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Journal : Jurnal Jaring SainTek

Pengendali Robot Tempat Sampah Menggunakan Smartphone Berbasis Boarduino Fadjria, Andri; Purnomo, Rakhmat; Rahman, Nur
Jurnal Jaring SainTek Vol. 1 No. 2 (2019): Oktober 2019
Publisher : Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jaring-saintek.v1i2.171

Abstract

The cafeteria of Bhayangkara University, Greater Jakarta, has a problem that is a lot ofgarbage left by visitors to the canteen. Waste consists of plastic, paper, food scraps placedat the canteen table by visitors to the canteen. The location of the trash can is far from thevisitors, and the number of trash bins totaling 4 pieces, unable to accommodate the garbagefrom visitors to the canteen can get problems in environmental pollution for the future. Sohe made a study that produced a garbage bin robot with an industrial system 4.0, which isto assist the task of human work. With the aim of reducing the trash left by visitors to thecanteen and the convenience of visitors to put garbage on the robot. Using the protoypingmethod in the system of making garbage bins with the stages of collecting design processneeds, building prototypes, evaluating & repairing, producing a robot with a smartphonecontroller based on boarduino applications so that robots can work according to the needsexpected by researchers.
Analisis Luas Lahan Kelapa Sawit Menggunakan Metode FuzzyAHP Terhadap Resiko Pelaku Usaha Paduloh; Purnomo, Rakhmat; Widyantoro, Murwan
Jurnal Jaring SainTek Vol. 1 No. 1 (2019): April 2019
Publisher : Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jaring-saintek.v1i1.182

Abstract

The aim of this study was to identify the risk of oil palm land ownership and the relationship between oil palm land area and farmers' income, the level of welfare of farmers and workers in oil palm plantations. This research can be a reference for businesses who will invest in oil palm plantations. The research was conducted by giving questionnaires to experts, the experts in question were oil palm industry players and were able to make decisions. The results of the questionnaire are processed using Fuzzy AHP to determine the degree of importance of each expert. The results obtained are the biggest risk at the actor level is the farmer, at the level of the highest risk criteria is the increase in the amount of supply while at the alternative level is the risk of quality.