Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Eneng Tita Tosida, Fajar Delli Wihartiko, Indra Permana Solihin, Aziz Kustiyo, Akbar Sugih Miftahul Huda

Judul : Preliminary Study of Palm Smart Transportation : Case of Sei Tandun â€“ Sei Rokan District PT Perkebunan Nusantara V Indonesia

Abstrak :
The problem of chain losses in transportation process of Fresh Fruit Bunches (FFB)'s PT Perkebunan Nusantara V Indonesia, predicted increase. The main objective of this preliminary study is to build the smart transportation concept of FFB. This concept is built based on problems that are assumed under certain conditions, by integrating automatic measurement of FFB yields, because it is measured using a weight sensor installed at the FFB collection point and proceed to the palm oil processing mill. The measurement results will be communicated by IoT to the trucking station so that the capacity and number of trucks can be calculated precisely. The number of transport trucks will determine the optimal route with the genetic algorithm. This optimal route will serve as a guideline for unmanned trucks to move in harmony according to data input that is automatically read from the palm oil plantation environment, through data communication with IoT.

Tahun : 2020 Media Publikasi : Prosiding

Kategori : Prosiding No/Vol/Tahun : 28 / 20 / 2020

ISSN/ISBN : 978-1-7281-9167-6

PTN/S : Universitas Pakuan Program Studi : ILMU KOMPUTER

Bibliography :
[1] H. Thaheer and S. Hasibuan, “Strategi Mitigasi Resiko Keamanan Rantai Pasokan Tandan Buah Segar Pabrik Kelapa Sawit Menggunakan Pendekatan Fuzzy dan ISO 28001,” J. Ilm. Tek. Ind.,
vol. 18, no. 2, pp. 192–202, 2019, doi: 10.23917/jiti.v18i2.8377.

[2] S. B. I. N. Ibrahim, “Transportation Optimization Model of Palm Oil Products for Northern Peninsular Malaysia,” Universiti Sains Malaysia, 2008.

[3] A. Miftah and B. S. Kusmuljono, “Modelanalisis Geo-Spasial Penentuan Jalur Transportasi Industri Crude Palm Oilmenggunakan Algoritma Djikstra,” INASEA, vol. 13, no. 1, pp. 1–11, 2012.

[4] C. Theeraviriya, R. Pitakaso, K. Sillapasa, and S. Kaewman, “Location decision making and transportation route planning considering fuel consumption,” J. Open Innov. Technol. Mark. Complex., vol. 5, no. 2, 2019, doi: 10.3390/joitmc5020027.

[5] U. Tarigan, R. F. Sidabutar, U. P. P. Tarigan, and A. Chen, “Analysis of Optimal Transport Route Determination of Oil Palm Fresh Fruit Bunches from Plantation to Processing Factory,” J. Phys. Conf. Ser., vol. 1007, no. 1, 2018, doi: 10.1088/1742-6596/1007/1/012028.

[6] X. Guan, B. Yang, C. Chen, W. Dai, and Y. Wang, “A comprehensive overview of cyber-physical systems: From perspective of feedback system,” IEEE/CAA J. Autom. Sin., vol. 3, no. 1, pp. 1–14, 2016, doi: 10.1109/JAS.2016.7373766.

[7] S. Balaji, “Waterfall vs v-model vs agile : A comparative study on SDLC,” WATEERFALL Vs V-MODEL Vs Agil. A Comp. STUDY SDLC, vol. 2, no. 1, pp. 26–30, 2012.

[8] J. P. Dias and H. S. Ferreira, State of the Software Development LifeCycle for the Internet-of-Things. 2018.

[9] B. Liu, Vehicle routing problem, vol. 239. 2009.

[10] M. T. Sembiring, M. Z. Hadi, J. Tanuwijaya, and I. Budiman, “A shortest route metaheuristic method for oil palm Fresh Fruit Bunch (FFB) transportation based on genetic algorithm: A case study in PTPN III Indonesia,” MATEC Web Conf., vol. 197, 2018, doi: 10.1051/matecconf/201819714011.

[11] Y. Arkeman, Y. Herdiyeni, I. Hermadi, and Gibtha fitri laxmi, “Algoritma Genetika Tujuan Jamak.Pdf.” p. 9, 2014.

[12] A. E. Eiben, Z. Michalewicz, M. Schoenauer, and J. E. Smith, “Parameter control in evolutionary algorithms,” Stud. Comput. Intell., vol. 54, no. 2, pp. 19–46, 2007, doi: 10.1007/978-3-540-69432-8_2.

[13] B. M. J. Griffor Edward R., Greer Christopher, Wollman David A., “Framework for Cyber-Physical Systems : Volume 1,” Nist, vol. 1, no. 1, p. 79, 2017, [Online]. Available:
https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1500201.pdf.

[14] S. C. Suh, U. J. Tanik, J. N. Carbone, and A. Eroglu, “Applied cyberphysical systems,” Appl. Cyber-Physical Syst., vol. 9781461473, pp. 1–253, 2014, doi: 10.1007/978-1-4614-7336-7.

[15] BPS-Statistics Indonesia, “The Result of Inter-Census Agricultural Survey 2018,” Jakarta, 2018.

[16] E. F. Yandra, B. P. Lapanporo, and M. I. Jumarang, “Rancang Bangun Timbangan Digital Berbasis Sensor Beban 5 Kg Menggunakan Mikrokontroler Atmega328,” Positron, vol. 6, no. 1, pp. 23–28, 2016, doi: 10.26418/positron.v6i1.15924.

[17] B. Martin et al., “Advancing Autonomous Systems An Analysis of Current and Future Technology for Unmanned Maritime Vehicles,” CA RAND Corp., 2019, [Online]. Available:
https://www.rand.org/pubs/research_reports/RR2751.html.

URL : https://ieeexplore.ieee.org/document/9354302/metrics#metrics

Document

back

@official_unpak	@unpak
@unpak	UNPAK TV

Welcome Repository Universitas Pakuan

Student's Achievments

Unggul, Mandiri & Berkarakter

Detail Karya Ilmiah Dosen

Eneng Tita Tosida, Fajar Delli Wihartiko, Indra Permana Solihin, Aziz Kustiyo, Akbar Sugih Miftahul Huda

Judul	:	Preliminary Study of Palm Smart Transportation : Case of Sei Tandun â€“ Sei Rokan District PT Perkebunan Nusantara V Indonesia
Abstrak	:	The problem of chain losses in transportation process of Fresh Fruit Bunches (FFB)'s PT Perkebunan Nusantara V Indonesia, predicted increase. The main objective of this preliminary study is to build the smart transportation concept of FFB. This concept is built based on problems that are assumed under certain conditions, by integrating automatic measurement of FFB yields, because it is measured using a weight sensor installed at the FFB collection point and proceed to the palm oil processing mill. The measurement results will be communicated by IoT to the trucking station so that the capacity and number of trucks can be calculated precisely. The number of transport trucks will determine the optimal route with the genetic algorithm. This optimal route will serve as a guideline for unmanned trucks to move in harmony according to data input that is automatically read from the palm oil plantation environment, through data communication with IoT.
Tahun	:	2020	Media Publikasi	:	Prosiding
Kategori	:	Prosiding	No/Vol/Tahun	:	28 / 20 / 2020
ISSN/ISBN	:	978-1-7281-9167-6
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
Bibliography	:	[1] H. Thaheer and S. Hasibuan, “Strategi Mitigasi Resiko Keamanan Rantai Pasokan Tandan Buah Segar Pabrik Kelapa Sawit Menggunakan Pendekatan Fuzzy dan ISO 28001,” J. Ilm. Tek. Ind., vol. 18, no. 2, pp. 192–202, 2019, doi: 10.23917/jiti.v18i2.8377. [2] S. B. I. N. Ibrahim, “Transportation Optimization Model of Palm Oil Products for Northern Peninsular Malaysia,” Universiti Sains Malaysia, 2008. [3] A. Miftah and B. S. Kusmuljono, “Modelanalisis Geo-Spasial Penentuan Jalur Transportasi Industri Crude Palm Oilmenggunakan Algoritma Djikstra,” INASEA, vol. 13, no. 1, pp. 1–11, 2012. [4] C. Theeraviriya, R. Pitakaso, K. Sillapasa, and S. Kaewman, “Location decision making and transportation route planning considering fuel consumption,” J. Open Innov. Technol. Mark. Complex., vol. 5, no. 2, 2019, doi: 10.3390/joitmc5020027. [5] U. Tarigan, R. F. Sidabutar, U. P. P. Tarigan, and A. Chen, “Analysis of Optimal Transport Route Determination of Oil Palm Fresh Fruit Bunches from Plantation to Processing Factory,” J. Phys. Conf. Ser., vol. 1007, no. 1, 2018, doi: 10.1088/1742-6596/1007/1/012028. [6] X. Guan, B. Yang, C. Chen, W. Dai, and Y. Wang, “A comprehensive overview of cyber-physical systems: From perspective of feedback system,” IEEE/CAA J. Autom. Sin., vol. 3, no. 1, pp. 1–14, 2016, doi: 10.1109/JAS.2016.7373766. [7] S. Balaji, “Waterfall vs v-model vs agile : A comparative study on SDLC,” WATEERFALL Vs V-MODEL Vs Agil. A Comp. STUDY SDLC, vol. 2, no. 1, pp. 26–30, 2012. [8] J. P. Dias and H. S. Ferreira, State of the Software Development LifeCycle for the Internet-of-Things. 2018. [9] B. Liu, Vehicle routing problem, vol. 239. 2009. [10] M. T. Sembiring, M. Z. Hadi, J. Tanuwijaya, and I. Budiman, “A shortest route metaheuristic method for oil palm Fresh Fruit Bunch (FFB) transportation based on genetic algorithm: A case study in PTPN III Indonesia,” MATEC Web Conf., vol. 197, 2018, doi: 10.1051/matecconf/201819714011. [11] Y. Arkeman, Y. Herdiyeni, I. Hermadi, and Gibtha fitri laxmi, “Algoritma Genetika Tujuan Jamak.Pdf.” p. 9, 2014. [12] A. E. Eiben, Z. Michalewicz, M. Schoenauer, and J. E. Smith, “Parameter control in evolutionary algorithms,” Stud. Comput. Intell., vol. 54, no. 2, pp. 19–46, 2007, doi: 10.1007/978-3-540-69432-8_2. [13] B. M. J. Griffor Edward R., Greer Christopher, Wollman David A., “Framework for Cyber-Physical Systems : Volume 1,” Nist, vol. 1, no. 1, p. 79, 2017, [Online]. Available: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1500201.pdf. [14] S. C. Suh, U. J. Tanik, J. N. Carbone, and A. Eroglu, “Applied cyberphysical systems,” Appl. Cyber-Physical Syst., vol. 9781461473, pp. 1–253, 2014, doi: 10.1007/978-1-4614-7336-7. [15] BPS-Statistics Indonesia, “The Result of Inter-Census Agricultural Survey 2018,” Jakarta, 2018. [16] E. F. Yandra, B. P. Lapanporo, and M. I. Jumarang, “Rancang Bangun Timbangan Digital Berbasis Sensor Beban 5 Kg Menggunakan Mikrokontroler Atmega328,” Positron, vol. 6, no. 1, pp. 23–28, 2016, doi: 10.26418/positron.v6i1.15924. [17] B. Martin et al., “Advancing Autonomous Systems An Analysis of Current and Future Technology for Unmanned Maritime Vehicles,” CA RAND Corp., 2019, [Online]. Available: https://www.rand.org/pubs/research_reports/RR2751.html.
URL	:	https://ieeexplore.ieee.org/document/9354302/metrics#metrics