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TEPIAN

tepian
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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 96 Documents

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Decision Support System Selection of Achievement Employees in PT PLN (PERSERO) UP3 Samarinda using Simple Multi-Attribute Rating Technique (SMART) Method Ita Arfyanti; Ekawati Yulsilviana; Muhammad Iqbal
TEPIAN Vol 2 No 1 (2021): March 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.99 KB)

The purpose of this research is to produce a Decision Support System for Selection of Outstanding Employees at PT PLN (Persero) UP3 Samarinda by using the SMART (Simple Multi Attribute Rating Technique) method with the hope that the selection 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 decision support system for selecting outstanding employees at PT PLN (Persero) UP3 Samarinda, is a system designed to assist in making decisions in selecting the right outstanding employees using the help of the SMART method, using the feasibility study system development stage, designing, selecting and making a support system. Decision. The result of this research is the creation of a decision support system to make decisions for high performing employees. Users can input 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

Prototype Smart Security on Doors using RFID with Telegram Monitor NodeMCU Based Mardianus; Andi Yusika Rangan; Salmon
TEPIAN Vol 2 No 1 (2021): March 2021
Publisher : Politeknik Pertanian Negeri Samarinda

The application of prototype smart security tools on doors using RFID with a NodeMCU-based telegram monitor in the process of opening the door aims to provide security and comfort and make work easier to make it faster, more effective and efficient. Where it can be used by lecturers and assistant lecturers who have been registered as staff and admin of the Computer Laboratory and the results of the track record will be monitored by the Head of the STMIK Computer Laboratory, Widya Cipta Dharma. This prototype was built using the C programming language with the Arduino IDE (Integrated Development Environment) application, and the system in the form of WEB using the PHP Native programming language using the Sublime Text 3 application and using the Mysql database and using the Telegram application as a medium for receiving notifications in the form of messages to be received by head of the Computer Laboratory. Based on the data analysis carried out above, it is concluded that the application of Smart Security on doors using RFID with a NodeMCU-based Telegram monitor is much faster, effective, efficient and safe and easy to use.

Improving Database Quality by Applying Consistency Aspects to Naming Fields and Tables Raissa Maringka; Aulia Khoirunnita; Rodney Maringka; Ema Utami; Kusnawi
TEPIAN Vol 2 No 1 (2021): March 2021
Publisher : Politeknik Pertanian Negeri Samarinda

The database is one of the benchmarks that affect the quality of information systems. An effective information system certainly has a quality database. Aspects that can be measured to determine the quality of the database are aspects of truth, consistency, range, level of detail, completeness, minimalism, ability to integrate and readability. One of the mistakes that are often encountered in databases is related to the consistency aspect. Consistency aspects that are not paid much attention to its application can lead to data conflicts due to ambiguity and data duplication. This study aims to improve the quality of the database by applying consistency to the naming of fields and tables. A naming method to produce consistency in standardization was applied in this study.

Android Based Heart Rate Detection Tools with Arduino Nano Hidayatul Muttaqin; Ita Arfyanti; Wahyuni
TEPIAN Vol 2 No 1 (2021): March 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Android-based Heart Rate Detector Using an Android-Based Fingerprint Using Arduino Nano at Midwife Dwi Inggrini's Maternity Clinic with the hope of helping and simplifying the medical team in checking the heart rate of pregnant women without having to carry devices that are not portable, improving services and errors due to blackouts PLN electricity. The software development method used is the prototype method which includes data collection, design, prototyping, the testing phase by conducting Black Box and White Box testing. To access this tool the user must first connect the bluetooth android device with bluetooth HC-05 on the Arduino device, after the two Bluetooth devices are connected.

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

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

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

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

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

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

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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Contact Name
Reza Andrea

Contact Email
reza.andrea@gmail.com

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+6285388729017

Journal Mail Official
admin.tepian@politanisamarinda.ac.id

Editorial Address
Kampus Sei Keledang Jl. Samratulangi, Samarinda Kode Pos 75131

Location
Kota samarinda,

Kalimantan timur

INDONESIA

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Reza Andrea

Contact Email reza.andrea@gmail.com

Phone +6285388729017

Journal Mail Official admin.tepian@politanisamarinda.ac.id

Editorial Address Kampus Sei Keledang Jl. Samratulangi, Samarinda Kode Pos 75131

Location Kota samarinda, Kalimantan timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Reza Andrea

Contact Email
reza.andrea@gmail.com

Phone
+6285388729017

Journal Mail Official
admin.tepian@politanisamarinda.ac.id

Editorial Address
Kampus Sei Keledang Jl. Samratulangi, Samarinda Kode Pos 75131

Location
Kota samarinda,

Kalimantan timur

INDONESIA