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Pengaruh Kompensasi, Fasilitas dan Promosi Jabatan terhadap Kinerja Karyawan pada PT. Cipta Budaya Rasa Hendry, Hendry; Harsono, Alvin; Cen, Cindy; Livika, Livika; Billy, Billy
JIIP - Jurnal Ilmiah Ilmu Pendidikan Vol. 5 No. 5 (2022): JIIP (Jurnal Ilmiah Ilmu Pendidikan)
Publisher : STKIP Yapis Dompu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.359 KB) | DOI: 10.54371/jiip.v5i5.565

Abstract

Tujuan penelitian ini dilakukan yaitu untuk mengetahui penyebab penurunan kinerja terhadap karyawan PT. Cipta Budaya Rasa. Pada penelitian ini, peneliti menggunakan jenis penelitian Random sampling. Penelitian ini berdasarkan fakta yang kami amati secara langsung pada PT. Cipta Budaya Rasa. Sumber data penelitian ini berasal dari data primer dan data sekunder. Data primer diperoleh dari kuesioner terhadap karyawan, sedangkan data sekunder dari referensi dan buku yang berhubungan dengan penelitian ini. Penelitian ini bertujuan mengetahui pengaruh secara parsial dan simultan antara variabel X terhadap variabel Y. Hasil penelitian ini menunjukan bahwa kompensasi tidak memiliki pengaruh dan tidak signifikan secara parsial terhadap kinerja karena didapati bahwa thitung < ttabel, yaitu 0.046 < 1.982. Lalu fasilitas juga tidak memiliki pengaruh dan tidak signifikan secara parsial terhadap kinerja karena didapati bahwa thitung < ttabel, yaitu 0.895 < 1.982. Namun promosi jabatan berpengaruh dan signifikan secara parsial terhadap kinerja karyawan. Hal ini terlihat dari nilai thitung>ttabel, yaitu 3.431 > 1.982. Hasil penelitian ini adalah variabel kompensasi, fasilitas, dan promosi jabatan berpengaruh secara simultan terhadap kinerja karyawan PT. Cipta Budaya Rasa. Hal ini dikuatkan oleh hasil uji f, dimana fhitung>ftabel yaitu 4.950 > 2.69.
TIME SERIES MODEL FOR TRAIN PASSENGER FORECASTING Hakim, Bashir Ammar; Billy, Billy; Notodiputro, Khairil Anwar; Angraini, Yenni; Mualifah, Laily Nissa Atul
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp755-766

Abstract

Trains as a means of public transportation have an important role in connecting various regions of Jabodetabek. Therefore, it is necessary to have a deep understanding of the trend of train passenger movements and predict the number of train passengers in the next period in order to optimize the management and service of train passengers properly. In this study, we examine two methods that can be used as forecasting methods for train passenger data sourced from the Central Statistics Agency (BPS), namely ARIMA and Prophet. This study demonstrates that the optimal ARIMA model is ARIMA (0,2,1), achieving a Mean Absolute Percentage Error (MAPE) of 4.91% and a Root Mean Square Error (RMSE) of 1754.970. In addition, the Prophet model, which is an additive regression model designed by Facebook for time series forecasting was also obtained with a MAPE of 0.04% and an RMSE of 1170.59. Considering the MAPE and RMSE values of the two models, the Prophet model emerges as the most suitable for forecasting the number of train passengers in the Jabodetabek region.
Survival Rate of Patients with Glioblastoma Treated with Radiotherapy and Temozolomide Compared to Radiotherapy Alone: A Comprehensive Systematic Review and Meta-Analysis Billy, Billy; Christoper, Andreas; Sembiring, Indri Meiya; Donny, Donny; Risfandi, Marsal
AKSONA Vol. 6 No. 1 (2026): JANUARY 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/aksona.v6i1.71425

Abstract

Highlight: Glioblastoma is the most prevalent and deadly primary malignant brain tumor. The prognosis for glioblastoma remains unfavorable because of detrimental prognostic factors. Appropriate and advanced treatment can help in improving the survival rate of patients with glioblastoma.   ABSTRACT Introduction: Glioblastoma is one of the deadly malignant brain tumor associated with a highly unfavorable prognosis, making it one of the significant challenge for clinicas due to its unfavorable poor prognostic. Patients with glioblastomas may experience headaches, nausea, vomiting, loss of consciousness, seizure/convulsion, altered mental status, and focal neurological deficits. Chemotherapy, radiation, and surgical resection became standar therapeutic options for patient with glioblastoma. This advanced treatment is important for increasing the survival rate of patients. Objective: This study aimed to evaluate survival outcomes in patients with glioblastoma treated with temozolomide plus radiotherapy compared with radiotherapy alone Methods: This study followed PRISMA guidelines and used the PICO framework. The inclusion criteria encompassed a range of study designs, including randomized controlled trials (RCTs), quasi-experimental, observational, and case-control studies, that evaluated survival outcomes in glioblastoma patients treated with radiotherapy plus 6 cycles of adjuvant temozolomide versus radiotherapy alone. Exclusion criteria eliminated studies that were  not relevant to the comparative treatment approach. Results: Following three stages of screening, six articles that were directly relevant to the systematic review were selected for full-text analysis. Overall, radiotherapy plus temozolomide had better outcomes than radiotherapy alone. Median overall survival (OS) ranged from 10 to 17.5 months in patients with radiotherapy plus temozolomide, compared with 8 to 14 months in those treated with radiotherapy alone. Median progression-free survival (PFS) ranged from 6 to 10.1 months in patients with radiotherapy plus temozolomide, and 3.8 treated with radiotherapy alone. Conclusion: Diagnosing NPH remains challenging due to the overlap of its cognitive impairment symptoms with other neurocognitive disorders. Furthermore treatment response vary widely, makin it difficult for clinicians to effectively manage NPH patients. Although early and prompt diagnosis is crucial for successful therapy, clinician still face significant challenge.
SIPANDU: An IoT-Based Integrated River Waste Monitoring and Collection System Powered by Solar Energy Kamil, Irfan; Christiono, Christiono; Salmah An’nafri, Davina; Billy, Billy; Lisdi Pamungkas, Surya; Wijaya Hidayat, Yongky
International Journal of Engineering Continuity Vol. 5 No. 1 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i1.523

Abstract

River pollution caused by waste accumulation, especially plastic waste, has become a significant environmental problem in urban areas. Rivers act as transportation routes that carry waste from land to sea and contribute to global plastic pollution. Various Internet of Things (IoT)-based water quality monitoring systems have been developed to monitor environmental conditions in real time. However, most existing research still focuses on monitoring environmental parameters without integrating with automatic waste transport mechanisms or independent energy sources, which limits the effectiveness of the system, especially in river locations far from electricity sources. This study proposes SIPANDU (Integrated River Waste Monitoring System), an IoT-based system that integrates direct river condition monitoring, waste transport mechanisms using automatic conveyors, and the use of renewable energy through solar power plants. This system consists of a 100 Wp solar panel, a battery for energy storage, water quality sensors (pH and TDS), an ultrasonic sensor to detect the presence of waste, and a web-based monitoring platform for real-time data visualization. The test results show that the solar panels produce a maximum power of 61.1 W with an average power of around 41.87 W. The conveyor system is capable of transporting up to 5 kg of waste with an average power consumption of 33.43 W. The integration of the IoT system, renewable energy, and automatic waste transportation shows that SIPANDU can function as a river monitoring system as well as a sustainable technology solution for waste management in rivers.