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INDONESIA
Siber Journal of Advanced Multidisciplinary
ISSN : 29871018     EISSN : 29871069     DOI : https://doi.org/10.38035/sjam
Siber Journal of Advanced Multidisciplinary (SJAM) is a journal devoted to the publication of scientific articles published by Siber Nusantara Research and under the umbrella of the Yayasan Sinergi Inovasi Bersama (SIBER) and published 4 times a year, namely April, July, October, and January. SJAM as a scientific journal is expected to be able to show the wider community the wealth of knowledge covering various dimensions of life.
Arjuna Subject : Umum - Umum
Articles 78 Documents
Implementing the Project-Based Learning (PjBL) Model to Foster Conceptual Understanding of Electric Circuit House Projects in Sixth Grade Elementary Students Nurpardira, Siti; Truly Wangsalegawa
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 2 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (July - September 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i2.531

Abstract

This study aims to analyze the conceptual understanding of sixth grade students at SDIT Gameel Akhlaq through an electric circuit house project using the Project-Based Learning (PjBL) model. The research employed a qualitative descriptive approach, with data collected through interviews, documentation, and observation. The research subjects consisted of 10 sixth grade students and one science teacher. Data analysis was based on five indicators of conceptual understanding as proposed by Murtiyasa & Sari (2022): restating concepts, classifying objects, representing concepts, connecting concepts, and applying concepts in daily life. The findings indicate that the implementation of PjBL through the electric circuit house project significantly improved students' conceptual understanding. Students were not only able to explain electrical concepts in their own words, but also demonstrated the ability to connect and apply these concepts in real-life contexts.
Analysis of Customer Satisfaction of Mayasari Bakti Buses in Jabodetabek Samaatan, Nuriyati; Ginting, Selamat; Robingah; Firmansyah, Jun; Saputra, Haryo Bimo
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 2 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (July - September 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i2.533

Abstract

This research aims to analyze the influence of public relations as variable X1, service quality as variable X2, and customer satisfaction as variable Y on cosumers of Mayasari Bakti bus in Jabodetabek. This is quantitative research using probability sampling, specifically purposive sampling. Determination of margin of error using the Slovin formula with a margin of error of 10% and 100 respondents. Data was analyzed using SPSS. The margin of error was determined using the Slovin formula with a 10% error rate and 100 respondents. Data were analyzed using SPSS. The research found that the influence of Public Relations on customer satisfaction of Mayasari Bakti transportation services is 0.811, indicating that variable X1 influences customer satisfaction with Mayasari Bakti Bus services. Service Quality as variable X2 yields a value of 0.886, and the Information Needs variable yields a value of 0.879. It can be concluded that both variables X1 and X2 influence variable Y.
Integrated Communication As a Instrument For Building The Image of Hospital Samaatan, Nuriyati; Ariyanti, Dian Metha; Robingah, Robingah; Firmansyah, Jun; K. H., Hendrik
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 3 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (October - December 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i3.559

Abstract

This study aims to determine the integrated communication model as an instrument in building the image of Hospital. The method used in this study is a descriptive qualitative method with a Social Image theory and Berlo Communication Model approach. Data was collected through in-depth interviews with Hospital's Public Relations department and observation of communication activities carried out both internally and externally. The results of the study show that EMHAKA Bekasi Hospital's Public Relations department implements various communication strategies, including the use of social media, relationships with the mass media, and direct communication with the community through social events and health seminars. This is done to increase public understanding of the services provided by the hospital and create a positive impression of the quality of services offered. With effective communication strategies, Hospital has succeeded in building a positive image in the community, which has an impact on patient trust and loyalty. This study provides an overview of the important role of public relations communication in shaping the image of a health institution in the eyes of the public.
Strategic Leadership Models for Enhancing Supervisory Performance: A Phenomenological Inquiry at School Y Palembang, Indonesia Yusriani, Sri; Rekarti, Endi; Abdillah, Said Ridho; Nadif, Bendaoud; Gunarto, Muji
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 4 (2026): (SJAM) Siber Journal of Advanced Multidisciplinary (January - March 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i4.622

Abstract

This study examines how strategic leadership orientations and managerial decisions shape the performance of supervisory personnel in Islamic Senior High Schools in Palembang, Indonesia. Employing an Interpretative Phenomenological Analysis (IPA) approach (Smith et al., 2009) and grounded in qualitative inquiry principles (Creswell & Creswell, 2017), the research uncovers how supervisors interpret leadership expectations, negotiate structural constraints, and enact their roles in everyday practice. Data were generated through semi-structured interviews, field observations, and document review involving supervisory stakeholders at School Y. Findings reveal four key dynamics: (1) supervision planning is consistently initiated through early-year coordination, yet implementation fluctuates due to prioritization shifts and operational overload; (2) coaching occurs through school visitations and mentoring, but remains primarily administrative rather than pedagogical; (3) structural limitations, including inadequate competency-based recruitment, aging workforce profiles, and uneven professional development access, weaken supervisory agility; and (4) supervisors actively engage in adaptive meaning-making, self-learning, and informal peer collaboration to compensate for systemic constraints. The study concludes that effective supervisory development requires strengthened regulatory governance, sustained curriculum-based competency training, and strategic specialization of supervisory roles. Enhancing these mechanisms will enable supervisors to transition from compliance enforcers to instructional leaders capable of driving meaningful school improvement. The results contribute theoretically to supervisory governance within Islamic education and offer practical reform pathways for leadership-based supervision enhancement in Indonesian secondary schools.
Implementation of the Internet of Things (IoT) in Goods Tracking Systems at Freight Forwarding Companies Muhammad Zulfikar; Muhammad Tohir
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 3 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (October - December 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i3.625

Abstract

This study aims to evaluate the implementation of the Internet of Things (IoT) in a freight tracking system at a freight forwarding company. By connecting various physical devices such as sensors and GPS, IoT provides great potential to improve efficiency and visibility in the supply chain. The research method used is a qualitative method with a literature review. This research analyses the concrete benefits of implementing IoT, including improved tracking accuracy, route optimisation, and reduced delivery time. The results show that IoT can be an effective solution to overcome challenges in the modern logistics industry.  
The Influence of Human Resources Competence, Utilization of Digital Tracking, and Road Infrastructure Conditions on Cargo Delivery Timeliness iIvnu Adam Baihaqi; Muhammad Tohir AMTru, MMTr
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 3 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (October - December 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i3.628

Abstract

On-time cargo delivery is a key indicator of service quality in the rapidly growing logistics industry. This study aims to analyze the influence of human resource (HR) competency, the use of digital tracking, and road infrastructure conditions on on-time cargo delivery. The method used was a literature review based on a Systematic Literature Review (SLR), examining various scientific literature related to logistics, supply chain management, and digital technology. The study results indicate that HR competency, including technical skills, team coordination, technology adaptation, and workload management, significantly improves on-time delivery. The use of digital tracking allows for real-time monitoring of fleet and cargo status, thus minimizing delays. Good road infrastructure, including surface conditions, capacity, and smooth traffic flow, also directly impacts delivery efficiency. Based on the literature synthesis, these three factors positively influence on on-time cargo delivery. This study formulates a hypothesis for further study: HR competency, digital tracking, and road infrastructure conditions each positively influence on on-time cargo delivery. These findings provide a conceptual basis for more effective operational strategies to improve logistics performance and customer satisfaction.  
The Influence of Adequate Transportation Infrastructure, Effective Logistics Management and Planning and the Use of Information Technology on Smooth Logistics Andino Artha R; Muhammad Tohir
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 3 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (October - December 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i3.630

Abstract

The effect of Infrastruktur transportasi yang memadai, Manajemen dan perencanaan logistik yang efektif and Pemanfaatan teknologi informasi on Kelancaran Logistik is a scientific article in the literature study within the scope of the field of science. The purpose of this article is to build a hypothesis of the influence between variables that will be used in further research. Research objects in online libraries, Google Scholar, Mendeley and other academic online media. The research method with the research library comes from e-books and open access e-journals. The results of this article: 1) Adequate transportation infrastructure has an effect on smooth logistics; 2) Effective logistics management and planning has an effect on smooth logistics; and 3) Utilization of information technology has an effect on smooth logistics.
Integration of Machine Learning into Lean Six Sigma: A Systematic Review for Enhancing Predictive Analytics in the Pharmaceutical Industry Charles Onyeka Nwamekwe; Raphael Olumese Edokpia; Christopher Igbinosa Eboigbe
Siber Journal of Advanced Multidisciplinary Vol. 3 No. 3 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (October - December 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v3i4.638

Abstract

This study reviews research on integrating machine learning within Lean Six Sigma for predictive analytics in pharmaceutical manufacturing. It targets three operational priorities reported across the literature, predictive maintenance, quality control, and process optimisation. The review follows a systematic design guided by PRISMA and Saunders’ Onion Model, with Scopus and Web of Science as the primary sources. The search applied 2014 to 2024 publication filter and selected peer reviewed journal articles written in English and aligned to the defined scope. Data analysis used thematic analysis with NVivo 15 to code and synthesize evidence across thirty-four studies. Four themes emerged. First, Lean Six Sigma supports productivity and compliance through waste reduction, variation control, and standardised quality practices in pharmaceutical operations. Second, machine learning strengthens the DMAIC cycle by improving pattern recognition, anomaly detection, forecasting, and monitoring, with clear relevance to Analyse, Improve, and Control activities. Third, three dominant framework strategies appear in the literature, model centric designs that embed specific algorithms, process centric designs that align analytics to DMAIC phase objectives, and platform-based designs that combine IoT or cloud infrastructure with continuous data processing and feedback. Fourth, case evidence reports practical gains in documentation and audit readiness, equipment failure prediction, process and batch optimisation, and sustainability-oriented improvement, with recurring benefits reflected in lower rejection risk, reduced downtime, and stronger traceability. The review also identifies persistent constraints. Studies report weak standardisation in model selection and evaluation, limited empirical validation across settings, and recurring implementation barriers such as fragmented data, legacy IT constraints, limited skilled personnel, and low interpretability in regulated contexts. Future work should develop phase specific guidance for ML embedded LSS, expand real time deployment studies using live manufacturing data, strengthen governance and validation practices aligned to GMP and data integrity, and adapt frameworks to plant level constraints and product specific risk profiles.