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Contact Name
Dewi Ratnawati
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jurnalindonesiasosialteknologi@gmail.com
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INDONESIA
Jurnal Indonesia Sosial Teknologi
ISSN : 27236609     EISSN : 27455254     DOI : 10.36418
Jurnal Indonesia Sosial Teknologi is a peer-reviewed academic journal and open access to social (Education, Economic, Law, Comunication, Management and Humaniora) and Technology . The journal is published monthly once by CV. Publikasi Indonesia. Jurnal Indonesia Sosial Teknologi provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically.
Articles 1,347 Documents
AI Literacy as an Enabling Capability for Higher-Order Thinking: A Structural Model of Multidimensional Student Engagement Maulana, Indra; Khojanatun, Khojanatun; Asyifah, Alifiatun
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 2 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i2.9181

Abstract

The integration of artificial intelligence (AI) in higher education is transforming learning processes and requires students to develop adequate AI literacy to effectively engage with AI-mediated learning environments. However, limited research has examined how AI literacy contributes to the development of higher-order thinking skills through student engagement mechanisms. This study aims to investigate the role of AI literacy in enhancing critical thinking and logical reasoning, with multidimensional student engagement behavioral, cognitive, and social engagement as mediating variables. A quantitative research design was employed using a structural equation modeling (SEM) approach to analyze the relationships among the proposed constructs. The findings reveal that AI literacy significantly influences students’ behavioral, cognitive, and social engagement in learning activities. Furthermore, the three dimensions of engagement significantly contribute to the development of higher-order thinking skills, with cognitive engagement showing the strongest effect. The results also indicate that AI literacy has a direct and significant impact on both critical thinking and logical reasoning. These findings suggest that AI literacy functions as an enabling capability that supports deeper learning processes through increased student engagement. This study contributes to the literature by providing empirical evidence of the mechanism through which AI literacy promotes higher-order thinking in AI-supported educational environments and highlights the importance of integrating AI literacy development into higher education curricula.
Supply Chain Performance Measurement Using Scor Model-Based Key Performance Indicators Amelia, Amelia
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 11 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i11.9184

Abstract

This study presents a systematic approach to measuring supply chain performance using the Supply Chain Operations Reference (SCOR) model-based Key Performance Indicators (KPIs). Increasing global competition and post-pandemic supply chain disruptions have made performance measurement a critical priority for organizations seeking operational excellence. Despite the widespread adoption of the SCOR model, existing literature reveals significant gaps in its application within emerging economies and sector-specific contexts. This research employs a quantitative descriptive methodology, drawing on data from 120 respondents representing procurement, logistics, and operations functions across manufacturing firms. Using the five SCOR dimensions—Plan, Source, Make, Deliver, and Return—a total of 25 KPIs were assessed through structured surveys and validated through confirmatory factor analysis. Results indicate that the Deliver and Source dimensions record the lowest performance scores, signaling critical bottlenecks in distribution networks and supplier management. The study also reveals that organizations with integrated digital monitoring systems outperform traditional counterparts in three out of five SCOR dimensions. Findings contribute both theoretically, by extending the SCOR framework to manufacturing contexts in developing regions, and practically, by offering a diagnostic KPI dashboard for supply chain managers. This research underscores the urgency of evidence-based performance measurement as a foundation for supply chain resilience and sustainable competitive advantage.
Optimization Control Access User Use Access Control List Based Mikrotik On Amami Event Organizer Ibnu Ubaedila; Ida Farida
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 1 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i1.9185

Abstract

Technological developments are not only used as a medium for disseminating information but can also be used as a medium for marketing products and services. Amami event organizer is one of the companies engaged in providing services for exhibition events in the city of Cirebon in particular, this company has utilized internet services as part of their service marketing strategy. This study aims to optimize user access control using a Mikrotik-based Access Control List (ACL) to enhance network security and efficiency. Therefore, we need a method that can control internet access effectively and efficiently, the solution is to use the access control list method. The access control list method is a method that is specifically designed to carry out rules in determining the number of packets that may be used and passed by the router or should not be passed. Based on the results obtained from hypothesis testing, it is found that the T count is 37.291 and the comparison of the T table value is 1.724. So with the results that have been found, it can be concluded that Ho is rejected and H1 is accepted. It can be concluded that optimizing user access control by using access control lists can work effectively and is well received by the amami event organizer company. In conclusion, the implementation of ACL using Mikrotik proves to be an effective solution for optimizing user access control and strengthening network security in organizational environments.
Transformation of Human Resource Management in the Era of Digitalization of Indonesian Public Services Solehudin, Solehudin; Mughni, Restu Jahira Dhawi
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 11 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i11.9186

Abstract

The digitalization of public services in Indonesia is a national strategic agenda in order to improve the effectiveness, transparency, and quality of services to the community. This change requires the transformation of Human Resource Management (HRM) so that the apparatus is able to adapt to technological developments, digital work systems, and increasingly complex performance demands. However, the readiness of human resources in facing digital transformation is still a major challenge in various public agencies. This research aims to analyze the role and transformation strategy of Human Resource Management in supporting the digitalization of public services in Indonesia, as well as identify the challenges and opportunities that arise in the transformation process. This study uses a qualitative method with a literature study approach. Data was obtained from various secondary sources such as scientific journals, books, government reports, and regulations related to the digitization of public services and HRM in Indonesia. The data is analyzed descriptive-analytically to gain a comprehensive understanding. The results of the study show that the transformation of HRM in the era of digitalization of public services includes strengthening the digital competence of apparatus, changing the work culture towards more adaptive and collaborative, and implementing a technology-based performance management system. In addition, leadership support, consistent policies, and ongoing training are key factors in the success of HRM transformation in digital public services.
Effect of OPT (Plant Pest Organism) Mechanical Control Method on Sugar Yield and Quality of Sugarcane Stalks (Saccharum Officinarum L.) Ajeng Syadiar Junaedi
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 3 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i3.9183

Abstract

This literature study examines the effect of mechanical control of Plant Disrupting Organisms (OPT) on sugarcane cultivation (Saccharum officinarum L.), particularly its impact on sugar yield and stem quality. The mechanical control methods discussed include manual weeding, klenthek (cutting old leaves), pruning/roaming of pest-infested areas, and the use of traps (pheromones, lamps, nets). The results of the study showed that weed weeding greatly improved the light penetration and photosynthesis efficiency of sugarcane plants (as heavy weeds such as Ipomoea triloba can cover the crown up to 100% and inhibit photosynthesis. Periodic weeding results in better stem growth – greater stem height and diameter – compared to without weeding. The klenthek technique accelerates the hardening of the bark of the stem and stimulates the growth of sugarcane stalks so that the plant is sturdier. Mechanical control of pests such as stem borers (with roges and pheromone traps) and larval retrieval in the field prevent physical damage to the plant, so that photosynthesis, sucrose accumulation, and the strength of sugarcane stalks remain optimal. Finally, mechanical control of OPT has been shown to be positively correlated with an increase in sugar yield and Pol/Brix levels: for example uncontrolled weeds can reduce stem production by up to 25% and reduce yield significantly, while every 1% of segment damage due to stem borer pests can reduce sugarcane yields by 0.5%. Therefore, mechanical management of OPT is essential to improve crop yields and sugarcane quality. The report summarizes findings from various national scientific journals, reports of agricultural institutions, and related technical guidelines.
Pengaruh Inflasi dan Tingkat Pengangguran terhadap Pertumbuhan Ekonomi di Indonesia Periode 2014-2019 Millah, Aep Syaeful; Rahmayani, Rizka
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 11 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i11.9188

Abstract

Pertumbuhan ekonomi merupakan salah satu indikator utama keberhasilan pembangunan suatu negara. Tujuan penelitian ini adalah menganalisis pengaruh inflasi dan tingkat pengangguran terhadap pertumbuhan ekonomi di Indonesia pada periode 2014–2019. Penelitian menggunakan analisis regresi linier berganda dengan data per semester yang bersumber dari Bank Indonesia dan Badan Pusat Statistik. Secara simultan, inflasi dan tingkat pengangguran tidak berpengaruh signifikan terhadap pertumbuhan ekonomi, sebagaimana ditunjukkan oleh nilai F hitung (3,678) yang lebih kecil dari F tabel (3,89) dengan signifikansi 0,060 > 0,05. Secara parsial, inflasi tidak berpengaruh signifikan (sig. 0,557 > 0,05), sedangkan tingkat pengangguran berpengaruh positif dan signifikan (sig. 0,022 < 0,05). Nilai koefisien determinasi yang rendah (Adjusted R² = 0,292) mengindikasikan bahwa 70,8% variasi pertumbuhan ekonomi dipengaruhi oleh faktor-faktor lain di luar model. Temuan ini mengimplikasikan bahwa pengendalian inflasi semata tidak cukup untuk mendorong pertumbuhan ekonomi Indonesia; kebijakan yang lebih efektif perlu diarahkan pada penciptaan lapangan kerja berkualitas dan pengurangan pengangguran terbuka, mengingat tingkat pengangguran terbukti berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi.
The Role of Artificial Intelligence in Enhancing Organizational Procurement Productivity: A Systematic Literature Review Muin, Oskar Ezra Alan; Pandjaitan, M.M. Lanny W.; Lukas, Lukas
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 4 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i4.9189

Abstract

Digital transformation is driving significant changes in various organizational functions, including in the procurement process. Traditional procurement processes  still often rely on manual activities and limited data analysis that can hinder organizational productivity. This study aims to analyze the role  of Artificial Intelligence (AI) in increasing procurement productivity  through the use of data analysis and procurement process automation. The research method used is a literature study by examining various studies related to the implementation of AI in Procurement and supply chain management published in the period 2020–2026. The results of the study show that AI technology such as machine learning, predictive analytics, and intelligent automation is able to improve the efficiency of the procurement process through predicting  needs, automatic supplier evaluation, and data-based decision-making. AI implementation also contributes to reducing human error, increasing transparency, and accelerating the procurement cycle. Thus, the integration of AI in the Procurement system  can increase organizational productivity and support digital transformation in supply chain management.

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