E-Journal UNUJA (Universitas Nurul Jadid)
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The Analysis of Sarcasm in Comedy Film Entitled “The Dictator”
Full text linkThis research aims to analyze sarcasm in a comedy film entitled The Dictator. The subject of this research is dialogue containing sarcasm in the movie. The research focuses on the analysis of sarcasm in a comedy film entitled The Dictator and classifying them into types of sarcasm by explaining the meaning of each word in the dialogue. This study deals with the use of sarcastic comedy analysis by theory: camp (2011). The objective is to find out the types and meanings of sarcastic comedy shown in a film entitled The Dictator. Qualitative method is used in this research, with case study as the design of this research, because the research intended to analyze sarcasm in a comedy film entitled The Dictator. In analyzing of film entitled The Dictator, there are two data sources for analysis namely: the film video and The Dictator movie script. The result of data analysis showed that there were 66 sarcastic expressions spoken by the characters entitled The Dictator film. In this research, those data are analyzed and classified into different types of sarcasm. There are propositional, illocutionary, “ike-prefixed, and lexical sarcasm. This film is mostly about how to satire the style of Muammar Khadafi the Dictator of Libya. They also satirized the American government and the country of Israel about their nuclear arsenals, and the government of America considered to be hypocritical because the American government admitted defending human rights but they are also supporting dictatorial leadership in Middle East
Sentiment Analysis of Netflix Reviews on Goggle Play with Machine Learning
Get PDFPenelitian ini bertujuan mengklasifikasikan sentimen pengguna terhadap aplikasi Netflix di Google Play Store, mengatasi tantangan volume ulasan dan keragaman bahasa. Analisis sentimen otomatis diperlukan untuk mengekstraksi informasi emosional dari teks ulasan. Sebanyak 20.000 ulasan dikumpulkan menggunakan web scraping. Data kemudian melalui tahap praproses seperti case folding, cleaning, tokenizing, dan stopword removal. Klasifikasi sentimen berbasis leksikon dilakukan dengan menerjemahkan teks Indonesia ke Inggris menggunakan Google Translate, lalu dianalisis VADER Sentiment Intensity Analyzer. Pembobotan kata diterapkan menggunakan TF-IDF untuk menentukan signifikansi kata dalam dokumen. Perbandingan hasil klasifikasi sentimen dilakukan menggunakan algoritma Support Vector Machine (SVM) dan Naive Bayes. Hasil menunjukkan SVM mencapai akurasi 82%, presisi 83%, recall 89%, dan skor F1 86%. Naive Bayes menghasilkan akurasi 76%, presisi 74%, recall 94%, dan skor F1 83%. Secara keseluruhan, SVM terbukti lebih unggul dalam memberikan klasifikasi sentimen yang seimbang dan akurat dalam studi in
Analisa dan Perancangan sistem Informasi Sewa Ruko dan Lapak BUMDes Cahaya Abadi Desa Bantaran Berbasis Website
Get PDFBUMDes Cahaya Abadi Desa Bantaran merupakan badan usaha milik desa yang mengelola penyewaan ruko dan lapak untuk mendukung pemberdayaan ekonomi masyarakat. Pengelolaan yang masih dilakukan secara manual menimbulkan berbagai kendala seperti keterlambatan pelaporan, risiko kehilangan data, dan rendahnya transparansi. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi berbasis website guna meningkatkan efisiensi dan akuntabilitas pengelolaan sewa. Metode pengembangan sistem menggunakan pendekatan SDLC model Waterfall dengan tahapan analisis, perancangan, implementasi, pengujian, dan dokumentasi. Sistem dikembangkan menggunakan PHP dengan framework CodeIgniter dan DBMS MySQL. Pengujian dilakukan menggunakan metode Blackbox Testing dan System Usability Scale (SUS). Hasil pengujian menunjukkan skor SUS sebesar 83 yang termasuk kategori excellent. Sistem ini mampu mengelola data penyewa, transaksi, ketersediaan properti, dan laporan keuangan, serta layak diterapkan dalam digitalisasi pengelolaan aset BUMDes
Optimasi Artificial Neural Network Menggunakan Algoritma Genetika untuk Prediksi Harga Kedelai
Get PDFKebutuhan atas kedelai di Indonesia selalu meningkat setiap tahunnya seiring bertambahnya penduduk dan meningkatkan pendapatan per kapita. pemenuhan akan kedelai yang merupakan kebutuhan bahan baku utama tahu dan tempe, 67,28% atau sebanyak 1,96 juta ton harus diimpor dari luar. Hal ini terjadi karena produksi kedelai tidak mampu mencukupi permintaan produsen tahu dan tempe dalam negeri. Maka dari itu, perlunya tambahan suplai kedelai yang harus diimpor, oleh karena itu Pertumbuhan harga kedelai nasional, baik harga konsumen dan produsen cenderung terus meningkat. Sehingga dari data harga kedelai yang ada penting kiranya dilakukan sebuah prediksi dengan metode yang sesuai untuk dapat mengetahui harga kedelai selanjutnya. Metode yang digunakan pada penelitian ini adalah Artificial neural network dengan Algoritma genetika. Dimana Algoritma genetuka digunakan sebagai optimasi untuk meningkatkan kinerja ANN untuk memperoleh RMSE lebih baik. Dimana hasil RMSE dengan metode ANN ialah 1.446, sedang kan dengan metode ANN optimasi GA memperoleh RMSE 1.277. disini membktikan bahwa ANN dengan optimasi GA menghasilkan nilai RMSE lebih baik
Utilization of a Pressure Sensor as a Pressure Regulator in an Autoclave Machine for Medical Equipment Sterilization and IoT-Based Monitoring
Full text linkAn autoclave is a sterilization device that operates using high-pressure steam to eliminate microorganisms. However, in conventional systems, pressure regulation is still performed manually, which can lead to inconsistencies in the sterilization process and reduced effectiveness. This study developed an automatic pressure control system based on a digital pressure sensor, controlled by an Arduino Uno microcontroller and equipped with an ESP8266 module for real-time monitoring via the Internet of Things (IoT). The system also utilizes a MAX6675 temperature sensor, a solenoid valve as a pressure actuator, and an LCD as a local interface. Testing was conducted at three pressure settings (10, 15, and 25 psi) for a duration of 15 minutes. The results showed that the system was able to maintain pressure with a fluctuation tolerance of ±0.3 psi and successfully transmitted temperature and pressure data to a cloud dashboard in real-time. This system is considered effective in improving the efficiency, accuracy, and safety of the sterilization process, and has the potential to be implemented in medical and laboratory facilities
Implementation of Blockchain for Integrated Civil Service Statistical Data (Case Study: Civil Service and Human Resource Development Agency of Madiun Regency, East Java Province)
Full text linkDigital transformation in personnel data management demands a transparent, secure, and integrated system to support data-driven decision-making and enhance accountability in personnel services. An integrated information system and personnel statistical data are necessary to assist leaders in analyzing staffing needs and making more accurate and efficient data-based policies, while also strengthening the principles of good governance through improved transparency and accountability. Therefore, the Personnel and Human Resource Development Agency of the Government of Madiun Regency, East Java, requires technology capable of effectively managing personnel information by offering security, transparency, and data integrity through a decentralized mechanism. Blockchain, as a distributed ledger technology, provides an innovative solution for maintaining data integrity and increasing public trust through permanent, encrypted, and validated transaction records within a decentralized network. The implementation of blockchain in the management of personnel statistical data remains limited, despite the technology’s ability to support real-time audit trails and reliable interactive data visualization. This study proposes a framework for integrating a relational database with smart contracts on the Ethereum network, by recording the hash of statistical data in the smart contract as proof of data authenticity. Data is retrieved from the database, hashed, and the hash is stored in the smart contract to ensure its integrity, with the results visualized in interactive charts. This framework is expected to improve transparency, accountability, and trust in personnel statistical data to support more accurate and efficient strategic decision-making
Application of The Physics Aviary Virtual Laboratory to Support Student Motivation and Self-Regulated Learning
Full text linkLimited access to adequate physics laboratory facilities remains a major challenge in Indonesian schools, including SMAN 1 Mamasa, where conventional physics learning often lacks hands-on experiments. To address this issue, this study was conducted as part of a Community Service (PkM) activity, providing training and mentoring on the use of The Physics Aviary (TPA) virtual laboratory for eleventh-grade students. The activity employed Community-Based Research (CBR) and Service Learning approaches, enabling students to actively participate in meaningful learning experiences while contributing to the community. A total of 34 students (20 females, 14 males) participated in the program, which was conducted from July to August 2025. Data on learning motivation and self-regulated learning (SRL) were collected using validated questionnaires and analyzed descriptively. The results indicate that the virtual laboratory effectively fostered students’ intrinsic motivation, with the highest scores observed in intrinsic goal orientation (mean = 4.12, SD = 0.95) and task value (mean = 4.06, SD = 0.89). Additionally, SRL skills were reflected in high scores for time and study environment management (mean = 4.06, SD = 0.81) and peer learning (mean = 3.91, SD = 0.99). Student satisfaction with the training was also high, demonstrating successful implementation. This PkM activity not only introduced TPA in the local school context but also provided initial empirical evidence that virtual labs can serve as effective alternatives for fostering motivation and self-regulation in secondary physics education. However, the findings highlight the need to strengthen metacognitive and collaborative learning aspects
Branding Brondong Ketan: From Traditional Snack to Competitive MSME Product
Full text linkMicro, Small, and Medium Enterprises (MSMEs) play an important role in supporting rural economies, yet many traditional products remain underdeveloped due to weak branding and limited digital marketing. This community engagement program aimed to transform Brondong Ketan in Ngumpak Hamlet through branding and packaging innovation based on the Asset-Based Community Development (ABCD) approach. The primary problems faced by partners were low monthly turnover (Rp 300,000–500,000), unattractive packaging, and reliance on local distribution channels. The program was implemented collaboratively in five stages—discovery, dream, design, define, and destiny—through activities such as branding workshops, co-creation of new batik-accented packaging, and digital promotion using WhatsApp Business. The results demonstrated a significant improvement: average monthly revenue increased up to ±Rp 1,250,000 (around 300% growth), with about 25% of customers from outside the village and 20% of sales made through WhatsApp. Furthermore, an informal working group was established, and a local champion actively facilitated collective marketing, coordinated production, and promoted digital advocacy among producers. These outcomes indicate that asset-based empowerment fosters sustainable innovation, strengthens cultural identity, and enhances MSME competitiveness in broader markets
Klasifikasi Penyakit Daun Sawi Menggunakan VGG19 Berbasis Citra Digital
Full text linkAgricultural productivity is greatly influenced by plant health, including mustard greens (Brassica rapa), which are prone to leaf diseases and have high economic value. This study aims to develop a digital image-based classification system for mustard leaf diseases using a deep learning approach, particularly the Convolutional Neural Network (CNN) VGG19 architecture, and to compare its performance with ResNet50 and VGG16 models. The dataset used consists of 999 images divided into two classes: healthy mustard leaves and diseased mustard leaves. The images were processed through preprocessing steps (resized to 224×224 and normalized), then split into training, validation, and testing sets (80:10:10). The VGG19 architecture was customized with additional layers such as Global Average Pooling and Dense layers, and trained for 50 epochs with a configuration of 32 filters, a dropout rate of 0.5, and a learning rate of 0.0003. The results showed that the VGG19 model achieved the highest validation accuracy of 96%, followed by VGG16 with 95%, and ResNet50 with 74%. Evaluation using a confusion matrix demonstrated that VGG19 exhibited the most stable and accurate classification performance in recognizing both classes. These findings reinforce the potential of VGG19 for developing automated and real-time plant disease detection systems. Furthermore, this study opens up opportunities for integration into agricultural Internet of Things (IoT) systems for continuous plant health monitoring, thereby assisting farmers in making faster and more accurate preventive decisions
Analisis Faktor Determinan Kejadian Suspek Tinea Kruris pada Santri Laki-laki
Full text linkTinea cruris is a fungal skin infection that often occurs in tropical regions, including Indonesia, with a relatively high prevalence in dormitory environments such as Islamic boarding schools. This study aims to determine the determinants influencing the incidence of suspected tinea cruris in male students. This study used a quantitative method with a cross-sectional design, involving 224 male students at the Nurul Huda Tanah Merah Islamic Boarding School using a total sampling technique. Data were analyzed using univariate, bivariate, and multivariate analyses. The results of the regression analysis showed that personal hygiene and BMI were significantly associated with the incidence of tinea cruris. Personal hygiene was associated with a decrease in the incidence of tinea cruris, while BMI had a smaller effect. The regression model obtained proved significant, which means these factors have an important role in predicting the incidence of suspected tinea cruris. It can be concluded that poor personal hygiene and high BMI are the main factors contributing to the incidence of suspected tinea cruris in the Islamic boarding school environment. Therefore, the importance of hygiene interventions among student