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Factors Influencing Whistleblowing Intention among Accounting Students in Indonesia
Get PDFThe study aimed to determine the effect organizational commitment, subjective norms and group cohesion to whistleblowing intention of accounting students in Indonesia. Data was collected using a questionnaire administered using Google Form. The study�s sample was 218 accounting students from various universities in Surabaya, Indonesia. This study results show that high organizational commitment, subjective norms, and group cohesion increase whistleblowing intention among participants studied. Limitations include the limited number of universities surveyed for respondent recruitment, suggesting the need for additional data collection methods. This study is original in its investigation of the relationships between organizational commitment, subjective norms, group cohesion, and whistleblowing intention among accounting students in Surabaya
The role of internal audit of integrated system ISO 9001:2015 and ISO 14001:2015 in improving employee performance.
Get PDFInternal audit is an important function in the organization that implement the integrated system of ISO 9001:2015 and ISO 14001:2015 with findings and suggestions or recommendations to management and all employees. Internal audit is one of the mandatory requirements for implementing the ISO 9001 and ISO 14001 which is integrated into the IMS. This study involved 48 employees at Company �X to prove that the role of internal audit in IMS can improve employee performance. The result of SEM-PLS for the internal audit model as a mediating variable affect employee performance preceded by planning variables, management commitment and IMS implementatio
Continuous-dynamic modeling of LPG circulation: A preliminary study in a simple system of one filling station-one agent-one store
Get PDFCertain important commodities circulate in the community in certain packaging containers where the empty containers must be returned to the upstream. The existence of these containers is actually beneficial in evaluating the adequacy of the availability of these commodities in the community. The analysis generally uses mathematical methods or discrete simulations. In this paper, continuous modeling is used to study the cyclical movement of LPG tanks from the filling station, to the agent, to the store, to the consumer, back to the store, back to the agent, and back to the filling station. The modeling uses a system dynamics language which even though it assumes the entity is a fluid (continuous material) can be used for the discussion of discrete systems. In fact, the modeling turns out to be simpler to do and has the potential to be extended to more complex systems
Particle Swarm Optimization Algorithm for Vehicle Routing Optimization
Get PDFTechnology has been one of the critical factors behind the industrial revolution. Companies must now
use technological assistance and data processing to produce faster and more efficient business processes. Our case
study is using HDPE Plastic Company, which is in Surabaya, is trying to handle the increasing frequency of shipments.
Due to the rising frequency of shipments, the company is often overwhelmed in handling its loads because no system
can quickly determine the shipping route.
Moreover, other route-determining factors, such as shipment weight, truck capacity, and unique delivery hour requests,
manually add to the routes complexity. The system will run the K-Means cluster function from the database to cluster
all customers in the company. This cluster is one of the factors determining the fitness value in the Particle Swarm
Optimization (PSO) algorithm. After the order data is obtained, the system will use the PSO algorithm to determine the
delivery agenda for each truck. The determining factors of PSO include customer location, priority hours of customer
requests, order weight, and loading capacity of different types of trucks. After obtaining the delivery table of each
truck, the system will use the help of Google Directions Service to determine the routing order from each truck.
The result of this system is a delivery route optimization system that can provide route selection recommendations for
each truck in the company. The system is also able to sort shipments with various shipping priority restrictions. From
the test results, the PSO algorithm in the system can produce routes with less total distance traveled and less travel
duration than the routes generated manually by the employees in the company
Pelatihan Dan Pendampingan Desain Grafis Bagi Siswa Berkebutuhan Khusus
Get PDFPenggunaan media sosial untuk mendukung kegiatan pemasaran menjadi hal yang sangat penting pada saat ini.
Kemampuan untuk membuat desain konten-konten sosial media yang dapat digunakan untuk memasarkan produk
menjadi penting bagi siswa, termasuk siswa dengan kebutuhan khusus agar dapat melengkapi mereka dengan
kompetensi yang dibutuhkan dalam dunia kerja. Oleh karena itu, dosen dan mahasiswa School of Business and
Management Universitas Kristen Petra mengadakan kegiatan pengabdian pada masyarakat dengan metode
pelatihan dan pendampingan yang ditujukan bagi siswa AORA, sebuah lembaga kursus dan pelatihan bagi siswa
berkebutuhan khusus di Surabaya. Pelatihan dan pendampingan ini diselenggarakan selama kurang lebih 8 minggu
dalam kurun waktu Januari-Maret 2024. Secara spesifik, materi yang diberikan adalah desain grafis dengan
menggunakan aplikasi canva untuk menghasilkan konten berupa poster, name tag produk, katalog produk dan
reels. Secara umum siswa menunjukkan respon yang positif atas kegiatan pelatihan dan pendampingan ini. Mereka
mengakui adanya manfaat dan menyatakan kesediaannya untuk mengikut pelatihan lanjutan yang akan
direncanakan untuk merek
Menggugah Patriotisme via Lagu Nasional Baru
Get PDFArtikel terbit 5 Agt 24. Tanggal terbit saya masukkan hari ini atas saran Pak Zeplin, karena masih ada tenggang 6 bulan sejak artikel terbit (smp Feb25), namun sistem otomatis menandai terlambat apabila ditulis 5Agt24
A Comparative Study between the Facebook Prophet Model and SARIMA for Bitcoin Price Prediction
Get PDFThe volatile nature of cryptocurrency markets, particularly Bitcoin, has led to an increased interest in
developing accurate forecasting models for price predictions. In this study, we conduct a comparative analysis between
two widely used time series forecasting models, the Facebook Prophet Model and SARIMA (Seasonal Autoregressive
Integrated Moving Average), to assess their effectiveness in predicting Bitcoin prices. Based on the conducted tests, the
results indicate that the Facebook Prophet model performs less favourably compared to SARIMA for daily Bitcoin
predictions. However, the Facebook Prophet model yields better results than SARIMA in monthly predictions. The
Mean Absolute Percentage Error (MAPE) for daily Bitcoin predictions is 6.7% when using the Facebook Prophet
model, whereas the MAPE for daily Bitcoin predictions with the SARIMA model is 4.5%. The MAPE for monthly
Bitcoin predictions using the Facebook Prophet model is 2.6%, while the MAPE for monthly Bitcoin predictions with
the SARIMA model is 8.4%
The Rate of Student�s Academic Burnout During Covid-19 Pandemic
Get PDFThis research aimed to determine the level of academic burnout on online learning for junior high school, high school, and college students in East Java. Online learning was one of the governments efforts to minimize the effect of the COVID-19 virus. The use of gadgets for too long could cause various emotional and physical disturbances for the user. Data was collected via a questionnaire asking about the effect of online learning on academic burnout for students in East Java. There were 334 respondents, consists of 102 junior high school students (31%), 104 high school students (31%), and 128 college students (38%). Academic burnout was measured using three dimensions, namely emotional exhaustion, cynicism, and reduced academic efficacy. This present study shows 67.66% of junior high school students, 71.12% of senior high school students, and 68.50% of collage students experienced academic burnout. Online learning increases academic burnout, where the rate of emotional exhaustion is high, however the rate of cynicism and reduced academic efficacy are moderate. Students who prefer offline learning compared to online learning have a higher rate of cynicism because they felt burdened with the assignments given, and the material taught in class was not clear. The analysis of academic burnout from these three dimensions is also concluded in this paper
Evaluation of Shear-Flexure Interaction Behavior of Reinforced Concrete Wall
Get PDFReinforced concrete (RC) wall is a critical structural member that resists lateral loadings, such as earthquake and wind. RC wall having moderate height to length ratio, 1.50-2.50, has the altered shear-flexure interaction (SFI) behavior, so shear and flexural failure mechanisms occur almost concurrently. Therefore, an experimental study of a moderate RC wall was conducted as a comprehensive study of the wall�s coupled nonlinear shear-flexure behavior under cyclic loading. The experimental results show that the RC wall failed in flexure mechanism, indicated by crushing of the flexural compression zone, and followed by immediate shear failure, notified by the occurrence of web crushing. In addition to the experiment, an analytical model using SFI-MVLEM element in OpenSees software was performed to verify the experimental results. The analytical results show that the model is able to simulate reasonably well the coupled nonlinear shear-flexure behavior of the RC wall subjected to cyclic loading
Clustering-based assessment of solar irradiation and temperature attributes for PV power generation site selection: A case of Indonesia�s Java-Bali region
Get PDFThis study presents clustering-based assessments of solar attributes for locating potential solar photovoltaic (PV) power plant sites using k-means and density-based spatial clustering of applications with noise (DBSCAN) by examining the yearly average single-attribute and three-attribute clustering on a dataset of long-term hourly-based direct and diffuse irradiation, ambient temperature, and solar PV power output from 2005 to 2022. Three-attribute clustering enables stakeholders to better understand the characteristics of a cluster by collectively identifying three solar attributes and the magnitude of each attribute in an area or cluster. The presence of this information, which constitutes the clusters, suggests that these attributes have different effects on solar PV output power in different clusters. Although k-means is an effective method for investigating potential locations for PV power plant placements, DBSCAN offers users an alternative method for accomplishing a similar goal. In the case of three-attribute clustering of direct irradiation with k-means and DBSCAN, the 18-year mean value of clusters with the highest yearly average value is achieved at very similar values of 0.305 kW/m2 and 0.310 kW/m2, respectively. It turns out that only six years of direct irradiation had an annual mean value of less than 0.305 kW/m2. This finding implies that in the long run, the solar resources in terms of direct irradiation will typically surpass 0.3 kW/m2/MW installed capacity over all areas suitable for PV power plants. While focusing on the Java-Bali region, Indonesia, the findings, and methods appear to be of broader interest to policymakers, particularly in developing countries where solar PV is considered an option for sustainable energy generation