@Joseinnewworld just went off again tonight — picked up 7 more #NFTs like it’s a nightly ritual 🔥 At this point, he’s not collecting... he’s curating. Big love and respect, always 🙌 #NFTcollector #UnstoppableSupport #NFTMarketplace #NFTCollection #CryptoMarket #eCash $XEC pic.twitter.com/KW1CCb1Pj0
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A lecturer asked each group of students to analyze everything in each group's work environment that had the potential to create a decision support system.
Determining Alternatives, Criteria and Weights of CCTV Decision Support Systems
Instruction!
A. Defining the system created
B. Determining the theoretical basis/method used
C. Results and Discussion
A. System Definition
CCTV Decision Support System is a series of procedures or methods for selecting CCTV by utilizing CCTV-related information supported by certain algorithms and providing output in the form of ranking information, to make it easier for users to make decisions quickly.
B. Theoretical Basis
What method we should use was determined beforehand during the random drawing in the classroom, and it just so happened that luck fell on the TOPSIS Method .
C. Results and Discussion
In this case study we are asked to determine Alternatives, Criteria, Properties and Weights, in addition we also have to solve it using the TOPSIS method. Meanwhile, we obtained these results from the work environment of one of our group members.
1. Determine Alternatives
A consumer wants to install CCTV to support the security system of his shop. He is interested in one of the famous brands, namely Hikvision, but he is still confused and has not been able to determine what type is suitable for his needs.
A technician named Septiyawan recommends 5 types as alternative choices, including:
1. DS-2CE55A2P, with specifications:
- type = analog,
- camera = 1.3 MP,
- implementation = indoor,
- price = Rp.450,000,-,
- dimensions = 1/3",
- shape = 1/2 circle,
- DVR support = 4CH - WD1
- cable support = coaxial,
- internal memory = not available.
2. DS-2CE15A2P, with specifications:
- type = analog,
- camera = 1.3 MP,
- implementation = outdoor,
- price = Rp.500,000,-,
- dimensions = 1/3",
- shape = oval,
- DVR support = 8CH - WD1
- cable support = coaxial,
- internal memory = not available.
3. DS-2CD2110-I, with specifications:
- type = IP,
- camera = 1.3 MP,
- implementation = outdoor,
- price = Rp.1,200,000,-,
- dimensions = 1/3",
- shape = 1/2 circle,
- DVR support = 16CH - 5MP
- cable support = coaxial & LAN,
- internal memory = available.
4. DS-2CE56C2T, with specifications:
- type = HD,
- camera = 2 MP,
- implementation = indoor,
- price = Rp.650,000,-,
- dimensions = 1/3",
- shape = 1/2 circle,
- DVR support = 8CH - AHD
- cable support = coaxial,
- internal memory = not available.
5. DS-2CE16C2T, with specifications:
- type = HD,
- camera = 2 MP,
- implementation = outdoor,
- price = Rp.700,000,-,
- dimensions = 1/3",
- shape = oval,
- DVR support = 8CH - AHD
- cable support = coaxial,
- internal memory = not available.
2. Determine the Criteria
There are 9 criteria that are used as a reference in decision making, including:
2.1 Type Compliance
- There are 3 types of CCTV, namely analog, IP and HD,
- The point classification is divided into 2, namely GOOD = 1 and BAD = 0.5,
- if it is IP type then it is GOOD and otherwise it is BAD.
2.2 Camera Compatibility
- There are 2 types of camera resolution, namely 1.3MP and 2MP.
- The point classification is divided into 2, namely GOOD = 1 and BAD = 0.5,
- if the resolution is 2MP then it is GOOD and otherwise it is BAD.
2.3 Suitability of Place
- There are 2 types of CCTV use, namely indoor and outdoor,
- The point classification is divided into 2, namely GOOD = 1 and BAD = 0.5,
- if outdoor then it is GOOD and otherwise it is BAD.
2.4 Price Matching
- Point classification is divided into 2, namely GOOD = follows the actual price and BAD = 0,
- If the price <= Rp. 2,000,000,- then it is GOOD and if the price > Rp. 2,000,000,- then it is BAD.
2.5 Size Conformity
- Point classification is divided into 2, namely GOOD = follows the actual size and BAD = 0,
- if dimension <= 2" then GOOD and if dimension > 2" then BAD.
2.6 Form Conformity
- There are 2 types of CCTV shapes, namely 1/2 circle and oval,
- The point classification is divided into 2, namely GOOD = 1 and BAD = 0.5,
- if it is in the form of 1/2 circle then it is GOOD and otherwise it is BAD.
2.7 DVR Compatibility
- There are 4 types of DVR quality, namely 4CH-WD1, 8CH-WD1, 8CH-AHD, and 16CH-5MP,
- The point classification is divided into 3, namely GOOD = 1, ENOUGH = 0.5 and BAD = 0.1,
- if 16CH-5MP then it is GOOD, if 8CH then it is enough, and CH below 8 then it is BAD.
2.8 Cable Compatibility
- There are 2 types used, namely Coaxial and LAN,
- The point classification is divided into 2, namely GOOD = 1 and BAD = 0.5,
- If both are supported then it is GOOD and if only one is supported then it is BAD.
2.9 Memory Compatibility
If available then GOOD = 1 and if not available then BAD = 0.5.
3. Determine the weight
The level of importance of each criterion is weighted in the range of 1 to 3.
- 1 is not important.
- 2 is quite important.
- 3 is very important.
4. Determining the Nature
| Kriteria | Nama | Bobot | Sifat |
|----------|------------------------------|-------|---------|
| C1 | Kesesuaian jenis | 3 | Benefit |
| C2 | Kesesuaian kamera | 3 | Benefit |
| C3 | Kesesuaian tempat | 3 | Benefit |
| C4 | Harga CCTV | 2 | Cost |
| C5 | Ukuran fisik CCTV | 2 | Cost |
| C6 | Bentuk CCTV | 1 | Benefit |
| C7 | Dukungna DVR | 3 | Benefit |
| C8 | Dukungan kabel | 3 | Benefit |
| C9 | Ketersediaan memori internal | 2 | Benefit |5. Determine the Match Rating
| Alternatif | Kriteria |
|------------|----------|-----|-----|------|-----|-----|-----|-----|-----|
| | C1 | C2 | C3 | C4 | C5 | C6 | C7 | C8 | C9 |
| 1 | 0.5 | 0.5 | 0.5 | 450 | 1/3 | 1 | 0.1 | 0.5 | 0.5 |
| 2 | 0.5 | 0.5 | 1 | 500 | 1/3 | 0.5 | 0.5 | 0.5 | 0.5 |
| 3 | 1 | 0.5 | 1 | 1200 | 1/3 | 1 | 1 | 1 | 1 |
| 4 | 0.5 | 1 | 0.5 | 650 | 1/3 | 1 | 0.5 | 0.5 | 0.5 |
| 5 | 0.5 | 1 | 1 | 700 | 1/3 | 0.5 | 0.5 | 0.5 | 0.5 |6. Determining the Normalized Decision Matrix
| x1 | x2 | x3 | x4 | x5 | x6 | x7 | x8 | x9 |
|-----|-----|-----|----------|-----|-----|-----|-----|-----|
| 0.5 | 0.5 | 0.5 | 450.000 | 1/3 | 1 | 0.1 | 0.5 | 0.5 |
| 0.5 | 0.5 | 1 | 500.000 | 1/3 | 0.5 | 0.5 | 0.5 | 0.5 |
| 1 | 0.5 | 1 | 1200.000 | 1/3 | 1 | 1 | 1 | 1 |
| 0.5 | 1 | 0.5 | 650.000 | 1/3 | 1 | 0.5 | 0.5 | 0.5 |
| 0.5 | 1 | 1 | 700.000 | 1/3 | 0.5 | 0.5 | 0.5 | 0.5 |
[
Normalized Matrix R
| 0.353553391 | 0.301511345 | 0.267261242 | 0.268686645 | 0.447213595 | 0.534522484 | 0.075377836 | 0.353553391 | 0.353553391 |
|-------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|
| 0.353553391 | 0.301511345 | 0.534522484 | 0.298540717 | 0.447213595 | 0.267261242 | 0.376889181 | 0.353553391 | 0.353553391 |
| 0.707106781 | 0.301511345 | 0.534522484 | 0.716497721 | 0.447213595 | 0.534522484 | 0.753778361 | 0.707106781 | 0.707106781 |
| 0.353553391 | 0.603022689 | 0.267261242 | 0.388102932 | 0.447213595 | 0.534522484 | 0.376889181 | 0.353553391 | 0.353553391 |
| 0.353553391 | 0.603022689 | 0.534522484 | 0.417957004 | 0.447213595 | 0.267261242 | 0.376889181 | 0.353553391 | 0.353553391 |7. Multiplication of Weight with Value of Each Attribute
The Y matrix is obtained as follows,
| 0.353553391 | 0.301511345 | 0.267261242 | 0.268686645 | 0.447213595 | 0.534522484 | 0.075377836 | 0.353553391 | 0.353553391 |
|---------------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|
| 0.353553391 | 0.301511345 | 0.534522484 | 0.298540717 | 0.447213595 | 0.267261242 | 0.376889181 | 0.353553391 | 0.353553391 |
| 0.707106781 | 0.301511345 | 0.534522484 | 0.716497721 | 0.447213595 | 0.534522484 | 0.753778361 | 0.707106781 | 0.707106781 |
| 0.353553391 | 0.603022689 | 0.267261242 | 0.388102932 | 0.447213595 | 0.534522484 | 0.376889181 | 0.353553391 | 0.353553391 |
| 0.353553391 | 0.603022689 | 0.534522484 | 0.417957004 | 0.447213595 | 0.267261242 | 0.376889181 | 0.353553391 | 0.353553391 |
| *3 | *3 | *3 | *2 | *2 | *1 | *3 | *3 | *2 |
| Dikali Dengan Bobot | | | | | | | | |The result,
| 1.060660172 | 0.904534034 | 0.801783726 | 0.537373291 | 0.894427191 | 0.534522484 | 0.226133508 | 1.060660172 | 0.707106781 |
|-------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|
| 1.060660172 | 0.904534034 | 1.603567451 | 0.597081434 | 0.894427191 | 0.267261242 | 1.130667542 | 1.060660172 | 0.707106781 |
| 2.121320344 | 0.904534034 | 1.603567451 | 1.432995442 | 0.894427191 | 0.534522484 | 2.261335084 | 2.121320344 | 1.414213562 |
| 1.060660172 | 1.809068067 | 0.801783726 | 0.776205864 | 0.894427191 | 0.534522484 | 1.130667542 | 1.060660172 | 0.707106781 |
| 1.060660172 | 1.809068067 | 1.603567451 | 0.835914008 | 0.894427191 | 0.267261242 | 1.130667542 | 1.060660172 | 0.707106781 |8. Determining Positive & Negative Ideal Solution Matrix
| Nama kriteria | Sifat kriteria | Y+ | Y- |
|------------------------|----------------|------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|
| C1 = Kesesuaian Jenis | Benefit | Max= 2.121320344 | Min= 1.060660172 |
| C2 = Kesesuaian Kamera | Benefit | Max= 1.809068067 | Min= 0.904534034 |
| C3 = Kesesuaian Tempat | Benefit | Max= 1.603567451 | Min= 0.801783726 |
| C4 = Harga CCTV | Cost | Min= 0.537373291 | Max= 1.432995442 |
| C5 = Ukuran fisik CCTV | Cost | Min= 0.894427191 | Max= 0.894427191 |
| C6 = Bentuk CCTV | Benefit | Max= 0.534522484 | Min= 0.267261242 |
| C7 = Dukungna DVR | Benefit | Max= 2.261335084 | Min= 0.226133508 |
| C8 = Dukungan kabel | Benefit | Max= 2.121320344 | Min= 1.060660172 |
| C9 = memori internal | Benefit | Max= 1.414213562 | Min= 0.707106781 |
| Dapat disimpulkan: | | A+ = { 2.121320344; 1.809068067; 1.603567451; 0.537373291; 0.894427191; 0.534522484; 2.261335084; 2.121320344; 1.414213562;} | A- = { 1.060660172; 0.904534034; 0.801783726; 1.432995442; 0.894427191; 0.267261242; 0.226133508; 1.060660172; 0.707106781;} |9.a Distance Between Alternative Ai and Positive Ideal Solution
9.b Distance Between Alternative Ai and Negative Ideal Solution
10. Determine the Preference Value for Each Alternative
11. Ranking
| Altenatif | Ranking |
|--------------|---------|
| DS-2CE55A2P | 5 |
| DS-2CE15A2P | 4 |
| DS-2CD2110-I | 1 |
| DS-2CE56C2T | 3 |
| DS-2CE16C2T | 2 |