International Journal of Health, Engineering and Technology
International Journal of Health, Engineering and Technology (IJHET) is to provide research media and an important reference for the progress and dissemination of research results that support high-level research in the field of Health, Engineering and technology. Original theoretical work and application-based studies, which contribute to a better understanding of all areas of Health, Engineering and Technology , the journal publishes articles six times a year in May, July, September, November, January and March. Scope: International Journal of Health, Engineering and Technology (IJHET) is to provide a research medium and an important reference for the advancement and dissemination of research results that support high-level research in the fields of Health, Engineering and Technology Research. Original theoretical work and application-based studies, which contributes to a better understanding all fields of Health, Engineering and Technology Research. Healt : Clinical Nutrition, Community Nutrition, Institutional Nutrition, Food Technology, Food Security, Pediatric Physiotherapy, Geriatric Physiotherapy, Cardiovascular and Pulmonary Physiotherapy, Musculoskeletal Physiotherapy, Sports Physiotherapy, Public Health, Community Sanitation, Environmental Health, Nursing, Biology, Medicine, Pharmacy. Engineering : The field of mechanical Engineering include expertise in energy conversion, construction machinery, manufacturing and materials. The field of Electrical Engineering which includes skills power engineering, telecommunications engineering and information, as well as control and instrumentation. The field of Chemical Engineering which includes expertise in the field of new and renewable energy, the environment field. The field of Civil Engineering which includes expertise in the fields of structural, geotechnical, transportation and water. The field of Metallurgical Engineering which includes expertise in extraction, manufacturing and characterization of materials. The field of Industrial Engineering which includes enterprise management system, working system and the ergonomics and manufacturing systems. Technology: Open Source Application, Information Management, Information System, IT & Social Impact, Geographical Information System, Web Engineering, Database Design & Technology, Data Warehouse, Network Security, Data Mining, Computer Architecture Design, Mobile Programming.
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218 Documents
The Importance Of Physical Activity And Community Participation Amongst Women For A Better Quality Of Life: A Cross-Sectional Study of Indonesia Family Life Survey
Faiza Yuniati;
Sherli Shobur;
Intan Kumalasari;
Lukman;
Devi Mediarti;
Rizki Sri Haryanti
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.25
Background:The quality of life differs according to individual characteristics and social life. Employment status impacts women's role in family and society. Income influences many aspects of women's lives. This research was designed to compare the quality of life of employed women with unemployed womens. This study is quantitative research in public health to determine the quality of life of employed women and unemployed womens. This study used data from the Indonesia Family Life Survey in 2014. The first (IFLS1) wave was conducted in 1993–1994. The survey individuals represented almost 83% of the Indonesian population residing in 13 of the country’s 26 provinces. IFLS5 was carried out in 2014-2015 and the individual re-contact rate was 90.5%. The number of women in the 2014 IFLS data aged 22-55 years who were not attending school is 10,661. Subjects with complete data in this study were 7169. Primary activities during the past week such as being employed and homemakers were eligible criteria. The average QoL score of employed women was higher than unemployed womens, with the mean difference was 0.019. The person correlation reveals no differences in overall QoL for both groups. Despite the Pearson correlation test revealing no significant difference in overall quality of life, employed women rated higher scores for almost dimensions of quality of life (well-being, general health, physical activity, social participation, religion, and social environment). The current study identified significant differences in physical activity and community participation for the two groups. The quality of life of employed women is better than unemployed. This study provides the ensuing practical implications regarding regular physical activity and getting involved in community programs. It is necessary to strengthen the support system. Furthermore, health promotion is essential for women to take responsibility for chores and achieve social support by engaging in community activities.
Data Mining Motor Vehicle Testing Based On Vehicle Type Using The K-Means Method Case Study Binjai City Transportation Service
Aldo Kristian;
Budi Serasi Ginting;
Suci Ramadani
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.26
Motor vehicle testing is a series of activities to check the components in the vehicle. Motor vehicle testing is very important, because vehicles operated on the road have the potential to cause accidents. So if periodic inspections are not carried out, it cannot provide technical safety to vehicle users, because it is not known what components are lacking and what components must be repaired. In this study, motor vehicle test data will be calculated using the K-Means. The K-means algorithm is aclusteralgorithm non-hierarchical. Cluster analysis is a tool for grouping data based on variables or features. The purpose of k-means clustering, like other clustering methods, is to obtain clusters of data by maximizing the similarity of characteristics within the cluster and maximizing the differences between clusters.groups K-means clustering algorithm data based on the distance between the data and the centroid cluster Cluster with the number of motorized vehicle data based on the type of vehicle as many as 4 vehicles, namely, freight cars, MPU, buses, and betor. Cluster 1 there are 7 groups with 7 types of vehicles: 2 BUS and 5 betor where there is one type of vehicle (betor) that does not pass the test due to the type of damage at the time of testing motor vehicle. Cluster 1 is the type of vehicle that passes the motor vehicle test the most with the lowest level of damage; Cluster 2 there are 4 groups by type of vehicle: 4 Cars of Freight where 2 of them did not pass the test because of the type of damage during the motor vehicle test; Cluster 3 has 9 groups with the types of vehicles: 2 freight cars, 4 MPUs, and 3 BUS. 3 BUS and 1 MPU did not pass the test due to damage during the motor vehicle test. cluster is the cluster of vehicle types that do not pass the test with the most types of damage.
Simulation Of The Trans Binjai Bus Quue Service System Using Poisson And Exponential Distribution Test Results (Case Study: Binjai City Transportation Office)
Asrofi Liza Nasution;
Akim MH Pardede;
Fuzy Yustika Manik
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.27
The Trans Binjai Bus or Bus Rapid Transit (BRT) which is managed by the Binjai City Transportation Service is a bus system that is fast, comfortable, safe and on time. Each BRT system must use a different improvised system, although the improvements are shared with other BRT systems. The queue system in operations carried out by the Trans Binjai Bus often occurs overcrowding and even builds up at one point which results in Trans Binjai Bus users having to wait and not know the departure schedule. Therefore, the queuing system in the operation of the Trans Binjai bus must be carried out in a systematic and scheduled manner so that accumulation at one point and delays can be avoided. Queue is a waiting line situation where a number of physical units (entrants) are trying to receive service.
Expert System For Diagnostic Disease Of Cultivation Of Cucumber Holticulture Using Certainty Factor Method Based On Web-Based
Dhea Armaya;
Budi Serasi Ginting;
Yani Maulita
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.28
Indonesia is an agrarian country where most of the population earn a living as farmers, including cucumber farmers. The biggest threat to cucumber farmers is the presence of diseases that attack their cucumber plants. What often happens is that there are many losses due to cucumber plant diseases that are too late to detect and have reached a severe stage, causing crop failure. To identify a disease disorder on cucumber plants, an expert on cucumber plant diseases is needed in diagnosing symptoms of disease disorders that attack cucumber plants. The distance traveled by experts to find out cucumber plant diseases at the Department of Agriculture of Langkat Regency is difficult so that it makes farmers experience losses and it is difficult to diagnose diseases in cucumber horticultural crops. For that reason, so in this study an expert system was built to diagnose diseases in cucumber horticulture crops. This expert system has 7 diseases and 16 symptoms . The Certainty Factor method was chosen because it is able to provide a level of confidenceexpert on the problem at hand. Based on the results of the Certainty Factor calculation, the highest confidence value is found in powdery mildew and rotten fruit with a value of 0.6 with a value of 60%. From the results obtained, the system diagnosed that the plant was affected by powdery mildew and rotten fruit.
Expert System To Diagnose The Feasibility Of Drinking Water For Consumption Using Certainty Factor Method In Pdam Tirta Sari Kota Binjai
Niko Ramot Saragi;
Arnes Sembiring;
Nurhayati
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.29
Drinking water is water that has been processed or without processing that meets health requirements and can be drunk directly. Meanwhile, to find out the water is fit for consumption or not. It is difficult to distinguish what causes errors that lead to problems that occur such as health problems. Such as metal content must be safe for consumption. It takes a system that can be used as an information provider to determine the quality of drinking water suitable for consumption which is managed by PDAM Tirta Sari, Binjai City. An expert system using the certainty factor method in diagnosing the feasibility of drinking water for consumption. Drinking water in determining whether or not water is feasible and helps provide valid information about the feasibility of drinking water for consumption to customers.
Comparative Analysis Of Decision Support Systems Determining The Right Food Business Location In Binjai City Using Topsis And Saw Methods
Retno Hidayati;
Novriyenni, Novriyenni;
Nurhayati, Nurhayati
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 4 (2024): IJHESS NOVEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.30
Every year, the development of the business world continues to increase. The location to open a business in accordance with the sales target in accordance with the market share is very difficult. In order to provide the right decision in choosing a business location, a method is needed in making decisions. Materials (data) and Methods: The business locations processed in this study were 6 types of criteria, namely the number of competitors, the level of population density, the number of supporting businesses around the location, business location permits, business position and traffic access. The method used in processing the data is SAW and Topsis. The stages of processing the SAW and Topsis methods in this research are initializing the wood data. The result of dividing and then multiplying all the criteria according to the weights. Then in the end, the highest preference value will be obtained for each alternative. The result of testing this method is ranking. The best ranking is the ninth alternative. This result has 90% accuracy. The choice of business location can be done optimally. So that the results of the decisions that have been obtained can be used as a guide for choosing a business location that is in accordance with the target market to be achieved.
Application Of The Viola Jones Algorithm On Face Detection
Joyanda Hasiholan Sinurat
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 4 (2024): IJHESS NOVEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.31
The face is the central organ for human expression, recognition, and communication. The face consists of four very important sense organs, namely the nose, eyes, ears, and tongue. The human brain has the privilege of recognizing someone based on their face. Face Detection is used to find out faces or nonfaces in an image and this section is the first step in the face detection process so its presence is very vital. Face detection task is very easy for humans, but this task is very complicated for computers because there are several stages that must be passed to detect faces. Where in this study the author designed and made an application for the application of the viola jones algorithm on face detection by discussing Python programming and using the Mysql database. The application of the viola jones algorithm on face detection goes well. Faces can be recognized by the application and display face owner information. Where the test is divided into 5 (five) including lighting testing with a test percentage level of 66.67% of detected faces, testing distance testing of 100% of faces detected at a distance of 1-100 cm, testing the number of faces there are 6 (six) results detected with 2 (two) faces, where faces must be approximately 10 cm apart so that faces can be detected and no results are detected on 3 (three) faces. So it can be concluded that the application cannot capture all faces detected by the camera. different face testing percentage test 100% the application can detect different people's faces with a single face.
Design Of Automatic Hand Sanitizer Spray System Based On Arduino Uno Using Fuzzy Logic Method
Firhan Ali;
Husnul Khair;
Imeldawaty Gultom
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 4 (2024): IJHESS NOVEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.32
Washing hands is the act of cleaning like fingers to wrists using water or other liquids. Hand sanitizer with a minimum alcohol content of 60% is believed to be effective for killing germs and other harmful microorganisms because hands are one part of the body that often interacts such as touching and can be a medium for the spread of viruses, germs and bacteria. The manufacture of tools is carried out as one of the efforts in advancing technology to provide convenience and comfort through the development of an automatic system for hand sanitizer containers. From the above problems an Arduino based automatic hand sanitizer system was created. This system works directly to be able to spray liquid automatically. This system is expected to make it easier for users to spray liquids without having to do it manually or touching the container directly to maximize time efficiency and keep it clean. By designing a prototype to make this automatic hand sanitizer using an ultrasonic sensor as input, Arduino Uno Atmega328p as a microcontroller, and a servo motor as a driver for the hand sanitizer container. The system on the tool to be made is capable of spraying liquid automatically at a maximum distance of 10 centimeters.
Description Of Knowledge Level Of Antibiotic Drug Use In Tanjungmojo Village, Kangkung District, Kendal Regency
Haini Santi;
Elvira Rosa;
Gigih Anggi Ardiansyah
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 4 (2024): IJHESS NOVEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.33
The level of public knowledge about the use of antibiotic drug classes is still low and causes a high level of irrational use. This study is a descriptive study. Data collection was carried out by survey, namely meeting respondents directly by giving questionnaires. The results showed that the level of knowledge on the use of antibiotic class drugs in tanjungmojo village, kangkung kendal district was still lacking. This can be seen from the results of the questionnaire. The average of the last education taken by respondents in tanjungmojo village , kendal regency was at the sma/smk level. The average occupation of respondents in tanjungmojo village, kangkung district, kendal regency is labor. The level of knowledge in tanjungmojo village, kangkung district, kendal regency, is categorized as moderate , this can be seen from the results of research between the highest level of knowledge and the lowest level of knowledge.
Appropriate Use Of Anti-Diabetic Medicine In Diabetes Mellitus Patients In BPJS Participants In The Outstanding Policy Of Dr H.Soewondo Kendal 2020
Ika Pratiwi;
Elvira Rosa;
Nurul Syazwani;
Agustina Katikasari
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 4 (2024): IJHESS NOVEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH
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DOI: 10.55227/ijhet.v1i2.34
Diabetes Mellitus (DM) is a chronic condition that occurs because the body cannot produce insulin normally or insulin cannot work effectively. Indonesia is ranked fourth in the number of people with DM in the world after the United States, India and China. Rational use of drugs requires that patients receive treatment according to clinical needs, in the required dose of each individual within a certain period of time at the lowest cost. This research is a descriptive research. Descriptive research method is a research method that is carried out with the main aim of making a picture or description of a situation objectively. Descriptive research methods are used to solve or answer the problems being faced in the current situation. The profile of the use of antidiabetic drugs in terms of gender is mostly women with a percentage of 57.7%, most patients are in the 40-60 year age group as much as 50.0%. The most use of single antidiabetic drugs is sulfonylurea 33.6%, combination therapy mostly uses 3 classes of drugs by 63.6%, namely Alpha Glucoside Inhibitors, Sulfonylureas and Biguanides. For the administration of combination therapy, the most insulin is a combination of longrapid and85.7 actingacting %.