Articles
<![CDATA[Improved feature extraction method and K-means clustering for soil fertility identification based on soil image ]]>
<![CDATA[Ramadhanu, Agung]]>;
<![CDATA[Hendri, Halifia]]>;
<![CDATA[Enggari, Sofika]]>;
<![CDATA[Andini, Silfia]]>;
<![CDATA[Devita, Retno]]>;
<![CDATA[Rianti, Eva]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 3: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v38.i3.pp2001-2011
<![CDATA[This research is conducting analysis of digital land images using digital image processing techniques. The main purpose of the research is to classify soil fertility based on two-dimensional RGB colored digital soil images. The research is done by extracting features and shapes from the soil image. The research uses methods of segmentation, extraction, and identification against digital soil images. This research is carried out in three stages. The first phase of this research is image pre-processing which begins with the conversion of RGB color image to Grayscale then color conversion to binary which subsequently performs noise reduction with the method Three-layer median filter. The second stage is a process that is divided into the first two stages, namely the process of segmentation by grouping RGB color images into L*a*b which is continued by clustering using the K-means clustering method. The second is the extraction of characteristics of the soil image which is characteristic of shape and texture. The final stage is the identification of soil images that are clustered into two types: fertile soils and unfertile soil. The study achieved an accuracy of 85% which could accurately identify 20 images while inaccurately classifying 5 images out of a total of 25 input images.]]>
<![CDATA[Rancang Bangun Media Pembelajaran Pengenalan Hewan Dalam Bahasa Inggris Pada Siswa Sekolah Dasar Berbasis Mikrokontroler ]]>
<![CDATA[J, Shafa Adillah]]>;
<![CDATA[Retno Devita, Retno Devita]]>;
<![CDATA[Putra, Ondra Eka]]>;
<![CDATA[Rianti, Eva]]>
<![CDATA[ Jurnal Teknik dan Teknologi Tepat Guna Vol. 4 No. 1 (2025): Jurnal Teknik dan Teknologi Tepat Guna ]]>
Publisher : <![CDATA[Riset Sinergi Indonesia ]]>
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<![CDATA[The development of digital technology is driving innovation in education, particularly in creating interactive and engaging learning media for elementary school students. This research aims to design and build a microcontroller-based English learning media for first-grade elementary school students. This system integrates an Arduino Mega 2560 as the main controller, connected to various components such as touch sensors, RFID, push buttons, LEDs, LCDs, and a DFPlayer module to support interaction and learning. This system offers two main features: visual and audio animal name recognition, and an interactive quiz mode that tests students' understanding by providing multiple-choice questions based on the story. When students touch an animal image, the system displays the animal's name in English and Indonesian, along with pronunciation sounds and descriptions. The quiz can be accessed using an RFID card, and students answer using the touch sensor. Feedback is displayed via LEDs and audio from the speaker. Test results indicate that the system operates well and is responsive, and is able to increase students' interest in English lessons. This research is expected to provide an alternative solution for enriching foreign language learning methods at the elementary level with a simple yet effective technological approach.]]>
<![CDATA[Decision Support System Using the SMART Method in Determining the Status of Contract Employees from Permanent Employees ]]>
<![CDATA[Nitami, Dian]]>;
<![CDATA[Rianti, Eva]]>;
<![CDATA[Pratiwi, Mutiana]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i3.105
<![CDATA[Employee performance assessment is a way to determine the abilities of each employee. The assessment is carried out to obtain materials for developing the company's human resources. The process of appointing contract employees to permanent positions is still not effective, this results in doubt in decision making which allows errors to occur. In this research, a system for decision making will be built, where this research uses the Multi Attribute Rating Technique (SMART) method. The SMART method is a multi-criteria decision making technique that compares one criterion with another. The data used in this research uses 3 factors and 12 employee data to be selected. For assessment using the SMART method based on criteria and weights, a score above 80 is declared a pass to become a permanent employee. Research using the Simple SMART method can help the Ibnu Sina Islamic Hospital in West Pasaman in managing the data or criteria used in determining the status of contract employees, so that they can determine employees who are in accordance with the quality and quantity of human resources needed and as a basis for making decisions. become a permanent employee.]]>
<![CDATA[Information System Design and Application of the Critical Path Method (CPM) Determining the Optimal Time for Implementing Activities ]]>
<![CDATA[Graceae, Marsaa Noverdi]]>;
<![CDATA[Rianti, Eva]]>;
<![CDATA[Kurnia, Hezy]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i3.108
<![CDATA[Information is the result of processing data from one or various sources, which is then processed so that it provides value, meaning and benefits. In the modern era, the use of technology plays a very important role as a means of information and promotion, especially in the field of websites in conveying information. The activity implementation plan carried out by the institution to determine the time period for completing activities still uses estimates as a guide. These estimates result in uncertain completion times. This is of course a problem in the implementation of activities, because late completion times result in time differences with the initial planned targets. Based on these conditions, the delivery of information is felt to be less than optimal because it does not yet have a website page, so the author feels that the West Sumatra Center for Public Policy Studies (PSKP) requires an information system that is able to support activities and provide information about the institution to be more effective and efficient. Then a schedule of the activity implementation process is needed from start to finish. One method that can be used for scheduling is the critical path method (CPM). This method is part of the work network method which is oriented towards determining schedules and estimating them which are deterministic (certain). With this CPM method, all activity processes are in accordance with the initial target]]>
<![CDATA[EXPLANATION OF FEATURE EXTRACTION IN FACE RECOGNITION USING VIOLA JONES ALGORITHM ]]>
<![CDATA[Devita, Retno]]>;
<![CDATA[Rianti, Eva]]>;
<![CDATA[Yuhandri, Muhammad Habib]]>;
<![CDATA[Putra, Ondra Eka]]>
<![CDATA[ JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 3 (2025): Juni 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran ]]>
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DOI: 10.33330/jurteksi.v11i3.3844
<![CDATA[Face recognition has become a common thing used in the field of surveillance and security in computer technology and image devices. This study aims to identify the usefulness of a person's face on 3 test images. This study examines the methods of cropping techniques, image enhancement through intensity measurement, and histogram analysis to improve the contrast and distribution of image intensity. In addition, the Viola-Jones algorithm is used to detect key facial features such as eyes, nose, and mouth. The results of the analysis are then applied in the feature evaluation stage, where usually between facial features are applied to measure the ratio of facial proportions. Furthermore, the comparison of proportional ratios of several images was analyzed using bar graphs and line graphs to evaluate the trend and stability of facial proportions. The results showed the best ratio stability with a smaller variation of the on-off ratio of image 2 which is 0.4762 pixels to 0.4983 pixels. Image 2 is the most ideal for face measurement systems based on geometric ratios because it provides more consistent and visible results.]]>
<![CDATA[Implementation of a Rabbit Disease Diagnosis Expert System using the Forward Chaining and Certainty Factor Method ]]>
<![CDATA[Mayang Sajida]]>;
<![CDATA[Eva Rianti]]>;
<![CDATA[Sepsa Nur Rahman]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i3.78
<![CDATA[An expert system is a system that adopts the expertise of an expert in a particular field into the system. Rabbits are one of the animals that are close to humans and have high body adaptability. However, rabbits are not free from the threat of disease. Treatment requires more costs so we need a way to find out the disease and the solution so that we can take the necessary actions. To overcome this, an expertise media was created that can be accessed by rabbit owners online using the Forward Chaining and Certainty Factor methods. The expert system must be able to work under uncertainty, so the Forward Chaining (FC) and Certainty Factor (CF) methods were added to overcome this problem. Forward Chaining is a decision making method that is commonly used in expert systems and the Certainty factor method is a method to prove the uncertainty of an expert's thinking. The system diagnosis results display possible diseases suffered by rabbits and provide treatment solutions for diseases with the largest CF values. With the calculation results, the level of confidence information based on the table is Definitely Yes. The accuracy of the system output is proven from the results of system validity with experts.]]>
<![CDATA[Gastric Diagnosis Expert System using the Fuzzy Mamdani Method ]]>
<![CDATA[Rozizah Dwi Gusni]]>;
<![CDATA[Eva Rianti]]>;
<![CDATA[Firna Yenila]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i4.87
<![CDATA[The stomach is one of the important digestive organs in humans. Gastric disease is inflammation of the stomach lining caused by microorganisms, this disease is caused more by Helycobacterpylori bacteria, apart from being caused by bacteria, stomach disease can also be caused by irregular lifestyle and eating patterns. Diseases that attack the stomach are still considered trivial by the general public, so not many people know about stomach diseases and the symptoms that exist. This is what causes people to be reluctant to see a doctor when they suffer from pain that attacks the stomach. When a disease attacks the stomach, people only use experience or intuition to cure it, so it is not treated properly. By using an expert system, patients can save time going to the hospital and can improve service to patients. The results of the Mamdani fuzzy logic calculations require a report on the possibility of stomach disease suffered by the user/patient, examples of possibilities are small, somewhat large and large based on the highest value results. It is hoped that with this system, it will be easier for patients to diagnose gastric diseases to carry out prevention and early diagnosis and treatment.]]>
<![CDATA[Certainty Factor Method for an Expert System for Orthopedic Disease Diagnosis ]]>
<![CDATA[Intan Savilla]]>;
<![CDATA[Eva Rianti]]>;
<![CDATA[Firna Yenila]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i4.88
<![CDATA[Health is an important thing in human survival, including bone disease. Some people think that bones are passive, dead tissue, but they are not. Bones and skeleton are a very important part of orthopedics. Bones are not only a framework that strengthens the body but are also part of the structure of joints, as protection for the body, where the ends of muscles are attached. One of the diseases that is widely felt in society is bone disease. Bone disease is a condition that damages the skeleton and makes bones weak and susceptible to fractures. The high rate of diseases that attack the bones is caused by the conditions and behavior of society, such as stress, lack of exercise, wrong diet. Another cause is also ignorance and lack of knowledge about bone disease itself. By using an expert system, patients can save time going to the hospital, because the system replaces experts in their field, especially chiropractors. The method that will be used in this research is the Certainty Factor Method. The results obtained later are diagnostic results based on the symptoms entered and issued in the form of decisions and percentages. The diagnosis results identified Cervical Spondylosis (Nerve Pain) with a confidence level of 89.60%. It is hoped that this expert system will make it easier for patients to diagnose bone disease and carry out initial treatment in treating the disease.]]>
<![CDATA[Decision Support System for Determining the Best Pesticide for Rice Plants Using the Moora Method ]]>
<![CDATA[Resvi Ansiska]]>;
<![CDATA[Eva Rianti]]>;
<![CDATA[Wifra Safitri]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v9i4.89
<![CDATA[completed quickly and performed effectively and efficiently, especially in the agricultural sector. Pesticides are chemical or organic substances that farmers use to protect rice plants from pests , so farmers often have difficulty choosing pesticides that will be used to prevent rice pests. In fact, the large number of pesticide products on the market and their very different advantages make farmers confused in determining pesticide choices. The Harapan Jaya farmer group always provides counseling and training regarding the management of agricultural products, therefore the farmer group continues to maintain rice production to avoid pests and there is no shortage of rice plants at this time by using pesticide products on the market. Decision Support Systems (DSS) are systems that are able to provide problem solving abilities and communication abilities for problems with structured and unstructured conditions. The method in the decision support system is Multi Objective Optimization on the basis of Ratio Analysis (MOORA). The results obtained from this calculation method are Rodenticide with a value of 0.288 which is ranked first and the fifth rank is Insecticide with a value of 0.047. By implementing a decision support system using the MOORA method, it is hoped that it will help select interconnected outputs, because the decision results are based on criteria data in determining the best pesticide for rice plants]]>
<![CDATA[Application of an Expert System with the Breadth First Search (BFS) Method in Diagnosing Areca Plant Diseases ]]>
<![CDATA[Ferry Juliandri Pane]]>;
<![CDATA[Eva Rianti]]>;
<![CDATA[Hari Marfalino]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i2.102
<![CDATA[Current technological developments are growing very quickly and have produced a lot of software or systems that can make things easier for humans. Continuous scientific progress drives extensive technological development. One form of information technology known is an information system. One popular type of information system is an expert system, which can be used to improve various services. An expert system is a program that combines human knowledge into a computer to help solve problems that are usually solved by experts. This research aims to identify gaps in research that has been conducted, as well as encourage the development of new ideas and increase capabilities in utilizing existing research resources. Areca nut is a high agricultural resource so it has many benefits in the pharmaceutical industry. . The method that will be used in this research is Breadth First Search (BFS). The algorithm carries out the search process on all nodes that are at the same level or hierarchy one by one. An algorithm that performs a wide search that visits nodes in preorder, that is, visits a node first. There are 16 data on areca plant diseases here and have 33 symptoms which will be processed using the Breadth First Search Method. By diagnosing areca plant diseases using an expert system, it is hoped that we can find more in-depth information about diseases in areca palm trees.]]>
