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Perbandingan Metode K-Nearest Neighbors dan Naïve Bayes Classifier Pada Klasifikasi Status Gizi Balita di Puskesmas Muara Jawa Kota Samarinda Moch. Rizky Yuliansyah; Muslimin B; Annafi Franz
Adopsi Teknologi dan Sistem Informasi (ATASI) Vol. 1 No. 1 (2022): Adopsi Teknologi dan Sistem Informasi (ATASI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/atasi.v1i1.25

Abstract

Klasifikasi adalah salah satu pembelajaran yang paling umum di dalam data mining. Klasifikasi dapat didefinisikan sebagai bentuk dari analisis data yang digunakan untuk mengekstrak model yang akan digunakan untuk memprediksi label kelas. Status Gizi adalah ukuran keberhasilan dalam pemenuhan nutrisi untuk anak yang diindikasikan oleh berat badan dan tinggi badan anak. Status gizi juga dapat didefinisikan sebagai status kesehatan yang dihasilkan oleh keseimbangan antara kebutuhan dan masukan nutrisi. Metode K-Nearest Neighbors (KNN) merupakan sebuah metode untuk melakukan klasifikasi berdasarkan kedekatan lokasi (jarak) suatu data dengan data yang lain. Prinsip kerja K-Nearest Neighbors (KNN) adalah mencari jarak terdekat antara data yang dievaluasi dengan (K) tetangga terdekatnya dalam data pelatihan. Metode Naïve Bayes Classifier (NBC) merupakan sebuah metode klasifikasi yang memanfaatkan teori probabilitas untuk memprediksi probabilitas di masa depan berdasarkan pengalaman di masa sebelumnya. Adapun tujuan dari penelitian ini adalah untuk melakukan perbandingan hasil Klasifikasi Status Gizi Balita dengan menggunakan metode K-Nearest Neighbors dan Naïve Bayes Classifier. Dari perbandingan performa antara metode K-Nearest Neighbors dan Naïve Bayes Classifier menggunakan f1 score sebagai patokan utama performa klasifikasi. Didapatkan hasil bahwa metode K-Nearest Neighbors unggul pada f1 score dengan selisih cukup besar yakni 13,42 %. Sehingga, dapat disimpulkan bahwa pada masalah klasifikasi status gizi balita metode K-Nearest Neighbors mengungguli Naïve Bayes Classifier.
Web-Based Employee Payroll Information System at Bank Perkreditan Rakyat Ingertad Bangun Utama Ltd Suhesti Handayani; Annafi' Franz; Budi Rachmadani
TEPIAN Vol 4 No 1 (2023): March 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.001 KB) | DOI: 10.51967/tepian.v4i1.1406

Abstract

This research is motivated by salaries that have not been maximized at the company Bank Perkreditan Rakyat Ingertad Bangun Utama Ltd because it still keeps documents in hard file form. With this web-based employee payroll information system, it is easier for admins to access salary data by accessing the web. The tool used to describe the system model is an Entity Relationship Diagram (ERD). To implement this payroll information system, supporting components are needed in order to work properly. These components use Laravel programming framework and store database in MySQL and use Talwind CSS design to make design easier. The results of research and applications can overcome the problems that exist in companies that do not yet have a payroll application and can be used to process salaries in the company.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.081 KB) | DOI: 10.51967/tepian.v4i1.1431

Abstract

- 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.
Decision Support System for Selection of Productive Land in Corn Using the SMART Method Yunike Andrayani; Muslimin B; Annafi Franz
TEPIAN Vol 4 No 1 (2023): March 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.597 KB) | DOI: 10.51967/tepian.v4i1.1644

Abstract

Indonesia is one of the developing countries which has characteristics in one sector in agriculture, which is one source of income and improves the economy of farmers, but farmers in processing agricultural land are still not maximized as a means of productive plant land. This productive land requires a technology that can assist in land selection, the purpose of this research is to produce a Decision Support System for the Selection of Productive Land in Corn Plants Using a Web-Based Smart Method, and the author wants to implement the Smart method into the selection of productive land for corn plants that is safe in this system requires data that includes data criteria and alternatives. The results of the data are processed using intelligent methods so that it will produce alternative recommendations that have the highest value. this research can help coordinators of agricultural extension centers assist farmers in managing land to be productive.
Web and Application Program Interface (API) Design “Parmon” Modern Parking Application Aco Wahyudi; Eko Junirianto; Annafi Franz
TEPIAN Vol. 2 No. 3 (2021): September 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i3.181

Abstract

Samarinda city is one of the cities with large local revenue potential in the large parking fee sector. This is evidenced by the quite fast increasing number of users of two-wheeled and four-wheeled vehicles. But due to the increase in vehicle users in Samarinda it has not had a significant impact on the parking fee sector. This is because there is no clear record of every parking transaction. In this case the parking lot is open or roadside. The collection of parking fees in Samarinda there are still many obstacles faced by UTPD parking management, there are still many illegal parking spaces managed by irresponsible elements. One technology that is currently quite developed is the web. With the web, all data and information can be distributed effectively and efficiently and contain and display various information that can be accessed by various devices. Based on the problems and technological developments that have been presented, an idea emerged about the need to create a web-based information system to store and record transactions at any time and create an API for supporting applications. It is expected from this study that every transaction for drivers and drivers can be recorded so that the government can clearly know the income and the amount of levy tax from parking that must be paid by each parking attendant in the “Parmon” application.
License Plate Recognition Integrated with Android and Mobile Vision Muhammad Rizky Adinugroho; Eko Junirianto; Annafi' Franz
TEPIAN Vol. 2 No. 3 (2021): September 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i3.503

Abstract

License plate is an important thing on vehicle. License plate is an identity of vehicle. All of the information about type, year, tax, and owner of vehicle. The development of technology especially in digital image processing and mobile android technology. There are so many android applications that used digital image processing known as optical character recognition. The purpose of this paper is to make an android application that can recognize license plate with mobile vision library. The research method of this paper is waterfall, starts with integrating android with mobile vision library and doing test to find out the accuracy of mobile vision. Designing an application models with flowchart diagram and unified modelling language.
Information System Public Administration Services Parianum Village, Muara Bengkal Sub-District Amin Rais; Suswanto; 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.v3i1.691

Abstract

Seen from the population administration service in the village still uses a manual system for processing written data and archiving methods as data storage. Therefore, the purpose of this research is to provide better changes to community services by building an accurate and reliable registration and civil registration information system in parianum village, because in the application of community data storage is carried out directly from outlet services to databases by processing data through the website. Waterfall method or often called waterfall model provides a sequential or sequential software lifeline approach starting from analysis, design, coding, testing and supporting stages. Statistical Product and Service Solutions (SPSS) is an application used to perform advanced statistical analysis, data analysis with machine learning algorithms, string analysis, as well as big data analysis that can be integrated to build a data analysis platform. Pearson correlation or often called Correlation Product Moment is a statistical test tool used to test the associative hypothesis (relationship test) of two variables when the data is interval or ratio scale. The results of this study are easy to manage community data in Parianum village.
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

Abstract

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

Abstract

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 Data Population in Gunung Panjang Samarinda Seberang Sartina Ayu Lestari; Annafi Franz; Emil Riza Putra
TEPIAN Vol. 3 No. 4 (2022): December 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i4.1407

Abstract

The development of technology today is getting faster. With the sophistication of today's technology, we can facilitate the work to be done. We can find the information we need and we can expand the communication network using advanced technology. Currently, population data collection in the government system can be said to be ineffective. Population data collection with a manual system can cause inefficient processing of population data and administrative services will take a longer time. This study uses two methods of data collection, namely: interviews (interviews) and observation. The system development used in this research is the Waterfall model, which starts with the analysis, design, coding, testing, and maintenance stages. The Gunung Panjang Village Population Data Information System was created using several programming languages, Hypert Text Markup Language (HTML), Hypertext Preprocessor (PHP), and Cascading Style Sheet (CSS). and MySQL. It can be concluded that the results of this study are an Information System for Population Data Collection in Gunung Panjang Village which can be used for processing population data and as a means of delivering information on Gunung Panjang Village through the website.