ABSTRAKPemeriksaaan detak jantung dan suhu tubuh dapat sangat membantu tenaga kesehatan untuk mendiagnosis kondisi kesehatan pasien. Untuk memudahkan tenaga kesehatan, maka dirancang alat pemantau detak jantung portabel dengan sistem IoT. Desain portabel ditujukan agar alat ini mudah dibawa, dan mudah digunakan oleh pasien yang sedang rawat jalan, sedangkan fungsi IoT, tenaga kesehatan dapat memantau kondisi pasien dari jarak jauh dan secara kontinyu. Detak jantung dideteksi menggunakan sensor ECG AD8232, dan suhu tubuh dideteksi menggunakan sensor DS18B20 terkoneksi ke mikrokontroler. Pengujian menunjukkan sensor ECG AD8232 dan sensor suhu DS18B20 sensor sangat layak digunakan. Sistem IoT yang dibangun dapat membantu tenaga kesehatan dan pasien untuk mendapatkan penanganan segera jika terjadi keaadan abnormal.Kata Kunci: pemantau detak jantung, pemantau suhu tubuh, sistem IoT kesehatan
This paper presents the development of vision-based robotic arm manipulator control by applying Proportional Derivative-Pseudoinverse Jacobian (PD-PIJ) kinematics and Denavit Hartenberg forward kinematics. The task of sorting objects based on color is carried out to observe error propagation in the implementation of manipulator on real system. The objects image captured by the digital camera were processed based on HSV-color model and the centroid coordinate of each object detected were calculated. These coordinates are end effector position target to pick each object and were placed to the right position based on its color. Based on the end effector position target, PD-PIJ inverse kinematics method was used to determine the right angle of each joint of manipulator links. The angles found by PD-PIJ is the input of DH forward kinematics. The process was repeated until the square end effector reached the target. The experiment of model and implementation to actual manipulator were analyzed using Probability Density Function (PDF) and Weibull Probability Distribution. The result shows that the manipulator navigation system had a good performance. The real implementation of color sorting task on manipulator shows the probability of success rate cm is 94.46% for euclidian distance error less than 1.2 cm.
In the era of the Industrial Revolution 4.0. this is where technology and technology have been very advanced demanding competent human resources who have high morale and discipline in carrying out their roles and functions for both the individual and the objectives of the organization. In the role and contribution of STTAL in the Industrial Revolution 4.0, the current conditions, where the quality of human resources both students, lecturers, and Antap STTAL are considered unable to answer the challenges in the cyber field so that strategic decision-making and steps are needed to be able to accompany the development of science and technology while carrying out missions STTAL is to hold a higher education program to produce human resources with Indonesian character and personality, quality and relevant science and technology based, with defense needs in the military, maritime and maritime fields. With SWOT analysis, a matrix will be obtained which shows the strengths and weaknesses as well as opportunities and threats which will later be used as a reference to make the right and appropriate strategies. Keywords: SWOT Analysis, STTAL HR Quality, Industrial Revolution 4.0
Soil water content (SWC) profile refers to the vertical distribution of volumetric SWC at a certain depth of soil concerning the plant water availability. The current study aimed to evaluate the vertically spatial distributions and temporal variations in SWC profiles under young and mature oil palm trees during the end period of the rainy season. Twenty couples of sensors were inserted into 5 cm soil depth intervals up to 100 cm. Each sensor pair was connected to the dielectric instrument to measure the electrical impedance (Z, in kΩ) at each soil layer. The measured Z was then converted to the gravimetric SWC (θg, in g.g-1) using an equation of θg = 0.62.Z-0.2 found in our previous study. The gravimetric SWC data were then multiplied by soil bulk density for corresponding layers to get volumetric SWC (θv, in cm3.cm-3). Results showed that soil water profiles' depths were 40 to 70 mm higher under mature than under young oil palm plantations during six weeks of measurements. The vertical distribution of soil bulk density could be why the spatiotemporal variability in water content profile. Looser layers throughout the young oil palm soil profile might cause a higher proportion of drainage pores and result in less water content compared to the denser layers under the mature oil palm.
Penelitian ini didasari oleh banyaknya kehancuran struktur bangunan yang terjadi akibat gempa bumi, sehingga dibutuhkan suatu sistem peredam yang efektif sebagai solusi untuk struktur bangunan. Penelitian ini menganalisis pengaruh penambahan Tuned Mass Damper (TMD) pada struktur bangunan berlantai satu. Penelitian ini dilakukan pengujian secara eksperimental dengan cara membandingkan respons getaran struktur tanpa TMD dan dengan penambahan TMD. Nilai rasio massa dan kekakuan yang gunakan masing-masing adalah dari 2% sampai 20% dari nilai parameter struktur utama dengan variasi kenaikan 2% untuk setiap langkah. Rasio massa didefinisikan sebagai perbandingan massa struktur dengan massa damper, sedangkan rasio kekakuan adalah perbandingan antara kekakuan struktur dan kekakuan damper. Frekuensi gaya gangguan adalah sebesar 10,5 rad/s, 11 rad/s, dan 11,5 rad/s. Hasil penelitian ini menunjukkan bahwa penambahan TMD pada struktur dengan rasio TMD yang tepat cukup efektif dalam mengurangi respons amplitudo pada struktur. Nilai rasio TMD dengan md 12% dan kd 10% untuk frekuensi gaya gangguan 11,5 rad/s memperlihatkan hasil reduksi amplitudo struktur sebesar 75,19% dibandingkan dengan amplitudo struktur tanpa TMD.
Angka kematian Ibu hamil (AKI) karena preeklampsia masih cukup tinggi di Indonesia umumnya dan provinsi Bengkulu khususnya. Belum ada metoda yang efektif untuk mencegah terjadinya preeklampsia, tetapi deteksi dini dapat menolong untuk penanganan dan pengobatan yang cepat dan tepat. Monitoring kondisi kehamilan sangat penting, tetapi pandemi COVID-19 menyebabkan ibu hamil tidak dianjurkan untuk ke fasilitas kesehatan. Oleh karena itu dirancang sistem monitoring kondisi kehamilan untuk deteksi dini preeklampsia menggunakan metoda Certainty Factor berbasis Android. Sistem ini terdiri dari alat ukur tekanan darah dan sistem pakar. Alat ukur tensimeter menggunakan sensor tekanan MPX5500, filter high pass butteworth dan mikrokontroller Arduino terhubung ke smartphone android melalui Bluetooth. Sistem pakar akan mendiagnosa ibu hamil beresiko preklampsia atau hipertensi dalam kehamilan tanpa resiko preklamsia. Alat ukur tekanan darah yang dirancang untuk mendukung sistem, bekerja dengan rata-rata selisih terhadap pengukuran tensimeter aneroid sebesar 7,05 mmHg dengan galat 6,24 % pada tekanan sistolik dan 10,15 mmHg dengan galat 13,13 % pada tekanan diastolik. Hasil diagnosa sistem pakar memiliki akurasi sebesar 91,45 %. Sehingga dapat dikatakan bahwa sistem yang dirancang telah dapat digunakan.
Most of the water loss from the soil profile occurred through the evapotranspiration process especially when
Artificial intelligence technology has dramatically improved the quality of services for human needs, one of which is technology to improve the quality of services for the blind and visually impaired, particularly technology that can help them understand visual sights to facilitate navigation in their daily lives. This study developed an image captioning model to aid the blind and visually impaired in outdoor navigation. The image captioning model employs the encoder-decoder method, with the convolutional neural network (CNN) feature extraction and attention layer as encoders and the long short-term memory (LSTM) as decoders. ResNet101 and ResNet152 are used in the encoder to extract image features. The results of the extraction and caption are forwarded to the attention layer and the LSTM network. The attention layer uses the Bahdanau attention mechanism. The accuracy of the model is calculated using the bilingual evaluation understudy score (BLEU), metric for evaluation of translation with explicit ordering (METEOR) and recall-oriented understudy for gisting evaluation-longest common subsequence (ROUGE-L). ResNet101 performed the best on BLEU-4, scoring 91.811% and 94.0337% in the METEOR evaluation. The captioning results show that the model is quite successful in displaying a simple caption that is suitable for each image.
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