Garuda - Garba Rujukan Digital

Design and Build Web and API on “Absenplus” with Face Recognition using Deep Learning Method Afada Wafri Arugia; Eko Junirianto; Eny Maria
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

This research has background cause have not maximum yet of attendance’s system for now. “Absenplus” is an application attendance android based which has two features of system such as face recognition and geolocation. With technology who can help for developing “Absenplus” with design and build web and API as a web server who belong to integration into “Absenplus”’s application. So therefore the author decides to named “Design and Build Web and API on “Absenplus” using Deep Learning’s methods” to give a integration database to “Absenplus” apps. This research will take advantages of computing library of deep learning named TensorFlow and Keras. Besides, this research uses MTCNN for detection face image, Facenet Model to help model gets the extraction feature, and SVM for classification model image train and test. In geolocation’s system use geofence library to help development function geolocation’s system. This research also use Laravel framework in design and build web and API. Throughout this research give the results on “Absenplus” that user can use attendance online with face recognition and geolocation. In this result of face recognition, it can be conclude that average of predict probability is 67% with light room normally.

Expert System for Identifying Weeds on Oil Palm Plantations Using a Web Based Forward Chaining and Dempster Shafer Method Hastuti; Eny Maria; Annafi Franz
TEPIAN Vol 3 No 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

an expert system for identifying weeds on oil palm plantations using a web-based forward chaining and dempster shafer method. Palm oil is one of the plants that has its own charm in the community because the commodity of palm oil plays an important role in the Indonesian economy, therefore demand for palm oil continues to increase. Along with the increasing demand for palm oil in the world market, oil palm plantations have experienced many disturbances, one of which is weeds which are very detrimental to oil palm farmers, so oil palm farmers are trying to control it. Therefore, the purpose of this research is to build a system application that can be used by farmers to provide information related to weeds that attack oil palm and their control solutions.

Expert System for Diagnosis of Pepper Plant Diseases Using Certainty Factor and Naïve Bayes Methods Karmila; Eny Maria; Annafi' Franz
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Development expert system for diagnosis of pepper plant diseases using certainty factor and naïve bayes methods. Pepper is one type of plant that has long been traded on the European market. So that increasing the quality and quantity of pepper production is the main demand. However, diseases in pepper plants are also familiar to be found so that they can be detrimental to farmers and besides that, agricultural workers who are experts in the field of pepper plant diseases are still limited. Therefore, to overcome this problem, an expert system application is designed where this system can provide information about diseases that attack pepper plants, then provide suggestions or solutions to deal with these diseases. The purpose of this research is to build and design an expert system that is useful for determining pepper plant diseases and to apply certainty factor and nave Bayes methods in providing answers to the results of the consultation. The results of this study are expected to make it easier for users, especially farmers or farm workers in overcoming diseases in pepper plants.

Expert System Diagnosis Disease of Oil Palm Plants Using Forward Chaining and Dempster Shafer Suriyati; Eny Maria; Annafi Franz
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

This research is motivated by the problem of inhibiting crop production from oil palm plants, namely disease. Diseases of oil palm plants can be caused by viruses, fungi and, the host plant or an unfavorable environment. The process of diagnosing oil palm plant diseases requires expertise, knowledge and experience. Therefore, this study aims to build an expert system that can diagnose 9 types of plant diseases in oil palm from 29 symptoms based on the knowledge of 1 expert with the forward chaining method of reasoning and the web-based Dempster Shafer calculation method. The testing technique used is black box testing, validation testing, testing and theoretical calculations. The results of the black box test state that the expert system has 100% conformity in terms of functionality. The results of the expert validation test state that the expert system has 100% conformity. The results of the theoretical calculation test state that the expert system calculations are in accordance with the results of manual calculations. The results of the test with a questionnaire based on 32 respondents said it went very well. The results of this study provide the information needed by farmers to be able to diagnose and increase knowledge about how to overcome the problems faced by their oil palm plantations even without direct expert assistance in order to improve quality and stabilize the amount of production according to farmers' expectations.

Information System of Muara Badak Village Culinary Sales Using Laravel Web-Based Trikoyat; Yulianto; Eny Maria
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

The world of technology is developing very fast. In line with this, the fast-growing business growth and development is driven by various supporting factors including promotions and advertising boards. As one of the villages, Muara Badak Village has many tourist attractions to visit this village. One of the biggest attractions is the culinary field and beach tourism, so there are so many culinary places that are very diverse. Therefore, the purpose of this research is to utilize existing knowledge in college to build an application, namely information media that provides sales services through culinary applications by looking at newcomers and tourists who do not understand the culinary specialties of Muara Rhino Village and view an environment that can be free. from the Covid-19virus through online buying and selling so researchers are trying to make the application. The results of this study are the birth of an application called MB FOOD not only to take advantage of the application but how to make a bridge between consumers and sellers to make it easier to connect people around, by looking at problems and technological developments now how to find ideas that are useful for the community. It is hoped that this research can be used as a reference for the next time and the progress of future technological developments by looking at people's current income so that the government can see people's income and participate in developing the MB FOOD application to help each other and learn together further technological developments.

System Monitoring and Controlling Agricultural Activities with Arduino-Based Internet of Things Muhammad Syahril Ramadhani; Eko Junirianto; Eny Maria
TEPIAN Vol 3 No 4 (2022): December 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Agriculture is one of the most important economic sectors in Indonesia.aHowever, the Center for IndonesianaPolicy Studies (CIPS) estimates that agricultural production will decline by 1.64% to 6.2% due to supply chain disruptions affected by the Corona pandemic. But on the other hand, during the corona pandemic as it is today, the information technology sector, mainly digital, which requires internet access, has experienced a rapid increase. In this modern era, an innovation that utilizes the latest technology is needed to create an innovation that can increase the potential of the plantation sector towards industry 4.0. Therefore, a will be developed in this research Arduino-based Internet of Things monitoring and control system can provide information about soil pH, soil moisture, air humidity, air temperature, and wind speed from plants in real-time, and control water pumps for watering. The Arduino technology can make it easier for farmers to control the conditions in plants so plants can grow and develop optimally.

Tourist Information Center (TIC) Application for Department of Tourism – East Kalimantan Dhanita Almira; Eny Maria; Annafi Franz
TEPIAN Vol 4 No 1 (2023): March 2023
Publisher : Politeknik Pertanian Negeri Samarinda

- The activities of tourism information centers in Department of Tourism of East Kalimantan have not been exposed, which are still manually using brochure sheets, YouTube or Instagram to develop tourism in various fields in order to boost regional income from various potentials they have. Information systems are needed in order to produce the right and clear information in order to help tourists or tourists in their trips. The Tourist Information Center application in East Kalimantan Province is an idea that is expected to provide solutions to solve these problems. By using two methods of data collection, namely the interview and observation methods at agencies. The construction of the system used in this study uses the System Development Life Cycle (SDLC) with a waterfall model or called a waterfall, which is started by the stage of literature study, problem analysis, design (design), system implementation and testing. With the Tourist Information Center application, it can be used as a reference for tourists to vacation in East Kalimantan and provide information about tourism or lodging in East Kalimantan.

Design and Build Web and API on “Absenplus” with Face Recognition using Deep Learning Method Afada Wafri Arugia; Eko Junirianto; Eny Maria
TEPIAN Vol. 3 No. 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i2.738

This research has background cause have not maximum yet of attendance’s system for now. “Absenplus” is an application attendance android based which has two features of system such as face recognition and geolocation. With technology who can help for developing “Absenplus” with design and build web and API as a web server who belong to integration into “Absenplus”’s application. So therefore the author decides to named “Design and Build Web and API on “Absenplus” using Deep Learning’s methods” to give a integration database to “Absenplus” apps. This research will take advantages of computing library of deep learning named TensorFlow and Keras. Besides, this research uses MTCNN for detection face image, Facenet Model to help model gets the extraction feature, and SVM for classification model image train and test. In geolocation’s system use geofence library to help development function geolocation’s system. This research also use Laravel framework in design and build web and API. Throughout this research give the results on “Absenplus” that user can use attendance online with face recognition and geolocation. In this result of face recognition, it can be conclude that average of predict probability is 67% with light room normally.

Expert System for Identifying Weeds on Oil Palm Plantations Using a Web Based Forward Chaining and Dempster Shafer Method Hastuti; Eny Maria; Annafi Franz
TEPIAN Vol. 3 No. 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i1.743

an expert system for identifying weeds on oil palm plantations using a web-based forward chaining and dempster shafer method. Palm oil is one of the plants that has its own charm in the community because the commodity of palm oil plays an important role in the Indonesian economy, therefore demand for palm oil continues to increase. Along with the increasing demand for palm oil in the world market, oil palm plantations have experienced many disturbances, one of which is weeds which are very detrimental to oil palm farmers, so oil palm farmers are trying to control it. Therefore, the purpose of this research is to build a system application that can be used by farmers to provide information related to weeds that attack oil palm and their control solutions.

Expert System Diagnosis Disease of Oil Palm Plants Using Forward Chaining and Dempster Shafer Suriyati; Eny Maria; Annafi Franz
TEPIAN Vol. 3 No. 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i2.773

This research is motivated by the problem of inhibiting crop production from oil palm plants, namely disease. Diseases of oil palm plants can be caused by viruses, fungi and, the host plant or an unfavorable environment. The process of diagnosing oil palm plant diseases requires expertise, knowledge and experience. Therefore, this study aims to build an expert system that can diagnose 9 types of plant diseases in oil palm from 29 symptoms based on the knowledge of 1 expert with the forward chaining method of reasoning and the web-based Dempster Shafer calculation method. The testing technique used is black box testing, validation testing, testing and theoretical calculations. The results of the black box test state that the expert system has 100% conformity in terms of functionality. The results of the expert validation test state that the expert system has 100% conformity. The results of the theoretical calculation test state that the expert system calculations are in accordance with the results of manual calculations. The results of the test with a questionnaire based on 32 respondents said it went very well. The results of this study provide the information needed by farmers to be able to diagnose and increase knowledge about how to overcome the problems faced by their oil palm plantations even without direct expert assistance in order to improve quality and stabilize the amount of production according to farmers' expectations.

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