bluuebunny/crossref_metadata_2025_split huggingface dataset:
Innovation and Marketing Capabilities of Small and Medium-sized Enterprises (SMEs) in Thailand
Authors: Potjanajaruwit Pisit 
Published: October 2023

The primary objective of this study is to investigate the impact of innovation and marketing capabilities on the performance of Small and Medium-sized Enterprises (SMEs) in Thailand. The target population for this research comprises operators of SMEs within Thailand. a sample size of 130 participants was deemed suitable for this study. To address the research goals and derive meaningful insights, the researcher employed statistical methods, with a particular emphasis on Multiple Regression Analysis. The study's findings reveal that both innovation and marketing capabilities positively impact the performance of businesses. At a significance level of 0.05, delving into the various facets of innovation capability, it was observed that capabilities in process innovation and strategic innovation play a role in enhancing business performance. However, behavioral innovation capability does not significantly influence business outcomes. On the marketing front, capabilities in distribution channels, communication, and product development positively influence business performance. In contrast, pricing capability in marketing does not have a significant impact. SMEs in Thailand can leverage these insights for effective business management, ensuring sustained competitive advantage and optimal operational outcomes.
A New Perspective in the Evolution of Innovation Models Through Literature Review
Authors: Mauricio Bedoya-Villa, , César Zapata- Molina, , Steve Baeza-Abadie, , Elkin Pérez-Sánchez, , Blanca Hernández-Sanchéz, , Erika Jiménez-Correa, 
Published: October 2023

The new competitive scenarios in an economic environment characterized by globalization require constant adjustment of business strategies to generate new forms of managing organizational resources to promote innovation and the development of distinctive skills, and consequently achieve greater levels of competitive advantage and economic growth. This entails that companies must recognize the strategic value of innovation and incorporate innovation models into their management practices. This paper describes the last decade's evolution from a wide diversities of approaches regarding innovation models found in the review of the literature to determine how businesses may incorporate innovation models as a source of competitive advantage. A review of the literature was conducted by using the Scopus database to synthesize and analyze existing publications, particularly the conceptual frameworks in the innovation models proposed by researchers. The results obtained demonstrate the existence of key elements proposed for the development of innovative models, and the need to implement cyclical, ecological and dynamic innovation models to strengthen innovation management improving firms' adaptability in the technological environment. This paper his paper contributes to a growing body of literature and providing insight into how the joint of a new typology of innovation models creates a new perspective and provides an interesting and useful combination of conceptual frameworks for the development of innovation as a continuous process in management innovation models in organizations.
Efficient and sensitive quantification of polar tobacco volatile organic compounds by a micro thermal-assisted sampling device using reduced graphene oxide coupling with thermal desorption-gas chromatography/mass spectrometry
Authors: Lai Yanhua , Han Bing , Wu Jiahui , Weng Shouhui , Chen Senlin , Wang Junxia , Wang Yu , Pan Xiaowei , Lin Yun , Tao Hong , Zhang Zhuomin , Li Gongke 
Published: October 2023

AbstractIt still remains a great challenge to selectively enrich and sensitively quantify the trace volatile organic compounds (VOCs) in real samples with complex matrix. In this study, an integration method combining a selective enrichment medium of reduced graphene oxide (rGO) with a specially designed micro thermal-assisted purge-and-trap sampling device was developed for efficient enrichment and sensitive quantification of trace tobacco VOCs coupling with thermal desorption (TD)-gas chromatography/mass spectrometry (GC/MS). The prepared rGO has been proved to possess excellent enrichment selectivity and capacity for tobacco polar VOCs with the multi-layer structure, good thermal stability and large specific surface area. The specially designed sampling device was efficient and suitable for enriching and sampling trace polar tobacco VOCs coupling with rGO medium. Under the optimized sampling and analytical conditions, the established analytical method could be actually applied for quantification of typical tobacco polar VOCs with the good recoveries of 72.9–128% and the satisfied RSDs of 1.8–19.9% (n = 3). The results suggested that the developed method was selective, sensitive and reliable for enrichment and quantification of trace tobacco polar VOCs.
Numerical study of heat transfer in circular pipe filled with porous medium
Authors: Qader Firas F. , Mohamad Barhm , Hussein Adnan M. , Danook Suad H. 
Published: October 2023

AbstractForced convection heat transfer was studied in a horizontally heated circular pipe with constant heat flux. Porous medium was created using 1 and 3 mm stainless-steel balls (porosity: 0.3690 and 0.3912). Reynolds numbers ranged from 3,200 to 6,500 based on pipe diameter, with heat flux rates of 6,250 and 12,500 W m−2. ANSYS Fluent simulated a 51.4 mm diameter, 5 mm thick, 304 mm long stainless-steel pipe. Results showed increased turbulence and eddy formation. Analysis revealed higher convective heat transfer coefficient, pressure drop, and Nusselt number with increasing Reynolds number. Nusselt number also increased with 1–3 mm ball diameter. 6% porosity increase reduced pressure drop by 84.4%. Nusselt number rose by 46.7% (Reynolds 3,200–6,500) and 4.36% (heat flux 6,250–12,500 W m−2).
Aluminum and Carbon Fiber Reinforced Polymer Composite Material Comparative Strength Analysis of a Structural Part in F-16 Fighter Aircraft Landing Gear
Authors: KAYA İlteriş , ÇEVİK Mehmet 
Published: October 2023

In this study, the geometric structure, weight and boundary conditions of the aluminum alloy main landing gear FS 34.180 structural part currently used in F-16 fighter aircraft are determined. Finite element (FE) analysis is performed considering the forces that the existing part is exposed to in four different scenarios with Ansys Workbench software. Then, a FE model of the same part is created from carbon fiber reinforced polymer (CFRP) composite material. The loading conditions applied in the four scenario are also applied to the new CFRP composite material model. Equivalent stress, equivalent total strain, maximum shear stress and total deformation values in the models created with both materials are calculated.
The results obtained for both materials are compared. As a result of the comparison, it is observed that there is a decrease of approximately 0.8% in the equivalent stress, 12% in the equivalent total strain, 0.7% in the maximum shear stress and 11.8% in the total deformation values for the same loading and boundary conditions. In addition, the total mass of the part is reduced from 31.17 kg to 20.77 kg, which corresponds to a reduction of 33.37%.
This development is expected to reduce the weight of the aircraft as well as extend the fatigue life and maintenance period.
Penyelesaian Masalah Transportasi Menggunakan Metode Sumathi-Sathiya dan Metode Pendekatan Karagul-Sahin (KSAM)
Authors: Muhtarulloh Fahrudin , Meirista Meirista , Cahyandari Rini 
Published: October 2023

This study discusses solving transportation problems by comparing two different methods for the minimization case, namely the Sumathi-Sathiya method and the Karagul-Sahin Approximation Method (KSAM). The first step is to determine whether the data is balanced or unbalanced. For unbalanced data, dummy rows or columns were added to make the data balanced. The Sumathi-Sathiya method startsby selecting the smallest total of the row and column then allocated the demand according to the available supply. As for KSAM, it starts with the smallest cost of scope of the ratio of demand, supply, as well as shipping costs , then selected matrix that has the smallest transportation cost result. Based on simulation of 100 data, the result shows that for 52 data, KSAM is more optimal than the Sumathi-Sathiya Method. As for the other 48 data, the Sumathi-Sathiya Method is more optimal than KSAM, with a number of diverse iterations.Keywords: Karagul Sahin Approximation Method, Sumathi-Sathiya Method, Transportation Problems. AbstrakPenelitian ini membahas tentang penyelesaian masalah transportasi dengan membanding dua metode yang berbeda untuk kasus minimasi yaitu metode Sumathi-Sathiya dan Karagul-Sahin Approximation Method (KSAM) yang bertujuan untuk mengetahui metode mana yang mendapatkan biaya transportasi paling minimum. Langkah pertama yang dilakukan adalah menentukan data seimbang atau tidak seimbang. Untuk data tidak seimbang harus menambahkan baris atau kolom dummy sehingga data menjadi seimbang. Metode Sumathi-Sathiya dimulai dengan memilih total terkecil dari baris dan kolom, kemudian dialokasikan permintaan sesuai dengan persediaan yang tersedia. Sedangkan untuk KSAM, dimulai dengan cakupan rasio permintaan, persediaan, serta biaya pengiriman terkecil sampai mendapatkan solusi layak awal, kemudian dipilih matriks yang memiliki hasil biaya transportasi terkecil. Berdasarkan simulasi 100 data, diperoleh hasil bahwa untuk 52 data, KSAM lebih optimal dibandingkan Metode Sumathi-Sathiya. Sedangkan untuk 48 data lainnya, Metode Sumathi-Sathiya lebih optimal dibandingkan KSAM, dengan jumlah iterasi beragam.
Uji Optimalitas Menggunakan Metode Stepping Stone untuk Solusi Layak Awal dengan Metode Direct Sum dan New Heuristic Method
Authors: Zahro Aisyah , Wulan Elis Ratna , Awalluddin Asep Solih 
Published: October 2023

This research discusses solving the transportation problem of minimization cases using the Direct Sum Method and New Heuristic Method on balanced and unbalanced data to determine an initial feasible solution, which is then tested for its optimality using the Stepping Stone Method. The stages of the Direct Sum Method, then, the largest direct amount cost is selected. Next, the lowest cell and allocate the minimum demand or supply are selected, then the lowest cell is selected again until all demand and supply are met. While the New Heuristic Method stages followed by selecting the lowest cell, and the minimum demand or supply is allocated, then the lowest cell is re-selected until all demand and supply are met. Based on the analysis with the Stepping Stone Method, the Direct Sum Method has more optimal results and has a slight change in allocation compared to the New Heuristic Method.Keywords: Direct Sum Method, Linear Programming, New Heuristic Method, Operations Research, Stepping Stone Method, Transportation Problem. AbstrakPenelitian ini membahas tentang penyelesaian masalah transportasi kasus minimasi dengan metode Direct Sum dan New Heuristic Method pada data seimbang dan tidak seimbang untuk menentukan solusi layak awal, yang kemudian diuji optimalitasnya dengan metode Stepping Stone. Untuk tahapan penyelesaian menggunakan metode Direct Sum, kemudian dipilih biaya jumlah langsung terbesar. Selanjutnya, dipilih sel terendah dan dialokasikan permintaan atau persediaan seminimum mungkin, kemudian pilih kembali sel terendah sampai permintaan dan persediaan terpenuhi semua. Sedangkan tahapan penyelesaian menggunakan New Heuristic Method. Selanjutnya dipilih sel terendah dan dialokasikan permintaan atau persediaan seminimum mungkin, kemudian dipilih kembali sel terendah sampai permintaan dan persediaan terpenuhi semua. Berdasarkan analisis yang telah dilakukan pengujian optimalitas dengan metode Stepping Stone, metode Direct Sum memiliki hasil yang lebih optimal dan memiliki perubahan alokasi yang sedikit dibandingkan New Heuristic Method.
Analisis Harga Opsi Beli Tipe Eropa dengan Metode Antithetic Variate dari Monte Carlo
Authors: Kurniawati Nadia Putri , Yundari Yundari , Rizki Setyo Wira 
Published: October 2023

Stock options is one of the derivative products of stocks. The purpose of this study is to analyze the price of European type call options using the antithetic variate method from Monte Carlo. The data used is the daily closing price of Apple Inc shares for the period October 1, 2020 to September 30,2021. The steps taken are to determine the parameters used, calculate the stock return value, average, variance and volatility of stock returns, generally data that is normally distributed. Then simulate stock prices using the data that has been generated, calculates the payoff value, the price of the European type of call option and the standard error value. The result shows that for the Monte Carlo method, a call option price of $17,523 in the 50.000th simulation, while the antithetic variate method of Monte Carlo obtained a call option price of $17,387 in the 100th simulation. In other words, the standard error of the antithetic variate method from Monte Carlo is smaller than the Monte Carlo method with the assumption of a minimum standard error of 0,050.Keywords: Monte Carlo Simulation, Stock Option, Variance Reduction Technique. AbstrakOpsi saham merupakan produk derivatif dari saham sebagai salah satu alternatif investasi. Tujuan dari penelitian ini adalah menganalisis harga opsi beli tipe Eropa menggunakan antithetic variate dari Monte Carlo. Data yang digunakan yaitu harga penutupan saham harian Apple Inc periode 01 Oktober 2020 sampai dengan 30 September 2021. Langkah-langkah yang dilakukan adalah menentukan parameter yang digunakan, menghitung nilai return saham, rata-rata, variansi dan volatilitas dari return saham, membangkitkan data yang berdistribusi normal. Kemudian mensimulasikan harga saham menggunakan data yang telah dibangkitkan, menghitung nilai payoff, harga opsi beli tipe Eropa dan nilai standard error. Berdasarkan hasil perhitungan dengan metode Monte Carlo, diperoleh harga opsi beli sebesar $17,523 pada simulasi ke-50.000, sedangkan metode antithetic variate dari Monte Carlo diperoleh harga opsi beli sebesar $17,387 pada simulasi ke-100. Dengan kata lain, standard error metode antithetic variate dari Monte Carlo lebih kecil dibandingkan metode Monte Carlo dengan asumsi standard error minimumnya sebesar 0,050.
Pembangkitan Pohon Fraktal Bercabang Menggunakan Metode Iterated Function System
Authors: Wulandari Retno , Purnomo Kosala Dwidja , Kamsyakawuni Ahmad 
Published: October 2023

The Pythagorean tree is a flat fractal composed of squares. A Pythagorean tree with two branches developed into three components is called a fractal tree. In this article, the author generates a fractal tree that has been expanded to have n branches using the Iterated Function Systems (IFS) method. The fractal tree will be caused by the IFS method using affine transformations, namely dilation, translation, and rotation on a square as the initial geometric object. The generation of a fractal tree begins with determining the basic shape of the branching. The choice of the primary form of branching will affect the body and characteristics of the resulting fractal tree. There are two primary forms of branching to produce a fractal tree that has several variations in the selection of angles: the same angle, a different angle, and a random angle.Keywords: Affine Transformation, Fractal, Fractal Tree, Iterated Function System Method.AbstrakPohon Pythagoras adalah sebuah fraktal datar yang tersusun dari bujur sangkar. Pohon Pythagoras yang memiliki dua percabangan dikembangkan menjadi tiga percabangan disebut dengan istilah pohon fraktal. Pada artikel ini, penulis membangkitkan pohon fraktal yang dikembangkan jumlah cabangnya sampai sebanyak menggunakan metode Iterated Function Systems (IFS). Pohon fraktal dibangkitkan dengan metode IFS menggunakan transformasi affine yaitu dilatasi, translasi, dan rotasi pada persegi sebagai objek geometri awal. Pembangkitan pohon fraktal dimulai dengan menentukan bentuk dasar percabangan. Pemilihan bentuk dasar percabangan akan berpengaruh pada bentuk dan karakteristik dari pohon fraktal yang dihasilkan. Ada dua macam bentuk dasar percabangan sehingga dapat menghasilkan pohon fraktal yang memiliki beberapa variasi pemilihan sudut yakni sudut sama, sudut berbeda, dan sudut random.
Penerapan Model Tingkat Suku Bunga Cox Ingersoll Ross (CIR) dalam Menentukan Iuran Normal Pensiun
Authors: Limbong Martina Mery Yohanna , Rahmatin Dewi , Priatna Bambang Avip 
Published: October 2023

The progress or decline of a company is influenced by the productivity of the workers. The pension program is one of the programs that can guarantee the welfare of employees. This study aims to implement the Cox Ingersoll Ross (CIR) model in approximating interest rates and using them to determine normal pension contributions. In order to be able to describe the actual situation, namely the interest rate which is the basis for determining pension contributions is fluctuating, the CIR model was chosen. The method used in actuarial calculations in this study is the Projected Unit Credit method. Based on the calculations, the Mean Absolute Percentage Error (MAPE) value is 6.45%. This suggests that the pattern of forecasted interest rates and market rates move in much the same way. In addition, the results show that the calculation of normal contributions using the CIR model tends to be larger than using a constant interest rate. The forecast results can help reduce risks in the future.Keywords: Cox Ingersoll Ross (CIR), Normal Cost, Pension, Projected Unit Credit (PUC). AbstrakKemajuan atau kemunduran dari perusahaan dipengaruhi oleh produktivitas para pekerja. Program pensiun merupakan salah satu program yang dapat menjamin kesejahteraan pegawai. Penelitian ini bertujuan mengimplementasikan model Cox Ingersoll Ross (CIR) dalam mengaproksimasi tingkat suku bunga dan menggunakannya dalam menentukan iuran normal pensiun. Supaya dapat menggambarkan keadaan yang sebenarnya, yaitu tingkat suku bunga yang menjadi dasar penentuan iuran pensiun bersifat fluktuatif maka dipilih model CIR. Metode yang digunakan dalam perhitungan aktuaria adalah metode Projected Unit Credit (PUC). Berdasarkan hasil perhitungan, diperoleh nilai Mean Absolut Percentage Error (MAPE) 6,45%. Hal ini menunjukkan bahwa pola perkiraan suku bunga dan suku bunga pasar bergerak dengan cara yang hampir sama. Berdasarkan metode PUC, perhitungan iuran normal dengan model CIR cenderung lebih besar dibandingkan dengan menggunakan tingkat bunga konstan. Hasil perkiraan tersebut dapat membantu mengurangi risiko di masa yang akan datang.
Penerapan Model GBM untuk Prediksi Harga Saham dan Nilai Risiko Kerugian Menggunakan Program R
Authors: Agista Fira , Wijayanti Hagni , Faridhan Yasmin Erika 
Published: October 2023

In stock asset investment, the profit earned by an investor is measured by the return value, which is highly dependent on the stock price. In this study, stock price predictions were made using the Geometric Brownian Motion (GBM) model, and loss risk value was calculated using the Monte Carlo Simulation Value at Risk (VaR) method, so that investors can find out future stock prices and possible losses that may be obtained. The data used is the closing price of PT Telkom's shares for the period of 1 March to 12 October 2021. By using R, the results show that the prediction of PT Telkom's stock price for the period of 1 September to 12 October 2021 has a very good accuracy with a MAPE value of 2.1%. The risk value for the period of 6 October to 12 October 2021 with evaluation results through backtesting at violation probability levels of 1% and 5% produces a violation ratio of 0; this means that the Monte Carlo Simulation VaR method can be used at the level of the violation probability.Keywords: Geometric Brownian Motion, Return, Stock, Value at Risk. AbstrakPada investasi aset saham, keuntungan yang diperoleh seorang investor diukur melalui nilai return, yang sangat bergantung pada harga saham. Dalam penelitian ini dilakukan prediksi harga saham menggunakan model Geometric Brownian Motion (GBM) dan nilai risiko kerugian menggunakan metode Value at Risk (VaR) Simulasi Monte Carlo, sehingga investor dapat mengetahui harga saham pada masa yang akan datang dan kemungkinan kerugian yang akan terjadi. Data yang digunakan adalah harga penutupan saham PT Telkom pada periode waktu 1 Maret sampai dengan 12 Oktober 2021. Berbantuan program R, hasil penelitian menunjukkan bahwa prediksi harga saham PT Telkom periode 1 September sampai dengan 12 Oktober 2021 memiliki akurasi yang sangat baik dengan nilai MAPE sebesar 2,1%. Nilai risiko untuk periode 6 Oktober sampai 12 Oktober 2021 dengan hasil evaluasi melalui backtesting pada tingkat peluang pelanggaran 1% dan 5% menghasilkan rasio pelanggaran sebesar 0, yang berarti metode VaR Simulasi Monte Carlo dapat digunakan pada tingkat peluang pelanggaran tersebut.
Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kematian Ibu di Provinsi Maluku dengan Menggunakan Regresi Poisson
Authors: Aulele Salmon N. , Heumasse Astrid G. , Lesnussa Yopi Andry 
Published: October 2023

The statistical method used to model the relationship between the response variable (Y) and one or more independent variables (X) is regression analysis. Linear regression equations are used to analyze the response variables in the form of continuous random variables and follow a normal distribution, however, many response variables are found that are not normally distributed and are not linear in parameters becausethe mortality rate for mothers and babies always increases from year to year. The number of maternal deaths that occurred in Maluku province is an example of data count. Poisson regression is a nonlinear regression analysis of the Poisson distribution which is generally used in analyzing discrete (count) data. The purpose of this study was to determine the factors that significantly affect maternal mortality in Maluku Province using Poisson Regression, The results of this study indicate that the factors that significantly influence the number of maternal deaths in Maluku Province are the number of health centers and medical personnel in each regency / district. City (X1), the percentage of female population with education that has completed at least SD per Regency / City (X2), the frequency coverage of K4 services for pregnant women in each Regency / City (X3), and the percentage of immunization coverage for pregnant women in each Regency / City (X4).Keywords: Maternal Mortality, Poisson Regression, Regression Analysis. AbstrakMetode statistika yang digunakan untuk memodelkan hubungan antara variabel respons (Y) dengan satu atau lebih variabel bebas (X) adalah analisis regresi. Persamaan regresi linear digunakan untuk menganalisis variabel respons yang berupa peubah acak kontinu dan mengikuti distribusi normal, namun banyak ditemukan variabel respons yang tidak berdistribusi normal dan tidak linear dalam parameter. Jumlah kematian ibu yang terjadi di provinsi Maluku merupakan salah satu contoh data count. Regresi Poisson merupakan analisis regresi nonlinear dari distribusi Poisson yang umumnya digunakan dalam menganalisis data diskrit (count). Tujuan dari penilitian ini adalah untuk mengetahui faktor-faktor yang signifikan mempengaruhi jumlah kematian ibu di Provinsi Maluku dengan menggunakan Regresi Poisson. Hasil penelitian ini menunjukan bahwa Faktor-faktor yang signifikan mempengaruhi jumlah kematian ibu di Provinsi Maluku adalah jumlah puskesmas dan tenaga medis tiap Kabupaten/Kota (X1), persentase penduduk perempuan dengan pendidikan yang ditamatkan minimal SD tiap Kabupaten/Kota (X2), cakupan frekuensi pelayanan K4 bagi ibu hamil tiap Kabupaten/Kota (X3), dan persentase cakupan imunisasi bagi ibu hamil tiap Kabupaten/Kota (X4).