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Equivalent: Jurnal Ilmiah Sosial Teknik
Published by Politeknik Siber Cerdika Internasional
ISSN : 27750329     EISSN : 27750833     DOI : 10.59261
Core Subject : Economy, Social, Engineering,
Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences
Equivalent: Jurnal Ilmiah Sosial Teknik provides a means for ongoing discussion of relevant issues including the focus and space of the journal which can be examined empirically. This journal publishes research articles covering all aspects of Civil Engineering, Environmental Engineering, computer Engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering, Social and Political Sciences, Education, Economics, Management, Sociology, Religion, Law that belong to the social and engineering context.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 221 Documents
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Enterprise Architecture Design for Class Approval and Scheduling Governance (Permission Planning) at Universitas Terbuka Muhammad Rif’an; Iwan Susanto; Iswaya Maalik; Zakirman Zakirman; Erika Pradana
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.287

Abstract

Background: Large open and distance universities must plan classes under high enrolment volatility, limited teaching capacity, and strict accountability. At Universitas Terbuka (UT), class permission planning is still carried out through fragmented tools such as spreadsheets and email-based coordination. The process becomes slow during peak periods, decisions are hard to trace, and policy rules are applied inconsistently across units. Objective: This study aims to design an academic management solution that makes class permission decisions faster and more explainable while remaining scalable for a mega-university context. Methods: A design science approach was used. The TOGAF Architecture Development Method (ADM) was adapted to produce as-is and to-be business workflows, a unified information model, and modular application and technology architectures. Requirements were collected through observation, document review, and semi-structured interviews with stakeholders from academic administration, academic units, and IT services. Results: A functional prototype (SIMPATIK) was then developed and validated through usability walkthroughs with 40 participants. Mean ratings across five indicators ranged from 4.25 to 4.55 (five-point scale), indicating strong perceived clarity, ease of use, and transparency decision. The findings suggest that an enterprise-architecture-based design can reduce manual bottlenecks and strengthen accountability for class permission planning in open and distance education. The proposed design embeds policy checks at the point of request, routes only exceptional cases to administrators, and records machine-readable explanations and audit trails for every decision. A microservice-based deployment model is specified, supported by an RDBMS cluster, cache/message queue, and observability stack to handle enrolment spikes. Conclusion: These artifacts provide a reusable blueprint for institutions facing similar scale and governance constraints.
Analysis of the Effect of AI Personalization on User Trust and Perceived Price Value and Its Implications for Subscription Intention to Music Streaming Services Frando Adolian Pella; Tuga Mauritsius
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.291

Abstract

Background: This study examines the influence of artificial intelligence (AI)-based personalization systems and user trust on the intention to subscribe to music streaming platforms in Indonesia. Objective: The research objectives include analyzing the impact of personalization on Price Value, Performance Expectancy, and Trust in AI; as well as the mediating effect of trust and expectation on Intention to Subscribe. Methods: The research method is quantitative using a questionnaire survey distributed purposively to active users of Spotify and YouTube Music in Indonesia. The sample was determined using the Slovin formula, resulting in 420 valid respondents consisting of both free tier and premium tier users. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. Results: The results show that AI Personalization has a significant effect on Trust in AI and Price Value. Trust in AI is proven to be an important mediator that increases Performance Expectancy and Effort Expectancy. It was found that Price Value is the most dominant determinant influencing subscription intention, followed by Performance Expectancy and Habit. Conclusion: This study concludes that algorithm transparency and user control are key to building trust, which ultimately drives the perceived value worth subscribing to.
Risk Assessment of Safety Management System Implementation on the Training Ship Barombong Using the House of Risk Method Rina Haryani; Sidrotul Muntaha; Yudi Satria; Rachmat Tjahjanto
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.295

Abstract

Background: The shipping industry has a high level of operational risk, making the implementation of a safety management system a crucial aspect to ensure the safety of the crew, passengers, and ship operations. The Barombong Shipping Polytechnic Training Ship, as a means of education and pioneer transportation, also faces various potential risks that can affect the effectiveness of the implementation of the Safety Management System (SMS). Objective: This study aims to analyze the influence of risk assessment using the House of Risk method on the implementation of the SMS on the Barombong Training Ship and to identify the dominant risk factors affecting operational safety. Method: This research used a descriptive analytical approach with the House of Risk method through the stages of identifying risk events and risk agents, assessing risk probability and impact, and calculating the Risk Priority Number (RPN) to determine mitigation priorities. Data were obtained through field observations, interviews with ship crew, documentation studies, and analysis of Safety Management System reports. Result: The research results indicate that several main risks in SMS implementation include non-conformity with safety procedures, lack of training and emergency drills, and suboptimal safety documentation. Risks with the highest RPN values become the top priority in the mitigation strategy. Conclusion: The application of the House of Risk method is proven to help identify, prioritize, and design risk control strategies more systematically, thereby enhancing the effectiveness of Safety Management System implementation and supporting a safety culture on the Barombong Training Ship.
Lung Nodule Segmentation Accuracy in CT Images Using YOLO, 3D-CNN, and Ensemble ViT-UNETR U-Net Reyga Ferdiansyah Putra; Antoni Wibowo; Dewi Retno Sari Saputro
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.308

Abstract

Background: Lung cancer is the leading cause of cancer-related mortality globally, with over 2.2 million new cases and 1.8 million deaths reported annually (WHO, 2022). Pulmonary nodule detection through low-dose computed tomography (LDCT) screening is the most effective method for early lung cancer identification. However, automated systems still face significant challenges: high false positive rates, limited sensitivity for micronodules (<5 mm), and poor segmentation accuracy for nodules with irregular morphology or juxtapleural attachment. Objective: Lung nodules early discovery is key to treating lung carcinoma, but even conventional systems' micronodules still have high false positives and low accuracy. Method: This study presents an end-to-end hybrid pipeline that uses the LUNA16 database to tackle this issue. The initial stage is to make use of YOLOv12 for Region of Interest (ROI) extraction, with 3D-CNN carrying out false positive filtering through volumetric verification as a gate. The final phase conducts pixel-level precision segmentation using Adaptive Bayesian Fusion on U-Net Residual 3D ensemble (local texture features) and ViT-UNETR (global anatomical context). Results: Experiments showed superior performance level 99.99% Accuracy, Mean Dice Similarity Coefficient (DSC) at 93.88% and IoU is 90.45%. The system was very robust, reaching 97.33% DSC in the micro nodule category (<5 mm). Conclusion: In summary, this integrated architecture delivers an objective, efficient and high-quality solution for automated Diagnosis.
Evaluating Cybersecurity Investment Strategies in a Medium-Sized Enterprise: A Case Study of a Growing POS Service Provider in Indonesia Ryan Adhi Nugraha; Muhammad Hafizhuddin Hilman; Setiadi Yazid; Eko Yon Handri
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.310

Abstract

Background: As mid-sized businesses use third-party integrations on services like SaaS-based POS systems, cybersecurity expands potential avenues of attack. Many of these organizations engage in reactive cybersecurity, or waiting until something happens instead of preventing it. In the face of increasingly complex organizational architecture, it is imperative to reevaluate whether these reactive approaches are still adequate in guaranteeing operational continuity and data safety. Objective: This research is performed to investigate whether a reactive approach of cybersecurity may still suffice for a medium sized company that expands its operation in Indonesia, which runs over the SaaS POS platform. Method: The study uses a qualitative single-case study design. The data were collected through semi-structure interviews with business and engineering stakeholders, triangulated by supporting organizational documents. Data were analyzed through rubric-based qualitative coding and mapped against a literature-derived reactive–proactive cybersecurity posture rubric in regard to incident response, budget allocation, and layered security infrastructure. Results: The results suggest daily operational readiness is limited by symptom-driven detection systems, periodic and manual monitoring practices, and response schedules dependent on unstructured coordination with follow-ups. There are baseline preventive controls, but many program-level capabilities are nascent—everything from centralized telemetry and alerting, to consistent incident workflow with remediation tracking, balanced against a systematic and periodic cadence of assurance. Conclusion: ..
Compliance Assessment in the Renewal of the Building Worthiness Certificate Syapril Janizar; An An Anisarida
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.318

Abstract

Background: The Building Worthiness Certificate (Sertifikat Laik Fungsi/SLF) is a mandatory instrument under Indonesian building law that ensures buildings meet functional and safety standards. For non-residential buildings, SLF validity is limited to five years, necessitating periodic renewal assessments. Despite its importance, empirical studies on the SLF renewal process remain scarce, particularly for industrial facilities. Objective: This study aims to evaluate the compliance level of the PT X Industri building in Bandung against applicable technical and regulatory standards during the SLF renewal process, and to identify technical and administrative gaps that may hinder successful certification renewal. Methods: A descriptive qualitative approach with a single-case study design was employed. Primary data were collected through systematic building inspections covering structural systems, fire protection systems, accessibility, and evacuation systems, supported by semi-structured interviews with building managers and SLF consultants. Secondary data included technical drawings, regulatory documents, and maintenance records. Results: The structural system demonstrated adequate capacity, with a maximum P–M–M (axial force–bending moment–bending moment) interaction ratio of 0.802 (< 1.0), in compliance with SNI 1726:2019. However, deficiencies were identified in fire protection, barrier-free accessibility, evacuation signage, and the completeness of technical documentation, all of which were non-compliant with the respective regulatory standards. Conclusion: The SLF renewal process serves not merely as an administrative formality but as a comprehensive building performance evaluation mechanism. Systematic maintenance programs, enhanced safety facilities, and the digitalization of technical records are recommended to support continuous building quality assurance.
Validation of the Harmonized Mobile Forensic Investigation Process Model (HMFIPM) on Android Devices Mutia Aziza; Muhammad Salman
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.320

Abstract

Background: The increasing use of smartphones has been accompanied by the growing misuse of mobile devices in cybercrime, making mobile forensics essential for identifying, acquiring, recovering, and analyzing digital evidence. However, standardized mobile forensic investigation models for field implementation remain limited. The Harmonized Mobile Forensic Investigation Process Model (HMFIPM) has been proposed as a structured investigation model, but its empirical implementation in an accredited forensic laboratory environment remains underexplored. Objective: This study aims to empirically validate the implementation of HMFIPM as a structured process model for Android mobile forensic investigations within an ISO/IEC 17025-accredited Digital Forensics Laboratory. Methods: This study applied a descriptive and implementation-based approach. Descriptive analysis was conducted through examiner interviews, while implementation analysis was performed by applying the HMFIPM stages to a Samsung SM-A075F device using Full File System extraction with Cellebrite UFED and Android Live extraction with MD. Results: All HMFIPM stages were successfully implemented and mapped to the mobile forensic workflow in the laboratory environment. The model supported a structured, documented, and evaluable investigation process. Differences in artifact recovery were primarily caused by tool-to-method compatibility and application data architecture rather than by limitations of the HMFIPM model. Cellebrite UFED using Full File System acquisition produced more complete artifacts, while MD using Android Live extraction obtained partial application artifacts. Conclusion: HMFIPM is feasible as a standardized framework for Android mobile forensic investigation. However, the feedback mechanism requires refinement. This study proposes an additional data acquisition feedback path alongside the existing analysis feedback path, allowing examiners to revisit the acquisition stage when new investigative needs arise.
Information Security Maturity Assessment Using the KAMI Index 5.0 Based on ISO/IEC 27001:2022: A Case Study of a Government Agency Under the Ministry of Finance of the Republic of Indonesia M. Ihsan Alfani Putera; Nana Aulia Tabita; Dwi Nur Amalia
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.322

Abstract

Background: XYZ Agency has adopted information technology but faces phishing attacks, spam, unclear information security roles, and a lack of prior security evaluation. Therefore, its readiness and maturity must be assessed using the KAMI Index 5.0 and ISO/IEC 27001:2022. Objective: This study aims to evaluate the level of information security readiness and maturity at Institution XYZ, a government agency under the Ministry of Finance of the Republic of Indonesia, using the KAMI Index Version 5.0 aligned with ISO/IEC 27001:2022, and to formulate structured improvement recommendations. Methods: This study employed a qualitative descriptive case study approach through interviews, observation, and document review. Data were assessed using KAMI 5.0, validated through triangulation and member-checking, with coder reliability confirmed by Cohen’s Kappa. Results: The assessment results obtained for the Electronic Systems Category were 29 points, indicating a high level of dependency, with a total score of 347 points across the six evaluation areas. The maturity level falls within the range of I–II, corresponding to a status of basic framework compliance. Subsequently, 97 recommendations for improvement were provided, referring to ISO/IEC 27001:2022. Conclusion: The formulation of these recommendations is expected to assist XYZ Agency in enhancing information security management and mitigating identified risks.
Sentiment Analysis Comparison of Two E-Commerce Platforms Using Random Forest, Support Vector Machine, Logistic Regression, and IndoBERT Theresia Vania Davita Suyana; Sfenrianto Sfenrianto
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.324

Abstract

Background: The rapid growth of e-commerce in Indonesia has generated massive volumes of user-generated reviews. A critical mismatch exists between numerical star ratings and the actual sentiment expressed in review texts, creating unreliable signals for platform management and highlighting the need for text-based sentiment analysis. Objective: This study aims to analyze user review sentiments towards two leading e-commerce platforms in Indonesia using Machine Learning and Deep Learning approaches. Methods: The analysis process was conducted through the CRISP-DM stages, including data cleaning, labeling, model training, and performance evaluation. Two types of labeling were used, namely Rating-Based and VADER-Based, to compare the accuracy levels of sentiment classification. Four models were applied: Random Forest, Support Vector Machine (SVM), Logistic Regression, and IndoBERT. VADER labeling was adapted for Indonesian through preprocessing with an Indonesian-English translation layer. Results: Based on the evaluation results, the IndoBERT model showed the best performance on e-commerce X, with an accuracy of 0.96 using VADER-based labeling. Meanwhile, for e-commerce Y, Random Forest achieved an accuracy of 0.81 using VADER labeling. These results indicate that IndoBERT's Transformer architecture with contextual embeddings enabled superior understanding of Indonesian semantic nuances. Random Forest's advantage on e-commerce Y (627 samples per label) reflects a lower overfitting risk compared to deep learning models on small datasets. Conclusion: This study demonstrates the effectiveness of combining IndoBERT and VADER in Indonesian sentiment analysis and can serve as a reference for the e-commerce industry to improve service quality and customer satisfaction strategies.
Efek Metode Perawatan pada Kekuatan Tekan dan Lentur Beton Serat Campuran (Baja dan Polipropilena) Wahidin Wahidin
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.298

Abstract

Latar Belakang: Infrastruktur jalan merupakan salah satu elemen penting dalam suatu sistem transportasi, dan begitu juga sebagai jaringan jalan pembangunan nasional di Indonesia. Sistem transportasi ditantang setiap tahun dengan peningkatan 10% kendaraan bermotor baru yang membutuhkan kinerja trotoar yang lebih baik. Tujuan: Untuk membandingkan kekuatan tekan dan kekuatan lentur campuran beton bertulang serat dengan komposisi serupa pada dua metode pengawetan yang berbeda, yaitu pengawetan perendaman konvensional dan perlakuan senyawa pengawetian. Metode: Penelitian ini merupakan studi eksperimental yang menerapkan 2 perlakuan pengawetan pada spesimen beton bertulang serat dengan komposisi campuran yang sama. Kekuatan tekan dan lentur spesimen diperiksa pada 3, 7, dan 14 hari dan kemudian lagi pada dua minggu. Setelah pengawetan selesai, Anda kemudian membandingkan hasilnya untuk melihat bagaimana dua metode pengawetan yang berbeda dilakukan. Hasil: Hasil kekuatan tekan pada usia 28 hari yang diperoleh dari metode pengawetan perendaman masing-masing adalah 23,67, 23,58, 20,94 dan 18,86 N/mm²; sedangkan hasil kekuatan lentur untuk metode pengawetan yang sama masing-masing adalah 5,77,6,52,3,70 dan 4,32 N/mm² Di sisi lain, senyawa pengawetan mencapai kekuatan tekan 26,03, 21,32, 26,97 dan 21,22 N/mm² dan kekuatan lentur 6,22,  6,09,4,57, dan 6,77 N/mm² masing-masing. Kesimpulan: Metode senyawa pengawetan dapat mencapai kinerja mekanis yang lebih banyak dibandingkan dengan metode lain di beberapa usia.

Page 21 of 23 | Total Record : 221

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