Tag: best IT campus

  • Strengthening Its Global Presence: Director Of International Programs Unikom Appears As Keynote Speaker At Mahasarakham University In Thailand, Discussing Topics Ranging From Smart Universities To Student Mobility

    Strengthening Its Global Presence: Director Of International Programs Unikom Appears As Keynote Speaker At Mahasarakham University In Thailand, Discussing Topics Ranging From Smart Universities To Student Mobility

    BANDUNG, UNIKOM – The Universitas Komputer Indonesia (UNIKOM) commitment to expanding its international academic network while providing global experiences for students continues to be strengthened through various collaborative programs with partner universities abroad. One such initiative was realized through the participation of UNIKOM’s Director of International Programs, Dr. Senny Luckarydi, S.P., M.M., as a keynote speaker at an international conference held over a week from July 20–27, 2026, at Mahasarakham University in Thailand.

    Dr. Senny Luckarydi, S.P., M.M., had the opportunity to accept an invitation from Mahasarakham University, one of the largest public universities in Northern Thailand with approximately 50,000 students. The invitation came from the Faculty of Education in connection with an international conference addressing various strategic issues in the development of education and university governance.

    On this occasion, Dr. Senny was entrusted to deliver the keynote speech on the theme “Smart University Management.” According to him, the concept of a smart university cannot be interpreted merely as the digitization of learning or a shift in services from conventional systems to online platforms, but rather as a comprehensive transformation in university management. “A smart university is not merely a transition from offline to online, but also a massive transformation in terms of services, governance and management, infrastructure, and so on,” said Dr. Senny.

    Furthermore, Dr. Senny explained that the transformation toward a smart university requires integrated changes across various aspects of higher education management. This ranges from how universities provide services to the academic community, to establishing adaptive governance, developing effective management systems, and providing infrastructure capable of supporting a technology-based educational ecosystem.

    Dr. Senny’s presence as a keynote speaker is also part of the implementation of UNIKOM’s international collaboration with Mahasarakham University, which not only focuses on inter-institutional academic activities but also opens opportunities for students to gain cross-border learning experiences through student mobility programs. “This includes collaboration on the International Program because we also send students to participate in mobility programs there,” he explained.

    In practice, UNIKOM students participating in the mobility program come from the International Relations (IR) and Information Systems programs. The program provides students with the opportunity to experience an international academic environment firsthand, broaden their horizons, build networks, and interact with students from diverse cultural backgrounds.

    This collaboration will also continue to be developed in both directions. In November 2026, Mahasarakham University is scheduled to send 10 students and 4 faculty members to visit UNIKOM. The delegation’s visit is expected to further strengthen academic interactions and open up new opportunities for collaboration between the two institutions. In addition to serving as a keynote speaker, this series of international activities also provided an opportunity for Dr. Senny to share her academic knowledge and experience, including through a publication workshop designed to build participants’ capacity in understanding the processes and strategies of scientific publishing.

    According to Dr. Senny, the sustainability of international cooperation must be directed toward tangible benefits for both the institutions and the students. Collaboration does not end with ceremonies or the signing of cooperation agreements; rather, it must be realized through various activities that enrich students’ experiences and enhance the quality of education. “Our hope is that our cooperation will grow in both scope and impact. Ultimately, the goal is to improve the quality of education and provide enrichment for students offering them engaging experiences so that their knowledge can be better applied and they are more motivated to pursue their studies,” she explained. Strengthening cooperation with international universities is part of UNIKOM’s efforts to build an increasingly open and globally oriented educational ecosystem. Through student exchange programs, international conferences, academic workshops, and various other forms of collaboration, UNIKOM continues to encourage students and the academic community to develop not only academic competencies but also global experiences and perspectives. These efforts also underscore UNIKOM’s commitment as a Digital Entrepreneurial University to providing an education that adapts to technological advancements, is open to international networks, and offers learning experiences relevant to the needs of the global community. (Directorate of Hms & Pro)

  • Factors That Affect the Effectiveness of Management Accounting Software

    Authors: Lilis Puspitawati ; Hanhan Hanafiah Solihin ; Sukadwilinda ; Ivany Syarief ; Dody Kusmana ; Cecep Deni Mulyadi

    DOI: 10.1109/TSSA56819.2022.10063919

    Abstract

    This study aims to examine the suitability of the conceptual model regarding the effect of business strategy, user competence, organizational structure on the Effectiveness of Management Accounting Software (MAS), and how the influence between the variables studied during the Covid 19 Pandemic took place. Quantitative methods are used to test the suitability of the proposed model and to determine the predicted effect between the variables studied. The data were tested using Covarian Base Structural Equation Model (CB-SEM) with Lisrell 8.5 software. This study uses primary data collected through questionnaires to a population of 118 State-Owned Enterprises (SOEs) Management Accounting departments in Indonesia, with a selected sample size of 100 SOEs, which were selected using a simple random technique. The results of this study succeeded in confirming the conceptual model developed by the researcher and empirically proving the influence of business strategy on MAS Effectiveness, user competence on MAS Effectiveness and organizational structure on MAS Effectiveness in Indonesian SOEs companies. The effectiveness of MAS depends on the relevance of the needs of its users. The right business strategy, effectively provides relevant information for the company to design MAIS according to user needs, so that the company’s operational activities run effectively and efficiently, the company is able to implement a Cost Reduction Strategy through production cost savings, production process accuracy, implementing product differentiation and low pricing strategy with a focus on customer needs during the Covid-19 pandemic. The results of this study contribute to producing strategic management accounting information to anticipate business continuity during and after the Covid 19 Pandemic and to help overcome the crisis due to the Covid 19 pandemic in the early stages of the Covid 19 Pandemic by optimizing business strategy, organizational structure, and company HR competencies. © 2022 IEEE.

    Author keywords

    Accounting Software; Business Strategy; Organizational Structure; User Competence and Management Accounting Software

    This article can be accessed at: https://www.scopus.com/pages/publications/85151047189

  • Techno-Economic Evaluation of the Production of Dysprosium-Doped Cobalt Ferrites Nanoparticles by Sol-Gel Auto-Combustion Method

    Authors: Asep Bayu Dani Nandiyanto ;  Yustika Desti Yolanda;  Mia Widyaningsih Risti Ragadhita ; Herry Saputra ; Eddy Soeryanto Soegoto ; Senny Luckyardi

    DOI: 10.18280/mmep.090435

    Abstract

    The purpose of this study was to examine two models of the economic feasibility of producing nanoparticle of dysprosium-doped cobalt ferrites by sol-gel auto-combustion method, from a laboratory scale to an industrial scale, including technical analysis and economic evaluation. Various economic evaluation parameters were analyzed to report the fabrication potential of dysprosium-doped cobalt ferrites nanoparticles in the case of the time required for a speculation to recover its total initial expenditure (PBP), the conditions of a generating project in the production function in years (CNPV), undertaking profits, etc. The results of the economic feasibility study on the production of dysprosium-doped cobalt ferrites nanoparticles showed that all parameter changes gave positive values, demonstrating that this project might have been practical to run commercially and on a large scale. Technical analysis to produce 26.4 tons of dysprosium-doped cobalt ferrites nanoparticles per year reveals that investment will be gainful then afterward more than three years. This project emulates PBP capital market guidelines due to the crisp return on investment. Estimates range from ideal to worstcase states in production to ensure project feasibility, including labor, sales, crude materials, utilities, external factors, and taxes. © 2022,Mathematical Modelling of Engineering Problems. All Rights Reserved.

    Author keywords

    Dysprosium-doped cobalt ferrites nanoparticles; Economic evaluation; Feasibility study; Sol-gel auto-combustion

    This article can be accessed at: https://www.scopus.com/pages/publications/85141271703

  • Export Import Data Visualization Using GIS at the Directorate General of Agro Industry with Prototype Methods

    Authors:  J C Wibawa; M E Utomo; M R Sadif; R F Widiarachman; R Fauzan; N R Radliya

    DOI: 10.1109/INCITEST59455.2023.10395924

    Abstract

    Visualization of export-import data with the support of Geographic Information Systems (GIS) can help transform complex data into easier to understand. The aim of this research is to provide a clearer and more comprehensive view of the export and import trade patterns of a region, as well as to identify trends, spatial relationships and factors that influence these trade activities. By using GIS, information can be represented visually through interactive maps, allowing decision makers to make more in-depth analyzes and formulate policies. In the process of developing this system, researchers adopted a prototype method, which started with the needs analysis step, followed by the design stage, development implementation, testing, and finally the finalization stage. The output of this research is in the form of visualization of export and import data, which is based on the HS (Harmonized System) and KBLI (Standard Classification of Indonesian Business Fields) code classifications. This research has contributions to academic and practical contexts, one of which is material for consideration in entering into or continuing an FTA (Free Trade Agreement). © 2023 IEEE.

    Author keywords

    data visualization; economic decision making; geospatial analysis; import export; trade patterns

    This article can be accessed at: https://www.scopus.com/pages/publications/85185197258

  • Implementation of Speech to Text and Geolocation Technology on the Travelling Merchant System

    Authors: Eko Budi Setiawan, Syifaul Mukminin, Angga Setiyadi, Chrismikha Hardyanto

    DOI: 10.1109/INCITEST64888.2024.11121482

    Abstract

    Travelling merchants are a type of business providing food needs in the informal sector. Currently, when consumers want to make an order, they have to type in the criteria in the form of a fairly long text. Consumers also often have difficulty detecting the location of travelling merchants in their vicinity. This research developed a responsive mobile webbased application utilizing speech recognition technology, specifically speech-to-text. The speech-to-text feature is powered by the Hugging Face Whisper API, which is applied during the food ordering process and geolocation technology in the form of Location Based Service to detect travelling merchants’ locations in real-time. The notification feature uses service workers and socket.io to provide information when a travelling merchant is nearby the buyer’s location. The software was developed using an agile methodology model. Based on the test results, 100% of all features were running well, 82.4% of travelling merchants, and 94.4% of buyers agreed that the implementation of the research results could simplify the process of ordering food and meeting between travelling merchants and buyers. © 2024 IEEE.

    Author keywords

    Geolocation; Hugging face; Push notification; Speech-to-text; Travelling merchant

    This article can be accessed at: https://www.scopus.com/pages/publications/105015715547

  • T-Shirt Vending Machine Using ESP32

    Authors: Mochamad Fajar Wicaksono; Myrna Dwi Rahmatya; Syahrul Syahrul; Sri Nurhayati

    DOI: 10.1109/INCITEST59455.2023.10396857

    Abstract

    At tourist locations, souvenirs are usually found at specific spots, but when utilizing a vending machine, souvenir sales can be made anywhere. The purpose of this research is to create a t-shirt sales system using a vending machine. This vending machine can be placed at tourist attractions, airports, or terminals. The method used in this research is experimental. From the client-side, this system is controlled using ESP32. Meanwhile, from the server-side, the system is supervised by the admin using a web application. The admin is tasked with verifying incoming orders via the web application and sending the barcode to the buyer’s email. ESP32 will wait for the buyer to scan the barcode on the vending machine. If it’s is valid, the ESP32 will inform the buyer via OLED. Furthermore, the ESP32 will activate the DC motor to run the conveyor. The completion of the t-shirt release process is detected using an infrared sensor. ESP32 then informs the server that the process has been completed. Modular testing is carried out to test each tool component’s function. Meanwhile, overall testing is carried out to test system functionality. Based on the results of these two tests, the Vending Machine Using ESP32 works 100% as expected. This tool can read the QR-Code input, validate data to the server, issue t-shirts according to validated orders, and request order deletion to the server when the transaction has been completed. With this tool, it is hoped that it can help sellers and make it easy for tourists. © 2023 IEEE.

    Author keywords

    ESP32; QR-Code; T-Shirt; Vending Machine

    Indexed keywords

    Engineering controlled terms

    Bar codes; DC motors; Infrared detectors

    Engineering uncontrolled terms

    Client sides; D.C. motors; ESP32; QR codes; Server sides; Souvenir sales; T-shirts; Tourist attractions; WEB application; Web applications

    Engineering main heading

    Sales

    This article can be accessed at https://www.scopus.com/pages/publications/85185195782

  • Autonomous Cyber Physical System : Theoretical Model for Monitoring Green Tea Withering Process

    Authors: Sopian Alviana; Taufik Djatna; Shelvie Nidya Neyman; Sri Wahjuni

    Abstract

    Cyber Physical System (CPS) is a relationship between physical entities and virtual entities. CPS has a complexity in conducting relationships between three components, namely physical components, cyber components, and communication. CPS moves towards an autonomous system, so a modeling of the system is needed. Green tea withering is one of the processes in green tea processing by flowing a number of tea leaves into the withering machine. Model Based System Engineering-based modeling can be used to map the needs of autonomous CPS systems. Autonomous CPS modeling is expected to map the needs both in terms of functional, logical, and physical for autonomous CPS in the green tea withering process. This model is expected to represent the behavioral needs of the autonomous CPS system for green tea withering as a case study on autonomous CPS that moves dynamically. Therefore, the depiction of this model can provide an overview of the needs of the autonomous system in the green tea withering process. © 2023 IEEE.

    Author keywords

    autonomous; cyber physical system; green tea; model-based system engineering

    This article can be accessed at: https://www.scopus.com/pages/publications/85185197647

  • Integrating Whitebox and Blackbox Testing for Web Based Point of Sales: A Halstead’s Metric and Equivalence Partitioning Approach

    Authors:  Rangga Sidik, Novia Ardianti Dewi, Aghnia Maulina, Mega Lestari, Syahrul Mauluddin

    DOI: 10.1109/INCITEST64888.2024.11121454

    Abstract

    In developing Point of Sales software, quality is an important concern. Point of sales applications must be able to provide effectiveness in storing company sales data. In the development stage, software testing is an important stage to produce software with good quality. Appropriate testing can provide an overview of the real quality of software. This research was conducted with the aim of testing web-based Point of Sales software to suit the user’s needs. In addition, the functional system can be believed to run well even with the complexity of the source code of the point of sales. We conducted testing by combining white box testing with black box testing. The use of equivalence Partitioning and Halstead’s Metric methods is combined to get test results in terms of functionality and program complexity. So that it can get the effectiveness of the source code and be able to evaluate the level of programming difficulty. From the results of white box testing, we get 9 errors that appear on the shop page, and 13 other test cases are declared valid from 17 test cases conducted using Equivalence Partitioning. Based on the test results with Halstead’s Metric measurement method, the test results show that the source code has a high volume and difficulty level with a high value as well. This can define the level of complexity of PoS. From these findings, PoS software developers can utilize it for the next stage of development in creating a higher quality and reliable Point of Sales system. © 2024 IEEE.

    Author keywords

    equivalence partitioning; halstead metric; point of sales; testing; web application

    This article can be accessed at https://www.scopus.com/pages/publications/105015891816

  • Application of Agglomerative Hierarchical Clustering (AHC) for Grouping Prospective Scholarship Recipients

    Authors: Fakhrian Fadlia Adiwijaya; Arisza Zufar Fathurrahman; Chrismikha Hardyanto

    DOI: 10.1109/INCITEST59455.2023.10395926

    Abstract

    Scholarships are a form of financial aid provided to individuals to support their education. Scholarships can be granted by educational institutions, governments, organizations, or individuals as a means of assisting with educational expenses. Scholarships can take various forms, including cash grants, tuition waivers, assistance in purchasing books or educational supplies, or a combination of these forms of aid. Scholarship recipients are typically selected based on specific criteria such as academic excellence, financial need, special talents or interests, or achievements in a particular field. The current method of selecting scholarship recipients involves evaluating the characteristics of students who are deemed outstanding and actively engaged in the learning process. Due to the large number of students and limited scholarship quotas, this process often consumes a significant amount of time, and the selection of scholarship recipients may not be entirely accurate. To aid in the selection of scholarship recipients, data mining techniques are employed, specifically the clustering method. Agglomerative Hierarchical Clustering (AHC) is one of the clustering algorithms capable of grouping a set of data into specific data clusters. The data analyzed for the determination of scholarship recipients include academic performance data or grades, extracurricular activity data, economic data, and student achievement data. By using data mining and clustering methods, educational institutions or organizations offering scholarships can analyze the data of potential scholarship recipients to identify groups with similarities based on specific criteria. This approach can make the selection and grouping of scholarship candidates more efficient and objective. © 2023 IEEE.

    Author keywords

    AHC; Clustering; Data Mining; Scholarship Management

    Indexed keywords

    Engineering controlled terms

    Cluster analysis; Clustering algorithms; Data mining; Economics; Learning systems

    Engineering uncontrolled terms

    ‘current; Academic excellence; Agglomerative hierarchical clustering; Clusterings; Educational institutions; Financial aids; Government organizations; Prospectives; Scholarship management; Special talents

    Engineering main heading

    Students

    This article can be accessed at https://www.scopus.com/pages/publications/85185202061

  • Big Data Algorithms as Enablers of Sustainable Marketing Practices: A Preliminary Research

    Authors: Rahma Wahdiniwaty; Neng Susi Susilawati Sugiana; M Yani Syafei; Yeffry Handoko Putra; Lili Adi Wibowo

    DOI: 10.1109/INCITEST59455.2023.10396871

    Abstract

    This study presents a systematic literature review on the role of Big Data algorithms in supporting sustainable marketing practices. Sustainable marketing practices have garnered increasing attention in an era where environmental concerns and consumer awareness of environmental issues are on the rise. In this context, Big Data algorithms have gained a progressively crucial role in analyzing large datasets to understand consumer behaviors, predict market trends, and design effective marketing campaigns. The literature review is conducted using a systematic approach to identify, collect, and analyze relevant articles pertaining to the utilization of Big Data algorithms in sustainable marketing practices. The primary findings of this literature review encompass the application of Big Data algorithms in sustainable market needs analysis, the utilization of these algorithms to predict environmentally friendly consumer patterns, and their employment in tailoring sustainable marketing campaigns. Through an in-depth analysis of the existing literature, this research identifies the significant contributions of Big Data algorithms in supporting sustainable marketing practices. However, challenges related to data privacy, analysis integrity, and technological complexity are also revealed in the literature. The practical and theoretical implications of these findings illustrate the potential of Big Data algorithms as valuable tools for marketing practitioners seeking to adopt more sustainable approaches. © 2023 IEEE.

    Author keywords

    Algorithms; Big Data; Marketing Practices; Sustainable Marketing

    This article can be accessed at: https://www.scopus.com/pages/publications/85185195922