bluuebunny/crossref_metadata_2025 huggingface dataset:
Minimizing Total Harmonic Distortion of 7-Level Packed U-Cell Multilevel Inverter Using Whale Optimization Algorithm
Authors: Ebrahimi Faizulddin , Windarko Novie Ayub , Gunawan Agus Indra
Published: January 2024

This paper presents an innovative study introducing a novel design for a single-phase, 7-level inverter. The design combines the modified pulse width modulation (MPWM) technique with the compact packed U-cell (PUC) topology. We evaluate this inverter's performance through comprehensive simulations in the MATLAB Simulink software. Multi-level inverter (MLI) technology is crucial for high-power, medium-voltage energy control. However, using numerous semiconductor switches in traditional MLI setups poses challenges at higher voltage levels, including increased size, costs, and losses. To address these issues, our study proposes a transformative approach, emphasizing reducing active switches within the multi-level inverter architecture. Consequently, we introduce an innovative 7-level PUC-MLI design. This configuration not only reduces harmonic distortion but also addresses cost concerns. Strategically manipulating semiconductor switch sequences significantly enhances the inverter's operational efficiency. A notable contribution is our inventive method to reduce total harmonic distortion (THD) in the inverter's output voltage, achieved through a whale optimization algorithm (WOA). Implementing this algorithm substantially lowers THD levels. Importantly, this approach's effectiveness extends to various inverter topologies and levels, offering a substantial THD reduction without additional expenses.
Tren Global Penelitian Tentang Digital Twin: Analisis Bibliometrik
Authors: Lizar Yaslinda , Mal Novizam Defa , Butar-Butar Mhd Sufiananda , Guci Asriwan
Published: January 2024

Penelitian ini bertujuan untuk menganalisis perkembangan publikasi ilmiah bidang digital twin. Metode penelitian adalah kajian bibliometrik terhadap 16.504 artikel jurnal internasional terindeks Scopus periode 2014-2023. Hasil menunjukkan terjadi peningkatan publikasi yang signifikan dalam satu dekade terakhir, didominasi oleh Tiongkok, Jerman, Amerika Serikat, Inggris dan Italia. Sebagian besar publikasi adalah conference papers dan articles di bidang Engineering dan Computer Science. Berdasarkan analisis kata kunci, tema utama meliputi smart systems, machine learning, cloud computing, augmented reality, automation, dan big data. Kesimpulannya, antusiasme peneliti terhadap digital twin tercermin dari lonjakan publikasi global. Hal ini diperkirakan mendorong perluasan riset digital twin ke berbagai disiplin di masa depan.
Analysis The Success of Knowledge Management in Agile Team Study Case: Ecommerce in Indonesia
Authors: Yanpratama Agas , Raharjo Teguh
Published: January 2024

Information in organizations needs to be managed to gain a competitive advantage in competitions. E-commerce, one of the most prominent industries in Indonesia, has dynamic market conditions that frequently change requirements and recent layoffs, which can harm the companies if not correctly managed. Knowledge and information usually stored in a knowledge management system (KMS) are essential to negate this, and Agile software development methodologies can manage frequent requirement changes. However, a study about KMS's success in Agile teams, primarily e-commerce, needs to be conducted to know if KMS can help companies sustain their business in Indonesia. This research analyses the KMS success in Indonesia's e-commerce companies that use Agile as their software development methodologies. This study used a quantitative approach with 31 respondents who worked or previously worked in an e-commerce company in Indonesia, using Agile as software development methodologies and experienced using KMS daily. Data was processed and analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) and SmartPLS tools. The results of this study indicate that KMS net benefits in Agile teams in E-commerce in Indonesia are influenced by the user's intentions to use and user satisfaction when using the KMS.
Product Bundling Strategy for Office Supplies Retailer through Association Rules Mining: Comparative Study of Apriori and ECLAT Algorithms
Authors: Oetama Raymond
Published: January 2024

Our study aims to develop an effective bundled product promotion strategy for the office supply store to boost sales. The primary challenge is comprehending which product combinations align with customer preferences and cater to their needs. We leverage the Apriori and ECLAT algorithms for consistent rule generation, revealing robust associations between product purchases. Notably, a strong positive correlation rule emerges at a confidence level of 0.8, while at 0.9, no results are found. The identical rules derived from both algorithms signify their reliability. The shop owner employs two rules for bundled products based on a minimum Lift Ratio of 1.96. The first bundle focuses on 70gsm natural paper in Folio and Quarto sizes, capitalizing on their popularity, even though customers may prefer one size. The second bundle emphasizes notebooks, often bought together but in smaller quantities than paper products, reflecting diverse customer needs and behaviors.
Navigating the ERP Landscape: Unveiling the Key Drivers in Enterprise Resource Planning Success - A Comprehensive Literature Exploration
Authors: Rahmita Fehmi , Teguh Raharjo  , Venera Genia  , Aji Prasetyo
Published: January 2024

Organizations require information systems as a means of aiding decision-making processes. Enterprise Resource Planning (ERP) systems serve as information system tools that enhance work efficiency. They are considered the optimal solution for organizations seeking a competitive edge. The successful implementation of ERP systems offers numerous benefits to organizations. It is essential to note that while some organizations have encountered difficulties using ERP systems, others have succeeded. Implementing ERP systems poses a challenge for organizations, and this study aims to identify the critical success factors with ERP systems and get to know what category is most important to implementing ERP in an organization. This research identifies and categorizes the top five CSFs for successful ERP implementation: training and job redesign, adequate ERP software selection, clear goals and objectives, business process reengineering, and implementation strategy and timeframe. These CSFs are vital for organizations of all scales, offering a holistic framework for effective ERP integration. Through systematic analysis, the study maps these CSFs into four dimensions: Project Strategy, Project Structure, Information Systems, and People Management, highlighting the interplay between technology and human factors. This research underscores the enduring significance of ERP systems in the globalized business landscape and calls for continued exploration of evolving CSF trends to ensure ongoing organizational competitiveness and success. By following the outlined procedures, this study can be applied by organizations of different scales, including small and large businesses, to achieve effective ERP implementation. Integrating ERP systems will demonstrate advantages for organizations over the short and long run within the market context.
Practicality of E-Module Utilizing Meta-Creative Strategies
Authors: Rahmiati Rahmiati , Putri Mutia , Saputra Indra , Astuti Murni , Miga Dewi Siska
Published: January 2024

This study aims to create an e-module for beauty and makeup research. It places its focus on evaluating the practicality of the e-module through the utilization of the meta-creative strategy approach. This evaluation is carried out by assessing it with two distinct groups, which are lecturers and students. The outhor employs a systematic approach in evaluating the e-module with the meta-creative strategy. The primary criteria for assessment include ease of media usage, time efficiency, interpretation ability and equvalency. The analysis results indicate a high level of practicality for the e-module with meta-creative strategy used in this learning process. The lecturer and students both rated it highly, with scores of 0,92 and 0.87 respectively. These score reflect the favorable reception from both groups of stakeholders. These findings lend support to the concept of meta-creativity e-module developments and underscore the potential of educational technology in enhancing the learning experience.
Development of a Web-Based Correspondence Information System to Enhance Administrative Services in Higher Education
Authors: Misna Asqia
Published: January 2024

The administrative services for higher education have been greatly affected by the COVID-19 pandemic. This has also impacted STT-NF. Services to students, such as handling documents that previously required physical presence on campus, now transitioned to an online method. STT-NF has utilized the G-Suite service to facilitate online administrative services for students. However, G-Suite has its limitations, necessitating the development of a Document Submission Information System. The chosen development method for this system is a website employing the Waterfall methodology. After conducting observations and interviews with relevant stakeholders, we identified five issues that the document submission information system had experienced. There are three actors involved. From the previously identified issues, we derived eight solution analyses. Testing was conducted using the Blackbox method for the 11 document submission information system features. The testing results indicate that all features are functioning as intended and have passed successfully.
Artificial Intelligence for Caries and Tooth Detection in Dental Imaging: A Review
Authors: Nooraldaim Almonzer , Saed Adil
Published: January 2024

This review delves into the application of artificial intelligence (AI) and deep learning, particularly leveraging convolutional neural networks (CNNs), to enhance dental diagnostics and treatment planning. The primary focus is on the detection and classification of caries as well as the identification of teeth in diverse dental images. A thorough exploration was conducted across databases, including PubMed, IEEE Xplore, and arXiv.org, leading to the identification of 29 pertinent studies. These studies employ various neural network models, encompassing different dental image types and employing diverse performance metrics. The review succinctly outlines the key characteristics and outcomes of these studies, underscoring the remarkable accuracy and the promising potential of AI-driven approaches in the realms of caries detection and tooth identification.

Acknowledging the existing limitations within the current body of research, such as small or non-representative datasets, variations in imaging techniques, and a lack of interpretability in deep learning models, the review emphasizes the need for future investigations. It suggests potential research directions aimed at overcoming these challenges, thereby facilitating the seamless integration of AI into routine dental practices.
A Systematic Review of the Aspects and Benefits Agile Project Management Innovation
Authors: Fidyawan Miftahul Agtamas , Raharjo Teguh
Published: January 2024

Agile Project Management (APM) has developed throughout industries for years. Many companies chose APM for their initiatives. APM has been shown to help those who use it. Many APM adopters innovated and tailored the methodology. Innovation improved project agility. Innovation includes life cycle and development approach selection, processes, involvement, tools, methodologies, and artifacts. This study performed a Kitchenham-based systematic literature review in three steps: planning, conducting, and reporting systematic review. The 23 articles were chosen from ACM Digital Library, EBSCOhost, IEEE Xplore, Sage Journals, ScienceDirect, and Semantic Scholar. Journal articles or conference papers were possible. The findings of this study showed that PMBOK 7th Edition could map all previous studies into related innovation aspects. Then, the review demonstrated that each innovation improved the PMBOK 7th Edition performance domain. Finally, this study showed that organization-driven innovation could benefit the organization.
Building a Low-Cost Lora Gateway based on .Net Core for Fast Development and Easy Integration
Authors: Haryono
Published: January 2024

In the world of IoT, it is involving many devices, each Node needs to send/receive the data from/to Datacenter. The Lora Gateway is usually used to achieve that communication. There are many ways to implement the Lora Gateway, it may use available Lora Gateway in the market. This method may be faster but need to have an extra fee, especially when many gateways are needed.  Another method is by using the available GSM Network Gateway, this may lead fast but require managing Simcard at each Node. Both are less flexible as the data format needs to follow according to the standard of the Gateway which is chosen. Some methods select to build the Lora Gateway by themself, but this requires some development and integration that leads to giving extra time.

To compensate above problem this project is involved. The aim is to prove, that it is possible to build a Low-Cost Lora Gateway based Time Division with the help of on .Net Core prgramming. As of today .Net Core can run in the Linux OS environment smoothly, hence building Lora Gateway based Time Division using on .Net Core is very possible to be done. By developing for all devices using .Net Core the communication data across the device is easy to achieve. It is because all projects in each device reference the same library that contains the same data entities and services.

This project proves that building a Low-Cost Lora Gateway based on .Net Core is successfully done. The development and integration are relatively easy and fast. The fee to build the Lora Gateway is less compared to using available Gateway in the market or using GSM Gateway.
Analisis Faktor-Faktor yang Memengaruhi Niat Penggunaan Bank Digital SeaBank menggunakan Modifikasi UTAUT2 dengan Security, Privacy, dan Trust
Authors: Devi Fitriana  , Dedy Kurniawan
Published: January 2024

Penelitian ini menggunakan Kerangka kerja konseptual yang dikembangkan dengan memperluas Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) melalui penambahan tiga variabel, yakni Security, Privacy, dan Trust guna menganalisis faktor-fsktor yang memengaruhi niat penggunaan SeaBank. Data dikumpulkan melalui kuesioner berbasis online yang diisi oleh para pengguna bank digital SeaBank. Data dianalisis dengan metode Partial Least Squares Path Modeling (PLS-SEM). Dari Penelitian ini terlihat bahwa niat untuk mengadopsi layanan bank digital SeaBank dipengaruhi oleh price value, effort expectancy, social influence, habit, security, dan trust. Variabel moderasi jenis kelamin memoderasi variabel Price Value dan performance expectancy, variabel  moderasi usia memoderasi variabel performance expectancy, dan variabel moderasi pengalaman memoderasi variabel security dan trust.
Assessing Service Quality in Passport Application Mobile Apps(M-Paspor) and its Influence on User Satisfaction
Authors: Yaziji Warda , Aprilia Relaci , Sensuse Dana Indra , Lusa Sofian , Wibowo Prasetyo Adi
Published: January 2024

Technological advances in this era can support public services to serve the public more quickly and responsively. One of the electronic public services used by citizens in Indonesia is the application for a passport. After launching to the public in early 2022, the mobile app M-Paspor is still experiencing some obstacles. This study aims to get recommendations for government consideration based on public experience as users of the M-Paspor application. This study integrates the e-Govqual model initiated by Papadomichelaki & Mentzas and End User Computing Satisfaction by Doll & Tork Zadeh. Six dimensions are used: ease of use, trust, functionality of the interaction environment, reliability, content and appearance of information, and citizen support. With the questionnaire distributed through social media, we analyzed data from 111 respondents. We conducted an analysis using SmartPLS to validate the survey. The result implied that Citizen Support, Functionality of the Interaction Environment, and Reliability significantly influence End User Computing Satisfaction of M-Paspor users
Organizational Culture Factors to Improve Knowledge Sharing Process: A Systematic Literature Review
Authors: Hidayat Ilatifah Nur , Hartanto Adi , Sensuse Dana Indra
Published: January 2024

Knowledge has become a critical aspect and asset of the organization. Thus, to gain benefits from knowledge, organizations must be able to manage that knowledge effectively. One of the processes in knowledge management is knowledge sharing. An important factor in an organization that can influence knowledge sharing is organizational culture. This research was conducted to explore aspects of organizational culture in the knowledge sharing process. This research uses the systematic literature review (SLR) method by Kitchenham to find out what organizational culture can facilitate and hinder the knowledge sharing process. Researchers found 17 journals that were used as sources in compiling a list of organizational cultures that influence knowledge sharing. Based on the research results, it was found that collaboration and top management support aspects are organizational culture factors that can improve the knowledge sharing process. Then, for the knowledge barrier aspect, time constraints were found to be the most frequently discussed factor.
Pengaruh Motivasi dan Pendidikan Kewirausahaan Terhadap Kesiapan Mahasiswa Sebagai Enterpreneurship di Era Globalisasi Pada Mata Kuliah Manajemen Usaha Boga
Authors: Gusnita Wiwik , Ganefri  , Yulastri Asmar , Giatman  , Muskhir Mukhlidi , Effendi Hansi
Published: January 2024

D3 Culinary Arts Study Program students are targeted to become graduates who are able to have an entrepreneurial spirit. Basically, building a business requires high motivation to be able to compete with other entrepreneurs. This research aims to see the influence of motivation and entrepreneurship education on students' readiness for entrepreneurship in the Catering Business Management course after completing their studies. The method used in this research is a quantitative descriptive method with correlation studies. The correlation analysis technique in this research uses the product-moment correlation statistical test using interval data with certain conditions. The coefficients table shows that the significance value of the motivation variable (X1) does not have a significant effect on variable Y (student readiness), namely 0.085 > 0.05. Meanwhile, variable X2 (entrepreneurship education) has a significant effect on variable Y (student readiness), namely 0.000 < 0.05. It can be concluded that with entrepreneurship education, students are ready to become entrepreneurs by having knowledge of business production management, knowing procedures, understanding how to produce businesses, and how to develop ideas.
Optimizing the Quantity of Pile Production Using Goal Programming Method
Authors: Sukma Dwi , Arfianto Alfiyo Ramadhany
Published: January 2024

Goal Programming (GP) is a mathematical model that is used as a basis for making a decision to analyze and make solutions to problems that involve many objectives so that optimal alternative problem solving is obtained. PT Bungah Andya Teknik is a telecommunication network contractor company established on December 24, 2018. PT Bungah Andya Teknik focuses on the production of poles for fiber optic networks. this company only produces 250 pcs of poles every month with a production target that should be 300 pcs of poles every month, with a production cost of IDR 1,500,000 per pcs of poles and with a sales profit of IDR 300,000 per pcs of poles. The revenue obtained by the company in real terms for the period August 2023 to October 2023 is IDR 261,800,000, - and the revenue obtained from the calculation results using the Goal Programming method is IDR 403,900,000, -, so it can be concluded that the Goal Programming method can provide the best solution and the revenue obtained is greater than the company's real income.
Penerapan Logika Fuzzy Untuk Analisis Tingkat Kepuasan Layanan Pelabuhan Domestik Sekupang Kota Batam
Authors: Joni Eka Candra  , Noviardi Refli , Eko Prasetyo Stefanus , Burhan Rifa’atul M. , Rushadi
Published: January 2024

Penelitian ini bertujuan untuk menganalisis dan mengetahui seberapa besar pengaruh tingkat layanan yang diberikan terhadap respon kepuasan bagi para penumpang kapal di pelabuhan domestik Sekupang kota Batam. Dalam kelancaran penelitian ini digunakan metode studi kepustakaan, observasi, dan penyebaran kuesioner dengan menggunakan skala likert, serta metode fuzzy. Berdasarkan analisis dan pembahasan yang dilakukan terhadap 50 orang responden, dengan metode skala likert responden menyatakan cukup puas. Ini berarti pelabuhan sekupang Kota Batam, cukup berhasil memberikan layanan yang terbaik atau cukup memuaskan kepada para penumpang, baik dari Dimensi Kehandalan, Dimensi Daya Tanggap, Dimensi Kepastian, Dimensi Empati dan Dimensi Berwujud secara keseluruhan konsumen merasa cukup puas, dengan rata-rata presentase sebesar 71 % (35,5 dari 50 responden).  Tidak jauh berbeda dengan hasil uji coba Fuzzy Logic metode Mamdani dilihat dari hasil nilai output untuk kepuasan konsumen sebesar 150 (dengan range 50-250) yang artinya tingkat kepuasan konsumen cukup puas akan pelayanan yang diberikan oleh Pelabuhan Sekupang Kota Batam.
Implementasi Platform E-Training Entrepreneur untuk Mahasiswa PTIK
Authors: Khairi Ashabul , Tirtana Masagus Muhammad Arief , Ambiyar  , Verawardina Unung
Published: January 2024

Penelitian ini bertujuan menciptakan platform E-training Entrepreneur, yang dirancang khusus untuk meningkatkan pemahaman mahasiswa tentang pelatihan kewirausahaan. Proses pengembangan aplikasi mengadopsi metode SDLC dengan model waterfall, menggunakan bahasa pemrograman PHP, dan database server MySQL. Evaluasi sistem mencakup penilaian functionality dan usability. Hasil pengujian menunjukkan bahwa nilai functionality mencapai 1 (Sangat Baik), dan uji usability mencapai persentase 81% (Layak). Aplikasi ini menawarkan berbagai fitur untuk memperkaya pengetahuan mahasiswa dalam konteks kewirausahaan. Dengan fokus pada kenyamanan pengguna, efektivitas fungsionalitas, dan nilai pendidikan, E-training Entrepreneur memberikan peluang bagi mahasiswa untuk mengembangkan keterampilan dan wawasan mereka dalam dunia kewirausahaan secara interaktif dan dinamis.
Entrepreneurial Knowledge, Self-Efficacy, and The Impact of The Environment on The Entrepreneurial Interests in Electronic Engineering Department Students
Authors: Elsa Sabrina  , Ganefri  , Asmar Yulastri  , Ambiyar
Published: January 2024

The purpose of this study was to demonstrate the potential impact of entrepreneurial knowledge, self-efficacy, and environmental factors on entrepreneurial interest. This study uses an explanatory research approach. The population is students of Universitas Negeri Padang, Department of Electronics Engineering, using a purposive sampling technique. A sample of 80 respondents was determined using accidental sampling technique. Data was collected using questionnaires and tests. Then the method used is purposive sampling and data collection using accidental sampling. The analytical tool used is multiple linear regression analysis. The results of the study show that entrepreneurship education, entrepreneurial self-efficacy and environmental factors influence interest in entrepreneurship
Ekspresi Emosi Berdasarkan Suara Menggunakan Algortima Multi Layer Perceptron dan Support Vector Machine
Authors: Qurniaty Charlen Alta , Kusnawi Kusnawi
Published: January 2024

Rapid developments in voice-based emotion recognition have made positive contributions to human-computer interaction. This research aims to compare the performance of two algorithms, namely Multilayer Perception (MLP) and Support Vector Machine (SVM), in recognizing emotions based on sound. The data used in this research was taken from Kaggle, which amounted to 1440 voice data. The data is then collected into several emotions which will then be feature extracted from the dataset to eliminate irrelevant information and reduce noise so that the classification results are optimal. The research results show that the classification accuracy using the Multilayer Perception (MLP) algorithm reaches 83%, while the Support Vector Machine (SVM) reaches 82%. Based on the accuracy results of both methods, it can be concluded that the Multilayer Perception algorithm is superior to the Support Vector Machine algorithm in the context of voice-based emotion recognition.

Keyword: Emotional Expression, Voice, Mfcc, Multi-Layer Perceptron, Support Vector Machine
Meta-Analysis in Measuring the Effectiveness of Problem-Based Learning Models in Vocational Education
Authors: Rosi Yulianti  , Asmar Yulastri  , Ambiyar  , M Giatman
Published: January 2024

Introduction to learning models is key to discussing the approaches used to transfer knowledge and skills to students. Learning models encompass various strategies and approaches designed to create an effective learning environment and stimulate intellectual and social development, particularly in vocational education. Therefore, this research will explore the effectiveness of one learning model in vocational education, namely Problem-Based Learning (PBL). This study implements the meta-analysis method by synthesizing data from 15 research articles from 2019 to 2023. Using secondary data from Classroom Action Research (CAR) studies, this research calculates the effect size to determine the impact of the PBL model on learning outcomes. The results, presented graphically, show a significant effect size (1.02), indicating a very high impact of the PBL model in vocational education. The discussion emphasizes factors contributing to this effectiveness, including a focus on student autonomy, the development of soft skills, and alignment with the demands of the vocational workforce. Overall, the PBL model emerges as a highly effective approach in improving learning outcomes and preparing vocational education students for real-world challenges
Pengembangan Knowledge Management System (KMS) Layanan E-Government Menggunakan Metode KMSLC
Authors: Radutfa Radutfa Samuel Jasintan Sihotang , Indah Dwi Rosa Indah
Published: January 2024

E-government services have a role in application development, IT governance and E-government development. Employees at the Jambi Province Communication and Informatics Office (DISKOMINFO), especially in the field of E-government services, have a lot of experience and knowledge. However, it is difficult to share with other employees. Due to frequent transfers and the absence of a forum for sharing knowledge, the existing knowledge is not optimally managed. So an E-Government Service KMS is needed for DISKOMINFO in the field of E-government services. The method used is KMSLC and to capture knowledge data using On site observation in the form of interviews and observations. E-government service KMS is implemented and tested using SUS with the results of acceptable indicators and adjective ratings good
Perancangan Aplikasi ToDo Menggunakan Node.js dan REST API
Authors: Rara Syifa Qaisa  , Andriani Putri  , Hayatun Maghfirah
Published: January 2024

Dalam perancangan aplikasi Todo Chickin, penulis menyoroti tantangan terkini dalam manajemen tugas sehari-hari. Tulisan ini memperkenalkan pendekatan yang menggabungkan identifikasi kebutuhan pengguna, desain antarmuka yang intuitif, implementasi menggunakan Node.js, serta pembuatan REST API untuk menyediakan solusi yang responsif dan efisien. Tujuan penelitian ini adalah menciptakan aplikasi manajemen tugas yang mengakomodasi kebutuhan pengguna dan meningkatkan produktivitas mereka. Hasilnya menunjukkan bahwa penerapan metodologi pengembangan yang terstruktur dan penggunaan teknologi modern dapat menghasilkan solusi aplikasi yang responsif, aman, dan mudah digunakan dalam manajemen tugas sehari-hari.
Pengaruh Minat Berwirausaha dan Kurikulum Pembelajaran Wirausaha terhadap Kompetensi Wirausaha Digital Mahasiswa Vokasi Tata Busana
Authors: Novrita Sri Zulfia , Yulastri Asmar , Ganefri  , Giatman  , Effendi Hansi , Muskhir Mukhlidi
Published: January 2024

Berkembangnya cara manusia mendapatkan informasi menyebabkan pola berbisnis manusia juga mengalami perubahan. Tujuan artikel ini adalah untuk memberikan bukti empiris tentang tingkat kompetensi kewirausahaan digital yang diperoleh mahasiswa program studi vokasi tata busana setelah mengikuti perkuliahan kewirausahaan. Penetapan sampel dengan metode purposive sampling dengan jumlah sampel sebanyak 171 orang. Analisis data menggunakan correlation product moment parsial untuk mencari hubungan antar variabel. Sedangkan untuk membuktikan pengaruh digunakan Uji F dengan tujuan untuk mencari angka regresi linier berganda. Hasil penelitian menunjukkan kompetensi wirausaha digital pada kategori rendah (58%). Minat berwirausaha kategori sangat tinggi (96%). Kurikulum pembelajaran kewirausahaan kategori sangat rendah (53%). Hasil uji signifikansi hubungan menunjukkan terdapat hubungan minat berwirausaha dengan kompetensi wirausaha digital mahasiswa, serta terdapat hubungan kurikulum pembelajaran kewirausahaan dengan kompetensi wirausaha digital mahasiswa. Hasil uji signifikansi pengaruh menunjukkan terdapat pengaruh minat berwirausaha dan kurikulum pembelajaran kewirausahaan terhadap kompetensi wirausaha digital mahasiswa Program Studi Vokasi Tata Busana Universitas Negeri Padang.
Pendekatan Supervised Learning Decision Tree C4.5 untuk Klasifikasi Calon Mahasiswa Baru
Authors: Rizki Puput Fadhilah
Published: January 2024

Perbandingan agama atau yang sekarang lebih dikenal dengan Studi Agama-Agama (SAA) merupakan bagian dari program studi yang ada di Fakultas Ushuluddin dan Studi Islam (FUSI) UINSU. Meskipun telah lama didirikan, namun peminat dari program studi ini terbilang cukup sepi untuk skala kampus yang besar.  Dalam memilih Program Studi, perlu adanya minat yang ditanamkan dalam diri calon mahasiswa. Pada penelitian ini, peneliti memiliki tujuan untuk melakukan riset klasifikasi calon mahasiswa baru Program Studi SAA dengan pendekatan minat siswa menggunakan Decision Tree C4.5. Tujuan dari penelitian ini adalah membuat klasifikasi berdasarkan pohon keputusan dan rules yang di hasilkan. Model klasifikasi yang telah dibangun selanjutnya dievaluasi dengan menggunakan confusion matrix. Pada penelitian ini akurasi yang dihasilkan pada model klasifikasi sebesar 85,7%.
Lip Movement Recognition using Histogram of Oriented Gradient (HOG) and Support Machine Vector (SVM) for Arabic Word
Authors: Rabbani Fahmi Muhammad Rabbani , Bima Sena Bayu Dewantara  , Endra Pitowarno
Published: January 2024

This research aims to develop a lip gesture recognition system in Arabic words by utilizing Histogram of Oriented Gradient (HOG) feature extraction and Support Vector Machine (SVM) classification. The evaluation was conducted on a dataset of 1749 videos with male and female participation using Modern Standard Arabic. The 10 cross-fold validation method was used to measure the performance of the system. By applying a polynomial kernel, this study achieved an accuracy rate of 95.63%, while the word recognition rate reached 96%. These results confirm the system's ability to recognize lip movements with precision, confirming the effectiveness of the approach used in visual recognition for Arabic.
An Evaluation of DevOps Practices to Prevent Fraud: A Case Study of PT XYZ
Authors: Adi Hartanto  , Rizal Fathoni Aji
Published: January 2024

Fraudulent transactions caused mainly by high level bugs in PT XYZ’s production environment have caused significant financial losses for the company. Such issues were attributed to subpar DevOps practices in PT XYZ. Based on the given problem, this research evaluates DevOps practices in PT XYZ based on Bucena’s maturity model and proposes recommendations for improvement. This study collects data using interviews with four key figures in PT XYZ’s software development team and processed using the thematic analysis method in conjunction with magnitude coding. The results showed that PT XYZ’s primary weaknesses in implementing DevOps practices fall mostly within Technology and Process domains. From these findings, a roadmap is designed for a timeframe of 12 months, which consists of 9 primary objectives to fulfill to increase overall DevOps maturity level at PT XYZ up to the Defined level.
Komparasi Pendidikan Kewirausahaan Di Indonesia Dan China Melalui Kewirausahaan Teknologi Informasi Digital
Authors: Oriza Wike , Ganefri  , Giatman  , Yulastri Asmar , Maksum Hasan
Published: January 2024

Tujuan dari penelitian ini untuk mengetahui faktor yang mempengaruhi minat berwirausaha di Indonesia dan China serta perbedaan yang dimiliki dan untuk mengetahui perbandingan atau komparasi pendidikan kewirausahaan antara Indonesia dan China. Metode yang digunakan dalam penelitian ini yaitu study literatur kemudian dianalisis dan ditarik kesmpulan. Hasil kajian literatur menunjukkan bahwa Pendekatan pendidikan kewirausahaan di kedua negara dapat disesuaikan dengan mempertimbangkan perbedaan yang ditemukan untuk memenuhi minat dan motivasi kewirausahaan mahasiswa masing-masing negara. Di China, fokus dapat diberikan pada membangun keyakinan mahasiswa untuk mengatasi rintangan, sementara di Indonesia, penekanan dapat diberikan pada memperkuat kepercayaan bahwa berwirausaha memberikan manfaat. Selain itu, penggunaan profil wirausaha sukses, terutama wirausaha muda, dapat menjadi motivator yang efektif di kedua negara. Indonesia maupun China telah mengambil langkah-langkah penting dalam mengembangkan pendidikan kewirausahaan. Meskipun keduanya menghadapi tantangan yang berbeda, baik Indonesia maupun China memiliki potensi besar untuk terus memajukan pendidikan kewirausahaan dan mendukung generasi muda dalam membangun bisnis yang inovatif dan berkelanjutan. Tumbuh dan berkembang pesatnya kewirausahaan di China dan diIndonesia tidak lepas dari peran teknologi informasi digital. Dunia digital menawarkan sumber daya baru yang sangat luas bagi wirausahawan untuk memanfaatkan peluang mempromosikan bisnis yang digelutinya.  Mulai dari pengumpulan data terbuka, konten,  kode dan layanan yang tumbuh secara eksponensial hingga kontribusi online penggunan dan komunitas di seluruh dunia.

Keywords : Minat Berwirausaha di Indonesia dan China, Pendidikan Kewirausahaan di Indonesia dan China, Teknologi digital.
Cybersecurity Improvement Design in Critical Infrastructure PT XYZ Case Study
Authors: Gunawan Adi , Rizal Fathoni Aji
Published: January 2024

Prevention of cyber attacks is an important factor that organizations need to do to support maximum business process continuity. One of the important factors needed is the protection of data and information assets by the critical infrastructure owned. This paper discusses increasing the capacity of critical infrastructure at XYZ organization. The NIST CSF framework is a benchmark assessment tool for critical infrastructure capacity at PT XYZ. The results obtained from the assessment are used to make recommendations for controls related to critical infrastructure.  The risk assessment found 107 risk scenarios that led to 11 recommendations for critical infrastructure improvement areas. Prioritization of the resulting recommendations is expected to increase the resilience and capacity of critical infrastructure at PT XYZ in the face of current and future cyber threats.
Pemetaan Profil Mahasiswa Untuk Memprediksi Peminatan Mahasiswa
Authors: Ar - Rasyid Harun , Pane Syafrial Fachri , Setyawan Muhammad Yusril Helmi
Published: January 2024

Program sarjana terapan merupakan pendidikan akademik yang ditempuh melalui perguruan tinggi atau sederajat yang memiliki tujuan untuk memperoleh gelar sarjana terapan. Mahasiswa yang akan memperoleh gelar sarjana perlu dibimbing oleh dosen agar dapat mempersiapkan penelitian akhir sejak menjadi mahasiswa baru. Dalam rangka membuat profil mahasiswa untuk mempersiapkan tugas akhir, dibuatlah sistem prediksi minat mahasiswa dan rekomendasi dosen (siprenatredo) supaya mahasiswa bisa mengetahui minatnya dan mendapatkan dosen pembimbing yang mempunyai sesuai dengan minat mahasiswa. Siprenatredo dibangun dengan memanfaatkan sistem prediksi dan rekomendasi yang diproses dengan teknik data mining. Metode rekomendasi yang digunakan adalah metode content-based filtering algoritma yang digunakan adalah naïve bayes classifier dan term frequency invers document frequency (tfidf). Penulis penyimpulkan dengan mengimplementasikan metode content based filtering menggunakan algoritma naïve bayes classifier dan algoritma tfidf dapat memberikan hasil yang sesuai dengan kriteria mahasiswa sehingga mahasiswa bisa mendapatkan rekomendasi yang sesuai minat.
Optimasi Daya Generator Angin Melalui Pitch Angle Control dengan Particle Swarm Optimization dan Genetic Algortihm
Authors: Nugroho Herminarto , Saputra Muhammad Akram , Anwar Muhammad Fadil
Published: January 2024

In optimizing the power of the wind turbine generator (WTG) due to fluctuating wind speed, the pitch angle control is used on WTG. The pitch angle has a great influence towards the rotational speed change of the WTG. The pitch angle value is in the range of 0-90 degrees. The optimal value of the pitch angle can produce the maximum power output from the wind turbine generator. Because the pitch angle value changes with wind speed, the optimization method is carried out using Particle Swarm Optimization (PSO) method and Genetic Algorithm (GA) optimization method. By using these two methods optimally, the optimal pitch angle will be obtained dependant on changes in wind speed.
Klasifikasi Pos Pengeluaran Perjalanan Dinas Menggunakan Deep Learning Sequence Model
Authors: Susanty Meredita
Published: January 2024

Laporan perjalanan yang berisi hal-hal detail terkait dengan kegiatan yang telah dilakukan selama perjalanan dinas merupakan laporan wajib yang harus dibuat oleh pelaku perjalanan berdasarkan Peraturan Menteri Keuangan dan Menteri Negara Badan Usaha Milik Negara. Salah satu hal yang harus dilaporkan adalah penggunaan dana selama kegiatan dilakukan. Semakin lama perjalanan dinas, semakin banyak pengeluaran yang harus dilaporkan, baik jumlah maupun bukti pembayarannya. Penelitian ini bertujuan membantu mengefisienkan kegiatan pelaporan keuangan perjalanan dinas dengan melakukan pengelompokkan secara otomatis setiap item pengeluaran menggunakan pendekatan machine learning. Dengan menggunakan arsitektur Recurrent Neural Network dan Long Short-Term Memory model mengklasifikasikan setiap item pengeluaran ke tiga pos pengeluaran. Hasil penelitian menunjukkan arsitektur LSTM memberikan performa lebih baik dengan nilai akurasi 86%.
ANALISIS DAN IMPLEMENTASI TEKNOLOGI ADAPTIVE BITRATE STREAMING TERHADAP KONDISI BANDWIDTH (Studi Kasus : Valu TV (PT Distribusi Media Teknologi))
Authors: Iriyanti Iindra , Arini Arini , Arnaldy Defiana
Published: January 2024

The growth of the internet and smart device users in Indonesia is quite rapidly and is expectedto continue to increase each year . Internet users in Indonesia come from various backgrounds andages . It is often done internet users are watching streaming video via their smart devices . Moreand more users are accessing internet streaming video it will affect the condition of the bandwidthprovided by the ISP ( Internet Service Provider ) which would affect the user experience due tobuffer the video stream when the video is being watched . Looking at these problems , a companyengaged in the field of streaming TV ( PT Distribution Media Technology ) setting up a streaming TVservice using a technology that is relatively new in Indonesia , namely Adaptive Bitrate Streamingtechnology that can solve the problems of the video stream buffer . Knowing that the AdaptiveBitrate Streaming technology is relatively new in Indonesia , the researchers tried to analyze theAdaptive Bitrate Streaming technology as well as the influence of bandwidth conditions for thesetechnologies . In this study , researchers used a quantitative method to analyze the Adaptive BitrateStreaming technology , implement the technology on several devices and analyze the effect ofbandwidth on facility conditions VOD ( Video on Demand ) which is implemented using AdaptiveBitrate Streaming technology that existed at Valu TV service ( PT Distribution Media Technology ) .The results of this analysis is to find out how to work the Adaptive Bitrate Streaming technology andits implementation on bandwidth conditions while riding , stable , and down . With the AdaptiveBitrate Streaming technology , users can watch a video streaming video comfortably without bufferdespite their internet bandwidth conditions are unstable.
APLIKASI SISTEM PENDUKUNG KEPUTUSAN PEREKRUTAN CALON PEGAWAI NEGERI SIPIL (CPNS) DI KEMENTERIAN PERDAGANGAN RI PADA TES KOMPETENSI BIDANG (TKB) DENGAN
Authors: Ningrum Rahma Farah
Published: January 2024

Designing an application decision support system using ANP (Analytical Network Process) atthis stage of recruitment of civil servants is not easy, should be aligned with the procedures thathave been set by national civil servant recruitment committee or department. Stages selectingemployess that will register as an employee in the Ministry of Trade consists of administrativeselection Basic Competence Test (TKD), and Competency Test Field (TKB). To produce a validscreening employees, required measurable decision-making based on the results of theamalgamation of several existing tests. To design the application in writing is done with thewaterfall method by combining the methods of ANP (Analytical Network Process) as measurementdata validity of the tests conducted. Methods ANP (Analytical Network Procees) to represent thedegree of importance some of the results of tests conducted by considering the relationship betweenthe criteria. ANP (Analytical Network Process) combines some of the assessments into one logicalway. And the results obtained from this screening is a candidate for employee data sorting used asan alternative in the decision so that the recruitment process can take place effectively andefficiently and to produce objective decisions.
DETEKSI MATA REAL TIME MENGGUNAKAN OPENCV UNTUK ANDROID
Authors: Erliani Yustika , Priambodo Bagus
Published: January 2024

Right now there has been a lot of developing applications that use the face detection feature. Facedetection itself can be done in various ways, one using the Viola-Jones method, a method thatcombines support vector machines, boosting algorithm, and a cascade classifie. In this researchdesigned an eye detection system by using a Viola-Jones method with OpenCV library. Data fromthis research are in the form of a live video capture using camera smartphone with android os
IMPLEMENTASI ALGORITMA SIDIK JARI AUDIO UNTUK MENDETEKSI DUPLIKAT LAGU
Authors: Yusuf Raka , Kusniyati Harni , Estrada Erick
Published: January 2024

Pada sebuah media penyimpanan lagu, seringkali ditemukan duplikasi lagu yangmengakibatkan penggunaan ruang media penyimpanan lagu menjadi tidak optimal. Duplikasilagu umumnya diakibatkan oleh cara pengguna dalam menyimpan lagu pada mediapenyimpanan. Umumnya, pengguna tidak memperhatikan apakah dalam media penyimpananlagu sudah terdapat lagu yang sama atau tidak. Selain itu, perbedaan lokasi penyimpanan lagumerupakan salah satu faktor yang menyebabkan kesulitan untuk mengetahui apakah dalammedia penyimpanan lagu terdapat duplikasi lagu.Oleh karena itu, untuk mengoptimalkan ruang media penyimpanan lagu, maka dirancangsuatu aplikasi yang menggunakan algoritma sidik jari audio untuk mengidentifikasi duplikasi lagupada media penyimpanan lagu. Penelitian ini menggunakan metode rekayasa perangkat lunakmodel waterfall, untuk menghasilkan suatu aplikasi yang dapat mengatasi masalah duplikasiberkas lagu pada media penyimpanan.
IMPLEMENTASI DAN PENGUJIAN KINERJA ORACLE 10g REAL APLICATION CLUSTER (RAC) PADA SISTEM OPERASI SUN SOLARIS 10
Authors: Santoso Gatot Budi , Wirawan Yanuar Indra
Published: January 2024

During the implementation of database system, needs of getting fast, accurate and high-availabilitydata, has become major clauses for the implementation of “high-availability” system. Oracle 10gRAC is a clustered database solution that requires a two or more node hardware configurationcapable of working together under a clustered operating system. A clustered hardware solution ismanaged by cluster management software, usually provided by the hardware vendor. Theoperating system is also responsible for providing access to the shared disk subsystems. Parametersthat used for the performance testing and analyzing of Oracle 10g Real Application Cluster are thecpu idle, free memory, SGA, buffer cache, and shared pool. As result for the performance testingand analyzing, it can be concluded that Oracle 10g Real Application Cluster was really good for theimplementation of “high-availability system” concept. But it all depends to the analysis for itssystem.
PENERAPAN METODE CERTAINTY FACTOR DALAM MENENTUKAN MAKANAN YANG DIKONSUMSI BERDASARKAN KONDISI DAN KEBUTUHAN STANDAR TUBUH MANUSIA
Authors: Haris Abdul
Published: January 2024

It has been long to known that food plays an important role in efforts to prevent and curediseases, to develop the human resources potential, achieve a better quality and achieve longer lifeas well. It is proper nutrition issues into the affairs of all of us, both at the individual, household, andnational levels.In a healthy or unhealthy condition, food needs to be regulated well. Because of shortage andexcess nutrients will cause the body disease. This occurs because of an error in dietary habit and alack of understanding and knowledge of proper nutrition. This is the reason that author wants tomake an application on nutrition with method certainty factor. So users have a better knowledgeabout nutrition. Desktop application created with Visual Basic .NET using Oracle Database.
RANCANG BANGUN APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENYELEKSIAN SISWA KELAS AKSELERASI DENGAN METODE NAIVE-BAYESIAN
Authors: Evamandasari Dwitya Khresna , Djamain Yasni
Published: January 2024

Sistem pendukung keputusan merupakan bagian dari sistem informasi berbasis komputer.Sistem ini dapat digunakan untuk memberikan rekomendasi keputusan pada pengambilankeputusan pada suatu organisasi atau perusahaan. Sistem pendukung keputusan menggunakanbeberapa metode, salah satu diantaranya adalah metode Naive-Bayesian.Teorema Baiyesdigunakan untuk menghitung peluang untuk suatu hipotesis dalam statistika. Bayes OptimalClassifier menghitung peluang dari suatu kelas dari masing-masing kelompok atribut yang adadan menentukan kelas mana yang paling optimal. Penggunaan metode Naive-Bayesian inidiharapkan dapat membantu panitia seleksi untuk menentukan siswa mana yang layak menjadisiswa kelas akselerasi berdasarkan kriteria yang telah ditentukan, yaitu nilai tes akademik, iq,nilai tes kemampuan IT, hasil wawancara, hasil UN dan narasi psikolog.
RANCANG BANGUN MODEL SISTEM CONTROLLING DAN OTOMATISASI ROBOT PENGANGKUT SAMPAH DALAM RUANGAN
Authors: Siregar Riki Ruli A. , Suyanto Suyanto
Published: January 2024

Trash has been a serious problem. All this time, people is used to just throw away theirgarbage to garbage cans and leave the res of the process to instances that are responsible fortaking care the daily waste of human's lives. In real life, garbage problems extend to the point ofhealth and environment issues. Garbage also affects the cleanliness of a room, in which the morehousehold consumption the more garbage is being created. The purpose of this writing is to designa controlling system model and a garbage robot automation. The result of this design is expected tohelp humans to carry their garbage out of their rooms.