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Enhancing Agricultural Efficiency and Sustainability Through Smart Direct Couple Motor Operated Valve: A Technological Innovation for Automated Irrigation and Fertilization

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SSRN 2024年

作者： Nugraha, Muhamad Hanhan Hanhan Rabbika, Anes Inda Rusdja, Andy Permana Bustomi, Ahmad Mechanical Engineering Study Program Mechanical Engineering Department State Polytechnic of Jakarta Depok16425 Indonesia Manufacturing Engineering Technology Study Program Mechanical Engineering Department State Polytechnic of Jakarta Depok16425 Indonesia Mechanical Engineering Study Program Faculty of Engineering Mayasari Bakti University Tasikmalaya46196 Indonesia

This research introduces the Smart Direct Couple Motor Operated Valve (SDCMOV), designed to enhance agricultural efficiency and sustainability. SDCMOV automates the distribution of water and fertilizers in vegetable farming, reducing labor intensity and inefficiencies. The system addresses key issues such as minimizing musculoskeletal disorders (MSDs) among farmers and ensuring consistent nutrient delivery for optimal plant growth. Energy-efficient, environmentally friendly, and remotely controllable via mobile devices, SDCMOV significantly improves irrigation and fertilization processes. Experimental results suggest that SDCMOV is a viable solution for sustainable and modern agricultural practices, particularly in developing countries. © 2024, The Authors. All rights reserved.

关键词： Irrigation

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Comparison Analysis of Intrusion Detection using Deep Learning in IoT Networks 11

Comparison Analysis of Intrusion Detection using Deep Learni...

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11th International Conference on Information and Communication Technology, ICoICT 2023

作者： Ikhwan, Syariful Purwanto, Purwanto Rochim, Adian Fatchur Diponegoro University Doctoral Program of Information System School of Postgraduate Studies Semarang Indonesia Institut Teknologi Telkom Purwokerto D3 Telecommunication Engineering Banyumas Indonesia Diponegoro University Faculty of Engineering Department of Chemical Engineering Semarang Indonesia Diponegoro University Faculty of Engineering Department of Computer Engineering Semarang Indonesia

ISBN: (纸本)9798350321982

This study focuses on network security for Internet of Things (IoT) devices, which are particularly vulnerable to attack due to limited security measures. To protect IoT networks from attackers, the research implemented intrusion detection on the networks. The study compared several Deep Learning algorithms, including DNN, CNN, LSTM, and AE, to identify the most effective algorithm for solving network security problems using intrusion detection. The research used the UNSW-NB15 dataset for testing and employed binary classification for evaluation. The results showed that the DNN algorithm achieved an accuracy value of 99.76% and a loss value of 0.006%, outperforming the other algorithms. This study highlights the importance of implementing intrusion detection in protecting IoT devices and networks and demonstrates the efficacy of the DNN algorithm in detecting and preventing network security breaches. © 2023 IEEE.

关键词： Internet of things

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Urban geotourism development in the perspective of stakeholders

International Journal of Geoheritage and Parks

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International Journal of Geoheritage and Parks 2025年第1期13卷 102-116页

作者： Hadian, Mohamad Sapari Dwi Barkah, Mochmad Nursiyam Khadidjah, Ute Lies Siti Yuliawati, Ayu Krishna Aryanti, Asti Nur Suhardiman, Sani Geological Engineering Padjadjaran University Bandung 45363 Indonesia Communication Faculty Padjadjaran University Bandung 45363 Indonesia Economics and Business Education Faculty Indonesia University of Education Bandung 40154 Indonesia Management Study Program Universitas Indonesia Membangun Bandung 40266 Indonesia English Language Education Yogyakarta State University Sleman 55281 Indonesia Engineering Faculty Universitas Buana Perjuangan Karawang 41361 Indonesia

Geotourism is rapidly experiencing rapid growth in developing countries, such as Indonesia, and it is a component of sustainable tourism. In addition, the country has many areas of geodiversity in cities or towns that potentially can become urban geotourism destinations, such as the Bandung Basin area. This region is characterized by geological features, including young volcanic rocks surrounding the mountains, alluvial fans, and lake deposits at lower elevations extending from Rancaekek to the base of Mount Lagadar in the western part of the area. Therefore, this research aims to analyze the respective roles of stakeholders in urban geotourism development. The study used literature review and interview methodology, where data was interpreted with stakeholder analysis, and complemented by descriptive analysis. The results showed that stakeholders were divided into primary (quadrant 1), key (quadrant 2), and secondary (quadrant 3) categories, each with distinct interests and degree of influence. As urban tourism expands, it presents ongoing opportunities to cultivate sustainable practices within these locales. The establishment of urban geotourism necessitates the identification and evaluation of engaged stakeholders. The subsequent planning and management initiatives for the Bandung Basin area can be enhanced through the active participation of stakeholders. © 2025 Elsevier B.V.

关键词： Indonesia stakeholder analysis urban geotourism volcanoes

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Design Implementation of Flood Early Warning System for Residential Monitoring

Design Implementation of Flood Early Warning System for Resi...

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International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

作者： Joni Welman Simatupang Thariq Auliya Arrazaq Electrical Engineering Study Program Faculty of Engineering President University Cikarang Indonesia

The efforts to mitigate floods are necessary. One of the tools that can contribute to flood mitigation is the Flood Early Warning System (FEWS). The main goal of this study is to design a prototype of FEWS that can be easily used anywhere, anytime, and provide accurate water level readings. The prototype system is designed using an Ultrasonic Sensor for water level detection, an alarm system, and Blynk as a web and mobile dashboard. The prototype consists of four main components: Ultrasonic Sensor HC-SR04, Arduino Nano, NodeMCU, and HC-12. It comprises two units: a transmitter unit and a receiver unit. To determine the accuracy and consistency of the Ultrasonic Sensor, the author conducted testing using calibration, non-continuous, and continuous methods. The accuracy obtained was 99.71%. Additionally, the author observed high consistency in the readings of the ultrasonic sensor, as evident from continuous sensor reading test results. Furthermore, the receiver unit successfully displayed output according to the water level threshold for each condition. Additionally, the Blynk web and mobile dashboard were able to display output as per the design. However, we suggest adding data logging features and also solar panels as a renewable power source to support the improved prototype system.

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Augmented Reality Application for Book Detection with Google Colaboratory and SnapML Lens Studio 8

Augmented Reality Application for Book Detection with Google...

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8th IEEE International Conference on Computing, engineering and Design, ICCED 2022

作者： Saputri, Galuh Suwamo, Joko Fuadi, Achmad Lutfi Heri Yunial, Agus Universitas Pamulang Program Study Informatics Engineering Faculty of Engineering Jl.Raya uspitek serpong No. 10 Tangerang Selatan Indonesia

ISBN: (纸本)9781665453899

Artificial intelligence is one of the technological breakthroughs in science, especially in the field of computers. Object detection and recognition presents a new challenge on how to make machines detect objects automatically. To detect an object, the previous system will take the classifier of an object and evaluate it at various locations and various scales in the image. Smartphones currently play an important role in everyday life, but the existence of smartphones can be one of the causes of the user's lack of interest in reading books. With this Augmented Reality-based object detector, it is hoped that users can experiment on smartphones with the Snapchat application installed to detect objects in books that are around them and the number of objects will be counted automatically, it is also expected to attract users' desire to read books. Image recognition identification is taken through the phone's camera which is recognized as a lens. Lens AR in the Lens Studio application is supported by the SnapML machine learning algorithm, this machine learning function is to display book information and the number of books detected. This research was conducted using Cloud Computing such as Google Collaboratory which uses the python programming language, the book object dataset is selected from the COCO class, the model is exported to Open Neural Network Exchange (.ONNX) and then imported into the Lens Studio application. Publish lenses in the Snapchat app. Finally, a model test was carried out to detect objects and the number of objects in books that had been made using a Smartphone. Open the Snapchat application, scan the Snapcode generated by Lens Studio, AR lenses can be used in real time. AR Book Detection has been tested by other users on Snapchat with 18,845 Lens Views, 18,737 Lens Plays and 16 Lens Shares. © 2022 IEEE.

关键词： Augmented reality

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Investigation of Microplastics in Raw and Processed Water for Unbranded Refilled Drinking Water in Karawang, Indonesia

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SSRN 2025年

作者： Sari, Gina Lova Utami, Marsah Rahmawati Kasasiah, Ahsanal Rohmana, Andini Siti Amethysia, Nur Ridha Cahyaningrum, Putri Sekti Nainggolan, Adinda Melianda Kurniawan, Setyo Budi Study Program of Environmental Engineering Faculty of Engineering Universitas Singaperbangsa Karawang H.S Ronggowaluyo Karawang41361 Indonesia Study Program of Pharmacy Faculty of Health Science Universitas Singaperbangsa Karawang H.S Ronggowaluyo Karawang41361 Indonesia Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor UKM Bangi 43600 Malaysia

It is undeniable that microplastics are found in many types of water, including drinking water. This study aims to investigate the presence of microplastics in one of the drinking waters widely used by communities in Indonesia, known as unbranded refilled drinking water. The investigation was conducted at eight unbranded refilled drinking water depots in Karawang, West Java. A total of 2.00 L of raw air and processed water samples were taken from each depot, then prepared by the National Oceanic and Atmospheric Administration, analyzed using an Olympus BX - 41 microscope with a magnification of ten times, and then counted manually. The results showed that raw and processed water in all unbranded refilled drinking water depots contained microplastics with details of 15.50-42.00 particles/L and 6.50-17.50 particles/L, respectively. The dominant microplastics found were fibers and fragments with sizes of 1.00-3.00 mm and less than 1.00 mm. Furthermore, the dominant color of the microplastics was black, indicating that the polymers of microplastics were polyethylene, polypropylene, or polystyrene. This finding has confirmed that refilled drinking water consumed by the community in Indonesia has potentially become one of the main pathways for the entry and accumulation of microplastics into the human body, posing significant health risks. Based on current research, further research is needed to improve water treatment performance to protect public health. © 2025, The Authors. All rights reserved.

关键词： Microplastic

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Java Bali Grid Mean Time To Failure Prediction using Machine Learning 1

Java Bali Grid Mean Time To Failure Prediction using Machine...

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1st International Conference on Technology, engineering, and Computing Applications, ICTECA 2023

作者： Sesotyo, Priyo Adi Pandjaitan, M.M. Lanny W. Lukas Universitas Katolik Indonesia Atma Jaya Professional Engineer Study Program Faculty of Engineering Jakarta12930 Indonesia Universitas Semarang Electrical Engineering Dept. Semarang50196 Indonesia Universitas Katolik Indonesia Atma Jaya Electrical Engineering Master Program Jakarta12930 Indonesia Jakarta12930 Indonesia

ISBN: (纸本)9798350360554

The role of Mean Time To Failure (MTTF) is critical to maintain cost-efficient in smart grids, as the predictive maintenance means for ensuring their reliability. Java Bali grid is the most important power network in Indonesia, because it holds 75% energy sales and the foundation of the Indonesian government, business and industrial sectors. One method for prediction in the machine learning is the Linear Regression, as part of the Supervised Learning technique. The regression model extracts the grid overload variable from MV distribution system, where connected load (MVA) divided by the number of MV customers. The model constructs the Linear Regression function, where the slope and intercept values found from the correlation between predicted response and actual response. After confronting the function f(x) and the coefficient of determination (R2), the test results for the MTTF prediction values for Java-Bali's region shows the higher accuracy when the R2 shows highest value. © 2023 IEEE.

关键词： Forecasting

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The Impact Perceived Desirability, Propensity to Act, and Perceived Feasibility towards Technoprenurial Commitment Based on A Entreprenurial Event Theory 6

The Impact Perceived Desirability, Propensity to Act, and Pe...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Rumangkit, Stefanus Irianto, Aloysius Bagas Pradipta Hadi, Antonius Satria Management Department BINUS Business School Bina Nusantara University Jakarta Indonesia Information System Department Faculty of Engineering Atma Jaya University Yogyakarta Indonesia Study Program of Entrepreneurship Faculty of Economy University of Widya Mataram Yogyakarta Indonesia

ISBN: (纸本)9798331539603

Technopreneurship represent a form of entrepreneurship that emphasizes entrepreneurial skills and technology. Studies on technopreneurship have been conducted, but research investigating antecedents of technopreneurship based on the entrepreneurial event model (EEM), is still limited. Most research on technopreneurship is dominated by the use of the theory of planned behavior (TPB). Therefore, this study aims to investigate the driving factors in EEM, namely perceived desirability, propensity to act, and perceived feasibility to technopreneurship intention. In addition, another purpose of this study is to explore technopreneurship intention towards technopreneurship commitment. To achieve this goal, the study used quantitative research design, primary data sources, and data collection methods using questionnaires. The sample in this study amounted to 240, with the sampling method using purposive sampling. Reliability, validity, and hypothesis testing using Smart-PLS software version 3. The results showed that perceived desirability affects technoprenurial intention, propensity to act affects technoprenurial intention, perceived feasibility affects technoprenurial intention, and technoprenurial intention affects technopreneurial commitment. © 2024 IEEE.

关键词： Entrepreneurship Intention Entreprenurial Event Model Technopreneurship

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Design Technology of Geographical Information System of Rice Pandanwangi Cianjur Prediction Factors Products 1

Design Technology of Geographical Information System of Rice...

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1st Paris Van Java International Seminar on Computer, Science, engineering, and Technology, PVJ ISComSET 2020

作者： Musrifah, Ai Adikusuma, Andri Sutono Informatics Engineering Study Program Faculty of Engineering University of Suryakancana Indonesia

Cianjur is one of the renowned rice producers, particularly with the presence of Pandanwangi rice that can be grown in the Cianjur area. Pandanwangi has become one of Cianjur City's icons, the rice supremacy created by Pandanwangi Cianjur's tenacity and distinctive scent (pandanus fragrance). The Interest of pandanwangi was very high, both within the town of Cianjur and outside the town of Cianjur, but this was inversely proportional to the desires of the groups of farmers who appeared to prefer to plant rice other than Pandanwangi, on the grounds that the planting of Pandanwangi had a long harvest and that the likelihood of crop failure was also very high. Problems with information flows that are not well integrated between farmers' groups, farmers' group organizations, and the Agriculture Department in adjusting land details, planting time, planting location, estimating total harvest and harvesting time. To solve this problem, a framework must be built that can integrate the information needed for Pandanwangi Cianjur Harvest Prediction with Pandanwangi farmers' regional analysis based on geographic information system technology, using Google Maps Service. © Published under licence by IOP Publishing Ltd.

关键词： Harvesting

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Arduino and LabVIEW Based Ping-Pong Ball Position Control using PID Controller 17

Arduino and LabVIEW Based Ping-Pong Ball Position Control us...

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Ramelan, Agus Rohman, Febri Abdul Sulistyo, Meiyanto Eko Adriyanto, Feri Sartika, Nike Zakaria, Diky Faculty of Engineering Universitas Sebelas Maret Dept. of Electrical Engineering Surakarta Indonesia UIN Sunan Gunung Djati Bandung Dept. of Electrical Engineering Bandung Indonesia Mechatronics and Artificial Intelligence Study Program Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (纸本)9798350309164

Industrial development requires accurate and reliable control technology. One of the popular control systems is PID control. This paper discusses the implementation of the PID method for ping-pong ball position control by utilizing the theory of the Coanda effect. The control system was designed using Arduino as the controller and LabVIEW as the control interface. Tests were carried out by combining set point values to determine whether the position control system worked properly or not. The test results show that the PID method combined with LabVIEW can work well with the results of the PID control test at successive heights of 15 cm, 20 cm, 25 cm, 30 cm, and 35 cm obtained rise time (tr) 3.49 seconds, 4.58 seconds, 9.08 sec, 9.92 sec, and 8.84 sec. The average tolerance is 1.5 cm for the upper limit and 1 cm for the lower limit. © 2023 IEEE.

关键词： Position control

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