Jurnal Indonesia Sosial Teknologi (JIST)
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1322 research outputs found
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Risk Analysis of The Implementation of Electricity Infrastructure Construction Case Study: Gistet 500 Kv Payton
Full text linkThis research analyzes the construction risks of the 500 kV Paiton High Voltage Substation (GISTET) and develops the most optimal risk treatment based on the risk management standard SNI 8615:2018. The research variables were derived from a literature review, followed by the Delphi Technique questionnaire to identify relevant risks from respondents. Subsequently, a qualitative analysis was conducted using the Consequence/Probability Matrix to identify the dominant risks, followed by a quantitative analysis using the Expected Monetary Value (EMV) calculation. The determination of the most optimal risk treatment for each dominant risk was obtained through Decision Tree Analysis (DTA). The research results identify 38 relevant risks, with 10 classified as dominant, categorized as high, very high, and extreme risks. The three risks with the highest EMV impact values are project execution time not aligning with the project schedule, suboptimal contractor performance, and delays in the arrival and mobilization of materials to be installed. The study's implications underscore the importance of proactive risk management in large-scale construction projects, aiming to minimize potential losses and ensure project success
The Influence of Social Media Marketing on Brand Equity and Consumer Behavior of ABS Mineral Water in Kendari
Full text linkThis 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
Analysis of Earthquake Intensity on Java Island Using K-Means Clustering and GeoMap
Full text linkIndonesia is the country with the second highest earthquake intensity in the world because Indonesia is passed by the confluence of 3 tectonic plates, namely: the Indo-Australian Plate, the Eurasian Plate, and the Pacific Plate. Earthquakes occur due to the movement of tectonic plates that move freely and interact with each other. The impact of the earthquake includes: Tsunami, collapsed buildings, fires, rock collapses, and ground cracks. The purpose of writing this study is to determine the intensity of earthquakes that occur on the island of Java using the K-Means Clustering method. The earthquake data used in this study uses magnitude, depth, and geographical location parameters obtained from existing data. The K-Means Clustering method is used to group earthquake data into several clusters based on their seismic characteristics. The result of this study is to identify seismic zones with similar earthquake intensity. From the results of the cluster obtained, it was used to make data visualization of areas with high earthquake intensity using GeoMa
Determination of The Position and Depth of Aquifers in The Kobakma District of Central Mamberamo District
Full text linkGroundwater availability in aquifers is crucial for sustaining human settlements, particularly in Kobakma District, Central Mamberamo Regency, where clean water distribution faces significant challenges due to seasonal fluctuations and infrastructure limitations. The lack of groundwater utilization has resulted in local communities relying on rainwater as their primary water source, highlighting the necessity to identify potential groundwater sources. This research aims to determine the position and depth of aquifers in Kobakma District using the geoelectric resistivity method. By identifying subsurface conditions and geological formations, the study seeks to map groundwater availability and provide recommendations for sustainable water resource management in the region. The study employs the geoelectric resistivity method using the Schlumberger configuration to measure subsurface resistivity. Data collection was conducted across 13 test points within Kobakma District. The collected resistivity values were analyzed to interpret subsurface lithology and identify potential aquifer zones. The study primarily focuses on detecting free and confined aquifers, considering variations in rock formations, permeability, and groundwater flow dynamics. The results indicate the presence of two primary aquifer layers: a free aquifer distributed across various locations at depths ranging from 10–60 meters and a confined aquifer found at depths between 100–300 meters. Some test points showed aquifer leakage due to fault structures, influencing groundwater movement. The findings suggest that groundwater sources in the study area are unevenly distributed, requiring site-specific extraction strategies. The study provides an aquifer depth distribution map, offering critical insights for future groundwater management and well-drillin
Shellcode Classification with Machine Learning Based on Binary Classification
Full text linkThe Internet can link one person to another using their respective devices. The internet itself has both positive and negative impacts. One example of the internet's negative impact is malware that can disrupt or even kill a device or its users; that is why cyber security is required. Many methods can be used to prevent or detect malware. One of the efforts is to use machine learning techniques. The training and testing dataset for the experiments is derived from the UNSW_NB15 dataset. K-Nearest Neighbour (KNN), Decision Tree, and Naïve Bayes classifiers are implemented to classify whether a record in the testing data is Shellcode or non-Shellcode attack. The KNN, Decision Tree, and Naïve Bayes classifiers achieve accuracy levels of 96.82%, 97.08%, and 63.43%, respectively. The results of this research are expected to provide insight into the use of machine learning in detecting or classifying malware or other types of cyber attacks
Analysis of Liquefaction Potential in The Youtefa Bay Area, Jayapura City
Full text linkThe distribution of soil in Jayapura City, especially the Youtefa Bay area, consists of three dominant soil types that then form the stratigraphy of the local soil layer, namely allifial deposits, silt silt/silt clay, and fine, uniformly grained sand. Soil conditions like this have great potential for liquefaction, especially since this area is mostly passed by fault lines that have the potential to cause earthquakes. The groundwater table factor that is very close to the surface soil is also an important factor in the occurrence of liquifaction. There are 2 ways to analyze the potential for liquifaction, namely by laboratory test and from field test data. The approach to calculating field test data is CPT (Cone Penetration Test) testing. The results obtained were the Cyclic Stress Ratio (CSR) value and the Cyclic Resistance Ratio (CRR) value obtained by simulating seismic data using an earthquake strength of 6.5 on the riter scale and a pic ground acceleration value (0.3), then based on the results of the cone penetration test (CPT)/Sondir showed a maximum value of CRR 2.88, a minimum value of 0.21, a maximum CSR value of 3.70, a minimum value of 2.25. The maximum value of FS is 0.97, the minimum value is 0.07. There are 6 points at the research location that have the potential for liquefaction (Very High), namely points S1, S2, S5, S7, S8, S10, while 3 points with medium potential (High), namely points S3, S4, S9 for those with low potential (Low) S6
Aggressive Low Carbon Innovation (ALCI): A Conceptual Framework for Sustainable Business Competitiveness
Full text linkThe transition toward sustainability in business operations has become a critical driver for competitive advantage in the modern economy. This study explores the integration of Green Innovation Capability (GIC) and Strategic Aggressiveness (SA) to develop the Aggressive Low Carbon Innovation (ALCI), a conceptual framework designed to enhance sustainable business competitiveness. The study synthesizes literature insights and expert interviews using qualitative research methodology to construct a model that aligns organizational transformation, operational optimization, and system integration. The ALCI conceptual framework identifies key enablers such as technological adoption, supply chain optimization, leadership commitment, cultural shifts, and effective data management. These components are strategically linked to address challenges like cost of transition, resistance to change, and system integration complexities. The framework emphasizes aggressive, proactive strategies for implementing green initiatives, fostering collaboration across departments, and leveraging innovative technologies to optimize sustainability outcomes. The study contributes to sustainability literature by demonstrating how combining GIC and SA can facilitate organizational transformation and operational efficiency, enabling firms to achieve a green business model. This framework provides practical implications for managers and policymakers seeking to implement robust green strategies that align with corporate sustainability goals and enhance competitive positioning in the global marketplace. Further research is recommended to validate this model across diverse industries and geographic regions
Performance Analysis of Rural Public Transportation Route Hb2 Larangan Terminal–Krian Terminal, Sidoarjo Regency
Full text linkThis study aims to identify the performance of Lyn HB2 rural public transportation that is actively operating in Sidoarjo Regency, analyze the level of satisfaction and expectations of Lyn HB2 rural public transportation users, and estimate the number of users who are willing to move from motorcycles to Lyn HB2 rural public transportation. The method used involves primary and secondary data obtained through observation and dissemination of questionnaires to Lyn HB2 rural public transportation users, as well as vehicle capacity analysis, dynamic and static surveys, and public transportation performance analysis using nine predetermined parameters. Based on the results of the existing performance, the service performance on the Lyn Hb2 Rural Public Transportation was obtained as a result that the travel time was 2 hours 22 minutes, the frequency of vehicles was 3 per hour, the load factor was 39%, with a headway time of 31 minutes, the number of trips per vehicle per day of the Lyn HB2 Rural Public Transportation as many as 3 trips
Analysis of Patient Safety Culture to Improve Quality at Primaya Hospital Semarang
Full text linkThis study investigates patient safety culture in hospitals, highlighting its role in protecting patients from preventable harm through a culture of safety. Effective patient safety culture involves collaboration, open communication, and strong leadership support but faces challenges like resource limitations and inconsistent staff training. This study uses Primaya Hospital Semarang as a case example to examine how current safety practices align with quality improvement goals. A mixed-methods approach, including surveys and interviews with 169 staff members, used AHRQ’s safety culture survey to analyze teamwork, staffing, communication, and management support, identifying areas for targeted improvement. Key findings include that organizational learning and continuous improvement received the highest positive response (86.17%), followed by teamwork (83.43%) and communication about error (76.57%). However, staffing and work pace was notably weak, with only 48.08% positive responses. In interviews, a strong no-blame culture was emphasized for managing errors, although communication improvements were frequently suggested. Additionally, while routine error reporting was common, gaps in follow-up actions were noted, indicating areas for ongoing enhancement in patient safety practices
Analysis of Social Media Strategy on Behavioral Changes: A Case Study of Dilans Indonesia Organization
Full text linkDigital media access is crucial for the disabled and elderly, but access gaps limit their participation. Dilans Indonesia seeks to empower and fight for their rights through social media. This research aims to analyze the strategies implemented through Dilans Indonesia's social media aimed at achieving changes in public behavior. The initiative of the establishment of Dilans Indonesia is to empower individuals with disabilities and the elderly to become empowered and independent communities while advocating the voices of the disabled and elderly community to the government. This research uses a qualitative research method with a case study approach, which is analyzed through data processing using NVivo software. The research findings show that social media activities carried out by Dilans Indonesia in promoting a culture of inclusive living have created changes in individual perspectives and behaviors towards disability issues as well as increased visibility and involvement of the disabled and elderly community. The continuity in the delivery of the message campaign is in line with the social marketing strategy applied, with the aim of raising awareness, expanding understanding, and changing people's perspectives, attitudes and behaviors towards people with disabilities and the elderly