cover
Contact Name
Satria Abadi
Contact Email
sraijairtec@gmail.com
Phone
+6282182090959
Journal Mail Official
sraijairtec@gmail.com
Editorial Address
Jl. P. Kemerdekaan No. 21 Bandar Lampung, Lampung
Location
Kota bandar lampung,
Lampung
INDONESIA
IJAIRTec
ISSN : 27755800     EISSN : 27755797     DOI : -
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) is a publication for researchers and developers to share ideas and results of Artificial Intelligence and Robotic Technology. The whole spectrum of intelligent informatics is welcome, which includes, but is not limited to Machine Learning & Soft Computing, Data Mining & Big Data Analytics, Computer Vision & Pattern Recognition, and Natural Language Processing.
Articles 30 Documents
KOREAN LETTER HANDWRITING RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK METHOD VGG-16 ARSITEKTUR ARCHITECTURE Ery Hartati; Derry Alamsyah; Nataliatara Nataliatara
International Journal of Artificial Intelligence and Robotic Technology Vol 1, No 3 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v1i3.33

Abstract

Handwritten is a unique characteristic because each people has different handwriting. Handwritten can be an object to recognition of someone. In research on handwritten Korean alphabet recognition using the Convolutional Neural Network method with VGG-16 architecture. Data is scanned from 24 Korean handwritten alphabets with 14 kinds of consonants and 10 kinds of vocals on paper with black ink. Data there are two scenarios namely research using original data without binarization and data with binarization which for both scenarios are previously data has been resized. This research uses k-fold cross-validation with a value for k=5 and a confusion matrix. The result showed that both of scenarios are can be recognized with 99,52% accuracy, 95,56% precision, 94,11% recall for first scenario and 99,42% accuracy, 95,94% precision, 93,11% recall for second scenario.
SIMPLE ADDITIVE WEIGHTING METHOD AS A DECISION- MAKING MODEL FOR DETERMINING FRUIT QUALITY BANANA SEEDS IN TANGGAMUS LAMPUNG Meyla Nurvita; Siti Mukodimah
International Journal of Artificial Intelligence and Robotic Technology Vol 1, No 3 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v1i3.36

Abstract

Banana is a fruit that is very easy to find anywhere and anytime, because of its nature that can bear fruit at any time without waiting for the season to come like other fruits , especially in tropical regions such as the country of Indonesia and because of the many types and kinds of this fruit, ranging from those the size of a little finger to those that are the size of an avocado, all taste very sweet. Bananas are also associated with the local culture, examples of certain types of bananas are usually used as ubo rampes from a certain traditional ceremony. The study was conducted to determine the quality of banana fruit seeds in Tanggamus Lampung which was carried out using the Simple Additive Weighting method is one of the weighted summation methods. The basic concept of the Simple Additive Weighting method is to look for weighted summations with performance ratings on each alternative on all attributes. This aims to facilitate the research process of the results of this study. The results of the study conducted were based on calculations above V1 (weight of banana mas) = 0.875%, V2 (weight of banana pupae) = 0.725%, and V3 (weight of banana horn) = 0.6%.
MOBILE-BASED VACCINATION DATA COLLECTION APPLICATION IN SUKADADI VILLAGE Rika Irma Yanti; Sri Ipnuwati; Ferru Susanto
International Journal of Artificial Intelligence and Robotic Technology Vol 1, No 3 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v1i3.37

Abstract

Vaccination data collection in Sukadadi village is a very important thing to record every resident who has and will carry out vaccinations to overcome and prevent the spread of the COVID-19 virus. Previous research has produced an application that can help the process of collecting vaccination data and contact tracing more accurately and on time and flexibly can be updated in real-time so that the process of collecting vaccination data and contact tracing can be accessed by residents and local village officials This research aims to help residents of Sukadadi village in collecting vaccination data that will and has been carried out by local residents using the system  Recently, village officials and medical officers in Sukadadi village will find it easier to collect data quickly and computed so that the data produced is more accurate, precise and can be accessed by the community.
DECISION SUPPORT SYSTEM FOR DETERMINING THE BEST OIL PALM SEEDS USING THE ANALYTICAL HIERARCHY PROCESS METHOD Dedi Yunizar; Ahmad Syarifuddin; Kanti Lestari
International Journal of Artificial Intelligence and Robotic Technology Vol 1, No 3 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v1i3.38

Abstract

The need for the availability of quality oil palm seeds with an increasing quantity is in line with the increasing need of the world's population for palm oil. Good care of seedlings in early nurseries and main nurseries through the right dose of fertilization is one of the efforts to achieve optimal results in the development of oil palm cultivation. Most villagers do not know and can choose and distinguish good types of oil palm seeds, due to lack of knowledge about the types of oil palm seeds. With this method, it will make it easier for ordinary people to choose superior types of oil palm seeds through predetermined criteria and subcriteria. To help and make it easier for the community to choose superior types of oil palm seeds, as well as to increase people's insight into the types of superior seeds of oil palm.
EXPERT SYSTEM OF ARDUINO MICROCONTROLLER-BASED CATTLE CAGE SAFETY DETECTION WITH INFRARED PROXIMITY SENSOR Herni Setyaningsih; Andino Maseleno; Rulin Swastika
International Journal of Artificial Intelligence and Robotic Technology Vol 1, No 3 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v1i3.39

Abstract

Scurity is a basic need of the community in the current era of progress that is used to secure valuables. Scurity system is a security that has a circumcision that has been processed in the sense that it has been systemized according to its application in society or in an environment that is in accordance with its field. Farmers in the community are currently still troubled by the rampant theft of livestock. The rampant theft is also one of the factors in developing a security system, both data theft and theft in the form of goods or even livestock. The data collection methods used are observation, documentation, interviews, and literature studies. Making an Artificial Intelligence security system for Arduino-based livestock pens can provide reliable livestock cage security, because theft will be immediately accessed before carrying out the action. The design of the tool with this security system can provide information to the owner of the livestock shed that there is a thief approaching so that it can be used to maintain the safety of the livestock shed from theft.
LKMA FINANCIAL ADMININTRATION APPLICATION SYSTEM IN BUMI RATU VILLAGE BASED ON VB Sugiyanto Sugiyanto
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 2 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i2.53

Abstract

This study aims to analyze the financial system Gapoktan Karya Manunggal in the village of Bumi Ratu District Pagelaran Pringsewu. Basically, Gapoktan Karya Manunggal is a combination of several farmer groups and run a business together. With the help of the government is a racing program then Gapoktan Karya Manunggal menjalankn other businesses to the business of rural agribusiness finance institutions (LKMA). But now Gapoktan Karya Manunggal progressed so that Gapoktan Karya Manunggal opened business units such as savings and loan units and fertilizer sales unit. Management of administrative system in Gapoktan manunggal work is still done manually with a very limited number of Gapoktan board. This led to the slow performance of the cooperative and allowed the occurrence of errors that are not desired by the board of Gapoktan. Therefore, a new system is more efficient in reducing this problem. The system developed is a system of saving and loan application, recording, and calculating the net income, and selling of fertilizer. The design of this application is made for the purpose of facilitating the administrators Gapoktan in monitoring the existing finances without having to check every manual written by Gapoktan board in the village of Bumi Ratu.
EXPERT SYSTEM FOR HEPATITIS DISEASE DIAGNOSIS USING FUZZY TSUKAMOTO METHOD BASED ON WEBSITE IN RSUD PRINGSEWU Elvia Fajarwati; Niva Kurnia Sari
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 3 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i3.49

Abstract

The liver is a vital organ in humans, which functions as the formation and secretion of bile, and as a detoxification of poisons. Hepatitis is difficult to detect at an early stage but handling hepatitis at an early stage will greatly help the recovery of patients. With the increase in the number of Hepatitis sufferers besides being caused by an unhealthy lifestyle, it is also caused by the delay in handling when experiencing initial symptoms. So, this study aims to design an Expert System to diagnose hepatitis with a website-based Fuzzy Tsukamoto method so that it can facilitate access to information for people who need information about hepatitis. Website-based system design using the Fuzzy Tsukamoto method because it is considered flexible enough and has a tolerance to data that is not appropriate and based on natural language. Expert system as a tool in determining whether the patient is suffering from hepatitis or not with the Tsukamoto fuzzy method. The results of the discussion can be concluded that this system is designed with a simple model so that it can be used by the community.
IMPLEMENTATION OF MOBILE COMMERCE ON 3A JAYA MSME PRODUCTS Ranti Anggraeni
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 1 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i1.61

Abstract

Mobile Commerece is used as an online sales medium. With Mobile Commerce provides convenience for consumers because information is conveyed faster through their mobile devices with a wider marketing reach. Only by accessing M-Commerce via the internet can you choose the goods you want, know the types of goods available, and can make transactions without being limited by time and distance. Mobile Commerce was built with the aim of increasing sales of 3A Jaya. Therefore, a website was designed to be used as a place for selling snack products. The application is created using PHP and database language using MySQL with XAMP web server. Mitode system development using Waterfal mitode. The results of the development of the M-Commerce website application as a medium for online buying and selling transactions and help market and promote 3A Jaya products.
DECISION SUPPORT SYSTEM SELECTION OF DEPARTMENT AT TELKOM VOCATIONAL SCHOOL, LAMPUNG USING THE TOPSIS METHOD Arjuna Primanada
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 2 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i2.47

Abstract

In this era of technology, information technology is developing rapidly. One of them is in the field of education, for now there are many learning media that already use technology as a means to make it easier. With the fundamental changes in the field of information and communication technology, information has now become a very valuable and decisive commodity to achieve success. The problem raised this time is how to determine the majors that match the abilities of new students at SMK Telkom Lampung. Because in the activity of determining the majors at SMK Telkom Lampung. The school has not implemented a computerized system optimally because the majority of majors are still using a manual system. On this occasion the method that will be used to assist in the selection of majors at SMK Telkom Lampung is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method is based on the concept that the best selected alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. The TOPSIS method also has a simple and relatively easy-to-understand concept, is computationally efficient, and has the ability to measure the relative performance of each decision alternative in a simple mathematical form. In applying the selection of majors using the Decision Support System, it is hoped that it can really help facilitate and make the desired results in selecting majors more accurate, save time and get results faster. The decision support system for selecting majors at SMK Telkom Lampung can be further developed by creating a system where each test result that becomes a criterion is directly connected to the decision support system for selecting this major.
DESIGN OF AN EXPERT SYSTEM FOR THE DIAGNOSIS OF TUBERCULOSIS (TBC) USING THE VISUAL BASIC FORWARD CHAINING METHOD Cahya Ari Setiabudi
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 1 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i1.57

Abstract

One of the infectious diseases that is currently still a global concern is Tuberculosis or what is often called TB. Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. Making this expert system aims to produce a system that is capable of making a diagnosis that can provide a quick and accurate decision for tuberculosis sufferers with ease of use and provide solutions/suggestions according to the type of TB disease. The method used in this study uses the forward chaining method, which is an inference method that does reasoning from a problem to its solution. If the premise clause matches the situation (values TRUE), then the process will state the conclusion. The implementation of this expert system program goes well and provides the right solution for users.

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