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Peer Reviewers Peer Reviewers We thank the peer-reviewers for their contribution: Danny Prabowo Soetanto, Scopus ID: 55956830100 (h-index = 10), Department of Entrepreneurship, Lancaster University, Lancaster, United Kingdom, Subject Area: Business, Management and Accounting, Engineering. Anthony Halog Basco, Scopus ID = 14919073000 (h-index = 18), School of Geography, University of Queensland, Brisbane, Australia, Subject Area: Environmental Science and Engineering. Indra Gunawan, Scopus ID= 23090981300 (h-index = 14), University of Adelaide, Adelaide, Australia, Subject Area: Reliability Engineering, Australia Budhi Arta Surya, Scopus ID=15756212800 (h-index = 4), Victoria Universsity of Wellington, New Zealand, Subject Area: Portfolio Optimization, Econometrics, Statistics, New Zealand Markus Hartono, Scopus ID = 36055120100 (h-index = 6), Department of Industrial Engineering, University of Surabaya, Indonesia, Subject Area: Ergonomics, Indonesia Takashi Irohara, Scopus ID: 6602294372 (h-index = 9), Faculty of Science and Technology, Sophia University, Tokyo, Japan, Subject Area: Decision Science. Andre’ Liem, Scopus ID: 30767640400 (h-index = 6), Department of Product Design, Norges Teknisk-Naturvitenskapelige Universitet, Trondheim, Norway, Subjcet Area: Product Design. Hindriyanto Dwi Purnomo, Scopus ID = 42462221100 Scopus (h-index = 6), Department of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia, Subject Area: Optimization. Bernardo Nugroho Yahya, Scopus ID = 24529414200 (h-index = 7), Department of Industrial and Management Engineering, Hankuk University of Foreign Studies, Seoul, South Korea, Subject Area: Industrial Engineering. Eka Budiarto, Scopus ID = 36940953300 (h-index = 3), Swiss German University, Bumi Serpong Damai, Tangerang Selatan, Indonesia, Subject Area: Mathematical Modeling . Gan Shu San, Scopus ID: 56549544900 (h-index = 4), Department of Mechanical Engineering, Universitas Kristen Petra, Surabaya, Indonesia, Subject Area: Mathematical Modeling. Iwan Halim Sahputra, Scopus ID = 23974867900 (h-index = 6), Birmingham University, Birmingham, United Kingdom, Subject Area: Material Technique, Engineering. Indriati Njoto Bisono, Scopus ID = 23974338400 (h-index = 2), Department of Industrial Engineering, Universitas Kristen Petra, Surabaya, Indonesia, Subject Area: Experiment Design, Indonesia Ronald Sukwadi, Scopus ID = 36519769800 (h-index = 6), Department of Industrial Engineering, Universitas Katolik Indonesia Atma Jaya, Jakarta, Indonesia, Subject Area: Decision Science. Yugowati Praharsi, Scopus ID = 55217632800 (h-index = 3), Politeknik Perkapalan Negeri Surabaya, Indonesia, Subject Area: Optimization. Liem Ferryanto, Scopus ID = 16416505600 (h-index = 2) Applied Material, Sunnyvale, California, USA, Subject Area: Sig-Sigma. The Jin Ai, Department of Industrial Engineering, Universitas Atma Jaya, Yogyakarta, Indonesia, Subject Area: Particle Swarm Optimization, Vehicle Routing Problem, Inventory Management, Industrial Engineering. Hendy Rahardjo, Scopus ID = 23668695500 (h-index = 14), Chalmers University of Technology, Chalmers, Sweden, Subject Area: Quality Management, Statistical Engineering, Healtcare, Improvement. Henry Pribadi, Prasetiya Mulya Business School, Jakarta, Indonesia, Subject Area: Business Management. Inggrid Inggrid, Australian National University, Canberra, Australia, Subject Area: Econometrics, Economics. Jani Rahardjo, Department of Industrial Engineering, Petra Christian University, Surabaya, Indonesia, Subject Area: Total Quality Management, Six-Sigma, Decision Science. I Nyoman Sutapa, Scopus ID = 36835715800 (h-index = 1), Department of Industrial Engineering, Petra Christian University, Surabaya, Indonesia, Subject Area: Supply Chain Management, Reverse Engineering. Tanti Octavia, Scopus ID = 57142512500 (h-index = 1), Department of Industrial Engineering, Petra Christian University, Surabaya, Indonesia, Subject Area: Warehouse Management, Industrial Engineering, Indonesia Suprayogi, Scopus ID = 45261558800 (h-index = 5), Department of Industrial Engineering, Institut Teknologi Bandung, Indonesia, Indonesia, Subject Area: Transportation and Distribution, Maritime Logistic, Operation Research, Soft Computing and Algorithm Design. Articles Economic Order Quantity Model for Growing Items with Incremental Quantity Discounts, Capacitated Storage Facility, and Limited Budget Yosi Agustina Hidayat, Veterina Nosadila Riaventin, Okky Jayadi Application of Ensemble Empirical Mode Decomposition based Support Vector Regression Model for Wind Power Prediction Irene Karijadi, Ig. Jaka Mulyana 11-16 Perceived Usage of E-Wallet among the Y Generation in Surabaya based on Technology Acceptance Model Dewi Pertiwi, Widjojo Suprapto, Eric Pratama 17-24 PDF Ergo-Biopsychosocial Approach to Support the Quality of Life of Small Housing Inhabitants Markus Hartono, Antonius Johanes Tjahjoanggoro, Marselius Sampe Tondok, Indri Hapsari 25-36 Statistical Learning for Predicting Dengue Fever Rate in Surabaya Siana Halim, Felecia Felecia, Tanti Octavia 37-46 PDF Eco-Efficiency of Pencil Preduction Using Life Cycle Assessment to Increase the Manufacture Sustainability Ratna Purwaningsih, Christoper Frans Simanjuntak, Zainal Fanani Rosyada 47-54 Multi-response Characteristics Optimization of a Paper-based Composite using Taguchi Method and Particle Swarm Optimization Phengky Pangestu, Azizah Hadny Qurrota Ayun, Rizca Tri Wulandari, Ekty Nabilah, Eko Pujiyanto 55-64 Readiness Factor Identification on Kabupaten Karawang SMEs towards Industry 4.0 Era Rianita Puspa Sari, Deri Teguh Santoso 65-74 Jurnal Teknik Industri, Vol. 22, No. 1, June 2020, DOI: 10.9744/jti.22.1.25-36 ISSN 1411-2485 print / ISSN 2087-7439 online Ergo-Biopsychosocial Approach to Support the Quality of Life of Small Housing Inhabitants Markus Hartono1*, Antonius Johanes Tjahjoanggoro2, Marselius Sampe Tondok2, Indri Hapsari1 Abstract: A study on the intervention of human factors engineering (known as ergonomics) on sustainable living based on biopsychological needs was conducted, taking samples of small housing inhabitants. In total, 90 participants were involved. Those who were living in small housings have a significant challenge of how to live comfortably given very limited space. The measurement of the quality of human life through WHOQOL-BREF (World Health Organization Quality of Life- BREF) and ergonomics-based usability were used to describe the current human well-being satisfaction, to propose the modified physical facilities, and to validate the proposed design and improvement. Regarding ergo-biopsychosocial approach, this study showed that there was a close relationship between the comfort of the physical environment and the satisfaction of biopsychosocial aspects of inhabitants. The implementation of more ergonomic multifunctional facilities and furniture has brought significant impact on the inhabitant’s quality of life. Hence, the principle of human needs to be more humanized was proven. Keywords: Biopsychosocial, ergonomics, sustainability, quality of life, small housing. Introduction at home will bring a significant impact to all indivi- duals to live in. The Quality of life (QoL) is a very interesting topic in any form of human activity. QoL and well-being are It is quite challenging to see and recognize people closely significantly related. There are 4 components living in a relatively small space and dimension in a of subjective well-being closely related to QoL [1, 2], high-rise building. It may refer to flats, which usually namely, pleasant affect, unpleasant affect, life satis- have a total area of less than 25 square meters. The faction, and domain satisfaction. Related to life dramatic adaptation and regular adjustment are satisfaction and quality, humans have a common required to those who are living in that small housing desire to change their life, recall their past, and think in terms of daily activities and movements. It, poten- of their partner’s life. The quality of human life is tially, leads to quality of life and living performance [3]. Due to the rapid social, economic, and environ- defined as a situation of a person or individual mental growth in city urban area, living and staying receives sufficient value and context according to his in a small vertical housing has been popularized. Lo- perception. It includes personal, psychological, physi- cal government has introduced and approached the cal, mental, social, and environmental-based safety local inhabitants to stay, thereby providing sufficient and health. physical facilities such as public kitchen, parking lot, rest area, children playground and so on. It looks like QoL is not only covering employment and wealth, but an apartment complex with a very simple and ordi- also a good environment, mental health, recreation, nary scope of facilities. The dimension of a small and social belonging. It concerns the improvement of housing is meant to be enough to live in simply. people's goals within major life settings. Staying at Actually, living in a smaller house is increased signi- home with family is also considered a significant com- ficantly nowadays. It may be driven by the practi- ponent of QoL life settings. It is concerned with the cability of living style, economic value, facilities degree to which the individuals enjoy their own qua- provided, and social factors. Other reasons may lity of life within the family setting. More importantly, include the potential for stratification to reduce
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