Online Journal Systems UNPAM (Universitas Pamulang)
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Conversational Implicature in Steve’s Talented Kids: An Analysis of the “Extraordinary Kids Edition” Episode
No full textThis study aims to identify how conversational implicature is used in selected videos from Steve’s TV Show, specifically the episode titled “Extraordinary Kids Edition” featuring “Steve’s Talented Kids.” The study employed a descriptive qualitative approach and applied Grice’s (1975) theory of conversational implicature as the analytical framework. Based on the analysis, seven instances of conversational implicature were identified. The findings indicate that violations of the maxim of quality occurred more frequently than violations of other maxims, making it the most dominant source of conversational implicature in the data. Overall, the analysis revealed violations of several Gricean maxims, including quantity, quality, relevance, and manner. One instance involved a violation of the maxim of quantity, reflecting an imbalance in the amount of information provided. Three instances violated the maxim of quality, suggesting the use of inaccurate or exaggerated information. One instance violated the maxim of relevance, where the response was not directly related to the conversational context. Finally, two instances violated the maxim of manner, indicating unclear or overly complex expressions. These violations of conversational maxims contributed to the emergence of implicature through various pragmatic strategies, such as incomplete information, inaccurate statements, irrelevant responses, and ambiguous or indirect modes of expression.
Desain dan Rancang Bangun Reaktor Fotokatalitik Sederhana untuk Pengolahan Air Limbah
No full textLimbah cair adalah sisa buangan berwujud cair yang berasal dari berbagai kegiatan seperti rumah tangga, industri, dan pertanian, yang mengandung bahan organik, anorganik, bahkan zat berbahaya. Jika tidak diolah, limbah cair dapat mencemari lingkungan dan membahayakan kesehatan karena dapat mengandung polutan seperti minyak, logam berat, dan bahan kimia berbahaya lainnya. Teknologi pengolahan limbah cair dengan metode fotokatalitik ini menjadi alternatif terbaik yang perlu disosialisasikan dan dikembangkan pada khalayak industri dan masyarakat untuk meningkatkan efisiensi degradasi limbah dan mengurangi dampak lingkungan Melalui program tri dharma perguruan tinggi yang dilakukan dosen Teknik Mesin UNPAM maka program pengabdian kepada masyarakat (PKM) pada tahun 2025 bertujuan untuk melakukan sosialisasi, mendesain, dan rancang bangun reaktor fotokatalitik sederhana dalam upaya pengolahan limbah cair dengan mengunakan energi cahaya (UV-VIS atau sinar matahari). Kegiatan PKM ini meliputi sosialisasi prinsip fotokatalitik dalam pengolahan limbah cair, desain reaktor dan rancang bangun reaktor fotokatalitik menggunakan material yang mudah didapatkan dan berharga murah. Sasaran dari kegiatan PKM ini adalah terciptanya lingkungan khususnya perairan yang bersih dari pencemaran limbah cair yang membahayakan makhluk hidup sekitarnya disamping juga teknologi ini bermanfaat bagi masyarakat dan industri dalam mengimplementasikan sistem pengolahan limbah yang efisien, ekonomis, dan berkelanjutan, sekaligus memberikan kontribusi terhadap pengembangan teknologi hijau untuk mitigasi pencemaran air di Indonesia
ANALYSIS OF PT SUPERKRANE MITRA UTAMA TBK'S FINANCIAL STATEMENTS AS A BASIS FOR EVALUATING THE COMPANY'S PERFORMANCE FROM 2015 TO 2024
No full textThis study aims to analyze the financial statements of PT Superkrane Mitra Utama Tbk during the period 2015–2024 as a basis for assessing the company's financial performance. Financial statement analysis is an important instrument in evaluating the effectiveness of asset management, liabilities, and company profitability. The research method used is a descriptive quantitative method, with a financial ratio analysis approach that includes liquidity, solvency, activity, and profitability ratios. The data used is secondary data obtained from the company's annual financial reports published through the Indonesia Stock Exchange (IDX). The results show that PT Superkrane Mitra Utama Tbk has relatively stable financial performance with an upward trend in profitability and activity efficiency ratios after the COVID-19 pandemic. The company's liquidity ratio remained stable despite cash fluctuations in several years, while the solvency ratio showed an improvement in capital structure with a decrease in debt dependence. Overall, these results illustrate the company's ability to maintain long-term financial growth and stability. This study contributes scientifically to strengthening the theory of financial statement analysis as a tool for assessing company performance, as well as providing practical implications for management and investors in strategic decision-making. However, this study has limitations because it only uses quantitative data without considering external factors such as macroeconomic conditions and government policies. Further research is recommended to include external variables in order to obtain more comprehensive results
COMPARATIVE ANALYSIS OF CAPITAL STRUCTURE AND REVENUE GROWTH IN DETERMINING COMPANY VALUE: A STUDY ON BUKALAPAK AFTER IPO
No full textThis study aims to analyze the effect of capital structure comparison and revenue growth on firm value at PT Bukalapak Tbk during the 2019–2023 period. The research method used is comparative descriptive with a quantitative approach, using secondary data obtained from annual reports and official publications of the Indonesia Stock Exchange. The variables analyzed include the Debt to Equity Ratio (DER), revenue growth rate, and Tobin's Q ratio as indicators of firm value. The results show that the DER ratio experienced a significant decrease from 0.77 in 2019 to 0.03 in 2023, indicating a shift towards a more conservative and equity-based funding structure after the Initial Public Offering (IPO). Meanwhile, revenue growth increased sharply, reaching approximately 93% in 2022, demonstrating the success of the company's digital expansion strategy. However, the decline in Tobin's Q from 1.93 in 2021 to 0.91 in 2023 reflects that market perception of the company's profitability remains cautious despite the revenue increase. This study concludes that high revenue growth does not necessarily guarantee increased company value if it is not accompanied by stable profitability and operational efficiency. These findings emphasize the importance of financial stability and effective management strategies to strengthen investor confidence and increase company value in the long term 
The Influence Of Self-Development And Performance Assessment On Career Development Motivation Of Working Students
No full textThis study aims to analyze the influence of self-development and performance appraisal on career development motivation among working students. Working students are individuals who simultaneously carry out two roles, as learners and employees. This dual responsibility requires them to manage time effectively, cope with stress, and maintain motivation for career advancement. In this context, opportunities for self-development and an objective performance appraisal system in the workplace become crucial factors that can affect their motivation to pursue career growth.This research employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to students who work part-time and full-time across various employment sectors. The data were analyzed using validity and reliability tests, multiple linear regression analysis, and t-tests and F-tests to measure the influence of independent variables on the dependent variable. The independent variables in this study consist of self-development (X₁) and performance appraisal (X₂), while the dependent variable is career development motivation (Y). The results indicate that self-development has a positive and significant effect on the career development motivation of working students. This finding suggests that the more opportunities individuals have to enhance their skills and personal potential, the higher their motivation to pursue better career paths. Furthermore, objective performance appraisal also has a significant effect on career motivation, as it provides fairness, recognition, and constructive feedback for working students. Simultaneously, both variables contribute significantly to improving career development motivation.This study provides practical implications for organizations and educational institutions to create environments that support self-development and apply transparent and fair performance appraisal systems. Such efforts can enhance the career motivation of working students in achieving their professional goals
Pencegahan dan Penanganan Tindakan Bullying di Lingkungan Sekolah SMK Insan Cendikia
No full textABSTRACT
Bullying remains a serious problem in the school environment and has negative impacts on students’ psychological, social, and academic development. This community service activity was conducted as an effort to increase students’ awareness and understanding of bullying prevention and handling in the school environment. The activity aimed to provide students with comprehensive knowledge about the concept of bullying, its forms, causes, impacts, as well as appropriate prevention and response strategies. The program was implemented at SMK Insan Cendikia through educational counseling using direct material presentation, interactive discussions, and question-and-answer sessions involving students from different grade levels. The results of the activity showed an improvement in students’ understanding of bullying and its consequences, as well as increased awareness of the importance of empathy, tolerance, and mutual respect in daily interactions. Students also demonstrated a more positive attitude toward reporting and responding to bullying incidents appropriately. In conclusion, educational and participatory approaches through community service activities are effective in strengthening students’ awareness and fostering positive behavior to support the creation of a safe, comfortable, and bullying-free school environment.
Keywords: bullying, school environment, community service, character education
ABSTRAK
Bullying masih menjadi permasalahan serius di lingkungan sekolah dan memberikan dampak negatif terhadap perkembangan psikologis, sosial, dan akademik siswa. Kegiatan pengabdian kepada masyarakat ini dilaksanakan sebagai upaya untuk meningkatkan kesadaran dan pemahaman siswa mengenai pencegahan dan penanganan bullying di lingkungan sekolah. Tujuan kegiatan ini adalah memberikan pemahaman yang komprehensif kepada siswa tentang konsep bullying, bentuk-bentuknya, faktor penyebab, dampak yang ditimbulkan, serta upaya pencegahan dan penanganan yang dapat dilakukan. Kegiatan dilaksanakan di SMK Insan Cendikia melalui metode penyuluhan dan sosialisasi dengan pemaparan materi secara langsung, diskusi interaktif, serta sesi tanya jawab yang melibatkan siswa dari berbagai tingkat kelas. Hasil kegiatan menunjukkan adanya peningkatan pemahaman siswa mengenai bullying dan dampak negatifnya, serta tumbuhnya kesadaran akan pentingnya sikap empati, toleransi, dan saling menghargai dalam kehidupan sehari-hari. Selain itu, siswa menunjukkan sikap yang lebih positif terhadap upaya pelaporan dan penanganan bullying secara tepat. Kegiatan ini dapat disimpulkan efektif dalam mendukung terciptanya lingkungan sekolah yang aman, kondusif, dan bebas dari tindakan perundungan.
Kata kunci: bullying, lingkungan sekolah, pengabdian kepada masyarakat, pendidikan karakte
Pemanfaatan Teknologi Pendeteksi Suhu Dan Kelembaban Pada Smart Home
No full textKemajuan teknologi mendorong penerapan konsep smart home untuk meningkatkan kenyamanan, efisiensi energi, dan keamanan hunian. Salah satu aspek penting dalam sistem smart home adalah pemantauan suhu dan kelembaban secara real-time, yang berkontribusi pada pengaturan lingkungan rumah secara otomatis. Penelitian ini mengembangkan teknologi pendeteksi suhu dan kelembaban berbasis Internet of Things (IoT) dengan menggunakan sensor DHT22 dan mikkontroler Arduino, sebagai solusi inovatif untuk meningkatkan efisiensi dan kenyamanan lingkungan kerja di ruang kantor guru dalam mengatur kipas angin secara otomatis saat suhu ruangan mencapai batas tertentu. Pendekatan ini bertujuan untuk menciptakan lingkungan kerja yang lebih nyaman bagi para guru dengan respons cepat terhadap perubahan suhu. Selain itu, proyek ini mempertimbangkan pengaplikasian kipas angin ke AC sebagai perluasan penggunaan. Penelitian ini diharapkan memberikan dampak positif dan solusi cerdas untuk meningkatkan kualitas lingkungan kerja di ruang kantor guru, serta akan didiseminasi kepada siswa SMA, SMK, atau MA untuk meningkatkan kesadaran teknologi. Sistem monitoring juga akan diterapkan untuk memastikan efektivitas implementasi proyek. Metode pelaksanaan yang digunakan meliputi penyuluhan, pemahaman, Simulasi sistem dan pelatihan bagi siswa dan siswi. Hasil implementasi menunjukkan bahwa teknologi ini efektif dalam menjaga kestabilan lingkungan rumah, serta memberikan kemudahan bagi penghuni dalam mengelola kondisi udara secara otomatis dalam mendukung gaya hidup pintar
Analisis Klasifikasi Tumor Otak dengan Algoritma Berbasis Convolutional Neural Network dan Transformers
No full textThis study focuses on comparing the performance of Convolutional Neural Networks (CNN) and Vision Transformers (ViT) in classifying brain tumors using Magnetic Resonance Imaging (MRI) data. The MRI images are grouped into four categories: normal, glioma, meningioma, and pituitary, which represent healthy brain conditions and several common types of brain tumors. Before the classification process, data preprocessing was carried out to improve image quality and consistency. This included resizing images and normalizing intensity values. The dataset was then divided into training and testing sets using three different ratios: 70:30, 80:20, and 90:10, allowing the models to be evaluated under varying data conditions.The CNN and ViT models were designed to extract important features from medical images using different approaches. CNN uses convolutional and pooling layers to capture local spatial features, making it well suited for identifying texture and structural patterns in MRI images. In contrast, ViT applies a self-attention mechanism that enables the model to learn global relationships across the entire image. To make the system more user-friendly, a graphical user interface (GUI) based on Tkinter was developed. This interface allows users to select datasets, train the models, and view evaluation results such as graphs and confusion matrices interactively. Model performance was assessed using accuracy, precision, recall, and F1-score metrics. The results show that CNN consistently achieved more stable and higher performance across all data splits. At the 90:10 ratio, CNN reached an accuracy of 95%, while ViT achieved 88%. Similar trends were observed at the 80:20 and 70:30 ratio
Analisis Stok Barang Menggunakan Algoritma K-Nearest Neighbor Dan Naïve Bayes Untuk Meningkatkan Efisiensi Persediaan Barang Retail Pada PT. XXX
No full textEfficient inventory management is a strategic necessity for retail industries that operate under highly fluctuating demand conditions. PT XXX continues to experience inaccuracies in determining stock requirements because the analysis is still carried out manually using a three-month average sales calculation. This approach is unable to capture actual warehouse variations, resulting in frequent overstock and understock conditions. This study develops a machine learning–based stock classification model using the K-Nearest Neighbor (K-NN) and Naïve Bayes algorithms by utilizing key operational warehouse variables, including average sales, ending stock, and Days of Inventory (DOI). The dataset consists of 4,324 records from November 2024 to October 2025 and was processed using Orange Data Mining. Performance evaluation was conducted using accuracy, precision, recall, and confusion matrix. The results show that K-NN achieved the best performance, with 96.80% accuracy in the prediction model and 93.00% in the test & score evaluation, outperforming Naïve Bayes, which achieved approximately 90%. The study also produced a two-level classification mapping stock status (High/Low) and warehouse recommendations (Low/Enough/Excess) which revealed a significant imbalance between High and Low categories. These findings demonstrate that machine learning–based classification methods can enhance stock assessment accuracy and support more adaptive and efficient restocking decisions in retail inventory managemen
Pengaruh Likuiditas dan Laverage Terhadap Profitabilitas Pada Perusahaan Manufaktur Subsektor Farmasi di Bursa Efek Indonesia Periode 2020 - 2024
No full textIndustri farmasi memegang peran strategis dalam mendukung ketahanan sektor kesehatan nasional. Kajian ini bertujuan menganalisis pengaruh likuidity dan leverage terhadap profitability pada perusahaan manufaktur farmasi di BEI periode 2020–2024. Pendekatan yang digunakan bersifat kuantitatif dengan metode regresi linier berganda. Hasil menunjukkan bahwa likuiditas berpengaruh positif signifikan terhadap profitabilitas (koefisien = 0,531; p = 0,024), sedangkan leverage berpengaruh negatif signifikan (koefisien = –0,298; p = 0,043). Secara bersama, kedua variabel menjelaskan 31,4% variasi profitabilitas (R² = 0,314; uji F p = 0,001). Temuan ini menegaskan pentingnya pengelolaan kas dan pengendalian utang dalam meningkatkan profitabilitas perusahaan farmas