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Pengaruh Penggunaan Smartphone Dalam Interaksi Sosial di Kalangan Mahasiswa Manajemen STIE Bina Karya Kota Tebing Tinggi Kumala Vera Dewi; Bobby Hartanto; Adrian K. Tarigan
Digital Business Progress Vol. 2 No. 1 (2023): Digital Business Progress Edisi Juni 2023
Publisher : STIE Bina Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70021/dbp.v2i1.72

Abstract

This study aims to determine the effect of smartphone use on social interaction in Management Study Program students at STIE Bina Karya, Tebing Tinggi City. The population of this study were 253 students in the third semester of the Management Study Program at STIE Bina Karya, Tebing Tinggi City. After calculating using the Slovin formula, the number of samples obtained is 72 respondents (with e = 10%). The data collection technique used was a questionnaire given to research respondents. The data analysis used in this study is a simple linear regression analysis with the help of SPSS for windows software. The results showed that there was no significant influence between the use of smartphones on social interaction among third semester students of the Management Study Program at STIE Bina Karya, Tebing Tinggi City. This means that no matter how long students use smartphones, it will not affect their social interactions with other people. The level of influence of smartphone use with social interaction among students in this study was very small, namely 3.2%. This is because social interaction is not only influenced by dependence on smartphone use, one of which can be influenced by community environmental factors.
IMPLEMENTASI SISTEM KNOWLEDGE MANAGEMENT UNTUK MENINGKATKAN PEMBELAJARAN ORGANISASI DI LEMBAGA PENDIDIKAN Ahmad Jet Alamin A; Adrian K. Tarigan; Hulman Wasi Boangmanalu
Nusantara Hasana Journal Vol. 4 No. 7 (2024): Nusantara Hasana Journal, December 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i7.1991

Abstract

This Community Service Program aims to implement a Knowledge Management (KM) System to enhance organizational learning in educational institutions through structured knowledge management: acquisition, documentation, storage, sharing, and utilization. Common challenges faced by partners include tacit knowledge held by individuals, scattered learning materials, undocumented best practices, and non-standard onboarding processes for new teachers and staff. Interventions are carried out through knowledge audits, KM architecture design (process–role–technology), development of taxonomies and SOPs, establishment of digital repositories and communities of practice, user training, and go-live support. Outputs include a KM blueprint, a knowledge portal/repository, standard document templates, user guides, and organizational learning KPIs.
PENDESAINAN MODEL MANAJEMEN EVENT KOMUNITAS: PERENCANAAN, PELAKSANAAN, EVALUASI, DAN KEBERLANJUTAN Jopinus Saragih; Adrian K. Tarigan; Oktora Jubileus Sinambela
Nusantara Hasana Journal Vol. 4 No. 2 (2024): Nusantara Hasana Journal, July 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i2.2004

Abstract

This Community Engagement (PkM) activity aims to design and implement a practical and replicable community event management model, covering the planning, execution, evaluation, and sustainability phases. Common challenges faced by partners include unclear role assignments, schedules that frequently change without proper oversight, poorly documented budget and vendor management, and non-standardized activity reporting. Interventions are carried out through community needs mapping, the development of SOPs and working documents (TOR, WBS, timeline, RACI, budget, risk management, communication plan), committee training, implementation support for pilot events, as well as indicator-based (KPI) evaluation and participant feedback. Outputs include a pocket guide on event management models, standard document templates, event evaluation reports, and plans for program sustainability and community agendas.
KEY FACTORS FOR THE SUCCESS OF SME STARTUPS IN INDONESIA Ahmad Jet Alamin A; Adrian K. Tarigan; Hulman Wasi Boangmanulu
Mount Hope Economic Global Journal Vol. 2 No. 3 (2024)
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/mega.v2i3.1008

Abstract

This study examines key success factors for UMKM startups in Indonesia, along with the challenges encountered during business growth. UMKM startups play a strategic role in the national economy; however, many fail due to incorrect strategies, particularly in financing and the adoption of digital technology. The research aims to identify the key factors influencing success at each stage of UMKM development, analyze related challenges and opportunities, and provide recommendations to support sustainable business growth. The growth framework consists of seven stages, from idea to maturity/scaling, where common obstacles include limited access to funding and low digital capability. The study employs a qualitative approach using a literature review and descriptive analysis. The findings indicate that success depends not only on ideas and capital, but also on motivation, networks, resilience, resource management, and the ability to recombine new ideas. The recommendations emphasize implementing digitalization strategies and improving understanding of financing options that match the UMKM growth stage.
PENINGKATAN EFISIENSI LOGISTIK UMKM MELALUI PENGELOLAAN RANTAI PASOK DAN INVENTORI BERBASIS TEKNOLOGI MUDAH Jopinus Saragih; Adrian K. Tarigan; Idayanti Adelina Silalahi
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1017

Abstract

This community service activity aims to improve logistics efficiency for MSMEs by enhancing supply chain management (purchasing–production–delivery) and inventory management (raw material & finished goods stock) using easily adopted technologies such as Google Sheets/online Excel, a simple stock application, transaction input forms, and dashboards. Common MSME issues include inaccurate stock levels, stockouts when order volumes are high, overstock tying up capital, messy manual records, reactive raw material ordering, and uncontrolled shipping costs. The interventions involve process auditing, establishing data standards and SOPs, implementing digital stock cards, setting practical reorder points, recording purchasing–consumption–sales activities, and monitoring logistics KPIs. The outputs include a simple inventory system, SOPs for warehousing and purchasing, stock and turnover dashboards, and impact reports (stock accuracy improvement, reduced stockouts, and cost savings).
PENGUATAN KAPASITAS ORGANISASI NON-PROFIT MELALUI IMPLEMENTASI SISTEM MANAJEMEN PROYEK BERBASIS ARIMA Ahmad Jet Alamin A; Adrian K. Tarigan; Nurul Suci Anggraeni Nasution
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1023

Abstract

This PkM activity aims to strengthen the capacity of non-profit organizations in program planning and control through the implementation of a Project Management System (SMP) equipped with ARIMA-based forecasting features. Partner issues include activity planning that is not yet data-based, fluctuations in donations/service requests that are difficult to predict, unstable volunteer scheduling, and inconsistent achievement reporting. Interventions are carried out through needs assessments, strengthening project governance (SOP, RACI, logframe, M&E), development of data templates and dashboards, and training and mentoring on the application of ARIMA to predict key indicators (e.g., monthly donations, number of beneficiaries, need for aid packages). Success is measured by increasing project administration compliance, planning accuracy (reduced forecasting errors), and increasing the timeliness of reporting and the use of dashboards in decision-making meetings.
ANALISIS PERAN KEPEMIMPINAN DALAM ADOPSI TEKNOLOGI BARU DI PERUSAHAAN MANUFAKTUR Jopinus Saragih; Adrian K. Tarigan; Idayanti Adelina Silalahi
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1027

Abstract

This article examines the role of leadership in the adoption of new technologies in manufacturing firms, particularly in the context of digital transformation driven by artificial intelligence (AI), the Internet of Things (IoT), and automation. The study aims to explain how leadership affects the success of technology implementation, identify challenges related to human and organizational factors, and review effective leadership strategies for integrating technological innovation into company operations. The research method is a literature study combined with qualitative and quantitative analysis by synthesizing various sources, including market reports, case studies, and academic research. The findings indicate that visionary and transformational leadership significantly improves employee acceptance through clear communication, the building of an innovation culture, intensive training, and effective change management. Nevertheless, adoption success is also influenced by barriers such as limited internal expertise, resistance to change, difficulties integrating legacy systems, and the need to prioritize data security. The article recommends strategies including active employee involvement, continuous training, planned system integration, strengthening digital infrastructure, and developing digital leadership to ensure that transformation is effective and sustainable.
PENINGKATAN KAPASITAS KEPEMIMPINAN TATA KELOLA KELURAHAN MELALUI PELATIHAN MANAJEMEN SUMBER DAYA MANUSIA (MSDM) Riduan Siagian; Adrian K. Tarigan; Josua Tahan Jaya Sitorus
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1030

Abstract

This Community Service Program (PKM) activity aims to improve leadership capacity in village governance through Human Resource Management (HRM) training. Partners' problems generally include non-competency-based task allocation, ineffective cross-functional coordination, weak discipline and performance standards, and minimal feedback and coaching mechanisms. The program is implemented through needs assessments, core training (public service leadership, communication, division of labor, simple KPIs, coaching), preparation of HRM governance tools (job desks, coordination SOPs, competency matrices, performance evaluation formats), and implementation assistance. Results show an increase in participants' understanding and managerial skills, the preparation of HRM governance documents for villages, and the existence of follow-up plans for improving service performance.
PENGUKURAN JEJAK KARBON DAN INSENTIF FINANSIAL DALAM RANTAI PASOKAN EMPIRIS Riduan Siagian; Adrian K. Tarigan; Josua Tahan Jaya Sitorus
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1042

Abstract

This study empirically examines carbon footprint measurement within supply chain management and the role of financial incentives in driving emission reductions. Since supply chains may contribute up to 90% of a company’s emissions and indirect emissions (Scope 3) can be as much as 26 times higher than operational emissions, the study highlights key challenges including incomplete supplier emission data, variability in measurement methodologies, and adoption barriers for enabling technologies. It also analyzes the effectiveness of sustainable funding models—such as Sustainable Supply Chain Finance (SSCF), sustainability-linked loans (SLL), and green bonds—as well as internal incentive mechanisms cost-sharing (CS) and preferential financing (PF). The findings indicate that well-designed financial incentives can increase the likelihood that suppliers reduce emissions by up to 52%. The study further proposes the use of innovative technologies, including blockchain and the Internet of Things (IoT), to improve the accuracy, transparency, and real-time verification of emissions data. Overall, the research concludes that integrating robust measurement systems with performance-based incentives is a crucial strategy for companies to enhance emissions management and supply chain sustainability.
PEMBELAJARAN MESIN UNTUK OPTIMASI ALOKASI MODAL DAN PROYEK DI INDUSTRI Riduan Siagian; Adrian K. Tarigan; Rudi Lingga
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 1 (2025): Desain Komunikasi Visual
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i1.1043

Abstract

This study investigates the application of machine learning for optimizing capital allocation and project management in the industrial sector under financial market complexity and macroeconomic uncertainty. The research aims to explore machine learning algorithms, analyze their effectiveness in improving investment decision efficiency and risk mitigation, integrate real-time risk-based allocation approaches, and compare the proposed methods with traditional frameworks such as the mean-variance model (MVO). The methodology combines literature review, case studies, and numerical simulations using historical data from 2017 to 2022. The framework consists of volatility forecasting using LSTM, differentiable risk budgeting for adaptive target-risk adjustment, and deep reinforcement learning (DDPG-TiDE) to optimize asset allocation policies within a Markov Decision Process (MDP). Model performance is evaluated using Sharpe ratio, maximum drawdown, and portfolio turnover efficiency, while interpretability is validated using SHAP. Simulation results show a 23–55% improvement in Sharpe ratio compared to traditional risk parity strategies and a 41% reduction in maximum drawdown during volatile market periods. The study also demonstrates that SHAP enhances transparency by identifying key drivers such as market volatility, credit spread, and the yield curve. The findings conclude that machine learning can be a game changer for improving efficiency, real-time risk mitigation, and adaptive decision-making, while highlighting challenges related to data quality, model complexity, AI governance, and integration with legacy systems.