JTH: Journal of Technology and Health
The journal publishes writings on: Electrical Engineering such as: Signal Processing, Electronics, Electrical, Telecommunication, Instrumentation & Control, and Computing and Informatics. Automotive Engineering and Automotive Vocational Education such as: Automotive Engines (Petrol, Diesel, Electric, Hybrid, Gas/LNG), Drive System, Clutch and Cruise Control, Transmission (Toptronic Automatic, Direct Gear Automatic, CVT Automatic), Tranaxle, Chassis, Brakes (Conventional, ABS and ESP), Traction Control System, Electric Power System, Steering (Hydraulic, Autonomous, Four Wheel Drive), Advanced Driver Assistance Systems, Suspension (Active, Passive, Semi-active and Passive), Tires and Wheels, Frame, Electrical and Instrumentation, Systems Lighting and Signs, Instrumentation System Clusters, Filling and Strater Systems, System Networks Inverters, Electric Motor Converters, Batteries and Battery Management Systems, Control Systems (Conventional and Intelligent), Vehicle to Vehicle (V2V) Integration, Vehicle to Infrastructure (V2I), Air Conditioning and Heating, Body Design and Repair, Application Development and Smart Technology in Automotive, Evaluation of Automotive Engineering Education, Curriculum, Materials and Media of Automotive Engineering Education, and Management of Automotive Engineering Education. Nurses such as: Adult Nursing, Emergency Nursing, Gerontological Nursing, Community Nursing, Mental Health Nursing, Pediatric Nursing, Maternity Nursing, Nursing Leadership and Management, Complementary and Alternative Medicine (CAM) in Nursing, and Education in Nursing. Pharmaceuticals Sciences such as: Pharmacology and Toxicology, Pharmacokinetics, Community and Clinical Pharmacy, Pharmaceutical Chemistry, Pharmaceutical Biology, Pharmaceutics, Pharmaceutical Technology, Biopharmaceutics, Pharmaceutical Microbiology and Biotechnology, and Alternative Medicines. Sports and Exercise Sciences such as: anatomy, biomechanics, performance analysis, physiology, psychology, sports management, sports medicine, sports nutrition, health, and well-being, as well as coaching and talent identification and physical education. The Journal also publishes review articles and book reviews with the above themes.
Articles
63 Documents
<![CDATA[AVOCADO STOCK PREDICTION SYSTEM IN FRUIT SHOPS: A Case Study in Bantul City ]]>
<![CDATA[Setiawan, Wisnu]]>;
<![CDATA[Hastono, Tri]]>;
<![CDATA[Gunawan, Riyan Fahmi]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.3
<![CDATA[This study aims to develop a predictive system for avocado stock that can be used by fruit stores in Bantul City. This case study was conducted to analyze and predictavocado inventory based on historical data and other factors influencing demand and supply in the area. The method used in this research is the prediction method using Adaline (Adaptive Linear Neuron). The results show that this avocado stock prediction system can assist fruit stores in optimizing inventory and avoiding stockouts. The implementation of this system is expected to enhance efficiency andcustomer satisfaction in fruit stores in Bantul City. Further research is recommended to conduct a more in-depth analysis of the factors influencingavocado demand and supply in Bantul City to improve stock predictionaccuracy. Keywords: predictive system, avocado stock, fruit store, inventory management, Bantul City.]]>
<![CDATA[BACKPROPAGATION ARTIFICIAL NEURAL NETWORKS PREDICTION OF ELEMENTARY SCHOOL STUDENT GRADUATION WITH EXAMINATION PRACTICE SCORE ]]>
<![CDATA[Sunaryo, Azzahra Rahmawati]]>;
<![CDATA[Hastono, Tri]]>;
<![CDATA[Abelia, Nevanda]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.4
<![CDATA[Backpropagation method is a computer technique to help predict and sort data. This method is usually used to change the connection between parts of the computer's brain in the hidden layer. Meanwhile, the Nervous System Network (ANN) is an information processing system that is very similar to the function of human brain cells. Value is a benchmark for a student's graduation, if the student'sscore is getting better, the more opportunities for the student's graduation. In predicting this pass using the method of Artificial Neural Networks (ANN), namely Backpropagation and using Matlab software with the MSE (Mean Square Error) result of 0.099512. Keywords: Graduation Prediction, Backpropagation, Examination Practice Value, Artificial Neural Networks, Matlab]]>
<![CDATA[SALES PREDICTION OF ANUGERAH JAYA PANCING 99 SHOP WITH BACKPROPAGATION NEURAL NETWORKS ]]>
<![CDATA[Binurilfatikhah, Barikna]]>;
<![CDATA[Hastono, Tri]]>;
<![CDATA[Sulistyawati, Tyas]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.5
<![CDATA[Artificial Neural Network (Artificial Neural Network) is an information processing paradigm inspired by the workings of biological nervous systems, such as the performance of the brain, which processes information. Toko Anugerah Jaya Pancing 99 faces challenges in predicting product sales that fluctuate according to customer demand, and external factors can also affect sales of their products. To determine store sales predictions using the backpropagation method. From the research results with data training experiments it was found that the iterations process stopped when the epoch reached 6, time 0.00.01, performance 0.317, Gradient 0.359, and Validation Checks 6. Keywords: Prediction, Backpropagation, Neural Networks, Sales]]>
<![CDATA[INTRODUCTION TO HEALTHY LOW-SUGAR FOODS USING ARTIFICIAL NEURAL NETWORKS WITH THE PERCEPTRON METHOD ]]>
<![CDATA[Wirayudha, Wendy]]>;
<![CDATA[Hastono, Tri]]>;
<![CDATA[Mujahidin, Mujahidin]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.6
<![CDATA[With tecnology, the figuring system has become simpler. Tecnology are utilized to demonstrate the organic nerves of the human mind, Tecnology are prepared and shown the proper behavior like human nerve cells that can perceive basic examples. Counterfeit brain networks can perceive input examples and will give yield that matches the objective to be accomplished. In this review, the Perceptron technique was utilized to distinguish input designs as sound, low-cholesterol food varieties. This technique works by changing the contribution to the objective and changing the loads until no more mistakes are tracked down in every age. This side effect of serving a low-sugar diet shows that meat, fresh fish, and vegetables are food sources that contain high levels of sugar. Keyword: neural networks, perceptron, sugar.]]>
<![CDATA[STOCK PRICE PREDICTION USING ARTIFICIAL NEURAL NETWORKS WITH THE ADALINE METHOD ]]>
<![CDATA[Sona, Rama]]>;
<![CDATA[Hastono, Tri Hastono]]>;
<![CDATA[Anjasmara, Pipim Diaz]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.7
<![CDATA[ Prediction of stock prices has an important role in making investment decisions in financial markets. In this study, researchers propose the use of artificial neural networks with the Adaline method to predict stock prices. The Adaline method is a learning algorithm that iteratively adapts network weights to minimize prediction errors. In the early stages, researchers collect relevant stock price historical data and process it into a training dataset. Next, build an artificial neural network with one input layer, one output layer, and use a linear activation function. The network weights are initialized randomly, and the training process begins. In network training, the researcher applies the Adaline algorithm with the descending gradient method to optimize the objective function. The researcher updates the network weights based on the difference between the actual stock price and the stock price predicted by the network. This process is repeated iteratively until it converges or reaches the specified stopping criteria. After the training is complete, the researcher evaluates the network performance using validation data that was not used in the training. Researchers used evaluation metrics, such as the mean absolute error (MAE) and root mean square error (RMSE), to measure the accuracy of network predictions. In addition, researchers also compared the performance of the Adaline network with other prediction methods, such as linear regression. The experimental results show that the artificial neural network with the Adaline method is able to provide accurate stock price predictions. Researchers observed a significant reduction in prediction error compared to the linear regression method. In addition, the Adaline network also shows good adaptability to changes in market trends. This research makes an important contribution to the development of stock price prediction methods using artificial neural networks. The results can be used as a guide for investors and stock traders to make more informed and effective investment decisions. Keywords : stock price prediction, artificial neural network, Adaline method, learning algorithm, performance evaluation.]]>
<![CDATA[NEW STUDENT REGISTRATION INFORMATION SYSTEM AT THE WAISUMAR STATE ELEMENTARY SCHOOL MODEL SCHOOL ]]>
<![CDATA[Hendrikus U Ngaru Galar]]>;
<![CDATA[Adelbertus U Janga]]>;
<![CDATA[Felysitas Ema Ose Sanga]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.44
<![CDATA[Registration carried out by the system automatically provides announcements of registration results carried out online. Prospective new students can find out announcements easily using the internet. The implementation of online admissions for new students is considered to have its own advantages and benefits. Apart from being more efficient, online acceptance of new students is more transparent and open. This includes facilitating monitoring both by students or parents and the community as well as by departments and related parties. The method used in this research is a data collection technique where there are observations, interviews and literature studies. This new student admissions information system was built using the PHP programming language and utilizes the MySQL database as the database server. It is hoped that this research can help prospective new students and new student admissions officers in the process of registering new students at the Waisumar State Elementary School.]]>
<![CDATA[WEB-BASED POPULATION DATA COLLECTION INFORMATION SYSTEM IN TEMA TANA VILLAGE ]]>
<![CDATA[Marlince Saingo]]>;
<![CDATA[Adelbertus Umbu Janga]]>;
<![CDATA[Alexander Adis]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.62
<![CDATA[The Village Information System is an inseparable part of the implementation of Village laws. Village Law Article 86 concerning Village Development Information Systems and Rural Area Development clearly states that villages have the right to access information through information systems developed by regional or city governments. A system is a group of elements that are closely related to each other, which function together to achieve certain goals. Hardware and software. Hardware includes one notebook unit with eighth generation Intel Core i3 specifications, 4 Gb RAM, 256 Gb SSD. The software used includes the Windows 10 Pro 64bit operating system, Notepad++, XAMPP, Chrome, Microsoft Word, Microsoft Visio. The results obtained from this research are an administrative information system that can solve the problems faced by Tema Tana Village. From the results of the discussion it can be concluded that the administrative information system can answer the problems faced, including easier and faster data searching, data archiving does not take up much space. large because it has been replaced by digital storage, and data reporting can be presented quickly, completely, attractively and according to office need]]>
<![CDATA[INFORMATION SYSTEM FOR BORROWING AND RETURNING BOOKS AT MANDA ELU PRIVATE HIGH SCHOOL ]]>
<![CDATA[Rosalia Padaka]]>;
<![CDATA[Adelbertus Umbu Janga]]>;
<![CDATA[Mitra Permata Ayu]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.64
<![CDATA[In the current era of globalization, the world of information is developing very rapidly because it is supported by increasingly sophisticated technological developments. Computers are a tool to support the development of information technology. Therefore, an institution that uses computers to manage its information system will have more value than a system that is processed manually. Current technological developments are very diverse in various aspects of life so that they really help human activities every day. This includes the development of computer technology with various applications used in various scientific disciplines. It is hoped that this technology, which was born thanks to human creativity and innovation, can regenerate creativity and new innovations in various fields that mark the progress of this technology. One area that cannot be separated from the use of technology is education. Hardware and software. Hardware includes one notebook unit with eighth generation Intel Core i3 specifications, 4 Gb RAM, 256 Gb SSD. The software used includes the Windows 10 Pro 64bit operating system, Notepad++, XAMPP, Chrome, Microsoft Word, Microsoft Visio.The results obtained from this research are an information system for borrowing and returning books that can solve the problems faced by Manda Elu Private High School. From the results of the discussion it can be concluded that the information system for borrowing books and returning books can answer the problems faced, including making data searches easier and faster, archiving data does not take up a lot of space because it has been replaced by digital storage, and data reporting can be presented quickly and completely. , attractive and suitable for office needs. Keywords: information system, book lending, website]]>
<![CDATA[WEB-BASED DECISION SUPPORT SYSTEM FOR EXAMPLE TEACHER SELECTION IN DIMU KALIPE SDK USING THE SIMPLE ADDITIVE WEIGHITE (SAW) METHOD ]]>
<![CDATA[Marten Dara Rode]]>;
<![CDATA[Adelbertus Umbu Janga]]>;
<![CDATA[Paulus Mikku Ate]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.65
<![CDATA[A school requires quality human resources and quality education in order to increase its profile and performance in achieving school educational targets and goals. One element that has a big influence is school quality. Therefore, a method or supervisory body is needed to assess the quality of education in schools while reducing subjective assessments of the quality of school education. Assessing the quality of school education certainly has many assessment criteria with different priorities, so an SPK application and method is needed that can take these criteria into account. One method of approach to solving multi-criteria problems is Simple Additive Weighite (Saw), which is a way of making decisions by looking for the best choice among existing alternatives by calculating the proximity of the alternative to the ideal solution value. The research was carried out by calculating the criteria points for quality elements and instruments so that it is easier to assess school quality. The final result obtained is a sequence of alternative closeness values with the ideal solution value. From the test it can be concluded that it is easier to make more objective decisions.]]>
<![CDATA[APPLICATION OF THE CERTAINTY FACTOR METHOD IN DIAGNOSIS DAMAGE TO WEB-BASED DSLR CAMERA ]]>
<![CDATA[Benyamin Baro Bulu]]>;
<![CDATA[Andreas Ariyanto Rangga]]>;
<![CDATA[Maria Wilda Malo]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.vi.66
<![CDATA[system to pass the light beam to both places, namely the Focal Plane and Viewfinder, thus allowing the photographer to be able to see objects through the camera exactly the same as the photo. used sometimes experience several problems such as minor damage or even heavy damage. There are two types of camera damage, namely damage to the hardware device (both lens and camera body) and software. Therefore, the author attempts to conduct research on an expert system for diagnosing damage to web-based DSLR cameras using the certainty factor method to measure the level of certainty regarding a damage. The results of the expert system for diagnosing damage to DSLR cameras are to design a system that can provide a consultation facility for DSLR camera photographers in diagnosing damage to DSLR cameras. The system can recognize damage correctly and provide results in percentage form if there is more than one damage result and the system able to provide information on whether a damaged camera device can be repaired or replaced with a new one.]]>
