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AGROMIX
Published by Universitas Yudharta Pasuruan
ISSN : 2085241X     EISSN : 25993003     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Journal of Agromix as a scientific study and information on agricultural fields containing scientific writings, a summary of the results of research, service, critical thinking about Agricultural, Fisheries, Agricultural Product Technology, Animal Husbandry, and all fields related to Agriculture.
Arjuna Subject : -
Articles 360 Documents
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The strategy for developing the Kalipucang dairy farming agribusiness area as a dairy village agroedutourism using the business model canvas M Dayat; Budi Eko Soetjipto; Cipto Wardoyo

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i1.3808

Abstract

Introduction: Efforts to enhance the agribusiness sector, particularly in dairy farming, require integrated development alongside other local potentials. This study aims to establish a model for dairy cattle agribusiness development integrated with the village's superior potential, utilizing the Business Model Canvas (BMC). Methods: The research involved mapping the dairy cattle agribusiness in Kalipucang Tutur Pasuruan Village using the BMC framework. The study analyzed the fulfillment of the nine BMC element blocks and identified strategies for enhancing productivity through SWOT analysis. Results: The mapping revealed that the dairy agribusiness in the village offers animal husbandry educational tours and satisfies the BMC element blocks. However, there is a need for strategic enhancements to boost productivity. The strategic analysis also identified the potential for developing agroedutourism due to the advantageous location near tourist spots. Conclusion: The integration of dairy cattle agribusiness with local potentials, as outlined in the BMC mapping, presents opportunities for further development. Strategic recommendations derived from the SWOT analysis provide insights for optimizing productivity and leveraging the area's potential for agroedutourism.
Residue of biochar-organic fertilizer after one year of use on corn (Zea mays L.) plants in Alfisol Widowati; Wahyu Fikrinda; Wakhid; Frengky Umbu Kolambani

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i1.3930

Abstract

Introduction: Nutrient-poor soil can lead to reduced crop yields. Biochar-organic fertilizer has demonstrated positive effects over several growing seasons. However, the efficacy of biochar-organic fertilizers varies based on the raw materials used and the duration of their application in the soil. This study aims to assess the residues of biochar, manure, and compost one year after their application on maize plants in Alfisol. Methods: A 300 kg/ha dosage was employed for a single treatment of biochar, manure, and compost. Additionally, biochar was combined with manure or compost at a dose of 150 kg/ha each. The experiment utilized a randomized block design with nine treatments and three replications, including a control group. The treatments comprised biochar made from coconut shell and husk, compost, manure, shell+compost biochar mixture, shell+manure biochar mixture, husk+compost biochar mixture, and husk+manure biochar mixture. Corn variety Pertiwi 3 was harvested upon reaching physiological maturity. Results: Combining husk biochar with chicken manure exhibited the most favorable response regarding plant height, leaf area, and weight. Furthermore, combining cob biochar and chicken manure yielded optimal cob length, weight without seeds, and seed weight. Conclusion: After one year, applying shell biochar mixed with manure demonstrated the most significant residual effect on corn plants.
Factors influencing the participation of women farmer groups in agricultural extension in Luwu Regency, South Sulawesi Syafruddin; M Risal

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i1.4026

Abstract

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Development strategies for sustainable smallholder coffee plantations in Wagir District, Malang Regency Rita Parmawati; Fitri Candra Wardana; Rizha Hardiansyah; Nadhea Oktaviantina Rahmawati; Fahdynia Karnira Gunawan; Fadhil Muhamad Ashari

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i1.4060

Abstract

Introduction: The coffee plantation subsector is one of the most significant subsectors in Wagir District, Malang Regency. Sustainable practices are critical to the success of smallholder coffee crops. This research aims to create a sustainable plan for smallholder coffee crops in Wagir District, Malang Regency. Methods: Twenty farmers and five experts chosen by purposive sampling participated in the study, which was carried out in the Wagir District of Malang Regency. A questionnaire was utilized to interview participants to capture the phenomenon. Data analysis employs a hybrid approach that combines SWOT and AHP. Results: Six strategic priorities are identified by the study findings following the identification of internal and external factors in the SWOT and AHP analyses. Limitations - Second Opportunity (WO2) The most important strategy to be put into practice based on the situation on smallholder coffee plantations in Wagir District is the one with a score of 1.135. Conclusion: To have a more widespread and long-lasting impact, the primary tactic to increase the sustainability of smallholder coffee plantations in Wagir District, Malang Regency, is to work with multi-stakeholders like the local government, academic institutions, and research centers to directly educate the community or serve as resource persons in capacity building for agricultural extension workers.
Analysis of production projections and factors that correlated with rice production in Indonesia Muh. Al-Aswar Rusman; Darsono; Ernoiz Antriyandarti

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i1.4061

Abstract

Introduction: Meeting rice needs is largely determined by the level of domestic rice production. However, the various dynamics that occur provide encouragement to provide an overview of the conditions for meeting food needs, namely in the form of rice, based on trends in rice production and how independent variables correlate with rice production. The aim of this research is to determine the projected rice production for 2023-2032 and determine the strength of the relationship between the dependent variable (rice production) and the independent variables in the form of harvested area, price of harvested dry grain, price of urea fertilizer and price. Methods: namely a quantitative descriptive method with secondary time series data from 1993-2022. Data analysis techniques for forecasting studies are by using Autoregressive Integrated Moving Average (ARIMA) analysis. Meanwhile, in the correlation analysis of rice production using the Pearson correlation. Results: Projections for rice commodity production in Indonesia from 2023 to 2032 using the MA1 model show a positive trend. Analysis of the relationship between the independent variable and the dependent variable, namely harvest area (X1), rice price (X2), urea fertilizer price (X3), and price of other food commodities, namely corn (X4) shows a significant positive relationship with rice production in Indonesia. Conclusion: Projections for rice commodity production in Indonesia from 2023 to 2032, which were analyzed using the MA 1 model, obtained data with a positive trend which states that based on past data, Indonesian rice production will continue to increase every year in line with domestic food needs.
The role of agricultural extension workers in digital transformation at the Agricultural Extension Center in Lowokwaru Malang Salsabella, Irene Hanies; Bakhtiar, Ary; Ibrahim, Jabal Tarik

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4098

Abstract

Introduction: The pivotal role of the agricultural sector in Indonesia's economic advancement stems from the employment of a significant portion of the Indonesian populace. Central to this sector are agricultural extension workers tasked with fostering motivational shifts, altering operational methodologies, and instilling adaptive practices congruent with technological advancements. This research endeavors to scrutinize the modus operandi of agricultural extension workers amidst the digital metamorphosis era within the Agricultural Extension Center situated in Lowokwaru, Malang, Indonesia. Methods: Employing a Mixed methods approach, this study draws upon primary and secondary data sources. Thirty samples, affiliated with the Farmers Group at the Agricultural Extension Center in Lowokwaru Malang, constitute the study cohort, selected through purposive sampling techniques. Data accrual involves questionnaire administration, employing the Likert scale as the measurement metric. Statistical analysis entails multiple linear regression, facilitated through SPSS 22 software. Results: Simultaneously, variables embodying extension workers' roles as facilitators, innovators, motivators, dynamists, and educators collectively impact the income of registered farmers at the Agricultural Extension Center in Lowokwaru, Malang. Conclusion: This study reveals that the roles of extension workers as facilitators, innovators, and educators significantly enhance farmers' capacity to integrate digital technology into their agricultural practices. Nevertheless, the absence of direct statistical significance in some roles suggests the interplay of other critical factors, such as farmers' readiness to adopt technology and external support mechanisms. These findings highlight the need for targeted interventions to bolster extension workers' capabilities and farmer engagement with digital innovations.
Time of detasseling and defoliation effect on hybrid sweet corn (Zea mays saccharata. Sturt) seed production Rahmawati, Dwi; Rahayu, Sri; Sjamsijah, Nurul; Nafisah, Siti

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4105

Abstract

Introduction: Sweet corn (Zea mays saccharata Sturt) is one of the horticultural crops that is in great demand in Indonesia because of its distinctive sweet taste and relatively short production time. To improve the quality and quantity of hybrid sweet corn seed production, it is necessary to apply appropriate agronomic techniques, such as detasseling (removal of male flowers) and defoliation (pruning leaves). This study aims to determine the interaction between detasseling time and the number of leaves pruned on the production parameters of hybrid sweet corn. Methods: The study was conducted in Wringintelu Village, Puger, Jember, from August to December 2022, using a factorial randomized block design (RBD) with three replications. The treatments consisted of three detasseling times (48 DAP, 50 DAP, and 52 DAP) and three levels of defoliation (no defoliation, 2 leaves, and 4 leaves). Data were analyzed using ANOVA and continued with a 5% DMRT test if there was a significant effect. Results: The results showed that the interaction of detasseling time of 48 HST with 4-leaf defoliation gave the best results on the parameters of cob weight (78.55 g) and cob length (14.97 cm). Individually, the treatment of detasseling time of 48 HST produced the highest seed production per hectare of 18.44 tons, while 4-leaf defoliation produced a production of 18.17 tons per hectare. Conclusion: In conclusion, the combination of detasseling time of 48 HST and 4-leaf defoliation is the best treatment to increase the production of hybrid sweet corn seeds, so it can be a recommendation for agronomic practices to increase sweet corn productivity in Indonesia.
Identification of supply chain risks in the tobacco products industry in Pasuruan Regency using the supply chain operations reference (SCOR) and house of risk (HoR) model approaches Supriyadi; Abdul Wahib Muhaimin; Silvana Maulida

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i1.4123

Abstract

Introduction: This research aims to identify types of risks and sources of risks, analyze risk priority levels, and formulate mitigation strategies for the tobacco products industry supply chain in Pasuruan Regency. Methods: This research was conducted at the tobacco products industry PT. XZ in Pasuruan Regency. Respondents focused on company managers (focal firms), namely product development, raw material management, research and development pilot plant and tobacco clue management who knew about supply chain risks. Supply chain network integration uses a snowball method approach. Data collection methods use primary and secondary data. At the interview stage, the Delphi method was used to identify risk events and risk sources. Furthermore, the results of the interview were identified using the Supply Chain Operation Reverence (SCOR) and House of Risk (HoR) models. Results: There are 39 risk events and risk agents in the IHT in Pasuruan Regency. There are eight risk priority levels for tobacco supply chain risk agents using the SCOR approach and the Pareto diagram, namely workers not paying attention, problems with machines, high rainfall/high rainfall, production machines need to be repaired, workers' skills are not good, production machines are old, handling bad goods, and errors in the machine. Conclusion: The results of the IHT supply chain risk mitigation strategy formulation are tightening the use of work SOPs, checking production machines regularly, strengthening information between agents and factories, checking machines every 4 hours, conducting worker training, using Google Maps technology in delivering goods, cleaning machines, maintaining product quality, drying/air-drying tobacco leaves, improving quality control during transactions with farmers, and increasing coordination with the Government.
Evaluation of organic farming field schools in Gunung Kidul Regency, special region of Yogyakarta Damayanti, Era Rizqi; Sujono; Nurlaela, Siti

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4170

Abstract

????????????????????????????????????????????????: ???????????????????????????????????????? ???????? ???????????????????? ???????????????????????? ???????????????????????????????????????? ???????????????????? ???????? ???????? ???????????????????????????????? ???????? ???????????????? ???????????????????????? ???????????????????? ???????????????????????????????????????????????????? ???????????? ???????? ???????????????? ???????? ???????????????????????????? ???????????? ???????????????????????????? ???????? ???????????????????? ???????????????????????????? ???????? ???????????? ????????????????????????. ???????????????? ???????????????????? ???????????????? ???????? ???????????????????????????????????? ???????????? ???????????????????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ???????????????????? ???????????????????????????? ???????????????????? ???????? ???????????? ???????????????????? ???????????????????????????????????????? ???????????????????? (????????????????????????????, ????????????????????, ????????????????????????????, ????????????????????????????, ????????????????????????????), ???????????? ???????????????????????????????????? ???????? ???????????????????????????????? ???????????? ???????????????????????????????? ???????????????????????????? ???????????????????????????????????????????????????????? ???????? ???????????? ???????????????????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ???????????????????? ????????????????????????????, ???????????????????????????????????? ???????????????? ???????????????? ???? ???????????????????????????? ???????????????????????? ???????? ???????????? ???????????????????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ???????????????????? ????????????????????????????, ???????????? ???????????????????????????????????????????? ???????????????????????? ???????????????? ???????????? ???????? ???????????????????????????? ???????? ???????????????????????????????????? ????????????????????????????????. ????????????????????????: ???????????????? ???????????????????????????????? ???????????????????????? ???????? ???????? ???????????????????????????????????? ???????????????????????????? ???????????????????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ???????????????????? ???????????????????????????? ???????????????? ???? ???????????????????????? ???????? 50 ????????????????????????????. ???????????? ???????????????????????????????? ???????????????????????????????? ???????? ???????? ???????????????????????????????????? ????????????????????????????????????, ???????????????????????????????????? ????????????????????????????????????, ???????????????????????? ???????????????????? ????????????????????????????. ???????????????? ???????????????????????????????? ???????????????????? ???????????????????????????????? ???????????????????????? ???????????????????????????????????????? ???????????????? ????????????????????????????????. ????????????????????????????: ???????????? ???????????????????????????? ???????????????????????? ???????????????? ???????????? ???????????????????????????????????????????????????????? ???????? ???????????? ???????????????????????????? ???????????????????????????? ???????????????????? ???????????????????????? ???????? ???????????????????????????????????? ???????????????????????????????????? ???????????? ???????????????? ???????????????????????????????????????????? ???????????????? ???? ???????????????????? ???????????????????????????????????????? ???????????????????? ???????? 83.98% ???????????? ???? ???????????????????????????????????????????????? ???????????????????? ???????? 0.000 ???????? ???????????? ???????????????????????? ????-????????????????. ????????????????????????????????????????????????????????, ???????????? ???????????????????????????????????????????????????? ???????? ???????????? ???????????????????????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ???????????????????? ???????????????????????????? ???????? ???????????????????????????????????????? ???????? ???????????????????????????????? ????????????????????????????, ???????????????????????? ????????????, ???????????????????????????????????? ????????????????????, ???????????????????????????? ????????????????????????????????????????, ???????????????????? ???????? ???????????????????????? ????????????????????????????????????????????????????, ???????????? ???????????????????????????????????????????????? ???????????????????? ???????? ????????????????????????????, ???????? ???????????????? ???????? ???????????????????????????????? ????????????????????????????, ???????????????????????? ???????????? ???????????????? ???????? ???????????????????????? ???????????????????????? ???????????? ???????????? ???????????????? ???????? ???????????????????????????????????????????????? ???????????????????????????????????? ????????????????????????????. ????????????????????????????????????, ???????????? ???????????????? ???????? ???????????????????????????????????????????????? ???????????????????????????????????? ???????????????????????????? ???????????????????????????? ???????????? ???????????????????????????????????????????????????? ???????? ???????????????????? ???????????????????????? ????????????????????????????????????????????????????????. ???????????????? ???????????????????? ???????????????? ???????????? ???????????????? ???????? ???????????????????????????????????????????????? ???????????????????????????????????? ???????????????????????????? ???????? ???????? ???????????????????????????????????? ???????????????????????? ???????? ???????????????????????????????????????????? ???????????? ???????????????????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ???????????????????? ????????????????????????????. ????????????????????????????????????????: ???????????? ???????????????????????????? ???????????????????????????? ???????????????????? ???????????????????????? ???????? ???????????????????????????????????? ???????????????????????????????????? ???????? ???????????????? ???????????????????????????????????? ???????????? ???????????????????????????????????????????????????????? ???????????????????????????????????????? ???????? ???????????????????????????????? ???????????? ???????????????????????????????? ????????????????????????????, ???????????????????? ???????????????????????????????????? ???????????????????????????????????????? ???????? ???????????? ???????????????? ???????? ???????????????????????????????????????????????? ???????????????????????????????????? ????????????????????????????.
Indigenous microorganisms from the corm of banana improve the growth and yield of three varieties of cucumber (Cucumis sativus L.) Lasmini, Sri Anjar; Burhanuddin; Taiyeb, Asgar; Surya, I Komang

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v15i2.4174

Abstract

Introduction: Cucumber (Cucumis sativus L.) is a type of vegetable that is widely consumed by the public. Cucumber production is still low due to cultivation systems that are not by standard operating procedures and low soil fertility. Therefore it is necessary to improve cultivation techniques through the use of quality seeds and fertilization. The study aimed to determine the effect of various concentrations of indigenous microorganisms from the corm of banana on the growth and yield of three varieties of cucumber. Methods: The study used a randomized block design with two factors: cucumber variety (Hercules, Mercy, Harmony) and concentration of indigenous microorganisms from banana corm (0, 200, 400, 600 ml/L). Each treatment was repeated three times with eight plants per plot, totaling 288 plants. Results: There was an interaction between cucumber varieties and microorganism concentrations. The Harmony variety with 600 ml/L of microorganisms showed the best results: plant height (162.03 cm), number of leaves (31.92), branches (3.57), fruits (10.58), and fruit weight (156.28 g). Conclusion: The Harmony variety and 600 ml/L concentration of indigenous microorganisms from banana corms significantly improved cucumber growth and yield. This method can reduce production costs by using easily available and cheap materials, decreasing reliance on expensive synthetic fertilizers.

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