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All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika International Journal on Food, Agriculture and Natural Resources (IJFANRES)
man, ar
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Agriculture, Biological Sciences & Forestry Computer Science & IT

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEGAWAI TERBAIK PADA BADAN PENANGGULANGAN BENCANA DAERAH (BPBD) KOTA PARIAMAN MENGGUNAKAN METODE SIMPLE ADDITVE WEIGHTING man, ar
Jurnal EDik Informatika Vol 6, No 2 (2020)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2020.v6i2.4002

Abstract

Badan The Pariaman City Regional Disaster Management Agency (BPBD) is a government agency in the city of Pariaman, consisting of employees and honorary. So that employee performance can be better every year, holding the best employee selection. Problems that occur in the process of selecting the best employees so far are, data processing is still manual so it takes a long time, giving value to employees is still in the form of paper files so prone to data loss, limited employee assessment criteria in BPBD Kota Pariaman. In research the research method uses the SDLC approach and system design aids using UML. Based on permaslah above, researchers provide a solution by designing a decision support system for selecting the best employees using the SAW method. The result with the best employee selection SPK system in Pariaman BPBD can also minimize the risk of losing employee data, making the best employee selection evaluation criteria in accordance with criteria set by the custodian, besides that with this SPK the selection of the best employees is more effectivefs
Validation of a Sunlight Availability Simulation Model Man, Ar; Chaichana, Chatchawan; Rinchumphu, Damrongsak; Wicharuck, Suwimon; Wanison, Ramnarong
International Journal on Food, Agriculture and Natural Resources Vol 5, No 4 (2024): IJ-FANRES
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v5i4.411

Abstract

Sunlight availability for plants plays an important role in determining whether a plant can produce its maximum productivity output. The study developed a Rhinoceros simulation model that can predict the sunlight availability received in the surface of interest on a vertical farming (VF) shelf design for a particular crop, given that the weather data of the location is known. The simulation model was developed and validated against the experiment. Moreover, the simulation model is compared against other research data from different countries. The dimensions of the experiments from Indonesia and Japan were replicated in the developed Rhinoceros simulation model, and the simulation results were compared against the experiment results. The analysis shows that the model can predict sunlight availability in a similar way to the research data of other studies.
Co-Authors Chaichana, Chatchawan Rinchumphu, Damrongsak Wanison, Ramnarong Wicharuck, Suwimon