MODEL PETRI NET DAN ALJABAR MAX-PLUS PADA ALUR VAKSINASI COVID-19 DI DKI JAKARTA

ANISA, . (2022) MODEL PETRI NET DAN ALJABAR MAX-PLUS PADA ALUR VAKSINASI COVID-19 DI DKI JAKARTA. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Pelaksanaan vaksinasi covid-19 adalah salah satu upaya pemerintah Indonesia dalam mengendalikan virus covid-19. Dalam pelaksanaannya masih terdapat beberapa kendala seperti banyaknya antrian masyarakat di tempat pelayanan vaksinasi. Petri Net digunakan untuk memodelkan suatu sistem diskrit, salah satu contohnya adalah pada alur pelayanan vaksinasi covid-19. Model alur vaksinasi covid-19 ter- sebut disimulasikan menggunakan Petri Net dalam bentuk coverability tree. Model alur vaksinasi covid-19 yang dimodelkan dengan Petri Net terdiri dari 13 place dan 12 transisi. Data penelitian berupa lama waktu proses saat peserta vaksin ke-1 yang mana nilai tersebut diperoleh dari observasi secara langsung ketika puskesmas dalam keadaan sibuk pada pagi hari di hari Selasa dan Kamis. Data tersebut kemudian dia- nalisis menggunakan konsep Aljabar Max-Plus. Hasil dari penelitian ini yaitu lama waktu optimal di pelayanan hingga di meja pendaftaran ialah 4 menit, hingga di meja skrining ialah 13 menit, hingga di meja vaksinasi ialah 17 menit, dan hingga di meja pencatatan dan observasi ialah 25 menit. Implementation of the covid-19 vaccination is one of the efforts of the Indonesian government in controlling the covid-19 virus. In its implementation there are still several obstacles such as the large number of queues of people at the vaccination service. Petri Net is used to model a discrete system, one example is in the flow of Covid-19 vaccination services. The Covid-19 vaccination flow model is simulated using a Petri Net in the form of a coverability tree. The Covid-19 vaccination flow model modeled by Petri Net consists of 13 places and 12 transitions. The research data is in the form of processing time during the 1st vaccine participant where the value is obtained from direct observation when the puskesmas is busy in the morning on Tuesday and Thursday. The data is then analyzed using the concept of Max-Plus Algebra. The results of this study are that the optimal length of time at the service to the registration table is 4 minutes, to the screening table is 13 minutes, to the vacci- nation table is 17 minutes, and to the recording and observation table is 25 minutes.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Yudi Mahatma, M.Si. ; 2). Devi Eka Wardani M, S.Pd., M.Si.
Subjects:	Sains > Matematika
Divisions:	FMIPA > S1 Matematika
Depositing User:	Users 17789 not found.
Date Deposited:	09 Mar 2023 05:00
Last Modified:	09 Mar 2023 05:00
URI:	http://repository.unj.ac.id/id/eprint/38188

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