Article Per Year (5 Year)
p-Index From 2021 - 2026
3.586
P-Index
This Author published in this journals
All Journal Riau Journal of Computer Science JURNAL MEDIA INFORMATIKA BUDIDARMA JIPN (Journal of Informatics Pelita Nusantara) JURNAL TEKNOLOGI DAN OPEN SOURCE JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi J-Com (Journal of Computer) Jurnal Bangun Abdimas SATIN - Sains dan Teknologi Informasi
Jhonson Efendi Hutagalung
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search
Journal : Building of Informatics, Technology and Science

 1 
Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit Kehamilan Berbasis Web Dania Purnawan; Jhonson Efendi Hutagalung; Sri Rezki Maulina Azmi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2039

Abstract

Diseases or disorders in pregnancy can cause death, especially for pregnant women and babies. This will also affect the infant mortality rate. Diseases that attack a woman's womb cannot be considered trivial and require the intervention of an expert, while an expert for this disease is still rare and certainly requires no small cost. In creating experts (human experts), it takes a relatively long time and costs are not small. One alternative effort to overcome this need is to create a web-based intelligent system. In this study, an expert system will be developed that can be used as a means to carry out early diagnosis of pregnancy diseases. The application of the system is equipped with a certainty factor calculation method that aims to show the level of confidence in the diagnostic results. From the symptoms experienced there is a 20% certainty level and for toxoplasma there are 80% that the patient has gestational anemia.
Implementasi Robot Orang-Orangan Sawah Supply Energi Matahari Memakai Microcontroller Ahmad Dahlan Simanjuntak; Jhonson Efendi Hutagalung; Abdul Karim Syahputra
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2101

Abstract

Sparrows are a type of pest that is very detrimental to rice farmers, even though these bird pests are small in size but in very large numbers, causing rice farmers to be overwhelmed in protecting rice from pests. Efforts made by farmers in protecting rice from bird pests by using scarecrows that work less effectively, it is necessary to have a scarecrow robot that can work effectively by utilizing solar heat as an energy supply. The rice field robot will be placed in the middle of the rice field that has issued a grain with a size of 20mx20m by utilizing the LDR sensor as a switch to turn on and off automatically, where the robot is equipped with 4 sound sensors placed in each corner of the rice field to detect the sound of birds on the ground. when the robot's sound sensor detects the sound of bird pests, the DC motor mounted on the robot body will move to rotate the robot body left and right along with the servo installed on the two robot arms will move in opposite directions from 00-1800 or 1800-00 and the DFPlayer will make a sound to scare away bird pests that will attack rice. Finally, the author hopes that this research can be further developed so that it can increase the use of the robot in bird repellent
Mesin Pendeteksi Uang Palsu Dengan Sensor LDR Berbasis Kecerdasan Buatan Sri Maharani; Jhonson Efendi Hutagalung; Abdul Karim Syahputra
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2102

Abstract

Money is a very important thing for human life in meeting the needs of life, as a medium of exchange in payment for the buying and selling process. The importance of money causes some people to try to have as much money as possible, even in a way that is against the law like make and circulate counterfeit money. Counterfeit money is counterfeit currency that is produced without legal authorization and permission from the state or government. The circulation and manufacture of counterfeit money is very detrimental to the economy of the country and the small community because it is difficult to distinguish counterfeit money by naked eye and tools to detect counterfeit money are not commonly used and existing tools do not detect paper money through the holographic bars contained in banknotes. The purpose of this study was to determine whether banknotes were included in the original or counterfeit category using LDR sensors, ultrasonic sensors, UV lamps, lasers, and UV sensors. Ultrasonic function to read the distance, if appropriate, it will automatically turn on the UV lamp which will be captured by the UV sensor, so that the holograms on the banknotes can be clearly seen and the laser is used to illuminate the bars on the money if the laser does not penetrate and the light will be received by the banknote. LDR sensor that adjusts to a predetermined value range, the results can be seen on the LCD screen and hear the sound from the speakers. It is hoped that the existence of this money detector can be used to help people avoid the circulation of counterfeit money and develop it further
Sistem Pakar Untuk Mendiagnosa Penyakit Lupus dengan Metode Forward Chaining Menggunakan Web Indah Wahyuni Bugis; Jhonson Efendi Hutagalung; Indra Ramadona Harahap
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2121

Abstract

Lupus disease can attack humans quickly. The initial symptoms that will arise are the same as common diseases such as high fever, prolonged thrush, and also hair will fall out and start to run out one by one until it will go bald, the form of red rashes that appear on the skin, excessive joint pain in the body, easily tired, weight loss, causing paralysis, there are many other symptoms. The lack of availability of a doctor and the limited knowledge of people in remote areas often make the initial diagnosis of the disease late, therefore the application of an expert system is considered very useful to help diagnose lupus early in view of the time and energy of an expert doctor. In the health sector there is an artificial intelligence called an expert system, which is a computer system that uses knowledge, facts and reasoning techniques in solving problems that can usually only be solved by an expert in their field. This study uses an expert system application method in making decisions using a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. From the diagnostic process, the system provides a selection of the symptoms experienced by the patient, resulting in CLE type lupus (Cutaneus Lupus Erythematosus)
Sistem Pakar Diagnosa Penyakit Diabetes dengan Menggunakan Metode Bayes Berbasis Web Shella Dwi Pratiwi; Jhonson Efendi Hutagalung; Suparmadi Suparmadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2124

Abstract

Diabetes Mellitus is one of the non-communicable diseases with the highest proportion in Indonesia and is the sixth highest cause of death in this country. Especially in Asahan District, the number of people with diabetes who died is increasing over time, so there needs to be effective treatment so that diabetes is no longer feared by the public because it is easy to treat. Many patients who experience diabetes are getting worse because they cannot detect the early symptoms of diabetes, which is still considered trivial. There is no information about diabetes and its symptoms, making it difficult to diagnose the disease. In the diagnosis of DM disease is limited to conventional diagnoses with doctors. it is necessary to build a system on a computer application to help diagnose DM. To determine the level of DM disease, an expert diagnostic system was made with the method used in this case is the Bayes method. This method is an approximation to an uncertainty that is measured by probability. Bayes' approach at the time of classification is to find the highest probability by inputting the required attributes and the probability of the disease and related symptoms. The results of the implementation of the system are the selection of symptoms according to the case of experiencing type 1 diabetes because it has a weight = 2 higher than the weight results of other diseases, the system provides the results of the process the system will provide information on what type of DM he is experiencing in order to get a solution with treatment
Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Kerusakan Sepeda Motor Berbasis Web Mhd Ilyas; Jhonson Efendi Hutagalung; Suparmadi Suparmadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2163

Abstract

Repair motorbikes in the workshop, there are still some beginner technicians who do not really understand looking for damage to motorbikes so they have to ask senior technicians at the workshop often. For this reason, it is necessary how to diagnose damage to motorcycle vehicles by knowing the types of damage, symptoms of damage, characteristics of damage, then diagnosis and alternative solutions to problems are needed. Most of the damage to motorbikes occurs due to negligence in carrying out maintenance on the motorbike itself, whether it is due to the busyness of the user or lack of knowledge in the maintenance of the motorbike used. The inference model used in making this expert system is forward chaining, while the search technique uses depth first search. Determination in diagnosing expert systems is done through a consultation process between the system and the user. In system testing, the results obtained are ECU System malfunction based on novice technician answers to system questions. By using the IF-THEN rule to obtain a solution for motorcycle damage
Sistem Pakar Diagnosa Penyakit Ayam Potong dan Petelur dengan Metode Dempster Shafer Syahdad Eka Ramadhan; Jhonson Efendi Hutagalung; Suparmadi Suparmadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2189

Abstract

At this time, chicken diseases often occur, especially for broiler and laying hens, so that it will cause a decrease in the production of meat and eggs. Diseases that attack chickens sometimes cannot be overcome by breeders because farmers do not understand the early symptoms of chicken illness, so farmers allow these conditions to cause chicken disease to get worse. If it gets worse then the disease will spread to other chickens quickly. Farmers also rarely consult with livestock extension workers at the Livestock Service Office of Asahan Regency and the agency cannot visit the farm because the road to the farm is far away and in a damaged condition. In order to be able to conduct good consultations between farmers and the service, it is necessary to design an application based on an expert system to facilitate farmers in diagnosing chicken diseases so that they do not have to come for consultation with livestock extension workers. With this web-based system used, it makes it easier for farmers to diagnose broiler and layer chicken diseases by simply selecting the symptoms that may be experienced by chickens in the system and the system will provide decisions about what diseases the chickens are experiencing. In the expert system application designed using data analysis with the Dempster Shafer method. The results of the decision with the case studied in the form of symptoms experienced by chickens resulted in 38.44% of snot disease, besides being able to determine the disease, this application can also provide a solution for handling it
Sistem Pakar Deteksi Awal Covid-19 Menggunakan Metode Certainty Factor Nasution, Rama Danil Fahri; Hutagalung, Jhonson Efendi; Kifti, Wan Mariatul
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.008 KB) | DOI: 10.47065/bits.v4i1.1508

Abstract

Data on the development of Covid-19 cases globally and in Indonesia and predictions of an increase in the number of cases, of course, it is necessary to take several steps in dealing with Covid-19, the community must implement physical distancing and maintain personal hygiene and the surrounding environment as preventive measures to suppress the spread of Covid-19. This is in accordance with WHO's appeal regarding strategic steps in dealing with the global Covid-19 pandemic. As in other countries, suspect Corona (people who show symptoms of being infected with COVID-19 and are suspected of having had contact with positive COVID-19 patients) are increasing in Indonesia so that requests for specimen tests at laboratories that have been appointed by the government have also increased. For this reason, another way is needed to detect COVID-19 that is more practical and faster by analyzing data using the Certainty Factor method. With the Covid-19 Early Detection expert system, so that it can provide convenience for Aek Kanopan Regional General Hospital (RSUD) doctors and patients in carrying out the Covid-19 Early Detection process in the database. Can help the Regional General Hospital Doctor (RSUD) Aek Kanopan and provide services to patients in terms of the existing Covid-19 Early Detection and successfully conclude the early symptoms of covid-19 and their handling solutions
Co-Authors Abdul Karim Syahputra Ainun Mardiah Ainun Mardiah Aisar Novita Arfian Jumintar Sitorus Ari Dermawan Ari Dermawan Azhar Robbi Dayus Bachtiar Efendi Bachtiar Efendi, Bachtiar Cecep Maulana Dahriansah - Dali Ansa, Sri Devi Dania Purnawan Dwi Kurnia Utami Endra Saputra Febri Dristyan hafzihan ihwana Zihan Harahap, Indra Ramadona Herman Saputra Herman Saputra Hidayatullah Hidayatullah Hidayatullah Hidayatullah Hilda Julia Indah Wahyuni Bugis Iqbal Kamil Siregar Jeperson Hutahaean Khairani, Ica Kifti, Wan Mariatul Manurung, Nuriadi Mardalius Mardalius Mhd Ilyas Nasution, Rama Danil Fahri Rohminatin Rohminatin Rohminatin, Rohminatin Rolly Yesputra Selvia Rani Shella Dwi Pratiwi Siregar, Iqbal Kamil Sri Devi Dali Ansa Sri Rezki Maulina Azmi Suparmadi Suparmadi S Syahdad Eka Ramadhan SYAHPUTRA, HERU Tengku Riza Zarzani N Venny Octavia