Journal of Business, Social and Technology (Bustechno) http://bustechno.ridwaninstitute.co.id/index.php/jbt/issue/current |
INVENTORY APPLICATION PROGRAM ON CV X IN SEMARANG
Sayudin
Ridwan Institute, Cirebon,
West Java, Indonesia
Email: [email protected]
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Abstract |
Article
Information: Received Revised Accepted Keywords: the
program; application; inventory |
This
research uses qualitative approach. Qualitative approach is a process of
research and understanding based on a methodology that investigates a
phenomenal.� According to jane richie
qualitative research is an effort to improve the social world and its perspective
in the world, in terms of concepts, behaviors, perceptions and problems about
human beings are meticulous. From the discussion and observation of research,
it can be concluded the following: First, it takes a long time to modulate
the inventory of goods, therefore it is necessary to improve through
development methods such as HIPO and basic visual coding. Second, The lack of
thoroughness in modulates every item entering and exiting, for that the need
for a program of application of inventory. |
Introduction
Batik
X is a home industry company engaged in batik
fashion. Batik X was established from 2010 until
now. Along with the development of Batik X joined several online
shops to market its products, including Zalora, VIP Plaza, Mataharimall.com,
Qoo10, and Muslimarket. There is also an offline shop that is in Centro Bintaro
Jaya X-change. From some customers who
cooperate with Batik X, Zalora is the first
customer to cooperate with Batik X (Darmawan & Setiawati, 2015).
Zalora
is one of the customers who cooperate with Batik X
and along with the many competitions in the field of e-commerce, zalora and other
online shops many are turning to a market place
that is not stored in supplier warehouses but stored in warehouses owned by the
company (Basuki & Pasa, 2018). So along with the large
demand for goods needed by customers will be more and more administration
modulate the data of goods entering and exiting the warehouse, therefore there
must be a lot of goods that will be recap by the administration because of the
number of goods in the warehouse stored as inventory in each marketplace (Fathansyah, 2012). Therefore, the
administration has problems in modululating data that every day can reach
hundreds of batik that has just come and must be dissied to each marketplace,
after which the administration must also make a price for each batik that every
model, motif, color is different. The administration must also prepare a price
tag to be tagged in batik to be sold. Before clothes are marketed in the online
shop, we must also photograph our batik first according to the criteria given
by e-commerce. Therefore, Batik Amarta Nawa collaborates with Inbound Indonesia
to photograph our batik with detailed models and criteria, and the background
desired by Amarta Nawa (Gie, 2007).
Along with the number of goods coming in
and out of the warehouse and the large number of customer requests, the
administration must be thorough. Inventory of goods in the warehouse is
certainly very important for an admin to know what items are ordered by online
shop customers and make no mistake, the inventory of goods from each online
shop in the warehouse must also be very careful in order to be faithful to the
purchase of goods in the message remains available. Therefore an administration
needs to store every item that comes in and out of the warehouse (Indrajani, 2011).
Methods
This research uses a qualitative approach.
Qualitative approach is a process of research and understanding based on a
methodology that investigates a phenomenal.�
According to jane Richie (Moleong, 2019)
qualitative research is an effort to improve the social world and its
perspective in the world, in terms of concepts, behaviors, perceptions and
problems about human beings are meticulous.
The method that researchers used
in this study was a descriptive method. The descriptive method according to
Nawawi (Campo, Ballester, Langlois, Dacremont, & Valentin, 2010)
can be interpreted as a problem solving procedure that is investigated by describing
or describing the state of the subject or object of research (a person,
institution, society, and others) at this time based on facts that appear or as
is. According to (Yin, 2011)
descriptive research method is research intended to investigate the
circumstances, conditions or other things already mentioned, the results of
which are presented in the form of research reports.
Scientific methods are used to
obtain data with specific purposes and uses. Based on this, there are four keywords
that need to be considered, namely scientific means, data, purpose, and usefulness.
The reason the author uses qualitative methods that are deriktif because
qualitative method is not to look for some of the influence of a variable on
other variables, but the research that the author does is to explore, find and
explain how the problem can be handled to the maximum.
Results and Discussion
A. System Design
System design consists of ERD, normalization, HIPO structure,
program flowchart and program display design.
1. Entity Relationship Diagram /
ERD
In the previous chapter it has been explained about the understanding of
ERD, and in this chapter the author will create an ERD based on the application
program to be created (Cagiltay, Tokdemir, Kilic,
& Topalli, 2013).
Diagram 1
ERD Inventory
2. Normalization
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Picture 2
Unormalization
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Picture 3 Normalization to one (1NF) Picture 4 Second normalization (2NF) |
3. Structure HIPO
HIPO (Hirearchical Plus Input Proses Output) is a program documentation
tool and also as a hipo design tool based on functions that aregrammed on the
main menu (Davis, 2019).
Here is the structure of HIPO program in inventory application program on CV
Amarta Nawa:
Picture 5
HIPO Production Schedule
4. Flowchart Program
Flowchart program consists of login flowchart, main menu
flowchart, file menu flowchart, report flowchart, flowchart 1A, flowchart 2A,
flowchart 1A. A, flowchart 1A (Chapin, 2003).
B, flowchart 1A. C, flowchart 2A. A, flowchart 2A. B, flowchart 2A. C as follows:
a.
Flowchart
Login Picture 6 Flowchart Login b.
Flowchart
Main Menu |
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Picture 7 Flowchart Main Menu c.
Flowchart
Data Master Picture 8 Flowchart Menu File |
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d.
Flowchart
Process Picture 9 Flowchart Process |
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e.
Flowchart� 1B From flowchart Data Master there is flowchart 1B as follows : Picture 10 Flowchart 1B |
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5. Program View Design The design of the program display
consists of login form, main menu form, menswear form, top women's
formpakaian, lower women's clothing form, and report form as follows: |
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Form Login Picture 11 Menu Login |
Form Main Menu Picture 12 Main Menu |
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Goods Form Picture 13 Goods Form |
Form Customers Picture 14 Form Customers |
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Form Supplier Picture 15 Form Supplier |
Form User Picture 16 Form User |
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Form Incoming Items Picture 17 Form Incoming Items |
Form Sales Picture 18 Form Sales |
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Form Stock Picture 19 Form Stock |
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B. Implementation
Implementation consists of relationships between tables,
database structure and program end result as follows :
Relationships Between Tables |
Picture 20
Relationships Between Tables
1. Database Structure
The database structure consists of administrative data,
menswear data, top women's clothing data, lower women's clothing data, supplier
data and report data (Priana & Fitriani, 2016).
a. Data User
Contains all admin data amarta
nawa.
File name������ :��
Penjualan.mdb
Name_table�� :�� m_user
Media :�� Microsoft Acces 2007
Primary key�� : ��Userid
Tabel 1
Data Admin
No |
Field name |
Type |
Size |
Description |
1 |
User id |
Text |
10 |
Primery key |
2 |
Pass |
Text |
20 |
- |
3 |
odlevel |
Text |
5 |
- |
4 |
namauser |
Text |
20 |
- |
5 |
Status |
number |
2 |
- |
b. Goods Data
Contains all menswear data
amarta nawa Data Goods
File name������ :� �Penjualan.mdb
Nama_table�� :�� Goods
Media :�� Microsoft Acces 2007
Primary key�� :��
Itemid
Table 2
Goods Data
No |
Field name |
Type |
Size |
Description |
1 |
Itemid |
Text |
10 |
Primery key |
2 |
itemname |
Text |
25 |
- |
3 |
itemdesc |
Text |
40 |
- |
4 |
itemgroupid |
Text |
10 |
- |
5 |
itemvendid |
Text |
8 |
- |
6 |
iteminstok |
Text |
Double |
- |
7 |
itembalance |
Number |
Double |
- |
8 |
itemsale |
Number |
Double |
- |
9 |
itemcost |
Number |
Double |
- |
10 |
itemstatus |
Number |
Integer |
- |
11 |
itemuserid |
text |
10 |
- |
c. Customer Data
Contains all women's clothing data
on amarta nawa
File name������ :��
Penjualan.mdb
Name_table�� :�� Customers
Media ����������� :�� Microsoft Acces
2007
Primary key�� :��
custid
Tabel 3
Customer Data
No |
Field name |
Type |
Size |
Description |
1 |
Custid |
Text |
8 |
Primery key |
2 |
Custname |
Text |
30 |
- |
3 |
Custaddr |
Text |
255 |
- |
4 |
Custphone |
Text |
15 |
- |
5 |
Custfax |
Text |
15 |
- |
6 |
Custpic |
Text |
25 |
- |
7 |
Custstatus |
Number |
Integer |
- |
8 |
Custuserid |
Text |
10 |
- |
d. Supplier Data
Contains all women's clothing
data on amarta nawa
File Name����� :�� Penjualan.mdb
Name_table�� :�� Supplier
Media :�� Microsoft Acces 2007
Primary key�� :��
vendid
Tabel 4
Women's Clothing Data Below
No |
Field name |
Type |
Size |
Description |
1 |
Venidid |
Text |
8 |
Primery key |
2 |
vendname |
Text |
30 |
- |
3 |
Venaddr |
Text |
255 |
- |
4 |
vendphone |
Text |
15 |
- |
5 |
Vendfax |
Text |
15 |
- |
6 |
Vendpic |
Text |
25 |
- |
7 |
vendstatus |
Number |
Integer |
- |
8 |
venduserid |
Text |
10 |
- |
e. Incoming Goods Data
Contains all women's clothing
data on amarta nawa
File Name����� : ��Penjualan.mdb
Name_table�� :�� tr_masuk
Media :�� Microsoft Acces 2007
Primary key�� :��
receivedid
Tabel 5
Data Supplier
No |
Field name |
Type |
Size |
Description |
1 |
receivedid |
Text |
15 |
Primery key |
2 |
receiveddate |
Date/Time |
|
- |
3 |
receivenid |
Text |
8 |
- |
4 |
receivedesc |
Text |
255 |
- |
5 |
receiveqty |
Number |
Double |
- |
6 |
receiveuserid |
Text |
10 |
- |
f. ��Data Sales
Contains all women's clothing
data on amarta nawa
File Name����� :� �Penjualan.mdb
Name_table�� :�� Sales
Media :�� Microsoft Acces 2007
Primary key�� :�� salesid
Tabel 6
Data Sales
No |
Field name |
Type |
Size |
Keterangan |
1 |
Salesid |
Text |
15 |
Primery key |
2 |
Salesdate |
Date/Time |
|
- |
3 |
Salescutid |
Text |
8 |
- |
4 |
Jumlahsalesqty |
Number |
Double |
- |
5 |
Salesmount |
Number |
Double |
- |
6 |
Salesuserid |
Text |
10 |
- |
2. Main Menu View, Program Input And
Output (sort by stages from start to end)
Menu Login Picture 21 Menu Login |
Main Menu Picture 22 Main Menu |
Form� Goods Picture 23 Form Goods |
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Form Incoming Items Picture 24 Form Incoming Items |
3. Compile Program / Program End
Result |
Picture 25 Program End Result |
Picture 26 Lap Customer List |
Conclusion
From
the discussion and observation of research, it can be concluded the following First, it takes a long time to modulate the inventory of
goods, therefore it is necessary to improve through development methods such as
HIPO and basic visual coding. Second, The lack of
thoroughness in modulates every item entering and exiting, for that the need
for a program of application of inventory.
Basuki, Sucipto, & Pasa,
Ali. (2018). Pengembangan Sistem Informasi Penilaian Kinerja Dosen Pada Stmik Insan
Pembangunan. Insan Pembangunan Sistem Informasi Dan Komputer (IPSIKOM), 6(1). Google Scholar
Cagiltay, Nergiz Ercil, Tokdemir,
Gul, Kilic, Ozkan, & Topalli, Damla. (2013). Performing and analyzing
non-formal inspections of entity relationship diagram (ERD). Journal of
Systems and Software, 86(8), 2184�2195. Google Scholar
Campo, Eva, Ballester, Jordi,
Langlois, Jennifer, Dacremont, Catherine, & Valentin, Dominique. (2010).
Comparison of conventional descriptive analysis and a citation frequency-based
descriptive method for odor profiling: An application to Burgundy Pinot noir
wines. Food Quality and Preference, 21(1), 44�55. Google Scholar
Chapin, Ned. (2003). Flowchart. In Encyclopedia
of Computer Science (pp. 714�716). Google Scholar
Darmawan, Deni, & Setiawati,
Linda. (2015). Developing Integrated Management Information System in Research:
A Study at the Institute for Research and Community Services of Universitas
Pendidikan Indonesia. International Journal of Applied Engineering Research,
10(16), 37206�37210. Google Scholar
Davis, William S. (2019). HIPO
(hierarchy plus input-process-output). In The information system consultant�s
handbook (pp. 503�510). CRC Press. Google Scholar
Fathansyah, Basis Data. (2012).
Bandung. Informatika. Google Scholar
Gie, T. L. (2007). Administrasi
Perkantoran Modern, Edisi Keempat. Yogyakarta: Liberty. Google Scholar
Indrajani, S. M. (2011). Pengantar dan
Sistem Basis Data. Jakarta: PT Elex Media Komputindo. Google Scholar
Moleong, Lexy J. (2019). Metodologi
penelitian kualitatif. Google Scholar
Priana, Isan, & Fitriani, Leni.
(2016). Perancangan Aplikasi Perangkat Lunak Pengelolaan Data Bank Sampah di
PT. Inpower Karya Mandiri Garut. Jurnal Algoritma, 13(2), 407�413. Google Scholar
Yin, Robert K. (2011). Applications
of case study research. sage. Google Scholar
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(2021) |
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