Garuda - Garba Rujukan Digital

Web-Based Expert System to Diagnose Gastroenteritis in Children in Pariaman District Hospital using the Forward Chaining Method Vicky Ariandi; Hezy Kurnia; Aulia Fitrul Hadi
Jurnal KomtekInfo Vol. 6 No. 1 (2019): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Gastroenteritis is a digestive system disorder in the form of inflammation of the digestive system involving the stomach and small intestine. Gastroenteritis is usually called a stomach bug, gastro, or stomach virus. Although it has no connection with influenza, it is often referred to as stomach flu. Gastroenteritis is the most common digestive problem in children. Severe gastroenteritis will cause dehydration and electrolyte imbalance, this is caused by body fluids lost through diarrhea or vomiting. This system is a prototype and made as simple as possible, so that users can easily use it and redesign this expert system for other types. Because Because there are still many parents who do not know the symptoms of a disease. So an expert system was made that could diagnose early in gastroenteritis. By using a web-based forward chaining method, using this expert system, Gastroenteritis can be identified by looking at symptoms that can explain and describe whether a child is suspected of having a Gastroenteritis.

Optimization artificial neural network classification analysis model diagnosis Gingivitis disease Vicky Ariandi; Musli Yanto; Annisak Izzaty Jamhur; Firdaus Firdaus; Riandana Afira
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1648-1656

Gingivitis is a disease that can be caused by the buildup of bacteria and plaque caused by leftover food. This disease can attack anyone, especially children who are not aware of maintaining dental and oral health. This study aims to build and optimize the classification analysis model for the diagnosis of Gingivitis. The classification analysis model was built using the artificial neural network (ANN) method which was optimized using fuzzy logic and the multiple linear regression (MRL) method. Optimization with fuzzy aims to develop a pattern of rules in the detection. The MRL method is also used as a process of measuring analysis patterns to ensure the analytical model presents maximum results. The results study indicate that the optimization of fuzzy and MRL methods provides excellent output. These results are based on the fuzzy output which can provide a pattern of 40 rules. The MRL method is can present the level of correlation of each analysis variable with a significant output having an average value of 94.2%. Based on the results of this study, the analysis model that is optimized with the fuzzy logic method and MRL contributes to maximizing the process of diagnosing Gingivitis.

ANALYSIS OF TOURISM COMPETITIVENESS IN THE CITY OF PARIAMAN USING DEVIDE AND CONQUER METHOD Vicky Ariandi; Muhammad Afdhal; Hezy Kurnia
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The department is one of the strategic departments to increase local income. Income from Tourism activities contribute to employment and promote employment in these fields Sub-industry of tourism. In this study, the subjects of tourism are untouchables The Regency is one of the areas with high-value tourism potential. In this study, the competitiveness of the tourism industry can be measured Use four indicators to measure competitiveness World Tourism Organization (WTO), namely Human Tourism Index (HTI), Infrastructure Development Index (IDI), Environmental Index (EI), Open Index (OI)). Secondary school data. The analytical method used in this study is tourism competitiveness index. Analysis shows that the 8th tourism industry competitiveness Indicator variable IDI (Infrastructure Development Index) environmental indicators (EI) indicates that this value is highly competitive, while other indicators have .low Competitiveness.

DSS for Selection of Exemplary Employees Using the Simple Additive Weight (SAW) Method Vicky Ariandi; Muhammad Ikhlas; Riandana Afira
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Anagement of human resources (HR) from an office affects many aspects that determine the success of the work of the Village Office. One of the most important things in HR management in an office is the selection of the best employees to spur employee morale in improving their dedication and performance. However, in reality, the Manggung Village Office has not been optimal in the implementation of the selection of the best employees, this is due to the unavailability of media that processes employee assessments and provides recommendations in selecting the best employees. The Decision Support System can adjust to the Manggung Village Office in optimizing the selection of the best employees. The purpose of this research is to produce the best employee information based on the needs of the Manggung Village Office. Decision Support Systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or office. The method used is Simple Additive Weighting (SAW), the calculation of this method is to use the result of the largest value that will be selected as the best alternative, the calculation will be appropriate if the selected alternative meets the predetermined criteria. This decision support system for selecting the best employee was developed using the PHP programming language (Hypertext Processor File), as well as the MySQL database as the database server. The results of this study indicate that the best employee ranking with the highest score

Decicion Suport System Pemilihan Pestisida Terbaik Pada UD. Pupuk Jasa Tani Menggunakan Metode Weighted Product Hezy Kurnia; Vicky Ariandi; Annisak Izzaty Jamhur
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 1 (2023): Januari 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i1.659

Pesticides are materials to kill pests and diseases in plants. Pesticides are chemicals that are commonly used in agriculture, to kill pests and diseases that exist in agricultural crops. Based on the problems that exist in the community, researchers are trying to help the community to be able to identify the right type of pesticide for the plants that are being planted. Artificial intelligence is transferring the intelligence possessed by humans into a computer machine so that it is able to behave which is considered as intelligent as human abilities. An expert system is a branch of artificial intelligence that transfers the expertise of an expert into a system so that it can imitate the way of thinking of an expert in solving a problem. This expert system application produces output in the form of the best value for selecting the right pesticide based on the criteria inputted by the user and produces conclusions in the form of the best pesticide decision results based on the results of system analysis. The method used in this expert system is the weighted product method which was built using the PHP programming language and MySQL database.

ANALYSIS OF TOURISM COMPETITIVENESS IN THE CITY OF PARIAMAN USING DEVIDE AND CONQUER METHOD Vicky Ariandi; Muhammad Afdhal; Hezy Kurnia
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The department is one of the strategic departments to increase local income. Income from Tourism activities contribute to employment and promote employment in these fields Sub-industry of tourism. In this study, the subjects of tourism are untouchables The Regency is one of the areas with high-value tourism potential. In this study, the competitiveness of the tourism industry can be measured Use four indicators to measure competitiveness World Tourism Organization (WTO), namely Human Tourism Index (HTI), Infrastructure Development Index (IDI), Environmental Index (EI), Open Index (OI)). Secondary school data. The analytical method used in this study is tourism competitiveness index. Analysis shows that the 8th tourism industry competitiveness Indicator variable IDI (Infrastructure Development Index) environmental indicators (EI) indicates that this value is highly competitive, while other indicators have .low Competitiveness.

ANALYSIS OF TOURISM COMPETITIVENESS IN THE CITY OF PARIAMAN USING DEVIDE AND CONQUER METHOD Vicky Ariandi; Muhammad Afdhal; Hezy Kurnia
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The department is one of the strategic departments to increase local income. Income from Tourism activities contribute to employment and promote employment in these fields Sub-industry of tourism. In this study, the subjects of tourism are untouchables The Regency is one of the areas with high-value tourism potential. In this study, the competitiveness of the tourism industry can be measured Use four indicators to measure competitiveness World Tourism Organization (WTO), namely Human Tourism Index (HTI), Infrastructure Development Index (IDI), Environmental Index (EI), Open Index (OI)). Secondary school data. The analytical method used in this study is tourism competitiveness index. Analysis shows that the 8th tourism industry competitiveness Indicator variable IDI (Infrastructure Development Index) environmental indicators (EI) indicates that this value is highly competitive, while other indicators have .low Competitiveness.

DSS for Selection of Exemplary Employees Using the Simple Additive Weight (SAW) Method Vicky Ariandi; Muhammad Ikhlas; Riandana Afira
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Anagement of human resources (HR) from an office affects many aspects that determine the success of the work of the Village Office. One of the most important things in HR management in an office is the selection of the best employees to spur employee morale in improving their dedication and performance. However, in reality, the Manggung Village Office has not been optimal in the implementation of the selection of the best employees, this is due to the unavailability of media that processes employee assessments and provides recommendations in selecting the best employees. The Decision Support System can adjust to the Manggung Village Office in optimizing the selection of the best employees. The purpose of this research is to produce the best employee information based on the needs of the Manggung Village Office. Decision Support Systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or office. The method used is Simple Additive Weighting (SAW), the calculation of this method is to use the result of the largest value that will be selected as the best alternative, the calculation will be appropriate if the selected alternative meets the predetermined criteria. This decision support system for selecting the best employee was developed using the PHP programming language (Hypertext Processor File), as well as the MySQL database as the database server. The results of this study indicate that the best employee ranking with the highest score

Sales and Inventory Prediction with the EOQ Method based on Single Exponential Smoothing Forecasting Alfin Andika Putra; Vicky Ariandi; Pradani Ayu Widya Purnama
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.66

Along with the development of the era where technology is increasingly sophisticated as it is today, the needs are also increasing. Science and Technology also experienced drastic progress. Forecasting forecasting is a method for making estimates of future data by involving the use of past data in a systematic model form, and the forecasting method used is Single Exponential Smoothing. Planning for this EOQ method can minimize the occurrence of out of stock so that processes in a business are not disrupted and are able to save costs incurred due to the efficiency of inventory at the place of business concerned. Application of Supply Chain Management with data mining systems on CV. Amifa Keluarga Lestari can simplify the management of raw materials by implementing an SCM system which can reduce excess stock purchases. With the Single Exponential Smoothing method, you can predict the number of best sales for the following month in one period by looking at the smallest error. The calculation results show that the most economical order in one order is 1291 kilograms, and the total storage cost is Rp. 154,919 per Kilogram

Pengembangan Media Modul Pada Materi Penggunaan Array Mata Pelajaran Pemrograman Dasar Kelas XI Multimedia Di SMA Negeri 2 Gunung Talang Solok Prawiro, Radius; Ariandi, Vicky; Afira, Riandana
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 2 No 2 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v2i2.1234

Based on the results of a preliminary study, namely the results of interviews and observations with Basic Programming subject teachers. The researcher found that in the main material of Using Arrays in the Basic Programming subject, the teacher was the only main and only source in the class, especially in the basic programming subject. This makes it difficult for students to receive the material without guidance from the teacher. If in this process the teacher continues to use the same method, it will have an impact on the development of students in the class which includes the level of student understanding and the student development process regarding the material being taught. The purpose of developing module media is to create an effort to solve learning problems through needs analysis, so that through this media it is hoped that it can increase the achievement of learning objectives and improve student learning outcomes. This media development uses the ADDIE development model. The trial implementation was carried out in several stages, namely validation of material experts, media experts, and trials on students. The data collection method used structured interviews, questionnaires, and tests. The data analysis technique used the P formula which was used to measure percentages, then for the test instrument using the formula Rpbis and T-test in Class XI Multimedia at SMA Negeri 2 Gunung Talang Solok

Title

Found 30 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 30 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 30 Documents
Search