Sistem monitoring kesehatan seperti suhu tubuh, detak jantung, dan saturasi oksigen merupakan aspek yang sangat vital dalam mendeteksi gejala awal dari berbagai penyakit seseorang terutama dalam kondisi pasca-pandemi COVID-19. Namun, permasalahan yang muncul adalah adanya keterbatasan dalam sistem monitoring konvensional yang bersifat manual dan tidak real-time yang seringkali menghambat efisiensi dalam proses memonitoring kesehatan, khususnya di lingkungan rumah sakit, puskesmas, atau pemantauan individu di rumah. Untuk itu, tujuan penelitian ini adalah merancang dan mengembangkan sistem monitoring kesehatan yang mampu mengukur tanda-tanda vital sign secara real-time dan terintegrasi dengan web server agar data dapat diakses secara jarak jauh melalui smartphone. Penerapan metode yang digunakan dalam penelitian ini mencakup perancangan perangkat keras menggunakan sensor MLX90614 untuk suhu tubuh, sensor MAX30100 untuk denyut jantung dan saturasi oksigen, serta mikrokontroler ESP32-CAM yang memiliki konektivitas Wi-Fi dan kamera. Data yang diperoleh dari sensor dikirimkan secara otomatis ke web server berbasis protokol HTTP dan ditampilkan dalam antarmuka berbasis web yang ramah pengguna. Kebaruan dari penelitian ini terletak pada integrasi sensor vital sign dengan ESP32-CAM berbasis IoT yang tidak hanya mengirimkan data biometrik secara real-time, tetapi juga memungkinkan pengawasan visual melalui kamera bawaan, yang sangat berguna untuk verifikasi pasien dalam konteks monitoring jarak jauh. Hasil pengujian sistem menunjukkan bahwa perangkat mampu membaca dan mengirimkan data dengan tingkat akurasi rata-rata suhu tubuh sebesar 99,34 %, detak jantung sebesar 87,89 %, dan saturasi oksigen sebesar 99,13%.
 
Kata Kunci - monitoring, suhu, detak jantung, saturasi oksigen, web server.

This study examines the factors influencing individual taxpayer compliance (WPOP) at the Tabanan Tax Office (KPP Pratama Tabanan), focusing on tax socialization, tax knowledge, tax sanctions, taxpayer awareness, and tax rates. Using a quantitative approach with data from 100 respondents, the results reveal that tax socialization, tax knowledge, sanctions, and taxpayer awareness positively affect compliance, while tax rates have a positive impact, though weaker. These findings suggest that improving tax awareness and knowledge, alongside stricter enforcement of sanctions, is crucial for enhancing compliance. The study also recommends further research with broader variables and geographic coverage to deepen understanding and contribute to more effective policy reforms.

Penelitian ini bertujuan untuk merancang sistem monitoring deteksi dini kebakaran pada ruang server. Kebakaran merupakan ancaman serius yang dapat mengakibatkan kerusakan fatal pada peralatan di ruang server dan potensi kehilangan data pada storage. Untuk menunjang penelitian yang memanfaatkan otomatisasi dan hal yang bersifat real time, maka diperlukan komunikasi antara sensor-sensor dan software yang juga disebut teknologi Internet of Things (IoT). Dalam penelitian ini, sensor-sensor yang dimaksud yaitu Flame Sensor yang berguna sebagai pendeteksi radiasi dari nyala api, Sensor MQ 2 sebagai  pendeteksi asap dan Sensor DHT 11 untuk mendeteksi perubahan suhu yang  signifikan. Untuk mempermudah dalam pemantauan, juga di lengkapi dengan laman web server yang dapat diakses dengan mudah serta menggunakan beberapa output, antara lain buzzer sebagai sirine bahaya, pilot lamp untuk memberikan sinyal visual adanya suhu yang tidak normal serta outpur exhaust fan untuk membantu sirkulasi udara di dalam ruang server. Implementasi dalam rancang bangun sistem monitoring ini diharapkan dapat membantu memastikan performa server dalamkondisi yang selalu optimal dan mengurangi resiko kebakaran yang lebih fatal serta dapat mengurangi beban kerja staf pengelola di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Semarang.

Guava Komputer adalah toko yang menyediakan berbagai produk komputer dan laptop, termasuk laptop, desktop, aksesori, perangkat keras, dan perangkat lunak dari merek-merek terkemuka. Namun, dalam proses bisnisnya, toko ini menghadapi masalah dimana pelanggan sering kesulitan memilih laptop yang sesuai dengan kebutuhan mereka, akibat banyaknya tawaran yang diberikan oleh pegawai toko. Selain itu, pegawai juga merasa kesulitan saat melayani banyak pengunjung. Untuk mengatasi masalah ini, diterapkan sistem pendukung keputusan berbasis web menggunakan metode Analytical Hierarchy Process (AHP), yang dikembangkan dengan bahasa pemrograman PHP dan basis data MySQL. Metode AHP membantu dalam menentukan urutan alternatif dan memilih alternatif terbaik berdasarkan kriteria yang ditetapkan. Hasil penelitian ini menunjukkan bahwa sistem ini efektif membantu pelanggan menemukan laptop yang sesuai dengan kebutuhan mereka, dengan nilai tertinggi yang disarankan. Sistem ini diuji dengan skor validitas 4,63 (sangat baik) dan efektivitas 90% (sangat efektif), serta telah berhasil diuji oleh penguji internal dan eksternal, menunjukkan bahwa sistem ini bekerja sesuai harapan dan memberikan informasi yang valid dan efektif.

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.

Abstract Catfish is one of the important strategic commodities in Indonesia which is widely cultivated. Catfish needs continue to increase along with the increasing demand for catfish as foodstuffs such as the need for many lamongan stalls. However, efforts to increase production and development of catfish farming have several obstacles that can reduce production by 50% due to certain diseases. This situation is certainly very detrimental to the catfish in particular and the wider community in general. However, farmers have very low knowledge about the technical maintenance of catfish plants. This situation resulted in farmers being highly dependent on the control of a limited number of plant pests. To overcome this problem, a website-based application was made. To optimize computational resources on mobile devices, we need a Cased Base reasoning method that consists of frame based and rule based representation with rules or rules that are used to determine whether catfish plants contract certain diseases, which types of diseases can be detected in the process this research includes bacterial pustular disease, interchnose disease, mosaic virus disease, collapsing disease, rust disease and blight disease. then analyzed which cased base reasoning is the most optimal. This can be done with a scenario comparing some of the cased base reasoning from the level of accuracy at 87.5%.

Abstract The function in the development of information technology in human activities today is indeed developing very rapidly. Information empowerment technology has become a major facility in business activities. In information technology in the part of business contributes greatly to fundamental changes to structural, operational and organizational management. Human resources has provide a large influence in the management of information systems in an information technology organization that develops significantly, it also results in important changes in accounting and financial governance. The function of Information Technology in the development of financial bookkeeping in each part varies. Rapid of development of information systems is in line with the rate of development of financial accounting. In terms of internal control, data processing and improving the quality and quality of information, it is very influential in the development of information technology. Computer-based Accounting Information Systems in generating financial information also affect the audit process. The development of information systems that ultimately provide new opportunities as the auditor

The human need for technology and the availability of adequate infrastructure is evidence that technology is now a part of basic human needs. The increasing number of journals and scientific papers, it must be more selective in selecting and sorting even though there are already many online service providers and journal portals. Research on search engines and plagiarism and recommendation systems has been carried out with various methods deemed appropriate to improve the performance of the system itself, this paper has the purpose of calculating the similarity between one article with another article by implementing n-gram and tanimoto cosine. The number of articles tested was forty-three titles and abstracts, tested fifty times with randomly selected keywords, by breaking down each title and abstract sentence into n characters (n = 2 to 8) including spaces and punctuation, then counted similarity with the query or keyword used for system testing. The test was conducted using several threshold variations from n = 2 to 8. After observing fifty times the threshold test of 0.15 has the highest accuracy at n = 4 at 0.92, the highest precision at n = 3 at 0.42 and the highest recall at the test n = 2 = 0.44 .