· - :
IESS
··2015 ··
THE 3
00INTERNATIONAL CONFERENCE
ON INDUSTRIAL ENGINEERING AND SERVICE SCIENCE
M elia Purosani H otel - Yogyakarta, 1 - 3 September 201 5
PROCEEDINGS
PROCEEDINGS
CREATING VALUE
THROUGH · INNOVATION
Organized
by:
.
"Organized by:
Industrial Engineering Department, Institut Teknologi Sepuluh Nopember (ITS) Surabaya and
Universitas Atma Jaya Yogyakarta - Indonesia
Supported by:
Rajamangala University of Technology Suvamabhumi (RMUTSB) - Thailand
Universitas Islam Indonesia (UII) - Indonesia
.... ', ISSN: 233.8-7.939
","@2015'
-Edited by:
Iwan Vanany
Nani Kumiati
Dyah Santhi Dewi
, . I
Cover page
Preface
Table of Contents
• Welcome Speech from Conference Chair
• Welcome Message from Rector of ITS Surabaya
• Welcome Message from Rector of Universitas Atma Jaya Yogyakarta
• Keynote Speakers
• Industrial Engineering ITS
• Universitas Atma Jaya Yogyakarta
Committee
Conference Sponsor
List of Papers
Industrial Engineering - Decision Making
I. Annisaa Novieningtyas and Pri Hermawan. Group Model Building for Policy Making (Case Study: Beef Cattle at West Sumatra)
2. Pri Hermawan, -Yuliati Komar and ｓｯ･ｨ｡ｲｴｾｴｩ＠ Gondhowiardjo. A Network-based Collaborative
. Decision Making Model in Reducing Cervical Cancer Spread in Indonesia. 13
"3., ,·Erika F"tma,.Development of Sustainable Tuna ilrocessing Industry through System OY!larnics
.. , Slmulation..· . ' . '. " ｾＬＬＺＬ＠ . .. ' . , , ,. ' . . . .',
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4. I Made Ronyastra, I Ketut Gunarta and Udisubakti Ciptomulyono. A Multi Criteria Decision Analysis for Reinvestment Action Portfolio Selection Problem in an Indonesian Real, Estate
Company 27
5. Stcfanus Eko Wiratno, Effi Laliffianti and Kevin Karmadi Wirawan. Selection of Business Funding Proposals Using Analytical Network Process: A Case Study at a Venture Capital
Company 36
Industrial Engineering - Logistics
1. Farlda Pulansari, Dwi Donoriyanto and lriani. Performance Assessment Mechanism for Reverse logistics Maturity Implementation toward Sustainable Manufacturing Systems: A Conceptual
Framework 42
2. Adi Budlpriyanto, Budisantoso Wirjodirdjo, Nyoman Pujawan and Saut Guming. Berth
Allocation Problem under Uncertainty: A Conceptual Model Using Collaborative Approach 51
3. Nur Ulfa Hidayatullah and Ali Musyafa. Hazop Study on Fuel Distribution System Based on
Anfis Layer of Protection Analysis in Surabaya Installation Group PT Pertamina Tanjung Perak S9
4. Ardian Rizaldi, Meditya Wasesa and M Noviar Rahman. Yard Cranes Coordination Schemes for
Automated Container Terminals: An Agent-Based Approach 66
S. Meditya Wasesa, M Noviar Raehman, Ardian Rizaldi and M Mashuri. Relocating
Multiple-Tenants Logistics Center: Lesson Learned from an Air Cargo Terminal Relocation Project 74
6. Slti Nurmlnarsih, Ahmad Rusdiansyah and Nurhadi Siswanto. Inventory Ship Routing Problem
(ISRP) Model Considering Port Dwelling Time Information 80
7. Sonny Sanjaya and Tomy Perdana. Logistics System Model Development on Supply Chain
Industrial Engineering - Manufacturing system
1. Wiwin Widiasih, Putu Dana Kamingsih and Udisubakti Ciptomulyono. Development of Integrated Model for Managing Risk in Lean Manufacturing Implementation: A Case Study in an
Indonesian Manufacturing Company
95
2. Joko Sulistio and Tri Astuti Rini. A Structural Literature Review on Models and Methods
Analysis of Green Supply Chain Management
103
3. Sri Indrawnti and Muhammad Ridwansyah. Manufacturing Continuous Improvement Using
Lean Six Sigma: An (ron Ores Industry Case Application III
4. Sri Hartini and Udisubakti Ciptomulyono. The Relathionship between Lean and Sustainable
Manufacturing on Performance: literature review
117
S. Maria Anityasari and Aulin Nadia Rachmat. Lesson Learnt from Top-Down Medium
Enterprises Selection for Green Industry Pilot Project in Surabaya
126
6 Putu Karningsih, Dewanti Anggrahini and Muhammad Syafi'i, Concurent Engineering
Implementation Assesment. Case Study in an Indonesia Manufacturing Company 133
7 Nani Kurnlati, Ruey-Huei Yeh and Jong-Jang Lin. Quality Inspection and maintenance: the
framework 0 f interaction
140
Industrial Enginccrlng - Operation management
1. Suhendi Irawan. The Effect of Choosing a Transportation Vendor and the Performance of
Transponation Vendor on the Performance of Shipping Goods to Consumer: A ｃ｡ｳｾ＠ Study of DB
Schenker Freigh Forwarder
2..- Jugkrit Mahoran, ｾｵｫ｡ｮｹ｡＠ Wonglnkron, Suinalee,Namachote,anq ｎ｡ｲｵｰｨｯＬｬｬｏ｡ｮｷｩｭｾｭＮＬ＠ Risk,
. Mana'gemenfofVilIage Funds' in' Muang District, Suphanburi P.rovince. ' , : ' . "
3. Susanto Sudiro and Sha'Rl Mohd Yusof. Managing WIP buffer with combination offeeding materials scenario and conventional control theory of single type of hospital bed production 4. Agung Sutrisno,lndra Gunawan and Stenly Tangkuman. Modified FMEA Model for Acessing
the Risk of Maintenance Waste
5. Filemon Yoga Adhisatya, The Jln AI and Dah-Chuan Gong. Economic Lot Scheduling Problem
with Two Imperfect Key Modules .
6. Bupe Mwanza and Charles Mbohwa. An Assessment of the Effectiveness of Equipment Maintenance Practices in Public Hospitals.
7. Bupe Mwanza and Charles Mbohwa. Design ofa Total Productive Maintenance Model for Effective Implementation: A case study ofa Chemical Manufacturing Company
8. Hafid Budiman. Increasing Compressor Reliability with The Weibull Distribution Analysis
9. Paulus Wisnu Anggoro and Baju Bawono. Reverse Engineering Technology in Redesign Process Ceramics: Application for CNN Plate
10.
Endang Retno Wedowati, Moses Laksono Singgih nnd I Ketut Gunarta. Integrated ProductionPlanning and Scheduling for Mass Customization in Food Industry: A Conceptual Framework
II. Taufik Djatna and Wenny Dwi Kurniati. A System Analysis and Design for Packaging Design of Powder Shaped Fresheners Based on Kansei Engineering
12.
Taufik Djatna and Muhammad Raja Ihsan. AFuzzy
Associative Memory Modeling forProduction Equipment Status Assessment
13. Taufik Djatna and Fajar Munlchputranto. An Analysis and Design of Mobile Business
Intelligence System for Productivity Measurement and Evaluation in Tire Curing Production Line
147
)52:
159
167
173
179
185
194
199
205
213
220
14.Sazli Tutur rusyahadi. Scheduling Model of Harvesting Strawbeny Considering Product Decay During Storage
15. Chaterine Alvina Prima Hapsari, Deny Ratna Yuniartha and Ignatius Luddy Indra Pumama. Tour and Break Scheduling for Shift Operators in Hard Disk Drive Manufacturer 16.Jwannaraksu Phen. An influence of packaging design on customer purchase intention
17. Dewanti Anggrahini, Putu Dana Karningsih and Manian Sulistiyono. Managing Quality Risk In A Frozen Shrimp Supply Chain (A Case Study)
18. Anny Maryani, Sritomo Wignjosoebroto and Sri Gunani Partiwi. A System Dynamics Approach for Modeling Construction Accidents
19. Naning Aranti Wessiani and Satria Oktaufanus Sarwoko. Risk Analysis of Poultry Feed Production Using Fuzzy FMEA
231
239 247
251
259
265
20. Mohamad Faisal Mohamad Sobri, Hawn Hishamuddin, Noraida Azura Md Darom- Disruption OM I Feco\'cry for a Single Stage Production-Invenlory System with Optimal Safety Stock
Industrial Engineering - Operation research
I. Wahyuda and Budi Santosa. Dynamic Pricing in Electricity: Research Potential in Indonesia 276
2. Chirag Sanchcti, Aditya Balu and Amit Kumar Gupta. Simulation based optimization of
productivity using Flexsim 283
3.
Budi Santosa andI
Gusti Ngurah Agung Kresna. Simulated Annealing Algorithm to SolveSingle Stage ｃ｡ｰ｡｣ｩｾ｡ｴ･､＠ Warehouse Location Problem (Case Study: PT. Petrokimia Gresik) 289
,4. Yuanita Handayati, Togar Simatupang and Tomy Perdana. Value Co-Creation in Agri-Chains
Network: A Hard Agent Based Simulation 298
: 5. ' Budi Santosa and Ade Lia 5afitri. ｾｩｯｧ･ｯｧｲ｡ｰｨｹＭ｢｡ｳ･､＠ Optimization Algorithm for Singic
ｍ｡Ｚ｣ｨｩｾ･＠ Total'Weighted Tardil.less ｐｾ｢ｬ･ｭ＠ " / . ' '307
6. Gilang Almaghribi Sarkara Putra and Rendra Agus Triyono. Proposing a Neural Network Method for Instrumentation and Control Cost Estimation of the EPC Companies Bidding
Proposal 3 13
7. Sattarpoom Thaiparnit, Baramec Osateerakul and Danupon Kumpanya. Algorithm
Design in Leaf Surface Separation by Degree in HS\' Color ｾｉｯ､･ｬ＠ and Estimation of Leaf
Area by Linear Regression 320
8. Danupon Kumpanya and Sattarpoom Thaipamil. Parameter Identification of BLDC Motor
Model via Metaheuristic Optimization Techniques 326
9. Sinta Dewi, Imam Baihaqi and Erwin Widodo. Modeling Strategy of Purchasing Consortium to
Optimize Total Purchasing Cost Considering the Dynamic Condition ofOrganizaion 332
10. Taufik Djatna and Imam Muharram Alitu. An Application of Association Rule Mining in Total Productive Maintenance Strategy: An Analysis and Modelling for Wooden Door Manufacturing
Industry 340
Industrial Engineering - Product Development
I. Yosephine Suharyanti, Subagyo, Nur Aini Masruroh and Indra Bastian. The Scheme oCProduct
Development Process as a Trigger to Product Success: A Theoretical Framework 347
2. Ishardita Pambudl Tama and Wifqi Azlia. Development of Customer Oriented Product Design
Using Kansei Engineering and Kano Model (Case study of Ceramic Souvenir) 355
3. Taufik Djatna, Luh Putu Wrasiati and Ida Bagus Dharma Yoga Santosa. Balinese
Aromatberapy Product Development Based On Kansei Engineering And Customer Personality 362
4. Dyah Santhi Dewi, Bambang Syairudin and Eka Nahdliyatun Nikmah. Risk Management in
New Product Development Process for Fashion Industry (Case Study: Hijab Industry) 368
Industrial Engineering - Project Management
I. Jeyanthi Ramasamy and Sha'Ri Mohd Yusof. A Literature Review of Subsea Asset Integrity
Framework for Project Execution Phase 376
2. Baju Bawono and Paulus Wisnu Anggoro. Utilization Of Rapid Prototyping Technology to
Improve Quality Souvenir Product 384
Industrial Engineering - Supply Chain Engineering
1. Invan Syahrir, Supamo and Iwan Vanany. Heahhcare and Disaster Supply Chain: Literature Review and Future Research
2. Yudi Fernando and Sofri Yahya. Challenges in Implementing Renewable Energy Supply Chain in Service Economy Era
3. Araya Uengpaiboonkit. The Marketing's Factors that Effect to Consumers Decisions of Organic Rice in Surin, Thailand
4. Layung Prasetyanti and Togar Simatupang. Proposed Framework for Service-Dominant-Logic Based Supply Chain
S. Taufik Djatna and Rohmah ｌｵｴｨｦｩｾﾷ｡ｮｴｩＮ＠ An Analysis and Design 9fResponsive Supply Chain
for Pineapple Multi Products SME Based On Digital Business ｅ｣ｯｳｹｳｴｾｴｮ＠ (DBE)
6. ｅｲ｜ｾｩｮ＠ Widodo. A Model Reflecting the Impact of Producer Substitution in Dual-Channel Supply-Chain Inventory.Polic.y
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fiandayani Hiaa·yat.·Anｏｰｾｩｭｩｾ･､Ｇｓｾｰｰｬｹ＠
ｃｨｾｩｾｍＹ､･ｬ＠
for .' ,Detennination of Distribution Center and Inventory Level in A Coconut Water ａｧｲｯｾｬｮ､ｵｳｴｲｹ＠
8. Siamet Setio Wigati and The lin Ai. An Integrated Production System Model for Multi Supplier' Single Buyer with Non Confonning Item and Product Warranty
9. Yoshua Perwira Hartono, Ririn Diar Astanti and The lin Ai. Enabler to Successful Implementation of Lean Supply Chain in A Book Publisher
10. Sutrisno and Puma wan Adi Wicaksono. Optimal Strategy for Multi-product Inventory System with Supplier Selection By Using Model Predictive Control
11. Iwan Vanany, Anny Maryani and Bilqis Amaliah. Blood Traceability System for Indonesian
Blood Supply Chain
Industrial Engineering - Safety & Ergonomic
l. Natalie Carol Skeepers and Charles Mbohwa. A Study on the leadership behaviour, safety
390
398
404
408
416
423
A3C),
436
443
450
457
leadership and safety perfonnance in the Construction industry in South Africa 464
2. Herry Christian Palit and Debora Anne Yang Aysia. The Effect of Pop Musical Tempo during
Post Treadmill Exercise Recovery Time 470
3. Eko Nurmianto, Udisubakti Ciptomulyono, Supamo and Sudiyono Kromodihardjo. Manual
Handling Problem Identification in Mining Industry: the Ergonomic Perspective 475
4. Wiyono Sulari, Murni Dwi Astuti, YusufNugroho Doyobekti and Yuvie Mutiarasari. Analysis of Working Posture Effect on Muscular Skeleton Disorder of Operator in Stamp Scraping in
Batik Stamp Industry 483
5. Rino Andias Anugraha, Wiyono Sutari and lima Mufidah, The Design of Working Desk of Batik
Scraper by Using the Principles of Ergonomy 488
6. Budi Pmptono, YusufNugroho Doyo Yekti, I Gede Wisuda Pura and Fransiskus Tatas Dwi Atmadji. Prevention ofMusculo Skeletal Disorders of Green Beans Farmer Through Application
of Ergonomics in Order to Developing Manual Handling Equipment 496
7. Manik Mahachandra, Yassierli and Erdo Garnaby. The effectiveness of in-vehicle peppermint
fragrance to maintain car drivers' alertness 500
8. Yassierli, Manik Mahachandra and Iftikar Sutalaksana. Fatigue Evaluation of Fuel Truck
Drivers 506
9. Ayu Bidiawati and Eva Suryani. Improving the Work Position of Worker's Based on Quick
Exposure Check Method to Reduce the Risk of Work Related Musculoskeletal Disorders 512
10. Bernadus Kristyanto, Brillianla Budi Nugraha, Anugrah Kusumo P and Kristanto Agung
N. Head and Neck Movement: Simulation And Kinematics Analysis 518
11. Ronny Noriyati, Wisnu Rozaaq, Ali Musyafa and Adi Supriyanto. Hazard & Operability Study
And Detennining Safety Integrity Level On Sulfur Furnace Unit: A Case Study In Fertilizer
Industry 525
12. Dyah Santhi Dewi and Tyasillah Septiana. Workforce Scheduling Considering Physical And
Mental Workload: A Case Study Of Domestic Freight Forwarding 531
Industrial Engineering - Suporting topics in Industrial Egineering
l. Hatma Suryoharyo and Niken Larasati. Sustainable Livelihood Framework As All Approach To
Build Community Based Security 539
2. Ngurah Wira, Amelia Kumiawati and llmar Yunan. The Design of Best Pmctice on The Media
Transfer Activities and Preservation Based on Knowledge Conversion with SECI Method 546
3. Sri GunanJ Partlwi, Elly.Agustiani and Anny Maryani .. Preparation for Designing ｂｵｾｩｮ･ｳｳ＠
. ' .. S!rl\tegyofBamhoo:C;;uitivation iii BO,ddowoso . ' ... . . . , ' , . ' . ＵｾＲＧ＠
4, Yosephine Suharyanti and Alva Edy Tontowi. Market Response as a function of Design,
Competition, and Socio-political Condition: An Empirical Model 558
Service Science - Service Business Design & Strategy
I. Tri Ramadhan, Dermawan Wibisono, Reza Ashari Nasution and Santi Novani. Design of Self
Service Technology on Passenger Shipping Tmnsportation Service System in Indonesia 566
2. Ratna Hidayati and Santi Novani. A Conceptual Complaint Model for Value co-Creation
Process 574
3. Mikhael TJlti, Jann Hidajat Tjakraatmadja and Santi Novani. Designing value co-creation
process in organic food product distribution Case study in Bandung 579
4. Nurtami Prihadi and Santi Novani. Value Co-Creation among Stakeholders in Solo Tourism
Development: Service System Science Perspective 591
5. Arlavianyssa Pradlva Arru and Santi Novani. Value Co-Creation in Solo Tourism by Using
Soft System Dynamics Methodology 60 I
6. Rizki S. Nurfitrla and Mursyid H:Basri. Developing Clinical Pathway Model in Public Hospital
as Basic Component of Casemix System 609
7. Watcharee Phetwong and Krisorn Sawangsire. The Development of Computer Game for
Historic Sites Learning in Suphanburi. 617
8. Lidia Mayangsari and Santi Novani. Multi-stakeholder Co-Creation Analysis in Smart City
Service Science - Service Delivery & Operations
1. Imam Djati Widodo and Hanvati Sutanto. AR MBA: Linkage Pattern of Visited Tourism
Object 628
2. Liane Okdinawati. Togar M. Simatupang and Yos Sunitiyoso. Value Co-creation Map in
Collaborative Transportation 635
3. Americo Azevedo and Maratus Sholihah. Innovative Costing System Framework in Industrial
Product-Service System Environment 642
4. [wan Vanany. Udisubakti Ciptomulyono, Muhammad Khoiri. Oody Hartanto and Putri Nur
Imani. Willingness to Pay for Surabaya Mass Rapid Transit (SMART) Options 649
Service Science - Service Quality
1. Agus Mansur and Rizky Oestiana Hapsari. Analysis of the Public Transportation Service Quality
on Trans Jogja Transportation 658
2. Zya Labiba and Mulih Wijaya. Improvement Quality ofIndustrial Training Center Through
Service Quality Based on Participation Perspective 663
Service Science - Supporting topics in service science
1. Gembong Baskoro. The concept of balancing Higher Education Institution (HEI) organization
towards global and regional challenges 670
2. Samhu.ri Ikbal Pradana. Amelia Kumiawati and Nia·Ambarsari. Knowledge Management
System Implementation Readiness M.easurement in
pon
LIPI Based On People andｏｲｧ｡ｮｩｾｴｩｯｮ｡ｬ＠ Structure Factors 674
i'rm:ee(lill/.: oj /milmrial Engineerillg ami Serl'ice Seiellce , 2015
Balinese Aromatherapy Product Development
Based On Kansei Engineering And Customer
Personality Type
Taufik Djatnal
: Luh Putu Wrasiati2: Ida Bagus Dlwrma Yoga $a ntosal
II'0st Gro.lduate l'rogr.ull of Agro-industrial Technology. Bogor Agricultuml Universi ty. Bogor. Indonesia 2Agro-industrial Technology Depal1l11ellt. Udayana Uni versi ty. Denp:lS:lr. Indonesi:l
taufikdj:[email protected]!.:.id
ABSTRACT
Btllincse al"Omafhcrapy producls IWI'e ,w cb local ｩｬｬ､ｩｧｃｉｉｏｉｉＮｾ＠ 111m (IlImCI.l' cm'lOmer allelil ioll, Tlte cOlI/bilimioll of al"Omatherapy prodilci (lml Balinc.n: cullure make Ihis pmdilci become IIlIique (/lid fill llOIlS in Ih e markel, III /his
research ajJcClil'c engillcel'ing approach based on K(llIsei Engineering was applied /0 dcvelop Balille.w!
arollla-thcrapy prodllcl, ells/allier personality type based 011 Hippocrates an(/ Galenlhem)' II'(lS il/l'Olved ill the
del'elop-IlICII/ process, According to ils l/IainlllOlil'{l/ioll, Illree re,Icarclt objcclil'cs lI'ere proposed (I) to generme lite nell'
､･ｾ Ｇ ｩｧｬｬ＠ concepl oj fJatiliese al'OlIwtlierapy prodllct usillg Prill cipal COII/POIICIII Analysis (PCA), (2) 10 it/ell/ify lite
,.elCI'WII prot/llct desigll cfelllell/ilsing Relic/method, (llid (3) to gellertltc Ihc qilallfi/icalion lll ode/ ojaroll/atheropy prot/llel desigllllsillg Fuzzy QU(lIItijiC(I{iOIl Theory 'T.-Ipe / (FQTTI), The result oj peA m elhod showed Ihe e.Xlrae-lioll oj KIV collected has beell redllced /l1'e/I'e compone/lls illlo aile prillcipal component 10 represell/ nell' design cO IIC:eplllamed "Balinese TradifiOllar (IlT). Ily 1I,\'illg Relic/ melhod, tell refewlIII desig ll elements have beell gen-erated frO Ill IlI'ell'c dc,\'igll clemellt,l' idelltified. According to tlt e resllft
0/
FQ7TI (lII(I/ysi.I'. a lille(lr ql/{//Ililmire lIIodei has beell /Jllill/o/' each personality I),[,e 10 explore Ihe relatiunship belll'eell CII.\'IOIlI er·s emotiO/wl feel ings(mel prodliCI de.\';gll elemellls, Framlliese models, de.\'igll support ill/OI'IIIa/ioll has been generaled to assisl product designers ill ､｣｣ｩＮｾｩｯｬｬ＠ making for tlt e IICII' Balillese prutiucl design . /n general. Ihe re.wlt shOl I'f'd that all design specijica/ioll of Balinese aroma/hemp)' prodllcf lI'ere ,w eciflc /01' e(lch {)er.wl/(lliIY (l1/{/most ojlhem Il'ere prodllc-live (IS Ihe /lew design rilles.
Keywords: Arolllalh cmpy prodllcl, KOl/sei Engineerillg, CII.\'to/1/er personality type, Fuzzy Quamific(IIio/l Theory
")'[)e-l
1. Introdu ct ion
Balinese :lromatherapy products such as aroma therapy scrub, incense, massage oil , soa p. :md man y morc, were coped hi gh value of bus iness sin!.:e Bali has chosen as "The Best Spa Des til1:llio n of The World in 2009" on SENSE Maga%ine versio n
f
I ], In addition, from 2009 to 2013, about 2.803.18 1 visi tors !.::l llle to Bali with 9.5%increased for eadl yea r [2]. Considering th is conditioll. in order to winning the competition in this se!.:lOr, the need of the develo pment of aromatherapy product has always been a challenge :lS well as the dl:lng in g of customer demands and expectat io ns.
Basically, Balinese aromatherapy prQ(lucts have such unique ness whi ch attracts the consuiller to buy thcm. This uniqueness refers to product Balinese sense which ha ve a big cOll1ributionlO make the product become flnllous in the Illarket [3]. where Wijaya [4J said that the famou s product refers to the product which w ulJ fu1fililhe customer need. Generally each customer has panicular criteria on wh ich they want 10 buy related to their personality, for instance, the extroven customers prcf!.: r gold color than black or grey. T he condition was su pponed by Jordan [5] who said that people tend to illl:lgine products as having personalities and they te nd to express a preference fo r products tlmt they perceive as re ne!.: ting their own personalities , Anot he r aspect that has important role o n prod-uct develo pment is prodprod-uct desi gn c lements which make the differences oflhe prodprod-ucts and gives the impres-sion to customers direct ly [6],
As me nt ioned previous ly_ ilalinese sense. custome r personality. and des ig n clements considered as three important dimensions that llIake Balinese :lroma therapy produ!.:t become famo us ill the mar ke t. In this rese:lrch,
K(lmei Engineering (KE) were chosen to synthesize these dimensions in orde r 10 develop Balinese
niltincse ArOm:llhcrapy t'roduel Devc!opment Ilnsed On KIlII.!"!'! Engineering Ant! Customer r ersouality Type for the impression. fee ling, or the image of something. In thi s research, the word:.> that represent impression. feeling. or image of customers about Balinese aromatherapy product is identified as K(lIlsei Words (KW ).
In thi s paper. Balinese ar01natherapy massage oil was c hosen as the rese:lrc h object to develop. Fuzzy Quan-ti !icaQuan-tion Theory T ype I were used to synthesize three dimensions of Kallsci. By \Is ing this method, ne w des ign formulat io ns were gene rated and represen ted by linear model approac h. Furthermore, the recommendation o f design clement combinat ion and proportion were obtained directly based on c usto mer personality type. In particular this inform:ltion obtained would be powerful especia ll y for product designer to develop the product in order to fulfil l customer subjecti ve pre ferences. Finally, according il s motivation, three main objectives were proposed illlhis research: (I) to ge nerate the new design conce pt of Balinese aromatherapy product. (2)
to identify the re le va nt produc t design element, and (3) to ge nerate the quantificat ion model of aroma therap y product design.
2, Met hodology
[image:10.605.47.565.275.559.2]The methodology was designed to accomplis h the research objectives. In th is paper, Bal inese aronmthempy ma s-sage oil has been chosen as product domain 10 develop. Furthermore. the research methodology is representcd in Figure I .
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Figure I. Rese:II'c h mf.'lhodo iligy n ow chari
The rescarch began with the identification of product domain as the research object. Afte rwa rd, the K \V were collected by interviewing the experts and followed by ge nerating" new Balinese arolllatherapy design concept to achieve the fir.it objective. Then to achie ve second objective, design clements were identified for each sample collected :lI1d were evaluated accordi ng to the new design concept to obtain the rele vant des ign clement. Finally, the new des ign concept and the product design clements wcre synthesized for cach customer pCr.iollality type to achicve the third research objecti ve. In this research. R language vc rsion 3. 1.3 were used as a tool of data pro-cessing.
3. New Des ign Concept Ide ntificat ion
In this phase. firstly twelve K(III:;ei words have bccn collccted by means interviewing the ex perts which illustmted Balincse aromathcmpy product consisted of "Unique", "Allracting", "'Exotic", "'N atu ra l", "Ba linesc product", "Luxurious", "Art istic", "Bri ght", "Tradi tional", "Fashionab le", "Eco-Fricndl y", alld "Transparent", Afterward, all thc Kmlsci words obtained have been evaluated by 30 customers of aroma therapy product using Likert scale (7
Balinese Aromathcr.1py I'rotlucl Dcvelopmel11 Based On Kamd Engineering Anti CuslOmcr Personalit y Type
scale). Thus, the resuh of evaluation has been analyzed using Principal Component Anal ysis (PCA) melhod in
orde r to reduce the dimension o f K W collected and followed by generating a new concept of product design[8].
To dep loy PCA in this research, first ly, defines X as a matrix of K \V evaluation for fJ dimensions o f KW which
denotes as X = {Xt. X 2 •. • . , x,,) where x/ € X. Then ca lculates the mean (jlj) of X for II product sample (i = 1,2, .. . ,
/I) which denotes as i\'I :; {PI,jll, ... ,jlp }' The next step is to calcu late the subtT3c t matrix between X and]'\"1 which
denotes as Y = lv/,)') ... )'p}. In order to sec the correlation between KW, compute the covariance o f matrix of y
which denotes as C wilh p x p dimensions. T hus. generate eigenvnl ue and eigenvector or c as fo rmul ated in (I)
where eigcnvector denotes :tS
n
= 1",. be ... bpj and eigenval ue denotes as i.:; (a/. a ... ., (lp).C * B =i.* B
( I )
According the resu ll of eigenva lue i .. it can be seen ,tbout how nlany principal component (PC) should be re.
tained and the result of eigenvec tors n showed the v(lille o f component' s loadi ng components. The result eigen.
value of each component is reprcsented in Fi !;;llre 2 and the result of componcnt loading factors in two dimension
of PC named PCA variables f;Ictor map is represented in Figure 3.
.
...
,
ｾ＠
.
"•
",
&
"
"•
"•
0
,
•
" "
00"'
Figure 2. T he r es ult of cige l1 \"a lul' Fi:;u r e J . V:trbbl es factor map (PC,\ )
According PCA rcsult . o ne princ ipal component which has eigcnvalue above I was gencrated to re prescnt
79.5 1 % orall the Kall.l"ei words as represe ntcd in Figure 2 and the KOII.l"ei words were grouped into their principal
component as seen in Figure
J" .
Based on PCA result, '"Balinese Traditional" (priucipn l component I) has beenchosen to cope the group as a new dcsign concept of Balinese aromatherapy product as the answer oflirst objective in th is research.
4. Rclcvant Design Elcmcnt Id cnt ili catioll
In order to answer the second research object ive. 25 Balinese aro matherapy massage o il ha ve been coll ected. The
resu lt o f design clement identification phase showed tha t there were 12 categories with 34 variance of design
clements which is represented in Table I . Rclicfa lgo ri thm [9J was deployed to determine which rele van t product
design clements lo r BT image. Basicall y, Relief method is a feature weight based mcthod inspi red by instance·
based leaming which de tccts those feature which nrc stat istically relevance to the larget concept [91.
T :ll1[ e I . T he result of d es ign clclU ent ide ntifi ca ti on
Dcsigll clement
Top shaJll: (X,) Body shape (Xl) lIeight Jnd width mtio (X)
Cuppc,l ornament alld bott le height ratio (X.)
Materia[ (X!) C3P color (X.)
Ornament itcm nlllnlJ.cr (X ,)
label theme (XI) Root in the boule (X.)
BOllte colQr (X10)
ｮｯｴｴ ｬ ･ｬ｜ｾＭＮ［ｫ＠ (X,,)
Copyright "0 201S lESS
A
,
-Wide Low PET Gold Few Flower E.,isl Tr.ulsparcnl E.,ist 2 ("
N3rrow Midd[e G[:" s White ,\Iid(lk NOIl·flowe r No ne Semi· transpa rentNone
3
,
'I
High
Grc>' U[ ack
Many
Non·tr.m.\parclll
[image:11.594.122.519.258.408.2]BalineSl: l\romalhCr!lI' Y Product De\,clopllIcnt l19sed On K(lII.w i En ginee rin g And Customer Personali ty Type
Lube! position (X I)) Annchcd I longed BOlh
The equation of Rel ief is represented as in (2). To deploy Relief in thi s research, fi rst. defi nes ,"UI design clement
asf, where F = ifl. ji ... / ", ). the weight of the ,1h design clement as \\ j'i where W = (1Ij1. IIp, .. .. lIfm j. and the result
ofcLlstomer eva luat ion fur 11/ dimensiona l features (i-= I . 2 .. ... /11) and /I sample size (/ ... I. 2 .... . /I) which denotes
as x" where X - IX'I .X' } •..• , x, .. ).
i · - II •
L L
diff(x"y/ＢＢ ﾷ Ｇ Ｂ Ｇ･ ﾷ Ｇ｣ＢｾＢＧＭＮＬＮＬＮ＠
__
II" :::
-I. (II _ \)
(2)
T radi tionally. Rclief equation above nms using pairwise between da ta record (x, and JI) where x, indicates an
instance of customer evalualion and Yi indicates an instance neighbor of
x,_
In equation above, fu nction di.ff(x,.YY
is calcu lated as in (3). where I"p is a Tange unit oUh{lesign cle ment ti) normalize the values of the function into the
interval
rO, II.
(3)
As in (3 ). jfpairwise between x, and):, arc in the sa me class, then the v;\luc of fu nction diffis negative, Otherwise,
function diffwill have a positive value when x, ,md YI arc in a difTerent cl ass. Kim and Rendell [9] said thatlhe
rclevalll feature s means the feaHires which ha s we ight above O. The result or weighlS of design cJemel1ls of Re i ief
which generated using It 1:lI1guage which threshold was set on zero (t = 0) is represen ted in Figure 4.
Figun .. of. Thl' resull of ｉ ｾ ･ ｬｩ｣ｲ＠ ,"elhod
Accordi ng the result . ten design clements whi ch ha ve the wcight of allribllle importance more than thresho ld
(lI'i> t) ha ve been generated ; IS the rele va nt design clemenls. These ten design elements consisted "X I", ·'X2".
"X3", "X4". "X5", "X6". "XT'. "X9". "X IO". and "X I 2". The result implies that designers should focus on their
alle ntiun more ti) these te n relevant des ign clemen ts when the design objective of the prudltct is 10 achi eve n desi rable OT image.
5. 8 :1 1incsc Arom at hcrapy Produ ct Fo rmulation Based on C ustomer Perso nality Type
In this phase, customer personal ity type was identified based on Hippocrates and Ga len theory who cl assify the personality inlo four basic personality types: ( I) Sanguine (animated. cheerful, humorist. extrovert. trendseller); (2) Choleric (strong. ad ve nturous, powerful, dominant); (3) Melancholy (analytical. individualist, detai ls, plan·
ncr. perfectionist): (4) Phlegmatic (friendly, easy goi ng. peace ful . shy. adapt3ble); (101. These personality types
3re the most popular and the oldest classifi C:lt ion o f personalities [ I I j. The evaluation was conducted IIsing
per-sonality questi oner test. From 30 respondent s guthered. the evn lu:t tion showed thai there were 9 sanguine, 10 melancholic. 3 choleric. and 8 phlegmatic that involved in this research ,
Afterwards. FQTTI was pcrfo nned to fi nd the relationship between qualitative descriptive variables thaI arc
given in values on [0. I I and numerical objec t variables in the fu zzy groups gi ven in the sample [ 121. FQ1T I
model liS represented in (4) means determining a linear fu nction o f categories that best e ... presses the stmclUre of
Ihe data by minimizi ng the object va riat ion given lind its error va riance.
,
y(cu) =
2:"""(,,,)
,.,
(4)In mOOel3bove, y(w ) expresses the objective function of lO th sample and /l1(W) is the degree of response to I,b
qualitative category (i " I. 2 .. ... K), which hilS va lues on [0. I I. The category weight (a) that mi ni mizes the error
variance is represented as in (5), In equation (5). matrix A denotes a set of K calegory weights. where A =: {ttl.
(/) .... , a .... }. Matrix X contains groups of qualitati ve categories of /I sample given which denotes as X = {II' (I), I"
Balinese ATonHlther.l]lY Prodnct Dcvelopment Based On ｋＨｉＯｊ Ｌｾ ｣ｩ＠ En gineering AmI Customer I'ersonnlit y Type
(1) ... 1/1("»). MatTi.'t( C is a diago nal matrix of fuzzy group B (jlB(W » that ex presses the fll7.zy set o f /I sample
£ivclI as dCIIOleS in
C
= diag (jlB(I).PB(l) ....• I/B( n». Finally. Ihe objecti ve fun ctions o f 11 sample given is con.tained in matrix \' which is dcJined as \' = {y ( I). Y (2) ... .. Y (II)), In thi s research. FQTTI method perfonned to
find the rela tionship between produc t design clements and customer personality lypC fo r describi ng inUl£c given.
A = (XTeX)·t XTCY (5)
To perfonn FQITI. first ly the new desig n concept for atl product sample were evaluated by these 30 respond.
ents IIsing Likert scale and Balinese sense o f the product was evaluated by experts. F U7.zy membership was then
generated from ex pert evaluation of l3al inese sense of the prodm:t wi th Li ke rt 7 scale and one category was sct to
represelll product B:tlinese sensc wi lh fuzzy membership ranged 0 to I . As :t res ult of the FQTT I analysis, fOur
prediction Illodels were gene rated to represent the relationship between product design clements and the given product images for each personality with considered the product Balinese sense.
Sanguine 's IlT '" 1. 186 X, 1
+
2.200 XI ｾ＠ - 0.266 XI.) - 2.997 XH + 0 .2 17 Xz t - 0.3 28 X11 - 0.0 10 XH + 0.244ｘ ｾ＠ 4
+
0.477 Xj I - 0.355 Xl Z + 0.808 X4 I + 0.23 0x.
l l - 0.9 16 Xu + 1.924 Xi r - 1.802 Xi.2+
1.41 8 Xr..1 - 0.189 ｘ ＶＬｾ＠
+
0.203 X6J - 1.310 X 64 + 0.677 X7 1+
2.875 Xu + 1.655 X7,l + 0.2 12Xlii - 0.090 X'H + 0.103 XIO 1 -0.577 XI01 + 0.596 Xl oJ + 2. 124 ｘｉ ｾ Ｎ ｉ＠
+
2.920 XI11 + 3.701X, l} (6)
In model (6) and Figure 5. c:ttcgory score indicates the pre ference degree of Sanguine's e motional feel ings on
each category variab lcs. If the grade is positi vc, the costumer' s emotio nallceling leans toward the I3T image. For
instnnce. in modcl ( II), the catego ry score of two selected va lues of the bottle ma terial (X5) in " BT" image nrc
1.924 and - 1.802 . This result shows thaI the Sanguine' s cmotional leeling prcters Ihe "13'1''' imnge if the bOllle material is "PET".
.,
,
ＢＭｾＮ＠
,
,
Fi gure 5. O l,IIIIIul11 ｣｡ ｴ ･ｬＡＰｲｾ Ｇ＠sc ore fu r sallj!uine desij!n
•
o
-
oｾ＠
.
o..
o...
-Fil!ure
6. I'ee
for 5l1111!ulne designIn Figure 6. panial cOlTelatio n coeffi cient (PCC) indic:ues the degree to whic h design element affects design
concept. According the resul t in Figure 6. the maximum PCC of sanguine "BT" image tends to cap color (X6).
The result means design clcment "cnp color" is mos t closely related to "B" " image among the others. Based on
Ihe mooels obtained . a design support information was ge nerated to figure 0111 the combination o f product design
clement in term of new concept g ive n. The resu lt of design support information is represellted in T:lbJc 2.
Tahle 2. Thc r esu l! of df.'sign su ppor t inform:! tion of IJT image Dcsib'TI carcgories Sangn u1<; Ch"li:rie ｾ ｴ ､Ｚ ＢＬ ｣ ｨ ｯｬＬ｣＠
T(lp shaJIC T)l lC 2 T)'IIC ) T)'IIC )
B (III ), slmpe T}pc -1 Type 2 T ype .j
IId ghl : widlh ｗｩ､ｾ＠ Widc Wille
COPIlCd ornalllCIl1 : boule height Low High Lo\\'
MMcria t I'ET Gb ss t'ET
CBtlcotor Go" Gold {irey
Ornamen t i1em used Ｑ＾ｴｩ､､ｬｾ＠ MallY Many
RoO! in Ih c boule E.tist None ｅｾｬ ｳ ｬ＠
Bonie tnmsparcncy Non.1r.'nsparcn1 Tr:lIIsparcn1 Tr:msparcnl
ubd posllion flolk llallKe<t ｉｴｾｉｉ ｈ･ ､＠
l'hlcgmallc T)'IH:2 Typ<: ., \V ide Midt!lc
I'ET Gvtd
Middle
NOllc
ｎｯｮ ﾷ ｴｲｾｉｉ ｓ ｜ｬ｡ｲｾｮｴ＠
I)olh
According the result represented in Table 3. the mosl influential desig n clement tends to "gold cap color" for
Sanguine. "body shape Iype 2" fo r Choleric, "n13ny o rnament item used" fo r ｾ ｉ｣ｬ ｮ ｮ ｣ ｨ ｯｬｹＮ＠ and "top shape Iype 2"
for Phlegmatic. Generally. all the result showed the relalio nship between ench personalit y :l1ld their Illost inflllelltinl design clement \\ hich te nd to refleci their personalities.
[image:13.596.99.493.578.702.2]Balincsc Aromathcropy I'roduct De\'c!opmellt Based On Kwuci Enginccrlng And Customer Personality Type
Parameters Ili ghcsl l'CC
ｄ｣ ｾｩｾｮ＠ levcl
Tahle 3. ｃｵｮ ｴｲｯｬｬｩｬＱ ｾ＠ desls n element for eac h personali ty
Cap color
Gold
Choleric
llody shape
Type 2
I>tclanchohc Ornamenl ;1<;rn used
Mnu)'
I'hlcgmahe
Top ｾｨ｡ｲ･＠
T)'IIC 2
In term of model evaluation, fisher exact lest was conducted to assess the rules productivity within design su pport information [13 j. Qne res()Qndenl was selected randomly for each personality nnd 0 .05 signi ficnnee thresh-o ld ((1 = 0.05) were used in th is test. T he mles of each design elelTlent were assessed for customer preference value above 4 related to BT concept. The productive mles were shown by the value of Fisher exac t test ::; a [ 13
J.
The resu lt showed that from 10 mil'S for each personality, there were 9 productive ru les for Sanguine and Melancholic,8
producti ve m il'S fo r Phlegmatic, and7
producti ve mles for Choleric. In ge neral. Ihe resu lt showed Ilmt the most of mles ge ncr.lted werc productive for each personalily design.6. Conclus ion
In this paper, a research has been conducted on Balinese arommherapy massage oil to demonstrate how Kame;
Engineering using FQTTI anal ysis were app lied 10 ussist product designers in deci sion maki ng oflhe new product design for e:lch personality type. The result of peA method showed the cxtnlctioll ofKW collected which reduced
12 K W into one word which represented:1 new design concept of Balinese arom:lther:tpy product named "Bal inese
Traditional"' ( BT). By using Relief ulgorithm. ten relevant design elements have been generated which consisted of top shape, body shape. bottle height and width ratio. copped ornament and bottle height ratio. bottle material. cap color. omamenl ilem used . rool in the bottle existence. bottle transparenc y, (lnd label position . According to the resu lt of FQTT I analysis, a linear <luant itativc model has bcen built for cach personalily type to explore the re lationship between customer's emotional fcelings and product design elements. From these model, the des ign s upport information has been generated 10 assist product designers in decision Illaki ng for Ihe new Balinese product
des ign. In genera l. the resu lt showed Ihat all des ign specifi cation of B;llillcse arol1lltlh cr;IJl Y product were s peci fi c for each persona l ity ;1IId most of them were productive as the new design ru les. By closer imp:liring thc product development o f 13alinese arol1l31herapy wi th customcr personality type, a higher degree of globa l demand may be expectcd both for business and community. For future research challenges are consisted of how 10 scale up with
a
reliable manufacturing and financial engineering process within an integrated production systcm.
7. n cfcrcnccs
11) Il)
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