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Effects of Ethylene Degreening on Peel Color, Physical Quality, and Chemical Content of Ambon Kuning (Musa acuminata Colla) Ardhianata Triasmoko; Anggoro Cahyo Sukartiko; Nafis Khuriyati
Agroindustrial Journal Vol 8, No 1 (2021)
Publisher : APTA and DTIP FTP UGM

The natural ripening of ambon kuning, a typical banana widely consumed in Indonesia, tends to produce a non-uniform yellowish peel color of the fruits. Some degreening techniques using calcium carbide or ethepon, although improving the peel color appearance, may pose a safety risk compared to ethylene degreening, a technique using ethylene gas, a gas naturally produced by the fruit. This study aimed to determine the effect of ethylene degreening on changes in peel color, physical quality, and chemical content of ambon kuning and determine the combination of treatment that produces the best results. Taguchi design, with two levels for each of the three treatment factors (ethylene gas concentrations of 185.2 and 277.8 ppm, storage temperatures of 16±1 and 29±1 °C, and gas exposure time of 48 and 72 hours) was applied to banana samples stored in a hermetic bag in a temperature-controlled container. Grey Relational Analysis (GRA) was applied to get the best results considering multiple performance measures: peel color (measured as lightness L*-, green -a*-, and yellow b*-values), hardness of peel and pulp, total dissolved solids, total chlorophyll, and total carotenoids contents. The best results were obtained when degreening was carried out with a gas concentration of 185.2 ppm at a storage temperature of 16±1 °C for 48 hours.

Standardization Eﬀorts for Ayam Goreng Kalasan Industry Cluster Through a Partnership Between the University and Local Government to Maintain its Local Wisdom Sukartiko, Anggoro Cahyo; Supartono, Wahyu; Zaidir, Zaidir; Neisyafitri, Rendayu Jonda; Setiyono, Rahmat
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 10, No 3 (2024): September
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpkm.90990

A community service partnership is carried out between a university and a local government to standardize processes and products produced by the Ayam Goreng Kalasan industry cluster. Eﬀorts are made through a series of focused discussion activities, knowledge sharing, and material provision, as well as training and mentoring on aspects of standardization, product diversiﬁcation,and promotion toward marketing with a broader scope. The ﬁrst three stages were carried out with the involvement of local government. The results of the community service implementation were measured using a comparison of knowledge of business actors before and after the implementation of the activities. A total of 31 business actors, as members of the Ayam Goreng Kalasan Maju Makmur industry cluster, have participated in this activity. Increased knowledge is observed in all aspects: standardization, diversiﬁcation, management, and marketing. The collaboration between the university and the local government, therefore, can increase the participation of business actors, accelerate the required standardization and certiﬁcation process, and further increase the possibility of sustainability of cluster business development.

Crust Goat Leather Dyeing using Mahogany (Swietenia mahagoni) Sawdust Extract and Coloring Time to Get the Best Results Rahmawati, Dona; Wagiman, Wagiman; Sukartiko, Anggoro Cahyo
Jurnal Ilmu dan Teknologi Peternakan Tropis Vol 10, No 1 (2023): JITRO, January
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jitro.v10i1.27982

Synthetic dyes used in the leather dyeing process contain allergenic and carcinogenic compounds. Natural dyes sourced from wood industry waste, namely mahogany sawdust can be a substitute for synthetic dyes with the advantages of being more economical, minimizing waste, and relatively safe for the environment. This study aims to determine the effect of the comparison of mahogany sawdust with hot water solvent and the duration of dyeing time on the characteristics of the extract and the best results of dyeing application on crust goat leather, using a Completely Randomized Factorial Design with 2 (two) factors and 3 (three) levels respectively. The first factor is the ratio of mahogany sawdust with solvent during Extraction, 1:5; 1:10 and 1:15 (w/v) and the second factor is the duration of dyeing time, 60, 90 and 120 minutes, each with two repetitions. Data analysis used ANOVA analysis of variance. This research activity resulted in a comparison of mahogany sawdust and water solvent with the best duration of dyeing time in producing colored goat leather products with the criteria of color absorption, rub fastness (wet and dry) and color shading. The results showed the analysis of the highest extract tannin content was 7,66 µg/mL at 1:5 (w/v) extract. The highest color absorption was in the dye extract 1:5 (w/v) and the lowest was in the dye extract 1:15(w/v), both at 60 minutes, 90 minutes, and 120 minutes. All natural dyes from mahogany sawdust showed good color fastness values with a scale above 3/5. The visual result of the dyeing process is reddish brown. Keywords: goat leather, mahogany sawdust, natural dyes, tannin

Klasifikasi asal geografis kopi bubuk liberika tungkal Jambi dan Probolinggo menggunakan near-infrared spectroscopy (NIRS) dan principal component analysis (PCA) Ikhsan Nurdziky; Anggoro Cahyo Sukartiko; Nafis Khuriyati
AGROINTEK Vol 19, No 2 (2025)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v19i2.25131

Regional origin classification of Geographical Indication (GI) products is necessary for their authentication purpose. Among others, coffee is Indonesia's largest GI group, with Liberica being the least studied. This study aims to classify the geographical origin of dry- and honey-processed Liberica Tungkal Jambi ground coffee, which has been certified and dry-processed Liberica Probolinggo, which has the potential to be certified in the future. A total of 12 samples were tested using Near-Infrared Spectroscopy (NIRS). Spectrum data were analyzed using Principal Component Analysis (PCA) with various preprocessing spectral data, including Multiplicative Scatter Correction (MSC), Baseline, and Detrending. The results showed the ability of the combination of NIRS and PCA to classify three groups of coffee samples, namely: dry-processes Liberica Tungkal Jambi ground coffee, honey-processed Liberica Tungkal Jambi ground coffee, and dry-processed Liberica Probolinggo ground coffee, with the success rate ranged between 88 to 99%. Detrending was the most effective preprocessing for visualizing the classification. The result illustrates the great potential of near-infrared (NIR) spectroscopy in classifying the geographical origin of Liberica ground coffee.

Risk Mitigation Analysis of Wet Cocoa Beans Supply Chain in North Luwu Regency Kamal, Winda; Kristanti, Novita Erma; Sukartiko, Anggoro Cahyo
agriTECH Vol 45, No 2 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.86297

Cocoa in North Luwu Regency is contributing greatly to the improvement of the economy. However, different factors have caused a decrease in the amount of production since 2019 and farmers mostly sell cocoa as wet beans. Therefore, this research aimed to reduce the impact of risk on the supply chain of North Luwu wet cocoa beans through Supply Chain Risk Management, which included the stages of mapping, risk identification, analysis, and mitigation. The results showed that the supply chain flow map was obtained by tracing and identifying the tiers using snowball sampling method. Subsequently, the list of risk for each tier was identified and assessed for the likelihood, severity, and detection levels through in-depth interviews using 5 Likert scales. Data analysis was also carried out by determining the mapping matrix in avoid, transfer, manage, and appetite risk, as well as assessing the Risk Priority Number (RPN). Avoid risk and those with a high RPN value were priorities in preparing mitigation. The stages considered were the interview and group discussion with risk owners and experts. Meanwhile, the flows of the wet cocoa bean supply chain were identified. In the farmer tier, 8 risks, 10 collectors, 9 cooperatives, and 9 industries were reported. High rainfall, classified as avoid risk, had the highest RPN value. This risk was identified in almost all tiers and mitigated through irrigation improvements, reservoir construction, and planting new adaptive clones.

Risk Mitigation of Fresh Milk Supply Chain Based on Vulnerability Analysis in Boyolali Regency, Indonesia Annisa, Warastra Nur; Guritno, Adi Djoko; Sukartiko, Anggoro Cahyo
agriTECH Vol 45, No 1 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.85945

Fresh milk in Boyolali Regency is currently unable to meet the demand of the processing industry because the quantity is limited and the quality is below the standard. The large number of activities at each tier and the long supply chain flow for fresh milk have the potential to cause a decrease in quality and quantity, making it vulnerable to risk. Therefore, this research aimed to analyze risk management in supply chain and provide mitigation proposals. Data were collected by in-depth interviews with 51 respondents using purposive and snowball sampling techniques. The variables examined include supply chain flow of fresh milk, risks at each tier, causes and impacts of risks, as well as likelihood, severity, and capacity to manage risk. Data processing used ISO 31000:2018 and the Rapid Agricultural Supply Chain Risk Assessment (RapAgRisk) method to assess risk vulnerability. The results showed that in Boyolali Regency, fresh milk supply chain consists of four tiers, namely farmers, as well as milk couriers, collectors, and processors, comprising processing industry and street vendors. Mitigation proposals were given for nine risks in the categories of high, moderate, and low vulnerability. These risks include high animal feed prices, low forage availability, cows being attacked by foot and mouth disease (FMD), adulteration of fresh milk, the amount of fresh milk received by couriers and collectors fluctuating, rejection, sudden demand, and excess stock of fresh milk. Subsequently, risk mitigation proposals were provided to maintain quality and increase fresh milk production.

Klasifikasi asal geografis kopi bubuk liberika tungkal Jambi dan Probolinggo menggunakan near-infrared spectroscopy (NIRS) dan principal component analysis (PCA) Ikhsan Nurdziky; Anggoro Cahyo Sukartiko; Nafis Khuriyati
AGROINTEK Vol 19, No 2 (2025)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v19i2.25131

Regional origin classification of Geographical Indication (GI) products is necessary for their authentication purpose. Among others, coffee is Indonesia's largest GI group, with Liberica being the least studied. This study aims to classify the geographical origin of dry- and honey-processed Liberica Tungkal Jambi ground coffee, which has been certified and dry-processed Liberica Probolinggo, which has the potential to be certified in the future. A total of 12 samples were tested using Near-Infrared Spectroscopy (NIRS). Spectrum data were analyzed using Principal Component Analysis (PCA) with various preprocessing spectral data, including Multiplicative Scatter Correction (MSC), Baseline, and Detrending. The results showed the ability of the combination of NIRS and PCA to classify three groups of coffee samples, namely: dry-processes Liberica Tungkal Jambi ground coffee, honey-processed Liberica Tungkal Jambi ground coffee, and dry-processed Liberica Probolinggo ground coffee, with the success rate ranged between 88 to 99%. Detrending was the most effective preprocessing for visualizing the classification. The result illustrates the great potential of near-infrared (NIR) spectroscopy in classifying the geographical origin of Liberica ground coffee.

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