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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.

Co-Authors Agung Putra Pamungkas Anandya Vanessa Isnidayu 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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