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Journal of Research and Publication Innovation
Published by CV. PORTALTECH SOLUTIONS
ISSN : 29854768     EISSN : -     DOI : -
Core Subject : Science, Education, Social,
Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other
Journal of Research and Publication Innovation is a multidisciplinary and scientific research journal that publishes research papers, review papers, case reports, case studies, book reviews, theses, dissertation works, etc. Published 4 times a year, every January, April, July and October
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 1,205 Documents
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PENGARUH LINGKUNGAN KERJA FISIK DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN PADA PT BPR NBP 12 TANGERANG SELATAN Sulistia Wati Aliah; Laura Komala
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
Publisher : Journal of Research and Publication Innovation

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Abstract

This study aims to examine the influence of physical work environment on employee performance, the influence of work discipline on employee performance, as well as the simultaneous influence of physical work environment and work discipline on employee performance at PT BPR NBP 12. The research method used is a quantitative approach, with data collected through a questionnaire distributed to the entire population, which consists of 52 employees who also served as the research sample.Data analysis techniques include validity test, reliability test, classical assumption tests, multiple linear regression analysis, correlation coefficient test, coefficient of determination, and hypothesis testing using both t-test (partial) and F-test (simultaneous).The results show that the variable physical work environment (X1) has a significant partial influence on employee performance, as indicated by the value t-count (3.115) > t-table (2.009) and a significance level of 0.003 < 0.05. The work discipline variable (X2) also shows a significant partial influence on employee performance, with a t-count (5.358) > t-table (2.009) and a significance level of 0.001 < 0.05. Simultaneously, the physical work environment and work discipline have a significant influence on employee performance, as demonstrated by the F-count (38.943) > F-table (3.19) and significance level of 0.000 < 0.05.
ANALISIS SENTIMEN PENGGUNA TOKOCRYPTO SEBAGAI SARANA INVESTASI DI MEDIA SOSIAL X MENGGUNAKAN METODE KNN Muhammad Raihan Irzi; Alvino Octaviano
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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The advancement of digital technology has driven a significant transformation in the investment landscape, particularly through digital assets such as cryptocurrency. Tokocrypto, as one of the local crypto exchanges in Indonesia, has become the focus of social media users, especially on X (formerly Twitter), who often express their opinions about the platform. To understand user sentiment, a sentiment analysis was conducted using 1,386 tweets collected with the keywords “investasi tokocrypto” and “cex tokocrypto”, which were then manually filtered to remove irrelevant data, resulting in a final dataset of 600 tweets. The data was collected through a crawling method and cleaned through preprocessing steps including case folding, normalization, tokenizing, stopword removal, and stemming. After labeling, neutral sentiments were removed, leaving 417 tweets categorized into positive and negative sentiments. The classification process was carried out using the K-Nearest Neighbor (K-NN) method, evaluated across various training and testing ratios and different K values. The best-performing model was achieved with K=7 and an 80:20 ratio, producing the highest performance with accuracy = 74%, precision = 75%, F1-score = 78%, and recall = 81%. The results of this study demonstrate the effectiveness of the K-Nearest Neighbor method in sentiment analysis and provide insights into user perceptions of Tokocrypto as an investment platform on social media platform X.
PENGARUH KONTRIBUSI PAJAK DAERAH DAN RETRIBUSI DAERAH TERHADAP PERTUMBUHAN EKONOMI DI PROVINSI BANTEN PADA TAHUN 2019-2023 Ulis Sintia; romenah
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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Abstract

This study aims to determine the effect of regional tax and regional levy contributions on economic growth in Banten Province in 2019-2023. This type of research is quantitative research. The dependent variable used in this study is economic growth and the independent variable in this study is the contribution of regional taxes and regional levies. The research used in this study is the districts/cities in BPS (Central Statistics Agency). Data analysis used is panel data regression analysis. The cross-section data in this study are 8 districts/cities in Banten Province and the time series data in this study are 2019 to 2023 using the saturated sample method. All data used are entered into a computer statistics program, namely E-Views 12 for testing. The results of the study can be concluded that the contribution of regional taxes and regional levies simultaneously does not have a significant effect on economic growth in Banten Province 2019-2023. The results of the study show that the contribution of regional taxes and regional levies significantly partially affects economic growth
PEMBAHASAN INTEGRASI TEKNOLOGI AI DAN BIG DATA DALAM SISTEM INFORMASI MANAJEMEN UNTUK OPTIMALISASI KEPUTUSAN UMKM Haris Usman; Willy Alija Rahman; Manzis Ilham Maulana; Achmad Illliyyin Abdullah; Muhamad Hariri Fadilah; Ines Heidiani Ikasa
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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Digital The development of digital technology in the era of the Industrial Revolution 4.0 has brought significant changes to business management patterns, including in the Micro, Small, and Medium Enterprises (MSMEs) sector. One of the most significant transformations is the implementation of Artificial Intelligence (AI) and Big Data in Management Information Systems (MIS). The integration of these technologies enables faster, more accurate, and data-driven decision-making processes. This study aims to analyze the role of AI and Big Data in enhancing decision-making efficiency and the competitiveness of MSMEs in Indonesia. The method used is a literature review of five scholarly journals discussing the application of information systems, MSME digitalization, and the influence of technology on business decision-making. The research results indicate that the integration of AI and Big Data can enhance operational efficiency, strengthen marketing strategies, and provide in-depth insights for MSME actors to adapt to market dynamics. However, the adoption of this technology still faces challenges such as low digital literacy, limited capital, and uneven technological infrastructure. This study recommends the need for collaboration between the government, financial institutions, and the private sector to expand access and digital training for MSMEs so that digital transformation can proceed inclusively and sustainably.
PENGARUH KUALITAS PRODUK DAN PROMOSI TERHADAP LOYALITAS PELANGGAN PADA MARKETPLACE SHOPEE ( STUDI PADA PRODI MANAJEMEN MAHASISWA SEMESTER 8 UNIVERSITAS PAMULANG, TANGERANG SELATAN ) Arief Maulana Sanny; Sugeng Widodo
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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Abstract

The purpose of this study was to determine the effect of product quality and promotion on customer loyalty in the Shopee marketplace (Study on the management study program of 8th semester students of Pamulang University, South Tangerang) both partially and simultaneously. The type of research in this writing is associative while the type of data in this study is quantitative. The sampling technique using random sampling obtained a sample in this study amounting to 100 respondents. The results of the study showed that product quality (X1) and promotion (X2) have a significant effect on customer loyalty (Y) with the regression equation Y = 2.284 + 0.564 (X1) + 0.610 (X2), The correlation coefficient value or level of influence between the independent variable and the dependent variable is obtained at 0.781 meaning that it has a strong relationship. The determination coefficient value of 0.702 means that the product quality and promotion variables have an effect on customer loyalty variables by 70.2% while the remaining 29.8% is influenced by other factors that were not studied. Hypothesis testing obtained the calculated F value > F table or (160,980 > 3.094), this is also strengthened by the p value < Sig. 0.05 or (0.000 < 0.50). Thus, H0 is rejected and H3 is accepted. This shows that there is a significant simultaneous influence between product quality and promotion on customer loyalty in the Shopee marketplace (Study on the management study program of 8th semester students at Pamulang University, South Tangerang).
PENGARUH KUALITAS PRODUK DAN HARGA TERHADAP KEPUASAAN SERTA IMPLIKASINYA PADA LOYALITAS PELANGGAN DI WARUNG AYAM PENYET ANAM RAWA BELONG JAKARTA BARAT Nur Asih; Nurmin Arianto
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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The aim of this research is to determine the influence of product quality and price on satisfaction and its implications for customer loyalty at Warung Ayam Penyet Anam Rawa Belong, West Jakarta, both partially and simultaneously. The method used is quantitative. The population in this study of customers who purchased Ayam Penyet Anam was 31,909 customers from 2018-2022. The sampling technique using the Slovin formula obtained a sample of 100 respondents in this study. This research uses an analysis called path analysis (PA). The results of this research are that the Product Quality Variable has a standardized coefficient value of 0.219 and a significance level of 0.003 at an alpha coefficient of 5%. These results show that the significant level is less than 5% or 0.003<0.05. So this means that there is a significant influence between Product Quality (X1) on Loyalty (Y). The price variable has a standardized coefficient value of 0.309 and a significance level of 0.001 at an alpha coefficient of 5%. These results show that the significant level is less than 5% or 0.002 < 0.05. So this means that there is a significant influence between Price (X2) on Loyalty (Y). The Product Quality variable has a standardized coefficient value of 0.410 and a significance level of 0.000 at an alpha coefficient of 5%. These results show that the significant level is less than 5% or 0.000 < 0.05. So this means that there is a significant influence between Service Quality (X1) on satisfaction (Z). The Price variable has a standardized coefficient value of 0.507 and a significance level of 0.000 at an alpha coefficient of 5%. These results show that the significant level is less than 5% or 0.000 < 0.05. So this means that there is a significant influence between price (X2) on satisfaction (Z). The satisfaction variable has a standardized coefficient value of 0.384 and a significance level of 0.000 at an alpha coefficient of 5%. These results show that the significance level is less than 5% or 0.000 < 0.05. Which means there is a significant influence between satisfaction (Z) on Loyalty (Y).
PENGARUH MOTIVASI DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN PADA PT ANDALAN DUTA EKA NUSANTARA TANGERANG SELATAN Reza Fikri Maulana; Fatimah
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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The purpose of this study is to determine the Influence of Motivation and Work Environment on Employee Performance at PT Andalan Duta Eka Nusantara South Tangerang, both partially and simultaneously. This research method uses a quantitative method with an associative method, data collection used is a questionnaire with a sample of 90 respondents. Data analysis techniques used are: data validity test, reliability test, classical assumption test, simple linear regression test, multiple linear regression test, and hypothesis test. The results obtained in the study based on the t-test on the Motivation variable t count (4.522> 1.987) are supported by the ρ value <Sig.0.05 or (0.001 <0.05) meaning that Motivation (X1) partially has a significant effect on Employee Performance (Y) and the work environment variable (X2) t count (9.006> 1.987) and is supported by the ρ value <Sig.0.05 or (0.001<0.05) meaning that the Work Environment (X2) partially has a significant effect on Employee Performance (Y). Meanwhile, based on the results of the F test, it was found that the F count value was 40.391> F table 3.095 with a significance level of 0.001 <0.05, so it can be concluded that Motivation (X1) and Work Environment (X2) simultaneously have a significant effect on Employee Performance (Y) at PT Andalan Duta Eka Nusantara Tangerang Selatan. With a determination coefficient value of 48.1%, while the remainder of (100-48.1%) = 51.9% is influenced by other factors
PERANCANGAN SISTEM E-LAUNDRY BERBASIS WEBSITE PADA IBI LAUNDRY DENGAN METODE EXTREME PROGRAMING Ahmad Suryana; Dede Supiyan
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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IBI Laundry is a laundry service business that still relies on manual systems for order processing and customer data management, resulting in various issues such as disorganized data, risk of information loss, and inefficient service delivery. Therefore, a web-based system is needed to support faster, more accurate, and integrated operations. This research aims to design a web-based E-Laundry system to assist IBI Laundry in managing transactions and customer data digitally. The development method used in this study is Extreme Programming (XP), which emphasizes team collaboration, iterative development, and rapid user feedback. The stages in this method include planning, design, coding, and testing. The result of this research is a web-based E-Laundry system with features such as laundry status tracking, customer data management, and transaction reporting. The implementation of this system improves service efficiency and organization, as well as enhances customer satisfaction with IBI Laundry's services. This study is expected to be an innovative solution for the digitalization of laundry services and serve as a reference for similar system development projects.
IMPLEMENTASI METODE TEOREMA BAYES UNTUK APLIKASI DIAGNOSA PENYAKIT TENGGOROKAN TONSILITIS DAN FARINGITIS PADA MANUSIA Tubagus Iqbal Pratama
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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Tonsillitis and pharyngitis, common throat infections, can negatively impact quality of life if not diagnosed and treated promptly, potentially leading to more serious complications. Given the urgency of early diagnosis and constraints such as limited time and accessibility to healthcare facilities that often hinder initial treatment, developing a self-diagnosis tool is crucial. Therefore, this study focuses on developing a web-based expert system that helps the general public detect tonsillitis and pharyngitis early. The system adopts Bayes' Theorem, a probabilistic approach proven effective in managing data uncertainty and generating probability estimates based on user-reported symptoms. Bayes' Theorem was chosen based on its ability to adjust the probability of a hypothesis—in this case, a disease diagnosis—when new evidence, such as additional symptoms, is introduced. This web application is designed to support early decision-making, enabling users to identify symptoms and receive early treatment recommendations. The study's findings demonstrate that the system is capable of generating diagnoses with a satisfactory level of accuracy, demonstrating its potential as a reliable tool for providing initial guidance and encouraging the public to consult medical professionals when necessary.
IMPLEMENTASI SISTEM PAKAR DIAGNOSA PENYAKIT PADA SAPI MENGGUNAKAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS) BERBASIS WEBSITE STUDI KASUS PETERNAK BERKAH FARM Luthfi Nur Haikal; Dimas Abisono Punkastyo
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
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This study aims to develop an intelligent expert system for diagnosing cattle diseases using the Variable Centered Intelligent Rule System (VCIRS) method. The system was designed to assist breeders and livestock extension officers in identifying early symptoms of major diseases that commonly affect cattle, such as Foot and Mouth Disease (FMD), Mastitis, Anthrax, Parasite Infection, and Brucellosis. The system applies VCIRS as the reasoning engine, which analyzes the correlation between symptoms and diseases based on a rule-based approach and the variable certainty of each symptom. The implementation is web-based, developed using the PHP programming language and MySQL database, making it easily accessible to users. The system determines the diagnosis by matching at least four of five disease indicators and produces detailed recommendations for prevention and treatment. Testing results show that the system achieves high accuracy and efficiency in providing diagnostic conclusions. This research contributes to the field of artificial intelligence applications in animal health management, enabling faster disease identification, supporting decision-making for farmers, and minimizing livestock mortality rates caused by infectious diseases.

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