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TEPIAN
Published by Politeknik Pertanian Negeri Samarinda
ISSN : 27215350     EISSN : 27215369     DOI : -
Core Subject : Science,
Computer Science & IT
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol 2 No 2 (2021): June 2021" : 7 Documents clear
Web-Based Letter Management Information System in East Kalimantan Plantation Department Istiqomah; Suswanto; Ida Maratul Khamidah
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.092 KB) | DOI: 10.51967/tepian.v2i2.253

Abstract

The constraints that exist in a system that is run manually, include the large amount of data that must be processed, the complexity in processing data, the limited time used in processing data, and various types of data. Likewise, in an office of the Plantation Service in East Kalimantan Province, processing correspondence is still done manually. This application uses a system by entering the type of letter to find a list of incoming and outgoing mail to make it easier for operators at the Plantation Service in East Kalimantan Province. In this program, the operator must enter first to access data from incoming messages and announcements. Therefore, this application is expected to improve the previous system and make work easier so that it can shorten the time so that work efficiency increases and makes it easier for operators to process data.Based on the results of observations in the form of an interview with an employee of the Data Information Service Center (PPID) at the Plantation Office of East Kalimantan Province, it was stated that there was no system or application. Correspondence services at the Plantation Office of East Kalimantan Province have been running well, but all processes are still manual and use a lot of paper. This application is also a form of concern for paper, where paper usage is starting to be reduced. All data and documentation are presented in digital or paperless form.Referring to the results of these observations, we need a web media capable of displaying correspondence with detailed information. With this web, it is expected to be useful for employees. In addition, it can assist the East Kalimantan Provincial Plantation Office in providing correspondence information.With the Correspondence Management Information System website, it is hoped that it will be useful for employees at the Plantation Office of East Kalimantan Province in processing letter data so that they can work effectively and efficiently in the process
Decision Support System for Teacher Decision Following Teacher Professional Education (PPG) SMA / SMK East Kalimantan Province with Web-Based Smart Method Dana Aulia Rahman; Heny Pratiwi; Hanifah Ekawati
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.715 KB) | DOI: 10.51967/tepian.v2i2.339

Abstract

Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province is higher education after an undergraduate education program that prepares students to have jobs with special skills requirements to become teachers. The problems in registration that occur at the East Kalimantan Provincial Education and Culture Office are: The calculation of the test data is still calculated manually, so it is necessary to build a Decision Support System for Determination of Participants in the Professional Teacher Education (PPG) for SMA / SMK in East Kalimantan Province using the Web-based SMART Method. The data collection method uses the observation method and the system development method uses the method of the decision support system, namely the intelligence, design, choice, and implementation stages. Because this method has clear, practical stages. Then the system testing is White Box and Beta Testing. With the existence of a Decision Support System for Determining Who Participates in Professional Education for Teachers (PPG) for SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the test results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) at the High School / Vocational School Level of East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. With the existence of a Decision Support System for Determining Who Participates in Professional Education for Teachers (PPG) for SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. With the existence of a Decision Support System for Determining Who Participates in Professional Teacher Education (PPG) at the SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. can handle the calculation process once the test has been executed. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. can handle the calculation process once the test has been executed. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application.
Application of the Finite State Machine Method in the Desktop-Based “Heroes Of Dawn” RPG Turn-Based Game Muhammad Fachri Sanjaya; Heny Pratiwi; Pitrasacha Adytia
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i2.348

Abstract

FSM (Finite State Machine) is a method of implementing artificial intelligence that is applied to make a decision on NPC (Non Player Character). The application of FSM that is often encountered is to form an NPC with intelligence, so that the NPC can respond to the player's character so that the NPC seems to be able to think. Games have various types (genres) and are increasingly varied in line with the development of hardware and software technology. Writing will focus on games with the Role Playing Game genre or often called RPG. Games in general use Artifical Intelligence in their systems to make the game more interesting to play. Artifical Intelligence is usually applied to NPC (Non Player Character) / Enemy in the game or opponents who must be defeated, one of the applications of Artifical Intelligence in the game to be used in this research is the Finite State Machine (FSM) method.
Implementation of Random Shuffle Algorithm In "Hangbit" Education Games Amelia Yusnita; Pajar Pahruddin; Theana Dwi Aprillita
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.886 KB) | DOI: 10.51967/tepian.v2i2.352

Abstract

Learning Media for Carnivorous Animals, Herbivorous Animals, Omnivorous Animals with PC-based Problem Randomization, an application designed to help students understand the introduction of carnivorous, herbivorous and omnivorous animals. The purpose of this study was to assist teachers in teaching lessons on introduction to carnivores, herbivores and omnivores, which consisted of animation, sound and text. This application was built using SwishMax4 and with the Shuffle Random Algorithm on learning questions so that it does not become a monotonous and predictable game. This study produces a multimedia application for learning advice on the introduction of carnivorous, herbivorous and omnivorous animals, so this learning medium is for children aged 7-10 years. The results of the study were tested on students of SD Negeri 010 Samarinda City by demonstrating the program and trying its application. The results of the making of this learning media are .Swf.
Employee Acceptance Decision Support System Using The Smart Method (Case Study on Association of The Indonesian Electrical and Mechanical Contractors Samarinda City) Aldy Septian Derry; Bartholomius Harpad; Yunita Yunita
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.4 KB) | DOI: 10.51967/tepian.v2i2.357

Abstract

Decision Support System (DSS) is a system that can assist someone in making accurate and targeted decisions. Many problems can be aasolved by using SPK, one of which is the acceptance of employees at the Gaklimdo Samarinda Association using the SMART (Simple Multi Attribute Rating Technique) method. The purpose of this research is to produce a Decision Support System for Employee Admission Using the SMART Method (Case Study of the Gaklimdo Association of Samarinda City) with the hope that the selection of employees will be carried out objectively. By using the PHP programming language and the database used is MySql. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is the creation of a decision support system to make employee decisions that are accepted, and not accepted as employees. Users can input prospective employee data, criteria data and sub-criteria data. Then the system will look for a solution using the SMART (Simple Multi Attribute Rating Technique) method. After the decision is obtained, the system will display the decision.
Nodemcu Based Prototype Tool for Noise Detection Florentinus Nino; Azahari; Awang Harsa Kridalaksana
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.477 KB) | DOI: 10.51967/tepian.v2i2.358

Abstract

Application of Prototype A tool for detecting noise based on NodeMCU is a prototype that can be used to detect sound noise and provide a warning if the sound exceeds the reasonable threshold that humans hear. The function of this system is to detect sound noise using the Analog Sound sensor V2. Then the data from the Analog Sound sensor V2 will be displayed in the form of a Led and if it has passed the threshold that humans hear, it will trigger turning on the buzzer as a warning and send automatically the decibel value, status and also if we want to check how much noise there is, we can type / telegram the sensor . Based on the data analysis carried out, Basically programming for building Prototype Tool for detecting noise based on NodeMCU using the C programming language with the help of Arduino IDE software and monitoring it using LED and Telegram. This research was made in order to facilitate controlling the noise in the environment.
Android App Rating Classification on Google Play Store Using Random Forest Algorithm with SQL Server Preprocessing Raissa Maringka; Aulia Khoirunnita; Rodney Maringka; Erna Utami; Kusnawi
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.483 KB) | DOI: 10.51967/tepian.v2i2.404

Abstract

The increasing number of Android applications available on the Google Play Store with the benefits the developers get has attracted the attention of many Android application developers. To benefit from developing Android apps, one way is to know the characteristics of highly rated apps on the Google Play Store. This research will investigate the features of size, installs, reviews, type (free / paid), rating, category, content rating, and price on applications on the Google Play Store to determine the characteristics of high-rated applications. This study uses the Random Forest algorithm to identify the most influential features in high ranking applications on the Google Play Store. At the preprocessing stage, this research uses data cleaning methods and data reduction using SQL Server. This study uses feature important to find out the attributes that most influence the high ranking of Android apps on the Google Play Store. To classify high-ranking applications, the authors use 8-fold cross validation using the Random Forest algorithm and get better results than the Gradient Boost, K-NN, and Decision Tree algorithms with an accuracy of 83%. The results of the Random Forest algorithm also have better performance than the algorithm from the previous research conclusions, with a 0.8% increase in accuracy. To classify high-ranking applications, the authors use 8-fold cross validation using the Random Forest algorithm and get better results than the Gradient Boost, K-NN, and Decision Tree algorithms with an accuracy of 83%. The results of the Random Forest algorithm also have better performance than the algorithm from the previous research conclusions, with a 0.8% increase in accuracy. To classify high-ranking applications, the authors use 8-fold cross validation using the Random Forest algorithm and get better results than the Gradient Boost, K-NN, and Decision Tree algorithms with an accuracy of 83%. The results of the Random Forest algorithm also have better performance than the algorithm from the previous research conclusions, with a 0.8% increase in accuracy.

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