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All Journal OPSI INTECOMS: Journal of Information Technology and Computer Science JKIE (Journal Knowledge Industrial Engineering) Juriti Prima (Jurnal Ilmiah Teknik Industri Prima) Jurnal Sistem Teknik Industri Jurnal EK dan BI Sprocket : Journal of Mechanical Engineering Jurnal Ekuilnomi International Journal of Community Service JURNAL MITRA PRIMA Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Industrikrisna Ardhi: Jurnal Pengabdian dalam Negri Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Manajemen : Jurnal Ekonomi Dinamika Sosial: Jurnal Pengabdian Masyarakat Dan Transformasi Kesejahteraan Svarga Pena: Jurnal Pengabdian Kepada Masyarakat Jurnal Semesta Ilmu Manajemen dan Ekonomi Green Engineering: Journal of Engineering and Applied Science Karawo : Journal of Community Service (KJCS) TechTalent & Business Review International Journal of Economics and Management Research Proceeding of The International Conference on Economics, Accounting, and Taxation Nucleus Journal
Jusra Tampubolon
Universitas Prima Indonesia
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Implementation of Community-Scale Bio-Solar Hybrid Renewable Energy Systems with Energy Storage to Enhance Microgrid Stability and Local Sustainability Budi Artono; Jusra Tampubolon
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 4 (2024): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i4.279

Abstract

The increasing demand for sustainable and reliable energy solutions in remote and off-grid communities has led to the exploration of hybrid bio-solar renewable energy systems. This paper examines the implementation of a hybrid bio-solar system with energy storage to improve microgrid stability and support local sustainability. By combining biomass and solar power with energy storage, the system provides a reliable, clean, and cost-effective energy supply, addressing intermittency and enhancing grid resilience. The research covers system design, power flow simulation, voltage and frequency stability, and both economic and environmental analyses to assess system effectiveness. The results show that the hybrid bio-solar system significantly improves energy reliability, reduces carbon emissions, and offers a more stable energy supply compared to diesel or grid-based systems. The system's scale and configuration are crucial in optimizing cost-effectiveness, with larger systems yielding better long-term benefits. Local community involvement is key to managing and maintaining the system, ensuring its sustainability. Compared to other renewable energy hybrids like wind-solar or solar-diesel, the bio-solar system offers superior reliability and cost-efficiency, especially where biomass is abundant. The paper concludes with recommendations for scaling these systems and emphasizes the importance of supportive policies for accelerating sustainable energy transitions.
Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach Jusra Tampubolon; Darwin Li; Yusuf Ronny Edward
Proceeding of the International Conference on Economics, Accounting, and Taxation Vol. 3 No. 1 (2026): Proceeding of the International Conference on Economics, Accounting, and Taxati
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iceat.v3i1.197

Abstract

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.
Data-Driven Operations Management and Supply Chain Innovation in the Retail Industry Jusra Tampubolon
TechTalent & Business Review Vol. 2 No. 2 (2026): TTBR-July 2026
Publisher : Asosiasi Peneliti dan Inovasi Nusantara (APIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63985/ttbr.v2i2.119

Abstract

This study examines how data-driven operations management capabilities shape supply chain innovation performance among retail firms operating in volatile, digitally mediated markets. Despite enthusiasm for analytics, artificial intelligence, and real-time visibility tools, retailers still struggle to convert data investments into measurable innovation outcomes, and the mechanisms linking specific data-driven capabilities to innovation remain fragmented across the literature. Drawing on the resource-based view and dynamic capabilities theory, this research proposes and empirically tests a model linking three data-driven capabilities, namely data analytics capability, real-time supply chain visibility, and artificial intelligence/machine learning adoption, to supply chain innovation performance, with data-driven decision-making culture as a mediating mechanism. A quantitative, cross-sectional survey design was employed, collecting responses from 215 operations and supply chain managers in retail organizations, analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that all three capabilities exert significant positive effects on supply chain innovation performance, with data-driven decision-making culture partially mediating these relationships. Real-time visibility emerged as the strongest direct predictor, followed by AI/ML adoption and data analytics capability. These findings extend supply chain innovation theory by clarifying the differentiated contribution of distinct data-driven capabilities and offer practical guidance for retail operations managers seeking to prioritize digital investments that generate innovation returns rather than incremental efficiency gains alone.
Smart Eco-Tourism Mangroves: A Strategy For Revitalizing Coastal Tourism Areas Based On Green Architecture and Information Technology (Community Service Study in the Belawan Mangrove Ecotourism Area, Medan City) Bhakti Alamsyah; Jusra Tampubolon; Jufri Antoni; Anita Christine Sembiring; Emmiya Ellovani Br Tarigan; Yovita Simangunsong
International Journal Of Community Service Vol. 6 No. 3 (2026): August 2026 ( Indonesia - Malaysia - Thailand)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i3.1042

Abstract

The Belawan mangrove area in Medan City, Indonesia, possesses significant ecotourism potential yet remains underdeveloped due to inadequate physical infrastructure misaligned with green architecture principles and the minimal utilization of information technology for promotion and visitor management. This community service project aimed to revitalize the area through an integrated "smart eco-tourism" strategy combining sustainable facility design with digital marketing and technology-based visitor interpretation. Using a participatory action research approach involving 30 local management group members, the project implemented three main interventions: (1) collaborative green facility planning (elevated boardwalks, natural ventilation, and local eco-friendly materials), (2) digital promotion training (social media management, photography, and QR-code-based interpretive signage), and (3) institutional strengthening. Results showed significant improvements: participants' technical knowledge increased from a mean pre-test score of 54.2 to 81.6 (a 50.6% increase), social media engagement rose by 65%, and visitor numbers grew by 41.8% within three months post-intervention. The successful integration of green architecture and digital tools created a replicable, community-owned model that enhances ecological sustainability while providing tangible economic benefits. This smart eco-tourism framework offers practical guidance for revitalizing similar coastal mangrove destinations across North Sumatra and other developing coastal regions.
Industrial Engineering Optimization of Trust-Based Industrial Relations in Beverage Manufacturing Using PLS-SEM Jusra Tampubolon; Afnina Afnina
Nucleus Journal Vol. 5 No. 2 (2026)
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v5i2.5213

Abstract

Industrial engineering optimization in manufacturing increasingly requires not only technical process control but also stable socio-technical relations among management, employees, labor unions, and regulatory institutions. This study develops and tests a trust-based industrial relations optimization model for beverage manufacturing using Partial Least Squares Structural Equation Modeling (PLS-SEM). The model examines how management practices, labor unions, government role, and organizational culture influence industrial relations through employee trust. Survey data were collected from 300 employees of beverage manufacturing companies and analyzed through measurement-model and structural-model assessment. The results show that government role (β = 0.328, p = 0.002) and organizational culture (β = 0.347, p = 0.001) significantly increase trust, while trust strongly improves industrial relations (β = 0.770, p < 0.001). The direct effects of management practices, labor unions, government role, and organizational culture on industrial relations are not statistically significant, indicating that these antecedents operate mainly through trust. Mediation analysis confirms that trust significantly mediates the effects of government role (β = 0.252, p = 0.002) and organizational culture (β = 0.267, p = 0.001) on industrial relations. The structural model explains 76.5% of the variance in industrial relations. The findings contribute to industrial engineering by positioning trust as a socio-technical optimization mechanism that converts institutional credibility and organizational culture into cooperative, stable, and conflict-resilient manufacturing relations
Analisis Penyebab Penurunan Produktivitas dan Kualitas Crude Palm Oil (CPO) Menggunakan Metode Failure Mode And Effects Analysis (FMEA) pada Kebun Adolina PTPN IV Rido Sinaga; Jusra Tampubolon
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 5 No. 1 (2026): Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v5i1.6334

Abstract

This study employs the Failure Mode and Effects Analysis (FMEA) method to examine the reasons behind the decrease in Crude Palm Oil (CPO) productivity and quality at the Adolina Plantation of PTPN IV. Plantation production data for the previous four years and CPO quality data based on impurity content metrics are among the data used. The study's findings show that, with a drop of 0.95 tons/ha/year, or 3.97%, the average realized productivity of 22.96 tons/ha/year is still below the RKAP target of 23.90 tons/ha/year. Several divisions, particularly Division 5, saw the most decline. With a standard deviation of 0.0107, the average CPO impurity level was 0.023% with a range of 0.01%–0.04%, which still satisfies quality standards but exhibits variability. According to the FMEA analysis, delays in processing Fresh Fruit Bunches (FFB), with a Risk Priority Number (RPN) of 315, and inefficient fruit sorting, with an RPN of 240, were the primary causes of the drop in CPO output and quality. The findings demonstrated that initial processing and raw material management were more of the primary issues than machine technical issues. It is anticipated that this research would give businesses a foundation for deciding on corrective actions to maximize CPO productivity and quality.
Co-Authors Afnina Afnina Andi Setiadi Manalu Anggianika Mardhatillah anita c sembiring Anita Christine Sembiring Anita Christine Sembiring Ari Prabowo Arwin Tannuary Bhakti Alamsyah Budi Artono Chandra Wijaya Charles M Sianturi Cindy Wijaya Cindy Wijaya, Cindy Daniel N Manalu Daniel Natanael Manalu Darwin Li david Dea A. Persada Sinaga Demak Claudia Yosephine Simanjuntak Dion Saputra H Dion Saputra. H Doris Yolanda Saragih Doris Yolanda Saragih Elfina O.P Damanik Elfina Okto Posmaida Damanik Emmiya Ellovani Br Tarigan Engmir Erikco Limestan Erwin Sirait Evania R S Br Barus Febri Pramudya Wardani febrianti G.P Handi Firinta Togatorop Hengki Mangiring Parulian Simarmata Hengki Mangiring Parulian Simarmata Hengki Mangiring Parulian Simarmata Hengki Mangiring Parulian Simarmata Henry Dunan Pardede Heru Sugara Irwan Budiman Jesica Loren Jon Judiarto Siregar Jon Judiarto Siregar Jongkers Tampubolon Jufri Antoni Jufri Antoni justianus, jeriel Loren, Jesica Mahaitin H Sinaga Mardhatillah, Anggianika Mariana D Sibuea Nina Purnasari Nurmala Sari Pardede, Henry Dunan Parulian, Hengki Poltak Pardamean Simarmara Poltak Pardamean Simarmata Poltak Pardamean Simarmata Purnama Yanti Purba Reformasi Putra Halawa Rensus A. Pardede Reyes V B Tampubolon Rido Sinaga Rido Sinaga Roki - Sabar Duma Sihombing Sabar Dumayanti Sihombing Sandi Maiko Sihite Santonius, celvin Saragih, Doris Yolanda Sibuea, Mariana D Sihombing, Roy Aldo Silaban, Levi simangunsong, lady Simanjuntak, Demak Claudia Yosephine Simarmata, Hengki Mangiring Parulian Simarmata, Poltak Pardamean Sipayung, Rosintan Sitorus, Pedro Situmorang, Zefanya Tarigan, Markonius Boy Teguh Setiawan Wibowo Thalib, Najdah Uni Pratama Pebrina Br Tarigan Wico Jontarudi Tarigan Winston R A Pakpahan Winston Roy Abednego Pakpahan Yovita Simangunsong Yusuf Ronny Edward