bluuebunny/crossref_metadata_2025 huggingface dataset:
MODELING THE INFLUENCE OF INVESTMENTS IN FIXED CAPITAL IN THE NON-OIL SECTOR ON THE GROWTH OF MACROECONOMIC INDICATORS
Authors: Javadov Ramiz Javad , Samadov Bahruz Yagub
Published: February 2024

The purpose of the research is to formulate proposals and recommendations regarding the evaluation of the impact of the effective use of investments in fixed capital in the non-oil sector on the growth of macroeconomic indicators.

The methodology of the research is to evaluate, model and forecast the interrelationships and dependencies between the added value created in the non-oil sector, the commissioning of new fixed capital objects and investment indicators in the fixed capital using statistical and econometric methods.

The practical importance of the research - the models formulated in the article can be used to determine the changing prices of GDP in the non-oil sector under the influence of investments in the future, the model established in the formation of investment policy, to compare investment levels with the growth rate of GDP and to increase investment attractiveness.

The results of the research - in the article, the impact of investments on the main components of economic development, including the growth of GDP and capital funds in the non-oil sector, was analyzed using the correlation-regression method. In the analysis and research of such relations, the "Almon" method, which includes the effects on the result sign, taking into account the delay values (the effect of the delay on the result sign) was used. Based on the established model-relationship equation, an increase of 1 million manats in fixed capital investments in the non-oil sector in Azerbaijan in the studied period results in an increase of 1.67 million manats in GDP in the mentioned sector. The model built according to the Almon method shows that 57.4% of the impact of the investment on the growth of the fixed capital (ΔK) is realized in the first year, and 23.9% after one year. More than half, 86.4%, of the impact of non-oil investment on fixed capital growth (ΔK) occurs with a two-year lag, while 87.7% of the impact of investment on fixed capital growth is realized within three years.

The originality and scientific novelty of the research - the evaluation and modeling of the relationship and dependencies between macroeconomic indicators were studied. The data analysis functions of the SPSS software package were used to calculate the parameters of the relationship equation and evaluate the adequacy of the established model. The investment models formed as a result of the research allow predicting the result of investment costs and can be used in the analysis and planning of investments.
PROMOTING CUSTOMER REVIEWS IN THE ELECTRONIC BUSINESS ENVIRONMENT IN AZERBAIJAN
Authors: Dunyamaliyev Islam Elshan
Published: February 2024

The purpose of the research - is to investigate methods of encouraging buyers to write reviews about the purchased product in order to maximize potential customer acquisition and sales potential in the e-business environment.

The methodology of the research - observation, survey and comparative analysis methods were used in the research.

The practical importance of the research - both the obtained results and the application of the mentioned provisions in the e-business environment can be the important factors in achieving the goals of potential buyers buying the product, increasing the business's income, gaining the loyalty of its customers and long-term economic existence.

The results of the research - the official website and mobile applications of e-commerce businesses in Azerbaijan were analyzed, and directions for promoting customer reviews were determined.

The originality and scientific novelty of the research - the possibilities of encouraging buyers to write reviews in different ways on e-commerce businesses in Azerbaijan have been discovered and the possibilities of using them in competition with other businesses have been substantiated.
JUDGEMENTS ON THE IMPROVEMENT OF CERTAIN PROVISIONS OF THE LAW "ON COURTS AND JUDGES" OF THE REPUBLIC OF AZERBAIJAN
Authors: Hasanova Shalala Shakir
Published: February 2024

The purpose of the research – is to develop specific legislative proposals for improving some provisions of the Law of the Republic of Azerbaijan "On Courts and Judges."

The methodology of the research – is a set of methods such as critical thinking, systemic analysis and comparative jurisprudence.

The practical importance of the research – is that by executing the content of the article, the Milli Majlis of the Republic of Azerbaijan can improve the current legislation.

The results of the research – are reflected in the developed models of new articles of law and new editions of existing articles.

The originality and scientific novelty of the research – the originality of the study lies in the fact that it consists of previously unpublished author's ideas. The scientific novelty of the study is that the legislative proposals reflected in it are presented to the legal community of Azerbaijan for the first time.
ADVERTISING MARKET DEVELOPMENT WAYS IN GLOBALIZATION
Authors: Dadashov Farid Mehdi
Published: February 2024

The purpose of the research - is to explore and explain effective strategies for advertising market development in the context of globalization, providing insights on how to overcome challenges and seize opportunities in the evolving global landscape.

The methodology of the research - the research combines quantitative analysis of global advertising trends and qualitative studies of market data, including qualitative studies, to gain comprehensive insights into the ways in which the advertising market is evolving in the face of globalization.

The practical importance of the research - this research provides valuable insights for industry professionals, policymakers and academics, suggesting effective strategies for businesses to adapt their advertising approaches and promote global competitiveness and sustainability in an interconnected and diverse market environment.

The results of the research - the findings of this study reveal nuanced approaches to global advertising development, emphasizing the importance of cultural sensitivity, strategic partnerships, and technological integration, providing a roadmap for business development in an era of globalization.

The originality and scientific novelty of the research - this research contributes to the academic discourse by synthesizing existing knowledge with new perspectives. The scientific novelty of the research is in its unified approach, combining quantitative and qualitative methods to provide a multifaceted understanding of the challenges and opportunities faced by the advertising market in the context of globalization, ultimately creating a foundation for innovative and effective strategies.
The Assessment of the Usability of Health Information Systems in Referral Hospitals in Tanzania: A Case of Geita Regional Referral Hospital
Authors: Kavuta Karisha , Charles Peter
Published: February 2024

This study assesses the usability of the health information system in referral hospitals in Tanzania. The study divided the research participants into two strata, including service providers and service recipients, to ensure balanced opinions. The participants were obtained using a simple random sampling technique. The mixed-research approach was applied to collecting both quantitative and qualitative data. A questionnaire and an unstructured interview guide were used in data collection. The findings revealed that the usability of the health information system at Geita regional referral hospital is adequate, despite a few insights that should be taken into consideration to maximize its usability, quality of service delivery, and increased level of acceptance. The usability factors that were perceived positively include visibility, navigation, and easy retrieval of data. On the other hand, although factors including task-technology match, report generation capability, stock level management notifications, and the ability to manage queues were positively perceived, it was found that a significant percentage of participants were not sure or disagreed. Additionally, despite the usability challenges, the use of the health information system at Geita Regional Referral Hospital has resulted in improved quality of healthcare provision in terms of reduced waiting time, easy and quick patient data retrieval, a proper payment system, and equitable service.
Assessment of the Impacts of Cyber Security on Student Information Management Systems
Authors: Kifaru Frowin , Kavuta Karisha , Semlambo Adam
Published: February 2024

The pervasive use of technology in education has posed a security challenge that could jeopardise student data and educational institutions' reputations, necessitating a thorough investigation. This study explores the impact of cybersecurity on Ruaha Catholic University's Student Information Management System. The research mainly employed a quantitative approach, with data collected through questionnaires administered to a diverse sample of 374 individuals, encompassing students and staff. In addition, a qualitative method was used to acquire data on the organisation's readiness to prevent cybersecurity threats from key informants, including system administrators and top management personnel. The Statistical Package for the Social Sciences (SPSS) software analysed the quantitative data using descriptive analysis. The study's results underscore the pressing need to develop effective cybersecurity mechanisms in the education sector, specifically focusing on enhancing the security of Ruaha Catholic University's Student Information Management System. The study recommends formulating and implementing robust cybersecurity strategies to safeguard student information, fortify system resilience, and bolster the institution's overall cybersecurity posture.
Estratégias colaborativas entre a indústria da moda e dos games
Authors: Lisot Paula Winter , Schreiber Dusan , Valiati Vanessa Amália Dalpizol , Schmidt Serje
Published: February 2024

No ambiente digital a maioria dos indivíduos, de todas as faixas etárias, considera os jogos como sua forma favorita de entretenimento. Esse cenário despertou o interesse da indústria da moda em fazer aproximações com as plataformas de jogos. Nessa perspectiva, este estudo tem como objetivo evidenciar as estratégias colaborativas entre as indústrias da moda e dos games no consumo de moda digital. A metodologia utilizada é caracterizada como de natureza aplicada, em que objetivo de estudo foi descritivo por meio de estudo de caso com abordagem qualitativa. A estratégia colaborativa analisada foi entre as empresas Riot Games e Louis Vuitton, e os instrumentos de coleta de dados utilizaram entrevistas e pesquisas documentais. Ao fim, conclui-se que as estratégias colaborativas entre as indústrias da moda e dos games no consumo de moda digital podem beneficiar as duas empresas envolvidas.
Identification of Factors Influencing Educators Perception of Blended Learning and Triggering Adoption Decisions
Authors: Kassably Caroline , Ashaal Ahmad , Tahan Suha , Bouzakhem Najib , Youssef Samia , Ghosn Fadi
Published: February 2024

This study employs theoretical frameworks from the past to determine the factors that drive instructors to adopt blended learning (BL). Using a quantitative approach, the extended Technology Acceptance Model (TAM) was utilized to examine a sample size of 302 instructors from four multi-campus Lebanese universities that offer a business degree. The research findings indicate that ease of use has a positive impact on both attitude and usefulness towards BL. Furthermore, the perceived usefulness of BL positively influences the attitude and intention to use the system. To achieve greater adoption of BL, technical support should be a central component of educators' provision since it has a positive effect on the perceived ease of use. Additionally, subjective norms, such as positive image and usefulness, have a positive influence on educators, as they are influenced by important people in their lives, including their supervisors, as well as by the group's positive image.
The Effect Of Leadership Qualities On Organizational Commitment Among Bureaucrats; Emotional Intelligence As A Moderator
Authors: Batool Aqsa , Ahmed Saba , Naveed Shaheryar , Bilal Muhammad Amjad , Khan Muhammad Afraz , Nawaz Sabahat
Published: February 2024

Organizational commitment occupies a paramount position within the realm of organizational progress. The current study intended to analyze the effect of leadership qualities of bureaucrats on the organizational commitment by analyzing the moderating effect of emotional intelligence. A cross-sectional design based on survey method was induced into the study. Data were collected adopting convenience sampling from bureaucrats (n=302) serving in different administrative sectors of Pakistan. The measured instruments were three questionnaires of The Wong and Law Emotional Intelligence Scale (WLEIS), Leadership Qualities Questionnaire and Organizational Commitment Questionnaire. SPSS version 27 by applying Hayes Process Macro Model was used to analyze the data. The ultimate findings of Pearson Product Moment revealed that there is a positive significant correlation between leadership qualities, organizational commitment and emotional intelligence. The Hayes Process Macro Model unraveled the moderated effect of emotional intelligence that strengthens the congruent bond between leadership qualities and organizational commitment. By prioritizing emotional intelligence alongside leadership skills, they can foster a culture of commitment and engagement among bureaucrats.
The Impact Of ESG Techniques On ROIC And EPS For Manufacturing Firms: Research From Listed Companies In India
Authors: Kalani Ridhi , Sengupta Dr. Anirban , Didwania Dr. Manish
Published: February 2024

Companies that are publicly traded worldwide are shifting their focus away from maximizing short-term profits to achieving long-term environmental, social, and governance (ESG) objectives. The growing importance of environmental sustainability concerns is now recognized by most business leaders. They have started to believe that an organization's financial health and reputation in the marketplace may be affected by this. A study recently concluded that companies that have strong ESG performance may be able to enhance their financial performance. The question of how ESG affects financial performance has received little attention in India. Our study examines the link between ESG operations and financial indices in India's publicly traded firms by analyzing dynamic and static panel data. Our initial step is to gather financial data from Bloomberg and preprocess it using descriptive statistics. The consequence of ESG variables on the financial performance of the manufacturing companies during 2018 to 2022 was investigated. The analysis was done based on 701 BSE manufacturing companies’ year-wise data. The independent variable is the ESG scores; the dependent variables are performance indicators, i.e., Return on Invested Capital (ROIC) and Earnings per share (EPS).  The control variable that is employed: Firm size.

The empirical findings indicate that ESG doesn’t have a substantial positive impact on performance. However, the relationship between ESG disclosures do vary if measured individually; the disclosures are found putting positive effect on ROIC but EPS.

Financial performance may be improved through ESG activities, which could have an impact on investors, business administrators, decision-makers, and industry regulations.
PERANCANGAN APLIKASI KEAMANAN PESAN MENGGUNAKAN ALGORITMA ELGAMAL DENGAN MEMANFAATKAN ALGORITMA ONE TIME PAD SEBAGAI PEMBANGKIT KUNCI
Authors: Fauzi Achmad , Maulita Yani , Novriyenni Novriyenni
Published: February 2024

Pengamanan pesan diperlukan dalam rangka untuk mencegah pesan yang didistribusikan dapat dibuka oleh pihak lain yang tidak berkepentingan di mana pada akhirnya dapat mengancam kemanan dan kenyamanan dari si pengirim maupun penerima pesan tersebut. Untuk mengamankan pesan tersebut dalam dilakukan penerapan ilmu kriptografi yang bertujuan untuk mengubah pesan asli (plaintext) menjadi pesan terenkripsi (ciphertext), di mana untuk membukapesan tersebut memerlukan kunci.Algoritma One Time Paddikenal dengan nama holygrail algorithm dikarenakan algoritma kriptografi One Time Pad adalah algoritma yang sempurna yang tidak bisa dipecahkanbiarpun begitu algoritma One Time Pad memiliki kelemahan dalam menjaga kerahasiaan atau keamanan kunci sehingga harus diberikan pengamanan pada kunci agar kunci dari OTP itu selama pengiriman terjaga kerahasiaanya. Sedangkan pada algoritma asimetri atau kunci publik ada algoritma Elgamal yang juga mempunyai keamanan yang tinggi karena kompleksitas algoritmanya.Dengan disuper enkripsikannya algoritma one time pad dan ElGamal tersebutdapat meningkatkan keamanan pada pesan dan juga dapat menjaga kerahasiaan atau keamanan kunci dari one time pad selama proses pengiriman pesan dan kunci
PERBANDINGAN ALGORITMA MESSAGE DIGEST-5 (MD5) DAN GOSUDARSTVENNYI STANDARD (GOST) PADA HASHING FILE DOKUMEN
Authors: Benedict Marthin , Budiman Mohammad Andri , Rachmawati Dian
Published: February 2024

Dokumen elektronik memiliki sifat terbuka, artinya isi dokumen dapat dibaca dan diubah dengan mudah oleh pihak-pihak yang tidak berhak. Hal tersebut menyebabkan integritas dokumen menjadi tidak terjamin. Integritas dokumen elektronik dapat dijamin dengan menggunakan teknik kriptografi, salah satunya hash function. Ada banyak algoritma yang dapat digunakan untuk hashing file atau dokumen, dua algoritma diantaranya adalah algoritma Message Digest-5 (MD5) dan algoritma Gosudarstvennyi Standard (GOST). Secara garis besar, kedua algoritma mengambil panjang isi file atau pesan dalam bit lalu dibagi menjadi blok-blok bit setelah itu pada setiap blok akan dilakukan operasi matematika sehingga menghasilkan 128 bit nilai hash pada Message Digest-5 (MD5) dan 256 bit nilai hash pada Gosudarstvennyi Standard (GOST). Setelah itu, nilai hash diubah dalam bentuk heksadesimal sehingga Message Digest-5 (MD5) akan menghasilkan 32 karakter heksadesimal nilai hash dan 64 karakter heksadesimal nilai hash pada Gosudarstvennyi Standard (GOST).
PELATIHAN JARINGAN UNTUK MENINGKATKAN JIWA KEWIRAUSAHAAN SISWA SMK (IbM)
Authors: Pardede Akim Manaor Hara , Novriyenni
Published: February 2024

Jurusan bidang informatika mencakup Teknik Komputer Jaringan, Audio Visual, Design Grafis, Teknik Informatika, dll terus meningkat baik tingkat sekolah menengah maupun tingkat perguruan tinggi. Jumlah pengangguran terbesar pada kabupaten Langkat saat ini adalah tamatan SMA/SMK/SMA, hal ini terkait dengan semakin tinggiya tingkat pendidikan masyarakat, yang umumnya telah tamat SLTA melanjut ke perguruan tinggi. Banyaknya peminat jurusan bidang informatika mengakibatkan kuatnya persaingan para lulusan untuk mendapatkan pekerjaan, sehingga perlu ada upaya penanggulangan untuk meningkatkan skill siswa-siswi dan lulusan jurusan bidang informatika agar tidak semata-mata ingin mencari perkerjaan tetapi mampu membuka lapangan kerja. STMIK Kaputama merupakan perguruan tinggi pertama dalam bidang informatika di Kota Binjai. Kaputama merupakan singkatan dari Karya Putra Utama, sesuai dengan tugas utamanya melaksanakan tridharma perguruan tinggi maka dosen STMIK Kaputama terus melakukan kegiatan pengajaran, penelitian dan pengabdian masyarakat, melihat kuatnya persaingan lulusan dan kebutuhan masyarakat Kabupaten Langkat dan sekitarnya, dosen STMIK Kaputama merasa terpanggil untuk melaksanakan pengabdian masyarakat untuk meningkatkan skill siswa SMK Swasta Esa Prakarsa dan SMK Harapan Bangsa Kuala dalam bentuk pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet untuk membangun jaringan warnet, perkantoran dan internet desa dalam meningkatkan kemandirian siswa. Dengan adanya pelatihan perakitan komputer, instalasi sistem operasi dan pemasangan jaringan lokal dan internet, diharapkan siswa-siswi SMK Swasta Esa Prakarsa dan SMK Swasta Harapan Bangsa Kuala dapat lebih meningkatkan skill dan jiwa wirausahaan sehingga mereka mampu berwirausaha sekaligus membuka lapangan kerja secara khusus untuk dapat menerima perbaikan komputer dan membangun jaringan warnet, jaringan internet perkantoran dan jaringan internet masuk desa. Selain adanya jiwa wirausaha, masyarakat juga terbantu khususnya pedesaan agar percepatan informasi dan komunikasi dapat lebih meningkat.
SIMULASI ANTRIAN PELAYANAN BANK DENGAN MENGGUNAKAN METODE GAMMA
Authors: Saragih Christian Adi Pratama , Pardede Akim Manaor Hara , Lumbanbatu Katen
Published: February 2024

Penelitian ini membahas simulasi antrian di bank dengan menggunakan metode gamma. Tujuan penelitian ini adalah untuk merancang dan menerapkan metode gamma untuk mensimulasikan antrian layanan pelanggan bank. Dalam sistem antrian biasanya ada tiga komponen yang saling berhubungan satu sama lain kedatangan, antrian atau antrean. Melalui simulasi yang akan dilakukan dapat dilihat bahwa kinerja sistem yang diamati akan dikoreksi sehingga mendapatkan perbaikan agar benchmark untuk layanan dapat berjalan lebih baik lagi. Dalam penelitian ini peneliti menggunakan distribusi Poisson untuk kedatangan pelanggan tunggal dengan teller tunggal dan antrian tunggal mengikuti aturan FIFO. Berdasarkan hasil penelitian, ada empat server yang memadai untuk melayani, jika hanya satu server akan menghasilkan waktu tunggu rata-rata yang sangat panjang yang menyebabkan pelanggan bosan, sementara dengan dua server masih menghasilkan rata-rata lama menunggu waktu dan menyebabkan antrian, jika menggunakan tiga server jumlah waktu tunggu tidak terlalu lama dan tidak membuat antrean panjang. Untuk penelitian selanjutnya diharapkan akan dikembangkan simulasi antrian yang memiliki kedatangan atau layanan dengan distro lain dan dapat digunakan sebagai acuan dalam pengambilan keputusan guna memaksimalkan waktu layanan pelanggan atau menambah jumlah server sebagai pelayan, dan meminimalkan server jika dianggap berlebihan dalam layanan untuk meminimalkan biaya operasional
KOMPARASI ALGORITMA KLASIFIKASI DATA MINING UNTUK MEMPREDIKSI TINGKAT KEMATIAN DINI KANKER DENGAN DATASET EARLY DEATH CANCER
Authors: Rahayuningsih Panny Agustia
Published: February 2024

Cancer is something big in the world. Cancer is a malignant disease that is difficult to cure if the spread is too wide. However, detecting cancer cells as early as possible can reduce the risk of death. This study aims to predict the level of early detection of disasters in European countries using 5 classification algorithms, namely: Desecion Tree, Naïve Bayes, k-Nearset Neighbor, Random Forest and Neural Network of which algorithm is the best for this study. Tests carried out with several stages of research include: dataset (data contains), initial data processing, proposed method, credit method using 10 times cross validation, test results and t-test different tests. The alpha value is 0.05. if the probability is> 0.05 then H0 is accepted. If the probability is <0.05 then Ho is rejected. The results of the research that obtained performance with an accuracy value of 98.35% were the Neural Network algorithm. Whereas, the results of the research using the algirtic t-test with the best models are: Random Forest algorithm and Neural Network, the relatively good Naïve Bayes algorithm, the Desecion Tree algorithm is quite good and the poor algorithm is the K-Nearset Neighbor (K-NN) algorithm.
PENGARUH SISTEM PENGAPIAN CDI AC DAN DC TERHADAP KADAR GAS BUANG CO,HC DAN KONSUMSI BAHAN BAKAR PADAMESIN 110 CC
Authors: MUNTHE IMMANUEL
Published: February 2024

Motorbikes are the most effective means of transportation for the people of Indonesia, in addition to being affordable motorbikes can be used in a variety of road terrain. The main purpose of this study is to compare the performance of the DC CDI ignition system and the CDI AC ignition system in terms of fuel efficiency in comparing motorbikes DC CDI ignition system performance and CDI AC ignition system in terms of HC and CO gas emissions produced on motorbikes The method used to obtain the data needed to support this research is to conduct research with experimental literature study methods many authors use various supporting factors / input and supporting books related to the title discussed, where this study aims to compare the performance of the DC CDI ignition system and the AC CDI ignition system in terms of fuel efficiency and exhaust emissions produced on motorcycles. this study There are performance differences between magneto type ignition (CDI AC) and battery ignition (CDI DC) when viewed from CO and HC emissions on a 110 cc motorbike at 1000 rpm, 1500 rpm and 2000 rpm CDI AC generates more Emissions great compared to DC CDI at all engine rpm levels.
PENERAPAN TEKNIK SAMPLING UNTUK MENGATASI IMBALANCE CLASS PADA KLASIFIKASI ONLINE SHOPPERS INTENTION
Authors: Ardiyansyah Ardiyansyah , Rahayuningsih Panny Agustia
Published: February 2024

Online shopping or e-commerce is a transaction process carried out through intermediary media in the form of online trading sites and social media that provide goods and services that are traded. Much research has focused on predicting realtime income for shopping web sites. The dataset consists of 10 numeric attributes and 8 category attributes. In this dataset, there is a possibility that there is an unbalanced target variable. Where, this is the case for each individual target value in the dataset. online shopper inttention aims to predict whether users generate revenue or not. Class imbalance occurs when the minority class is smaller than the majority class. Using unbalanced data will result in a minority class producing low accuracy values. Sampling methods are SMOTE, Undersampling and Oversampling To overcome the problem of class imbalance (imbalance class) as a measurement of performance. whereas, the classification algorithm method used is random forest, KNN, and Naive Bayes. The results of the evaluation and validation, it can be concluded that the best sampling method in overcoming the imbalance class in this study is the oversampling method. The random forest model without sampling has the highest f-measure value than the other models, which is 0.898. After applying the sampling method, the results of the comparison between the smote + random forest, undersampling + random forest and oversampling + random forest models. The best model with the highest f-measure and AUC is the oversampling + random forest model, the f-measure is 0.976 or 98% and the AUC value is 0.998. So the oversampling + random forest model is the best model in the study of the application of sampling techniques in overcoming the imbalance class in the online shopper intention enthusiast classification.
PENGUKURAN KUALITAS WEBSITE PENJUALAN TIKET DENGAN MENGGUNAKAN METODE MCCALL
Authors: Hanes Hanes , Angela Angela , Br Sembiring Salsalina
Published: February 2024

Ticket reservations through agents or ticket sales points are very conventional. The web is the choice media to sell tickets for now. Customers can easily buy tickets like transportation ticket, events, and playground tickets through the web. Problems faced by some web users are the lack of responsiveness of the web, unstable connections, difficult usage, and the possibility of payment failure when transaction is done. Therefore, it is necessary to measure software quality using the McCall method. From the measurement results, web ticket sales get 80.56% which means the quality of the ticket sales web is good. Although the overall result is considered good, but ticket sales service providers must continue to improve the quality of the web.
ANALISIS DESAIN GRAFIS MENGGUNAKAN TEKNOLOGI KOMPUTER BERBASIS SOFTWARE CORELDRAW
Authors: Syahputra Lubis Mhd. Dicky , Riki Ulfakh Sinaga Hari Fana , Delfriati Batubara Anggreini , Maulia Anggraini Elsa , Syafitri Saragih Firda
Published: February 2024

Pentingnya membuat berbagai desain grafis menggunakan aplikasi software CorelDraw dengan metode belajar praktis dan mandiri dapat meningkatkan softskill mahasiswa. Penelitian dilakukan secara langsung yaitu melalui observasi. Subjek penelitian ini adalah beberapa mahasiswa dan alumni dari berbagai jurusan dan orang-orang yang tidak dapat melanjutkan pendidikan ke perguruan tinggi. Parameter keberhasilan dari penelitian ini yaitu ketika pengguna sudah mampu mengoperasikan icon-icon yang tersedia di software CorelDraw sesuai fungsinya. Untuk hasil yang maksimal, pengguna hanya perlu terus berlatih dan terus mencobanya. Berdasarkan hasil penelitian diketahui bahwa: (1) Pemanfaatan program aplikasi software CorelDraw dapat meningkatkan softskill dan kreatifitas siapa saja termasuk mahasiswa. (2) Pemanfaatan program aplikasi software CorelDraw dapat meningkatkan kerja otak bagi siapa saja termasuk mahasiswa. (3) Pemanfaatan program aplikasi software CorelDraw dapat membuka peluang bisnis bagi siapa saja termasuk mahasiswa. (4) Pemanfaatan program aplikasi software CorelDraw dapat menjadi nilai jual siapa saja ketika bersaing di sebuah perusahaan.
RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PENDAPATAN JASA PADA RUMAH SUSUN SEDERHANA SEWA (RUSUNAWA) HARAPAN JAYA PONTIANAK
Authors: Ardiyansyah Ardiyansyah , Iramayani Iramayani
Published: February 2024

Rusunawa Harapan Jaya Pontianak merupakan instansi yang bergerak dalam bidang pelayanan jasa khusus penyewaan kamar susun bagi masyarakat kota Pontianak yang membutuhkan tempat tinggal. Lokasi Rusunawa Harapan Jaya berada di Jalan Harapan Jaya, Kecamatan Pontianak Selatan, Kalimantan Barat dengan luas sebesar 5.701 m. Sistem yang ada pada Rusunawa masih diolah secara konvensional menggunakan buku jurnal pendapatan sehingga proses pengolahan memerlukan waktu yang banyak dan juga rentan terjadi kesalahan. Maksud dari penelitian ini adalah untuk menghasilkan system berbasis web dan memberikan solusi untuk mengatasi kelemahan dalam proses pengolahan serta pembuatan laporan. Metode penelitian ini menggunakan metode penelitian deskriptif yang dilakukan berdasarkan hasil observasi dan pengamatan langsung tanpa adanya manipulasi data. Pada penelitian ini penulis menggunakan metode pengembangan perangkat lunak dengan model air terjun (Waterfall). Dari hasil penelitian dan masukkan dari beberapa sumber, penelitian ini menghasilkan system informasi berbasis web yang memiliki beberapa fitur diantaranya data rumah, data penghuni, transaksi pendapatan, transaksi beban sewa, dan laporan jurnal.
PENERAPAN METODE PROFILE MATCHING UNTUK PENENTUAN PEMAIN IDEAL PESERTA O2SN CABANG OLAHRAGA SEPAK TAKRAW
Authors: Permana Muhammad , Kusdinar Asep Budiman , Pri George
Published: February 2024

O2SN merupakan gelaran pekan olahraga nasional yang mempertandingkan berbagai macam olahraga antar siswa dengan jangkauan area nasional. Dalam gelaran pertandingan olahraga nasional tersebut sepak takraw merupakan salahsatu cabang olahraga yang dipertandingkan. Sepak takraw merupakan permainan bola besar lapangan yang bertemakan tim sehingga nilai-nilai tim harus dimiliki untuk memenangkan permainan kompetitif ini. Permasalahan yang biasa terjadi dalam lapangan ialah keputusan pelatih yang kadangkala tidak memiliki nilai tolak ukur dalam penentuan pemain yang akan bertanding. Sehingga dalam kombinasi tim yang dipasangkan tidak stabil dan kurang maksimal. Penelitian ini dilakukan untuk membantu penentuan kualifikasi pemain sepak takraw dalam mengikuti permainan kompetisi tersebut agar lebih mendapatkan hasil yang ideal. Pengklasifikasian yang dilakukan menggunakan metode profile matching, metode profile matching juga disebut sebagai metode gap atau jarak yang mekanisme perhitungannya adalah dengan mengasumsikan bahwa terdapat tingkat variabel prediktor yang ideal yang harus dipenuhi oleh subyek yang diteliti, bukan tingkat minimal yang harus dipenuhi atau dilewati. Hasil akhir dari penelitian ini adalah menghasilkan sistem yang dapat membantu nilasi potensi dari suatu pemain sehingga pelatih memiliki tolak ukur dalam mengklasifikasikan ketegori pemain berbobot dari calon pemain sepak takraw yang akan berkompetisi dengan pemenuhan nilai 16 prediktor nulai kompetensi yang ditentukan sebelumnya.
DATA MINING PENGELOMPOKAN INDUSTRI KECIL DAN MENENGAH BERDASARKAN HASIL PRODUKSI MENGGUNAKAN METODE CLUSTERING DI KABUPATEN LANGKAT
Authors: Hasna Lidya , Buaton Relita , Syahputra Siswan
Published: February 2024

Industri Kecil dan Menengah (IKM) adalah rangkaian kegiatan dan ekonomi yang meliputi pengolahan, pengerjaan, pengubahan, perbaikan bahan baku atau barang setengah jadi menjadi barang yang berguna dan lebih bermanfaat untuk pemakaian dan usaha jasa yang menunjang berbagai kegiatan. Pada saat ini, jumlah IKM di Kabupaten Langkat terus meningkat, banyaknya data IKM yang pengelompokannya masih acak dan tidak teratur menyebabkan bagian Perindustrian cukup kesulitan dalam mengelompokan data IKM tersebut berdasarkan Kecamatan, Jenis Industri dan Hasil Produksi.Tujuan dari penelitian ini adalah untuk menerapkan Algoritma K-Means dalam mengelompokan data IKM di Kabupaten Langkat serta untuk memberikan informasi tambahan mengenai perkembangan dan pertumbuhan IKM yang berada di Kabupaten Langkat. Diperoleh hasil pengelompokan menjadi 3 cluster yaitu pada cluster 1 berjumlah 7 data dimana kelompok industri kecil dan menengah pada Kecamatan (X) Kutambaru dengan Jenis Industri (Y) adalah Industri makanan ringan dan Hasil produksi (Z) adalahTempe, cluster 2 berjumlah 6 dimana kelompok industri kecil dan menengah pada Kecamatan (X) Sawit Seberang dengan Jenis Industri (Y) adalah kerajinan/anyaman dan Hasil produksi (Z) adalah Ukir Batu akik, dan cluster 3 berjumlah 6 data dimana kelompok industri kecil dan menengah pada Kecamatan (X) Brandan Barat dengan Jenis Industri (Y) adalah Bangunan/Mebel/Logam dan Hasil produksi (Z) adalah Industri Kayu.
Analytical Hierarchy Process (AHP) and Superdecisions to Select Building Material for Housing Construction at New Capital Nusantara (IKN), East Kalimantan, Indonesia
Authors:   Pt Struktur Pracetak Nasional, Jakarta, Indonesia, Haryonugroho Elisa , Dinariyana AAB ,   Pt Struktur Pracetak Nasional, Jakarta, Indonesia
Published: February 2024

AHP by Saaty and Super Decisions decided on eight criteria for five alternative building materials in Bew Capital Nusantara. It is designed to facilitate decision-making processes using multi-criteria decision analysis (MCDA) methods. MCDA methods are used when decisions involve multiple criteria or factors. Weighting by these two tools has been able to explain to construction actors that for a housing project location which is 99km from Samarinda to IKN by land, about 1,343 km from Surabaya by land, and 74.6 km from Balikpapan, which can be reached by land. Selection through weighting on both tools, AHP and Super Decision, ensuring that a total of 11,880 housing units with a total budget of IDR 45.2 trillion use materials that meet the requirements for cost, easy-to-work-with, performance, and physical properties.
Learning Appreciation By Innovation (L.A.B.I.) Model: BANKING ON THE ATMs OF SPEECH WRITING
Authors:   Benguet State University, Philippines, N. Labi Adamson
Published: February 2024

This research highlights the importance of effective speech writing across diverse fields, recognizing challenges posed by our ever-changing technological landscape. Research introduce the Learning Appreciation by Innovation (L.A.B.I.) Model is a groundbreaking framework that aims to transform speech writing. This research model blends traditional principles with cutting-edge technology, empowering speechwriters at all levels and fostering both technical expertise and a profound appreciation for the art of speechwriting. Within the literature review chapter, there is a detailed exploration of existing theories, models, and research related to speech composition, communication art, educational innovation, and technology. Research emphasizes the intersection of artistry and craftsmanship in speech writing, the evolving landscape of speech composition in the digital era, and the potential of innovation in education. The review leads to the introduction of the L.A.B.I. Model as a visionary framework that bridges traditional teaching methods with the demands of modern communication. The research methodology chapter outlines our research approach, focusing on secondary research through academic journals, books, and online databases. Research details the search strategy, data sources, extraction process, and ethical considerations, establishing a strong foundation for the subsequent literature review. In the research analysis chapter, we delve into themes and key findings derived from literature analysis. Further, this research discusses components of the L.A.B.I. Model, its innovative nature, its impact on speech writing skills, and the role of technology. Synthesis and discussion highlight the model’s potential to revolutionize speech writing education by addressing both technical and creative dimensions.The conclusion chapter of the research briefly summarizes key findings and insights from the literature and data analysis. Research further underscores the holistic strategy of the L.A.B.I. Model, its adaptation to modern communication trends, its reliance on technology, and its focus on cultivating learning appreciation. The research discusses the implications for speech writing education and broader fields, proposing future directions for empirical research and comparative studies. The research chapter aids in concluding by confirming L.A.B.I. Model’s effectiveness in preparing speechwriters for success in the dynamic communication landscape.
From Data to Compliance: The Role of AI/ML in Optimizing Regulatory Reporting Processes
Authors: Tillu Ravish , Muthusubramanian Muthukrishnan , Periyasamy Vathsala
Published: February 2024

This paper explores the integration of artificial intelligence and machine learning (AI/ML) technologies in optimizing regulatory reporting processes. It examines how AI/ML algorithms can streamline data analysis, interpretation, and compliance within regulatory frameworks. By leveraging advanced algorithms, organizations can enhance the efficiency and accuracy of regulatory reporting, leading to improved compliance outcomes. The paper highlights key applications of AI/ML in regulatory reporting and discusses challenges and considerations associated with their implementation. Furthermore, it emphasizes the potential benefits of adopting AI/ML-driven approaches for regulatory reporting processes across various industries.
WANO policy brief
Authors: Teräs Jukka , Flick Helge , Hjertø Lind Anders Torgeir , Heleniak Timothy
Published: February 2024

Waste management in the northern latitudes is often more challenging than in the more central regions. Under the Arctic climate conditions with large distances between settlements and to the recycling facilities, and relatively smaller markets and volume of produced waste, there are special needs for developing new innovative solutions for waste management. WANO focuses on cross-border business and innovation cooperation in the field of waste management, including municipal and industrial waste, in the regions of Troms, Finnmark and Nordland (Norway), Lapland and North Ostrobothnia (Finland) and Norrbotten (Sweden). The project identifies key actors, technologies, innovation trends, and cross-border collaboration possibilities in the Arctic waste sector. Among the lessons learned so far which are highlighted in this policy brief are that waste management in Norway has already taken important steps to promote innovation and cooperation but that there is a demand for additional knowledge-based expertise among the waste management actors in north Norway. Cross-border initiatives are welcomed in north Norway by the actors. The big hindrance seems to be “know-who”: the Norwegian actors need more information about the actors across the border in north Finland and north Sweden.
Measuring People’s Motivation to Go to the Movie Theatre
Authors: Zhao Xiyan
Published: February 2024

Over the years, theatres have existed, constituting art almost exclusively concerned with live performances, bringing people together, and sharing experiences. Walmsley (2011) explores the problem of concerning some of the key motivators of people attending theatres and establishes that the pursuit of emotional experiences and impact was a key motivator for people going into movie theatres, besides escapism and the desire to move away from the demands of life while relieving stress as Manolika and Baltzis (2020) indicate. Di Ferdinando’s (2020) exploration of the people’s motivating factors to theatre attendance deduced that individual needs of personal interest, socialization, entertainment, education, and escapism were key contributing factors besides the quality, diversity, and accessibility of the theatre offerings.
Type III neurons’ relationship with type II neurons (GABAergic neurons)
Authors: Zhou Yafei
Published: February 2024

Dopamine is the neurotransmitter known as a hormone. As it communicates messages between nerve cells, it plays an essential role in the reward prediction error (RPE), which measures the discrepancy between reality and expectation. In the past experiments conducted by Cohen et al., the researchers developed a system of three types of neurons that play significant roles in motivation and reward. The three neuron types are neuron type I, neuron type II, and neuron type III. Though type I and II neurons are known as Dopaminergic neurons and GABAergic neurons, we still do not know the identity of neuron type III. Therefore, in this proposal, I aim to focus on type III neurons and reveal their identity. I developed two aims, caveats, and contingencies for the research plan in this proposal. In the first aim, I identified the type III neurons by recording the firing rate of all neurons and identifying the transcriptomes of the other two types of neurons. Then, I identified the specific neurotransmitter and promoter to type III neurons. In the second aim, I investigated the function of type III neurons within the VTA by using the CRISPR engineering technique. The result of this proposal might contribute to the field of neuroscience as it reveals more information about type III neurons. By knowing this information, more researchers can conduct further experiments on these three types of neurons.
On the possibility of large-scale use of hydrogen fuel engines in real-life
Authors: Zhang Tianhao
Published: February 2024

A potential new technology that can offer clean and effective power for various transportation applications is hydrogen fuel engines, particularly in big mechanical transport vehicles like ships. This research examines the pros and cons of employing hydrogen-fueled engines in real-world applications compared to contemporary internal combustion engines and electric motors. According to the paper, hydrogen engines surpass traditional technology in every way, including power output, integration ability, and reduction of emissions. The paper also highlights a few of the challenges that need to be overcome to produce and transport hydrogen fuel, such as the effects that different hydrogen production technologies have on the environment, the economy, and society; the logistical and technical difficulties that come with transporting hydrogen in all its forms; and the infrastructure and legal requirements that need to be met to guarantee the security, dependability, and sustainability of hydrogen fuels. The paper concludes that additional study and development are required to overcome these challenges and allow hydrogen fuel engines to be extensively deployed in real-world applications.
From Loose Groups to Rigorous Organizations: The Transitional Logic of Chinese Fan Communities from the Perspective of Media Development
Authors: Fan Hefei
Published: February 2024

Currently, Chinese fan organizations demonstrate strong internal cohesion and efficient executive force, far exceeding previous fan groups. This article explores the development of Chinese fan communities and finds that the Internet, a new kind of media that breaks through time and space limitations, has caused this change. Firstly, the development of the Internet has made timely interaction between fans possible, strengthening the internal cohesion of fan groups. Besides, the information cocoon brought by personalized recommendation algorithms further makes the fan communities change into homogeneous groups with similar value orientations and high group identification regarding their respective idols.Meanwhile, the flow economy based on the Internet has prompted fan groups to seek ways to achieve efficient data labor, leading to the division of labor within fan groups. As a result, these previously loose fan groups evolve into rigorous organizations with a hierarchical structure, functional division of labor, and institutional norms. The common emotional foundation—is the recognition of idols; the common goal—is creating internet flow for idols; the field of collective action is the internet and social media platforms; and the mechanism of unified action—the hierarchical and functional system makes the current Chinese fan organizations unprecedentedly strong.
Artificial Intelligence and Productivity Improvement in the Digital Economy
Authors: Huang Haichuan
Published: February 2024

The digital economy and AI development have significantly revolutionized diverse sectors, profoundly influencing productivity. Focusing on agriculture and the artificial fiber manufacturing industry, this paper scrutinizes the impact of AI on productivity in these domains. By methodically analyzing prevalent literature, research studies, industry reports, and case studies, this investigation aims to elucidate how AI has heightened productivity within these sectors. The results exhibit substantial enhancements in resource optimization, yield enhancement, quality control, and efficiency resulting from the implementation of AI. Furthermore, the subsequent sections of discussion and conclusion elucidate these findings, emphasizing the potential advantages and enduring challenges concerning AI’s assimilation to ameliorate productivity within the digital economy.
Enhanced expression of the rice gene OsCTF using epigenetic regulation for low cadmium planting in Rice
Authors: He Jiahui
Published: February 2024

Rice is a major food crop and one of the most cadmium absorbing and bulk cereal crops. OsCTF, a gene involved in the efflux of heavy metal Cd in rice, which is closely related to the amount of Cd accumulation in rice. In this study, CRISPR-dCas9 technology was used to regulation of OsCTF 3 ‘- UTR demethylation in rice to improve the amount of OsCTF gene expression, which was detected by direct detection, using a Chop-PCR method to detect the methylation level in rice, and real-time quantitative PCR to detect the level of OsCTF gene expression; at the same time,cadmium stress was detected, DNA methylation was analyzed by sulfite sequencing and McrBC-PCR, and OsCTF gene expression was detected by differential expression gene analysis. OsCTF expression and cadmium accumulation in rice after demethylation of the OsCTF 3 ‘- UTR were measured by both direct and cadmium stress assays. Then, OsCTF 3 ‘-UTR demethylation level, OsCTF gene expression and cadmium accumulation in offspring were measured by self-cross method of transgenic rice. Finally, a new rice line with low cadmium accumulation was formed.