bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Challenges and Future Directions of Big Data and AI in Education
Authors: Elam Khanssa Mohammed
Published: June 2024

The integration of Big Data and Artificial Intelligence (AI) in education holds transformative potential, promising enhanced personalized learning experiences, improved administrative efficiency, and advanced predictive analytics. However, the adoption of these technologies also presents significant challenges. This paper explores the current landscape of Big Data and AI in education, identifying key challenges such as data privacy concerns, the digital divide, the need for teacher training, and the integration of AI with existing educational frameworks. Additionally, it examines potential future directions, including the development of ethical guidelines, advancements in adaptive learning technologies, and the creation of more inclusive and equitable AI systems. By addressing these challenges and leveraging future opportunities, the educational sector can harness the full potential of Big Data and AI to improve learning outcomes and operational efficiencies.
IDENTIFICACIÓN DE AGENTES CAUSALES ASOCIADOS A LA PUDRICIÓN SECA DE Agave potatorum Zucc EN VIVERO
Authors: Bailón Ortiz Álvaro Zuriel , Amábilis Sánchez Manuel Jesús
Published: June 2024

Actualmente no se han identificado con exactitud los agentes causales asociados a la pudrición seca de Agave potatorum Zucc en la etapa de vivero. En diversas especies de Agave se han identificado cepas de los géneros Fusarium, Alternaria, Colletotrichum, Phoma, Botryodiplodia, Cercospora, Aspergillus y la bacteria Dickeya chrysanthemi causando diversas enfermedades. Debido a la gran importancia de la planta objeto de estudio en el estado de Oaxaca y su alta demandan, el objetivo del presente trabajo fue realizar un diagnóstico fitosanitario de la pudrición seca en la etapa de vivero en el distrito de Sola de Vega, identificar los principales daños y los agentes causales asociados con bases morfológicas. El diagnóstico fitosanitario se llevó a cabo en viveros ubicados en el distrito de Sola de Vega y se midió incidencia, severidad y mortalidad; las plantas con daños se llevaron al laboratorio de fitopatología del CRUCO-UACh en donde fueron procesadas, se aislaron los agentes causales y se purificaron por el método de cultivos monospóricos. La incidencia fue semejante en los viveros diagnosticados, sin embargo, la severidad y mortalidad tuvieron valores más altos en el vivero ubicado en Santa María Sola. Se aislaron cinco cepas asociadas a la enfermedad de las cuales tres presentaron características morfológicas del género Fusarium y dos del género Alternaria. La cepa 2 CRCH perteneciente al género Fusarium tuvo mayor presencia en los tejidos radicales y del tallo de las plantas enfermas y la cepa 4 CRCH tuvo mayor presencia en los daños foliares.
Retirement Planning: A Moderated Mediation Model of Cognitive Beliefs, Retirement Planning Attitude, and Money Availability
Authors: Ahamed AFM Jalal , Limbu Yam B.
Published: June 2024

Retirement planning has been extensively studied in developed countries; however, it received scant scholarly attention in developing nations. Thus, this study examines the role of cognitive factors in retirement planning intentions in the context of a developing country, focusing on financial risk tolerance and self-efficacy within the cognitive appraisal theory framework, considering the mediating role of retirement planning attitudes and the moderating impact of financial resource availability. A survey was conducted in Dhaka, Bangladesh, with 301 valid responses analyzed using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. Findings reveal that retirement planning attitudes mediate the relationship between cognitive factors and retirement planning intentions. Interestingly, risk tolerance negatively impacts retirement planning intentions through attitudes, while financial self-efficacy shows a positive influence. Furthermore, the availability of financial resources moderates these relationships, indicating that retirement planning attitudes significantly influence intentions when financial resource availability is low. This research contributes to the understanding of retirement planning in a developing country context, highlighting the importance of cognitive factors and financial resources. It suggests that tailored retirement planning strategies should consider individual financial conditions and cognitive beliefs. The insights are valuable for policymakers and financial advisors, particularly in developing nations.
Boosting Local Economy through Tourism: Community-Based Tourism on Cultural Tourism Activities
Authors: Prayoga Tasya Zahwa , Rahmiati Filda , Amin Grace , Goenadhi Felix , Hariri Mohammed
Published: June 2024

Tourism may have a variety of positive outcomes including increased local economy, creation of jobs, and infrastructural improvements. The objective of this research is to examine the Community-based tourism (CBT) approach in order to achieve several SDGs to strengthen local economy. This study employs a qualitative approach that includes observation and interviews conducted in phases with Kutu Wetan Village, Indonesia. The village has the competitive advantage of having several cultural attractions with rich history story about the presence of Ponorogo regency. All of the measures in this study are used with the intention of stimulating the development of all tourism facilities to increase the destination’s appeal that diversifying the local economy and creating jobs. Results shows that Kutu Wetan Village still lack variety of entrance points (tour packages, cultural events, homestays, culinary option, and transportation business). Successful implementation of CBT Kutu Wetan are depends on their cooperative mindset and local’s strong economic interest. To achieve long-term sustainable tourism development in supporting the local economy, it is important for Kutu Wetan village to build an appealing and genuine destination that offers diversify tourist attraction while maintaining the surrounding environment and culture.
The 2024 Presidential Election's Political Dynamics: The Changing of Governments and Dynasties
Authors: Akbar Yonarisman Muhammad , Windyaningrum Rachmawati , Rosadi Raesita Rakhmawati , Fiani Isma Dwi , Fajrini Nurkhalila
Published: June 2024

This article examines the political dynamics taking place during the presidential election of Indonesia in 2024, with a focus on the transition to a new government and the potential emergence of political dynasties. It analyzes the political changes that occurred during the campaign, election, and post-election, and how these changes affected political stability and the country's policy direction. Changes in public opinion, political communication tactics used by candidates and political parties, difficulties encountered during the transition to a new government, and the potential emergence of political dynasties—a phenomenon in which political power is concentrated in the hands of families or power circles—are all included in the analysis. The research method used is qualitative research with a literature study design. The data collection technique uses secondary data from reference sources such as legal products, research articles, and journals collected from Google Scholar, Portal Garuda, and news portals such as BBC Indonesia, BBC News, Kompas.com, and Bawaslu. The literature study technique uses a traditional review. This article seeks to offer a clearer understanding of the political processes influencing the 2024 presidential election result and its consequences for Indonesia's political future by exploring these dynamics.
Persuasive Communication in Business Negotiations: Strategies and Techniques
Authors: Siagian Erwin Iriyanto , Nurkarim Muhammad Cesar , Maharani Nadia
Published: June 2024

In the realm of business negotiations, persuasive communication stands as a cornerstone for achieving favorable outcomes. It involves the strategic use of language, body language, and emotional intelligence to influence counterparts towards mutually beneficial agreements. Understanding the nuances of persuasive communication in this context is crucial for navigating the complexities of modern business interactions. This study aims to explore the strategies and techniques of persuasive communication in business negotiations, with a focus on understanding its underlying principles, practical applications, and impact on negotiation outcomes. Through a comprehensive review of existing literature, the study seeks to identify key trends, challenges, and opportunities in the field, providing insights for practitioners and researchers alike. The research methodology employed in this study is a thorough literature review conducted using NVivo, a qualitative analysis software. Relevant sources including books, academic journals, articles, and reports were collected and analyzed to gain insights into persuasive communication strategies in business negotiations. The data collected were systematically analyzed to identify recurring themes, patterns, and relationships, providing a rich understanding of the subject matter. The study findings reveal a myriad of persuasive communication strategies and techniques employed in business negotiations, ranging from linguistic tactics to nonverbal cues and emotional appeals. Key themes identified include the importance of building rapport, understanding counterpart motivations, and adapting communication approaches to suit diverse cultural contexts.  The implications of this study extend to both practitioners and researchers in the field of business negotiations. Practitioners can gain valuable insights into effective communication strategies, enabling them to navigate negotiations with confidence and finesse.
Tinjauan Sosiologis Difusi Inovasi QR Code Dalam Menu Makanan dan Minuman Pada Restoran Maupun Kafe di Panjer, Denpasar Selatan
Authors: Rasmi I Gst Ayu Diah Citra , Tamim Imron Hadi , Nugroho Wahyu Budi
Published: June 2024

The aim of this research is to explain and analyze consumer responses to QR Code technology innovations on food and drink menus in restaurants and cafes in the Denpasar area. The method used in this research is a qualitative approach with a descriptive-explanatory type. The theory chosen as a scalpel in analyzing this research is the diffusion of innovation from Everett M. Rogers. The results of this research reveal that QR Code technology innovation on food and drink menus in restaurants and cafes in the Denpasar area has been used since the Covid-19 pandemic. Then, the development of the digital era increasingly made restaurants and cafes implement these innovations because they were considered efficient, practical and easy. This innovation in restaurants and cafes in the Denpasar area has made consumers feel the positive impact. Consumers assess that this innovation makes it easier to view the menu, is practical and easy to access, so this innovation can be said to have received a positive response from consumers. However, it is not uncommon for some consumers not to know and not be accustomed to new innovations regarding QR Codes for food and drink menus. Especially when consumers experience problems with their cellphones, such as not having an internet network, being slow, and so on. So, for some consumers, this QR Code innovation has not been responded to well.
Abstrak
Tujuan penelitian ini adalah memaparkan dan menganalisis terkait respon konsumen terhadap inovasi teknologi QR Code dalam menu makanan dan minuman pada restoran maupun kafe di daerah Denpasar. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan jenis deskriptif-eksplanatif. Teori yang dipilih sebagai pisau bedah dalam menganalisis penelitian ini adalah difusi inovasi dari Everett M. Rogers. Hasil dari penelitian ini mengungkap bahwa inovasi teknologi QR Code dalam menu makanan dan minuman pada restoran maupun kafe di daerah Denpasar digunakan semenjak adanya pandemi Covid-19. Kemudian, perkembangan zaman yang serba digital makin membuat pihak restoran maupun kafe menerapkan inovasi ini karena dianggap efisien, praktis dan mudah. Adanya inovasi ini pada restoran maupun kafe di daerah Denpasar membuat konsumen merasakan dampak yang positif, konsumen menilai inovasi ini memudahkan dalam melihat menu, praktis dan mudah untuk di akses, sehingga inovasi ini dapat dikatakan menuai respon yang positif dari konsumen. Namun, tak jarang juga jika beberapa konsumen yang belum mengetahui dan belum terbiasa atas inovasi baru mengenai QR Code untuk menu makanan dan minuman. Apalagi ketika konsumen mengalami kendala dengan handphonenya, seperti tidak memiliki jaringan internet, lemot, dan lain sebagainya. Sehingga, untuk beberapa konsumen inovasi QR Code ini belum di respon dengan baik.
Kata kunci: QR Code, menu digital, inovasi teknologi dan digitalisasi.
Mantis Search Algorithm Integrated with Opposition-Based Learning and Simulated Annealing for Feature Selection
Authors: Mandour Samia , Gamal Abduallah , Sleem Ahmed
Published: June 2024

Feature selection (FS) plays a vital role in minimizing the high-dimensional data as much as possible to aid in enhancing the classification accuracy and reducing computational costs. The purpose of the FS techniques is to extract the most effective subset features, which might enable the machine learning (ML) algorithms to better grasp the input data’s patterns and improve their classification performance. Although several metaheuristic algorithms have been recently presented to solve this problem, they still suffer from several disadvantages, such as getting stuck in local optima, slow convergence speed, and a lack of population diversity, which prevent them from achieving the desired solutions in an acceptable time. Therefore, this study is presented to propose a new feature selection approach, namely OBMSASA, based on integrating the recently published mantis search algorithm with the opposition-based learning (OBL) method and simulated annealing (SA) to strengthen its exploration and exploitation operators. The OBL method aims to improve the exploration operator, making the algorithm able to avoid stagnation into local minima; meanwhile, the SA is used as a local search to further strengthen the exploration operator, thereby improving the convergence speed. The K-nearest neighbor algorithm is used to compute the accuracy of the selected feature. The proposed algorithm is assessed using 21 common datasets and compared to several rival optimizers in terms of several performance metrics, including convergence curve, average fitness, computational cost, length of selected features, and standard deviation, to observe its effectiveness and efficiency. The source code is publicly accessible at https://drive.mathworks.com/OBMSASA.
INVESTIGATING THE ROLE OF SELF-EFFICACY ON ACCEPTANCE OF E-GOVERNMENT IN TANZANIA
Authors: Mushi Renatus
Published: June 2024

E-government is the process of delivering government services through electronic media or platforms. It provides alternative options for offering services with minimal need for physical contact. Through E-government, there has been improvement in all sectors on the way citizens access services and share important information. The acceptance of E-government practices and tools is influenced by factors as explained by prominent models such as TAM, UTAUT and TRA. This research involves empirical evidence from the Tanzanian context to e-government self-efficacy has a significant impact on the acceptance of E-government systems. The research employs a survey of 159 respondents followed by analysis using Smart PLS 4. The conceptual framework was developed by extending the Technology Acceptance Model with E-government Self-Efficacy before testing it in quantitative research. Results of the model show that all the relationships were found to be significant. Among others, this research provides theoretical underpinnings to the area of acceptance of technologies as well as providing areas for future research and policy implications.
ADVANCING GENDER EQUALITY THROUGH GENDER BUDGETING AND AUDITING: A FRAMEWORK FOR GENDER-NEUTRAL BUDGETARY ALLOCATIONS IN INDIA
Authors: Hazarika Anurag , Madhukullya Samikshya
Published: June 2024

The present research looks at the importance of gender audits and budgeting as essential instruments for advancing gender equality in India's financial system. This study examines the possibility of gender-neutral budget allocations as a means of addressing the persistent gender-based inequality in Indian society. It explores the history, application, difficulties, and effects of gender budgeting and auditing on the creation of policies and the distribution of resources. This paper presents an efficient framework for gender-neutral budgetary allocations targeted at promoting gender equality in India through an analysis of successful case studies and methods.
Unravelling the Effect of Chain and Branch Content on Viscosity of Polyisobutylene-Mineral Oil Blends by Modelling and its Tribological Properties
Authors: Upendra Maurya , Ajay Kumar , Vinay Saini , Gananath Thakre , Gulam Asharaf Harmain
Published: June 2024

The viscosity index is a fundamental property of lubricating oils and greases that significantly affects their lubrication performance under diverse temperature conditions. This study aims to investigate the influence of chain length and branch content on the viscosity of polyisobutylene (PIB)-blend mineral oil. To achieve this objective, mathematical models are employed to predict the specific volume, Vander Waals volume, structural factor, friction factor, molecular weight, and specific viscosity of lubricant blends and their correlation with macromolecular structure. Furthermore, analytical techniques such as Gel Permeation Chromatography (GPC), Nuclear Magnetic Resonance (NMR), and CHNS elemental analyzer are utilized to forecast the appropriate molecular structure of mineral-based oil. The purpose of this research is to comprehend the impact of the macromolecular structure of lubricants on their viscosity, particularly in the case of polyisobutylene (PIB)-blend mineral oil. Overall, the concentration of PIB was found to directly influence the friction (15.3%) and wear (5.6%) performance of the mineral oil explored following ASTM 4172 standard. The mathematical models and analytical techniques employed used in this study can accurately forecast the specific volume, Vander Waals volume, structural factor, friction factor, molecular weight, and specific viscosity of lubricant blends and their relationship with macromolecular structure.
Effect of ABS Content on Thermal Stability, Tensile Strength, Friction, and Wear of PMMA/ABS blends
Authors: Win Khun Nay , Liu Erjia
Published: June 2024

The effect of ABS content on the thermal stability, tensile strength, and wear resistance of polymethyl-methacrylate (PMMA)/acrylonitrile-butadiene-styrene (ABS) (PMMA/ABS) blends was systematically investigated. The thermal stability of the PMMA/ABS blends became higher with higher ABS content due to the increased fraction of higher thermal resistant ABS componen in the blends. However, the increased ABS content in the PMMA/ABS blends from 10 to 70 wt.% resulted in a 17.9% decrease in their tensile strength while the wear volume of the PMMA/ABS blend with 70 wt.% ABS content was 39.5 times larger than that of the one with 10 wt.% ABS content. The PMMA/ABS blend with 10wt.% ABS content had the highest tensile strength and wear resistance among the samples used in this study because of its best miscibility and processability. It could be concluded that the ABS content had a significant effect on the thermal stability, tensile strength, and wear resistance of the PMMA/ABS blends.
Metode Star Skeletonization untuk Menghitung Jumlah Pejalan Kaki pada Citra
Authors: Natanael Natanael , Wardani Ken Ratri
Published: June 2024

Menghitung pejalan kaki secara otomatis, dilakukan dengan mendeteksi dan menganalisis objek-objek yang terlihat bergerak. Masalah yang ada jika dua orang atau lebih berjalan berdekatan dan menempel,  orang dalam keadaan diam ditempat atau duduk, dan ketika objek yang bergerak bukan saja pejalan kaki tetapi orang naik sepeda, mobil, atau objek bukan pejalan kaki lainnya. Metode Star Skeletonization diterapkan untuk mengenali objek pejalan kaki berdasarkan 3 dan 5 garis yang ditentukan. Pra pemrosesan yang dilakukan background subtraction untuk mendapatkan objek bergerak, opening untuk menghilangkan noise, closing untuk menghilangkan celah pada objek, dan ekstraksi border untuk mendapatkan segmentasi objek. Hasil pengujian nilai threshold 5, structuring elemen berbentuk rect 3x3 untuk proses opening, structuring elemen berbentuk rect 5x5 untuk proses closing, dan Star Skeletonization tiga garis memberikan hasil terbaik untuk pengenalan pejalan kaki. Hasil pengujian untuk rentetan citra diam dengan pejalan kaki tunggal dan tidak berdempetan tingkat akurasi  90%, artinya objek pejalan kaki dapat dikenali dengan baik.  Ketika ramai pejalan kaki tingkat akurasi 32.5%, hal ini disebabkan banyaknya pejalan kaki yang berdekatan sehingga nampak saling bergabung menjadi satu objek. Hal itu menyebabkan kesalahan perhitungan. Pra pemrosesan awal tidak dapat memisahkan objek yang tumpang tindih. Count up of pedestrians are automatically, performed by detecting and analyzing objects appear to move. The problem occurs when two or more runs adjacent and attached, people who do not move or sit, and when a moving object is not only pedestrians but people ride bicycles, cars, or other objects rather pedestrian. Star Skeletonization methods applied to recognize objects pedestrians by 3 and 5 lines are determined. Initial processing done that background subtraction to get moving objects, opening to remove noise, closing to eliminate the gap on the object, and the border extraction to get the object segmentation. Results of testing the threshold value 5, 3x3 rect-shaped structuring element for the process of opening, 5x5 rect-shaped structuring element for the process of closing, and Star Skeletonization three lines provide the best results for the introduction of a pedestrian. The test results for a series of still image with a single pedestrian and not huddled get a 90% accuracy rate, meaning that the object of pedestrians can be recognized well. When crowded pedestrian accuracy rate of 32.5%, this is due to the many pedestrians adjacent to each other seem to merge into one object. That caused a calculation error. Initial processing can not separate the objects that overlap.
Perencanaan Aplikasi Peninjau Ekspresi Wajah Tokoh James Sullivan dalam Film Monster Inc 2001
Authors: Prasetyowati Oktarina , Linardi Adeline
Published: June 2024

Ekspresi sudah lama dirumuskan sebagai medium komunikasi nonverbal manusia. Pesan yang dapat disampaikan melalui ekspresi adalah informasi mengenai emosi yang dirasakan seseorang.Dalam film, ekspresi wajah merupakan hal yang sangat penting dipertimbangkan untuk mendukung jalan cerita. Dengan ekspresi wajah yang tepat, maka emosi tokoh dapat terungkap, sehingga dapat memperkuat adegan tertentu. Hal ini pun berlaku untuk film animasi, walau pun tokoh dalam film animasi tidak selalu dalam wujud manusia, namun para desainer tokoh sering mengadopsi ciri-ciri manusia untuk tokoh yang sedang diciptakannya.Analisis ini dibuat untuk mengetahui bagaimana ekspresi wajah Sullivan, tokoh animasi protagonis dalam film Monster Inc memiliki kesamaan dengan ciri ekspresi wajah manusia.
Penjadwalan Penggantian Pahat Mesin Bubut pada Pembuatan Crank Shaft Sepeda Motor
Authors: Setiawan Ari , Martadinata Sanjaya
Published: June 2024

The research process is to make the schedule of the cutting tools replacement that fit the MTTF by using weibull distribution and determine the number of stock cutting tools in a month. The research phase is done in turning machine's crank shaft by using secondary data, where operators on turning machines fill out a form about the replacement new cutting tools time and cutting tools rotate side. Data processing is done by determining the distribution of data using Minitab software 17, calculate the mean time to failure (MTTF) and the amount of stock that must be provided by the company for one month on the turning machine's crank shaft. Results of the research is a weibull distribution's pattern for the fourth cutting tools and obtained MTTF for each cutting tools, namely turning face and notching's cutting tools is in the amount of 240 parts, and grooving and finish grooving's cutting tools is in the amount of 957 parts. So, the amount of stock that must be provided division of M/C crank shaft for turning face cutting tools is 38 pieces, notching's cutting tools is 36 pieces, grooving's cutting tools is 29 pieces, and finish grooving's cutting tools is 17 pieces.Suatu sistem produksi yang efektif dan efisien merupakan keharusan yang dimiliki oleh para pelaku bisnis. Kompetisi tersebut menuntut perusahaan untuk menghasilkan produk dengan kualitas yang baik. Perusahaan melakukan produksi selama 24 jam. Proses penelitian ini dilakukan untuk membuat pola penggantian pahat sesuai mean time to failure (MTTF) dengan distribusi Weibull dan menentukan jumlah stok pahat selama satu bulan.  Tahap penelitian dilakukan pada mesin bubut crank shaft dengan menggunakan data sekunder, di mana operator pada mesin bubut mengisi suatu form kapan operator mengganti pahat baru dan memutar sisi pahat. Pengolahan data dilakukan dengan menentukan distribusi data menggunakan software Minitab 17.1, menghitung mean time to failure (MTTF) dan menghitung jumlah stok yang harus disediakan oleh perusahaan selama satu bulan pada mesin bubut crank shaft. Jadwal penggantian pahat pada mesin bubut crank shaft kiri menggunakan solusi alternatif kedua, di mana pahat turning face dan notching diganti setelah memproses 240 part, untuk pahat grooving dan finish grooving diganti setelah memproses 957 part. Dengan demikian, pahat grooving dan finish grooving akan diganti atau diputar ketika pahat turning face dan notching melakukan set-up yang keempat. Persediaan pahat yang harus disediakan perusahaan selama satu bulan pada mesin turning adalah  38 buah untuk pahat turning face, 36 buah pahat notching, 29 buah untuk pahat grooving, dan 17 buah untuk pahat finish grooving.
Perancangan Aplikasi Ensiklopedia Menggunakan Augmented Reality Berbasis Android
Authors: Yesmaya Violitta , T. Jojo Dekapaswan , Aspurua Kevin , Prasetyo Ilham
Published: June 2024

Smartphone is a device that is currently widely used by people, now many parents start to introduce smartphones to their children. By introducing a smartphone with the right application can provide general knowledge material that more attractive to children so that they can understand the material. The purpose of developing this application is to introduce encyclopaedias in the form of Augmented Reality to the public with the application of technology that can facilitate and attract interest in studying matters relating to plants, animals and vehicles. This study uses the waterfall methodology that includes 5 stages: requirements analysis and definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance. Vuforia is an application to identify markers that are useful in scanning markers. The results of this application development are applications that can be run on the Android platform that can be used by users as teaching tools and can be used by parents as an introduction to basic materials for their children.Telefon genggam pintar merupakan perangkat yang saat ini banyak digunakan oleh semua kalangan masyarakat. Saat ini sudah cukup banyak orang tua yang mengenalkan telefon genggam pintar (smartphone) kepada anak-anak. Dengan memperkenalkan smartphone dengan aplikasi yang tepat dapat memberikan materi pengetahuan umum yang lebih menarik bagi anak-anak sehingga mereka dapat memahami materi. Tujuan dari pengembangan aplikasi ini adalah untuk memperkenalkan ensiklopedia dalam bentuk Augmented Reality kepada masyarakat dengan penerapan teknologi yang dapat mempermudah dan menarik minat untuk mempelajari hal-hal yang berkaitan dengan tumbuhan, hewan, dan kendaraan. Penelitian ini menggunakan metodologi waterfall yang meliputi 5 tahap: requirement analysis and definition, system and software design, implementation and unit testing, integration and system testing, dan operation and maintenance. Vuforia merupakan aplikasi untuk mengindentifikasi marker yang berguna dalam scanning marker. Hasil dari pengembangan aplikasi ini adalah aplikasi yang dapat dijalankan di platform Android yang dapat digunakan oleh pengguna sebagai perangkat ajar dan dapat dipakai oleh orang tua sebagai pengenalan materi dasar untuk anak-anaknya.
Aplikasi Menu Restoran Sushi Jepang Menggunakan Augmented Reality (AR)
Authors: Yesmaya Violitta , Devin Devin , Roesli Aldo Biondy , Primaguna Radik
Published: June 2024

The development of technology is now increasingly rapid. This can be proven from the many applications that make it easier for users to carry out their daily activities. Many restaurants offer food menus, but not all food menus are visualized on the menu book. This makes the customers always ask back to the staff about the menus from the restaurant. From these problems, research is made that can facilitate users in ordering food displayed in 3D, so that the appearance of the food menu is more clear and attractive to users. The method used in this study is the waterfall method where the application development is carried out systematically. The waterfall method has several steps that must be followed: requirements analysis and definition, system and software design, implementation and unit testing, integration and system testing, and operation and maintenance. The results of the study are "Sushiapp" an application that applies augmented reality technology in visualizing several types of sushi. The research was developed on the Android platform, so users can see a more visual menu display and make it easier for users to order food according to the 3D display.Perkembangan teknologi sekarang sudah semakin pesat, hal ini dapat dibuktikan dari banyaknya applikasi yang memudahkan pengguna dalam melakukan aktifitasnya sehari-hari. Banyaknya restoran yang menawarkan menu makanan, namun tidak semua menu makanan tervisualisasikan pada buku menu. Hal ini yang membuat para pelanggan selalu menanyakan kembali kepada pihak restoran menu terfavorit dari restauran tersebut. Dari permasalahan tersebut dibuatlah penelitian yang dapat memudahkan pengguna dalam melakukan pemesanan makanan yang ditampilkan dalam bentuk 3D sehingga tampilan menu makanan lebih jelas dan menarik bagi pengguna. Metode yang digunakan dalam penelitian ini adalah metode waterfall yang dimana pengembangan aplikasi dilakukan secara sistematik. Dari metode waterfall ini memiliki beberapa tahapan yang harus dijalani: requirement analysis and definition, system and software design, implementation and unit testing, integration and system testing, dan operation and maintenance. Hasil dari penelitian adalah “Sushiapp” sebuah aplikasi yang menerapkan teknologi augmented reality dalam memvisualisasikan beberapa macam jenis sushi. Penelitian dikembangkan pada platform Android, sehingga pengguna dapat melihat tampilan menu yang lebih visual dan memudahkan pengguna dalam memesan makanan sesuai dengan tampilan 3D.
Pembelajaran Pengenalan Rambu Lalu Lintas Yang Umum Untuk Anak Usia Dini Menggunakan Augmented Reality
Authors: Islamy Faqih Thoriq , Frieyadie Frieyadie
Published: June 2024

Congestion and accidents are a serious problem in big cities. One of the factors causing traffic jams and accidents is the driver or the community itself. Early childhood is a period where children have a very high grasp. Therefore, it is important for the community, especially for young children, to know traffic signs. We need a method of learning about traffic signs as early as possible, so that it sticks in the child. Someday chidren become an obedient community in driving. In terms of usability, the application of learning media about traffic signs can be an alternative, means to attract early childhood interest in the function of traffic signs in Indonesia. Equipped with a learning menu in the form of Augmented Reality animation, 2D animation, and sound that aims to facilitate early childhood learning the function of traffic signs. It is also equipped with a game menu, so that children can hone their memory and they are not get bored easily.Kemacetan dan kecelakaan merupakan masalah serius di kota-kota besar. Salah satu faktor penyebab kemacetan dan kecelakaan adalah faktor pengemudi atau masyarakat itu sendiri. Anak usia dini adalah masa di mana anak memiliki daya tangkap yang sangat tinggi. Oleh sebab itu, penting bagi masyarakat khususnya bagi anak usia dini mengenal rambu lalu lintas. Perlunya suatu metode pembelajaran rambu lalu lintas sedini mungkin agar melekat dalam diri anak. Anak-anak kelak menjadi masyarakat yang taat dalam berkendara. Dari segi kegunaan, aplikasi media pembelajaran rambu lalu lintas ini dapat menjadi sarana alternatif untuk menarik minat anak usiadini untuk mengenal fungsi rambu-rambu lalu lintas yang ada di Indonesia. Dengan dilengkapi menu pembelajaran berupa animasi Augmented Reality, animasi 2D, dan suara bertujuan untuk memudahkan anak usia dini dalam mempelajari fungsi rambu-rambu lalu lintas. Aplikasi ini juga dilengkapi dengan menu permainan agar anak dapat mengasah daya ingat dan tidak mudah bosan.
Desain Antena Mikrostrip Array 2x1 Elemen dengan Teknik Inset dan Slit untuk Sistem Komunikasi 5G
Authors: Anindito Atria , Putranto Agam , Alam Syah , Surjati Indra , Sari Lydia , Vaswani Rakesh
Published: June 2024

The Fifth Generation (5G) communication system promises high data transfer rates. It requires an antenna that can operate with gain and bandwidth at 3.4 – 3.6 GHz frequency range which complies with 5G frequency regulation. This study proposes an optimized 2x1 element array microstrip antenna using inset and slit techniques. The antenna is designed to operate at 3.5 GHz for 5G communication systems. The array method is used to increase the gain value, while inset and slit techniques are used to reduce the reflection coefficient (S11). From the design and simulation results, the reflection coefficient value is – 24 dB and the bandwidth is 360 MHz (3.32 GHz -3.68 GHz), or 10.28%, at a frequency of 3.5 GHz. The use of the array method worked in increasing the gain by 66.67% and the bandwidth by 70.43%, compared to single-element antennas.  Sistem komunikasi Generasi Kelima (5G) menjanjikan kecepatan transfer data yang sangat tinggi sehingga memerlukan antena yang dapat bekerja dengan penguatan dan bandwidth pada rentang frekuensi 3,4 hingga 3,6 GHz yang sesuai dengan regulasi frekuensi 5G. Penelitian ini mengusulkan desain antena mikrostrip array 2x1 elemen yang dioptimalisasi menggunakan teknik inset dan slit. Antena dirancang untuk bekerja pada frekuensi kerja 3.5 GHz untuk sistem komunikasi 5G. Metode array digunakan untuk meningkatkan nilai gain dari antena, sedangkan teknik inset  dan slit digunakan untuk mereduksi nilai koefisien refleksi (S11) dari antena yang diusulkan. Dari hasil perancangan dan simulasi didapatkan nilai koefisien refleksi – 24 dB dan bandwidth 360 MHz (3,32 GHz hingga 3,68 GHz), atau 10,28%, pada frekuensi 3,5 GHz. Penggunaan metode array berhasil meningkatkan gain sebesar 66,67% dan bandwidth sebesar 70,43% dibandingkan dengan antena single element.
Meningkatkan Akurasi Long-Short Term Memory (LSTM) pada Analisis Sentimen Vaksin Covid-19 di Twitter dengan Glove
Authors: Poetra Chandra Kirana , Pane Syafrial Fachri , Fatonah Nuraini Siti
Published: June 2024

Covid-19 began to appear in early 2020. The spread of this outbreak is often discussed on Twitter, especially about vaccine procurement. For this reason, it is necessary to have a sentiment analysis on the opinion on vaccine procurement. Sentiment analysis will use the Long Short Term Memory (LSTM) method. However, the level of accuracy of LSTM itself is not accurate enough compared to another method, such as Bi-LSTM. Therefore, it is necessary to optimize so that the LSTM model can predict accurately and compete with the accuracy of Bi-LSTM. Optimization is done by using the Glove method. The Glove method works by counting the occurrences of one word with another and then converting it to a vector. Words that often appear together will have vector values that are close to each other. This vector value is then used as a reference and inserted into the embedding layer of the LSTM model. The application of LSTM coupled with the Glove method resulted in an accuracy of 89% (87% for LSTM and 88% for Bi-LSTM). In this study, the Glove method could increase the accuracy of the used model by 2%.  Covid-19 mulai muncul di awal tahun 2020. Penyebaran wabah ini sering dibicarakan di Twitter, terutama tentang pengadaan vaksin. Untuk itu, perlu adanya analisis sentimen terhadap opini pengadaan vaksin. Analisis sentimen akan menggunakan metode Long Short Term Memory (LSTM). Namun, tingkat akurasi LSTM sendiri belum cukup akurat dibandingkan dengan metode lainnya, seperti Bi-LSTM. Oleh karena itu, perlu dilakukan optimalisasi agar model LSTM dapat memprediksi secara akurat dan dapat menyaingi akurasi Bi-LSTM. Optimalisasi dilakukan dengan menggunakan metode Glove. Metode Glove bekerja dengan menghitung kemunculan satu kata dengan kata lainnya lalu mengonversinya menjadi vektor. Kata yang sering muncul secara bersamaan akan memiliki nilai vektor yang saling mendekati. Nilai vektor ini kemudian dijadikan referensi dan dimasukkan ke lapisan embedding pada model LSTM. Penerapan LSTM yang ditambah dengan metode Glove menghasilkan akurasi sebesar 89% (87% untuk LSTM dan 88% untuk Bi-LSTM). Dalam penelitian ini penerapan metode Glove dapat meningkatkan akurasi model sebesar 2%.
Analisis Usability Portal Akademik Berbasis Web Menggunakan USE Questionnaire
Authors: Sipayung Evasaria Magdalena , Susilo Willy Stevanus
Published: June 2024

The usability level of web-based academic portals used in distance learning during the Covid-19 pandemic needs to be measured. If there are some difficulties or problems in the portal, then can be repaired. The user interface improvement refers to usability as a quality measure used to assess the ease of use of the user interface. Usability is measured using the USE Questionnaire.. The USE Questionnaire is one of the questionnaires used to measure usability. The USE Questionnaire is consisted of 30 questions and is divided into four criteria: usefulness, ease of use, ease of learning, and satisfaction. Each of these criteria is broken down into a set of statements that are given to users. The statement is in the form of a questionnaire with a Likert scale. Based on the usability criteria used in the USE Questionnaire, the usability measurement of the academic portal is carried out. The measured academic portals consist of lecturer portals and academic portals. The results showed that academic portals were generally well-received by users. The academic portals are considered useful and helpful to work.  Tingkat usability Portal Akademik berbasis web yang digunakan pada pembelajaran jarak jauh di masa pandemi Covid-19 perlu diukur. Jika ditemukan kesulitan atau masalah dalam penggunaan portal tersebut, maka dapat dilakukan perbaikan. Perbaikan user interface mengacu pada usability, yaitu ukuran kualitas yang digunakan untuk menilai kemudahan penggunaan user interface. Pengukuran usability dilakukan dengan menggunakan USE Questionnaire. USE Questionnaire merupakan salah satu kuesioner yang digunakan untuk mengukur usability. USE Questionnaire terdiri atas 30 pertanyaan dan dibagi ke dalam empat kriteria, yaitu usefullness, ease of use, ease of learning, dan satisfaction. Setiap kriteria tersebut diuraikan menjadi sekumpulan pernyataan yang diberikan kepada para pengguna. Pernyataan tersebut dalam bentuk kuesioner dengan skala Likert. Berdasarkan kriteria usability yang digunakan pada USE Questionnaire, maka dilakukan pengukuran usability Portal Akademik. Portal akademik yang diukur terdiri atas Portal Dosen dan Portal Akademik. Hasil penelitian menunjukkan Portal Akademik secara umum dapat diterima dengan baik oleh user. Portal akademik dianggap bermanfaat dan dapat membantu pekerjaan.
Perancangan User Interface Aplikasi Web E-Learning untuk Kader Kesehatan dengan Metode User-Centered Design (UCD)
Authors: Ulinuha Zulfa , Suakanto Sinung , Alam Ekky Novriza
Published: June 2024

E-learning merupakan sebuah teknologi informasi yang digunakan untuk membantu pembelajaran secara digital dan online. Teknologi informasi telah mendorong perkembangan e-learning ke dalam tingkat yang lebih baik. E-learning telah memainkan peran penting dalam berbagai bidang tak terkecuali bagi kader kesehatan. Pada saat pandemi dan pasca pandemi COVID-19, peran kader Kesehatan semakin dibutuhkan. Akan tetapi pelatihan atau pembekalan kepada para kader tentunya tidak lagi semudah seperti pada saat sebelum pandemi COVID-19. Oleh karena itu, e-learning juga diperlukan untuk pelatihan dan pembekalan bagi para kader Kesehatan. Dalam rangka mengembangkan aplikasi web e-learning yang dapat digunakan dengan mudah, sesuai kebutuhan, dan efektif untuk pengguna, maka perlu dikembangkan rancangan sistem dan user interface yang tepat. Penelitian ini menggunakan metode User-Centered Design karena menempatkan pengguna dalam setiap tahap dan ada pengulangan untuk memperbaiki sistem.  Penelitian telah berhasil mengembangkan user interface yang sesuai. Hal ini dapat dilihat dari nilai System Usability Scale (SUS) yang berada di level diterima (acceptability acceptable) dengan skor 81. Dapat ditarik kesimpulan bahwa rancangan user interface aplikasi web e-learning telah memenuhi kebutuhan pengguna, dan memberikan umpan balik bahwa dapat digunakan oleh pengguna. Ketika rancangan user interface sudah sesuai, maka dapat dilanjutkan untuk mengembangkan system atau aplikasi e-learning sesuai design yang sudah dibuat.
KONSTRUKSI BAYESIAN NETWORK DENGAN ALGORITMA K2 PADA KASUS PREDIKSI CUACA
Authors: Maharani Herastia
Published: June 2024

Sistem peramalan cuaca dibangun dengan menganalisis hubungan antara variabel cuaca adalah dengan menggunakan data mining. Bayesian Network merupakan salah satu metode data mining yang dapat menggambarkan hubungan sebab- akibat antara variabel dalam sebuah sistem. Dalam penelitian ini dibangun Bayesian Network dengan algoritma K2 untuk memodelkan hubungan antara variabel-variabel cuaca dan melakukan prediksi berdasarkan model yang dihasilkan. Hasil pengujian menunjukan bahwa Bayesian Network mampu memodelkan hubungan antara variabel cuaca dan menghasilkan prediksi yang cukup akurat.Weather forecast systems are built by analyzing the dependency between weather variables. One alternative approach to analyze the dependency between weather variables is by using data mining technique. Bayesian Network is a method capable of representing causal dependencies between  variables in a system. This research used Bayesian Network built by using K2 algorithm to model the dependencies between weather variables and making predictions based on the obtained model. The experiment results showed that Bayesian Network managed to represent the dependencies between weather variables and made quite accurate predictions.
PENERAPAN KNOWLEDGE BASE DALAM MANAJEMEN JARINGAN BERSKALA ENTERPRISE UNTUK MENDUKUNG PENINGKATAN PROSES BISNIS PERUSAHAAN
Authors: HS Tamsir
Published: June 2024

Penanganan jaringan dengan menerapkan sistem pengetahuan (knowledge) memberikan peluang bagi perusahan dalam kepemilikan pengetahuan yang luas atas jaringan. Dengan adanya arsitektur jaringan yang berskala enterprise maka peningkatan kinerja dalam dalam menghasilkan produk/service yang dibutuhkan customer dapat tercapai. Akan tetapi tantangan yang mungkin muncul menyebabkan perusahaan harus berpikir kembali atas bagaimana strategi dalam menangani jaringan berskala enterprise tersebut. Dengan memanfaatkan pengetahuan-pengetahuan yang dimiliki serta meningkatkannya maka perusahaan akan semakin siap menghadapi permasalahan jaringan yang mungkin bisa muncul. Dengan pengetahuan tersebut maka perusahaan dapat meminimalkan kemungkinan kerugian-kerugian yang berakibat pada bidang finansial perusahaan.The implementation of knowledge base management for enterprise network, can give some  opportunities to help the company for acquiring the wide range of the knowledge to handle the network problem. Network management based on enterprise network architecture can help the company to get the clue or model and they can use it to increase the company performance whenthey are producing what the user need such as product or service. But the unpredictible of the network problem can raising the awareness of company to rethinking of they current network strategy. The using of the knowledge base, can make the company ready to any risk that can rise on it. With the network knowledge base,the company can minimalize the risk of financial cost.
Pengembangan Sistem Informasi Pemeliharaan Jalan dan Lingkungan Tol (Studi Kasus: PT. Jasa Marga)
Authors: Simbolon Daniel , Yonata Yosi , Sirait Tamsir Hasudungan
Published: June 2024

PT. Jasa Marga cabang Purbalenyi Bandung bertugas mengelola operasional jalan tol pada ruas KM 67 sampai dengan KM 157. Salah satu bentuk pengelolaan jalan tol adalah inspeksi dan perbaikan di ruas jalan tol. Akan tetapi pengelolaan inspeksi dan perbaikan tersebut dirasa masih kurang optimal karena kurang baiknya arus informasi yang berakibat pada kurangnya koordinasi antar bagian dalam perusahaan. Untuk mengatasi permasalahan ini, sebuah sistem informasi terintegrasi dirancang untuk memungkinkan koordinasi antar bagian perusahaan, khususnya arus informasi yang dibutuhkan untuk melakukan kegiatan inspeksi dan perbaikan. Makalah ini membahas pengembangan sistem informasi yang berbasis arsitektur informasi, dengan penekanan pada arus informasi yang dibutuhkan dalam inspeksi dan perbaikan tol. PT. Jasa Marga Purbaleunyi is in charge of managing toll roads operaion on a segment KM 67 to KM 157. One form of toll roads management is inspection and repair on the toll roads. However, the management of the inspection and repair is still not optimal due to lack of good flow of information that resulted in a lack of coordination between the division of the company. To solve this problem, an integrated information system is designed to enable coordination between divisions of the company, especially the flow of information needed to conduct inspections and repairs. This paper discusses the development of information system based on information architechture, with an emphasis on the flaw of information needed in the inspection and repairs of the toll roads.