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PENGAMBILAN KEPUTUSAN HUTANG PADA USAHA KECIL DAN MENENGAH (UKM) DI PULAU LOMBOK: SUATU PERSPEKTIF BEHAVIORAL FINANCE Hidayati, Siti Aisyah; Suryani, Embun; Muhdin, M
JMM UNRAM - MASTER OF MANAGEMENT JOURNAL Vol 8, No 1 (2019): JMM Maret 2019
Publisher : Master of Management, Mataram University

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Abstract

The purpose of this study is to find out what factors determine decision making of debt and what are the most dominant factors in  decision making of debt for SMEs on the island of Lombok.  This research is an explanatory research with quantitative approach. The population is all SMEs located in Lombok island. The sample is selected by Non probability sampling technique with a judgment sampling method where the SMEs that selected as samples are SMEs in handicraft industry of pottery and already exporting the products. Of the existing population, there are 25 (twenty five) SMEs that can be sampled. Respondents in this study are managers who also the owner of the SMEs. Data was collected using questionnaire. To achieve the research objectives, the data obtained will be processed according to needs using Factor Analysis.The results of this study indicate there are three groups of factors that determine  decision making of debt, namely the First Factor Group consists of: Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss. This factor is named Factor Overconfidence. The Second Factor Group consisted of Representativeness Variables, Avaibility Variables and Anchoring and Adjustment Variables. This factor is named the Avaibility Factor. The third factor group consists of Affect Variables and Aversion Loss Variables. This factor is named the Factor of Loss Aversion. The most dominant factor in determining debt decision making for SMEs in Lombok Island is the Overconfidence factor group consisting of Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss .Keyword:Behavioral finance, decision making of debt, SMEs
Penggunaan Analisis Regresi Terboboti dalam Penyusunan Model Pertumbuhan Peninggi Acacia mangium Willd. Muhdin, M; Suhendang, Endang
Jurnal Manajemen Hutan Tropika Vol 15, No 1 (2009)
Publisher : Bogor Agricultural University

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Abstract

The compilation of growth stand model usually uses the regression analysis. Homoscedasticity or residual kind homogeneity is one assumption which underlying the use of this regression analysis.  Breaking this assumption causes the low of model accuracy which is shown by the low of determination coefficient and the height of error standard. The problem of heteroscedasticity can be solved by using weighted regression analysis.The Selected Raiser Growth Model equation in this research was transformed into a model equation: ln P = a + b/A, where there was a significant correlation between the growth and the age (R2  = 55.04%, sb0 = 0.041, and sb1 = 0.171).  From the use of weighted regression analysis with weightier wi = 1/”Xi, it can be concluded that there was no real correlation between the growth and the age (R2 = 0.55%, sb0 = 0.572, and sb1 = 2.560).  The use of weightier shows much lower accuracy than without weightier.  However, from the use of weighted regression analysis with weightier: wi = 1/si2, where si2 = residual kinds at free variable group to I (X1) shows that there was significant correlation between the growth and the age (R2 = 45.46%; sb0 = 0.084, and sb1 = 0.205).  There fore it can be said that the accuracy was much better than regression without weightier.  Furthermore,  the use of weighted regression analysis with weightier wi = 1/si2, where  si2 is residual kind at free variable to i (X) which is estimated through second orde polynomial regression model shows a very significant correlation between the growth and the age (where R2 = 87.22%, sb0 = 0.029, and sb1 = 0.072). The last result shows a better accuracy than the preceding treatments.  From this research, it can be concluded that by using a suitable weightier, the use of weighted regression analysis in compiling raiser growth model can improve the model accuracy.
Analisis Beberapa Rumus Penduga Volume Log: Studi Kasus pada Jenis Meranti (Shorea spp.) di Areal HPH PT Siak Raya Timber, Propinsi Riau Muhdin, M
Jurnal Manajemen Hutan Tropika Vol 5, No 2 (1999)
Publisher : Bogor Agricultural University

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Abstract

Determining the stem volume of a tree, both a standing or felled tree, has long been a chronic problem for foresters, whereas, the need for an accurate estimate of wood volume is becoming more important. The use of Brereton’s formula in Indonesia, nowadays, was based solely on practical consideration in obtaining the data which comprise diameter of the large and small ends of logs; and logs length. However, the relative accuracy of this formula in comparison with other formulae still needs to be tested.  The result of this study by using 499 logs in PT Siak Raya Timber (Riau Province) showed that Centroid and Newton’s formulae have the best performance (seen from bias, accuracy and precision) for estimating the log volume of meranti in Sumatera. Bias of both formulae is around zero and very small, therefore it could be neglected. Huber’s formula tends to underestimate the volume, but it has still better performance than Brereton’s, Smalian’s and Bruce’s formulae. Brereton’s and Smalian’s formulae tend to overestimate the volume, whereas Bruce’s formula tends to underestimate. Deviation of errors for Brereton’s is consistently smaller than Smalian’s, and for Bruce’s is the largest one. But, precision for Brereton’s, Smalian’s and Bruce’s formulae are nearly the same.
Penentuan Jumlah Pohon Contoh Minimal untuk Penyusunan Persamaan Volume Melalui Fungsi Taper: Studi Kasus pada Jenis Pinus Merkusii Jungh Et De Vriese di Hutan Pendidikan Gunung Walat, Sukabumi, Jawa Barat Muhdin, M; Hakim, Arif Rakhman
Jurnal Manajemen Hutan Tropika Vol 10, No 2 (2004)
Publisher : Bogor Agricultural University

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Abstract

The study departs from the fact that the most difficult activity in constructing tree volume table is measurement of diameter and length of section of standing sample trees. Besides, the number of sample trees to represent the population is also another problem. This study examines the construction of the volume equation through taper function by reducing the quantity of sample trees. Validation was also conducted for testing the accuracy of such volume equation. The study found that the best taper function was the third order polynomial model i.e., d/D=f{(h/H),(h/H)2,(h/H)3. The volume equation, constructed using only three sample trees by such taper function (V=0.3573337D2H), has almost the same good performance to equivalent the best model (V=6.14 10-5D1.8249H1.0342), that was constructed using 30 sample tree.Key words: taper function, tree volume equation, validation, accuracy, precision
Pendugaan Dinamika Struktur Tegakan Hutan Alam Bekas Tebangan Muhdin, M; Suhendang, Endang; Wahjono, Djoko; Purnomo, Herry; Istomo, I; Simangunsong, Bintang Charles H
Jurnal Manajemen Hutan Tropika Vol 17, No 1 (2011)
Publisher : Bogor Agricultural University

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Abstract

Dynamics of stand structure (DST), which could indicate the growth performance of logged-over forests, may vary depending on various factors, e.g. stand density, initial stand structure, species composition, time after logging, and environmental factors (rainfall, elevation, etc.).  The variations of such factors could result in the variations of DST’s components (e.g. proportion of trees upgrowth and staying). However, this study, which used 75 permanent sample plots data of lowland and dryland natural forests in Kalimantan, showed that the proportion of trees upgrowth and staying could not be predicted satisfactorily using the number of trees, stand basal area, time after logging, and elevation as independent variables in multiple linear regression models. The regression models produced unrealistic projections of stand structures.  In contrast, the projection of stand structures using the DST’s components that were calculated using arithmetic mean was better than that of the regression models.
Determining the stem volume of a tree Muhdin, M
Jurnal Manajemen Hutan Tropika Vol 9, No 1 (2003)
Publisher : Bogor Agricultural University

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Abstract

Determining the stem volume of a tree has long been a problem for foresters, whereas, the need for an accurate estimate of wood volume is becoming more important. six volume equations were used and compared, for both constructing and validating models using data collected from Gmelina arborea Roxb. in the area P.T. Wanaksita Nusantara, Province of Jambi, Indonesia. The best equation obtained from model construction (fitting) step for a data may not necessarily be the best performance (shown from bias, precision and accuracy) for another data set though collected from the same population. For testing the occuracy of model, model validation is an important step in model construction process in order to get the best tree volume equation.