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INDONESIA
Jurnal Indonesia Sosial Teknologi
Published by CV. Publikasi Indonesia
ISSN : 27236609     EISSN : 27455254     DOI : 10.36418
Core Subject : Economy, Science, Social,
Computer Science & IT Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences
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.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 1,345 Documents
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Innovation and Vulnerability: Balancing Risk and Reward in Small Business Ventures Rani Santika; Rafi Farizki
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 12 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i12.9163

Abstract

This chapter explores the dynamic relationship between innovation and risk management in small business ventures, emphasizing the need to balance technological advancements with effective safeguards to ensure long-term resilience. As small businesses increasingly adopt digital tools and innovative practices in the context of Industry 5.0, they encounter both growth opportunities and heightened vulnerabilities, particularly in cybersecurity, financial stability, and operational continuity. Through case studies and empirical findings, this chapter demonstrates how phased implementation, risk assessment, and resilience-building technologies, such as data analytics and cybersecurity measures, can help mitigate risks associated with innovation. The chapter underscores the importance of a balanced approach, where strategic innovation aligns with robust risk management, empowering small businesses to achieve sustainable growth and competitive advantage in a rapidly evolving market.
Optimizing the Performance of Database and Information Systems Architecture through the COBIT 2019 Framework and ITIL V4: A Case Study of PT. Syntax Corporation Indonesia Mar’atus Solikhah; Vivi Meilinda; Iin Tarsini; Arulfalah Nurwahid; Satrio Rafli Firmansah
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 12 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i12.9164

Abstract

The background of this research focuses on the application of COBIT 2019 and ITIL v4 to improve the performance of information systems and IT management in a company. Along with the rapid development of information technology, organizations are faced with the challenge of optimizing IT management to be more efficient and integrated with business goals. COBIT 2019 offers a framework for holistic IT governance, while ITIL v4 focuses on managing IT services that are more responsive to user needs. The purpose of this study is to analyze and compare the application of the two frameworks in improving the performance of information systems and IT service management, as well as to see their impact on operational efficiency and service quality in the company. The method used is a quantitative descriptive approach with case studies in companies that have implemented both frameworks. Data was collected through observations, interviews, and questionnaires involving IT staff, IT managers, and system users. The results of the study show that the implementation of COBIT 2019 has succeeded in improving IT governance management, while the implementation of ITIL v4 has proven to be effective in improving IT service management. Both frameworks have a positive impact on the performance of databases and IT services, with significant improvements in query response time, data consistency, and reduced system downtime.
Building A Chat App Using Website-Based Cryptography Padri, Abdul Robi; Asro, Asro
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.v7i1.9169

Abstract

One of the social media that is popular today among the general public is the short message application. This research aims to develop a secure web-based chat application by applying cryptographic algorithms, especially Advanced Encryption Standard (AES) and Rivest–Shamir–Adleman (RSA), to maintain the confidentiality of messages. The increasing use of instant messaging apps raises serious concerns regarding data privacy and information security. This research uses a system development approach that includes the design, implementation, and testing stages. AES is used for symmetric encryption of the message body, while RSA is used for secure key exchange. System testing is conducted in a local network environment that involves multiple users to evaluate the system's functionality and performance. The results show that the application is able to encrypt and decrypt messages with high accuracy, supports multi-user communication, and maintains the confidentiality of messages during transmission. In addition, performance testing shows that the encryption and decryption processes run efficiently within acceptable time limits. The conclusion of this study shows that the integration of AES and RSA algorithms in web-based chat applications is effective in improving the security of digital communications. The implication of this study is that the hybrid cryptographic approach can be practically implemented on web-based communication systems to improve user data protection, as well as potentially applied to a variety of other digital communication platforms that require a high level of security.
Argument Structure Development in Bahasa Indonesia: How Bilingual Indonesian-Javanese Children (Ages 4-6) Construct Transitive Verbs in Natural Conversation Al Akromi, Elok Nur Affah
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

Abstract

Bilingual children navigate complex linguistic systems while acquiring argument structures in their developing languages. Indonesian-Javanese bilingual children face unique challenges in constructing transitive verbs due to structural differences between these languages, particularly in word order flexibility and affix usage. Understanding how these children develop argument structure competence provides insights into bilingual language acquisition processes. This study investigates how Indonesian-Javanese bilingual children aged 4-6 construct transitive verbs in Bahasa Indonesia during natural conversations, examining patterns of argument realization, word order preferences, and cross-linguistic influence from Javanese. A qualitative longitudinal approach was employed, collecting 60 hours of naturalistic conversational data from 15 bilingual children in Central Java over six months. Conversations with parents, siblings, and peers were video-recorded in home settings. Transitive verb constructions were transcribed, coded, and analyzed using argument structure frameworks. Results reveal three developmental stages: (1) incomplete argument structures with frequent object omission (ages 4-4.5), (2) emerging full transitivity with word order variation (ages 4.5-5.5), and (3) consistent transitive patterns with appropriate affixation (ages 5.5-6). Javanese influence appeared primarily in pronoun usage and word order flexibility rather than core argument structure. Findings contribute to understanding bilingual argument structure acquisition and inform language education policies for Indonesian multilingual contexts, suggesting that transitive verb instruction should accommodate developmental stages and cross-linguistic transfer patterns in early childhood education. In conclusion, Indonesian-Javanese bilingual children follow a systematic developmental trajectory in acquiring transitive verb argument structures in Bahasa Indonesia. Although bilingual children may experience slight delays compared to monolingual norms, their developmental.
Dark Matter of Learning: A Virtual Ethnography of Digital Underground Communities and the Socio-Emotional Infrastructure of Student Learning Harum Prasasti, Ian; priyangan, Donny muda; Hakim, Arif Rohman; Asyifah, Alifiatun
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.v7i1.9172

Abstract

A Digital learning does not take place exclusively within formal platforms such as Learning Management Systems (LMS), but also emerges in informal and often invisible digital spaces beyond institutional control. This study examines how informal student WhatsApp communities function as a socio-emotional infrastructure that supports learning processes outside formal educational systems. Employing a qualitative virtual ethnography approach, data were collected through passive observation, digital documentation, and analysis of naturally occurring conversations and shared learning artefacts over one academic semester. Thematic analysis following Braun and Clarke’s framework identified four interconnected themes: collaborative learning management, access and distribution of academic knowledge, emotional support and peer solidarity, and safe spaces for academic courage. The findings reveal that these informal digital communities operate as an alternative learning ecosystem that sustains students’ academic engagement, emotional well-being, and willingness to participate intellectually. This study conceptualizes such communities as the “dark matter of learning” an invisible yet critical socio-emotional structure that underpins student learning beyond institutional LMS environments. The findings highlight the importance of recognizing and integrating informal digital learning spaces into a more holistic digital learning ecosystem.
Precision Aquaculture Integration with IoT Multi-Parameter Water Quality Sensor for Tambak Udang Farmers in Cirebon Coastal Area Nasir, Mohamad; Fatimah, Ade Fitria
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.v7i2.9173

Abstract

Shrimp aquaculture in the coastal tambak areas of Cirebon, West Java, faces persistent challenges related to fluctuating water quality driven by tidal dynamics and estuarine pollution, which frequently result in mass shrimp mortality events that devastate smallholder farmers' livelihoods. This study aimed to design, implement, and evaluate a low-cost IoT multi-parameter water quality monitoring system for vanamei shrimp (Litopenaeus vannamei) tambak farmers in Kecamatan Losari and Gebang, Cirebon. A mixed-methods research design was employed, integrating experimental hardware development, quantitative sensor validation, and qualitative usability assessment through a 30-day field deployment across five active pond units. The system utilized a NodeMCU ESP32 microcontroller integrated with pH, dissolved oxygen (DO), temperature (DS18B20), salinity, and turbidity sensors, transmitting real-time data via WiFi and LoRa to Firebase and ThingsBoard cloud platforms, accessible through an Android mobile application. Results demonstrated strong sensor accuracy across all parameters, pH (MAE ±0.20), DO (MAE ±0.27 mg/L), and temperature (MAE ±0.09°C), with system uptime of 94.7% and mean alert notification latency below five seconds. Farmer usability evaluation yielded a System Usability Scale (SUS) composite score of 78.4 (Grade B=Good). No mass mortality events occurred during the trial period, providing preliminary evidence of tangible aquaculture outcome improvement. The study concludes that affordable, participatory-designed IoT monitoring systems can effectively bridge the technology-adoption gap in smallholder coastal aquaculture, with recommendations for LoRa-primary connectivity, wet-season validation trials, and AI-driven predictive alert integration in future iterations.
Transformation of Social Interaction of Generation Z in the Era of Artificial Intelligence: An Analysis of Changes in Digital Communication Patterns Lestari, Ana; Fitriani, Renita
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.v7i2.9174

Abstract

The development of digital technology and the emergence of Artificial Intelligence (AI) have brought significant changes in people's communication patterns, especially in Generation Z known as the digital native generation. The integration of AI in various communication platforms such as social media, chatbots, and recommendation systems is influencing the way this generation interacts, obtains information, and builds social relationships in the digital space. These changes create new dynamics in social interaction that need to be studied more deeply from a social and technological perspective. This study aims to analyze the transformation of Generation Z's social interaction in the Artificial Intelligence era and identify changes in digital communication patterns that arise due to the use of AI-based technology in daily life. This study uses a qualitative approach with literature study methods and descriptive analysis. Data is obtained from various scientific sources such as journal articles, books, and research reports that are relevant to the topics of social interaction, digital communication, and the development of Artificial Intelligence. The data was then analyzed thematically to identify patterns of change in interaction and communication in Generation Z. The results of the study show that the presence of Artificial Intelligence has changed the communication patterns of Generation Z to be faster, technology-based, and tend to take place in the digital space. AI is also influencing the way this generation accesses information, expresses itself, and builds social relationships. In addition to providing ease and efficiency of communication, the use of AI also raises challenges such as technology dependence, a decrease in the quality of face-to-face interactions, and the potential for the spread of inaccurate information in the digital space.
Synthesis of Coal-Fly-Ash Geopolymer for Sustainable Construction Material: Optimisation of Formulation and Environmental Characterisation Syafi’i, Akhmad; Prahitaningtyas, Sherina; Hendrian, Sukma; Rismanto, Malik; Faradilla, Hilyah Farhany
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 12 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i12.9175

Abstract

This study investigates the synthesis of geopolymer materials derived from Indonesian coal fly ash as a sustainable alternative to conventional cement. The research aims to optimize geopolymer synthesis parameters and evaluate the environmental performance of the resulting material. Using a laboratory experimental approach supported by qualitative analysis, the study examined the effects of key parameters including alkali activator concentration, Si/Al ratio, and curing temperature on geopolymer formation. Experimental observations and supporting expert insights indicated that optimal geopolymerization occurred at an activator concentration of 10–12 M NaOH, a Si/Al ratio of approximately 2.0–2.5, and a curing temperature of around 60°C, producing dense and structurally stable materials. Environmental characterization revealed that heavy-metal leaching levels of Pb, Cd, and Cr were significantly below regulatory thresholds, indicating strong immobilization within the geopolymeric matrix. In addition, the utilization of coal fly ash contributes to reducing industrial waste accumulation and lowering carbon emissions associated with cement production. These findings demonstrate that coal-fly-ash–based geopolymers possess strong potential as sustainable construction materials. However, large-scale implementation requires standardized technical guidelines, supportive regulatory frameworks, and collaboration between research institutions and industry stakeholders.
Business Intelligence Models to Support the Digital Transformation of MSMEs in Indonesia in the Digital Economy Era Solikhah, Mar’atus
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 12 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i12.9177

Abstract

The background of this research is motivated by the increasingly rapid digital transformation in various sectors, including in the MSME industry in Indonesia. Although the MSME sector makes a significant contribution to the economy, many MSME actors have difficulty in implementing digital technology effectively, especially in data-driven decision-making. One of the solutions that can support this digital transformation is Business Intelligence (BI) based on Big Data Analytics, which allows MSMEs to manage big data and increase operational efficiency and competitiveness. The purpose of this research is to develop a Business Intelligence (BI) model that can be adopted by MSMEs in Indonesia to support their digital transformation in the digital economy era. This study uses a quantitative approach with an explanatory research design, as well as Structural Equation Modeling (SEM-PLS) to test the relationship between variables that affect the adoption of BI in the MSME sector. The results of the study show that Business Intelligence based on Big Data Analytics has a significant influence on the digital transformation of MSMEs in Indonesia, especially in improving data-based decision-making and operational efficiency. The proposed BI model is proven to support MSMEs to adapt to market dynamics and increase their competitiveness.
Business Intelligence Models to Support the Digital Transformation of MSMEs in Indonesia in the Digital Economy Era Solikhah, Mar’atus; Maulana, Sandi Agus
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.v7i2.9178

Abstract

The background of this research is motivated by the increasingly rapid digital transformation in various sectors, including in the MSME industry in Indonesia. Although the MSME sector makes a significant contribution to the economy, many MSME actors have difficulty in implementing digital technology effectively, especially in data-driven decision-making. One of the solutions that can support this digital transformation is Business Intelligence (BI) based on Big Data Analytics, which allows MSMEs to manage big data and increase operational efficiency and competitiveness. The purpose of this research is to develop a Business Intelligence (BI) model that can be adopted by MSMEs in Indonesia to support their digital transformation in the digital economy era. This study uses a quantitative approach with an explanatory research design, as well as Structural Equation Modeling (SEM-PLS) to test the relationship between variables that affect the adoption of BI in the MSME sector. The results of the study show that Business Intelligence based on Big Data Analytics has a significant influence on the digital transformation of MSMEs in Indonesia, especially in improving data-based decision-making and operational efficiency. The proposed BI model is proven to support MSMEs to adapt to market dynamics and increase their competitiveness.

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