Pusat Jurnal Ilmiah Universitas Pasir Pengaraian
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Klasifikasi Ekspresi Wajah Menggunakan Convolutional Neural Networks (CNN) pada Dataset FER-2013
Full text linkAutomatic facial expression recognition has become a rapidly growing research field driven by advancements in artificial intelligence and computer vision. However, facial expression classification still faces challenges, particularly in distinguishing expressions with similar characteristics. This study aims to develop a facial expression classification model using Convolutional Neural Networks (CNN) on the FER-2013 dataset. The research stages include data collection and preprocessing, CNN architecture design, model training using the Adam optimizer and categorical crossentropy loss function, and performance evaluation based on accuracy and the confusion matrix. The results indicate that the CNN model can recognize various facial expressions, achieving a maximum validation accuracy of 67.8%. Nevertheless, the model is still able to distinguish certain expressions accurately. Utilizing pretrained models such as VGG-16 or ResNet and implementing transfer learning techniques could enhance model accuracy and stability. With further development, this model has the potential to be applied in various fields, including facial expression-based security systems, human-computer interaction, and emotion analysis
IMPLEMENTASI DATA MINING PREDIKSI KELULUSAN SISWA MENGGUNAKAN METODE DECISION TREE PADA SMK IPTEK TANGSEL
Full text linkVocational High School (SMK) is a formal educational institution that prepares its graduates for the world of work. However, SMK Iptek Tangsel faces challenges in optimizing student data and overcoming labor shortages in the field of education administration. To overcome this problem, this study applies a prediction system using a data mining technique with the decision tree method. Aims to improve the accuracy of student graduation predictions. The methodology of this study adopts a quantitative approach with structured steps, including observation, interviews, data collection, and documentation. The results showed that the accuracy of Rapid miners in motorcycle and multimedia business engineering reached 98.49%, while in hospitality and accounting accommodation reached 99.05%. This graduation prediction system helps schools identify students at risk of not graduating and who are at potential to graduate, optimize data management, and enable appropriate interventions. This research makes a significant contribution to improving the decision-making process in the field of education through the use of data mining technology. Thus, the graduation prediction system can be an effective tool in supporting data management and increasing student graduation in vocational schools
Eksploitasi dan Pencegahan Serangan Man In The Middle (MITM) Dengan Teknik Evil Twin Pada Jaringan Wi-Fi Publik
Full text linkSerangan Man In The Middle (MITM) menjadi ancaman serius dalam keamanan jaringan, khususnya pada Wi-Fi publik dengan perlindungan rendah. Salah satu metode MITM yang umum digunakan adalah Evil Twin , yaitu pembuatan access point tiruan yang menyerupai jaringan asli untuk mengelabui pengguna. Penelitian ini bertujuan mengkaji pelaksanaan serangan Evil Twin serta upaya pencegahannya. Pendekatan yang digunakan bersifat eksperimental melalui simulasi dengan perangkat lunak seperti Aircrack-ng, Hostapd, dan Wireshark untuk proses sniffing , serta pemantauan lalu lintas menggunakan Zui. Hasil menunjukkan bahwa access point palsu berhasil memanggil korban dan memperoleh lalu lintas data yang tidak terenkripsi. Visualisasi melalui Zui menunjukkan adanya aktivitas HTTP dan SSL, serta anomali dari koneksi mencurigakan. Sebagai langkah mitigasi, WiFi Analyzer digunakan untuk mengenali perbedaan teknis antara access point palsu dan asli, seperti SSID, alamat MAC, dan kekuatan sinyal. Penelitian ini menegaskan bahwa simulasi serangan dan deteksi awal dengan alat sederhana mampu meningkatkan kesadaran dan kewaspadaan pengguna terhadap ancaman MITM pada jaringan terbuka
Analisis Framework, Library Front-End Populer : Bootstrap, Tailwind CSS, React, dan Vue Pada Mata Kuliah Perancangan Web Design
Full text linkBootstrap and Tailwind CSS focus more on styling and require additional JavaScript for dynamic manipulation and form validation. Bootstrap provides visual classes that support HTML5 validation, while Tailwind CSS requires manual validation. React and Vue make form validation easier through data binding and external library support. In conclusion, React and Vue are more suitable for applications with high interactivity and dynamic needs, while Bootstrap and Tailwind CSS are more appropriate for rapid prototyping and static design. This study provides insight for developers in choosing front-end technology according to project needs. The results of the analysis show that React and Vue excel in DOM and event management because they use virtual DOM and a reactive system that facilitates the development of interactive applications
THE EFFECT OF GINGER AROMATHERAPY ON REDUCING THE FREQUENCY OF NAUSEA AND VOMITING IN FIRST TRIMESTER PREGNANT WOMEN IN THE KEPENUHAN HEALTH CENTER WORK AREA
Full text linkNausea and vomiting during pregnancy typically occur between the 4th and 8th weeks of gestation and may persist until the 14th to 16th week. These symptoms are experienced by approximately 70-80% of pregnant women. Among various herbal aromatherapies, ginger aromatherapy is considered the most effective and offers several advantages for pregnant women experiencing nausea and vomiting compared to other herbal options. This study employed a pre-experimental research design using a One-Group Pretest-Posttest Design, conducted from March 20 to April 20, 2023. A total of 32 participants in their first trimester of pregnancy, residing in the working area of Kepenuhan Public Health Center, were provided with ginger aromatherapy to assess its effectiveness in reducing nausea and vomiting. The analysis of the data revealed that after the intervention, the majority of participants (24 pregnant women or 75%) reported no further nausea and vomiting, while 8 participants (25%) continued to experience these symptoms. The statistical analysis yielded an Asymp. A sig value of 0.042, indicating that p < 0.05, leads to the acceptance of the alternative hypothesis (Ha) and the rejection of the null hypothesis (Ho). These findings that the application of ginger aromatherapy is effective in significantly reducing the frequency of nausea and vomiting among first-trimester pregnant women in the working area of Kepenuhan Public Health Center in 2023
Development of experiential learning-based tools to enhance students creative thinking in quadrilaterals and triangles
Full text linkThe limited availability of supplementary mathematics learning resources aligned with the 2013 Curriculum motivated this study. The objective was to develop learning tools comprising a syllabus, lesson plans, and student worksheets on the topics of quadrilaterals and triangles for seventh-grade SMP/MTs students, using an experiential learning approach to enhance their creative thinking abilities. This research employed the 4D development model, consisting of the define, design, develop, and disseminate phases. Data were collected through questionnaires, observations, and interviews. The research instruments included validation sheets and practicality questionnaires. Expert validation indicated high levels of validity, with average scores of 3.56 for the syllabus, 3.70 for the lesson plans, and 3.67 for the student worksheets. Student worksheets were also found to be highly practical, as reflected in student response scores of 3.48 in large group trials and 3.51 in small group trials. These findings confirm that the developed mathematics learning tools are both valid and practical for use by seventh-grade students in SMP/MTs
Max-plus algebra modeling for outpatient service queues in Yogyakarta private hospitals
Full text linkThis study aims to model the outpatient service queue system in a private hospital in Yogyakarta using the Max-Plus algebra approach and to represent the model using a Petri net. The research was motivated by the complexity and inefficiency observed in outpatient queues, which often lead to long and unpredictable waiting times. Data were collected through direct observation of the outpatient process on the fourth floor of a private hospital. The sequence of services was first illustrated using a flowchart to map each stage experienced by patients. The time data for each process were then used to construct a Max-Plus algebra matrix, providing a mathematical model of the system. This model was further expressed in the form of a Petri net to illustrate the discrete and sequential nature of the service flow. The simulation was performed using Scilab software to analyze the system\u27s dynamics. Results from the simulation revealed that the service system is non-periodic, indicated by the absence of an eigenvalue. This suggests that the total service time may increase as the number of patients grows. The findings provide insight into the structure of the outpatient queue system and offer a mathematical framework for future system analysis or optimization
Learning models to improve higher-order thinking skills in mathematics: A systematic literature review
Full text linkHigher-Order Thinking Skills (HOTS) are essential abilities that students must possess in order to face complex problems and think critically. The role of learning models is crucial in developing students\u27 HOTS, as they provide structured and meaningful learning experiences. Numerous learning models have been applied to facilitate and improve students’ higher-order thinking, particularly in mathematics. This study employed a Systematic Literature Review (SLR) approach, which involved collecting and analyzing previously published articles indexed by Google Scholar. The articles were gathered using the Publish or Perish software, with keywords such as "learning model," "HOTS," and "mathematics." A total of 25 relevant articles were reviewed. The findings revealed that several learning models have proven effective in enhancing students\u27 HOTS, including Problem-Based Learning, Project-Based Learning, Discovery Learning, Creative Problem Solving, CORE, and Missouri Mathematics Program. The specific HOTS skills improved through these models include critical thinking, creative thinking, reasoning, and problem-solving abilities. The implication of this study is that educators are encouraged to design instructional activities using learning models with proven effectiveness in fostering students\u27 higher-order thinking skills
ANALISIS PERBEDAAN PENERIMAAN PAJAK SEBELUM DAN SESUDAH e-SAMSAT PADA PAJAK KENDARAAN BERMOTOR DI KANTOR SAMSAT TAMBUSAI
Full text linkPemungutan Pajak Kendaraan Bermotor (PKB) menjadi aspek penting dalam pendapatan daerah, dengan adanya program e-samsat menjadi salah satu inisiatif yang dapat di implementasikan untuk meningkatkan aksesibilitas dan kepatuhan wajib pajak. Penelitian ini bertujuan untuk mengevaluasi efektivitas dalam pelaksanaan program samsat yaitu pembayaran melalui e-samsat dalam pemungutan pajak kendaraan bermotor. Diperlukan upaya yang lebih besar dalam meningkatkan koordinasi antara pihak terkait, meningkatkan promosi dan edukasi kepada masyarakat, serta perbaikan infrastruktur jaringan yang masih belum sampai kedesa desa terpencil untuk memaksimalkan potensi program ini dalam meningkatkan penerimaan pajak kendaraan bermotor secara keseluruhan. Penelitian ini memberikan wawasan yang berharga bagi pengembangan dan perbaikan lebih lanjut dalam implementasi Program E-Samsat
PENGARUH MODAL KERJA DAN PENJUALAN TERHADAP LABA BERSIH PADA PERUSAHAAN SUB SEKTOR FOOD AND BEVERAGES
Full text linkPenelitian ini memiliki tujuan dalam memastikan bagaimana penjualan dan modal kerja mempengaruhi laba bersih perusahaan di subsektor Food And Beverages yang tercatat di Bursa Efek Indonesia antara tahun 2021 dan 2023. Metodologi penelitian ini bersifat kuantitatif. 24 perusahaan di subsektor makanan dan minuman (Food And Beverages) yang terdaftar di Bursa Efek Indonesia (BEI) membentuk populasi. 16 subsektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia (BEI) menjadi sampel penelitian. Analisis regresi linier berganda yang dipakai untuk menganalisis data untuk penyelidikan ini. Penelitian ini menghasilkan bahwa meskipun penjualan tidak ada mempengaruhi laba bersih perusahaan di subsektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia, modal kerja mempunyai pengaruh yang signifikansi dan positif terhadap laba bersih perusahaan dan operasi tersebut. Laba bersih perusahaan di subsektor Food And Beverages yang tercatat di Bursa Efek Indonesia dipengaruhi secara signifikan baik oleh modal kerja maupun penjualan