Penelitian ini bertujuan untuk menganalisis kinerja sensor NPK, pH, suhu, dan kelembapan tanah berbasis IoT Arduino pada berbagai kondisi tanah. Sensor-sensor diuji tiga yang berbeda: basah, lembab, sangat kering. Hasil pengujian menunjukkan bahwa basah mampu melakukan pembacaan parameter secara akurat mengirimkan data ke smartphone real-time. Data diperoleh mencakup kadar Nitrogen (N), Fosfor (P), Kalium (K), Namun, kering, mengalami kesulitan tertancap dengan kuat, sehingga tidak dapat...

Efisiensi kerja merupakan prioritas utama dalam masyarakat perkotaan, terutama di Indonesia, yang menghadapi tantangan penyusutan lahan pertanian akibat urbanisasi. Teknologi Internet of Things (IoT) menawarkan solusi untuk meningkatkan produktivitas dan efisiensi budidaya akuaponik, sebuah metode menggabungkan ikan tanaman ekosistem bersirkulasi. Penelitian ini mengembangkan sistem smart akuaponik berbasis IoT memungkinkan pemantauan kontrol real-time terhadap parameter penting seperti suhu...

Penelitian ini bertujuan untuk mengoptimalkan penggunaan energi pada sistem lift berdasarkan gerak vertikal menggunakan algoritma Hybrid Naive Bayes. Proses optimalisasi didasarkan pengumpulan data dilakukan di Gedung B11 Fakultas Teknik Universitas Negeri Malang selama periode waktu tertentu, dalam upaya mengurangi konsumsi gedung bertingkat, efisiensi menjadi salah satu fokus utama. Dengan memanfaatkan yang meliputi pola pergerakan vertikal, operasional, serta beban muatan, penelitian...

Rapid technological developments have been applied in various sectors of life, one which is the agricultural sector. By applying technology sector, it can reduce energy and time wasted due to application conventional methods. One innovations that are currently trending Internet Things (IoT). (IoT) a allows physical objects be connected internet realtime. This research applies garden irrigation system, by remotely controlling water pump monitoring soil moisture garden. Using owners measure...

Epileptic seizures, unpredictable in nature and potentially dangerous during activities like driving, pose significant risks to individual public safety. Traditional diagnostic methods, which involve labour-intensive manual feature extraction from Electroencephalography (EEG) data, are being supplanted by automated deep learning frameworks. This paper introduces an epileptic seizure detection framework utilizing bypass extraction. Our incorporates detailed pre-processing techniques:...

Subjects with amyotrophic lateral sclerosis (ALS) consistently experience decreasing quality of life because this distinctive disease. Thus, a practical brain-computer interface (BCI) application can effectively help subjects ALS to participate in communication or entertainment. In study, fuzzy tracking and control algorithm is proposed for developing BCI remote system. To represent the characteristics measured electroencephalography (EEG) signals after visual stimulation, fast Fourier...

In order to promote the quality of life for subjects with motor neuron disease, an interesting maze game operated by steady state visual evoked potential (SSVEP) based brain-computer Interface (BCI) was developed. The SSVEP BCI provides 4 options including: "counterclockwise", "clockwise" "forward" and "backward". A liquid crystal display (LCD) monitor is used as stimulation device showing option icons flickering at different frequencies respectively induce subject's brain waves. Then...

Opinion Analysis is a research study needed to social media, since the content could become trending topic and has significant impact on life. One of media that have big contribution cyberspace information development Twitter. In Twitter application, users can insert images represent emotions, facial expressions, or icons. Emoji graphic symbol in form an image express thing, with Emoji, text be read understood according its meaning because represents it. Of several things been mentioned...

Support Vector Machine (SVM) is a method with basic classification principles for data that can be separated linearly. As it developed, SVM designed to work on non-linear problems by incorporating kernel concepts in high-dimensional space. The implemented this study classifying international journals using the SCImago Journal Rank (SJR) dataset. To overcome disadvantages of performance, researchers used Particle Swarm Optimization (PSO) optimize its performance. purpose PSO get better...

Mental health problems are increasingly crucial in the workplace. These issues affect employee productivity and accordingly it affects company's prolificacy. To minimize mental among employees, companies must identify factors related to employee's health. Therefore, a classification method find out whether an requires treatment or not is highly much-needed. This paper seeks develop application of features selection using chi-square performance K-Nearest Neighbor (KNN) algorithm conducting...

Learning concentration is an interesting topic to study. The while a person study such as when he/she reading can be measured using electroencephalograph. Alpha wave higher in the relaxation state Beta attention state. In this study, application for practice has been developed. used control page transition of text reader and also recording electroencephalograph (EEG) user at same time. subject asked read 3 paragraph answer 4 question multiple choice test each paragraph. While text, his/her...

The development of the control system, such as monitoring and system using voice command, in electronic device recently increased. One biggest most comprehensive interface platforms was Google Assistant. There a great opportunity developing Assistant application due to its high support, minimum size, minimal Google-based applications. Dialog flow API (Application Programming Interface), an that functioned process humans' conversation based on artificial intelligent, fully support this...

One of the problem with data loggers (data recording tools) from solar panels is that their use limited to capacity internal battery as a power supply. So higher battery, longer logger can operate and vice versa. It necessary have feature set active inactive time in process improve efficiency usage. In this paper, an alternative solution presented, namely through setting by using IoT (Internet Things) based on current time, sunrise sunset API (Application Programming Interface). The test...

Stemming is the process of finding a basic word with several stages affix removal. The main reason for stemming to check spelling and machine translation support effectiveness retrieval process. This study uses Nazief Adriani algorithm Javanese-influenced words. first step taken data collection making dictionary. Then do Before stemming, modifications are made rules. rules algorithm, which based on morphology Indonesian language, modified suit morphological Javanese language. Of 366 words...

Stopword removal necessary in Information Retrieval. It can remove frequently appeared and general words to reduce memory storage. The algorithm eliminates each word that is precisely the same as stopword list. However, generating list could be time-consuming. a specific language domain must collected validated by specialists. This research aims develop new way generate stop using K-means Clustering method. proposed approach groups based on their frequency. confusion matrix calculates...

Classification of economic journal articles has been done using the VSM (Vector Space Model) approach and Cosine Similarity method. The results previous studies are considered to be less optimal because Stopword Removal was carried out by a dictionary basic words (tuning). Therefore, omitted limited only words. This study shows improved performance accuracy method frequency-based Removal. reason is term with certain frequency assumed an insignificant word will give relevant results....

Abstract The vibration of the motor provides information for failure diagnostic and prediction through signal processing. In this paper, we present an IoT-based monitoring system recording induction motor. A 27mm piezoelectric is used to collect data from Each self-powered IoT node supplied by its self utilizing two piezoelectrics in series. We conducted experiment with 3 scenarios, which aims different positions, they are bottom, top at coupling. For each scenario, speed changed low, middle...

Hotel booking service providers in the form of websites or online-based applications have provided features where consumers can provide a review regarding their assessment hotel. But number reviews available makes users unable to filter out all reviews. Sentiment analysis be used as solution overcome this by classifying into positive negative sentiments. This study aims determine application n-gram and naive bayes methods sentiment classification. The research phase includes: (1) hotel data...

Fluctuations in food commodities price East Java Province cause various negative impacts when there are significant changes. To avoid this problem, it is necessary to predict prices prevent high increases. This study aims apply the Extreme Learning Machine (ELM) method of staple and measure performance ELM predicting price. The a develop from feedforward Artificial Neural Networks (ANN) with one hidden layer or commonly called Single Hidden Layer Feedforward (SLFNs). prediction process...

Indonesia has a relatively large population, making health an important necessity. Census data been widely available in accordance with problems health. With the data, researchers have great opportunity to conduct research. Research on predictions is nothing new. By predictions, it can help decisions quickly and accurately that be determined by sector or other fields. Prediction methods developed, one of which artificial neural network (ANN). In ANN method, there Backpropagation Neural...

Jumlah kunjungan rerata pengunjung unik per hari pada jurnal elektronik menunjukkan bahwa hasil terbitan karya ilmiah website tersebut menarik. Sehingga jumlah dijadikan indikator penting dalam mengukur keberhasilan sebuah untuk memenuhi perluasan, penyebaran dan percepatan sistem akreditasi jurnal. Pengunjung Unik merupakan Internet Address (IP) yang mengakses kurun waktu tertentu. Terdapat beberapa metode biasa digunakan peramalan, diantaranya adalah Multilayer Perceptron (MLP). Â...