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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 1,324 Documents
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THE EFFECT OF CORPORATE SOCIAL RESPONSIBILITY, DEBT TO EQUITY RATIO, AND ASSET GROWTH ON STOCK PRICE VOLATILITY WITH FIRM SIZE AS A MODERATING VARIABLE IN CONSTRUCTION COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE Saputri, Megarini Dinda; Pramudena, Sri Marti
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 8 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i8.9099

Abstract

Stock price volatility is an important indicator for investors in assessing market risk, and it can be influenced by various internal and external factors. Previous studies on the effects of corporate social responsibility (CSR), debt to equity ratio (DER), and asset growth on stock price volatility have produced inconsistent findings, particularly when firm size is considered as a moderating variable. This study aims to analyze the influence of CSR, DER, and asset growth on stock price volatility, with firm size as a moderating variable, in construction companies listed on the Indonesia Stock Exchange. A quantitative approach was employed using secondary data from annual reports and financial statements of 15 construction companies for the 2018–2022 period. The data were analyzed using multiple linear regression with interaction terms to test the moderating effect. The results indicate that CSR and asset growth have a positive but insignificant effect on stock price volatility, while DER has a positive and significant effect. Firm size does not moderate the relationship between CSR and asset growth with stock price volatility but moderates and weakens the influence of DER. These findings suggest that, in the construction sector, leverage is a stronger driver of stock price volatility than CSR or asset growth, and that larger firms can mitigate the risk impact of high DER. The implications of this study highlight the need for effective debt management, strategic CSR implementation, and optimal asset utilization to reduce market risk and enhance investor confidence.
The Influence of Social Media Marketing on Brand Equity and Consumer Behavior of ABS Mineral Water in Kendari Maryadi, Muhammad Aditya; Nur, Muh.; Supriaddin, Nofal
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 8 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i8.9101

Abstract

This study aims to analyze the effect of social media marketing on brand equity and consumer behavior of ABS mineral water in Kendari. The research uses a quantitative approach with Structural Equation Modeling (SEM) based on Partial Least Squares (PLS). The sample consists of 164 respondents who are ABS mineral water consumers and active social media users in Kendari City. Data collection was conducted through questionnaires using a Likert scale. The results show that social media marketing has a positive and significant effect on consumer behavior (path coefficient 0.626, p-value 0.00 < 0.05) and brand equity (path coefficient 0.721, p-value 0.00 < 0.05). Brand equity has a positive but limited significant effect on consumer behavior (path coefficient 0.152, p-value 0.050). However, brand equity does not significantly mediate the relationship between social media marketing and consumer behavior (path coefficient 0.110, p-value 0.056 > 0.05). The study concludes that social media marketing is more effective in directly influencing consumer behavior rather than through brand equity mediation in the context of ABS mineral water in Kendari.
The Implementation of Regional Regulation Number 2 of 2024 Concerning Regional Taxes and Regional Levies on the Original Regional Revenue of Southeast Sulawesi Province Rusli, Alfa Sari Ode; Nur, Muh.; Sabilalo, Mahmudin A.
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 8 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i8.9102

Abstract

The implementation of regional tax and retribution collection policies is crucial for increasing regional revenue independence and reducing dependence on central government transfer funds. This study aims to analyze the implementation of Southeast Sulawesi Provincial Regulation Number 2 of 2024 Concerning Regional Taxes and Regional Retributions, identify constraints faced, and examine efforts made to overcome these constraints. This research employed a descriptive qualitative method conducted at the Regional Revenue Agency of Southeast Sulawesi Province from January to March 2025. Data were collected through in-depth interviews with key informants, observation, and documentation study. Data analysis used the interactive model of Miles and Huberman. The results show that: (1) policy implementation based on George C. Edward III's model has been running well in terms of communication, resources, disposition, and bureaucratic structure; (2) constraints include low taxpayer awareness and limited human resource quality and quantity; (3) efforts made include massive socialization and education programs, and capacity building through technical training. The study concludes that, while implementation has been effective, continuous efforts are needed to enhance taxpayer compliance and improve human resource capacity for optimal regional revenue collection.
Balanced Score Card: Transparency and Accountability of the Social Family's Hope Program (PKH) Rifqi H, Muhammad; Hermawan, Hilmi; Khumayah, Siti; Rahmayanti, Rahmayanti
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 7 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i7.9093

Abstract

This study aims to analyze the level of transparency and accountability in the implementation of the Social Family's Hope Program (PKH) in Tukmudal Village, Cirebon Regency, using the Balanced Scorecard (BSC) approach developed by Kaplan and Norton. This approach was chosen because it provides a comprehensive overview of program performance, not only from a financial perspective but also from the perspectives of customers, internal business processes, and learning and growth. The method used is descriptive qualitative, with data collection techniques including in-depth interviews, field observations, and document studies. Data validity was tested using source triangulation. The research findings indicate that the implementation of the PKH program has been transparent and accountable, with targeted distribution of assistance funds and active participation from village officials, social workers, and the community. However, the long-term effectiveness of the program still needs to be strengthened through integration with economic empowerment programs. Thus, the implementation of the Balanced Scorecard can serve as an effective evaluation tool to improve the governance of social assistance programs, particularly in ensuring the sustainability of benefits for recipient families.
Pendekatan Kecerdasan Buatan Hibrida dalam Meningkatkan Akurasi Prediksi Churn pada Big Data Riyan, Ade Bani
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 8 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i8.9094

Abstract

The explosion of digital data has given birth to the era of big data, which presents great opportunities as well as significant challenges in knowledge extraction. Traditional data mining processes often face obstacles in terms of accuracy and efficiency when faced with massive data volume, variety, and speed. This study aims to propose and evaluate a hybrid model based on Artificial Intelligence (AI) to improve the performance of the data mining process on large-scale data sets. The proposed model integrates the power of Random Forest's algorithm in handling structured data and resistance to overfitting, with the ability of Neural Networks to model complex non-linear relationships. The research uses a case study on customer churn data from the e-commerce industry which contains 1.5 million records, with comprehensive data mining process stages, ranging from data preprocessing, feature engineering, to model implementation. The results of the evaluation showed that the hybrid model achieved an accuracy of 94.7% and an AUC (Area Under the Curve) value of 0.97, significantly outperforming the Random Forest (91.2% accuracy, 0.93 AUC) and Artificial Neural Network (92.5% accuracy, 0.95 AUC) models. Although hybrid models require slightly higher computational times, the substantial increase in accuracy provides a strong justification for their use in critical business scenarios. This study provides empirical evidence that the hybrid AI approach is an effective and promising strategy to address the challenges of big data analysis, particularly in critical business scenarios where predictive accuracy is a top priority.
Sistem Penyiraman Tanaman Indoor Berbasis Sensor Suhu, Kelembaban, Dan Cahaya Menggunakan Logika Fuzzy Logic Sudrajat, Sudrajat
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 7 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebagai salah satu pusat produksi sayuran di Jawa Barat, Kabupaten Indramayu memiliki peran penting dalam memenuhi kebutuhan pasar. Namun dalam pemenuhannya, tantangan akan efisiensi penggunaan air, waktu, serta tenaga masih dialami oleh petani, khususnya dalam proses penyiraman tanaman yang masih dilakukan secara manual. Selain itu, meningkatnya kesadaran akan konsumsi sayuran sehat tanpa paparan pestisida mendorong masyarakat untuk membudidayakan tanaman secara mandiri di dalam ruangan. Budidaya indoor dipilih sebagai solusi ketika ketersediaan lahan terbatas dan kondisi lingkungan luar tidak mendukung pertumbuhan tanaman secara optimal. Penelitian ini bertujuan untuk merancang serta mengimplementasikan sistem penyiraman otomatis berbasis logika fuzzy Mamdani untuk budidaya tumbuhan sawi( Brassica rapa) secara indoor. Sistem ini memakai mikrokontroler ESP32 yang terintegrasi dengan sensor kelembapan tanah( Soil Moisture), sensor temperatur( DS18B20), serta sensor intensitas cahaya( GUVA- S12SD), dan dilengkapi lampu UV Growlight yang dikonfigurasi menyala selama 20 jam per hari guna mendukung fotosintesis dalam keadaan kurang cahaya alami. Proses penyiraman diatur secara adaptif berdasarkan parameter lingkungan menggunakan logika fuzzy, sedangkan pemantauan serta pengendalian sistem dilakukan secara real- time melalui platform Node- RED dengan komunikasi data berbasis protokol MQTT. Hasil pengujian menampilkan bahwa sistem mampu menyesuaikan frekuensi serta durasi penyiraman secara efisien, mendukung perkembangan tumbuhan secara maksimal, dan membagikan kemudahan pemantauan jarak jauh. Sistem ini dinilai efisien diterapkan untuk pertanian urban serta rumah tangga dengan lahan terbatas.
LAPORAN PRAKTIK INVESTASI DI CABANG BARU MARTABAK MINI KAJEK DI JALAN KALIURANG Headystya Wildan Taufiq, Bea; Isfianadewi, Dessy; Hidayat, Anas
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 9 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i9.9106

Abstract

The research method used in this business practice report is descriptive qualitative with a case study approach at the Martabak Mini Kajek business branch on Jalan Kaliurang. Data were collected through direct observation at the outlet, interviews with the owner, employees, and consumers, documentation in the form of sales records and promotional media, and literature studies related to MSME business strategies. All data were analyzed descriptively analytically by comparing the actual conditions of the business with business management theory, and using SWOT analysis and Porter's Five Forces to identify the strengths, weaknesses, opportunities, threats, and competitive position of Martabak Mini Kajek in the local culinary market.
Development of a Web-Based School Library System at SMPN 57 Bandung Aprianto, Raka; Fajar, Muhammad Alam; Yoel, Revellino; Ferdhiansyah, Dhafa; Ardyansyah, Luthfi
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 9 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i9.9107

Abstract

School libraries serve as fundamental pillars in the educational ecosystem, providing essential resources and services that support both teaching and learning processes across all academic levels. However, the persistent reliance on manual management systems continues to present significant challenges, including inefficiencies in data processing, increased susceptibility to human error, reduced accuracy in record-keeping, and substantial time consumption in routine administrative tasks. This community service research aims to design, develop, and implement a comprehensive web-based library management system to address the operational challenges faced by SMPN 57 Bandung, specifically targeting improvements in book cataloging, borrowing procedures, return processes, and overall administrative efficiency. The methodology employed a systematic waterfall development approach, incorporating comprehensive needs analysis, user-centered design principles, iterative testing protocols, and stakeholder engagement throughout the development lifecycle. The system was developed using the PHP programming language with the CodeIgniter framework and MySQL database management. This system includes features such as book information, borrowing data, returning, and an admin dashboard. The implementation results demonstrate significant improvements in operational efficiency, with transaction processing time reduced from an average of 5 minutes to less than 1 minute per transaction, elimination of data duplication errors, and enhanced user satisfaction among both library staff and students. These findings have broader implications for digital transformation in educational institutions, particularly in developing cost-effective solutions for resource management challenges commonly faced by Indonesian schools.
The Role of Technology in Arabic Language Learning: Innovation and Challenges in the Digital Age Fatahillah, Mubarok; Hafidhoh, Husnul
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 9 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i10.9120

Abstract

This research aims to measure the effect of technology use in Arabic language learning on improving students' language skills at STAI Kuningan. Using a quantitative approach with a simple linear regression analysis method, this study involved 100 respondents consisting of students and teachers. Data were obtained through questionnaires distributed to respondents and analyzed to identify the relationship between technology use and Arabic language skills. The results of the study showed a significant positive relationship between the two variables. Every additional hour of technology use per week increased Arabic language skill scores by 3.679 points. The linear regression analysis showed an R Square value of 0.988, indicating that 98.8% of the variation in Arabic language skills can be explained by technology use. The validity and reliability tests of the research instrument also showed good results, with a Cronbach's Alpha value of more than 0.7. This study recommends that STAI Kuningan strengthen the use of technology in Arabic language learning to improve students' skills more effectively and efficiently.
Optimizing Early Detection of Early Childhood Developmental Disorders: The Role of Artificial Intelligence (AI) and Parental Involvement in Effective Interventions Hafidhoh, Husnul; Fatahillah, Mubarok
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 10 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i10.9124

Abstract

Early detection of developmental anomalies in children is crucial for timely intervention, which can significantly enhance long-term developmental outcomes. This study aims to evaluate the effectiveness of an artificial intelligence (AI)-based detection tool and parental involvement in identifying and managing developmental disorders in children aged 2 to 6 years. A longitudinal research design was employed, involving 300 children exhibiting early signs of developmental disorders and 150 children in a control group. Data were collected through behavioral observation, AI-based analysis of video and audio interactions, and interviews with parents and educators. The findings revealed that the AI tool demonstrated high sensitivity in detecting motor, language, and autism-related disorders. Children who received early interventions showed significant improvements, particularly in motor skills, language development, and social interaction. Parental involvement in the intervention process further accelerated these improvements. This study highlights the potential of AI to enhance early detection and intervention, especially in resource-limited areas, and underscores the importance of engaging parents in the developmental process of their children. These findings contribute to the understanding of how AI can be integrated into early childhood care programs to improve outcomes for children with developmental challenges.

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