Journal of Business, Social and Technology (Bustechno) http://bustechno.ridwaninstitute.co.id/index.php/jbt/issue/current

 

SALES APPLICATION PROGRAM AT PALINGGIHAN RESTAURANT IN KUNINGAN

 

Abi Surya Wijaya

Ridwan Institute, Cirebon, West Java, Indonesia

Email: [email protected]

 

 

 

Abstract

 

 

 

Article Information:

Received

Revised

Accepted

 

 

Keywords:

sales; application; business

The culinary business has good prospects and is one of the growing business opportunities today, ranging from traditional food traders with the term street vendors, buffets to modern food traders who claim to be cafe and restaurant entrepreneurs. The purpose of this study is to determine the effective sales application program used in a business. To collect data to meet the preparation of this application program, the authors do several ways, namely. Observing the service process at the restaurant by becoming a buyer, experiencing firsthand how the service at the Palinggihan Restaurant is by collecting data and obtaining data that will be used as writing material. Conducting direct interviews with employees of the fragrant sweet restaurant about sales activities and transactions at the fragrant sweet restaurant by asking various questions to obtain information and data..

 

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Introduction

Culinary business has good prospects and is one of the most developed business opportunities today, ranging from traditional food vendors with the term street vendors, buffets to modern food vendors who are claimed to be caf� and restaurant entrepreneurs. Palinggihan Restaurant is one of the food or culinary businesses (Fathansyah, 2012). Where in this restaurant the mainstay menu served is indonesian specialties that are processed with interest so that it is appetizing to enjoy the food, plus the place is comfortable, clean javanese traditional nuance becomes an attraction for diners of the restaurant, so that the restaurant develops quickly (Assauri, 2014).

In this sales activity at Palinggihan Restaurant, the author sees that there are still shortcomings, such as the sales process that slows down the working time because sales transactions are recorded using notes (bonds), there are often errors in the calculation of transactions because they still use standard calculators and also the preparation of income reports still using the ledger (Sukamto & Shalahuddin, 2013). The revenue report is only calculated based on total sales minus the total expenditure, so the chairman only knows the amount of money available but cannot calculate the stock of available or remaining items, the recapitulation of the sale does not correspond to the sales report due to frequent loss of copy bill. It can be said to be less effective and efficient (Darmawan & Fauzi, 2013).

In connection with the problem in Palinggihan Restaurant Jakarta, the author tried to provide a solution, namely by creating an application to control a sales information system, because it is very helpful for restaurants to manage and calculate sales transactions quickly, precisely and efficiently (Indrajani, 2014). Based on the above, the author compiled this Final Task with the title "Sales Application Program At Palinggihan Restaurant In Jakarta".

 

Method

In order to collect data to fulfill the preparation of this application program, the author does several ways, namely:

1.    Direct Observation Method

Observing the service process in the restaurant by becoming a buyer to feel directly how the service at Palinggihan Restaurant to collect data and obtain data that will be used as writing material (Abdul, 2013).

2.    Interviews

Conduct direct interviews with employees of Palinggihan restaurant about sales and transaction activities at Palinggihan restaurant by asking various questions to obtain information and data.

3.    Library Study Method

Visit the National Library of Indonesia as well as bookstores such as Gramedia to get reference materials to help the preparation of the Final Task.

 

Results and Discussion

A.   Results

1.    Design

Entity Relationship Diagram (ERD)


 


Figure 1

Entity Relationship Diagram

2.    Normalization

a.     Unnormalized Form

Therefore, entropy is lower bounded by the log like-lihood or negative cycle-consistency loss; minimizingthe cycle-consistency loss maximizes the entropy ormutual information (Li et al., 2019).

 


Table 1

Abnormal Shapes

Kode_barang

Nama_barang

Jumlah

Brg_0001

Es The Sari Kelapa

1

Brg_0002

Tahu Gunting

1

 

 

 

Diskon

Total Harga

Dibayar

10%

15000

20000

10%

5000

10000

 

 

 

Nama_Kasir

Grand_Total

Tanggal

Deasy

15000

21/Oktober/2017

Deasy

10000

21/Oktober/2017

 


b.    1NF/ First Normal Form

First� normal� form (1NF)� is now considered� to be part of the formal� definition of a relation in the� basic� (flat) relational� model, historically it was defined to disallow multivalued attributes, composite attributes, and their combinations. It� states� that� the domain� of� an� attribute must include only� atomic (simple, indivisible) values and� that� the value of any attribute in a� tuple must be a single value from the domain� of� that attribute. Hence, 1NF disallows� having� a set of� values, a tuple of values, or a combination of both� as an attribute value for a single tuple (N�meth, Chiesa, & R�tv�ri, 2019)


.

 

Table 1

First Normal Form

Kode_barang

Nama_barang

Jumlah

1

1

Brg_0001

Es The Sari Kelapa

Brg_0002

Tahu Gunting

 

 

 

 

Diskon

Total Harga

Dibayar

Kembali

10%

15000

20000

5000

10%

5000

10000

5000

 

 

 

 

Nama_Kasir

Grand_Total

Tanggal

 

Yoga

15000

21/Oktober/2017

 

Yoga

10000

21/Oktober/2017

 

 

c.     �2NF / Second Norman Form

 

 

 

Table 2

Second Norman Form

Kode_barang

Nama_barang

Jumlah

1

1

Brg_0001

Es The Sari Kelapa

Brg_0002

Tahu Gunting

 

 

 

 

Diskon

Total Harga

Dibayar

Kembali

10%

15000

20000

5000

10%

5000

10000

5000

 

 

 

 

Nama_Kasir

Grand_Total

Tanggal

 

Yoga

15000

21/Oktober/2017

 

Yoga

10000

21/Oktober/2017

 

 

 


3.    Flowchart Program

a.     Flowchart Login

Presence� process� as� illustrated� in� the� flowchart� in� Figure� 4� starting� from� the� RFID� Tag� scanning process using RFID Reader, the data obtained will be compared to the database, if the data match the database then the presence data will be stored in the cloud database, but if the data is not suitable then will be asked to scanning again RFID Tags, data stored in the cloud database is Student ID data, date and time of attendance, courses and on what week of attendance (Dedy Irawan, Adriantantri, & Farid, 2018).

 


 

 

Figure 2

Flowchart Login

 


b.    Flowchart Main Menu

Multidisciplinary applicability for� SPFA including both the prompt and the rubric was demonstrated by the collection of 40 flowcharts� from� two� Introduction� to� Sociology� classes� that� included students from a large variety of majors (Supplemental Material� 1B). �This� sample was� a� different� group �of� students� from the focus group.Additionally, 26 flowcharts, consisting of 13 paired pre and post� flowcharts,� were� collected� during a� science,� technology,� engineering, and mathematics (STEM) research program for middle and high� school students held in the summer of 2013 (examples in Figure 3). The pre flowchart, given the first day the students enter the program, was a baseline measure of the students� understanding of the scientific process (Wilson & Rigakos, 2016).

 


 

Figure 3

Flowchart Main Menu

 

c.     Flowchart Data Goods

 

Figure 4

Flowchart Data Goods

 

 

 

 

 

 

 

 

 

 

 

 

d.    Flowchart Data Goods

 

Figure 5

Flowchart Data Customer

 

e.     Flowchart Data Table

Figure 6

Flowchart Data Table

 

 

 

 

 

 

 

 

 

 

 

f. Flowchart Data Casier

 

Figure 7

flowchart Data Casier

 

g.    Flowchart Transaction Sales

Figure 8

Flowchart Transaction Sales

 

4.    Program View Design

a.     Login Menu View Design

 

~ :: PALINGGIHAN :: ~

Username

Keluar

 

Login

 
Password

Figure 9

Design Login Form

 

b.    Main Menu View Design

 

Laporan

 

Transaksi

 

Master

 

Tutup Aplikasi

 
Aplikasi penjualan Makanan (Palinggihan Resto)

Figure 10

Main Menu Design

c.     Goods Data Design

 

Data Makanan Minuman

Kode

Nama Makanan

Hapus

 

Simpan

 

Ubah

 

Tambahh

 
Harga (Rp)

 

Tutup

 
 

 

 



Conclusion

From the results of the discussion on The Sales Application Program at Palinggihan Restaurant, it can be concluded that with the Progran Sales Application At Palinggihan Restaurant, it is expected that the restaurant owner can be easier in presenting information on how much food and drinks are sold and how much revenue turnover. By using the Sales Application Program At Palinggihan Restaurant is expected to accelerate and facilitate the transaction process and the process of making sales reports both daily and monthly reports. With the Application Program In Palinggihan Restaurant, it is expected to be more effective and efficient because the program is built with a computerized system so that it is easier to do the process of importing and searching data about sales.



REFERENCES

Abdul, Kadir. (2013). Pengenalan Algoritma Pendekatan Secara Visual danInteraktif Menggunakan Raptor. Yogyakarta, Andi. Google Scholar

Assauri, Sofjan. (2014). Manajemen Pemasaran, Jakarta: PT. RajaGrafindo Persada. Google Scholar

Darmawan, Deni, & Fauzi, Kunkun Nur. (2013). Sistem Informasi Manajemen, PT. Remaja Rosdakarya, Bandung. Google Scholar

Dedy Irawan, Joseph, Adriantantri, Emmalia, & Farid, Akh. (2018). RFID and IOT for attendance monitoring system. MATEC Web of Conferences. Google Scholar

Fathansyah, Basis Data. (2012). Bandung. Informatika. Google Scholar

Indrajani, S. (2014). Kom., MM Pengantar Sistem Basis Data Case Study All In One. PT Elex Media Komputindo, Jakarta. Google Scholar

Li, Chunyuan, Bai, Ke, Li, Jianqiao, Wang, Guoyin, Chen, Changyou, & Carin, Lawrence. (2019). Adversarial learning of a sampler based on an unnormalized distribution. The 22nd International Conference on Artificial Intelligence and Statistics, 3302�3311. PMLR. Google Scholar

N�meth, Felici�n, Chiesa, Marco, & R�tv�ri, G�bor. (2019). Normal forms for match-action programs. Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 44�50. Google Scholar

Sukamto, Rosa Ariani, & Shalahuddin, Muhammad. (2013). Rekayasa perangkat lunak terstruktur dan berorientasi objek. Bandung: Informatika, 3. Google Scholar

Wilson, Kristy J., & Rigakos, Bessie. (2016). Scientific process flowchart assessment (SPFA): a method for evaluating changes in understanding and visualization of the scientific process in a multidisciplinary student population. CBE�Life Sciences Education, 15(4), ar63. Google Scholar

Copyright holder :

Abi Surya Wijaya (2021)

 

First publication right :

Journal of Business, Social and Technology (Bustechno)

 

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