IOP Conference Series: Materials Science and Engineering

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LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Prosiding (Artikel) : Dynamic Optimization Approach for Integrated Supplier Selection and Tracking Control of Single Product Inventory System with Product Discount

Nama/Jumlah Penulis : Sutrisno, Widowati, R. Heru Tjahjana/ 3 orang Status Pengusul : penulis ke- 2

Identitas Prosiding : a. Nama Prosiding : IOP Conference Series: Materials Science

and Engineering

b. Nomor ISSN : 17578981, 1757899X c. Volume, nomor, bulan tahun : 893 (2017) 012067

d. Penerbit : IOP Publishing

e. DOI artikel (jika ada) : :10.1088/1742-6596/893/1/012067 f. Alamat web Prosiding

URL PROSIDING : https://iopscience.iop.org/article/10.1088/1757-899X/166/1/012028 URL ARTIKEL : https://iopscience.iop.org/article/10.1088/1757-899X/166/1/012028/pdf

g. Terindeks di Scopus : SJR 0.201 (2017)

https://www.scimagojr.com/journalsearch.php?q=19700200831&tip=sid&clean=0

Kategori Publikasi Prosiding : Prosiding Internasional Terindeks (beri pada kategori yang tepat) Prosiding Internasional

Prosiding Nasional Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Reviewer

Nilai Rata-rata Reviewer I Reviewer II

a. Kelengkapan unsur isi prosiding (10%) 2,70 3.00 2.85

b. Ruang lingkup dan kedalaman pembahasan (30%) 8,37 7.00 7.69

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

7,65 7.00 7.33

d. Kelengkapan unsur dan kualitas terbitan/prosiding (30%)

8,25 8.00 8.13

Total = (100%) 26.97 25.00 25.99

Nilai Pengusul = 40% x1/2 5,39 5.00 5.19

Semarang, April 2020

Reviewer 2 Reviewer 1

Prof. Dr. St. Budi Waluya, M.Si Prof. Dr. Basuki Widodo, M.Sc

NIP. 196809071993031002 NIP. 19650506 1989031002

Unit kerja : Matematika FMIPA UNNES Unit kerja : Matematika FSAD ITS

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and Engineering

Nilai Maksimal Prosiding

Nilai Akhir Yang Diperoleh Prosiding

Internasional Terindeks

Prosiding Internasional

Prosiding Nasional

a. Kelengkapan unsur isi prosiding (10%) 3,00 2,70

b. Ruang lingkup dan kedalaman pembahasan (30%)

9,00 8,37

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

9,00 7,65

9,00 8,25

Total = (100%) 30,00 26.97

Nilai Pengusul = 40% x1/2x 26,97 = 5,39 Catatan Penilaian artikel oleh Reviewer :

1. Kesesuaian dan kelengkapan unsur isi prosiding :

Penulisan artikel baik dan mengikuti standard penulisan artikel di Prosiding IOP Conference Series: Materials Science and Engineering, yaitu abstract, Introduction, Result and Discussion (IRaD), Conclusion, dan Acknowledgement. Belum memuat Methodology. Artikel ini didukung dengan referensi yang sesuai.

2. Ruang lingkup dan kedalaman pembahasan:

Lingkup bahasan dari artikel ini adalah bidang matematika terapan, khususnya pada bidang riset operasi (pemrograman dinamis). Dalam artikel ini dibahas dengan baik tentang optimasi dinamis / multi-tahap untuk menyelesaikan permasalahan pemilihan pemasok dan kontrol pelacakan yang terintegrasi pada sistem inventori produk tunggal dengan diskon produk. Relevansi hasil terkait dengan strategi optimal dalam pemilihan pemasok.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi :

Informasi yang disajikan cukup baru dan hasil yang diperoleh memuat substansi orisinil dengan aspek aplikasi yang penting Sumber gagasan penulis untuk artikel ini banyak, komprehensif dan update, yang lebih sepuluh tahun terakhir hanya 4 paper dari 13 sumber yang dirujuk. Methodologi belum disebutkan dalam artikel ini.

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4. Kelengkapan unsur dan kualitas terbitan:

Artikel memenuhi standard penulisan dan isi untuk jurnal internasional IOP. Artikel ini diterbitkan tahun 2017 di jurnal internasional IOP yang terindeks di Scopus.

Surabaya, 17 April 2020 Reviewer 1

Prof. Dr. Basuki Widodo, M.Sc NIP. 19650506 1989031002 Unit kerja : Matematika FSAD ITS

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and Engineering

Nilai Maksimal Jurnal Ilmiah

Nilai Akhir Yang Diperoleh Prosiding

Internasional Terindeks

Prosiding Internasional

Prosiding Nasional

a. Kelengkapan unsur isi prosiding (10%) 3,00 3.00

b. Ruang lingkup dan kedalaman pembahasan (30%)

9,00 7.00

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

9,00 7.00

9,00 8.00

Total = (100%) 30,00 25.00

Nilai Pengusul = 40% x1/2x25.00= 5.00

Catatan Penilaian artikel oleh Reviewer :

1. Kesesuaian dan kelengkapan unsur isi prosiding:

Kesesuaian dan kelengkapan unsur isi baik. Artikel tersusun dalam kaidah penuliasan karya ilmiah. Terdiri atas 5 bagian:

Introduction, Mathematical model, Dynamic Programming, Numerical experiment, Conclusion and Future Works.

2. Ruang lingkup dan kedalaman pembahasan:

Ruang lingkup dan kedalaman pembahasan baik. Intrepretasi hasil kurang Nampak dalam pembahasan hasil.

Pembahasan mengenai mathematical model in the form of dynamic/multi-stage optimization. Termasuk Matematika Terapan yang sesuai dengan bidang keilmuan pengusul.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi :

Kecukupan dan kemutakhiran data/informasi dan metodologi baik. Terdapat 13 referensi Sebagian besar berupa jurnal (3 referensi kurang up to date). Metodologi pemecahan masalah cukup baik. Hasil yang didapat memuat substansi kebaharuan.

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4. Kelengkapan unsur dan kualitas terbitan:

Kelengkapan unsur dan kualitas terbitan cukup baik. Artikel diterbitakan dalam Journal of Physics: Conference Series Terindeks di Scopus: Scimagojr dan Scopus, SJR 0.201 (2017). Hasil Turnitin similarity index 10%. Beberapa editorial kurang dilakukan dengan cermat.

Semarang, April 2020 Reviewer 2

Prof. Dr. St. Budi Waluya, M.Si NIP. 196809071993031002

Unit kerja : Matematika FMIPA UNNES

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Document details

31 of 39

Dynamic optimization approach for integrated supplier selection and tracking control of single product inventory system with product discount

(Conference Paper) (Open Access)

, ,

Department of Mathematics, Diponegoro University, Jl. Prof. Soedarto, SH, Tembalang, Semarang, 50275, Indonesia

Abstract

In this paper, we propose a mathematical model in the form of dynamic/multi-stage optimization to solve an integrated supplier selection problem and tracking control problem of single product inventory system with product discount. The product discount will be stated as a piece-wise linear function. We use dynamic programming to solve this proposed optimization to determine the optimal supplier and the optimal product volume that will be purchased from the optimal supplier for each time period so that the inventory level tracks a reference trajectory given by decision maker with minimal total cost. We give a numerical experiment to evaluate the proposed model. From the result, the optimal supplier was determined for each time period and the inventory level follows the given reference well. © Published under licence by IOP Publishing Ltd.

SciVal Topic Prominence

Topic:

Prominence percentile: 85.301

Indexed keywords

Engineering controlled terms:

Inventory control Navigation Operations research

Engineering uncontrolled terms

Dynamic optimization Minimal total costs Numerical experiments Piece-wise linear functions Reference trajectories Supplier selection Tracking control problem Tracking controls

Engineering main heading:

Dynamic programming

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IOP Conference Series: Materials Science and Engineering Volume 166, Issue 1, 8 February 2017, Article number 012028

IORA International Conference on Operations Research 2016, in conjunction with the Inauguration of Indonesian Operations Research Association, IORA 2016; IPB International Convention CenterBotani Square Building Jl. PadjadjaranBogor; India; 27 August 2016 through ; Code 127232

Sutrisno  Widowati  Heru Tjahjana, R. 

 View references (13)



Inventory control | Inventory | Optimal policies

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ISSN: 17578981

Source Type: Conference Proceeding Original language: English

DOI: 10.1088/1757-899X/166/1/012028 Document Type: Conference Paper

Volume Editors: Bakhtiar T.,Wihartiko F.D.,Sukono

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Cited by 3 documents

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(2019) Proceedings of the 2018 International Conference on Robotics, Biomimetics, and Intelligent Computational Systems, Robionetics 2018

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(2018) Automation in Construction

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(2018) Scientiﬁc Review Engineering and Environmental Sciences

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Single Product Inventory Control Considering Unknown Demand Using Linear Quadratic Gaussian Sutrisno Widowati Heru Tjahjana, R.

Decision model for planning material supply channels in construction

Jaśkowski, P. Sobotka, A.

Czarnigowska, A.

Decision model supporting selection of material supply chains for construction projects | Model decyzyjny wyboru łańcuchów zaopatrzenia przedsięwzięcia w wyroby budowlane

Czarnigowska, A. Jaśkowski, P.

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Scopus coverage years: from 2009 to Present ISSN: 1757-8981 E-ISSN: 1757-899X

Subject area: Engineering: General Engineering Materials Science: General Materials Science

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COMMITTEE

IORA International Conference on Operations Research 2016

Conference Chair: Prof. Soewarto Hardhienata (Universitas Pakuan) Program Co-chairs: Dr. Sukono (UniversitaS Padjadjaran)

Dr. Toni Bakhtiar (Bogor Agricultural University) Advisory Committee:

Prof. Irwin Yousept (Universität Duisburg-Essen, Germany) Prof. Chung-Piaw Teo (National University Singapore, Singapore) Mr. Mohamad Risdaya Fadil (Aeroelasticity Specialist, Madrid, Spain) Prof. Ilias Mamat (Quest International University Perak, Malaysia) Prof. Abdul Talib bin Bon (Universiti Tun Hussein Onn, Malaysia) Prof. Ismail bin Mohd. (Univeristi Malaysia Perlis, Malaysia) Prof. Mustafa Mamat (Universiti Sultan Zainal Abidin, Malaysia) Dr. Admi Syarif (Lampung University)

Dr. Amril Aman (Bogor Agricultural University) Dr. Bibin Rubini (Universitas Pakuan)

Prof. Asep Kuswandi Supriatna (Universitas Padjadjaran) Prof. Edy Soewono (Institute of Technology Bandung) Prof. Hadi Sutanto (Atma Jaya Catholic University) Prof. Herman Mawengkang (North Sumatra University) Dr. Sri Harijati (Indonesia Open University)

Prof. Sudradjat Supian (Universitas Padjadjaran) Prof. Widodo (Gadjah Mada University)

Prof. Bermawi P. Iskandar (Institute of Technology Bandung) Prof. Abdul Hakim Halim (Coordinator of Kopertis IV) Prof. Djati Kerami (University of Indonesia)

Prof. Ronny Kastaman (Universitas Padjadjaran)

Scientific Committee:

Subchan (Kalimantan Institute of Technology) Diah Chaerani (Universitas Padjadjaran)

Ratih Dyah Kusumawati (University of Indonesia) Bib Paruhum Silalahi (Bogor Agricultural University) Sri Setyaningsih (Universitas Pakuan)

Prihastuti Harsani (Universitas Pakuan)

Rieske Hadianti (Institute of Technology Bandung)

1

IORA IOP Publishing IOP Conf. Series: Materials Science and Engineering 166(2017) 011003 doi:10.1088/1757-899X/166/1/011003

International Conference on Recent Trends in Physics 2016 (ICRTP2016) IOP Publishing Journal of Physics: Conference Series 755 (2016) 011001 doi:10.1088/1742-6596/755/1/011001

Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Published under licence by IOP Publishing Ltd

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Isdaryanto Iskandar (Atma Jaya Catholic University) Pramono Sidi (Indonesia Open University)

External Affairs and Publication Committee:

Defi Ekajaya Yuda (UprightDecision)

Sitta Alief Farihati (Indonesia Open University) Rojali (BINUS University)

Finance Committee:

Arie Qurania (Universitas Pakuan) Eman Lesmana (Universitas Padjadjaran) Farida Hanum (Bogor Agricultural University)

Event Management Committee:

Eneng Tita Tosida (Universitas Pakuan) Fajar Delli Wihartiko (Universitas Pakuan) Iyan Mulyana (Universitas Pakuan)

Hagni Wijayanti (Universitas Pakuan)

Agung Prajuhana Putra (Universitas Pakuan) Lita Karlitasari (Universitas Pakuan)

Mufarrih Ridhwan (Bandung Islamic University) Prapto Tri Supriyo (Bogor Agricultural University)

2

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4/17/2020 IOP Conference Series: Materials Science and Engineering, Volume 166, 2017 - IOPscience

https://iopscience.iop.org/issue/1757-899X/166/1 1/7

NOTICE: Ensuring subscriber access to content on IOPscience throughout the coronavirus outbreak - see our remote access guidelines.

Abstract. Healthcare industry becomes an important field for human beings nowadays as it concerns about one’s health. With that, forecasting demand for health services is an important step in managerial decision making for all healthcare organizations. Hence, a case study was conducted in University Health Centre to collect historical demand data of Panadol 650mg for 68 months from January 2009 until August 2014. The aim of the research is to optimize the overall inventory demand through forecasting techniques. Quantitative forecasting or time series forecasting model was used in the case study to forecast future data as a function of past data. Furthermore, the data pattern needs to be identified first before applying the forecasting techniques. Trend is the data pattern and then ten forecasting techniques are applied using Risk Simulator Software. Lastly, the best forecasting techniques will be find out with the least forecasting error. Among the ten forecasting techniques include single moving average, single exponential smoothing, double moving average, double exponential smoothing, regression , Holt-Winter’s additive, Seasonal additive, Holt-Winter’s multiplicative, seasonal multiplicative and Autoregressive Integrated Moving Average (ARIMA). According to the forecasting accuracy measurement, the best forecasting technique is regression analysis.

1. Introduction

Many companies do not know their demands and have to rely on demand forecasts to make decisions in production planning, sourcing and inventory management both in long and short term (Kerkkanen, 2010). According to Bon and Chong (2009), there are many factors affecting the frequent change of inventory’s demand and those factors are trend, seasonality, and economic factors.Many organizations that utilized inventory optimization reduced inventory levels by up to 25 per cent in one year and enjoyed a discounted cash flow above 50 per cent in less than two years( Study of IDC Manufacturing Insight,2010). In fact, inventory optimization can better address demand volatility and supply variability and thus reducing the risk of both under stocks and overstocks for the organizations to optimize their inventory through demand forecasting.

Healthcare in Malaysia is mainly under the jurisdiction of the Ministry of Health Malaysia. Currently, the nation practices a dual healthcare system and has good access to a blend of government and private healthcare services through a network of hospitals and clinics.In this research, a case study of University Health Centre in University Tun Hussein Onn Malaysia (UTHM) will be conducted. Health services UTHM started back in May 2002, when the Student Health Centre was a part of The Students Affair Office. The University Health Centre provides outpatient services as well as services to emergency cases during office hours.

1

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Assessment of IT solutions used in the Hungarian income tax microsimulation system

I. Molnar

¹

and S. Hardhienata

²

1Retired Faculty, 4990 Sentinel Dr., Bethesda, MD, USA.

2Department of Computer Science and Doctoral Program of Pakuan University, INDONESIA.

E-mails: [email protected], [email protected]

Abstract. This paper focuses on the use of information technology (IT) in diverse microsimulation studies and presents state-of-the-art solutions in the traditional application field of personal income tax simulation. The aim of the paper is to promote solutions, which can improve the efficiency and quality of microsimulation model implementation, assess their applicability and help to shift attention from microsimulation model implementation and data analysis towards experiment design and model use. First, the authors shortly discuss the relevant characteristics of the microsimulation application field and the managerial decision-making problem. After examination of the salient problems, advanced IT solutions, such as meta-database and service-oriented architecture are presented. The authors show how selected technologies can be applied to support both data- and behavior-driven and even agent-based personal income tax microsimulation model development. Finally, examples are presented and references made to the Hungarian Income Tax Simulator (HITS) models and their results. The paper concludes with a summary of the IT assessment and application-related author remarks dedicated to an Indonesian Income Tax Microsimulation Model.

1. Introduction

Microsimulation is a method that is able to handle the high complexity of the socioeconomic problems by creating and studying a model that makes intensive use of the statistical data of the observed objects, also called micro-units of the socioeconomic system, e.g., person, family or household. The microsimulation models use simulation techniques in order to study the behavior of micro level units. To receive the best possible set of performance indicators of the socioeconomic system, the microsimulation model can be optimized using multi-objective nonlinear optimization algorithms. Microsimulation models can be integrated in e-government environments and provide support for decision making for government administrators.

Microsimulation models have the following main elements: simulation data, simulation model, simulation parameters and simulation results. The initial model data, intermediate and/or final simulation result data, are stored for further analysis. The simulation model consists of algorithms, which describe the behavior of micro-units and represent their environment. Simulating the micro- units’ state and behavior (the changes of state over time) and the change of micro-units as a result of policy changes is often called “aging the data”. Static aging refers to the adjustment by re- weighting the used sample based on some aggregate control variable (e.g., the composition of the sample by gender), while dynamic aging refers to adjusting each micro-unit attribute (e.g., income)

1

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Integrating data mining technique and AHP in market analysis to propose new product development in real estate

Yunita¹, M. Galinium¹, Lukas²

1Faculty of Engineering and IT Swiss German University, EduTown BSD City, Tangerang, INDONESIA

2Faculty of Engineering, Universitas Katolik Indonesia Atma Jaya, Jakarta, INDONESIA

E-mails: [email protected], [email protected], [email protected]

Abstract. New product development in real estate industry is a challenging process since it is related to long term concept and high cost. A newly proposed product development should meet customer need and their preferences which appropriate with customer buying power and company value. This research use data mining for profiling customer transaction and Analytic Hierarchy Process (AHP) method for product selection in new product development. This research utilizes Weka as data mining open source software to profiling data customers. The analysis correlated product preferences and profiling demography such as city, age, gender and occupation. Demography profiles gives description buying power and product preferences. The products proposed are based on customer profiles and rank of the product by AHP method. The product with the highest score will be proposed as new product development. Case studies of this research are real estate projects in Serang, Makassar, and Balikpapan. Makassar and Balikpapan are the project that already gained success and Serang is new project which new products development will be proposed to launch. Based on profiling and product preference of customer in Balikpapan, Makassar, and prospectus of Serang markets, new products development that will be proposed are house type of 120/200 m² with price around Rp1.300.000.000 and house type of 71/120 m² with price around Rp800.000.000. The markets of Serang and Balikpapan have similarities in profiles as urban city so the new products development will adopt the succeed story of Balikpapan project.

1. Introduction

Nowadays, almost all company operations using information technology to manage all transaction data. Currently information technologies not only as a business support in business operation but also become one of strategic planning to gain business success. Data records which become huge should give added value in management decision in making knowledge-driven decisions to improve current business or develop new business. To capture the market in new business development the company must know what they know in this digital era.

A long with database development, a treasure is found in data tomb. Data become precious when knowledge is found. The process called Knowledge Data Discovery; it is a nontrivial process of identifying valid, novel, potentially useful and ultimately understandable pattern in data [1].

1

IOP Conference Series: Materials Science and Engineering

Document details

Dynamic optimization approach for integrated supplier selection and tracking control of single product inventory system with product discount

Source details

IOP Conference Series: Materials Science and Engineering

0.53

0.192

0.531

CiteScore

0.53

CiteScoreTracker 2019

0.56

CiteScore rank

COMMITTEE

IORA International Conference on Operations Research 2016

Conference Chair: Prof. Soewarto Hardhienata (Universitas Pakuan) Program Co-chairs: Dr. Sukono (UniversitaS Padjadjaran)

Dr. Toni Bakhtiar (Bogor Agricultural University) Advisory Committee:

Dr. Amril Aman (Bogor Agricultural University) Dr. Bibin Rubini (Universitas Pakuan)

Prof. Asep Kuswandi Supriatna (Universitas Padjadjaran) Prof. Edy Soewono (Institute of Technology Bandung) Prof. Hadi Sutanto (Atma Jaya Catholic University) Prof. Herman Mawengkang (North Sumatra University) Dr. Sri Harijati (Indonesia Open University)

Prof. Sudradjat Supian (Universitas Padjadjaran) Prof. Widodo (Gadjah Mada University)

Prof. Bermawi P. Iskandar (Institute of Technology Bandung) Prof. Abdul Hakim Halim (Coordinator of Kopertis IV) Prof. Djati Kerami (University of Indonesia)

Prof. Ronny Kastaman (Universitas Padjadjaran)

Scientific Committee:

Subchan (Kalimantan Institute of Technology) Diah Chaerani (Universitas Padjadjaran)

Ratih Dyah Kusumawati (University of Indonesia) Bib Paruhum Silalahi (Bogor Agricultural University) Sri Setyaningsih (Universitas Pakuan)

Prihastuti Harsani (Universitas Pakuan)

Rieske Hadianti (Institute of Technology Bandung)

Isdaryanto Iskandar (Atma Jaya Catholic University) Pramono Sidi (Indonesia Open University)

External Affairs and Publication Committee:

Defi Ekajaya Yuda (UprightDecision)

Sitta Alief Farihati (Indonesia Open University) Rojali (BINUS University)

Finance Committee:

Arie Qurania (Universitas Pakuan) Eman Lesmana (Universitas Padjadjaran) Farida Hanum (Bogor Agricultural University)

Event Management Committee:

Eneng Tita Tosida (Universitas Pakuan) Fajar Delli Wihartiko (Universitas Pakuan) Iyan Mulyana (Universitas Pakuan)

Hagni Wijayanti (Universitas Pakuan)

Agung Prajuhana Putra (Universitas Pakuan) Lita Karlitasari (Universitas Pakuan)

Mufarrih Ridhwan (Bandung Islamic University) Prapto Tri Supriyo (Bogor Agricultural University)

Table of contents

Preface

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see our Privacy and Cookies policy. 

Volume 166 2017

Previous issue Next issue

Accepted papers received: 16 January 2017 Published online: 08 February 2017

FOREWORD: IORA International Conference on Operations Research 2016

WELCOME REMARKS: IORA International Conference on Operations Research 2016

COMMITTEE: IORA International Conference on Operations Research 2016

Peer review statement

Estimation model of life insurance claims risk for cancer patients by using Bayesian method

Countries population determination to test rice crisis indicator at national level using k- means cluster analysis

The nurse scheduling problem: a goal programming and nonlinear optimization approaches

Courses timetabling problem by minimizing the number of less preferable time slots

Green supply chain management strategy selection using analytic network process: case study at PT XYZ

A DRM for steady water absorption from different types of periodic channels

Dynamic optimization approach for integrated supplier selection and tracking control of single product inventory system with product discount

Combination of nearest neighbor and heuristics algorithms for sequential two dimensional loading capacitated vehicle routing problem

Integrating data mining technique and AHP in market analysis to propose new product development in real estate

Analysis of data mining classification by comparison of C4.5 and ID algorithms

Adaptive spline autoregression threshold method in forecasting Mitsubishi car sales volume at PT Srikandi Diamond Motors

Model for determining logistic distribution center: case study of Mount Merapi eruption disaster

Application of Holt exponential smoothing and ARIMA method for data population in West Java

An Optimization of Inventory Demand Forecasting in University Healthcare Centre

An Optimization of Inventory Demand Forecasting in University Healthcare Centre

Assessment of IT solutions used in the Hungarian income tax microsimulation system

I. Molnar

and S. Hardhienata

Integrating data mining technique and AHP in market analysis to propose new product development in real estate