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'2015,.:
THE 3
00INTERNATIONAL CONFERENCE
ON INDUSTRIAL ENGINEERJNG AND SERVICE SCIENCE
M eli a Purosani Hotel - Yogyakarta, 1 - 3 September 20 15
PROCEEDINGS
PROCEEDINGS
CREATING VALUE
THROUGH INNOVATION
Organized by:
Department of Industrial Engineering
Organized by:
Industriai Engineering Department, Institut Teknologi Sepuluh Nopember (ITS) Surabaya and
Universitas Atma Jaya Yogyakarta - Indonesia
Supported by:
Rajamangala University of Technology Suvarnabhumi (RMUTSB) - Thailand
Universitas Islam Indonesia (UII) - Indonesia
. ISSN:2338-.7939.
Edited by:
Iwan Vanany
Nani Kurniati
Dyah Santhi Dewi
Cover page
Preface
Table of Contents
• Welcome Speech from Conference Chair
• Welcome Message from Rector ofITS 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 ｾｯｭ｡ｲ＠ and Soehartati Gondhowiardjo. A Network-based Collaborative
Decision Making Model in Reducing Cervical Cancer Spread in Iridonesia. 13
: 3. ｅｲｩｬｾ｡＠ 'F.alma. De'yelopmentofSustainable,Tuna Processing lmlustry through System ｄｹｮｾｭｩ｣ｳ＠
.' Simulation.,:- , . '.' . ' -_ - ' , - , . . , . . . . ; ' " . ,
'20
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. Stefanus Eko Wiratno, Effi Latiffianti 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
I. Farida Pulansarl, Dwi Donoriyanto and Iriani. Performance Assessment Mechanism for Reverse Logistics Maturity Implementation toward Sustainable Manufacturing Systems: A Conceptual
Framework 42
2. Adi Budipriyanto, Budisantoso Wirjodirdjo, Nyoman Pujawan and Saut Guming. Berth
Allocation Problem under Uncertainty: A Conceptual Model Using Collaborative Approach 51
3. Nur Ulfa HidayatuUah and Ali Musyafa. Hazop Study on Fuel Distribution System Based on
Anfis Layer of Protection Analysis in Surabaya Installation Group PT Pertamina Tanjung Perak 59
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 Rachman, Ardian Rizaldi and M Mashuri. Relocating
Multiple-Tenants Logistics Center: Lesson Learned from an Air Cargo Terminal Relocation Project 74
6. Siti Nurmlnarslh, 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 Karningsih 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 [ndrawati and Muhammad Ridwansyah. Manufacturing Continuous Improvement Using
Lean Six Sigma: An Iron Ores Industry Case Application 111 4. Sri Hartini and Udisubakti Ciptomulyono. The Relathionship between lean and Sustainable
Manufacturing on Performance: literature review 117 5. Maria Anityasari and Aulia 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 Kurniati, Ruey-Huei Yeh and Jong-Jang Lin. Quality Inspection and maintenance: the
framework of interaction 140
Industrial Engineering - Operation management
l. Suhendi Irawan. The Effect of Choosing a Transportation Vendor and the Performance of Transportation Vendor on the Perfonnance of Shipping Goods to.Consumer: A Case Study of DB Schenker Freigh Forwarder
2. 'Jl,lgkritMahorait,.Sukanya WongJakron, Sumalee ｎ｡ｭｾｨｯｴ･＠ and.-Naruphot:a Oanwimon. Risk . Managemerit 6fVillage Funds in Muahg District, Suplianburi'l?rovince. - :. . :_
3. Susanto Sudiro and Sha'Ri Mohd Yusor. Managing WIP buffer with combination offeeding materials scenario and conventional control theory of single type of hospital bed production 4. Agung Sutrisno, Indra Gunawan and Stenly Tangkuman. Modified FMEA Model for Acessing
the Risk of Maintenance Waste
5. Fitemon Yoga Adhisatya, The Jin 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 of a 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 and I Ketut Gunarta. Integrated Production Planning and Scheduling for Mass Customization in Food Industry: A Conceptual Framework 11. Taufik Djalna and Wenny Dwl Kurnlatl. A System Analysis and Design for Packaging Design
of Powder Shaped Fresheners Based on Kansei Engineering
12.
Tauftk Djatna and Muhammad Raja Ihsan. A Fuzzy Associative Memory Modeling for Production Equipment Status Assessment13. 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
152-159
167
173
179
185
194
199
205
213
220
14.Sazll Tutur Risyahadi. Scheduling Model of Harvesting Strawberry Considering Product Decay During Storage
IS. 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 Plten. An influence of packaging design on customer purchase intention
17. Dewanti Anggrahini, Putu Dana Kamingsih and Martian 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
20. Mohamad Faisal Mohamad Sobri, Hawa Hishamuddln, Noraida Azura Md Darom' Disruption Pecovery for a Single Stage Production-Inventory System with Optimal Safety Stock
Industrial Engineering - Operation research
231
239 247
251
259
265 OMI
I. Wahyuda and Budi Santosa. Dynamic Pricing in Electricity: Research Potential in Indonesia 276
2.
Chirag Sancheti, Aditya Balu and Amit Kumar Gupta. Simulation based optimization ofproductivity using Flexsim 283 Bud! Santosa and 1 Gusti Ngurah Agung Kresna. Simulated Annealing Algorithm to Solve
...
".
Single Stage Capacitated Warehouse Location Problem (Case Study: PT. Petrokimia Gresik) 289
4.
Yuanita Handayati, Togar Simatupang andTomy Perdana. Value Co-Creation'in Agri-ChainsNetwork: A Hard Agent Based Simulation 298
5 .
Budi' Santosa .and Ade ,Lia Safitii. Biogeography-based Optimization. Algorithm 'for Single. Machine ｔｯｾ｡ｬ＠ ｗ･ｩｾｨｴ･､Ｎ＠ Tardiness Problem' .. , . 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 313
7. Sattarpoom Thaiparnit, Baramee Osateerakul and Danupon Kumpanya. Algorithm Design in Leaf Surface Separation by Degree In HS\' Color Model and Estimation of Leaf Area by Linear Regression 320 8. Danupon Kumpanya and Sattarpoom Thaipamil. Parameter Identification ofBLDC 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.
Yosephlne Suharyanti, Subagyo,Nur
Aini Masruroh and Indra Bastian. The Scheme of Product Development Process as a Trigger to Product Success: A Theoretical Framework 347 2. Ishardita Pambudi Tama and Wifqi Azlia. Development of Customer Oriented Product DesignUsing Kansei Engineering and Kano Model (Case study of Ceramic Souvenir) 355 3. Taufik Djatna, Luh Putu Wrasiati and Ida Dagus Dharma Yoga Santosa. Balinese
4. Dyah Santlll Dewi, Bambang Syairudin and Elca 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
I. (nvan Syahrir, Supamo and Iwan Vanany. Healthcare 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
5. Taufik Djatna and Rohmah Luthfiyanti. An Analysis and Design of Responsive Supply Chain for Pineapple Multi Products SME Based On ｄｩｧｩｴｾＱ＠ Business EcosYJ'tem (DBE)
6. Envin Widodo. A Model Reflecting the Impact of Producer Substitution in Dual-Channel
ｓｵｰｰｾｹＭｃｨ｡ｩｮ＠ Inventory Policy
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Determination of Distribution Center and Inventory Level in A Coconut Water Agro-Industry 8. Slamet Setio Wlgatl and The lin Ai. An Integratcd Production System Model for Multi SupplierSingle Buyer with Non Conforming 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 Pumawan .. \di Wicaksono. Optimal Strategy for Multi-product Inventory System with Supplier Selection By Using Model Predictivc Control
1l.lwan Vanany, Anny Maryani and Bilqis Amaliah. Blood Traceability System for Indonesian Blood Supply Chain
Industrial Engineering - Safety & Ergonomic
1. Natalie Carol Skeepers and Charles Mbohwa. A Study on the leadership behaviour, safety
390
398
404
408
416
423
43b"
436
443
450
457
leadership and safety performance 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 Nurmlanto, Udisubakti Ciptomulyono, Supamo and Sudiyono Kromodihardjo. Manual
Handling Problem Identification in Mining Industry: the Ergonomic Perspective 475 4. Wiyono Sutari, Mumi 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, Wlyono Sutarl and I1ma Mufidah, The Design of Working Desk of Batik Scraper by Using the Principles of Ergo no my 488
6. Budi Praptono, 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 Gamaby. The effectiveness of in-vehicle peppermint
fragrance to maintain car drivers' alertness 500 8. Yassierli, Manik Mahachandra and lftikar 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, Brillianta Budi Nugraha, Anugrah Kusumo P and Kristanto Agung
N. Head and Neck Movement: Simulation And Kinematics Analysis 518 II. Ronny Noriyati, Wisnu Rozaaq, Ali Musyafa and Adi Supriyanto. Hazard & Operability Study
And Determining Safety Integrity Level On Sulfur Furnace Unit: A Case Study In Fertilizer
Industry 525
12. Dyah Santhi Dewi and Tyasiliah Scptiana. 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 Nikcn Larasati. Sustainable Livelihood Framework As An Approach To Build Community Based Security 539 2. Ngurah Wira, AmelJa Kumiawati and Umar Yunan. The Design of Best Practice on The Media
Transfer Activities and Preservation Based on Knowledge Conversion with SECI Method 546 ,. ,'. 3. ｾｲｩ＠ 9unani P,!lr.tiwi, Elly ａｧｵｳｴｩｾｮｩ＠ and Anny Maryani. Preparati<?,O for Designing Busjness
Strategy of Bamboo Cultivation in Bori,dowQso: . , . . . : . . . '. . .... '. .
" "
... 552 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
l. Tri Ramadhan, Dermawan Wibisono, Reza Ashari Nasution and Santi Novani. Design of Self
Service Technology on Passenger Shipping Transportation Service System in Indonesia 566 2. Ratna Hidayati and Santi Novani. A Conceptual Complaint Model for Value co-Creation
Process 574
3. Mikhacl Tjhi, 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 Pradiva Arru and Santi Novani. Value Co-Creation in Solo Tourism by Using
Soft System Dynamics Methodology 60 I 6. Rizki S. Nurfitria and Mursyid H. Basri. Developing Clinical Pathway Model in Public Hospital
as Basic Component of Casemix System 609 7. Watcharee Phetwong and Krisom 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
l. Imam Djati Widodo and Hanvati Sutanto. AR MBA: Linkage Pattern of Visited Tourism
ｾｾ＠ ｾ＠
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. Iwan Vanany, Udisubakti Ciptomulyono, Muhammad Khoiri, Oody Hartanto and Putri Nur
ImanL 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 10gja Transportation 658 2. Zya Labiba and Mulih Wijaya. Improvement Quality of Industrial Training Center Through
Service Quality Based on Participation Perspective 663
Service Science - Supporting topics in service science
l. Gembong Baskoro. The concept of balancing Higher Education Institution (HE I) organization
towards global and regional challenges 670
2. Samhuri Ikbal Pradana, Amelia Kumiawati and Nia Ambarsari. Knowledge Management System Implementation Readiness Measurement in
pon
L1PI Based On People andI
Prot'cellillg of 11If11l$triu/ Ellgilleerillg 111111 Serl'ice Sdem'/! • 21) I 5
A System Analysis and Design for Packaging
Design of Powder Shaped Fresheners Based on
J(({l1sei
Engineering
Tautik Djalnu", \Venny Dwi Kllrniati b
' Postgraduate Prog ram
or
Agro Indust rial Tech nology. (logor Agricuhll r:l l University. Bogor 16680, Indonesia,taulikdjnt-ｾｩｰ｢Ｎ｡ＮＺＺＮｨｬ＠
Graduate Progra m of "gro lndustrinl Tech no logy. n ogor f\ gr icuJtura! ｕｮｩ ｜Ｇ ｣ｲ ｾｩ ｬ ｹＮ ＱＳ ｯｧｯｲ＠ 16680. Indonesia.
well-ｮｲ､ｫ ｙＡＡＬ ｊ［ＡｉｬＺｬｩｬＮｾ｜ＧＱＱＱ＠
ABSTRACT
1\'011/1'(11 fi'csheller s .well (IS l ea. coffee (llId c/wco/alc Ihal ＮｾＯ［ ｉｉｉ ｉｉｉＨｬｦ･＠ the lIelTC rc:.pollse 10 morc f1C:l il'C r estlltillg ill
jrc.\·her e.ffect fbI' 'h e 1I,I"Cr . Most of lea (lrc pnlccs.wd (IS powder shaped. CI/IT(:lIlly lea p0lI'der .I'liflll.lw / flu:
fra-diliollof packtlg ing which im:ulllpclcllce lrith illlc/'Iwli{)l1a/ compelitor. To ,\'Upporl CllstOIllCI' preferencc.\· and to improl'c sales of lea powdcr product. Ihe packaging design m/lSI bc allraclil·c. Ma in cO II/,.ibll l;OIl of lhis ｲ ･Ｎｾ･ ｡ｬＧ ｣ｨ＠
\\'(!I'e 10 idelltify Ihc design elCIII CIIl of packaging design, idenlify packagil,g design on Km/S/!i lI'or(h alldformll-laic Ih e lI ell' paekagillg deSign. KOllsei Eng illeering u'e!'c ｵ ｾＧ･ｦｩ Ｂ＠ ill creating a II CU ' illI'cllled fJ l'OdU Cf ill order fO
bridgc th e de.f ired product ch(lr(lcteristics ｊｏＢＧ｣ｯ ｉｉ ｓｉｉｉ Ｂ ･ ＬＮ ﾷＮｾ＠ perccption. The proceH modding phase for .fys/em mwlysis alit! des ign SUII'IS fro m Busillcss Process Model alld Notatioll (BPM!l.1] /0 gel the imprOl'clllelll of p ack-aging fi mctiol/ality. lI.mbili fy alld pleasurable. D (I /(I alld illfor mation were acquired by que.wiol/lwircs. The meth ods of K(lIIsei 1I'0rds It'it;' T"--ID"-, (111(/ fOl'llllll(llioll of packaging ､ ･ｾＧｩｧ ｮ＠ lI'ith QTT 1 approoch Th e 1'1'.\'1111 of thiJ' re.l'e(ll'ch sholl' thaI Ihe for lll lllfllioll of IIell' packaging ＨＯ･ｾ Ｇ ［ ｧｬｬ＠ 11';111 eye C(l/chillg s ll'(lIegy. lIIake the color i.f green, thc image is CIII), the typog raphy ｩＮｾ＠ custom and Ihe Ｎｾｉｷｰ･＠ ;.f ollruc/iI·c.
Kl.')'lI'ords: Kallsei Engil/eering. Packaging design. QTTI. System all(ll)'.\·i.\· (lilt! t!cJ'ign. TF-IDF.
I.lnlroduclion
Customizable designs disc riminate competiti veness bc tween companies. enhanc ing the qualit y and penetrating custo mer perception with beller and unique products. The problem faced by designer is how to match the ir product by developing preferred product for generic user or the spccific customers' perception. It is an oppor-tunit y to make improve mencs in to.: rms o f the appearance o f pac kaging do.:sign and p:lekaging qua lity. thus indi-rectly will result in increased preference, pleasure and satisfac tion of consumers. No wadays, consumers are stricter to choose the products in tenns of demand, needs. and preferences. Development product is a process in company to produce the Olltput prodllcts arc attracti ve lind fa vorcd by customers. Emotions feelings . creati vity and innovati ve as pect arc key to improvc customcr acceptance of prod ucts [II.
Packaging design be said to ha ve a slarting role tha t consumers must be passed in the dceision to purc hase a product. To bc able to innuence the consumcr's decision required a packaging design that is attracti ve and unique. The design should be able to touch the emotional side of the consumer. Emotional e;<perience in the packag ing is produced from seeing or touching the container 12). Having regard to the emotional side o f the consumcr to be produced pac kaging that ma y a ITect the interest o f potential buye rs to purchase the produc t. O ne of tile methods used to design the packaging of lhis is to usc the K(msei Eng ineering.
Kamei Engineering is defin ed as a tec hnology that translates for costumer' s Kallsei (psycho log ical fee ling) into design spec ificat ions
(31.
K(lilsei Enginccring is sometime use ful in creating a new invc nted produc t. De-veloping dcsign products through their own concepts. While consumers want their products in accordancc with the design feeling, fun ction and price o f the consumer.The exploration or KOllsei wo rds to be\'erage packagi ng design ac tuall y is not casy to dc fin e. although the data sets get rrom eustomcr I user respond. i\ ner the data constn lct in fonn decision tables, the next problem is vagueness to clearly dcfin e spcc ifi c relation fo r conditional attributes :tnd decision nttributc. Beverage packaging design is a unique olle because in packagi ng should consider clements att ributc with any info rmation abo ut product and other ha ve fu nction:l lity as protection (4 ). This is :l new example ofapplic:ltion of ｋ ｡ｬＯＮ ｾ･ｩ＠ Engineer-ing in paek:lgEngineer-ing design o f powdcr shapcd rrcshener. There were thrce main objecti ves in this research as fo l-lows: ( 1) identification thc desig n clcments o f packaging design. (2) identification packaging design on KmlSei
i\ Sysh:m AnJ lysis and Design for I'acbging Design of I'owder Shaped Freshel1cT:S lIased on Km,sei Eugil1eering Words and (3) fonnu lme the new packaging design. In the future be re(luired quantitative ami quali tative fonnu_ lation for adapti vc modcl of packaging design of Jlowde r shaped fresheners.
This paper
is
constructed as follows the related works fo r anal ysis and p:lekaging dcs ign system based on KEin Sec tion 2. the described o f methodology in Section J. Scction 4 present the result and discussion for applica_ tion e,"(ample o f proposed method to tea powder packaging design. In section S. main conclusion nre covered_
2. Rcl:ltcd Works
System is an integra ted sct o f intcroper3ble elements that wo rk ing synergistically to perfon n value-added pfO.-cessing and 10 s3tis fy the user wi th a specified outcome rSJ. Evcry system consists o rits inputs. entities, outputs, stakeholders. roles. constrains. etc. that need 10 be identified. The components that construct system entity arc presented in Figure
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KIll/sci Engineering (KE) is a technology that translates the Kmuei. or images. that consumers ha ve in thcir
minds regarding prod uct designs. Hybrid KCII/sci Engi neering is a type o f KE System (KES) by Forward KES
and Backward KES to fonn Hybrid KES. This type o f KE enables iter:ui ve process fro m design c lement to KlI/I·
.fei evaluation. Hybrid KE implement ation can be seen in the study of high heel desig n 16J and in the wo rk of{7J.
tv1cthod o f KlIl1Sei Engi neering is a method used to ide lll ify the psycho logical aspects of consumers when inter· ac ting with products and find the relationshi p bet wee n the fee ling :md the products [8 J. In practice. this mcthod has the characteristic fonn o f wo rds which symbolizes the desire of consumers to the produc t. which is called
Kal1sei words. The Kallsei wo rds into the va riables tha t wilt be ta ke n into conside rat ion in designing new pack-aging des ign.
There :Irc has three types of info rmation designers need to caplure the vis u:]1 system. name ly packaging de-sign. descriptions and rela tionships [9]. Stated in packaging design challenge is whether th e characteristic :ltlrib-ute- design elcment tlmt is able to attract the attention o f con sumer. and whether packaging is able to perlo rm the function in accordance with its properties ｛ｾ ｬＮ＠ The ch:lllenges in the packaging industry show des igners generate strongly about it and vislm lize the product in the fonn of simple and d feetive. leaving a posi ti vc perception to thc consumer or buy other among similar products [10 [. The properties of the packagi ng material and :Iffccth'c perception innuence consumer decisions such as hardness. abras ive, so ftness. smoothness and \\'a nn (6} and [10]. Thcre arc no effect the fon n of pac kaging to the consumcr purc hasing pre ferences [ II]. The dcsign cle-ments arc d ivided into stmctu ral packaging design and graphic surface. aga in in the top o f the fo nn and function. mnterial and eomplction. bra nding and typography. image and color I IOJ. The basic idea is the pac kaging design set of laye rs (silos). where each layc r has severa l alternative ｯｰ ｴ ｩｯｮｾ＠ (elements) :Uld the st3te thai attribute fonn clements such as logo design. nutrition and health statement. style (style). picture (im:lge). aroma (Ila\'or) and color (4]. A stud y o f traditional Chinese design food packaging (moon cake) with a focus Oil c lements of tc."(t. graphics. color and layou t [ 12J. The visual e lemcnts of packagi ng design is Ihe wo rd . gra phics, colors. trade-marks. shape. sile, te:-.: lUre (13 J. Research ro r wi ne packaging wilh design clements. label :lIld typog ra phy ｛Ｑ ｾ ｊＮ＠
3. Met hods
3. 1. Ilcqtt irc llIc llt A na lys is and Syste m J\ l nd e lin g
Process requirement anal ysis defin ed as first stage assessme nt in system approach and req uire to de velop a sys-tem properness. The aim' s in thi s stage is to defi ne fac tors in analys is syssys-tem in o ver311 stakeho lder. In this topic. a system or subsystem as it c."(ist within th e eooper<He sta ke holder may be graphicall y llIode l which show the boundary system and the informat ion Ilsed in the systeill . With anal ysis alld design. the production system Ih ut
1\ Syslem l\nu1YS1S mill Design fur r admging ｄ･ ｾ ｩ ｧｮ＠ (If I'owtkr Sha pcII ｆｲ｣ｾｨ｣ｮ｣ｲｳ＠ ｈ｡ ｾｬＺ､＠ on Kalllel Eng lll cerl us can improve the e ffid eney lind e rrecti ve ness in Ihe system especially in order 10 produce Ihe packa gi ng des ign or
tea powder by using the K(lme; engineerin g method WlIS produced. Ana lysis :md busi ness model ing using
I3PMN workflow using sof'tware sllch as Sybase Powe r Designer 16.0 (SA P. 201 3). In 13 PMN processes and sub processes anal ysis perrormed in the slud y in order 10 obl:lill l111 over:lll process fl ow.
3.2. Pa ckagin g Des ign Elemcnt Jd cn til1 ea ti oll
Identification or product des ign is the initi al phase 10 develop Ihe product design. In Ihis paper. we identify Ihe design of tea powder product in order to understand Ihe design de ments of tea powder product w ilh collecting sumples of lea powder product.
3.3. Packaging Design Elem ent 0 11 KllIB'ei Words
In this paper de tennined the attribu les o f packaging design based on KtllIsei wo rds in order 10 obtain correcl 10
design the packagi ng especiall y for tea powder. The Ktll/.H'i words were derived frOIl1 Ihe collecting in some
books. journal. inlernel. ctc. Then the KW was eX lr:ll:h:d !lnd gronpin g them by usi ng TF· JDF method th:lt; s one
or thc methods or text mining. From Ihis, represe ntuti ve K W IVere fina ll y chosen und become the stmlcgics or
desi gn product based on KW wh ich is answer the first objeclive in lhis p'lper.
TF-1DF stands fo r lerm frequeney- in\'erse documetH fre(llie ney. is a st;ctistic melhod lhal is intended to re-Oeet how importan t a wo rd is to a document in a colleclioll . It is a way to score Ihe importance of wo rds (or "tenn s") in a KW based on how freq uenl ly Ihey appear across multiple queslionnaires. The fo llowing ( I ) com-mon variant was used in ou r ex periments:
1V4= f .... xlog( ID [M·.D) (I)
Where wd is Ihe weight of the TF·IDF. {IV. is lhe frequency o f word w in documetH d, and D is lite lIumber
or doc uments in the lext collec tion. Nomlal izmion 10 uniJ length is generally applied to lhe resulting \'ee tors.
3.4. Pack agin g Des ign Forrn ula lion
Fonnu lation or tea powder packag ing design based on K.E is obtained as a resu l! of the itHeraC lion between
product dcsign s!ratcgies and design producl demcnls. Once more questionnaire were givi ng 10 consumcrs 10 evaluatc product properties based on strategy product Ihat wou ld ha\'e detennined before. Semantic differential scales (7 scales) were used here. Sca le with Ihe IWO ex tremes rangcs "1I0t at all" to "vcry much".
The resuh of the evaluation wcre synthesized by using qU:1I1lification theory Iype J (QTI1) I1Icthod. By using
this method, would get Ihe romllliation or packaging design of lea powder and il would answcred Ihe second
objecth!e of this paper. The QTT I can be regarded as
,I
mcthod or quant ilali\'e and catcgorical11lultiplcregres-sion analysis met hod, which allows incluregres-sion of independcnt variables tlmt are categorical and qual itative in
na-ture. The QTTI consist o flh e rollowir'3s six steps (Lin et al. 20 12):
Step I : defin e the K(lIlsei relational model associ al ed wi lh Ihe KllIIsci measure ment score of ex peri mental sample
wi th respeclto an image word pair. The calegorical nmltiple regression modcJ can be defined as (3):
jls -k _ ｾ£" 1= 1 ｅ＠ ｾ ＨＮ＠£" J- I
P
l/xIJS+
E (2)ｾＺ＠ '" the predicted value of criterion \'ariable ro r the ｩｾ＠ product sample 011 lhe
I/"
image word.= the index of design clemen!
E = the num ber or design e lemenl
j = the index or category
C. '" the number of category of the {A des ign element
E = a stochasti c variable whose expeclation valuc E(E )=0
Pij = che category score ofthe l style within the Ｏｾ＠ design clement
xi ls = the coeffi cient of lhe dumm y varia ble
Stcp 2: calcu late the standard ized regression coeffic ients (4) and standardi zed constant in modd (5). The model o f categorical multiple regression analysis can be redefined as (3):
(J)
P•
II-p
- I} - ; ; ｉ ｾ Ｈｲ＠£" Ja \p'
/Jxlls (4)Ｍｫ｟ｉ ｾ Ｈ［＠ k
Ys -;;£" j=\Ys (5)
A System AnalYSIS and Design for Packaging ｄ･ ｾｩｧｮ＠ of Po\\der Shaped Fresheners Based 011 Ktmsei Engineering
Step 3: Deteonine the matrix CCR of correlation coefficient of all variables. Step 4: Calculate the multiple correlation coefficient (R) that is regarded as the reJ:lIional degrce of ex tcrnal criterion variable and explanatory variables. Step 5: Calcu late the partia l correlation coeffic ients (PCe) of design elements to clari fy the relation. shi ps between product element and a product image. Step 6: Determine the statistical ra nge o f categorical varia. ble which ind icates its contri bution degree to th e pred iction mode l wit h respec t to a givc n product im3ge.
4. Result and Discu ssion
4. 1. Requirclll cnl An:tlysis and System Mode lin g
To analyze and to design production system by us ing KlII/sci engineering o n tea powder wit h to identify of all things that needed in whole system was begin. The system have three stakeholders. there nrc packagi ng ma nage r, designcr, and R&D mannger, there arc presented in Figu re 2.
ｓＬ Ｇ ｾ ｬ ･ ｬｬｬ＠ a n a lys is and d es it.: n for pac ka t.:1 n jt Iks l)! 11 " r le :l lI" wcl cr
I'",.)" ... .. ＬＮＬｲｰｉｾＮ＠
L'""""""
Ｑｾ ﾷＬﾷｲＢＬＬＬ Ｌ＠.. ﾷ ｾ＠I'.,bll-,nw Ｎ｜ｉｾＢＢｩｉＧＢ＠
1)."'1:fIO'1
K& 1l "", ... wel
O UTI' UT
ｾ ＢＧＧＧｍＬｉＮＧＧＧｈＧ＠
,,( '''' ..
[image:12.597.115.495.223.366.2]ｰ［ｉＢ ｾ ｡ｾ ｩＬＬｾ＠ ＬｫＮＬｾ Ｂ＠
Figure 2. SYS U' 1Il a nalys is :Ind d es ign for 1l:lckagin g des ig n of le:1 1'1Iwd l' r
Finally the l3usiness Process ｾＺ ｬ ｯ､･ｬｩｮｧ＠ and Not;ltion (I3PMN) that represent all detailed relationship between process. sub process. work now, stake holder. and fonnulation that involved in the system was bui ld. BPMN for the identifying packaging design clement. de tennin ing packaging design strategies with Kmlsei words and for· mulating product dcsign is presented in Figure
3. "
and 5.:,w(ily IIoQ ｾｩＧＩｨｉ＠ ｯｦ ｬＨ ｾｮ｜ｉｃＺｬＮ Ｌ ＧＩｉＢＤ＠
100 · ｉ ｾｏ＠
_ . 1<." lMl i ....
"'J(
• • h d 1(_00.; .... ｲ､ｬ Ｈｔｾｄｆ＠-- IE "[
at
'"
I
｣ｾ ｬ ｣｣Ｇ＠ I( . n.; .... '"1
.",1/"'''19;' .... t". ｾｧＯｬ ｴ＠ o/ltl"'! .... ""
'''''
112
".I . . ' ' ' ' ' . _ ...ｲｲ］ｻｾ＠
COUJ\! ｾｲＮｵ＠ rftlq .. "",J
- "j of ｾＢＬ｟Ｎｮｴｯ＠ 01 q ....
s"' ...
51."
laL
<o .. ＬｾＢＹ＠ Ｂ ＧＹ ｾ Ｑ＠" I K.n.'roQltI, ... ",I
ｔｆ ｾｄｆ＠ .... lhad
,.,
ｾ＠ KO".'_I<I .
1 (I: ､｣ ｴ ｣ ｮｮ ｬ Ｂ ｾ＠ｾ＠ ... ..,I
ｾ＠
..
ｾ＠
.
1
9-
--'
ｆ ｩ Ａ［ ｉｉｲＱ ｾ＠ J. IIPi\l N foT Id cnllfyln l,: nf design element pa cka!;ing
Copyrigh t 0 2015 lESS
,
Figure 4. l3I'i\l N for determining packag mg d esign on KUllu ; words
[image:12.597.29.545.439.829.2]r
t\ SYSIClll Analysis and Desig n for l'il<;kagi!'g Dcsig ll of Powder Shil!'!.:" ｆｬＧ｣ ｾ ｨｾｬ｜｣ｲ ｳ＠ flu \c d UII K<llIsd Engineering
d(llcrmino lo,",ul(lllo" of nnw p tlck:lging d""!l"
ＭＭＱ ｾ＠ de fine K on:;c l model ｾＬＬＺ｣ｬ＠ t,,: IW<l',m
I
samp l e " Hh Konsol worth
ｲｾ＠
COl",lI " tI coa rtisi')Il I<ItI''' "O '' sumdllfdI
Il n (1 (0"&11"10 mOdol SlllndtlrdＺｾ＠
ru:
oou"l lhc multipleI-'-
ｾ＠ CQ unlin!! cocffl:lonco trc t(l tlcII coa l/ie lenl corrolnllon lor fill 01 ｾｮｲｩｬｬ｢ｬＢｳ＠
J
[@
COlln t th e pa rt ia lIe;;
uan!!ote the mode l ... 1\' lz ｬｯｲｭｵｬｾｬｪｯｮ＠ dete rmin e 01 newcorrelA tion (looNlci.",! If· Iho" n ile
J pllcka!lI"!1 doS!)"
6
'"'
Figure 5. ,\ BI',\ ! N for form lli uli ng IHl Ckal!inl! dC5 igil wi t h QT T I
4. 2. llacbgin g Design Elem ent Ident ifi cat ion
Identify the packaging design of lea powder by collecting 10 lelL powder products. The identification of lea powder producls is prcscnlcd in Ta b le 1.
Dcsign clc'nem
Color
Image
Typcgrapll)'
ShJ[?C
R,d Cop Custom
T :. ble I . Iden lili n .l ion of 'Illc k:!!;in g d csill ll Ie:. (l owd er
Tvpc
,
)Yellow ｇｲｾ･ｮ＠
Leaf Tea Standard
AlIrnct;\'c S lim Robust
4 Blue
Artcr ide nl ify the design element of product. then classify them into thei r design elemenlS. The result o f the clas-sification is prcsenled in T a bl e 2.
T :.hlc 2, Classili cati on of p ackag ing d es i:;n d emen t
No s:unp[cs
,
Xl Xl,
XJ,
X4,
,
,
,
,
) )
,
,
,
4
,
,
,
5 4
,
,
)6
,
,
,
)7 )
,
),
,
,
,
9
,
,
10
,
)4.3. Pa ckaging Design Element on K(11I sei Words
The form ulation usc TF-IOF mel hod on Kamei words analysis, Colleeled 20 questionnaires about KOllsei words fro m conSUIllCrs, In T:lb lc 3, there arc the results of calculati on Kal1sei words by using T F-IDF from a hypothel-ical data of the questio ner. The result is showing Ihallhe K(jllsei words that have the highest weight is "bright", "modem", "simple", "eye catch ing" , From this resull, the slrategies for developing Ihe packaging design of tea powder product was de termi ned, Then th is result we re used for synthesis phasc to get the fomllliation of pack-aging design of lca powder product.
[image:13.596.31.539.32.820.2]A System Anal ys is and Design for I'ack.'l gin g Design o f Powder Sh,lpcd Freshene rs Q,Lscd 011 K ( III.I"(.!; Engineeri ,!!; Tahle 3. T hl' res ul l of ca lcu lation KW rrOIll Llu r slion nairc s b,· usin g 'n ;· lI)F
KGn ... : i wortls
,
l 4,
6 '0 fI'.tIIri \: ht 0 0 I II I II I 3.1 114
Beautiful II I I I 0 II I 2.856
Strangt 0 0 I II I I 3.013
Unique II I I I II 0 2.432
Colorful I I II 0 I II II 3. 121
Imcrc5ting I 0 0 0 I II II 3.0 10
Elegant II 0 I I 0 I I 2.HS(,
Trendy I II I II I II I 3. 121
MoliH Il I I 0 0 0 I 0 3. 183
Simpl e II 0 I 0 I II I 3.191
Look dil1hcnl I II II II II I I 2.662
E H c31 chin g I II II I 0 ｊ Ｎｬ ｬｉ ｾ＠
4.4. Packaging Desig n For mul atio n
Collecti ng the questionnai res for evaluate the existing samples produc t wi th design product strategies. These quest ionnaircs involve 10 samples product and 20 responde nts. The res ult o f hypothetical da ta of Ihis questioner is represented in Tahle -I . I3-D is bright and dull. 1 ... 10 - T RD is modem fl1ld tradi tional. the SoC is simple and
eomplc;'(, then EC-US is eye catching and un sightl y. Software R we re deployed on QTTI ana lysis to examine the
rela tionsh ip between the four product form eleme11ls and four product images.
Table 4 . E \'aluatin g s am p les p ac k ag in g d es ig n No
Xl X2 X3 X4 Uright - Dull MO<lcm - Tr:u!itional Simple - COlilpleX Eye ca tching - Un,ight ly samples
I
, , ,
4.30"'.
4.25 4.35, ,
,
4. 15 3.75 3.65 ·1.75l J
,
, ,
4.50 3.50 }.50 4.(,54
,
I 4. 10 4.25 4.05 4.<JO,
4,
J 3.75 4.0S 3.35 .1.656 I
,
2 J 3.35 4.50 3.55 ·1.00J l
,
J 3.70 4.S0 4,40 4.508
,
,
,
3.95 3,45 4.95 3.759
,
,
2.95'5'
4..1 5 H510
,
J 4A O 4AO 4 .00 4.00The QTr-l ana lysis method computation was generated by using program ming in R language and the resu lt was rep resented in Tah le 5. From Ihe Table 5 will know instantly [he recommendation of developi ng the com-bination packaging design on lea powde r product. The val ues in each calegory show the innuence level of lea powder packaging des ign produ ct. The highesl positivc va luc of category score in R2 was recommended. The
design support infonllalion of the new packaging design of le:1 I)owder is represented in Tab le fl. By
implement-ing Ihis system, the tea powder p<lck<lgimplement-ing design fonnu latio n was devcloped.
T a b le 5. Th e r es ull of QTT I an ah'sls
D D Mil - TRD S- C EC - US
Design elcmcm Cateyo!)' I'ce ･ｾｴ｣ｧｏＡＩ Ｇ＠ r ce ･ｾＡ･ｧｯｲｹ＠ rcc Category pee
score score score score
XII 0. 16'1 OA62 0.399 0.053
Xl X12 .0.284 0.3 15 ·0.60 1 0.77-\ ·0.30-1 0.60) ·0.,07 0.950
X13 0. 156 0. 109 -0.01·\ 0.5 13
X14 ·0.131 ·0.264 ·0.M7 ·0.317
Xl X21 0_283 0.522 0.1 11 0.336 O.J·I) 0.627 ｏ Ｎｏｏｾ＠ 0.106
X22 ·0.0124 ·0.166 ·0.5 14 ·0.012
Xl XJI ·0.523 0.630 0.2 19 0.0180 ·0.2-13 0.354 0.532 0.954
:02 0.224 ·0.094 0. 10-1 ·0.228
X41 0.709 0.3.16 0.239 0.327
X4 X42 0.286 0.645 ·0.157 0.525 0.3 16 0.632 0.057 0.807
X4 3 ·0.534 0.112 -OA5·\ -0.1 :)3
ConS!3n! 3.915 4. 185 4.015 4.)40
R 0.716 0.852 0.701 0.98)
[image:14.596.75.550.27.229.2]1\ ｓｹｾ ｴ ･ Ｑｬｬ＠ Anal) Sh and Do.'s igil for I'aela gmg Dellgn uf 1'0,,,lcr Shape.1 Fresheners Based on KIIIISI1 I I:nginec rin g
Tallie 6, Design $IIIJllllrt info l'm lil io n for th c nell' packaging ､ ｣ｾ ｩ ｧ ｮ＠ of t,'a IIUII d,' r
XI X2 XJ
ｕ ｮ ｾｨ ｴ＠ !)ull Modem Tl1ldll,onal Sltnplc ｃｯｭｰｬ｣ｾ＠
Eye c:lt chi"g UU$iUlll lv Culor BIll<: Ydlo" ｋ ｾ ､＠ ),d lo" R,d Blue Green Blue
5. Co nclu sion and Reco mmendation
Ima!!c T vpo Sl1lphv
Cup Custom
tcar lca St311dard
Cup Custom
" caf tca Standard
Cup S talldard
Lcaf lca Custom
Cup C II,' (O' )1
Leaf(ca S(:lIulll rd
X4 Shape Attractil'e Robust ALlI1lClil'c Stirn Slim Rvbu s( ｬ ｜ ｴｴ ｭｾｬ ｩ ＬＧ｣＠ Robus!
The results o f this research sho w Ihe sys tem consists of lhrce sta ke holders there arc pac kaging manager. designer.
and R& D manager. The ide ntificat ion o f lea powder p;lckaging design. consisted o f four design clement the re
arc color. image. typography and shape. Tlw design of tea powder packaging <!csign on K fl llSei wo rds fall into four categories of bright, modern. simple. and eye cat chi ng. Finally, the form ulation of new packaging design o f tea powder obtained using
KE
in which tea powder pac kag ing design wi th eye catching strategy has the highestR 2 so thai tilled 10 statistical mode l. very import ant and recommended, I n orde r to realize th is design in green color. cup-shaped. with customized typography, In Ihe future be requ ired quanti t!!t ive and qualitati ve for adap-ti ve model o f pac kagi ng design o f powder shaped fresheners others.
6. Refe rences
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30.658 - ( 7) .
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1l2) Qing H, K3i Z .Chcll MR . 201 2. Packaging Design Research and ａｮｾｬｹ ｳ ｩ ｳ＠ Based on Gmphic Visua1. IPCSIT. ｓｩｮ ｧ ｾＮ＠
pore. 28.
f13 1 Wnng KC. Chen SM, 2007. " I' rodu ct FOfUl Design Usi ug Anfi s·K E Modc1." IEEE.
[l oll Orlh UR, Ma lkewit7.. 2006. I' aekaging Design Itesearc h and I\ual ys is IJ llsed on Gmphie Visua1. IlIIema lional wine business research Monplier,
