Lampu Lalu Lintas Untuk Penyeberang Jalan

Traffic lights for pedestrians are necessary to provide security and comfort for pedestrians and vehicle drivers in order to avoid accidents and traffic jams. During the design of the circuit, component selection analysis was performed for assembling the controller. The analysis showed that the industrial timer has the ease of setting intervals and ease of maintenance controller in the case of damage. The testing on the design showed that, aftercrossing demand button was pressed, the traffic lights worked well in one cycle to allow pedestrians and further provides the opportunity for passing vehicles until the crossing demand button was pressed again by a pedestrian.Lampu lalu lintas untuk penyeberang jalan, merupakan hal yang dibutuhkan untuk memberikan rasa aman dan nyaman bagi pejalan kaki maupun pengemudi kendaraan untuk menghindari terjadinya kecelakaan dan kemacetan lalu lintas. Dalam perancangan rangkaian dilakukan analisis pemilihan komponen untuk merakit kontroler. Analisis menunjukkan bahwa Timer industri memiliki kemudahan dalam melakukan pengaturanselang waktu dan kemudahan dalam perawatan kontroler jika terjadi kerusakan. Pengujian atas perancangan menunjukkan, setelah penekanan tombol permintaan menyeberang, lampulalu lintas bekerja baik sesuai satu siklus untuk memberi kesempatan penyeberang jalan, dan selanjutnya memberi kesempatan untuk kendaraan melintas sampai tombol permintaanmenyeberang ditekan oleh penyeberang selanjutnya

Rancang Bangun Sistem Kamera Pengawas dengan Pengenalan Wajah untuk Keamanan Berbasis Blynk Legacy

Covid-19 pandemic that has occurred since the beginning of 2020 has brought down all aspects of the country, starting from community activities to the economy. This has an impact on increasing the number of crimes committed by the community such as theft, robbery or other crimes. In this study, a room security system is proposed that uses a surveillance camera with a face recognition ability that records the face image of an intruder and records events as evidence of an intrusion. This system sends information quickly and automatically to the Android application user if an intruder who the camera doesn't recognize enters his house. The smartphone application user can control camera movements inside the house to monitor the movement of intruders and record the incident. This system uses 5 ESP32-CAM cameras. One camera is used to recognize and record the intruder's face image placed in front of the house and four cameras as surveillance and face recognition cameras are placed inside of the house. Each camera is driven by a servo motor controlled by a ESP8266 microcontroller. From the test results it is known that the maximum distance that the cameras still recognize the face image of an intruder or the home owner's face image is 2 meters when the light is bright. When it is dim, the camera in front of the house recognizes the face images up to 0.5 meters while the cameras inside of the house recognize the face images up to 1 meter. The average delay time for sending data from the camera system to application user is 201 ms to 617 ms.  

State of Charge Estimation of Lead Acid Battery using Neural Network for Advanced Renewable Energy Systems

The Solar Dryer Dome (SDD), an independent energy system equipped with Artificial Intelligence to support the drying process, has been developed. However, inaccurate state-of-charge (SOC) predictions in each battery cell resulted in the vulnerability of the battery to over-charging and over-discharging, which accelerated the battery performance degradation. This research aims to develop an accurate neural network model for predicting the SOC of battery-cell level. The model aims to maintain the battery cell balance under dynamic load applications. It is accompanied by a developed dashboard to monitor and provide crucial information for early maintenance of the battery in the SDD. The results show that the neural network estimates the SOC with the lowest MAE of 0.175, followed by the Random Forest and support vector machine methods with MAE of 0.223 and 0.259, respectively. A dashboard was developed to help farmers monitor batteries efficiently. This research contributes to battery-cell level SOC prediction and the dashboard for battery status monitoring. Doi: 10.28991/ESJ-2023-07-03-02 Full Text: PD

Operational Feasibility and Performance of mRPA Versus PCR for the Detection of HPV Types 16, 18, and 52 in Clinical Samples: An Exploratory Study

Monica Dwi Hartanti,1,2 Rahmi Amtha,3 Raditya Wratsangka,1 Astri Rinanti,4 Endang Djuana,5 Ilham Hizbulloh,1 Christopher Andrew Teguh,1 Alvionita Kogoya,1 Didik T Subekti,2 Muhammad Ibrahim Desem,2 Christina Safira Whinie Lestari,2 Talitha Asmaria2 1Faculty of Medicine, Universitas Trisakti, West Jakarta, Jakarta, Indonesia; 2Center for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong, West Java, Indonesia; 3Faculty of Dentistry, Universitas Trisakti, West Jakarta, Jakarta, Indonesia; 4Faculty of Landscape Architecture and Environmental Technology, Universitas Trisakti, West Jakarta, Jakarta, Indonesia; 5Faculty of Industrial Technology, Universitas Trisakti, West Jakarta, Jakarta, IndonesiaCorrespondence: Monica Dwi Hartanti, Faculty of Medicine, Universitas Trisakti, Jl. Kyai Tapa No. 260, West Jakarta, Jakarta, 11440, Indonesia, Email [email protected]: This exploratory study investigates the feasibility and performance of multiplex Recombinase Polymerase Amplification (mRPA) compared to conventional Polymerase Chain Reaction (PCR) for the detection and genotyping of high-risk Human Papillomavirus (HPV) types 16, 18, and 52. Current PCR methods are widely used for HPV detection but are limited by the need for complex thermal cycling equipment and lengthy processing times, which restrict their use in low-resource settings. This study aims to evaluate whether mRPA can serve as a faster, simpler, and more accessible alternative for HPV screening in primary healthcare environments.Methods: A total of 20 clinical samples from cervical swabs were tested using both mRPA and conventional PCR. The samples were preserved in ThinPrep® Specimen Collection fluid and stored at − 20°C. mRPA reactions were conducted under isothermal conditions at 39°C for 30 minutes, while conventional PCR followed standard cycling protocols. Sensitivity, specificity, operational efficiency, and feasibility in low-resource settings were assessed and compared between the two methods. The study complies with the Declaration of Helsinki and was approved by the Ethics Committee of Faculty of Medicine, Universitas Indonesia.Results: The mRPA demonstrated sensitivity and specificity that were lower than PCR, with detection rates of 100% for HPV 16, 80% for HPV 18, and 60% for HPV 52, compared to PCR’s 100% across all types. Overall, mRPA achieved an overall sensitivity of 80% and specificity of 100%. However, mRPA significantly reduced the amplification time to 30 minutes and eliminated the need for thermal cyclers, highlighting its potential suitability for primary healthcare settings. The practical implications of mRPA’s rapid turnaround time and simplified equipment requirements make it a promising tool for point-of-care applications in resource-limited environments.Conclusion: The findings suggest that mRPA could serve as a viable alternative to conventional PCR for HPV genotyping, offering advantages in speed and simplicity. Although mRPA’s diagnostic performance was lower than PCR, its operational benefits make it particularly suitable for use in resource-limited settings. Future research should focus on further optimization and validation to enhance mRPA’s diagnostic accuracy and explore its integration with user-friendly detection platforms.Keywords: HPV, mRPA, PCR, exploratory study, cervical cancer screening, genotypin

Rat strain-specific actions of 17β-estradiol in the mammary gland: Correlation between estrogen-induced lobuloalveolar hyperplasia and susceptibility to estrogen-induced mammary cancers

The genetically related ACI and Copenhagen (COP) rat strains display diametrically opposed susceptibilities to mammary cancer development when treated chronically with 17β-estradiol (E2). Here, we compare the actions of E2 on cell proliferation and lobuloalveolar development in the mammary glands of female ACI and COP rats. After 12 wk of E2 treatment, the mammary glands of ACI rats exhibited a significantly greater proliferative response to E2, compared with COP rats, as evidenced by quantification of S phase fraction and development of lobuloalveolar hyperplasia. Focal regions of atypical epithelial hyperplasia were observed in ACI, but not COP, rats. These strain differences were not because of differences in circulating E2, progesterone or, prolactin. Two-thirds of the induced mammary cancers in ACI rats exhibited aneuploidy. The E2-induced mammary cancers regressed when hormone treatment was discontinued, indicating that they were estrogen-dependent. Progesterone receptor was expressed by the great majority of epithelial cells within the E2-induced atypical hyperplastic foci and the mammary carcinomas, suggesting a link between these lesions. These data demonstrate a correlation between E2 action in the induction of mammary cell proliferation and atypical epithelial hyperplasia and genetically conferred susceptibility to E2-induced mammary cancers.</jats:p

Design and energy assessment of a new hybrid solar drying dome - Enabling Low-Cost, Independent and Smart Solar Dryer for Indonesia Agriculture 4.0

Abstract Solar dryer is typically used for agricultural purposes in Indonesia. There are many economically important crops requiring storage or drying under particular environmental conditions such as temperature and humidity. High temperatures inside solar dryer prevents the growth of microorganism, and quickly reduce moisture content from the substance. A hybrid solar dryer is generally considered to provide the most optimum solution, however solar panels may be expensive and they still only provide heat or energy in the daytime. Hence, we propose here a new kind of hybrid solar dryer for 24/7 optimum conditions for crops - enabled by recent advances in energy technologies as well as Industry 4.0. This study aims to create an efficient, affordable and a self-sufficient intelligent energy system that will be applied to agriculture for storage or drying purposes by measuring the energy needs for the optimal drying system. Therefore, it is crucial to estimate and assess the critical energy needs for such new systems in order to optimize and design such smart solar dryer (SSD) system especially for Indonesia’s agricultural needs. We use design experience of our industry partner (PT Impack Pratama Industri, Indonesia) who has been working extensively on such solar dryer dome (SDD) based on polycarbonate material (only solar irradiation, no other technologies) and theoretical framework based on first principles in thermodynamics to estimate and assess critical energy needs for such dome with all the smart technologies. The calculation was performed based on Mollier diagram and the result still a rough estimation of energy required.</jats:p