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INDONESIA
Jurnal Ilmu Pertanian Indonesia
Published by Institut Pertanian Bogor
ISSN : 08534217     EISSN : 24433462     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Artikel yang dimuat meliputi hasil-hasil penelitian, analisis kebijakan, dan opini-opini yang berhubungan dengan pertanian dalam arti luas, seperti agronomi, ilmu tanah, hama dan penyakit tanamam, ilmu kehewanan, kedokteran veteriner, keteknikan pertanian, teknologi industri, teknologi pangan, ilmu gizi, keluarga dan konsumen, biometri, biologi, klimatologi, peternakan perikanan, kelautan, kehutanan, dan sosial-ekonomi pertanian yang telah dipertimbangkan dan disetujui oleh Dewan Editor. Keterangan mengenai peralatan, pengamatan, dan teknik percobaan akan diterima sebagai artikel CATATAN. Pedoman Penulisan dicantumkan pada setiap terbitan tercetak. Indeks Penulisan dan subjek serta daftar penelaan (mitra bestari) dicantumkan di tiap nomor terakhir pada setiap volume.
Arjuna Subject : -
Articles 975 Documents
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Factors Determining the Performance of the Indonesian Agricultural Sector in the Era of Climate Change Syachbudy, Qiki Qilang; Syaukat, Yusman; Achsani, Noer Azam; Hidayat, Nia Kurniawati
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 3 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.3.490

Abstract

The agricultural sector plays a crucial role in Indonesia, serving as both a provider of food and a key driver of economic growth. This study aims to analyze the factors influencing Indonesia’s agricultural sector from 1981 to 2021, focusing on agricultural production and its economic value. Climate change has emerged as a critical issue affecting agriculture, with greenhouse gas emissions serving as proxies for measuring its impact. This study employs the Autoregressive Distributed Lag (ARDL) model to examine both short- and long-term relationships. The findings indicate that, in the long run, agricultural land area and economic growth significantly affect the agricultural sector. In the short term, agricultural land area, economic growth, and fertilizer usage are the key factors. However, climate change did not have a significant negative impact on agricultural decline. In contrast, fertilizer usage was positively correlated with agricultural production. These findings highlight the essential role of government policy in fostering agricultural sector development in Indonesia. Strategic initiatives should focus on ensuring an adequate fertilizer supply, expanding agricultural land, and promoting key economic sectors that drive growth and support agricultural sustainability. Keywords: agricultural sector, ARDL model, climate change, Indonesia
Severity and Incidence of Spodoptera frugiperda Attack on Maize Plants in Sleman District Aditia, Alek Firnanda; Putra, Ichsan Luqmana Indra
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 3 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.3.581

Abstract

Spodoptera frugiperda (Lepidoptera: Noctuidae) is an invasive pest of maize that has caused damage and economic losses to maize crops in Indonesia. Damage caused by its larvae can be seen from the incidence and level of damage to maize plants, especially in the leaves. This study aimed to analyze the severity and incidence of S. frugiperda larvae infestation on maize plants in Sleman Regency. The study was conducted on the vegetative phase of maize plants in Sleman District. Sampling locations were determined using the survey method, and the fields were using the stratified scheme. The maize fields used for sampling were decided by a purposive method. Calculation of incidence and damage level was done using the letter W scouting procedure. Data was analyzed with a correlation test to see the relationship between damage level and S. frugiperda incidence in the district. The highest damage level was found in Ngaglik Subdistrict with 51 infested plants with high damage, while the lowest was found in Minggir Subdistrict with 179 infested plants with low damage. The highest incidence rate was found in Seyegan (47.55%), and the lowest in Minggir Subdistrict (11.96%). The conclusion of this study is that S. frugiperda infestation has been found in Sleman Regency with low to severe infestation, while the incidence rate is low to moderate. Keywords: Maize, occurrence, severity, Sleman, Spodoptera frugiperda
Dry Land Entisol Chemical Properties and Pak Choi Response Upon Application of Tofu Waste LOF and Biochar Djata Ndua, Natalia Desy; Bria, Deseriana
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 3 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.3.605

Abstract

This study aimed to examine the changes in the chemical properties of dryland Entisols upon the application of liquid organic fertilizer (LOF) from tofu waste and biochar, especially the content of C-organic, total N, total P, and P2O5 (available P), and the yield of pak choi. This study used a completely randomized factorial design. The first factor was the dose of tofu waste LOF (100, 200, and 300 ml/L water) and the second factor was the type of biochar (soil+rice husk biochar, soil+sawdust biochar, soil+rice husk biochar+ sawdust biochar). The combination of tofu waste LOF (100 ml/L) and the mixture of rice husk biochar and sawdust biochar (1:1:1) resulted in the most significant increase in C-organic (7.37%), total N (0.61%), total P (178.01 mg/100 g), and P2O5 (157.23 ppm) compared to other treatments. However, at a high dose of tofu waste LOF (300 ml/L of water), the contents of C-organic, total N, total P, and P2O5 tended to decrease, presumably due to the low pH of the tofu waste LOF. In terms of plant parameters, rice husk biochar treatment was the best for increasing the fresh weight of the shoots. This indicates that the optimal combination of LOF and biochar improved the chemical properties of Entisol analyzed after harvesting but did not increase the yield of pak choi at the beginning of application. However, rice husk biochar alone provided the best results for pak choi as an indicator plant. Keywords: C-organic, nitrogen, phosphorus, soil fertility, Timor
Response of Pollen and Productivity of Rice Plants to the Application of Salicylic Acid under Drought Stress Purnamasari, Ika; Suparino, Balqis Widyastuti; Gusti, Angger Aisyah Hadiahning; Aurela, Rosalina Diva; Wijayanto, Yagus; Puspito, Agung Nugroho; Ubaidillah, Mohammad
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.819

Abstract

Rice plants (Oryza sativa) are among the most significant food crops in human life. Efforts to increase food production face a variety of challenges, including droughts. Drought stress is abiotic stress that has a significant impact on rice plant growth and development. Plants treated with salicylic acid are more resistant to water shortage. Salicylic acid influences plant growth in terms of weight, height, and grain yield. The use of salicylic acid may increase the weight of plant seedlings. The purpose of this study was to determine how rice plant productivity responds to the addition of salicylic acid during drought stress. The study was carried out in a greenhouse from August to December 2020 utilizing a Completely Randomized Design with two variables: plant variety and drought stress. The cultivars used were Indragiri, Mendawak, and IR64. The drought treatment factors were control, drought stress, and drought stress treated with salicylic acid. There were nine treatment combinations and three replications, totaling 27 experimental units. The data collected were analyzed using Analysis of Variance. If significant differences were discovered, the analysis was extended with Duncan's Multiple Range Test at a 95% confidence level. The findings revealed that both individual factors and their interactions had a substantial influence on various variables. The interaction factor had a substantial impact on pollen fertility, panicle length, number of full grains, weight per 1,000 grains, and yield potential. The rice variety had a substantial effect on pollen fertility, panicle length, number of filled grains, and yield potential, but not on the weight of 1000-grains. Keywords: drought stress, rice, salicylic acid
Sprout Test of Seven Types of Sumatran and Javan Rice with the Addition of Liquid Organic Fertilizer Herliyana, Elis Nina; Kultsum, Fifit; Sukma, Dewi; Hidayatullah, Deden; Munif, Abdul
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.787

Abstract

Rice productivity in Indonesia has declined due to a decrease in land area between 2018 and 2019. Another issue with rice seed dormancy is a reduction in productivity. Liquid organic fertilizer (LOF) is one way to overcome seed dormancy. The purpose of this study is to investigate the effect of soaking rice seeds in LOF on germination (viability), normal vigor of growing seeds (vigor), and germination rate. This study took place in the greenhouse and laboratory of the Department of Silviculture, Faculty of Forestry and Environment, IPB, from September to October 2022. Immersion procedures, planting, and data analysis were all steps in monitoring rice germination studies on four types of West Sumatra rice, one variety of West Java rice, and two varieties of rice from the Sukamandi Rice Research Centre. Soaking rice seeds in LOF affects their germination capacity and rate. Pandan Wangi had the maximum germination capacity and average seed count on filter paper medium, while Inpara 8 had the highest germination capacity and average seed count on vermicompost media with a 1:3 immersion. Anak Daro and Cikawasen had the fastest germination rates on filter paper media, whereas Pandan Wangi did the best on vermicompost media. Keywords: Liquid organic fertilizer, local rice, seed dormancy
Bioprospecting of Pectinase-Producing Bacteria from Marine Actinomycetes Hasanah, Neneng; Nadhifah, Hana; Rahayuningsih, Mulyorini; Atikana, Akhirta; Ratnakomala, Shanti; Lisdiyanti, Puspita; Rahmani, Nanik
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.689

Abstract

Pectinase is used in a variety of industries, including fruit juice production, textile processing, papermaking, biodegumming, coffee and tea manufacturing, medicines, feed, and nutraceuticals. The demand for pectinase enzymes grows year after year. Industrial applications require high-activity enzymes that can increase considerable product yields while also improving based on needs and byproduct use. Indonesia's industry continues to rely on imported pectinase enzymes. Indonesia, on the other hand, possesses megabiodiversity, particularly marine microorganisms, which have the potential to provide new enzymes with high activity for industrial applications. This work aims to undertake bioprospecting of marine actinomycetes producing pectinase enzymes that have the capacity to hydrolyze pectin polymer, both from commercial and biomass sources. A total of 20 marine actinomycetes isolates from sediment, seawater, and sponges were bioprospected, and one isolate was selected with high pectinase activity (BLH 1.20), which was then used to characterize pH, temperature, hydrolysis analysis on pectin polymers, and isolate identification using 16s rRNA analysis. The selected isolate (BLH 1.20) performed best in a sodium phosphate buffer with a pH of 6.0 and a temperature of 30°C, achieving an activity of 5.4 U/mL. The 16S rRNA analysis revealed that the isolate is from the genus Streptomyces and the species Streptomyces sampsonii. Keywords: bioprospecting, marine Actinomycetes, pectinase, Streptomyces sampsonii
The Impact of Fedtugrow® Downstreaming with SPR Integration in Central Lampung Regency Using SROI Dewi, Farida Ratna; Tarigan, Ronald; Satrija, Fadjar; Muladno, Muladno; Atabany, Afton; Wijayanti, Indah; Suprayogi, Agik
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.812

Abstract

The dissemination of research findings (innovation) in universities would have a social and economic impact on the larger community. IPB developed the depolarized katuk invention (known as Katulac), which was patented (P00201800110, Jan 5, 2018). IPB collaborated with the Local Government of Central Lampung Regency, PT Great Giant Livestock (GGL), and community farms named Hipermadani (downstreaming of university innovation for the community and farmers) in downstreaming Fedtugrow (innovation in combined livestock feed Katulac® and concentrate) to improve farmer welfare. Katulac®'s downstream innovation is the School for Smallholder Livestock Farming (Sekolah Peternakan Rakyat, SPR), an IPB innovation with copyright (EC00201987765, Nov 28, 2019). The Katulac® downstreaming initiative with SPR institutional integration resulted in a social investment of IDR 501,837,278 and a net social benefit of IDR1,488,959,391 for all stakeholders in the Hipermadani ecosystem. This program had a Social Return on Investment (SROI) of 2.97, which means that for every IDR 1 invested, it would deliver a social benefit of IDR 2.97, showing the program's success. Keywords: downstreaming, Hipermadani, innovation, Katulac, Social Return on Investment
Land Use Analysis Using Machine-Learning Based on Cloud Computing Platform Prasetyo, Syukur Toha; Rahman, Fahmi Arief; Suryawati, Sinar; Supriyadi, Slamet; Setiawan, Eko
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.765

Abstract

Land use analysis can provide a foundation for successful and efficient regional planning and environmental monitoring. The application of machine-learning on a cloud computing platform (Google Earth Engine, GEE) in land use analysis enables efficient and rapid processing of spatial data on a wide scale. It overcomes the constraints inherent in conventional approaches. The purpose of this study was to identify land use and estimate its level of accuracy using GEE and a Random Forest machine-learning method. The data utilized were the administrative boundaries of Bangkalan Regency (1:25,000) and Landsat 8 SR L2 C2 T1 satellite images from 2022. Satellite image analysis using the Random Forest algorithm on the GEE platform with the JavaScript API, including masking, cloud masking, class and sampling, training, and testing sample data. Land use study using the Random Forest algorithm yielded the following results in order of area: vegetation 65,040.39 ha (49.98%), agricultural land 31,817.16 ha (24.45%), settlements 20,578.05 ha (15.81%), open land 6,683.94 ha (5.14%), and water bodies 6,021.09 ha (4.63%). The accuracy test in GEE revealed an overall accuracy (OA) of 91.39% and a kappa score of 88.39%, or 0.88. At the same time, validation in the field gave an OA of 88.68% and a Kappa of 85.53%. The findings of this study can be applied to land use evaluation and fundamental decision-making. Keywords: land use, random forest, geographic information system, remote sensing
Transformation of the Agricultural Sector in Sulawesi Island: A Panel Data Approach Nur'aini, Lestari Gita; Endaryanto, Teguh; Affandi, Muhammad Irfan
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.773

Abstract

Technological revolutions, globalization, and complicated market dynamics have expedited the transformation of economic structures. This process is further influenced by the diversity of natural resources among regions, which drives economic development. In today's world, understanding economic change is critical for promoting long-term economic growth. The purpose of this study was to examine structural changes in the agriculture sector and its subsectors on Sulawesi Island, as well as the variables that affect them. The analytical approaches used include descriptive analysis of panel data processed with Microsoft Excel and panel data regression. The findings demonstrate that between 2010 and 2022, Sulawesi's agriculture industry lost 6.24% of its GDP contribution, as did all its subsectors. This decrease was complemented by a rise in the industrial sector's contribution of 5.43%. In the regression analysis, the fixed effect model (FEM) proved to be the best fit. Population density (X1) and the Indonesian democracy index (IDI) (X3) had a positive and significant influence on economic transformation, whereas farmers' terms of trade (FTT) (X4) and the number of people living in poverty (X5) had a negative and significant impact on Sulawesi's agricultural economy transformation. It is suggested that agribusiness operators vary processed products based on agricultural raw materials to aid and balance economic transition. Keywords: economic transformation, fixed effect model, panel data regression, sectoral GDP contribution, structural shift
The Added Value of Specialty Ground Coffee at Gunung Mas Jaya Agroindustry, Situbondo Regency Indriyani; Yekti, Gema Iftitah Anugerah; Suryaningsih, Yasmini
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.652

Abstract

Coffee is a key commodity in Indonesia's plantation subsector, offering prospects both locally and internationally. The rise in Indonesian coffee production over the last decade has coincided with shifts in people's coffee consumption habits. The expansion of coffee shops and cafés in Indonesia has had a considerable impact on coffee demand, especially for processed coffee products. This creates an opportunity for coffee producers and the coffee agroindustry to supply high-value-added coffee goods, such as specialty coffee powder created by Gunung Mas Jaya Agroindustry. The purpose of this study was to assess the value added of specialty coffee powder at Gunung Mas Jaya. The descriptive-quantitative technique employed both primary and secondary data sources. Respondents were chosen using purposive sampling at Gunung Mas Jaya Agroindustry. The Hayami approach was used in data analysis to calculate value-added. The analysis results suggest that the value added of specialty ground coffee is 87.56%, placing it in the top category (VA > 50%). The profit rate for specialty ground coffee is 98.08%, showing that it has a lot of room for growth due to its high profitability. Keywords: agroindustry, Hayami Method, specialty ground coffee, value added

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