital significantly influenced all three aspects, particularly through the utilization of social relationships, trust, networks, and norms. Poor households relied on these social connections such as family ties, friendships, and community networks to access critical resources, including informal loans, market information, and employment or business opportunities. These networks helped households navigate financial constraints and gain access to markets for their products. In conclusion, social capital played a crucial role in mitigating economic uncertainty and reducing everyday risks for poor households. Interestingly, the study found that regional context (rural and urban) did not significantly affect how social capital was utilized. Instead, variations were more closely linked to the diversity of economic activities across different household groups.


  • Open Access

    The Application of Binary Logistic Regression in Modeling the Post-COVID-19 Effects on Food Security: In Search of Policy Recommendations in Promoting Sustainable Livelihoods for Food-Insecure Households

    by Khaeriyah Darwis, Muslim Salam, Musran Munizu, Pipi Diansari, Sitti Bulkis, Rahmadanih, Muhammad Hatta Jamil, Letty Fudjaja, Akhsan, Ayu Wulandary, et al.

    COVID-19 has caused global problems with complex ramifications. Vulnerable households worry about disruptions to food security. Mobility restrictions, decreased salaries, and supply chain disruptions have increased food insecurity. This study examined the best food security model and its determinants. The primary research data were collected from 257 respondents via cluster random sampling. Binary logistic regression, using R-Studio, was employed to analyze the data. The study showed that the Minimal Model (MM) was optimal in explaining food security status, with three predictors: the available food stock (AFS), education of the household head (EHH), and household income (HIc). This aligned with studies showing that food purchase ability depends on income and education. Male household heads demonstrated better food security than females, while women’s education influenced consumption through improved nutritional knowledge. Higher income provides more alternatives for meeting needs, while decreased income limits options. Food reserve storage influenced household food security during the pandemic. The Minimal Model effectively influenced food security through the AFS, EHH, and HIc. The findings underline the importance of available food stock, household head education, and household income in developing approaches to assist food-insecure households. The research makes a significant contribution to ensuring food availability and promoting sustainable development post-pandemic.


  • Open Access

    The Driver Factors Affecting Consumer Behavior in Purchasing Canned Fish Products in Makassar City, Indonesia: Evidence from Binary Logistic Regression

    by Firyal Nada Salsabila Agung, Muslim Salam, Andi Amran Sulaiman, Muhammad Hatta Jamil, Andi Adri Arief, Abdul Razak Munir, Rahmadanih Rahmadanih, Letty Fudjaja, Heliawaty Heliawaty, Ahmad Imam Muslim

    Due to major shifts in consumer behavior, instant food products—like canned fish products—are currently becoming widespread and consumed by a large number of people. Inevitably, this makes competition fiercer in this sector. Therefore, companies must focus on customer satisfaction and fulfillment to shape their purchasing decisions. This study aimed to examine the factors influencing consumers' decision to choose canned fish products. Eight independent variables—brand image, product quality, product price, product taste, product availability, product packaging, brand trust, and consumer satisfaction—were hypothesized to influence consumers' purchasing decisions in canned fish products as dependent variables. Primary data was collected through an online survey using pre-designed questionnaires to achieve the study objective. Then, the binary logistic regression was employed to analyze the data. The results of this study indicated that brand image, product quality, product taste, product availability, brand trust, and customer satisfaction significantly affected purchasing decisions for canned fish products. These findings serve as important indicators and valuable insights in promoting the canned fish product. These facts and findings indicate that company should recognize that improving product quality through innovation, competitive advantage strategies, and technology adoption are important advantages for the sustainable growth of canned fish products.

  • Open Access

    The role of global actors in the sustainability of upstream–downstream integration in the silk agribusiness

    by Rezki Rahayu, Darmawan Salman, Rahmadanih, A Sadapotto

    The involvement of global actors and local stakeholders plays a strategic role in the sustainability of natural silk agribusiness. However, there remains a significant gap in understanding how the presence of global actors shapes, influences, and directs the design and achievements of integration in the Soppeng and Wajo Regencies. This study aims to analyze the role of global actors in the sustainability of upstream and downstream integration involving actors from two neighboring regions. This study was conducted using a case study method on actor interactions in the sustainability of natural silk agribusiness integration. Data were collected through interviews, observations, and documentation from 22 participants. The results show that the sustainability of upstream–downstream integration of the natural silk agribusiness in Soppeng and Wajo Regencies is influenced by the interaction between local and global actors. The dominance of global actors as providers of production inputs and export market connectors has shifted the role of local actors and weakened the natural silk supply chain structure. This is reflected in the shifting roles of traditional spinners and the weaving industry in downstream activities that survive on imported yarn. Therefore, strengthening local institutions and production independence are key strategies for realizing the sustainability of an inclusive and competitive natural silk agribusiness.

  • Open Access

    The Application of the Binary Logistic Regression Model in Examining the Effects of Input Factor Allocation on Tangerine Production: Empirical Evidence from Selayar Islands Regency, Indonesia

    by Abdushamad Abdushamad, Muslim Salam, A. Nixia Tenriawaru, Muhammad Hatta Jamil, Didi Rukmana, Nurdjanah Hamid, Nitty Hirawaty Kamarulzaman, Rahmadanih Rahmadanih, Heliawaty Heliawaty, Nurbaya Busthanul, et al.

    This study aimed to examine the effects of the input factor allocation on tangerine production in Selayar Islands Regency, South Sulawesi Province. Binary logistic regression was the data analysis method utilized to achieve the research objective. Based on the findings, it was found that the factors of length of education, farmer group membership, farm distance, labor, pesticides, herbicides, urea fertilizer, manure, and NPK fertilizer all had a significant impact on the output of tangerines in farming. Factors such as education duration, participation in farmer groups, labor availability, and the use of herbicides, urea fertilizer, NPK fertilizer, and manure all positively and significantly impact tangerine farm production. However, the distance between farms and insecticide application imposes a substantial negative effect on tangerine yields. These results suggest that the tangerine farmers at the research site should increase their production by learning farming management, joining farmer groups, cultivating additional land, and using more urea, NPK, and manure. Pesticide application optimization can also boost tangerine production. In addition, farmers need a mix of conventional and organic fertilizers and limited pesticide use to stay productive.


  • Open Access

    Employing the Cobb-Douglas Function Model to Examine How Input Allocation Affects Rice Production: In Search of Ways to Improve the Rice Farming Management

    by Muslim Salam, Yulistyah Rustan, Rusli M. Rukka, Rahmadanih Rahmadanih, Rafiqah Maulidiyah, Ahmad Imam Muslim, Hamed Noralla Bakheet Ali, Muhammad Ridwan

    Agricultural production is a significant contributor to Indonesia's economy. Due to the fact that it is a staple food, rice is a crop that is extremely important to the agricultural sector of the country. The rice production in the Bantaeng Regency has had a consistent decline over the past five years, falling short of the set target. The phenomenon is believed to be attributed to several stages in the production process. Given this, our study objective was to determine the factors that impact rice production in the regency. The field survey for data collection was conducted at the beginning of 2023. The data was collected by the structured interview approach. Then, data analysis in the study was carried out using the Cobb-Douglas function model. The study showed that certain production factors, such as land area, pesticides, herbicides, land processing workers, and plant workers, had a substantial positive impact on rice production. Factors such as seeds, urea fertilizer, NPK fertilizer, maintenance labor, and harvesting labor have no effect on rice production. Rice producers can improve their rice growing practices to boost their rice production. These findings offer important perspectives and a roadmap toward improving rice production management. Variables such as land acreage, pesticides, herbicides, land processing workers, and plant workers should be considered as factors that can boost rice production in the future.


  • Open Access

    Determinants of Farmer Participation and Development of Shallot Farming in Search of Effective Farm Management Practices: Evidence Grounded in Structural Equation Modeling Results

    by Andi Amran Asriadi, Muslim Salam, Rahmawaty Andi Nadja, Letty Fudjaja, Didi Rukmana, Muhammad Hatta Jamil, Muhammad Arsyad, Rahmadanih, Rafiqah Maulidiyah

    The objective of this research was to examine the determinants of farmer participation and shallot-farming development in search of effective farm management practices. The study used structural equation modeling data analysis. The primary data were collected from direct structural interviews with 150 randomly chosen shallot farmers in Bantaeng Regency, Indonesia. It was found that the latent variables of Physical Aspects of Land, System of Economy Peasant Society, and System of Political Peasant Society were fundamental factors that exerted a positive and significant influence on the latent variable of Farmer Participation. Therefore, improvements in the physical aspects of the land, the economic framework, and the political structure of agricultural communities could promote farmer participation. Furthermore, the latent variable of Farmer Participation and System of Political Peasant Society had a positive and significant impact on shallot-farming development. Thus, by increasing the influence of government officials and community leaders, shallot farming can be promoted. The farmers can then enhance their participation in shallot-farming plan formulation and implementation, providing the continued development of shallot farming. The findings of this study contribute significantly to the body of knowledge by validating previous research and proposing different ways to improve effective farm management practices in shallot farming.