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INDONESIA
Jurnal Ilmiah Universitas Satya Negara Indonesia
Published by Universitas Satya Negara Indonesia
ISSN : 19795246     EISSN : 30908736     DOI : -
Core Subject : Economy, Education, Social, Engineering,
Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences
Jurnal Ilmiah Satya Negara Indonesia (JISNI) is a multidisciplinary journal dedicated to advancing scientific knowledge through research that explores developments across various faculties and study programs at Satya Negara Indonesia University. JISNI seeks to provide an esteemed platform for scholars, researchers, and practitioners to present innovative and impactful contributions to their respective fields of study. The journal’s scope encompasses, but is not limited to, disciplines such as Social and Political Sciences, including legal studies, international relations, and communication science; Engineering and Information Technology, encompassing informatics engineering, information systems, and environmental engineering; Economics and Business, with a focus on accounting, management, business strategy, and finance; and Fisheries and Marine Sciences, addressing the utilization of fishery resources, aquaculture, and marine conservation. JISNI invites submissions based on empirical research, case studies, and theoretical investigations that contribute to the advancement of each scientific discipline. All submitted articles undergo a rigorous peer-review process to ensure the highest standards of academic quality and scholarly impact.
Arjuna Subject : Umum - Umum
Articles 48 Documents
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FRAMING CONSTRUCTION OF HABIB RIZIEQ CASE NEWS IN TEMPO MAGAZINE IN 2017 Risqi Inayah Dwijayanti
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 2 (2024): May - October 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/cqy69a92

Abstract

This research discusses the framing of news done by Tempo magazine on 23 - 29 January 2017 issue in Habib Riziek case report which utilize positioning of religion figure in mass media as a tool of selling (commodity) to be able to invite public opinion and sense of community sentiment towards the character. The analytical methods used were Zhongdang Pan and Gerald M. Kosicki. In analyzing, this method uses four structures that consist of, Structure Syntax is how journalists arrange events, Structure Scripts is how journalists tell or tell events into news form, Thematic Structure is how journalists express the views of events into propositions, sentences or relations Between sentences that make up the text as a whole, and the Rhetorical Structure that is the issue of Rizieq's interest in building his name that was vacuum among the wider community and in the mass media.
COMPARISON OF PROCESSED VEHICLE WASH WASTE USING SILICA SAND AND ACTIVATED CARBON MEDIA Arry Setiawan; Charles Situmorang
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/502zsp23

Abstract

Human activities are generating a lot of waste that can degrade the quality of the environment, oneof which is the activity of washing motorcycles and cars. Especially in the city of Karachi is growingrapidly and increasing the number of vehicles. So that the proliferation of motor and car washactivities. Therefore the need for handling of waste disposal of motor and car washing. One of thewastewater treatment of motor and car wash discharges is by filtration process with many usablemedia. For this writing the author uses silica sand media and activated carbon used in filtrationreactor. The goal is to reduce the levels of BOD, COD, TSS and pH. In this study the authors use areactor filtration by comparing two media between silica sand media and activated carbon with eachmedia distinguished height of 10 cm, 15 cm and 20 cm. The purpose of the treatment is to knowwhich media is better at lowering levels of pollution. In addition the authors want to know whetherthere is an influence of height in lowering levels of pollutants.
CUSTOMER CREDITWORTHINESS ANALYSIS USING ALGORITHMS (CASE STUDY: KOPERIA) Dela Sekardiana
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/et0qjf35

Abstract

Cooperative management in Koperia (Cooperative Citizens of Komplek Gandaria) to provide credit to customers is still based on process that is not objective and many still have problems. Therefore it is difficult in determining creditworthiness which is often experienced by cooperative management. The problems that arise in the cooperative is the payment of installments that often experience jams because of frequent delinquent. Where if many customers are delinquent in payment it will disrupt the company's financial system. Implementation of data mining in terms of data mining context is expected to provide a solution to determine the extension of creditworthiness to customers, by applying the process of classification on data mining using Algorithm C4.5, using data set attributes, Amount of Income, Total Balance, Amount of Loans, and Needs. The results of this research is to apply C4.5 algorithm to determine the feasibility of lending customers on the cooperative based on the attributes that have been determined to determine how to determine in the process of granting credit with the Attributes of Needs, Number of Loans, Total Income and Amount of Loans.
UTILIZATION OF CASSAVA SKIN WASTE (Manihot utilissima) IN AFFECTING FE LEVELS IN WATER Indah Pratiwi; Yusriani Sapta Dewi
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/fq2ej930

Abstract

This research is purposed to determine adsorbtion of activated carbon which is made from cassava peel to reduce heavy metals such as ion Fe in the water. The process is consist two main stages which is carbonisation and activation. The carbonization process was carried on different temperature such as 300, 400, 500, 550, 600 ˚C. Then a resulted 5 samples was soaked in 30% NaOH liquid for 1 hours. As the result the lowest water degree is 3,63% which is furnaced by 500˚C. Testing activated carbon absorption to heavy metals such as ion Fe using atomic adsorption spectrofotometric (AAS). The result showed that the most optimum adsorption is activated carbon that furnaced by 600 ˚C with value Effectiviy 51,97%
DESIGN OF AN EXPERT SYSTEM FOR IDENTIFICATION OF SHALLOT DISEASES USING BAYES THEOREM METHOD Michael Sitorus
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jyg51w25

Abstract

Disease is one of the risks that must be experienced by onion farmers. Disease on the red onion gives a lot of harm to farmers. Therefore it is very necessary tool to diagnose onion disease. Systematics is a good way to deal with this problem. The developed application is an expert system used to diagnose onion disease using Bayes Theorem Method. Data on onion diseases can be from the Agricultural Extension Agency located in Suko Village, Maron District, Probolinggo District. Diagnosis can be done by choosing the symptoms that are already available. Each symptom has a density to the disease which is then calculated using the calculation method. This program is created using C# (C-Sharp) language in Microsoft Visual Studio 2008 with MySQL software database. The disease-resistant application is fast and can deliver results. Results of disease diagnosis. Dental disease, treatment, countermeasures and level of trust are the computations of the Bayes Theorem Method.
APRIORI DATA MINING ALGORITHM TO DETERMINE RESTAURANT MENU ASSOCIATIONS Riama Sibarani; Akmal Kurniawan
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/betr7h03

Abstract

Data mining is a process to dig or mine data from piles of data that have been for years. The pile of data that is considered waste can be used and used to provide an added value for the company. Some data mining algorithms include Apriori Algorithms. The Ariori algorithm is done by integrating the market basket analysis fiture and generating a list of menu packets from existing transactions into an application by analyzing a set of data stored in the transaction data. The combination of the menu on the transaction will result in the association menu which is a new menu package. This analysis is expected to be utilized by restaurant owners as a tool to support culinary business at Soto Ngawi Restaurant DepokJawa Barat.
KNOWLEDGE-BASED SYSTEM OF AUTISM SPECTRUM DISORDER IN EARLY CHILDHOOD Silmi Hamidah; Kiki Kusumawati
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/4xtfz351

Abstract

Autism sufferers that occur in early childhood not only those who have physical abnormalities, even many of them who suffer from autism physical appearance perfect, but when consulted to experts are diagnosed with autism. There is also a parent not knowing that their child has autism because they do not have knowledge about Autism itself. With this knowledge-based system that is part of artificial intelligence that studies how to adopt the way an expert thinks and reason in solving a problem. In this research will be designed a knowledge-based system to diagnose Autism Spectrum Disorder disorder. By applying knowledge-based system with intermediary media this system is made by using PHP programming language and MySQL database. The reasoning of this knowledge based system application uses advanced inference or ForwardChaining techniques. Where in forward chaining begins with initial information as part of the initial symptoms and moves forward to match the next information to find the information in accordance with the rules, then will conclude in the form of information types Autism Spectrum Disorder disorder and solutions in the form of therapy in accordance with the advice of child psychologists. Using the Best First Search technique in the process for conclusions or the final consultation. This system can be accessed whenever and wherever they are or parents who children with symptoms have grouped into the Autism Spectrum Disorder section.
IMPLEMENTATION OF K-NEAREST NEIGHBOR FOR COLOR CLASSIFICATION: IMPLEMENTASI K-NEAREST NEIGHBOR UNTUK KLASIFIKASI WARNA Riama Sibarani; Muhamad Saefudin; Sukarno Bahat Nauli
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 4 No. 2 (2026): Mei - October 2026
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jisni.v4i2.124

Abstract

The human eye's ability to identify colors has subjective limitations and is influenced by fatigue and ambient lighting conditions. This study aims to design and test a computer vision-based automatic color detection system using the Python programming language and the OpenCV library. The research method used was a laboratory experiment with a quantitative approach. The system was developed using the Euclidean distance algorithm to calculate the proximity input Red, Green, and Blue (RGB) pixel values to a reference database containing 865 standard color names. Testing was carried out using a dataset under various lighting conditions.The test results showed high effectiveness, with an average Macro Average Precision of 97.12%, Recall of 97.11%, and Total System Accuracy of 97.11%. The conclusion of this study is that the Python-based color detection system with the using the Euclidean distance algorithm is valid and effective for standardizing color identification, with the note that optimization or normalization of lighting in dim environments is necessary.

Page 5 of 5 | Total Record : 48

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