Green Business as a Moderating Variable for Financial Ratios and Firm Value

According to the Environmental Performance Index (EPI), Indonesia is listed at 133, from 180 countries in the world. The Ministry of Environment and Forestry of the Republic Indonesia has established a company performance rating, namely, PROPER, whose assessment aspect is almost equal to EPI such as environmental permits, water and air pollution, and waste management. The purpose of this research is to see the effect of profitability, solvency, and liquidity toward firm value with PROPER rating as a moderation variable. Research was conducted over 45 companies in Indonesia from 2015-2019 using multiple regression analysis. The results showed profitability and solvency had positive significant effect on the firm value. Meanwhile, liquidity had negative significant effect towards firm value. PROPER rating positively moderates the effect of profitability and solvency on firm performance. However, it negatively moderates the effect of liquidity towards firm value.

Hybrid Neural – Based Model for Predicting the Construction Project Performance of High – Rise Building Projects in Metro Manila, Philippines

Assessing construction project performance through adapting an innovative approach can multiply the production of high-quality project outputs which is a catalyst to the socio-economic progress of a country. Preliminary data collection was employed through a meta-cognitive analysis of reviewing related literature which directs to the backbone of qualitative information that is relevant to the periodically experienced construction performance-influencing factors and to develop an assessment questionnaire about the influencing factors affecting the project performance. The IBM SPSS program was used to verify the reliability and consistency of the fundamental statistics of the questionnaire responses of cost, time and quality performance ratings. A predictive mathematical model was developed for forecasting cost, time, and quality performance rating employing Levenberg-Marquardt training algorithm with Hyperbolic Tangent Sigmoid function. The prediction model result shows a highly satisfying performance on its variance from the substantive values and suggests a high correlation between these values. The relative importance of the factors affecting the cost, time, and quality performance rating was calculated via sensitivity analysis through connection weights using Garson’s Algorithm to view the order of influence of the parameters that have great significance to the success of a project.

Incorporating heterogeneity of travelers’ preferences into the overall hostel performance rating

Hostels have become a very popular form of accommodation and their varieties have grown steadily in recent years. To ensure the sustainability of this business model, it is necessary to understand the main drivers influencing travelers to choose a hostel accommodation. For this purpose, we conducted an online survey using convenience sampling and purposive sampling techniques. Respondents' preferences to six hostel attributes (cleanliness, location, staff, atmosphere, facilities, and cancellation policy) were determined using discrete choice analysis. Sample results showed that the most important attributes are cleanliness and location, while the atmosphere is the least important one. However, widespread heterogeneity in preferences was observed, and cluster analyzes identified three distinct groups of travelers: “cleanliness sticklers”, “location demanders” and “party seekers”. Facilities and atmosphere were found to be very important attributes for particular clusters. These findings can help design a marketing strategy for each of the identified segments to ensure sustainable business. Finally, we have proposed a new approach to calculating the hostel overall rating based on attribute importance, which shows much better discriminatory power compared to the traditional average-based approach.

PERFORMANCE OF CBMA FACULTY AS PERCEIVED BY SUPERVISORS, STUDENTS, AND SELF

This study investigates the performance of College of Business Management and Accountancy (CBMA) Faculty of Eastern Samar State University (ESSU). Specifically, this examines the performance of faculty in the area of instruction as perceived by the supervisors, faculty themselves, and some randomly selected students. Descriptive and comparative method were used to achieve the goal of this study. It was found out that that performance of the faculty is exceptional. However the respondents’ rating varies significantly thereby concluding that perception of raters is a factor. Grounded on the result that students rating and supervisors rating are lower than the faculty self-rating, it was recommended through the CBMA Dean to inform the faculty in any best means to exert more effort to eliminate the gap in their perceptions. KEYWORDS: faculty, performance, rating, students, supervisor

OPTIMALISASI BEBAN KERJA PADA INDUSTRI MAKANAN MENGGUNAKAN METODE WORKLOAD ANALYSIS (Studi Kasus pada UD. MR-Jember)

UD. MR adalah salah satu industri di Kabupaten Jember yang memproduksi makanan tradusional suwar-suwir. Saat ini, UD. MR sedang mengalami kekurangan pekerja akibat beberapa pekerja yang mengundurkan diri dari pekerjaan. Para pekerja tampak kelelahan dalam menyelesaikan pekerjaannya dikarenakan beban kerjanya yang semakin bertambah. Hal ini merupakan indikasi dari tingginya beban kerja yang diterima para pekerja. Proses produksi di UD. MR juga masih menggunakan alat-alat manual sehingga sangat membutuhkan tenaga manusia. Akibatnya, cukup banyak terdapat kesalahan yang dilakukan oleh para pekerja, seperti pencampuran rasa yang ditambahkan kurang merata, bentuk suwar-suwir yang tidak seragam dan kemasan yang kurang rapi. Tujuan penelitian yaitu mengukur beban kerja dari pekerja dan menentukan jumlah tenaga kerja optimal di UD. MR. Metode penelitian yaitu WLA (Workload Analysis). WLA adalah suatu metode untuk mengukur beban kerja yang diterima pekerja selama melakukan pekerjaannya. Metode WLA membutuhkan data hasil perhitungan persentase produktif, Performance Rating dan Allowance. Hasil penelitian menunjukkan berdasarkan Workload Analysis, beban kerja dari pekerja di bagian pemasakan, pencetakan, pemotongan, dan pengemasan 2 termasuk dalam beban kerja tinggi. Sedangkan pekerja di bagian pengemasan 1 termasuk dalam beban kerja normal. Jumlah pekerja yang optimal pada bagian pengemasan 1 sebanyak 10 orang, pengemasan 2 sebanyak 6 orang dengan tambahan insentif sebesar Rp 20.200 per orang per bulan, pemasakan sebanyak 2 dengan tambahan insentif sebesar Rp 477.490 per orang per bulan, pencetakan sebanyak 1 orang dengan tambahan insentif sebesar Rp 202.150 per orang per bulan dan pemotongan sebanyak 2 orang dengan tambahan insentif sebesar Rp 85.150 per orang per bulan.

The Association Between Facial Width-to-Height Ratio (fWHR) and Sporting Performances: Evidence From Professional Basketball Players in Japan

Previous research in evolutionary psychology has highlighted the potential role of facial structures in explaining human behavior. The facial width-to-height ratio (fWHR) was found to be associated with testosterone-driven behavioral tendencies like achievement drive, aggression, and sporting success. The current study aimed to replicate such relationships using real-world data (i.e., professional basketball players; N = 482). Achievement drive, aggression, and sporting success were operationalized as field-goal attempts (FGA), the number of fouls committed (Foul), and player performance rating (EFF), respectively. The results indicated that fWHR was significantly associated with FGA and EFF, controlling for minutes of play and body-mass-index. The same results were obtained for separate analyses focusing on outsider players. However, analyses of inside players demonstrated that fWHR was associated only with EFF. The current research further provides empirical evidence supporting the effects of fWHR on achievement drive and sporting successes, although the effect sizes are notably small.

Analysis of English Performance Rating Based on Machine Learning and Optimized BP Network Technology

In order to improve the intelligent effect of English performance rating, this paper analyzes the English performance rating process and builds the corresponding algorithm model based on the wisdom of teaching ideas, and it combines BP spatial network technology with spatial sampling and spatial statistical algorithms to construct the system kernel algorithm. Moreover, this paper extracts students’ English answers through text recognition and compares them with the standard library. Among them, objective questions are mainly scored directly through standard answer comparison, and subjective questions compare student scores with standard answers. In addition, this paper uses a needs analysis to construct the framework of the entire English performance rating system and evaluates the practical effect of the system constructed in the paper through experimental research. According to statistical research data, the English performance rating system in this paper is known to have certain effects.

Linking teachers’ facial microexpressions with student-based evaluation of teaching effectiveness: A pilot study using FaceReader™

This study seeks to investigate the potential influence of facial microexpressions on student-based evaluations and to explore the future possibilities of using automated technologies in higher education. We applied a non-experimental correlational design to investigate if the number of videotaped university lecturers’ facial microexpressions recognized by FaceReader™ serves as a predictor for positive results on student evaluation of teaching effectiveness. Therefore, we analyzed five videotaped lectures with the automatic facial recognition software. Additionally, each video was rated by between 8 and 16 students, using a rating instrument based on the results of Murray´s (1983) factor analysis. The FaceReader™ software could detect more than 5.000 facial microexpressions. Although positive emotions bear positive influence on the “overall performance rating”, “emotions” is not predicting “overall performance rating”, b = .05, t(37) = .35, p > .05. The study demonstrates that student ratings are affected by more variables than just facial microexpressions. The study showed that sympathy as well as the estimated age of the lecturer predicted higher student ratings.