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Perubahan beberapa sifat kimia tanah pada lahan gambut setelah dua tahun Kebakaran di Kubu Raya Kalimantan Barat Arief Hartono; Omo Rusdiana; Heru Bagus Pulunggono; Denis Muba Pandapotan Simanihuruk; Ilham Saputra
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 12 No 4 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.12.4.644-650

Peatland fire that occurred in 2018 are located in Kubu Raya Regency, West Kalimantan. The fire was claimed to cause the changes leading to peatland damage. The initial study based on samples collected in fire period reported that there were some changes of chemical properties leading to peatland damage. The study aimed to evaluate the effect of land fires on changes in some soil chemical properties after two years of fires. Soil samples of fired and unfired peatland were subjected to soil analyses. Soil analyses covered soil pH, organic carbon (C), phosphorus (P), calcium (Ca), magnesium (Mg), potassium (K), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), and bulk density (BD). The results showed that after two years of peatland fires did not affect the changes of peat soil pH, organic C, P, Ca, Mg, K, Cu, Zn, Mn and BD. One plot of fired peatland showed that the weight of frond and leaf area of oil palm grown on it was not statistically different from those of unfired peatland. The results suggested some chemical properties return to previous equilibrium due to high buffering capacity of peat soil.

Managing Movement of Returning Rice Straw into Soil (RRIS): A Solution to Land Degradation Mimin Aminah; Muhammad Firdaus; Arief Hartono; Gelar Satya Budhi
Jurnal Sumberdaya Alam dan Lingkungan Vol 9, No 3 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jsal.2022.009.03.5

Concern on rice production in Indonesia is escalating since the production of rice tends to be levelling off for more than a decade. Soil degradation in lowland is among the main challenges. Soil encounters continuous decreasing organic matter and organic carbon content because the biomass from the rice plants was not returned to the land sufficiently. Most of the biomasses went out of the land or were burned by rice producers since there was not enough time to decompose the biomass before returning into the soil of lowland or it need additional cost to do so. Most farmers preferred to return the rice straw after burning, but it will not improve the condition. Otherwise, burning of rice straw caused air pollution since it released at least three kg particulate matter consisting of CO, SO2, CO2, and ash. Using interpretive structural modeling (ISM) this paper is trying to find the important factors with sequential solution. The result shows that encouraging rice producers to return rice straw into soil (RRIS) should start with Provision of Immediate Decomposing Technology and assistance program and Credit and Assistance Program.Keywords : managing soil degradation, organic matter, rice straw, ISM

Soil potassium adsorption at several shallot center areas, Brebes Regency, Central Java Province Arief Hartono; Desi Nadalia; Bambang Hendro Trisasongko
Journal of Degraded and Mining Lands Management Vol 10, No 4 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.104.4737

Brebes Regency, Central Java, is one of Indonesia's most important shallot production center implementing intensive agriculture. In the bulb production, K is needed more than other nutrients. This study aimed to assess and describe the adsorption characteristics of K on the soils of the shallot farming system in Brebes District, Central Java. Soil samples were collected at several locations in the shallot center areas of Brebes Regency, Central Java Province. The observed soil properties included pH H2O, EC, soil texture, organic C, potential-K, exchangeable Ca, Mg, Na, and K, CEC, exchangeable Al and H, and water-soluble K. K adsorption was simulated by the Freundlich equation. The proportion of K from low to high of retention energy in the soil studied had the order, namely water-soluble K<exchangeable K<potential-K. The K adsorption result showed that the soil had a high capacity to adsorb K. It indicated that added K was accumulated in the soil. The high capacity to adsorb K indicated that K accumulated in Brebes with continuous K fertilization. This research recommended that to increase the efficiency of K fertilizer, it is necessary to introduce the technology to mine K in Brebes soils like bacteria capable of dissolving K or biofertilizers.

Soil potassium adsorption at several shallot center areas, Brebes Regency, Central Java Province Arief Hartono; Desi Nadalia; Bambang Hendro Trisasongko
Journal of Degraded and Mining Lands Management Vol. 10 No. 4 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.104.4737

Brebes Regency, Central Java, is one of Indonesia's most important shallot production center implementing intensive agriculture. In the bulb production, K is needed more than other nutrients. This study aimed to assess and describe the adsorption characteristics of K on the soils of the shallot farming system in Brebes District, Central Java. Soil samples were collected at several locations in the shallot center areas of Brebes Regency, Central Java Province. The observed soil properties included pH H2O, EC, soil texture, organic C, potential-K, exchangeable Ca, Mg, Na, and K, CEC, exchangeable Al and H, and water-soluble K. K adsorption was simulated by the Freundlich equation. The proportion of K from low to high of retention energy in the soil studied had the order, namely water-soluble K<exchangeable K<potential-K. The K adsorption result showed that the soil had a high capacity to adsorb K. It indicated that added K was accumulated in the soil. The high capacity to adsorb K indicated that K accumulated in Brebes with continuous K fertilization. This research recommended that to increase the efficiency of K fertilizer, it is necessary to introduce the technology to mine K in Brebes soils like bacteria capable of dissolving K or biofertilizers.

Rhizosphere microbial functional traits associated with basal stem rot suppression in oil palm (Elaeis guineensis) EVAN PURNAMA RAMDAN; GIYANTO GIYANTO; ARIEF HARTONO; SRI HENDRASTUTI HIDAYAT; WIDODO WIDODO
Asian Journal of Agriculture Vol. 10 No. 1 (2026)
Publisher : Smujo International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/asianjagric/g100105

Abstract. Ramdan EP, Giyanto, Hartono A, Hidayat SH, Widodo. 2026. Rhizosphere microbial functional traits associated with basal stem rot suppression in oil palm (Elaeis guineensis). Asian J Agric 10 (1): g100105. https://doi.org/10.13057/asianjagric/g100105. This study aimed to investigate the abundance, diversity, and functional characteristics of rhizospheric microbial communities associated with different levels of Basal Stem Rot (BSR) disease incidence in oil palm plantations, with the understanding that the observed relationships represent associations rather than causal effects. Rhizospheric microbial communities play an essential role in soil health and disease suppression in oil palm plantations. Fifteen composite soil samples were collected from three field blocks with low, moderate, and high BSR incidence in the Rejosari Unit, PT Perkebunan Nusantara VII, Lampung, Indonesia. Microbial populations were quantified using standard plate counts, while diversity indices were assessed using the Shannon-Wiener, evenness, and dominance indices based on morphospecies counts. The results showed that total microbial, bacterial, and fungal populations were significantly higher in soils with low disease incidence (4.99×10⁷, 4.94×10⁷, and 5.18×10⁵ CFU g-¹, respectively) compared to moderate and high categories. Soils with low BSR incidence also exhibited greater microbial and bacterial diversity (H′=1.07 and 0.74) and lower dominance, indicating a more balanced community structure. Non-pathogenic, antagonistic, and Volatile Organic Compound (VOC)-producing microbes predominated in low-incidence soils, contributing to natural disease suppression. LASSO regression identified VOC-producing and antagonistic microbes as predictors associated with BSR incidence, whereas correlation analysis revealed a significant negative association only for VOC-producing microbes (r=-0.60, p=0.02). Nitrogen-fixing microbes were positively associated with disease severity (r=0.63, p=0.01). Although causality was not tested, the results suggest that reduced BSR incidence was more closely associated with specific functional microbial groups, particularly VOC-producing microbes, than with overall microbial abundance or diversity, emphasizing that soil management strategies that support beneficial functional microbial groups may contribute to enhanced soil resilience.

Modeling the activity ratio of soil potassium using machine learning approach Desi Nadalia; Arief Hartono; Heru Bagus Pulunggono; Bambang Hendro Trisasongko; Widiatmaka Widiatmaka; Muhammad Fuady Emzir
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 22, No 2 (2025): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v22i2.100102

The potassium (K) Quantity-Intensity (Q-I) relationship results in important parameters, including the activity ratio of potassium at equilibrium (AReK), which indicates potassium availability in soil. Experiments to observe soil Q-I K relationship parameters are often complex, time-consuming, and do not include environmental variables. This research aims to model AReK using a machine learning (ML) approach. ML models applied are Random Forest (RF), Cubist, and Support Vector Machine (SVM) as the primary approaches, with Multiple Linear Regression (MLR) serving as a baseline. The dataset was derived from sixty-one observation points in Brebes, Central Java. The predictors were pH, organic carbon, clay, cation exchange capacity (CEC), exchangeable cations (Exc-Ca, Mg, K, Na), water soluble K, available K, K saturation, potential K, non-exchangeable K (NE-K), elevation, and slope. The response variable was the AReK. Variable selection was performed using Pearson correlation to eliminate highly correlated predictors and reduce multicollinearity. Exactly 75% of the data was utilized as the training set and 25% as the test set. Three metrics, i.e., MAE, RMSE, and R², were used in model evaluation. The results showed that the Cubist model could predict AReK with high accuracy (R2=0.9437) and low RMSE (0.5701) and MAE (0.3514). Based on the Cubist model, Exc-K, Exc-Mg, CEC, and Exc-Ca were the most important variables for predicting AReK. This model can be employed to support site-specific fertilizer recommendation strategies. To improve the performance of the model, it is necessary to add other predictor variables (e.g., soil physical properties, clay minerals, rainfall, temperature and soil moisture).

Phenotypic plasticity of eddoe and dasheen taro genotypes in response to saturated water and dryland cultivations Careca Sepdihan Rahmat Hidayatullah; edi Santosa; Didy Sopandie; Arief Hartono
Biodiversitas Journal of Biological Diversity Vol. 21 No. 10 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d211012

Abstract. Hidayatullah CSR, Santosa E, Sopandie D, Hartono A. 2020. Phenotypic plasticity of eddoe and dasheen taro genotypes in response to saturated water and dryland cultivations. Biodiversitas 21: 4550-4557.  The phenotypic plasticity of dasheen and eddoe taro genotypes was evaluated based on growth and yield characters to select proper genotypes in response to climate change. The study was conducted at the Leuwikopo Experimental Farm, Bogor, Indonesia from May to October 2019. Dasheen (Talas Sutra and Talas Bentul) and eddoe genotypes (S28 and S19) were planted in saturated water cultivation (SWC) and dryland cultivation (DC). DC relied on rainwater, and SWC was manipulated dryland by flooding. SWC promoted vigorous growth and tuber weight, irrespective of genotypes. Increasing taro biomass production in SWC was supported by higher photosynthetic rate, leaf number, and size. Dasheen genotypes produced higher tuber weight than the eddoe in SWC, conversely, the eddoe tended to produced heavier tuber than the dasheen in DC; indicating phenotypic plasticity is strongly affected by soil moisture and genotype. The dasheen had more plastic growth and yield characters to soil moisture than the eddoe genotypes, with plasticity level, ranging from low to very high. Taro had high resiliency to multiple abiotic stresses, e.g. flood, and drought. Considering the marketable value of the yield, dasheen and eddoe genotypes are recommended in flooding and drought-prone areas, respectively.

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