KALBISIANA Jurnal Sains, Bisnis dan Teknologi
KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua artikel yang dikirimkan harus merupakan artikel asli, hasil penelitian yang sebelumnya tidak pernah dipublikasikan, eksperimental atau teoritis, dan akan ditinjau oleh reviewer. Artikel yang dikirimkan ke jurnal harus memenuhi kriteria ini dan tidak boleh sedang dipertimbangkan untuk publikasi di tempat lain. Naskah harus mengikuti gaya jurnal dan dapat ditelaah dan diedit.
Articles
523 Documents
<![CDATA[Pengembangan Aplikasi Deteksi Potensi Pindah Lajur Kendaraan Menggunakan YOLO V4 ]]>
<![CDATA[Franz Mikael]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 2 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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<![CDATA[Driver factors need attention because they tend to cause traffic accidents. Driver factors plus the lack of safety features such as LDWS and ADAS inside vehicles in Indonesia are the reasons for this research. This study proposes a driver assistance application that can detect lane departure movement of a vehicle. If done with a camera, the application might help minimize driving negligence. YOLO v4 is selected to meet application needs such as high detection accuracy and fast computation time. The YOLO v4 model was trained using a dataset containing 400 images and obtained mAP value of 42,98% with FPS value range of 18,7 FPS to 40,5 FPS. Based on test results, the application can detect driving lanes well and give warnings as the departure movement reaches 20% or more.]]>
<![CDATA[Pengaruh Pemahaman, Kesadaran, Kualitas Pelayanan dan Ketegasan Sanksi Terhadap Kepatuhan Membayar Pajak Wajib Pajak Orang Pribadi di KPP Pratama Pondok Gede ]]>
<![CDATA[Lisia Oktafiani]]>;
<![CDATA[Budi Kurniawan]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 1 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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<![CDATA[The purpose of this study was conducted to determine the relationship and influence of understanding, awareness, service quality, and firmness of sanctions on compliance with paying individual taxpayers' taxes at KPP Pratama Pondok Gede. This study uses quantitative data by distributing questionnaires to respondents using a Likert scale. The population is an individual taxpayer who is registered and actively making tax payments. The sample is 100 people with non-probability quota sampling technique. Data analysis methods include: research instrument test, classical assumption test, multiple linear regression test and hypothesis testing. The result of this research is that understanding and service quality have no effect on individual taxpayer compliance. Awareness and firmness of sanctions have a positive and significant impact on individual taxpayer compliance.]]>
<![CDATA[Pengembangan Aplikasi Analisis Sentimen Aplikasi PeduliLindungi Menggunakan Metode Naïve Bayes ]]>
<![CDATA[Edsel Jayadi]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 3 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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DOI: 10.53008/kalbisiana.v9i3.504
<![CDATA[This study aims to build sentiment analysis application using Naïve Bayes method to analyze public view about an application called PeduliLindungi, and measure it’s accuracy by using twitter dataset. PeduliLindungi is an application developed by the government in order to track and stop Coronavirus Disease (COVID-19). The dataset used in this study is collected by using crawling method with Tweepy. Collected dataset will then go through data pre-processing and labeled by using VADER in order to separate it into positive and negative sentiments. The data will be weighted based on the frequency of its occurrence in all tweets using the TF-IDF method. The weighted data will then be classified using the Naïve Bayes method. This research used the incremental method both in model and software development. The results obtained in this study is a model with an accuracy score of 85% and an average precision, recall, and f1-score of 85%.]]>
<![CDATA[Analisis Pengaruh Likuiditas, Leverage dan Ukuran Perusahaan terhadap Agresivitas Pajak ]]>
<![CDATA[Larasati Larasati]]>;
<![CDATA[Mira Kartika Dewi Djunaedi]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 2 (2024): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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DOI: 10.53008/kalbisiana.v10i2.518
<![CDATA[Taxes is one of sources income for countries, in which taxes contribute 71% of total revenue. Taxes are considered as a burden by the company, it is necessary to do a strategy to reduce the tax burden. Reducing the tax will cause companies to be aggressive towards taxes. The purpose of this study is to determine the effect of liquidity, leverage and company size on tax aggressiveness in consumer goods subsector manufacturing companies listed on the Indonesia Stock Exchange during the period 2017-2021. The type of data used in this study is secondary data from financial statements and company annual reports sourced from the official website of the Indonesia Stock Exchange (IDX). Determination of the sample using purposive sampling method and obtained a sample of 120 based on certain criteria. The analytical method used is multiple linear regression using the Stata 17 program. The results of this study indicate that liquidity and firm size have no significant effect with a negative direction on tax aggressiveness. While, leverage leads to a positive direction and has no significant effect on tax aggressiveness.]]>
<![CDATA[Pengaruh Ukuran Perusahaan, Profitabilitas, dan Likuiditas Terhadap Pertumbuhan Laba ]]>
<![CDATA[Monica Viola Yuliana]]>;
<![CDATA[Mira Kartika Dewi Djunaedi]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 1 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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<![CDATA[This study aims to analyze the effect of firm size, profitability, and liquidity on profit growth. The research method used is a quantitative method which aims to analyze data to determine the relationship between variables in this study. This study used a purposive sampling method and obtained 23 companies from a total of 25 food and beverage sub-sector companies listed on the Indonesia Stock Exchange in the 2017-2021 period. The data analysis method used is the STATA version 17 application program. The results of the study show that partially the firm size is not significant and positive on profit growth, profitability is not significant and positive on profit growth, and liquidity is not significant and negative on profit growth.]]>
<![CDATA[Pengembangan Aplikasi Klasifikasi Suara Alat Musik Kalimba ]]>
<![CDATA[Ferry Chai]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 2 (2024): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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DOI: 10.53008/kalbisiana.v10i2.586
<![CDATA[This study aims to develop an application that implement deep learning with the Convolutional Neural Network (CNN) for classifying the sound of the kalimba and not kalimba. The application development in this research used the incremental method. In increment 1, the dataset will be cut into ten seconds and then converted into a mel-spectrogram image with the help of librosa. The test evaluation results from the experiments carried out were 98.33% accuracy, 0.0394 loss and 98% F1 score with 150 epochs of training. In increment 2, the model is implemented as a GUI with the help of TKinter. This study shows that CNN can be used to classify the sound of the kalimba.]]>
<![CDATA[Pengaruh Pengungkapan Corporate Social Responsibility, Profitabilitas, Ukuran Perusahaan, dan Capital Intensity terhadap Agresivitas Pajak ]]>
<![CDATA[Julius Sirait]]>;
<![CDATA[Mira Kartika Dewi Djunaedi]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 3 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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DOI: 10.53008/kalbisiana.v9i3.593
<![CDATA[The research aims to the effect of corporate social responsibility, profitability, firm size, and capital intensity on tax aggressiveness.The research method is quzntitative research. The data used were obtained from the financial statements on the Indonesia Stock Exchange during the research period. The population of this research are mining sector companies listed on the Indonesia Stock Exchange for period 2017-2020, which amounted to 48 companies. The sample in this research were 28 companies obtained using purposive sampling. The data analysis technique used is descriptive analysis. The result of this research showed that corporate social reasponsibility (CSR) has a negative and not significant effect on tax aggressiveness. Profitability (ROA) has a negative and not significant effect on tax aggressiveness. Firm size (SIZE) has a negative and not significant effect on tax aggressiveness. Capital intensity (CAPN) has a negative and not significant effect on tax aggressiveness.]]>
<![CDATA[Pengaruh Harga, Store Atmosphere, Kualitas Produk, dan Pelayanan terhadap Kepuasan Pelanggan Lawless Burgerbar Kemang ]]>
<![CDATA[Alvindra Taufik Pratama]]>;
<![CDATA[Salsa Dilla]]>;
<![CDATA[Donant Alananto Iskandar]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 1 (2024): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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DOI: 10.53008/kalbisiana.v10i1.600
<![CDATA[Fast food, is a food with a fast-manufacturing process. According to the Statista website, the level of Indonesian people's fast-food consumption increased in 2018 to 36.81% of the total respondents. This shows that fast food is one type of food that is favored by all people. Researchers are interested in conducting research that aims to determine the effect of price, store atmosphere, product quality, and service quality, on customer satisfaction at Lawless Burgerbar Kemang. The sample of this study used a non-probability sampling sample of 125 customers at Lawless Burgerbar Kemang. This study uses primary data through distributing questionnaires to customers of Lawless Burgerbar Kemang. The data analysis technique uses multiple linear regression analysis, f-test and t-test using SPSS version 26. The conclusion of this study is that price has a positive and significant effect on customer satisfaction. Then store atmosphere, product quality, and service have no partial significant effect on customer satisfaction. Advice that can be given by Lawless Burgerbar Kemang should be to improve the quality of their product.]]>
<![CDATA[Implementasi Inventory Menggunakan Sistem ERP Ginee pada Toko Online Sembilan Nine Shop ]]>
<![CDATA[Pricilia Caroline]]>;
<![CDATA[Lufty Abdillah]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 3 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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DOI: 10.53008/kalbisiana.v9i3.628
<![CDATA[Sembilan Nine Shop online shop is a baking material store that serves online purchases through several online merchants. Sembilan Nine Shop have many types and variants of products that for sale. In managing its inventory, the Sembilan Nine Shop online store does not yet use information technology. Currently for warehouse activities still use the method of managing and collecting inventory data in the warehouse manually. This causes the goods in the warehouse to have no categories in their storage and the stock is the difference between physical and online merchants. This is the reason for the need for an information system that can manage inventory in the Sembilan Nine Shop online store. In this study, the author uses the ERP life cycle system implementation method. It is hoped that with the implementation of the Ginee Inventory ERP system for the online store, Sembilan Nine Shop can better manage and record the goods in its warehouse.]]>
<![CDATA[Pembuatan Gim "Equilibrista" untuk Melatih Keterampilan Mengetik Pengguna Komputer ]]>
<![CDATA[Aditya Victory Winata]]>
<![CDATA[ KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 9 No. 2 (2023): Kalbisiana ]]>
Publisher : <![CDATA[UNIVERSITAS KALBIS ]]>
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<![CDATA[This study aims to create a game application that can be used to practice typing skills, so that typing errors that occur when using keyboard are expected to be reduced. The method used to develop games in this research is Game Development Life Cycle (GDLC), and the game engine used is Unity, with C# as the programming language. User or beta testing was carried out on 10 early users to get input about the Equilibrista game. From the results of the tests, regarding the statement that the Equilibrista game can be a fun typing practice tool, 10% of respondents answered netral, 90% of respondents answered agree. Regarding the reduction of typos after playing the game Equilibrista, as many as 10% of respondents answered strongly disagree, 20% of respondents answered disagree, and 70% of respondents agree.]]>
