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All Journal Agrointek Jurnal Tanaman Industri dan Penyegar Jurnal Teknologi Pertanian JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) agriTECH Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Industria: Jurnal Teknologi dan Manajemen Agroindustri Journal of Industrial and Information Technology in Agriculture Agroindustrial Journal

Anggoro Cahyo Sukartiko

Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada

Author-ID : 4071492

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences Veterinary Other

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Fatty Acid Composition of Cocoa Beans from Yogyakarta Special Region for the Establishment of Geographical Origin Discriminations Retno Utami Hatmi; Makhmudun Ainuri; Anggoro Cahyo Sukartiko
agriTECH Vol 41, No 1 (2021)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

The composition of fatty acids in cocoa beans, which affect the characteristics of the processed products, is dependent on the geographic location. This research aimed to identify the fatty acid composition of cocoa beans from the Special Region of Yogyakarta (Patuk Gunungkidul and Kalibawang Kulon Progo), used as a geographical origin discrimination parameter. The data were analyzed using ANOVA and Partial Least Square – Discriminant Analysis (PLS-DA). The results showed that the composition from Patuk Gunungkidul and Kalibawang Kulon Progo were dominated by stearic (35.23%), oleic (33.12%), and palmitate acids (27%). The developed method combined with PLS-DA was successfully employed the fatty acid composition to discriminate the geographic origin of cocoa beans in the Special Region of Yogyakarta.

A Multidimensional Approach in Assessing Geographical Indication Product Sustainability: Salak Pondoh Sleman Rizky Brisha Nuary; Mochammad Maksum; Anggoro Cahyo Sukartiko
agriTECH Vol 42, No 1 (2022)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Salak Pondoh Sleman (SPS) is an exotic fruit which has geographical indication certification, a sign indicating the unique characteristics inherent in a product due to the influence of its geographical origin. Its unique characteristics can only be found in certain areas. Thus, it is necessary to consider the concept of sustainable agricultural development of the product, involving several dimensions such as environmental, organizational, and technological. The study aimed to assess the sustainability of SPS as a product with geographical indication certification and identify the most influential sustainability attributes in the selected dimensions. A rapid appraisal method of the multidimensional scaling technique was performed to achieve the objective of this study, further mentioned as RAPSalacca. The result showed that the sustainability level of SPS plantation system was classified as ‘quite sustainable,’ with a sustainability index of 59.83. Furthermore, the sustainability analysis of the selected dimensions denoted the important attributes to the sustainability in each dimension, which is further explained in this paper.

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.

Co-Authors Adi Djoko Guritno, Adi Djoko Agung Putra Pamungkas Anandya Vanessa Isnidayu Annisa, Warastra Nur Ardhianata Triasmoko Arita Dewi Nugrahini Cecilia Desvita Ratna Elvandari Dona Rahmawati, Dona Hildha Nurmalasari Dewi Ikhsan Nurdziky Kamal, Winda Kharisma Husna Wirasti Makhmudun Ainuri Mochammad Maksum Muhammad Prasetya Kurniawan Nafis Khuriyati Neisyafitri, Rendayu Jonda Novita Erma Kristanti Pembina Purba Pipit Dwi Puspitasari Putri, Yolanda Reptami Retno Utami Hatmi Retno Utami Hatmi Rizky Brisha Nuary Rizky Brisha Nuary Setiyono, Rahmat Wagiman, Wagiman Wahyu Supartono Zaidir

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