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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 7 Documents

Search results for , issue "Vol 2 No 4 (2021): December 2021" : 7 Documents clear

Information Systems Stock Inventory in CV Kencana Motor using Laravel Frame Mukti Ali; Yulianti; Emil Riza Putra
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

The system for recording stock inventory at CV Kencana Motor, which is done manually, causes errors in recording stock inventory. These errors make the stock item report inaccurate with the original. This study aims to design an income information system and recording stock goods at CV Kencana Motor. The design of this system is made using Data Flow Diagram (DFD) and Contek Digram and Flowchart. The results of this study indicate, this information system built can overcome errors in the calculation of sales transactions, purchases and can overcome the inventory data collection at CV Kencana Motor. Information system at CV Kencana Motor can help in making reports and searching for data more quickly and accurately when needed.

Design and Build a Modern Parking Application Based on Android Ilham Ilyas; Eko Junirianto; Annafi Franz
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Parking is a non-moving condition of a vehicle that is not temporary. Problem associated parking di Samarinda is disparity between revenue targets with the realization of revenue from parking fees. The performance of roadside parking management is not optimal yet, where there are still many illegal parking officers. While their official parking attendants tend to be dishonest and do not hand over parking fee tickets to motorists , this study offers a solution that might solve the above problems by creating an android -based parking application made for parking attendants , this application is used by parking attendants to recorded all parked vehicles and stored directly on the web service . The Apps is made using Android Studio and Postman to test the API provided. The results of this study are expected to reduce the impact of disparities between revenue targets and revenue realization from parking fees.

Implementation of Multi Objective Optimization on the Basic of Ratio Analysis Method in Decision Support System for Hope Family Program Assistance Recipients in Kelinjau Ulu Village Arsita; Salmon; Heny Pratiwi
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

The research was conducted to be able to create a decision support system for beneficiaries of the Family Hope Program or “Program Keluarga Harapan (PKH)” with the Multi Objective Optimization Method On The Basic Of Ratio Analysis (Moora), which later if this research is successful it can assist aid managers in making decision making for program aid recipients Family Hope “PKH”. This research was conducted at the office of the Family Hope Program “PKH” assistance manager in Kelinjau Ulu Village, Muara Analog District, the data collection method used was interviews which asked questions related to “PKH” beneficiaries. By means of observation, namely making direct observations at the “PKH” Assistance Manager office. In this study, the system development method used is the decision support system development method. The model with the decision support software used is the Visual Basic.NET programming language, the database used by Microsoft Access. The final result of this research is in the form of a Decision Support System for beneficiaries of the Family Hope Program “PKH” Using the Multi Objective Optimization Method on the Basic of Ratio Analysis (Moora) which can facilitate more precise selection of “PKH” aid recipients.

Analysis of Indonesian Public Opinion Sentiment on Policy on Twitter Social Media “PPKM” Using K-Nearest Neighbor Aulia Khoirunnita; Kusnawi
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

COVID-19 or Coronavirus disease 2019 is currently a pandemic that is spreading very quickly throughout the world, including Indonesia. Various handling and policies have been carried out, one of which is called “PPKM” policy or what can also be called the Enforcement of Restrictions on Community Activities issued by the Indonesian government. “PPKM” is currently one of the topics that is often discussed by the public, one of which is on the Twitter social media platform. The existence of opinions given by the community, it is necessary to have a sentiment analysis. Sentiment analysis is an analytical process obtained from various social media platforms and the internet. The aim is to find out how the public's sentiment towards the implementation of “PPKM” policies in Indonesia is through tweets and comments on the Twitter social media platform. In this study, the process of analyzing public opinion regarding the “PPKM” policy will be carried out by classifying opinions into 3 sentiments, namely positive, negative or neutral. Classification is done using the K-Nearest Neighbor algorithm. The K-Nearest Neighbor (K-NN) algorithm is a classification method for a set of data based on previously classified data learning. Included in supervised learning, where the results of the new query instance are classified based on the majority of the distance proximity of the categories in K-NN. The results of data preprocessing and sentiment classification, in the first test positive sentiment 37.6% of 261 data, negative sentiment 65.9% of 636 data and neutral sentiment 9.

Geographic Information System of Contraceptives Users in Samarinda Seberang Sub-District Muhammad Renaldi Arianda; Ida Maratul Khamidah; Nia Kurniadin
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Birth Control “Keluarga Berencana” (KB) is a government program designed to balance the needs and population. Birth Control is an attempt to measure the number of children and the desired birth spacing of children. Therefore, the Government launched a program or method to prevent and delay pregnancy. Therefore, the purpose of this study is to create a geographic information system for data collection of contraceptive users based on a website that is useful as a place to store data on contraceptive users and information maps as a benchmark for the achievement of Birth Control instructors in the area of Samarinda opposite. The results of this study that the existence of this geographic information system website, besides being able to assist the public in obtaining information about contraceptives, can also assist the work of Birth Control instructors in the regions, especially in the Samarinda Seberang area in recording Birth Control users in their working areas and as a step to help reduce paper use and modernization from the old system.

Geographic Information System of Dengue Hemorrhagic Fever Area Mapping in the City Of Samarinda Tarsius Aloysius Pedor; Syafei Karim; F.V Astrolabe Sian Prasetya
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Dengue Hemorrhagic Fever (DHF) is still one of the main public health problems in Indonesia. This disease can threaten public health, efforts to prevent its spread need to be done. As the first step for prevention, it is necessary to do the mapping. Environmental factors have a major influence on the increase and transmission of mosquito-borne diseases such as DHF. The most influential factors include the physical environment consisting of rainfall, air humidity, and population density. The city of Samarinda itself has not maximized the DHF control program, because the government is less effective in mapping the DHF-vulnerable areas based on indicators of increasing cases over the last few years using spatial maps. Mapping the DHF area with the spatial method can maximize the implementation of the DHF control program, the implementation of the fogging program, and other DHF control programs. So to get this information, a geographical information system (GIS) is needed or commonly known as a geographic information system (GIS). This web-based geographic information system application for mapping dengue areas can display detailed information such as the address of the Public Health Center that provides information on the number of cases that occur in each sub-district and a polygon map showing which sub-district has the most cases.

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.

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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

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

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