The development of green marketing has received the attention of various levels of business around the world. The promotion of green marketing is now shaping all business sectors' practices, including the property industry. Yogyakarta is one of the cities whose industry has been developing so fast. This study explored green purchase intention to succeed in green marketing promotion. It examined how the relationship between green purchase intention with the variables supporting it and measuring its value. This research was completed with two methods: identifying the relationship between the green purchase intention variables (endogenous) with variables and their indicators (exogenous) that affect the value of green purchase intention. The identification using structural equation modelling. While the measurement of green purchase intention values was carried out using a dynamic system simulation. The data was collected through the survey method on 400 sample sizes. The results obtained, a significant relationship between 4 exogenous variables and the endogenous variable and also obtained some prediction value per unit time.

Highly competitive and continuous business changes in telecommunication industry make organizational citizenship behavior (OCB) strategically important. This research aims to test the impact of transformational leadership of the direct supervisor on working motivation of the employees. Does supervisor's leadership capability impact on employees' work motivation more intrinsically or extrinsically? The study was conducted in an Indonesian telecommunication company which provides television cable and high-speed internet services for the high-rise building in Java and Sumatra. It involved 199 employees as the respondents. The collected data was analyzed with structural equation modelling approach. The statistical test has proved that transformational leadership has a positive impact on work motivation and organizational citizenship behavior. The motivation – both extrinsic motivation and intrinsic motivation, impacts on organizational citizenship behavior significantly. Although transformational does impact on organizational citizenship behavior both directly and indirectly, but the working motivation does not play a mediating role in the relationship between transformation leadership and organizational citizenship behavior.

The increasing level of the number of carbon dioxide will raise temperature on the earth and causes global climate changes. Paris agreement has responded global warming by doing mitigation, and Indonesian Government has ratified the suggestion. This research aims to determine the rice cultivation technology system which effectively could absorb the carbon dioxide into the form of biomass and C-organic in the earth. Applying the quasi-experiment by three types of technological systems – and it was conducted in farming area of Sukakarya District, Bekasi Regency, Indonesia – the research proved the T2 (IPAT-TS planting system) – in which it applies a minimum spacing of 30 cm × 30 cm and a maximum of 50 cm × 50 cm, in aerobic soil conditions – yields the highest number of biomass straw, C-Organic, and harvest dry grain and economically gives the highest profit margin. Therefore, the research recommends the adoption of T2 as mass common farming practice especially in entisolic soil types.

This study aims to investigate the effect of soft skills and ethics and value on the employers’ willingness to continue recruiting Universiti Malaysia Terengganu (UMT) graduates, together with the moderating effect of knowledge on the relationship between soft skills and the employers’ willingness to continue recruiting UMT graduates. The study’s respondents comprised of 208 employers in Malaysia who responded through an online survey using Google Forms. The survey data was then analyzed using the Partial Least Squares Structural Equation Modelling (PLS-SEM), indicating that soft skills positively affected the employers’ willingness to continue recruiting UMT graduates. Nevertheless, ethics and value were found to be insignificant factors on the employers’ willingness to continue recruiting UMT graduates. It was also revealed that knowledge had the moderating effect on the relationship between soft skills and the employers’ willingness to continue recruiting UMT graduates. Therefore, universities were recommended to invest in soft skills and knowledge education to ensure that graduates met the employers’ professional recruitment standards in areas of expertise.

The purpose of this paper is to analyze the effects of firm value on hedging for exchange rates, interest rates and commodity price risks using derivative instruments as well as examining different types of derivative instruments, including forward contract, future contract, option contract, and swap contract, used as hedging instruments to assess their various effects on firm value. The proxy used for the firm value variable is Tobin’s Q, and the ordinary least squares regression is employed for the research method. The study used 348 records from non-financial companies listed on the Indonesia Stock Exchange over the period 2015–2018. There are different results. First of all, the use of hedging for exchange rate risk with derivative instruments has a positive and significant effect on firm value. Secondly, the use of hedging for interest rate risk with derivative instruments has a negative but not significant effect on firm value. In addition, the use of hedging for commodity price risk with derivative instruments has a positive but not significant effect on firm value. Moreover, the effects from hedging using derivative contracts in general on firm value does not give results that are different from the use of hedging risk for exchange rates, interest rates and commodity prices with derivative instruments.

Flavanol compounds are chalcone derivatives, generally found in hydroxy substituted forms that can act as ligands. Hydroxy-substituted flavonols are found in many plants but in very small amounts. In order to enrich and expand the use of this compound as a ligand, the synthetic methods were carried out through structural variations, one of which was by substitution using chloride and then the compound (2-(4-chlorophenyl)-3-hydroxy-4H-chromene-4-one) was obtained. In this research, the study was conducted using the compound (2-(4-chlorophenyl)-3-hydroxy-4H-chromene-4-one) as a ligand for complex formation with copper (II). From the results of the study, the mole ratio of the ligand with copper (II) metal was 2:1, pH 7.01 with a complex stability time of 15-25 minutes. The complex formed is bright yellow in color and soluble in chloroform. From the characterization of the resulted complex, it was appeared that Cu-flavonol chloride with UV-Vis spectrophotometer showed maximum absorption at wavelengths 273 and 429 indicating the presence of benzoyl and cinnamoyl peaks, with FT-IR showing the wave number 1545cm-1 indicating the presence of Cu=O-Cu bonds and absorption at 682 cm-1 indicating the presence of Cu-O bonds.

A lack of natural aggregates in the future is unavoidable, which generates issues for building development. For many industries, natural resources constitute a significant source of revenue. As a result, light artificial aggregate is produced to anticipate the decreasing source of natural aggregate. Production of artificial geopolymer aggregates, fly ash from the burning of coal has been proposed. This paper investigates the optimal proportion of epoxy resin and coal fly ash-based synthetic aggregates. The artificial aggregates are produced following specific gravity and compressive strength standards that may be used as a component of lightweight structural concrete (LWC). The production polymer lightweight aggregate (PLA) comes from a combination of coal fly ash and epoxy resin. The results show that PLA 50:50 to PLA 74:26 can be used for 6 hours to make structural concrete with a strength of more than 17 MPa. PLA 80:20 could achieve compressive strength with the range of 7-17 MPa. PLA 84:16 achieves a compressive strength range of 0.35 to 7 MPa and is utilized as a non-structural element. However, the flexural strength values in concrete LWC 70:30 and LWC 80:20 are higher, at 46.1% and 7.63%, respectively.

The purpose of the study is to evaluate the efficiency of Islamic Rural Banks (BPRS) and analyze the factors that determine them using a two-stage approach to Data Envelopment Analysis (DEA). DEA in this study focuses on the production, intermediation, and inefficiency causes. This research was done on BPRS across Indonesia. The data were taken from a financial report for the 2013-2021 period. The source of the data was a publication from the Financial Services Authority of Indonesia. The data were analyzed using the non-parametric approach with a two-stage DEA method. The input variables were personnel costs, fixed assets, and third-party funds. The result shows that Revenue Sharing, ROA, and Growth have a significant positive effect on DEA. BOPO and inflation have a positive but insignificant effect on DEA. While NPF and FDR have negative but insignificant effects on DEA. Then CAR has a negative and not significant effect on DEA. It also shows that the variables of Revenue Sharing, NPF, ROA, CAR, FDR, BOPO growth, and inflation have a simultaneous effect on DEA.

A pine tree, namely Pinus merkusii is an indigenous species from Indonesia which grows extensively in the Island of Java, Sumatera, and Sulawesi. This plant produces both timber and non-timber forest products (TFP and NTFP). Resin or oleum pine resin, as the main NTFP of Pinus merkusii, becomes the raw material for the gum rosin and turpentine oil industry. Globally, Indonesia is ranked 3rd as a producer of pine products after China and Brazil, in which Perhutani as a State Owned Forestry Enterprise plays a major role in this industry. On average, Perhutani manufactures 65,000 tons of gum rosin and 14,000 turpentine oil per year. Entire volume of both pine products is produced by nine factories with various maximum capacities. Therefore, this research aims to measure efficiency and/or inefficiency score of each factory using data envelopment analysis (DEA) method, which is then complemented by a single bootstrap technique with 2.000 iterations to eliminate bias scores. Cost of raw material, labour, energy, and general affairs are employed as input variables, while the output variables are total revenue and production volume. As result, 27.3% inefficiency (efficiency score = 72.7%) is generally found in all Perhutani’s pine chemical factories. To resolve this inefficiency issue, analytical hierarchy process (AHP) pairwise comparison questionnaire is distributed to 13 expert respondents to determine prioritized operational capability to focus on in optimizing efficiency of production performance. Dimensions of Cost, Quality, Flexibility, Innovation, and Sustainability are selected to construct the AHP questionnaires.

Stock is one of the investment assets that has its charm for investors. It is very liquid and has a high rate of return, but it has a high risk. The strategy commonly used to minimize investment risk is to diversify through portfolio formation. A good allocation of funds must be determined in forming an optimal portfolio. In addition, the method of stock selection needs to be considered so the stocks are well diversified and the portfolio developed has good performance. This study aims to compare stock selection between K-Means and Average Linkage clustering approaches in forming an investment portfolio. Clustering analysis is used to group IDX80 stocks based on their attributes. In forming a portfolio with the Mean-VaR model, the stock selection decision criteria used are by selecting stocks with the highest positive returns from each cluster. As a result, the two clustering techniques show the superiority of the Silhouette score for a certain number of clusters, but there are still more advantages in Average Linkage. The portfolio approached by Average Linkage resulted in a better performance than the portfolio approached by K-Means. Therefore, Average Linkage clustering can be used as a better recommendation in decision-making to select stocks so as to produce optimal portfolio performance.