TEPIAN
The purpose of TEPIAN is to publish original research studies directly relevant to computer science. TEPIAN encompasses the full spectrum of information technology and computer science, including information system, hardware technology, intelligent system, and multimedia applications. TEPIAN welcomes original papers, reviews and commentaries. Suggestions for special issues covering selected topics may be considered. TEPIAN is devoted to publish manuscripts that advance the knowledge of information technology and communication beyond state-of-the-art. Authors may contact the Editor-in-Chief in advance to inquire about whether their research topic is suitable for consideration by TEPIAN. Through an Open Access publishing model, TEPIAN provides an important forum where computer science researchers in academic, public and private arenas can present the latest results from research on information technology and communication in a broad sense.
Articles
225 Documents
<![CDATA[Expert System for Diagnosis of Pepper Plant Diseases Using Certainty Factor and Naïve Bayes Methods ]]>
<![CDATA[Karmila]]>;
<![CDATA[Eny Maria]]>;
<![CDATA[Annafi' Franz]]>
<![CDATA[ TEPIAN Vol 2 No 4 (2021): December 2021 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v2i4.744
<![CDATA[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.]]>
<![CDATA[Geographic Information System of Building Auction Mapping of Bank Rakyat Indonesia Inc. Bontang Branch Office ]]>
<![CDATA[Milatus Sholihah Mukarromah]]>;
<![CDATA[Syafei Karim]]>;
<![CDATA[Nia Kurniadin]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.684
<![CDATA[Bank Rakyat Indonesia Inc. is one of the largest state-owned banks (BUMN) in Indonesia which has a mission to serve micro, small and medium enterprises to improve the community's economy. To develop the business world so that economic growth can be maintained, a large amount of funds is needed to meet the needs in the form of credit facilities. At the time of credit, if the debtor is unable to pay off the debts to the bank, the bank as the creditor will conduct an auction process for the Debtor Guarantee. From this research, a webGIS is presented with the data used is data taken by collecting building data at auction through interviews, collecting data coordinates and distributing questionnaires, from 35 respondents a score of 70.21 was obtained where the Adjective Rating was in a good position with acceptable level of acceptance. The purpose of this study is to determine the location of the auction house building and make it easier for users to know the place in detail.]]>
<![CDATA[Design and Build Web and API on “Absenplus” with Face Recognition using Deep Learning Method ]]>
<![CDATA[Afada Wafri Arugia]]>;
<![CDATA[Eko Junirianto]]>;
<![CDATA[Eny Maria]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.738
<![CDATA[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.]]>
<![CDATA[Expert System for Diagnosis Papaya Plant Disease with Backward Chaining and Dempster Shafer ]]>
<![CDATA[Veronika]]>;
<![CDATA[Suci Ramadhani]]>;
<![CDATA[Ida Maratul Khamidah]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.767
<![CDATA[Papaya plant (Carica papaya L.) it is one of leading commodities in East Kalimantan. Papaya is widely cultivated in Samarinda, Balikpapan, and Samboja. However, farmers are often faced with the problem of papaya plant diseases that can damage and inhibit the growth of papaya plants and fruit. To solve this problem, an expert system was created to diagnose diseases in papaya plants. This expert system was created using two methods, namely Backward Chaining Reasoning and to determine the level of certainty in the diagnosis of papaya plant diseases, the Dempster Shafer method was used. The excepted result of making this expert system is to build an expert system application that can diagnose web-based diseases in papaya plants so that it can make it easier for farmers to consult and get the right solution to overcome various disease problems that attack papaya plants.]]>
<![CDATA[Expert System Diagnosis Disease of Oil Palm Plants Using Forward Chaining and Dempster Shafer ]]>
<![CDATA[Suriyati]]>;
<![CDATA[Eny Maria]]>;
<![CDATA[Annafi Franz]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.773
<![CDATA[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.]]>
<![CDATA[Information System of Muara Badak Village Culinary Sales Using Laravel Web-Based ]]>
<![CDATA[Trikoyat]]>;
<![CDATA[Yulianto]]>;
<![CDATA[Eny Maria]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.813
<![CDATA[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.]]>
<![CDATA[Decision Support System for Selection of the Superior Mango Seeds Using Web-based Analytical Hierarchy Process (AHP) Hybrid Simple Additive Weighting (SAW) Method ]]>
<![CDATA[Noviana]]>;
<![CDATA[Muslimin B]]>;
<![CDATA[Suci Ramadhani]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.852
<![CDATA[Indonesia is a horticultural country that agricultural production, one of which is mango production. Mango (Mangifera indica L) is one of the leading horticultural commodities in Indonesia. The use of high-quality seeds has made an impact influence on the productivity of farming, to increase the productivity of farming, it is very necessary to provide superior seeds for farmers so that farmers can increase yields and quality of production. With so many manga seeds available, a Decision Support System is needed or often called a Decision Support System (DSS). DSS is a model-based system consisting of procedures in processing and considerations to assist farmers (users) in making decisions on the selection of high-quality manga seeds. In this research, the method used is the Analytical Hierarchy Process (AHP) in searching for the weighting criteria and the Simple Additive Weighting (SAW) method in performing alternative rankings. The results of this study are to make it easier for farmers and the community in choosing superior manga seeds.]]>
<![CDATA[IoT Prototype System of Flood Detection at Housing Pondok Gede ]]>
<![CDATA[Fadhlam Bihamdi]]>;
<![CDATA[Nurwijayanti KN]]>
<![CDATA[ TEPIAN Vol 3 No 2 (2022): June 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i2.1005
<![CDATA[Indonesia is a country with a tropical climate. Entering the rainy season, a number of areas along the river have the potential to be affected by flooding, especially the Pondok Gede Permai residential area. Flooding is a big problem for the affected community, it makes the surrounding community panic, because the flood comes suddenly without knowing the time, seeing conditions like this then a tool is made to give an early warning of the arrival of flooding from the river, so that the community around the Pondok housing complex is made. the big game is more alert to flooding. In the Industrial 4.0 era, the Internet of things has developed rapidly, so flood early warning tools take advantage of IoT technology. The purpose of this study is to provide a programmatic framework for flood early warning. The tool framework that will be created is in the form of an IoT-based programmatic flood location model. By utilizing the NodeMCU ESP8266 as a control, transistors as sensors to identify water levels, Flow meter sensors as water release seekers, LEDs and LCDs as pointers, Buzzer as the highest level warning and the Blynk Application to observe river water levels via Android phones so that the people of Pondok Gede Permai especially those near the riverbanks are already alert. The prototype design of this Automatic Flood Detection System produces information that is sent by the NodeMCU ESP8266 to the Blynk Application as an information receiver. an error rate of 7.85 percent with a time span of 4 minutes 3 seconds when the water reaches its highest level and has notifications set within the Blynk App.]]>
<![CDATA[Modelling Open Access Catalog (OPAC) Success using DeLone and McLean models in Library Agriculture Polytechnic of Samarinda ]]>
<![CDATA[Dani Wahyudi Wahyudi]]>;
<![CDATA[Suswanto]]>;
<![CDATA[Reza Andrea]]>
<![CDATA[ TEPIAN Vol 3 No 3 (2022): September 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i3.688
<![CDATA[Online Public Access Catalog (OPAC) is one of the systems used and utilized by the Samarinda State Agricultural Polytechnic library to provide information regarding the availability and collection of books owned by the library. The purpose of this study was to determine the success in implementing OPAC using the Delone and McLean Model. Consists of seven variables, namely information quality, system quality, service quality, usage, user convenience, interest in using, and net benefits. The data obtained from this study were obtained from the distribution of questionnaires using Google Forms and in writing, the research sample was obtained by 40 respondents. The results obtained in this study are in the form of conditions for each variable in the Delone and McLean Model. The user satisfaction and net benefit variables are in the high category, while the information quality and system quality variables are in the fairly high category. From the results obtained, it is necessary to prioritize improvements to the indicators owned by the Delone and McLean Model variables with the average percentage of each indicator which is below the average percentage of all indicators.]]>
<![CDATA[“Absenplus” Face Recognition and Geolocation Based on Android Application ]]>
<![CDATA[Firmansyah]]>;
<![CDATA[Eko Junirianto]]>;
<![CDATA[Eny Maria]]>
<![CDATA[ TEPIAN Vol 3 No 3 (2022): September 2022 ]]>
Publisher : <![CDATA[Politeknik Pertanian Negeri Samarinda ]]>
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DOI: 10.51967/tepian.v3i3.734
<![CDATA[The attendance system is an absolute requirement for attendance in various activities. In an agency or company, attendance becomes input for the administration department in assessing employee attendance. The manual attendance process is also less effective for employees or students where there is a possibility of fraud in carrying out attendance activities. The android “Absenplus” attendance application that implements face recognition and geo location methods that integrates with the web api which serves as an integration bridge between request and response data. With the application of face and location recognition methods, it can overcome the possibility of fraud in carrying out attendance. It is expected from this research that every attendance activity can be done easily and can view the attendance history of attendance from users of the “Absenplus” application. From the results of testing and implementation of face and location recognition methods into the “Absenplus” application system, it is declared valid. It can be seen from the test results that the correlation value of significance is greater than the value of r-table (0.532). It can be concluded that the “Absenplus” application can make it easier for users to carry out attendance activities.]]>
