Portal E-Journal Politeknik Negeri Bengkalis
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PRODUKTIVITAS KAPAL SLEREK MENGGUNAKAN MESIN PENGGERAK BERBEDA DI PELABUHAN PERIKANAN NUSANTARA PENGAMBENGAN, BALI
Get PDFTingginya nilai ekonomi pada kegiatan penangkapan ikan menjadikan usaha penangkapan ikan sebagai usaha yang menjanjikan. Juragan darat atau pemilik modal akan berupaya meningkatkan produktivitasnya demi mencapai keuntungan yang lebih tinggi. Salah satu upaya yang dilakukan adalah dengan melakukan modifikasi mesin penggerak pada kapal. Kapal slerek di PPN Pengambengan biasanya menggunakan beberapa jenis mesin yaitu mesin dengan merek Yanmar dan mesin merek Mitsubishi. beberapa alasan penggunaan mesin tersebut terkait dengan biaya pemeliharaan dan operasional yang dapat mempengaruhi pendapatan nelayan. Biaya operasional dalam kegiatan penangkapan terdiri atas pembelian bahan bakar minyak (BBM) setiap trip penangkapan, pemeliharaan jaring, mesin dan kapal, serta pembelian es atau garam. Berdasarkan hal tersebut, perlu dilakukan pengamatan terkait produktivitas dan feasibility study terkait penggunaan mesin penggerak yang berbeda pada kapal slerek. Dari hasil penelitian diketahui bahwa penggunaan mesin Yanmar dan Mistubhisi dalam kegiatan penangkapan kapal slerek menghasilkan nilai produktivitas yang berbeda, terutama pada nilai produktivitas per PK mesin, produktivitas per biaya dan produktivitas per BBM serta produktivitas per ABK. Akan tetapi, secara perhitungan analisa kelayakan usaha keduanya dapat dikatakan sebagai usaha yang layak dijalankan dengan nilai ROI, NPV dan PPC yang tidak jauh berbeda antara kapal I dan kapal II.Â
USING THE KAHOOT APPLICATION IN EVALUATING INFORMATICS ENGINEERING STUDENTS' LEARNING ENGLISH AT THE STATE POLYTECHNIC OF BENGKALIS
Get PDFAbstract: Many educators started to utilize technology application activities in the classroom. Kahoot is known to be an interactive approach to conducting quizzes or tests. In this study, the author discusses using the Kahoot application in evaluating informatics engineering students learning English. A qualitative approach utilizing data by using tests and documentation by taking a sample of 15 students undergoing the Applied Bachelor in Informatics Engineering Program. The findings using Kahoot are effective as an assessment of learning English and students' scores got very good category (6 students) with 40% percent from all 15 students involved. Keywords: Kahoot, Application, English Learnin
Pengaruh Contrast Limited Adaptive Histogram Equlization dalam Klasifikasi CT-Scan Tumor Ginjal menggunakan Deep Learning
Get PDFThe human excretory system, comprising the kidneys, ureters, and bladder, plays a crucial role in maintaining overall body health by filtering blood and eliminating waste products, including water and toxins. However, kidneys are susceptible to various diseases, such as kidney tumors, which present a significant global health challenge, with over 430,000 new cases reported in 2020. This research focuses on using CT-scan imaging techniques to analyze and assess kidney tumors. The study employs the Image Enhancement Contrast Limited Adaptive Histogram Equalization (CLAHE) method to enhance the quality of Kidney Tumor CT-Scan images for deep learning classification using the MobileNetV2 Architecture. The dataset, consisting of 4,560 images, is divided into training, validation, and testing sets in an 80:20 ratio. Applying CLAHE with a clip limit of 20 and an 8x8 tile grid significantly improves evaluation metrics compared to non-CLAHE datasets, achieving an impressive f1-score of 99.56% and accuracy of 99.56%. This improvement is achieved using the Adam optimizer with a learning rate of 0.01. These findings underscore the efficacy of CLAHE in enhancing the model's performance in kidney tumor classification. They are particularly valuable for radiologists as they enhance diagnostic accuracy and efficiency, potentially reducing diagnostic errors and improving patient outcomes
Analisis Kualitas Sistem SLIMS Terhadap Kepuasan Mahasiswa Dengan Metode E-Servqual dan Importance Performance Analysis
Get PDFSLIMS at the XYZ University library has been built since 2014 and began to be implemented in 2018 and has been running until now. During implementation there were several problems, including incomplete book collections, this caused students to prefer choosing books manually. Apart from that, sometimes there are still some problems that occur when processing the data used. Many users still don't understand how to use SLIMS. This research aims to measure the level of user satisfaction and provide suggestions for improving the SLIMS system. The method used in this research is E-Servqual which has 5 variables in this method and the Importance Performance Analysis method is used to compare user assessments of the level of importance of service quality. The data obtained from this research was distributing questionnaires to a sample of 100 respondents. Data processing was carried out using the SMART-PLS 4 tool. The analysis results obtained for the level of user satisfaction were 3 variables that were significant and influenced user satisfaction, namely the Empathy, Responsiveness and Tangible variables. Meanwhile, the other 2 variables, namely Assurance and Reliability, do not have a significant relationship with user satisfaction. This shows that students are still quite satisfied and a science analysis was carried out on 4 quadrants to evaluate service factor based on the level of user satisfactio
Pengaruh E-service Quality terhadap Customer Satisfaction dan Customer Loyalty pada Aplikasi Transportasi Online maxim
Get PDFmaxim adalah perusahaan transportasi berbasis teknologi yang menggunakan aplikasi online sebagai sarana utama. Sebagai salah satu perusahaan taksi terbesar ketiga di Rusia, maxim telah memperluas operasinya di Indonesia sejak 2018, menyediakan layanan transportasi online termasuk taksi, ojek, dan mobil. Respons terhadap layanan maxim bervariasi, dianggap sebagai solusi untuk kebutuhan transportasi umum terutama di daerah-daerah terpencil. Penelitian dilakukan untuk memberikan dampak Kualitas Layanan Elektronik terhadap Tingkat Kepuasan dan Kesetiaan Pelanggan terhadap aplikasi Maxim yang telah disimpan. Pendekatan penelitian ini bersifat kuantitatif dengan pengambilan sampel secara purposive dari 100 pengguna aplikasi Gojek di Universitas Islam Negeri Sultan Syarif Kasim Riau. Hasil analisis menunjukkan bahwa Kualitas Layanan Elektronik mempunyai pengaruh yang signifikan terhadap Kepuasan Pelanggan, namun tidak berpengaruh secara signifikan terhadap Kesetiaan Pelanggan. Sementara itu, Kepuasan Pelanggan berdampak pada Kesetiaan Pelanggan, dengan Kepuasan Pelanggan sebagai mediator antara Kualitas Layanan Elektronik dan Kesetiaan Pelanggan. . Disarankan penelitian selanjutnya mempertimbangkan variabel dependen lainnya dan memasukkan variabel-variabel yang lebih luas terkait kualitas layanan elektronik untuk pemahaman yang lebih mendala
Analisis Kepuasan Pengguna Akhir Aplikasi Mytelkomsel Menggunakan Metode End User Computing Satisfaction (EUCS)
Get PDFAplikasi MyTelkomsel merupakan layanan yang diciptakan Telkomsel berbentuk aplikasi sehingga memberikan kemudahan kepada pengguna dalam mengelola akun dan mengakses layanan menggunakan smartphone. Tujuan penelitian ini adalah untuk menilai pengaruh variabel isi, keakuratan, bentuk, kemudahan pengguna, dan ketepatan waktu terhadap user satisfaction (kepuasan pengguna) aplikasi Mytelkomsel, dengan harapan hasilnya dapat meningkatkan user satisfaction di masa mendatang. Penelitian ini menggunakan metode End User Computing Satisfaction (EUCS) dengan lima variabel bebas : isi, keakuratan, bentuk, kemudahan pengguna, ketepatan waktu, serta satu variabel terikat user satisfaction. untuk proses pengumpulan data sebagai bahan penelitian maka dilakukan penyebaran kusioner secara online kepada pengguna aktif aplikasi Mytelkomsel versi terbaru dan data diolah menggunakan perangkat lunak SPSS 26. Hasil penelitian menunjukkan bahwa dari uji T parsial, setiap dari lima variabel, yaitu Variabel isi, keakuratan, bentuk, kemudahan pengguna, ketepatan waktu, menunjukkan pengaruh yang significant terhadap user satisfaction, sehingga hipotesis H1, H2, H3, H4, dan H5 dapat diterima. Hasil uji F juga mengindikasikan bahwa secara bersama-sama, Isi, keakuratan, bentuk, kemudahan pengguna, ketepatan waktu mempengaruhi user satisfaction aplikasi Mytelkomsel, sehingga H6 diterima. Variabel independen yang paling dominan memengaruhi user satisfaction adalah Format sebab memiliki hasil koefisien regresi tertinggi pada analisa regresi linier berganda
Optimasi Algoritma Support Vector Machine (SVM) Dengan Menggunakan Feature Selection Gain Ratio Untuk Analisis Sentimen
Get PDFThe ease of internet access has had a positive impact on the increase in the number of social media users in Indonesia. One of the most widely used applications is X or Twitter. Users often upload posts that contain opinions or sentiments, which trigger debates and discussions. This is interesting to analyze as a study of sentiments or opinions that are trending in society. For this analysis, algorithms such as Support Vector Machine (SVM) are required, which are often used for sentiment analysis. However, SVM lacks in accuracy due to the large number of similar words in the dataset. Words related to sentiment analysis usually have large dimensions, so feature selection is needed to improve SVM performance. This research aims to optimize SVM accuracy by using Feature Selection Gain Ratio. The object of research is a dataset related to the 2017 DKI elections from GitHub. The results showed an increase in SVM accuracy with Feature Selection Gain Ratio. With threshold weight gain ratio 0.0001 (1732 features), accuracy increases from 61.63% to 71.51%. For threshold weights 0.002 (518 features), the accuracy increased from 61.63% to 62.79%. Feature selection with Feature Selection Gain Ratio gain ratio produces better accuracy than gain ratio, namely 56.40% with gain ratio and 71.51% with gain ratio for weights 0.0001. The implications of these findings show that the use of Feature Selection Gain Ratio can improve the accuracy of SVM in sentiment analysis. Social media practitioners can utilize this technique to gain more accurate insights from user data. Further research can focus on developing sentiment analysis algorithms with more sophisticated feature selection techniques for various applications on social media platforms
DESAIN PERKUATAN GEOTEXTILE PADA TIMBUNAN KHUSUS STUDI KASUS JALAN TOL RUAS PEKANBARU PADANG SEKSI BANGKINANG PANGKALAN STA 1+035 IC
No full textThe bearing capacity of a soil is the ability of a soil to safely withstand the stresses placed on it without causing shear collapse and excessive settlement. The lack of bearing capacity of the subgrade at the location causes two problems, namely due to the height of the embankment reaching 10 m, it will cause landslides and collapse of the bearing capacity of the subgrade. This paper aims to determine how many safety factors occur manually and using the XSTABLE application and how many layers of geotextile are needed. From the results of analysis and calculation obtained (SF) that occurs without reinforcement is 0.701 (soil without load), 0.688 (soil plus structural load), 0.694 (soil plus truck load), 0.624 (soil plus earthquake load), and 0.548 (soil plus all loads). The maximum embankment height that can be done without reinforcement is 2.51 m high with SF 1.5 and the number of geotextile layers required is if the geotextile specification used is woven type 100 - 50 with Sv 0.2 m, there are 46 layers with layers 1-34 using 2 sheets of geotextile. As for the specification of geotextile woven 200 - 50 with Sv 0.25, there are 32 layers with layers 1-5 using 2 sheets of geotextile and Sv 0.4m 25 layers with layers 1-17 using 2 sheets of geotextile
Analysis of Indonesian Startup Companies Affected By the Bubble Burst (Case Study on PT GoTo Gojek Tokopedia Tbk.)
Get PDFThe phenomenon of mass layoffs and falling stock prices of Indonesian startups when they have just conducted an Initial Public Offering (IPO) at a time of increasing startup growth during the pandemic, assumes the occurrence of a bubble burst phenomenon in Indonesian startups. This study tries to investigate the phases of the emergence of a speculation bubble in the startup PT GoTo Gojek Tokopedia Tbk by using the Kindleberger-Minsky model on GoTo. This research is qualitative research and uses library research methods by collecting data from various written sources such as books, articles, journals and existing research. The results of this study indicate that GoTo does not meet the bubble burst criteria based on the theory of bubble burst emergence patterns by Kindleberger-Minsky and there are no typical signs of speculation bubbles as seen in historical bubbles. .Keywords: Startup, Bubble Burst, Speculative Bubble Phase