bluuebunny/crossref_metadata_2025 huggingface dataset:
Peranan Sistem Informasi Komputer Dalam Evolusi Bisnis Ke Era Digital 5.0
Authors: Abdul Sakti
Published: September 2024

The development of information technology has significantly impacted the evolution of business into the digital era 5.0. In this context, the role of Computer Information Systems (CIS) becomes crucial in facing the challenges and opportunities that arise. This study aims to explore the role of CIS in Business 5.0, focusing on technology integration and business processes, analytical capabilities and data-driven decision-making, automation and operational efficiency, information security and compliance, as well as accountability and transparency. The research methodology involved literature search from academic databases and scientific journals using relevant keywords such as "digital transformation," "Business 5.0," "Computer Information Systems," and "technology integration." Selected information sources were then filtered based on inclusion and exclusion criteria, such as relevance, source credibility, and publication year. The results of literature analysis indicate that technology integration and business process serve as the foundation for the role of CIS in Business 5.0. Analytical capabilities and data-driven decision-making, along with automation and operational efficiency, also significantly contribute to increased productivity and organizational innovation. Additionally, aspects of information security and compliance, together with accountability and transparency, are key to building trust among stakeholders. The discussion of the results highlights the importance of understanding and implementing these concepts in the context of Business 5.0. By considering technology integration and business processes, analytical capabilities and data-driven decision-making, automation and operational efficiency, information security and compliance, as well as accountability and transparency, companies can optimize the role of CIS in transforming their businesses into the digital era 5.0, enhancing competitiveness, and achieving long-term success.
Sistem Informasi Perpustakaan SMP HKBP Medan Berbasis Web Menggunakan Metode Framework For The Application System Thinking (FAST)
Authors: Gusti Masari Pangaribuan  , Nikita Br. Nababan  , Bremi Br Ginting  , Nita Syahputri
Published: September 2024

One of the key components that helps the school's teaching and learning process is the library information system. The objective of this study is to apply the Framework for the Application of Systems Techniques (FAST) approach to the design and development of an online library information system for SMP HKBP Medan. This system is expected to increase efficiency in managing book data, borrowing and returning books as well as making it easier to access information for students and school staff. The use of the FAST method in developing this system involves several stages, including feasibility studies, needs analysis, system design, implementation, and evaluation. The result of this research is a web-based library information system that is user-friendly and able to improve the performance of the HKBP Medan Junior High School library.
Rekacipta Antarmuka Pengguna Intuitif dan Ramah Pengguna untuk Sistem Operasi Windows: Pendekatan Berbasis Pengalaman Pengguna (Ux)
Authors: Rakhmadi Rahman  , Abdul Khalik Hartono  , Natasya taslim
Published: September 2024

The rapid development of digital technology has led to the importance of intuitive and user-friendly operating systems. Windows, as one of the most widely used operating systems in the world, therefore we continue to strive to present a user interface (UI) that is not only functional but also easy to use. This journal discusses the project "Recreating Intuitive and User-Friendly User Interface for Windows Operating System: A User Experience (UX) Driven Approach" which aims to improve the Windows user experience through better UI design. The main objective of this project is to explore and implement design principles that can improve the overall user experience. With a user experience (UX) based approach, this project identifies weaknesses in the current Windows interface, seeks innovative solutions, and tests their effectiveness through comprehensive user research. In this research, we produced several new features that were introduced including grouping, app drawer, and widgets, all of which are intended to ease navigation and improve efficiency of use.
Mengejar Kinerja Maksimal: Teknik Pengoptimalan Terkini dalam Pembelajaran Mesin
Authors: Agung Yuliyanto Nugroho  , Ferat Kristanto
Published: September 2024

In the era of data revolution and artificial intelligence, machine learning model optimization has become one of the most dynamic and crucial research areas. This article reviews the latest techniques in machine learning model optimization with a focus on pursuing maximum performance. We discuss various methods applied to improve model accuracy and efficiency, ranging from hyperparameter tuning techniques, advanced optimization algorithms such as Bayesian optimization, to innovative approaches such as meta-learning and transfer learning. These optimization techniques not only aim to improve model performance but also to overcome challenges related to big data, model complexity, and computational limitations. We investigate how these methods can be integrated in machine learning pipelines to achieve better results with more efficient resources. Through a review of recent literature and case studies of applications in various domains, this article provides in-depth insights into the trends and developments in model optimization, as well as practical recommendations for researchers and practitioners in pursuing maximum performance from their machine learning systems. A better understanding of these cutting-edge techniques is expected to facilitate the achievement of better and more innovative results in future machine learning applications.
Karakteristik Penataan Ruang Perpustakaan Sekolah SMPN 1 Lubuk Sikaping
Authors: Rahmat Syauqi Deswin  , Nurizzati Nurizzati
Published: September 2024

This type of research is qualitative research using descriptive methods. The data source in this research is the Head of the Library at SMPN 1 Lubuk Suhuing. The data for this research are the results of interviews with the head of the library at SMPN 1 Lubuk Suhuing. The instrument for this research was the researcher himself using an interview guide, notebook, digital camera and recording device. The data collection technique is carried out in five stages, namely: (1) this observation technique is based on direct experience (2) the observation technique allows you to see and observe yourself, then record behavior and events as they actually occur. (3) observation allows researchers to record events in situations related to proportional knowledge or knowledge directly obtained from data. (4) observation techniques enable researchers to understand complex situations. (5) in certain cases where interview techniques are not possible to carry out, observation becomes a tool. Based on the research results, it was found that: The research results of the library space arrangement according to Lasa HS (2007) amounted to 7 points, 3 points were appropriate while 4 points were not appropriate, thus the research results found that the characteristics of the library room arrangement at SMPN 1 Lubuk Suhuing could it is said to be not fully appropriate or in other words does not meet the spatial planning standards according to Lasa HS (2007).
Pengelompokan Data Rekam Medis pada Pasien Penyakit dalam Untuk Meningkatkan Manajemen Informasi Kesehatan Berdasarkan Wilayah Kota Binjai Menggunakan Algoritma Clustering K- Means
Authors: Desiska Natalia Br. Purba  , Marto Sihombing  , Indah Ambarita
Published: September 2024

The history of disease in patients is generally recorded in medical record data in every hospital as well as at Artha Medika Hospital which is a health institution that was established in 2012 in the city of Binjai also has a very large amount of medical record data. However, in using the information management system owned by Artha Medika Hospital, there are weaknesses and it is still limited in managing medical record data in the hospital which is used in making reports to the head of the leadership. Therefore, a system is needed that can assist the hospital in improving health information management to be faster in managing data by approaching using data mining techniques with the k-means method. So that in finding new information based on medical record data of internal medicine patients can be used in the decision-making process by hospital management to be right on target so that it can produce 3 groups of data consisting of Age, Type of disease and Region. From testing on cluster 3, it can be seen that the results of the age group (X), type of disease (Y), region (Z) the amount of data owned is 645 cluster 3 data centred on the centroid of the information of the number of patient medical records data, namely age is 44-52 years, with the type of disease is chronic kidney disease and the region is South Binjai.
Pengelompokan Data Keluhan Masyarakat Terhadap Fasilitas Umum diKota Binjai Menggunakan Metode Clustering
Authors: Dea Syafitri  , Yani Maulita  , Lina Arlianan Nur Kadim
Published: September 2024

Public Facilities in Binjai City are infrastructure that is provided free of charge that can be enjoyed by the community and is one of the vacation spots that does not need to spend a lot of money, but there are several infrastructure facilities that are not maintained, dirty and have damage from minor to the most severe, even infrastructure, so that it greatly affects the comfort of the community. In the process of maintaining public facilities in Binjai City in accordance with the Binjai City Regional Regulation Letter Number 1 of 2024 concerning public facilities used for public purposes, including for educational, health, worship, socio-cultural, sports and recreational activities (Hamzah, 2024). The Environmental Service of Binjai City really needs input from the community to continue to help maintain and care for the facilities provided so that the agency can handle and respond to community complaints such as a lot of garbage, dirty, rusty, muddy facilities and others as well as input reported by the community on the cleanliness of public facilities in Binjai City. Therefore, the agency needs a system using the clustering method that can manage community complaint data to be used as information that can assist the agency in taking quick action to deal with the problem of community complaints about public facilities in Binjai City. Based on the research conducted on the case experiment above from testing 20 data, there are 3 groups, namely group 1 there are 5 data and group 2 there are 9 data, and group 3 there are 6 data which can be known that in cluster 2 the group of public complaints about public facilities in Binjai City with public facilities (X) Studion Field, with complaints (Y) Becek, Banyak Sampah, & Berkarat, with Advice (Z) Repair & Maintain Cleanliness.
Faktor Penghambat Dan Pendukung Pembayaran Nontunai Menggunakan Mesin Electronic Data Capture (Edc) Pada Pt. Bumi Nyiur Swalayan Pusat
Authors: Arum Noer Fadhilah  , Husnah Husnah  , Risnawati Risnawati
Published: September 2024

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang menjadi penghambat dan pendukung pembayaran nontunai menggunakan mesin EDC (Electronic Data Capture). Metode yang digunakan dalam penelitian adalah analisis deskriptif kualitatif  dan analisis SWOT.  Teknik pengumpulan data dilakukan dengan cara observasi dan wawancara. Hasil penelitian menunjukan bahwa faktor yang menjadi penghambat adalah jumlah mesin EDC tidak dapat memenuhi kebutuhan operasional , kurangnya meja kasir yang beroperasi, kurangnya ketelitian karyawan kasir dalam menyelesaikan transaksi. Faktor pendukung yang ditemukan dalam penelitaian adalah adalah efisiensi dalam menyelesaikan transaksi;  dan meminimalisir resiko penyebaran uang palsu, lebih aman dan transparan. Penelitian ini menunjukan strategi utama penunjang penggunaan mesin EDC pada BNS pusat adalah strategi SO (Strength-Weakness) dengan mendukung strategi agresif melalui strategi meningkatkan pengetahuan dan keahlian karyawan penggunaan EDC guna peningkatan kepuasan pelanggan terhadap pelayanan, pengembangan metode pembayaran nontunai lainnya guna meningkatkan penjualan, mewujudkan cashless society, serta memperluas pangsa pasar.
Mekanisme Penetapan Pajak Kendaraan Bermotor (PKB) Pada Kantor Bersama Samsat Palu
Authors: Sissy Anastasya  , Adfiyani Fadjar  , Wiri Wirastuti
Published: September 2024

Motorized Vehicle Tax is a tax on ownership and/or control of motorized vehicles. In the implementation of the collection is carried out in the office with Samsat. The SAMSAT Joint Office involves three government agencies, namely: the Regional Revenue Agency, the Regional Police of the Republic of Indonesia, and PT. (Persero) Jasa Raharja Loss Insurance. The Technical Service Unit (UPT) Region 1 Palu SAMSAT has a work unit, namely the Billing and Determination Implementation Unit (PENTAP) which focuses on the billing section and determining the amount of tax bills to be raised. The method used in the preparation of this Final Project will be discussed descriptively regarding the Motor Vehicle Tax Determination Mechanism carried out by the Taxpayer Collection and Determination Unit at the SAMSAT Wil.1 Palu Office.
Scoping Review & Perspektif : Business Ethic From Entrepreneur On SMEs
Authors: Risca Kurnia Sari  , Sudarmiatin Sudarmiatin  , Satria Putra Utama
Published: September 2024

Various problems related to today's business ethics have increasingly developed with the emergence of easy access to available social media. The spread of ethical issues in business can significantly affect the quality and popularity of a company. The application of good business ethics will certainly help the company to be able to continue to survive and advance in the current era of increasingly inadequate technology. The purpose of this study is to describe how business ethics should exist in a company. This scoping study aims to examine the literature regarding the most relevant and significant aspects of business ethics in entrepreneurship, as well as the methods used in related research. This study searches multiple databases for articles published between 2012 and 2023. The results of the study show that the contribution of business ethics is needed to improve the quality of company development. The existence of the application of good business ethics will help the company achieve its vision and mission in accordance with what is expected.
Analisis Efektivitas Kinerja Keuangan Partai Gerakan Indonesia Raya (Gerindra) Tahun 2019
Authors: Nunky Vinalia  , Arung Abinaya N  , Herlina Manurung
Published: September 2024

Studi ini bertujuan untuk menganalisis efektivitas kinerja keuangan Partai Gerakan Indonesia Raya (Gerindra) pada tahun 2019. Kinerja keuangan sebuah partai politik memainkan peran penting dalam menilai kemampuannya untuk mencapai tujuan dan melaksanakan aktivitas politik dengan efektif. Dengan menganalisis indikator keuangan utama. Metodologi penelitian melibatkan pengumpulan data keuangan dari laporan keuangan Gerindra dan sumber-sumber relevan lainnya. Data tersebut kemudian dianalisis menggunakan berbagai rasio keuangan, termasuk rasio likuiditas, rasio profitabilitas, dan rasio utang. Rasio-rasio ini memberikan pandangan komprehensif tentang kinerja keuangan Gerindra, menunjukkan kemampuannya dalam menghasilkan dan mengelola sumber daya keuangan, mengendalikan pengeluaran, dan memanfaatkan aset dengan efisien. Temuan dari analisis ini memberikan gambaran tentang posisi keuangan dan kinerja Gerindra pada tahun 2019. Hasil dari studi ini memberikan kontribusi dalam pemahaman tentang kinerja keuangan Gerindra pada tahun 2019, menyoroti kekuatan dan area yang perlu diperbaiki. Temuan ini dapat digunakan oleh para pemimpin partai, pemangku kepentingan, dan analis keuangan untuk membuat keputusan yang berdasarkan informasi mengenai manajemen keuangan, alokasi sumber daya, dan perencanaan strategis. Selain itu, analisis ini juga memberikan dasar bagi penelitian lebih lanjut tentang kinerja keuangan partai politik dan dampaknya pada proses demokrasi dan stabilitas politik.
Studi Literatur: Artificial Intelligence Dalam Audit
Authors: Veren Putri Shamaya  , Sabrina Nova Ashara  , Achmad Sofyan  , Salsabila Aprilia  , Arswarani Leonica  , Tri Ratnawati
Published: September 2024

The purpose of this study is to find out how the influence, role, and progress of Artificial Intelligence in Auditing. The approach in this study uses a type of research in the form of a literature study with data collection methods in the form of library data that has been selected, searched and analyzed. Based on the research results, it is known that Artificial Intelligence has quite a significant influence on the positive and negative sides. Artificial Intelligence also provides a useful role in auditing developments in the present and in the future, although in practice Artificial Intelligence still has many weaknesses because auditing still requires an auditor's assessment.
Pengaruh Modal Kredit Usaha Rakyat (KSP Kopdit Obor Mas Cabang Utama Nagekeo) Terhadap Pendapatan Pelaku Usaha Mikro Kecil Dan Menengah Pada Sektor Pertanian Di Kecamatan Aesesa Kabupaten Nagekeo
Authors: Martina Owa  , Andreas Rengga  , Konstantinus Pati Sanga
Published: September 2024

This research aimed to analyze the effect of people’s Business Credit Capital (Obor Mas Nagekeo Credit union) on the income of MSMEs actors enterprises in the agricultural sector in Aesesa sub – district, Nagekeo regnency. The analyze method used used simple linear method testing. Based on the results of linear regression testing in this research, Y=27,694,720,080 + 0.462 X. means that when the people’s Business Credit Capital Variable (X) increased by one unit, the MSMEs Actors Income Variable (Y) increased by 0.462. the results of the calculation of the regression coefficient showed that the R Square value was o,366 or 36,6%, meaning that the people’s Business Credit Capital Variable (X) could explain the income of MSMEs actors (Y) by 36,6% and the rest was explained by other variables not used in this research model.
Pengaruh Lingkungan Kerja Fisik Terhadap Semangat Kerja Pegawai Pada Kantor Camat Woha Kabupaten Bima
Authors: Adithya Dwisaputra  , Jaenab Jaenab
Published: September 2024

Human resources are important in the organization. The importance of human resources in an organization demands that the organization gets quality and productive employees in the organization, Annisa.N.(2015) In addition, the organization or company must also provide a special section related to employees, this section is called resource management human (MSDM). Human resource management is what makes an organization able to carry out daily activities. Many employees in organizations have different personalities, values, needs, expectations, thoughts and behaviors. The differences that arise from each of these individuals require that each leader or manager be able to integrate, communicate, direct, and align any differences that exist so that they can become a source of strength in achieving organizational goals. Besides that, to support the performance of an employee requires motivation in working either from the work environment or from the level of morale possessed by human resources.
Pengaruh Lingkungan Kerja Dan Disiplin Kerja Terhadap Kinerja Pegawai Pada Kantor DPRD Di Kabupaten Enrekang
Authors: Wildana Wafika Saifullah  , Burhanuddin Burhanuddin  , Uhud Darmawan
Published: September 2024

This study aims to determine whether there is an influence of work environment and work discipline on employee performance at the DPRD Office in Enrekang Regency. The research employs a quantitative approach with a descriptive method and constitutes a population study. The sample for this research comprises the entire workforce of 38 individuals at the DPRD Office in Enrekang Regency. Hypothesis testing in this study employs multiple linear regression analysis, yielding the following outcomes: Based on the results of the hypothesis testing using the multiple linear regression analysis, it is demonstrated that both the work environment and work discipline variables concurrently affect employee performance at the DPRD Office in Enrekang Regency. The results of the hypothesis testing also indicate that the work environment has a partial influence on employee performance at the DPRD Office in Enrekang Regency, and work discipline also partially influences employee performance at the DPRD Oficce in Enrekang.
Pengaruh Discount Dan Store Atmosphere Terhadap Impulsive Buying Pada Ruby Supemarket Kecamatan Terara Lombok Timur
Authors: Muhammad Azrul Fahmi  , Weni Retnowati
Published: September 2024

This research aims to determine the effect of discounts and store atmosphere on impulsive buying at Ruby Supermarket Terara, East Lombok. The type of research used is associative research with a quantitative approach. The population used is all consumers who have made impulsive purchases at Ruby Supermarket Terara, East Lombok. The number of samples used in this research was 72 people using non-probability sampling as a research sampling technique. The results of this research show that; (1) Discounts have a positive and significant effect on impulsive buying5, (2) Store atmosphere has a positive and significant effect on impulsive buying with a significance of 0.043, because tcount > ttable (2.058>1.944) with a significance value below 0.05. Based on the results of this research, it is recommended that Ruby Supermarket Terara pay more attention to promotional strategies in the form of discounts applied, both in terms of the size of the discount given and the type of products or goods that receive discounts. Apart from that, the store atmosphere at Ruby Terara is further developed by adding various Unique and attractive ornaments that can attract consumers to visit.
Pembangunan Berkelanjutan Melalui Badan Usaha Milik Desa
Authors: Alif Muzhaqi
Published: September 2024

The presence of village Sustainable Development Goals and village-owned enterprises is crucial to the development of regional economic activities and development as well as a major part of enabling the region to open up decent employment opportunities. The position of BUMDesa and the Sustainable Development Goals program has been regulated in legislation and local government policies. This research is descriptive research using a qualitative approach, namely a study by describing the data that researchers have collected, both data from interviews, observation and documentation during the research. Data analysis techniques used in qualitative research include transcripts of interview results, data reduction, data presentation and conclusion drawing. The results of data processing show that Ketapanrame Village has realized a sustainable development program through BUMDesa with 18 objectives of the village sustainable development program. The linkage shows such as the increasing welfare of the community, the lower unemployment rate because BUMDesa absorbs labor and partnerships almost entirely from the total number of villagers, the higher economy because almost all residents become BUMDesa partners. The level of village development is getting higher but the local government still maintains green land for food security and greening. Need for transparency of BUMDesa programs so that every citizen knows and understands entirely. Human Resources also need continuous coaching.
Peran Perdagangan International Dan Investasi Terhadap Pertumbuhan Perekonomian Indonesia
Authors: Eko Purnomo  , Hendra Ibrahim
Published: September 2024

In the context of a country's economy, one of the things that stands out is economic growth. To grow a country's economy, that is by carrying out international trade for a country, such as exports and imports, and making investments. In the context of Indonesia, international trade has become an instrument to encourage economic growth. Meanwhile, investment can increase people's real income, provide greater economic resources for investment (investible surplus), and encourage the rate of economic growth. The type of research carried out is qualitative descriptive research. The data sources used are secondary data originating from journals, books and websites and the data collection technique used is literature study. Based on data from the Central Statistics Agency (BPS), economic growth was below 5% or 4.94% on an annual basis in the third quarter of 2023, this figure is lower than the previous quarter of 5.17% (yoy). This weakness was caused by the decline in export value and imports in the third quarter of 2023. Meanwhile, the role of investment greatly influences economic growth. This result is in accordance with existing theory, where higher investment in a country will increase the country's economic growth. If a country's investment is high, it will contribute to increasing a country's income.
Penerapan Service Quality Dalam Upaya Menjaga Citra Bank Terhadap Loyalitas Nasabah Di Bank Sumut Syariah Kcp Binjai
Authors: Novitri Ramadhani
Published: September 2024

Service quality, known as service quality, is an important factor in the banking business as an effort to increase customer satisfaction. The higher the perceived level of service quality, the greater the increase in consumer satisfaction. This research aims to explain the implementation of service quality implemented by Bank Sumut Syariah Kcp Binjai in an effort to maintain its image to customers. This research method uses literature study by collecting and reviewing sources related to the title such as journals, books and others. A bank's image can be good in the eyes of the public if the services provided by the bank can satisfy its customers
Pengaruh Transfer Pelatihan, Efikasi Diri, Dan Lingkungan Kerja Non Fisik Terhadap Kinerja Pegawai Dinas Bina Marga, Cipta Karya Dan Tata Ruang (BMCKTR) Provinsi Sumatera Barat
Authors: Anisa Mega Utami  , Khairil Aswan
Published: September 2024

The aim of this research is to determine whether there is an influence of training transfer, self-efficacy and the non-physical work environment on employee performance at the Department of Highways, Cipta Karya and Spatial Planning of West Sumatra Province. This research uses quantitative methods. The population in this study was 213 and the sample used was 139 using the Slovin formula. The results of this research show that the training transfer variable (X1) has a positive effect on employee performance at the Department of Highways, Cipta Karya and Spatial Planning of West Sumatra Province with a t-count value greater than the t-table (2.456 > 1.97756), with a significance value of moresmaller than the alpha value (0.015 < 0.05), then Ho is rejected and H1 is accepted. The self-efficacy variable (X2) has a positive effect on employee performance at the Department of Highways, Cipta Karya and Spatial Planning of West Sumatra Province with a t-count value greater than the t-table (5.229 > 1.97756), with a significance value smaller than the alpha value (0.000 < 0.05) then Ho is rejected and H2 is accepted. The self-efficacy variable (X3) has a positive effect on employee performance at the Department of Highways, Cipta Karya and Spatial Planning of West Sumatra Province with a t-count value greater than the t-table (2.303 > 1.97756), with a significance value smaller than the alpha value (0.023 < 0.05) then Ho is rejected and H3 is accepted.
Pengaruh Relationship Quality Terhadap Loyalitas Nasabah KPR Subsidi Pada Bank PT. Bank Tabungan Negara (Persero) Tbk Cabang Padang
Authors: Niken Mardhatillah
Published: September 2024

The main goal of the bank is to make customers loyal to the bank. For this reason, every bank must always pay attention to the needs and desires of customers and try to fulfill their expectations in a better and more satisfying way than other competing banks do. Loyal customers are a banking company's asset, therefore banking companies must build better relationships with each of their customers, namely by building customer loyalty and maintaining and maintaining them so that they do not turn to other banking companies.
Pengaruh Cash Holding, Ukuran Perusahaan, Nilai Perusahaan Dan Kualitas Audit Terhadap Praktik Perataan Laba
Authors: Aditya Gunawan  , Slamet Wiyono
Published: September 2024

This study refers to problems related to income smoothing practices which are influenced by various factors. In this case, it is interesting for the researcher to conduct another study related to the problem of income smoothing practices. This study aims to determine whether there is a relationship between Cash Holding, firm size, Firm Value and audit quality on income smoothing practices. The analytical method used by the researcher is a logistic analysis method with purposive sampling technique and the data used are annual report data and financial reports for manufacturing companies in the consumer non-cyclicals listed on the Indonesian Stock Exchange (IDX) for the 2018-2022 period. From the results of the research that has been done, it shows that Cash Holding variables, firm size, Firm Value and audit quality have a positive effect on income smoothing practices.
Pengaruh Kualitas Produk, Citra Merek, Dan Persepsi Harga Terhadap Minat Beli Produk Make Over Di Kota Bekasi
Authors: Ana Berti Atmajayanti  , Dewi Sri Wulandari  , Bayu Seno Pitoyo
Published: September 2024

This research aims to analyze and consider various factors and components that may influence each other between Product Quality, Brand Image and Price Perception on Purchase Interest in Make Over Products in Bekasi City. The sample for this research was 170 respondents who were interested in buying Make Over products in Bekasi City. This type of research uses a quantitative approach. Data was collected directly from respondents using research instruments in the form of questionnaires via Google Form and convenience sampling techniques. then the data results were processed using the SPSS 26 data processing application. The results of this research prove that product quality and brand image have a positive and significant effect on interest in buying Make Over products both partially, but there is no influence of price perception on interest in buying Make Over products either partially. . Simultaneously, product quality, price perception and brand image have a positive and significant effect on purchase intention for Make Over products in Bekasi City.
Analisis Penerapan PSAK 24 Mengenai Imbalan Pasca Kerja Pada PT Bank Negara Indonesia (Persero) Tbk
Authors: Dini Dwi Ermawati  , Fani Yulia Rosyada
Published: September 2024

This research was conducted at a state-owned enterprise (SOE) operating in the financial sector, specifically in banking, namely PT Bank Negara Indonesia (Persero) Tbk, commonly referred to as BNI. The aim of this study is to examine the presentation and reporting of the implementation of PSAK 24 employee benefits, particularly post-employment benefits at PT Bank Negara Indonesia Tbk. The data used in this research is entirely secondary data, and the analytical technique employed is a descriptive quantitative method. The data used in this study includes the financial statements of PT Bank Negara Indonesia Tbk for the period 2020-2022. The data was collected from PT Bank Negara Indonesia Tbk and the official website of PT Bank Negara Indonesia Tbk. The results of the research at PT Bank Negara Indonesia Tbk indicate that the presentation and reporting of employee benefits are in accordance with PSAK 24. The employee benefits of PT Bank Negara Indonesia Tbk are recorded in the income statement, and in the statement of financial position, they are recorded as a liability account for employee benefits. The differences in the gains (losses) of employee benefits are recorded in the comprehensive income statement.
Implementasi Media Canva pada Pembelajaran Bahasa Indonesia Teks Negosiasi Kelas X SMA Negeri 11 Semarang
Authors: Hana Silma Hadana  , Asep Purwo Yudi Utomo  , Nurus Sa’adah  , Titis Ardyasti
Published: September 2024

Technological developments have an impact on making interactive media in learning. Today’s learning media is more varied, especially Canva media. The purpose of this study was to find out the implementation of Canva media in Indonesian language learning in negotiating text material for class X SMA N 11 Semarang. This research also aims to make teachers more motivated in making learning media interesting, creative, and interactive. This type of research is qualitative using observation, interview, and documentation methods. This research was conducted in January 2023 at SMA Negeri 11 Semarang. The sources for this study were students in Class X SMA Negeri 11 Semarang. Existing data is in the form of behavior in implementing Canva media in learning Indonesian in negotiating text material. The analytical method used in this case is interactive analysis. The presentation of the results of data analysis in this article uses an informal method. The results of the implementation of Canva media in learning Indonesian in the negotiating text material for class X SMA N 11 Semarang went well, conducive, and interactive. There are several weaknesses that arise when learning takes place. However, the advantages of this implementation have more impact than disadvantages. Learning that is monotonous and makes students bored can be overcome with the Canva application as an interactive learning medium.
Per l’Unità d’Italia da Sud. La parabola politica di Giacinto Albini
Authors: Albano Alessandro
Published: September 2024

Muovendo dalle più recenti acquisizioni storiografiche relative al percorso per l’Unità d’Italia da Sud, il saggio analizza in particolare le forme e modalità di costruzione e azione delle reti patriottiche meridionali nel periodo compreso tra il 1857 e il 1861. In tale quadro, dalla fallimentare spedizione di Pisacane all’insurrezione lucana del XVIII agosto 1860, la ricostruzione della parabola di vita del lucano Giacinto Albini consente di evidenziare non solo il determinante e originale apporto alla causa unitaria delle province meridionali, ma anche la progressiva marginalizzazione, all’indomani della proclamazione dell’Italia unita, di molti di quei protagonisti che, pur compartecipi del difficile percorso risorgimentale, furono reputati non compatibili con le istituzioni del nuovo Stato in costruzione.
Tradurre nell’Italia del Risorgimento
Authors: Rundle Christopher , Marazzi Elisa , Dendena Francesco
Published: September 2024

Letture sul volume di Maria Pia Casalena, Tradurre nell’Italia del Risorgimento. Le culture straniere e le idee di nazione, Roma, Carocci, 2021
CYTOTOXICITY OF ALOE VERA EXTRACT ON CHRONIC MYELOID LEUKEMIA CELLS; IN VITRO STUDY ON CYTOTOXICITY ON HL-60 CELLS
Authors: KHAN AN , TANVIR L , RAZZAQ H , ABUBAKAR M , QAISER N , RAHMAN AU , KHALID H , ASIM MH
Published: September 2024

Aloe vera has been traditionally used for its various therapeutic properties, but its potential anticancer effects have not been thoroughly explored. Understanding its efficacy against leukemia could significantly impact care recommendations for leukemia patients. Objective: This in-vitro study aims to establish the anti-cancerous effects of Aloe vera on the Human Leukemia HL-60 cell line. Methods: Following approval from the Ethical Review Committee, this study involved culturing the HL-60 cell line and treating it with increasing concentrations of Aloe vera extract to determine the half-maximal inhibitory concentration (IC50). The MTT assay was employed to assess cell viability, and the absorbance was measured using an ELISA reader. Gene expression levels of pro-apoptotic biomarkers, Caspase-3 and Caspase-9, were also quantified to gauge apoptosis induction. Results: Aloe vera demonstrated a relatively low IC50 value of 13.1 µM in the HL-60 cell line, indicating potent cytotoxicity. Notably, pro-apoptotic biomarkers were highly expressed, with Caspase-3 and Caspase-9 recording gene expression levels of 11.1 and 13.7, respectively. Conclusion: Aloe vera exhibited significant pro-apoptotic effects against the leukemia HL-60 cell line, suggesting its potential as an anti-cancer agent. Further in-vivo and clinical studies are warranted to elucidate the specific pathways through which Aloe vera exerts these effects and to validate its use in clinical settings.
A Cultural Publishing Perspective on the Development of Artificial Intelligence in the Process of Impacts and Opportunities
Authors: Xu Weitao
Published: September 2024

In the wave of informatization and digitization, generative artificial intelligence (AIGC), an important branch of artificial intelligence technology, is gradually penetrating and reshaping the publishing industry. Through systematic analysis and research, this paper discusses the current status of the application, its development path, and the challenges generative AI faces in the publishing industry. Firstly, this paper explains the basic principles of generative AI technology and its advantages in content generation. It also analyses its specific application scenarios in various content forms such as text, image, audio, and video. Secondly, this paper discusses the various paths of generative AI to enable the high-quality development of the publishing industry, including improving content production efficiency, promoting creative diversity of content, and optimizing the publishing process. At the same time, this paper also analyses the technical bottlenecks, market barriers, and ethical and safety issues faced by the application of generative AI in the publishing industry, and puts forward some strategies and suggestions to cope with these challenges.
Second-hand car price prediction based on multiple linear regression and random forest
Authors: Gao Jiaying
Published: September 2024

The second-hand car market is a hot topic. Buying a second-hand car has advantages in price and many other aspects. Therefore, it is important to establish a good price prediction model. This paper will explore the factors that affect the price of second-hand cars. After analyzing and learning many kinds of literature, this paper establishes a multiple linear regression model and a random forest model and makes a comparative analysis of the model effect. The sum of the square error and R-square value of the random forest are better than the multiple linear regression model. Among the factors affecting the price of second-hand cars, the year of production has the greatest impact on the price, which shows that the age of the year is an important factor in determining the price of second-hand cars. The next most important factor is the number of kilometers traveled, followed by fuel type and transmission type-finally, engine displacement, number of transfers and number of seats. The random forest model established in this paper has better application value to price prediction.
Research on gold price prediction based on ARIMA model
Authors: Bai Yi
Published: September 2024

Gold is one of the most prevalent currencies in the world and its price has a very strong influence in the global financial markets. Gold has safe-haven properties, which can have a significant impact on its demand and price, especially in times of social unrest or financial crisis. Now, the demand for gold by investors has increased dramatically. Therefore, being able to accurately predict the direction of the gold price can help investors to effectively develop investment strategies and risk management measures. The overall objective of this study is to forecast the price of gold futures for the next six months. In this study, the Kaggle website was searched to find the price of gold from 2020 to 2024 and finally the CLOSE price was chosen as the final predicted price. This paper uses the ARIMA model for gold price forecasting. By comparing the RSME size of each model, ARIMA (1, 1, 2) is finally chosen. From the prediction results the price of gold remains stable in the first half of the year and then increases significantly. From the results of the residual test, there is no autocorrelation, and then it is white noise.
Predicting Stock Prices in the Electric Vehicle and Technology Sectors Using Long Short-Term Memory Models
Authors: Wu Sheng
Published: September 2024

Forecasting stock prices is a complex task because of the volatility and intricate temporal dependencies present in financial markets. Long Short-Term Memory (LSTM) networks, known for their proficiency in handling extended time-series data, offer an effective solution to these challenges. This paper delves into the applications in LSTM networks to forecast stock prices for various companies in the electric vehicle and related sectors, specifically examining data from Tesla, BYD, Panasonic, and NVIDIA. The study assesses the predictive accuracy and performance of these models using RMSE, MSE, MAE, and R metrics. By comparing these metrics across different companies, the paper provides an in-depth analysis of LSTM networks' effectiveness in financial forecasting. The findings indicate that when LSTM networks are optimized through hyperparameter tuning and architectural adjustments, they can accurately identify patterns in stock price data, offering valuable insights for investors and analysts in the electric vehicle, technology, and energy industries.
The Impact of Prospect Theory on Asset Forecasting: A Comparative Study Based on Random Forest and Linear Regression
Authors: Zhang Jiayuan
Published: September 2024

This study focuses on the application of predictive models and prospect theory in the field of machine learning to predict financial asset prices. Here, the linear regression and random forest algorithms were employed to forecast the price values and fluctuations of two different financial assets: the S&P 500 index and Bitcoin prices. Meanwhile, this study compared the performance of different financial asset datasets before and after the introduction of prospect theory models. Through calculation and comparative analysis, this article provides an in-depth discussion on the predictive performance of regression models and classification models. The research results indicate that in most cases, simple linear regression models have high prediction accuracy. Meanwhile, this paper also found that introducing prospect theory can effectively improve the accuracy of prediction models for specific financial assets. This result has a positive impact on the financial industry, helping to optimize risk management and investment decision-making, improving efficiency at the market level and promoting information transparency, while also promoting the development of emerging financial formats in financial innovation
Tree narrative and AI interaction: Optimization and narrative bias handling prospects
Authors: Bi Yifeng
Published: September 2024

This paper reviews the current research on interactive narratives, particularly the tree narrative structure, analyzing the methods of player-AI interaction, the design of narrative branches, and the mechanisms by which player decisions influence the story's progression. It explores the definitions, classifications, and applications of tree narratives in gaming, emphasizing the significance of player-AI interaction and its impact on narrative outcomes. The study identifies and analyzes potential narrative deviations resulting from player-AI interactions within tree structures and introduces an AI-assisted automatic scoring system based on hypothesis testing and Bayesian analysis to effectively identify narrative biases.
Comparative analysis of machine learning and traditional models for financial option pricing
Authors: Wang Zhibo
Published: September 2024

This study conducts a comparative analysis of traditional and machine learning models for financial option pricing, using historical stock prices and interest rates data. Traditional models such as the Black-Scholes, Heston, Merton Jump-Diffusion, and GARCH are evaluated against machine learning models including Multi-Layer Perceptrons (MLPs) and Long Short-Term Memory (LSTM) networks. The analysis employs performance metrics like Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R value. Results indicate that the GARCH model excels in predictive accuracy due to its ability to capture volatility clustering, while machine learning models, especially the Tuned Neural Network, demonstrate superior flexibility and adaptability in managing complex non-linear relationships in financial data. Traditional models, although theoretically robust, show limitations under varying market conditions. The study underscores the potential of hybrid approaches combining traditional and machine learning techniques to leverage their respective strengths for more accurate and reliable option pricing. Future research directions include exploring advanced machine learning architectures and improving model transparency through explainable AI.
Deep learning in driverless: Research results, issues, challenges
Authors: Fu Jun
Published: September 2024

As computing and communication technologies continue to evolve, leading technology companies are investing significant resources in self-driving car techniques. With the use of deep learning in driverless driving, driverless cars are enabling them to sense, make decisions and control in complex environments, leading to truly autonomous driving. Deep learning is used for environment perception, which enables driverless cars to understand their surroundings by recognizing information such as road surfaces, pedestrians and vehicles, and also used for decision formulation, by predicting the behavior of other vehicles, pedestrians and identifying the environment around the road conditions to control the driverless car to make the optimal driving decision. But in order to achieve fully autonomous driving, there are still some technical aspects. Therefore, we deep learning in the existing driverless technology is reviewed, mainly discussing the application in the direction of driverless implementation and safety inspection. Through reading a large amount of literature, we discuss the problems that hinder the development of the driverless field, and at the same time, how to solve the problems in the future to promote the breakthrough of the driverless field. The application of deep learning in driverless not only enhances the intelligence level of driverless cars, but also prepares for the commercial application of driverless cars in the future. It enables driverless cars to better identify and adapt to complex traffic environments. Finally, realizing truly autonomous driving.
UAV path planning based on bird flock migration
Authors: Hao Ziqi
Published: September 2024

Unmanned aerial vehicle, generally referred to as UAV, due to its high-performance and low-cost characteristics, it is particularly widely used in both military and civil applications, and is often used to perform a variety of complex missions. Trajectory planning is the basis for UAVs to realize autonomous flight, which ensures that UAVs avoid obstacles and threatening areas when performing tasks, and guarantees the safe execution of tasks. The operation of a UAV requires finding the safest and most efficient trajectory from a starting point to a specified end point based on several specific constraints. Current UAV trajectory planning algorithms, such as swarm algorithm, particle swarm algorithm, and ant colony algorithm, have been widely recognized, but still have many limitations when they are applied to complex and variable terrain. Therefore, this paper proposes an improved UAV trajectory planning algorithm based on simulated bird migration, and uses matlab for simulation and algorithm evaluation. The simulation results indicate that the improved search strategy is effective, the algorithm can find a better solution in each iteration, and the search strategy of the algorithm can effectively guide the algorithm towards a more optimized region. Overall, this algorithm has high research value in both military and civilian fields.