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Journal : Tibuana : Journal of Applied Industrial Engineering

Data Modelling To Determine Room Rate with Adaptive Network Based Fuzzy Inference System And Particle Swarm Optimization Sulthony, Fahd; Lukmandono; Prabowo, Rony
Tibuana Vol 3 No 02 (2020): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.3.02.2564.48-57

Abstract

Determination of room rate in a hotel isinfluenced by two factors, namely internal andexternal. From an external perspective, PT. PIMhas eight competitor hotels that affect its roomrate. The Hotel Manager analyzes eachcompetitor's room rate changes to staycompetitive. Human analysis has severalshortcomings: subjectivity, fatigue andinconsistency. Then we need a decision supportor decision companion machine to determine theroom rate. ANFIS-PSO is a hybrid algorithmfrom the Adaptive neural network based fuzzyinference system (ANFIS) by utilizing ParticleSwarm Optimization (PSO) optimization.Traditional ANFIS is Gradient Decent (GD) asan algorithm for parameter optimization (model).This often happens to be stuck to get optimallocal results, to overcome this PSO is used as asolution. The results obtained from the ANFIS- PSO training contained a difference of Rp.3173,187 or a percentage of 1.34%. From themodeling obtained applied to the hotel PT.PIM,with the result of an increase in revenue of Rp.17,493,548. The conclusion obtained is thatANFIS-PSO can help managers to determine theroom rate by modeling data obtained from theANFIS-PSO method. Suggestion for thedevelopment of this research is that ANFIS-PSOhas a complex complexity of training algorithmsbecause there is a combination of twoalgorithms, so to make it better a differentalgorithm design is needed.
INTEGRATION OF LEAN AND GREEN MANUFACTURING TO SUSTAINABILITY IMPROVING AT PT. TEXTILE JAYA GEMILANG Prabowo, Rony
Tibuana Vol 2 No 02 (2019): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.2.02.1923.14-25

Abstract

Textile Jaya Gemilang is a textile company that has a cotton fabric finishing unit. In the identification carried out the company still produces waste and has not yet carried out an environmentally friendly process. Therefore efforts are needed to identify waste in the process of finishing woven fabrics to make the process environmentally friendly by considering the level of eco efficiency and eco costs to determine the proposed process that is environmentally friendly. This research includes steps such as analyzing value stream mapping to find out activities that have value added and categorized as NVA. Furthermore, measurements of environmental impacts were carried out with LCA (Life Cycle Analyzing) and then gave a proposal to provide a proposed process with the 6R approach (reuse, reduce, recycle, remanufacturing, recovery and redesign) in the process of finishing cotton cloth obtained by waste, namely in appropriate processing, defect and waiting time . The results of the Life Cycle Assessment showed results for a process of 248.76 pt, for Life Cycle Impact Assessment Damage Category Human Health of 4.8813 DAILY, Damage Category Ecosystem Quality of 310,000 PDF * m2yr and for Damage Category Resources 1615,646 MJ surplus . Eco cost is Rp. 608,425,018.2. Proposed environmentally friendly process by raising the level of green manufacturing to recycling and reuse.
INTEGRATION OF LEAN AND GREEN MANUFACTURING TO SUSTAINABILITY IMPROVING AT PT. TEXTILE JAYA GEMILANG Rony Prabowo
Tibuana Vol 2 No 02 (2019): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.849 KB) | DOI: 10.36456/tibuana.2.02.1923.14-25

Abstract

Textile Jaya Gemilang is a textile company that has a cotton fabric finishing unit. In the identification carried out the company still produces waste and has not yet carried out an environmentally friendly process. Therefore efforts are needed to identify waste in the process of finishing woven fabrics to make the process environmentally friendly by considering the level of eco efficiency and eco costs to determine the proposed process that is environmentally friendly. This research includes steps such as analyzing value stream mapping to find out activities that have value added and categorized as NVA. Furthermore, measurements of environmental impacts were carried out with LCA (Life Cycle Analyzing) and then gave a proposal to provide a proposed process with the 6R approach (reuse, reduce, recycle, remanufacturing, recovery and redesign) in the process of finishing cotton cloth obtained by waste, namely in appropriate processing, defect and waiting time . The results of the Life Cycle Assessment showed results for a process of 248.76 pt, for Life Cycle Impact Assessment Damage Category Human Health of 4.8813 DAILY, Damage Category Ecosystem Quality of 310,000 PDF * m2yr and for Damage Category Resources 1615,646 MJ surplus . Eco cost is Rp. 608,425,018.2. Proposed environmentally friendly process by raising the level of green manufacturing to recycling and reuse.
Data Modelling To Determine Room Rate with Adaptive Network Based Fuzzy Inference System And Particle Swarm Optimization Fahd Sulthony; Lukmandono; Rony Prabowo
Tibuana Vol 3 No 02 (2020): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.3.02.2564.48-57

Abstract

Determination of room rate in a hotel isinfluenced by two factors, namely internal andexternal. From an external perspective, PT. PIMhas eight competitor hotels that affect its roomrate. The Hotel Manager analyzes eachcompetitor's room rate changes to staycompetitive. Human analysis has severalshortcomings: subjectivity, fatigue andinconsistency. Then we need a decision supportor decision companion machine to determine theroom rate. ANFIS-PSO is a hybrid algorithmfrom the Adaptive neural network based fuzzyinference system (ANFIS) by utilizing ParticleSwarm Optimization (PSO) optimization.Traditional ANFIS is Gradient Decent (GD) asan algorithm for parameter optimization (model).This often happens to be stuck to get optimallocal results, to overcome this PSO is used as asolution. The results obtained from the ANFIS- PSO training contained a difference of Rp.3173,187 or a percentage of 1.34%. From themodeling obtained applied to the hotel PT.PIM,with the result of an increase in revenue of Rp.17,493,548. The conclusion obtained is thatANFIS-PSO can help managers to determine theroom rate by modeling data obtained from theANFIS-PSO method. Suggestion for thedevelopment of this research is that ANFIS-PSOhas a complex complexity of training algorithmsbecause there is a combination of twoalgorithms, so to make it better a differentalgorithm design is needed.
Co-Authors Achmad Agung Ahmad Puji Suryanto Andri Erawati Angga Novian Virana Putra Ar Rafli, Ferdiansyah Arfian, Auly Fajar Arief, Saiful Arif Nurfadli Ariyanti, Ulfa Dwi Auly Fajar Arfian Bamatraf, Lutfia Basalamah, Muhammad Ridwan Cahyaningsih, Sekar Dwi Mei Riya Ristanti Dwicahyani, Anindya Rachma Erawati, Andri Erdhianto, Yoniv Erryx Setiawan Esty Poedjioetami Evi Yuliawati Evi Yuliawati Fahd Sulthony Farahlia Rachmi Farid Ardyansyah Hastawati Chrisna Suroso, Hastawati Chrisna Hery Murnawan, Hery Hidayah, Manarul Hikam, Syandi Bhaskara Irwanto Hadi Husada Irwanto Irwanto Ishaq, Ardan Maulana Jajang Dimas Yogantara Kadek Yaniza Ayu Tantri Devi Lukmandono Lukmandono Marnoto, Marnoto Maulana Idris Zoelangga Moch Kalam Mollah Moch Kalam Mollah Moch. Kalam Mollah Moch. Kalam Mollah Muchammad Alfan Lutfianto Muchammad Alfan Lutfianto Muhammad Abdul Hafizh Muhammad Singgih Nugraha Muhammad Utsman Burair Mukti, Gatot Basuki Hari Ni Luh Putu Hariastuti Nugraha, Muhammad Singgih Nurfadli, Arif Pranakusuma Sudhana Pratama, Andreas Dhiyong Rangga Kurniawan Budianti Rio Adi Trisna Rizal Aditia Rizky Stighfarrinata Rusman Rusman saul weipsa Setiawan, Erryx Sony Wijaya Sudhana, Pranakusuma Sugiarto, Vito Andrianto Pratama Suhartini - Suhartini Suhartini Suliswanto Suliswanto Sulthon, Ali Sulthony, Fahd Suparjo Suparjo Suparjo Suparto Suparto Suparto Suparto Suryanto, Ahmad Puji Syamsuri Syamsuri Syandi Bhaskara Hikam Ubaid, Zaky Ulfa Dwi Ariyanti Vangesti, Wanvia Yoang Enggaling Sarosa Yogantara, Jajang Dimas Yoniv Erdhianto