PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY
Plant Factory (PF) is an environmentally controlled food production facility that releases the cultivation limit of the seasonal and climate conditions. By introducing contract farming system in PF, PF-customers (i.e. business owners namely restaurants and food retails) can rent spaces in PF and sch...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| _version_ | 1797036053805137920 |
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| author | , NATALIA A. TOMBOKAN , Nur Aini Masruroh, S.T., M.Sc., Ph.D. |
| author_facet | , NATALIA A. TOMBOKAN , Nur Aini Masruroh, S.T., M.Sc., Ph.D. |
| author_sort | , NATALIA A. TOMBOKAN |
| collection | UGM |
| description | Plant Factory (PF) is an environmentally controlled food production facility
that releases the cultivation limit of the seasonal and climate conditions. By
introducing contract farming system in PF, PF-customers (i.e. business owners
namely restaurants and food retails) can rent spaces in PF and schedule the crop
production. Moreover, an internal barter system is integrated to allow the
exchange of crops scheduled by renters. In this research, a new system called
Contract Farming in Plant Factory (CFPF) is proposed to accommodate the Farmto-
Fork food supply along with accommodating the crop barter system. The CFPF
system facilitates renters to rent spaces and conduct the crop barter by signing a
contract with PF. In this research, a sorting mechanism is proposed to search for
barter pairs based on the renters� farming schedules. The objective of the barter
system is to minimize the value discrepancy of each barter pair. Four models with
different barter constraints are investigated by developing an automatic barter
framework using two algorithms, namely Hungarian Algorithm (HA) which
integrates Hungarian method with the sorting mechanism and Heuristic Searching
Algorithm (HSA). The simulation results suggest when PF tried to accommodate
more diverse renters� preferences, HA generated more number of barter pairs,
while HSA generated lower summation of value discrepancy providing fairer
barter pairs. Another finding, the proposed automatic barter framework can
enhance the crop diversity to the renters. In conclusion, the simulation results can
be used to determine the implementation of barter mechanism when different
barter contract designs of the CFPF are applied. |
| first_indexed | 2024-03-13T23:40:04Z |
| format | Thesis |
| id | oai:generic.eprints.org:133691 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:40:04Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1336912016-03-04T08:03:01Z https://repository.ugm.ac.id/133691/ PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY , NATALIA A. TOMBOKAN , Nur Aini Masruroh, S.T., M.Sc., Ph.D. ETD Plant Factory (PF) is an environmentally controlled food production facility that releases the cultivation limit of the seasonal and climate conditions. By introducing contract farming system in PF, PF-customers (i.e. business owners namely restaurants and food retails) can rent spaces in PF and schedule the crop production. Moreover, an internal barter system is integrated to allow the exchange of crops scheduled by renters. In this research, a new system called Contract Farming in Plant Factory (CFPF) is proposed to accommodate the Farmto- Fork food supply along with accommodating the crop barter system. The CFPF system facilitates renters to rent spaces and conduct the crop barter by signing a contract with PF. In this research, a sorting mechanism is proposed to search for barter pairs based on the renters� farming schedules. The objective of the barter system is to minimize the value discrepancy of each barter pair. Four models with different barter constraints are investigated by developing an automatic barter framework using two algorithms, namely Hungarian Algorithm (HA) which integrates Hungarian method with the sorting mechanism and Heuristic Searching Algorithm (HSA). The simulation results suggest when PF tried to accommodate more diverse renters� preferences, HA generated more number of barter pairs, while HSA generated lower summation of value discrepancy providing fairer barter pairs. Another finding, the proposed automatic barter framework can enhance the crop diversity to the renters. In conclusion, the simulation results can be used to determine the implementation of barter mechanism when different barter contract designs of the CFPF are applied. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , NATALIA A. TOMBOKAN and , Nur Aini Masruroh, S.T., M.Sc., Ph.D. (2014) PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74460 |
| spellingShingle | ETD , NATALIA A. TOMBOKAN , Nur Aini Masruroh, S.T., M.Sc., Ph.D. PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY |
| title | PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY |
| title_full | PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY |
| title_fullStr | PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY |
| title_full_unstemmed | PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY |
| title_short | PENGEMBANGAN SISTEM BARTER OTOMATIS PADA APLIKASI CONTRACT FARMING DI PLANT FACTORY |
| title_sort | pengembangan sistem barter otomatis pada aplikasi contract farming di plant factory |
| topic | ETD |
| work_keys_str_mv | AT nataliaatombokan pengembangansistembarterotomatispadaaplikasicontractfarmingdiplantfactory AT nurainimasrurohstmscphd pengembangansistembarterotomatispadaaplikasicontractfarmingdiplantfactory |