Abstract:The mobile gaming industry has evolved into a strategic sector within the global digital economy ecosystem, contributing significantly to the overall revenue of the gaming industry. A concrete manifestation of this dynamic…
ic is Honor of Kings (HoK), a 5v5 MOBA game developed by TiMi Studio Group, which has recorded over 100 million daily active players worldwide. The success of HoK is not solely determined by the quality of its game mechanics but also by its ability to deliver an immersive user experience and implement adaptive Content Marketing strategies. This study aims to empirically examine the influence of Game User Experience (GUX) and Content Marketing on Player Loyalty, with Satisfaction serving as a mediating variable. Employing a quantitative approach through Structural Equation Modeling (SEM), data were collected from active HoK players using a validated survey instrument. The results of the analysis indicate that both GUX and Content Marketing have a significant positive effect on Satisfaction, which, in turn, mediates their influence on Loyalty. The proposed mediation model successfully illustrates the affective role of Satisfaction as a key determinant in the formation of player Loyalty in digital contexts. These findings not only reinforce theoretical foundations in the domain of experience-based marketing but also offer practical insights for game developers and marketers in designing sustainable retention strategies through the optimization of gameplay experience and value-driven content delivery. Accordingly, this study presents a relevant conceptual framework for understanding the mechanisms of Loyalty formation within the competitive and dynamic mobile gaming industry.
Abstract:The advancement of digital technology has driven significant transformations in the employment landscape, marked by the emergence of new occupational roles such as freelance content creators—professions that are particularly…
ularly appealing to Generation Z. Despite operating independently and with high levels of flexibility, these freelance workers remain subject to complex psychosocial work dynamics, including job stress, rewards, motivation, and job satisfaction. This study aims to empirically investigate the influence of job stress and rewards on job satisfaction, while examining the mediating role of motivation within the context of digital freelancers. Employing a quantitative research design, data were collected through an online questionnaire distributed to 220 Gen Z freelance content creators in Indonesia. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, facilitated by the SmartPLS 4 software. The results indicate that job stress exerts a significantly negative effect on both motivation and job satisfaction, whereas rewards have a significantly positive effect on these variables. Furthermore, motivation was found to partially and significantly mediate the relationship between job stress, rewards, and job satisfaction. These findings underscore the critical importance of affective dimensions in shaping the occupational well-being of freelancers in the digital era. The main contribution of this study lies in its extension of the theoretical framework surrounding non-traditional work dynamics, as well as its practical implications for the development of career management and well-being strategies tailored to platform-based freelance workers.
Abstract:Physical training periodization is a scientific approach aimed at systematically regulating training load, volume, and intensity to achieve peak performance in elite athletes while minimizing the risk of injury. This study…
dy reviews 45 scientific articles published within the last ten years, covering periodization models, physiological responses to training, and the integration of technology in athlete development processes. The findings indicate that block periodization and non-linear periodization are the two most effective approaches, shown to enhance aerobic capacity by up to 10% and muscle strength by approximately 8% in high-level athletes. Additionally, the use of monitoring technologies such as Heart Rate Variability (HRV) and Global Positioning System (GPS) contributes significantly to real-time adjustments in training programs, enabling coaches to respond more accurately to athletes’ physiological conditions and prevent overtraining. However, challenges remain in implementing these technologies in sports with limited resources and due to a lack of long-term studies on the effectiveness of technology-based periodization. These findings emphasize the importance of individualized, data-driven approaches in designing training programs that not only improve performance but also sustain athletes’ careers. By integrating classical periodization principles with modern technology, training programs can be developed to be more adaptive, precise, and contextually tailored to individual needs. In conclusion, modern, responsive periodization supported by advanced technology is a crucial element in creating elite athlete development systems that are not only globally competitive but also focused on long-term health and performance.
Abstract:The Merdeka Belajar Kampus Merdeka (MBKM) program was developed by the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia as a step towards modernizing higher education and bridging the…
gap between the academic world and the workforce. Although it has been widely adopted in various universities, the efficiency of this program in enhancing students’ job readiness remains a key question. The aim of this research is to evaluate the implementation of the MBKM program and its impact on students’ job preparation, including both soft skills and hard skills. The background of the issue reveals a gap between higher education graduates’ competencies and the needs of the workforce, which has driven the government to initiate the MBKM policy as a solution to better prepare students for the dynamics of the labor market. The research problem focuses on the effectiveness of MBKM program implementation across various universities and how it affects students’ job readiness. Through a comprehensive literature review method, this study analyzes various scientific publications, policy reports, and evaluation studies related to MBKM from 2020 to 2024. The findings indicate that the implementation of MBKM still varies across higher education institutions with several challenges, such as infrastructure readiness, administrative systems, and stakeholder understanding. However, a positive correlation was found between student participation in the MBKM program, particularly in industry internships and collaborative projects, and improvements in adaptability, problem-solving skills, and technical competencies needed in the workforce. The novelty of this research lies in the comprehensive mapping of critical factors in the implementation of MBKM as well as the development of a sustainable evaluation framework that universities can use to enhance the effectiveness of the MBKM program in preparing graduates who are job-ready and globally competitive.
Abstract:Abstract: The development of information and communication technology has increased public demand for digital services, particularly data packages as the primary means of internet access. This high demand requires data package…
ackage retailers to manage inventory optimally to ensure product availability meets customer needs. At CMC Cell, the determination of data package stock is still based on intuition without systematic data analysis, resulting in stock accumulation for certain products and stock shortages for others when demand increases. This study aims to design and implement a web-based Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to determine the optimal stock of data packages. The MOORA method is applied to rank data package alternatives based on several criteria, including data package demand, sales history, remaining stock, selling price, and validity period. Sales data are analyzed using the calculation stages of the MOORA method. The results show that the Telkomsel V 3 GB data package achieves the highest preference value of 0.1498 and is therefore recommended as the top-priority data package, with an optimal stock quantity of 200 units. With the implementation of this system, the recommendations for determining data package stock become more measurable, objective, and data-driven.
Keywords: MOORA; PHP; decision support system; optimal stock; stock priority
Abstrak: Perkembangan teknologi informasi dan komunikasi telah meningkatkan kebutuhan masyarakat terhadap layanan digital, khususnya paket data sebagai sarana utama akses internet. Tingginya permintaan tersebut menuntut pelaku usaha penjualan paket data untuk mampu mengelola stok secara optimal agar ketersediaan produk sesuai dengan kebutuhan pelanggan. Pada Toko CMC Cell, penentuan stok paket data masih dilakukan berdasarkan intuisi tanpa analisis data yang sistematis, sehingga sering terjadi penumpukan stok pada beberapa produk dan kekosongan stok pada produk lain saat permintaan meningkat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) berbasis web menggunakan metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam menentukan stok optimal paket data. Metode MOORA digunakan untuk melakukan perangkingan alternatif paket data berdasarkan beberapa kriteria, yaitu permintaan paket data, riwayat penjualan, jumlah stok tersisa, harga jual, dan masa aktif. Data penjualan paket data dianalisis menggunakan tahapan perhitungan metode MOORA. Hasil penelitian menunjukkan bahwa paket data Telkomsel V 3 GB memperoleh nilai preferensi tertinggi sebesar 0,1498 sehingga direkomendasikan sebagai paket data dengan prioritas stok tertinggi, dengan jumlah stok optimal sebanyak 200 pcs. Dengan adanya sistem ini, rekomendasi penentuan stok paket data yang dihasilkan menjadi lebih terukur, objektif, dan berbasis data.
Kata kunci: MOORA; PHP; sistem pendukung keputusan; stok optimal; prioritas stok
Abstract:Abstract: Inventory managemet plays a strategic role in supporting the operational sustainability of retail businesses. Errors in determining the quantity of goods procured can lead to inventory buildup or stockouts, which…
ch impacts increased storage costs and reduced customer service levels. Attar Jaya store still uses a manual inventory management system, so the restocking recording and decision-making processes are not yet supported by an integrated and data-driven system. This condition has the potential to cause inefficiency in inventory management. This research aims to apply the concept of Electronic Supply Chain Management (E-SCM) integrated with the Economic Order Quantity (EOQ) method to determine the optimal order quantity of goods. The EOQ method is used to calculate the most economical order quantity by considering ordering and storage costs, while E-SCM plays a role in integrating inventory management processes digitally. The research methods include observation, interviews, and literature studies, with system design using the Unified Modelign Language (UML). The system was developed using the PHP programming language and the MwSQL database. The research result are expected to help Toko Attar Jaya improve the accuracy of resctocking decision-making, minimize the risk of overstocking and understocking, and increase the efficiency of inventory mangement.
Keywords: MySQL; PHP; e-supply chain management; economic order quantity; restock items
Abstrak: Manajemen persediaan memiliki peran strategis dalam mendukung keberlangsungan operasional usaha ritel. Kesalahan dalam menentukan jumah pengadaan barang dapat menyebabkan terjadinya penumpukan persediaan maupun kekurangan stok yang berdampak pada meningkatnya biaya penyimpanan seerta menurunnya tingkat pelayanan kepada pelanggan. Toko Attar Jaya masih menerapkan sistem pengelolaan persediaan secara manual, sehingga proses pencatatan dan pengambilan keputusan restok belum didukung oleh sistem yang terintegrasi dan berbasis data. Kondisi tersebut berpotensi menimbulkan ketidakefisienan dalam pengelolaan stok barang. Penelitian ini bertujuan untuk menerapkan konsep Electronic Supply Chain Management (E-SCM) yang terintegrasi dengan metode Economic Order Quantity (EOQ) dalam menentukan jumlah pemesanan barang yang optimal. Metode EOQ digunakan untuk menghitung jumlah pemesanan yang paling ekonomis dengan mempertimbangkan biaya pemesanan dan biaya penyimpanan, sedangkan E-SCM berperan dalam mengintegrasikan proses pengelolaan persediaan secara digital. Metode penelitian meliputi observasi, wawancara, dan studi literatur, dengan perancangan sistem menggunakan Unified Modeling Languge (UML). Sistem dikembangkan mengguanakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian diharapkan mampu membantu pihak Toko Attar Jaya dalam meningkatkan akurasi pengambilan keputusan restok, meminimalkan risiko kelebihan dan kekurangan persediaan, serta meningkatkan efisiensi pengelolaan persediaan.
Kata kunci: MySQL; PHP; e-supply chain management; economic order quantity; restok barang
Abstract:Abstract: Semangat Store, a rapidly growing retail store in Kisaran, faces challenges in inventory management due to its manual system. Ordering is done by contacting suppliers individually, and sales data is recorded conventionally…
nventionally in a general ledger. As a result, the store often experiences overstock, which increases storage costs and the risk of damaged goods, or stockouts that can disappoint customers. To address these issues, this study aims to implement an integrated, web-based Supply Chain Management (SCM) system. This system is designed to accurately record inventory, manage demand, place orders in a timely manner, and support fast, data-driven decision-making. The system was built using the PHP programming language and a MySQL database. The implementation results show that the proposed SCM system is able to improve operational efficiency and inventory management accuracy at Semangat Store. Store owners can monitor sales and order reports directly, and the system provides notifications when inventory reaches the minimum limit. Thus, Semangat Store can reduce the risk of overstocking or understocking, increase profitability, and simplify the restocking process with suppliers through a more structured system.
Keywords: supply chain management (scm); stock management; information systems; semangat store
Abstrak: Toko Semangat, sebuah toko ritel yang berkembang pesat di Kisaran, menghadapi tantangan dalam pengelolaan stok barang karena masih menggunakan sistem manual. Proses pemesanan barang dilakukan dengan menghubungi pemasok satu per satu, dan pencatatan data penjualan masih dilakukan secara konvensional di buku besar. Akibatnya, toko sering mengalami kelebihan stok (over stock) yang meningkatkan biaya penyimpanan dan risiko kerusakan barang, atau kekurangan stok yang dapat mengecewakan pelanggan. Untuk mengatasi masalah ini, penelitian ini bertujuan untuk mengimplementasikan sistem Supply Chain Management (SCM) yang terintegrasi dan berbasis web. Sistem ini dirancang untuk mencatat stok barang secara akurat, mengelola permintaan, melakukan pemesanan secara tepat waktu, serta mendukung pengambilan keputusan yang cepat dan berbasis data. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan database MySQL. Hasil dari implementasi menunjukkan bahwa sistem SCM yang diusulkan mampu meningkatkan efisiensi operasional dan akurasi pengelolaan stok barang di Toko Semangat. Pemilik toko dapat memantau laporan penjualan dan pemesanan secara langsung, dan sistem memberikan notifikasi jika stok barang mencapai batas minimum. Dengan demikian, Toko Semangat dapat mengurangi risiko kelebihan atau kekurangan stok, meningkatkan profitabilitas, dan mempermudah proses restock dengan pemasok melalui sistem yang lebih terstruktur.
Kata kunci: supply chain management (scm); pengelolaan stok; sistem informasi; toko semangat
Abstract:Abstract: The issue of stunting represents a significant obstacle in public health development efforts, particularly in the Asahan Regency area. Stunting not only affects children’s physical growth but also has implications…
tions for intellectual capacity and productivity in the future. This study aims to develop an information system based on a Web Geographic Information System (Web GIS) to monitor the geographic distribution of stunting cases and assist the Asahan Regency Health Office in making data-driven policy decisions. The method applied in this research is a quantitative descriptive approach, encompassing the stages of problem identification, data collection, system requirements analysis, design, implementation, and system evaluation. The research findings show that the developed Web GIS platform successfully displays stunting data by district through interactive digital map representation, facilitates data input and updates by healthcare workers, and provides information accessible to the general public. The system is considered capable of improving the effectiveness and efficiency of stunting case monitoring, while also supporting information transparency and the planning of more targeted intervention programs. With the implementation of this Web GIS, stunting prevention efforts in Asahan Regency can be carried out in a more structured manner and based on accurate spatial data.
Keywords: stunting; geographic information system; monitoring; mapping; asahan regency
Abstrak: Permasalahan stunting merupakan hambatan signifikan dalam upaya pengembangan kesehatan publik, terutama di wilayah Kabupaten Asahan. Stunting tidak hanya mempengaruhi aspek pertumbuhan jasmani anak, namun juga berimplikasi pada kemampuan intelektual dan daya produktif di masa mendatang. Studi ini memiliki tujuan untuk membangun sistem informasi yang berbasiskan Web Geographic Information System (Web GIS) dengan maksud memantau distribusi kasus stunting secara geografis dan memfasilitasi Dinas Kesehatan Kabupaten Asahan dalam proses pengambilan kebijakan yang berdasarkan data. Metode yang diterapkan dalam riset ini adalah pendekatan deskriptif kuantitatif, meliputi fase identifikasi permasalahan, koleksi data, kajian kebutuhan sistem, perancangan, penerapan, dan penilaian sistem. Temuan penelitian menunjukkan bahwa platform Web GIS yang dikembangkan berhasil menampilkan data stunting per kecamatan melalui representasi peta digital yang interaktif, memfasilitasi proses input dan pemutakhiran data oleh tenaga kesehatan, serta menyediakan informasi yang dapat diakses oleh khalayak umum. Sistem tersebut dianggap mampu meningkatkan keefektifan dan keefisienan dalam monitoring kasus stunting, sekaligus mendukung keterbukaan informasi dan perencanaan program intervensi yang lebih tepat sasaran. Dengan adanya implementasi Web GIS ini, langkah-langkah penanggulangan stunting di Kabupaten Asahan dapat dilaksanakan dengan pendekatan yang lebih terstruktur dan berdasarkan data spasial yang tepat.
Kata Kunci: stunting; sistem informasi geografis; monitoring; pemetaan; kabupaten asahan
Abstract:Abstract: The rapid pace of digital transformation highlights the need to empower Micro, Small, and Medium Enterprises (MSMEs) in Jayapura City by integrating Artificial Intelligence (AI) into their business strategies.…
This community service initiative aims to assess MSME actors’ initial understanding of AI, deliver targeted training, and evaluate improvements in strategic planning using the Value Proposition Canvas (VPC). The program was conducted in three stages: pre-assessment, training implementation, and post-training evaluation. Initial findings revealed that most participants had limited knowledge of AI and its applications. However, after the training, there was a significant increase in participants’ confidence and capability. The training effectively reduced lack of knowledge by 40%, addressed infrastructure and internet challenges by 45%, and decreased uncertainty regarding AI's return on investment by 30%. Participants began applying tools such as ChatGPT, Canva AI, and the VPC method to better understand customer needs. Although the study was limited by a short evaluation period and a specific geographic focus, it offers valuable insights for policymakers, educators, and development stakeholders. The findings support the importance of accessible, hands-on training in making AI a practical and beneficial resource for small businesses, ultimately promoting inclusive, technology-driven growth.
Keywords: artificial intelligence, business strategy, jayapura, MSME, youth
Abstrak: Transformasi digital yang pesat mendorong perlunya pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kota Jayapura melalui integrasi kecerdasan buatan (AI) dalam strategi bisnis mereka. Program pengabdian masyarakat ini bertujuan untuk menilai pemahaman awal pelaku UMKM terhadap AI, memberikan pelatihan terarah, dan mengevaluasi peningkatan dalam perencanaan strategis menggunakan Value Proposition Canvas (VPC). Kegiatan ini dilaksanakan dalam tiga tahap: pra-asesmen, pelatihan, dan evaluasi pascapelatihan. Hasil awal menunjukkan bahwa mayoritas peserta memiliki pengetahuan terbatas tentang AI dan penerapannya. Namun, pascapelatihan terlihat peningkatan signifikan dalam kepercayaan diri dan kemampuan peserta. Pelatihan berhasil menurunkan tingkat ketidaktahuan sebesar 40%, mengurangi kendala infrastruktur dan internet sebesar 45%, serta menekan keraguan atas keuntungan penggunaan AI sebesar 30%. Peserta mulai memanfaatkan alat seperti ChatGPT, Canva AI, dan metode VPC untuk meningkatkan pemahaman kebutuhan pelanggan. Meski terbatas pada waktu evaluasi yang singkat dan wilayah Jayapura, studi ini memberikan wawasan penting bagi pembuat kebijakan, pendidik, dan pemangku kepentingan untuk mendorong pertumbuhan UMKM berbasis teknologi secara inklusif.
Kata kunci: anak muda, bisnis strategi, jayapura, kecerdasan buatan, UMKM
Abstract:Kurungkambing Village, located in Mandalawangi District, Banten, has significant local potential that remains underutilized due to the lack of structured data and limited village planning capacity. The gap between local…
resource mapping and strategic planning poses a major challenge in achieving sustainable development. To address this issue, the Community Service Program (PkM) of Universitas Terbuka was designed to strengthen the capacity of village officials through training and mentoring in village potential mapping based on village planning worksheets. This approach follows four key stages: input, process, output, and impact, aimed at establishing a more systematic, data-driven, and sustainable village development plan. The PkM activities include field surveys, socialization, technical training, mentoring, and monitoring and evaluation. The primary objective of this program is to develop a village potential database as a foundation for formulating more accurate policies and development strategies. Village officials can create more effective and strategic data-driven policies with this database. The program's sustainability requires synergy between academics, local government, and the village community to ensure data-driven development that enhances community welfare.
Keywords: database, planning capacity, strategic planning, sustainable development, village potential.
Abstrak: Desa Kurungkambing, Kecamatan Mandalawangi, Banten, memiliki potensi lokal yang belum optimal karena keterbatasan data terstruktur dan kapasitas perencanaan desa. Untuk mengatasi permasalahan ini, Program Pengabdian kepada Masyarakat (PkM) Universitas Terbuka dirancang untuk memperkuat kapasitas aparatur desa melalui pelatihan dan pendampingan dalam pemetaan potensi desa berbasis lembar perencanaan desa. Pendekatan ini mengacu pada empat alur utama: masukan, proses, hasil, dan dampak, yang bertujuan untuk mewujudkan perencanaan pembangunan desa yang lebih sistematis, berbasis data, dan berkelanjutan. Kegiatan PkM ini melibatkan serangkaian tahapan, termasuk survei lapangan, sosialisasi, pelatihan teknis, pendampingan, serta monitoring dan evaluasi. Tujuan utama program ini adalah mengembangkan database potensi desa sebagai dasar dalam penyusunan kebijakan dan strategi pembangunan yang lebih akurat. Dengan adanya database ini, aparatur desa dapat merumuskan kebijakan berbasis data yang lebih efektif dan strategis. Keberlanjutan program membutuhkan sinergi antara akademisi, pemerintah daerah, dan masyarakat desa guna memastikan pembangunan berbasis data yang berorientasi pada kesejahteraan masyarakat.
Kata kunci: database, kapasitas perencanaan, perencanaan strategis, pembangunan berkelanjutan, dan potensi desa.