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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
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Jurnal TIN: TERAPAN INFORMATIKA NUSANTARA memuat tentang Kajian Bunga Rampai dari berbagai ide dan hasil penelitian para peneliti, mahasiswa, dan dosen yang berkompeten di bidangnya dari berbagai disiplin ilmu seperti: Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum
Arjuna Subject : Umum - Umum
Articles 828 Documents
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Pemanfaatan Model Context Protocol untuk Otomatisasi Root Cause Analysis pada Microservices Berbasis Docker Muhammad Silmy Firdaus; Sahirul Alam
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.10563

Abstract

Microservices architecture deployed in Docker container environments offers high scalability, yet generates large and segmented telemetry data that prevents conventional monitoring methods from supporting rapid root cause analysis. Administrators must manually trace hundreds of metrics and logs through complex dashboards, while existing chatbot approaches remain rule-based and limited to presenting raw data without deep analysis. This study designs and implements a monitoring system that integrates a Large Language Model (LLM) through the Model Context Protocol (MCP) to automate disruption analysis on Docker-based microservices. A custom MCP Server was developed by modifying the open-source Prometheus-MCP-Server repository to bridge two telemetry sources: container metrics collected by Prometheus via cAdvisor, and container logs retrieved from the Docker Daemon via the Docker SDK, combined with a natural-language interface provided by the LLM through Cursor as the MCP Client. The research object consisted of eight e-commerce microservice containers running on a Virtual Private Server. Telemetry accuracy validation yielded a mean MAE of 0.1071 MB and a mean MAPE of 0.29% across all containers. Response-time testing showed the system responding within 3-23 seconds, with the LLM reasoning component dominating 98.72%-99.81% of total response time, while the MCP Server contributed only 0.044 seconds of overhead. Scalability testing with 1-10 concurrent users showed elastic CPU usage and stable RAM consumption within 165.7-169.3 MB. These findings demonstrate the technical feasibility of MCP-based LLM integration for supporting microservices incident analysis through unified access to container metrics and logs, while highlighting limitations in RCA diagnostic accuracy evaluation and production-scale scalability testing.
User-Based Collaborative Filtering for Adaptive Assessment of Students' Critical Thinking: A Systematic Literature Review Elsha Rahma Listyanti; Erna Piantari; H Eka Fitrajaya Rahman
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.10641

Abstract

Assessment is an essential part of the learning process. Standardized assessment often fails to identify students’ cognitive abilities, including critical thinking skills, on an individual basis. Recent research shows growing potential in adaptive assessment through machine learning, particularly user-based collaborative filtering, though its application to critical-thinking instruments remains limited. This study analyzes research trends in the application of an adaptive assessment system based on User-Based Collaborative Filtering (UBCF) as a context-specific question recommendation mechanism that maintains measurement equity. The method used was a Systematic Literature Review following PRISMA 2020, searching four databases (Google Scholar, Semantic Scholar, IEEE Xplore, and GARUDA), yielding 25 final articles from 2,573 records. Findings reveal three results. First, UBCF is reliable as an educational recommendation mechanism, but its use for question selection in assessment remains unexplored, though Elo-rating and hybrid CF-IRT combinations have begun touching this domain. Second, adaptive assessment is consistently more effective than conventional assessment in measuring cognitive ability, provided the mechanism maintains conditional fairness. Third, critical thinking measurement in vocational programming education still relies on uniform conventional instruments, without integrating recommendation systems. This study concludes that UBCF can fill this gap through context-based question adjustment using similarity of student response patterns, while maintaining cognitive equity. Further research is needed for empirical validation in vocational classrooms. This study contributes a research gap map and a context-based adaptivity framework for UBCF-based assessment systems.
Simulasi Sistem Kendali Daya ON/OFF Komputer Desktop Melalui Jaringan Internet Berbasis ESP32 Laverda Shafa Urnakara; Yunianita Rahmawati; Yulian Findawati; Uce Indahyanti
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.10804

Abstract

Desktop computers are well known for their high flexibility and are widely used for advanced computing tasks such as software development, graphic design, and other resource-intensive applications. However, they remain limited in portability due to their relatively large physical size. To overcome this, desktop computers can be accessed remotely over the Internet using software such as Moonlight and Parsec. Nevertheless, this approach introduces another issue, as the computer must remain powered even when not in use, resulting in unnecessary energy consumption. This study aims to develop an Internet of Things (IoT)-based system capable of remotely controlling the power state of a desktop computer, turning it on and off as needed. The research adopts a systems engineering approach using the prototyping method, carried out iteratively from requirements analysis to testing and evaluation. The system utilizes an ESP32, Firebase Realtime Database, and a Flutter mobile app as the user interface. The results demonstrate reliable inter-device communication and remote computer power control with total average response time of approximately 50ms. The device has a compact form factor and is self-powered using the computer's 5V standby power supply. The Flutter mobile app exhibits a responsive user interface, with a render raster time of approximately 2ms on a 60 fps refresh rate. The developed system successfully enables remote computer power control, improving access flexibility while reducing unnecessary energy consumption, directly contributing to the advancement of science and technology, particularly in the application of IoT.
Analisis Tekno-Ekonomi Integrasi PLTS Apung dan PLTM pada Jaringan 20 kV Dudi Hermawandi; Eri Prabowo
TIN: Terapan Informatika Nusantara Vol 7 No 4 (2026): September 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i4.10821

Abstract

The increasing deployment of renewable energy in power systems requires generation capacity to be determined not only by resource potential but also by system characteristics, operational performance, and economic feasibility. Darma Reservoir, Kuningan Regency, has solar and hydropower resources that can potentially be integrated into the 20 kV distribution network of the Kuningan Substation. This study investigates the optimal capacity of a Floating Photovoltaic (FPV) system integrated with a Mini Hydropower Plant (MHP) and the PLN grid by evaluating technical, economic, and environmental performance as well as the robustness of the configuration under changing economic conditions. HOMER Pro simulations were conducted using FPV capacities ranging from 0.5 to 4 MWp and an MHP capacity of approximately 1 MW under a grid-connected configuration. The results show that the minimum NPC is obtained with a 3 MWp FPV system combined with a 1,000.62 kW MHP, achieving a Renewable Fraction of 53.69% and an NPC of IDR 289.481 billion. This configuration reduces CO₂ emissions by 53.07% compared with the Grid-Only condition. Increasing FPV capacity to 4 MWp further increases renewable energy penetration and reduces emissions but raises NPC to IDR 291.902 billion. Sensitivity analysis shows that the 3 MWp configuration is the most robust solution, remaining optimal in 18 of 27 economic combinations, or 66.7% of cases. These findings indicate that technically available FPV capacity does not necessarily represent the most appropriate integration capacity for a specific distribution system. Capacity planning should therefore consider the marginal economic benefits of additional capacity, grid characteristics, and economic conditions to achieve renewable energy integration that is more proportionate to system requirements.
Perancangan Sistem Manajemen Proyek Internal Menggunakan Design Science Research Methodology pada Perusahaan Infrastruktur dan Teknologi Mohamad Fauzan Akmal Pratama; Hustinawaty Hustinawaty
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.10881

Abstract

Infrastructure and technology companies still face challenges in project management because many operational activities are manual, fragmented, and not yet integrated, causing project data management, budget planning, progress monitoring, and reporting to operate inefficiently and delay accurate decision-making. This study aims to design and develop a web-based internal project management system that integrates multi-company master data management, budget planning with multi-addendum support, daily and weekly progress monitoring with S-curve visualization, analytical dashboards, automated PDF reporting, and information distribution through a Telegram Bot. The study applies Design Science Research Methodology (DSRM), which consists of six stages: problem identification and motivation, definition of solution objectives, design and development, demonstration, evaluation, and communication. The system is implemented using Vite, TypeScript, and Tailwind CSS for the frontend, Node.js and Express.js for the backend, and PostgreSQL as the relational database system. Evaluation is conducted through User Acceptance Testing (UAT) involving 29 functional test scenarios across eight module categories, and all categories achieved a 100% success rate. These results indicate that the proposed system improves project monitoring efficiency, maintains reporting consistency, accelerates information delivery to stakeholders, and supports the digitalization of internal project management in an integrated manner. The contribution of this study is the development of an integrated project management system artifact that combines budget management, progress monitoring, project analytics, and information distribution within a single web-based platform to support more structured and measurable internal project management.
Analisis Remaining Life Generator Transformer Unit 5 PLTU Suralaya Berbasis Health Index Menggunakan Multi Parameter Deny Priya Adityawan; I Made Indradjaja M. Brunner
TIN: Terapan Informatika Nusantara Vol 7 No 3 (2026): August 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i3.10888

Abstract

Generator Transformer (GT) merupakan komponen kritis pembangkit listrik tenaga uap (PLTU) yang kegagalannya menyebabkan force outage, namun kerangka health index (HI) konvensional yang bertumpu pada parameter minyak isolasi berpotensi melewatkan degradasi elektrik dan mekanik. Penelitian ini merancang kerangka HI multi parameter yang mengintegrasikan fault factor, paper quality factor, electrical integrity factor, dan acoustic integrity factor, dengan lokasi penelitian di PLTU Suralaya. Bobot faktor dan sub-parameternya ditentukan melalui Analytical Hierarchy Process (AHP) berdasarkan penilaian lima responden ahli, menghasilkan bobot fault factor 29,79%, paper quality factor 49,13%, electrical integrity factor 13,94%, dan acoustic integrity factor 7,15%, kemudian diintegrasikan dengan weighted score sum pada data pengujian generator transformer unit 5, 6, dan 7 periode 2020–2025. Hasil perhitungan menempatkan unit 5 pada 87,67% dan unit 7 pada 96,43% berkategori very good, sedangkan unit 6 pada 82,45% berkategori good. Uraian per faktor mengungkap sensitivitas kategori HI terhadap ambang nilai: kategori very good unit 5 dan unit 7 menyamarkan faktor elektrik dan akustik yang kritis, sedangkan kategori good unit 6 semata disebabkan penuaan wajar tanpa faktor kritis. Validasi terhadap riwayat operasi membuktikan penurunan skor elektrik unit 5 terekam kurang dari satu tahun sebelum kegagalan bushing pada 2024. Kebaruan penelitian terletak pada integrasi dimensi elektrik dan akustik ke dalam HI generator transformer 685 MVA, pembobotan berbasis AHP, serta usulan aturan faktor kritis yang memicu investigasi wajib pada skor ≤ 2.
Analisa Prediksi Produksi Energi PLTA Menggunakan Metode Simulasi Monte Carlo Sinda Ramadhana Akbar; Musa Partahi Marbun
TIN: Terapan Informatika Nusantara Vol 7 No 4 (2026): September 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i4.10913

Abstract

Hydropower Plants (HPPs) are one of the most important renewable energy sources supporting the national electricity supply. However, electricity generation in HPPs is influenced by various factors, including hydrological conditions, water discharge, rainfall, equipment reliability, maintenance schedules, and power system demand, resulting in inherent uncertainty in energy production. This study aims to predict the electricity generation of the Kerinci Merangin Hydropower Plant over a 30-year period using the Monte Carlo Simulation method and to analyze its Capacity Factor (CF). A quantitative approach was employed using historical electricity generation data from the Kerinci Merangin Hydropower Plant. The research procedure included probability distribution analysis, cumulative distribution development, random number generation using Microsoft Excel, and 360 simulation iterations representing 30 years of plant operation. The simulation results indicate a total projected electricity generation of 42,950,284,934 kWh, with an average annual generation of 1,431,676,164 kWh and an average monthly generation of 119,306,347 kWh. The average Capacity Factor was 46.68%, with monthly values ranging from 14.91% to 92.22%, indicating a moderate to high level of plant capacity utilization. Evaluation under the annual Take-or-Pay scheme shows that most simulation results meet the contractual energy target, although seven years are predicted to fall below the target due to variations in hydrological conditions, water discharge, and plant operational reliability. The findings demonstrate that the Monte Carlo Simulation method is effective for long-term electricity generation forecasting and can serve as a valuable tool for operational planning, maintenance scheduling, water resource management, and business strategy development to enhance system reliability and support informed decision-making.
Strategi Penanganan Pengecualian Pasif, Reaktif, Antisipatif: Simulasi Diskrit Ketahanan Operasional Layanan EEG Rawat Jalan Tikno Tikno; Rais Rafdiadzan
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.10957

Abstract

Outpatient electroencephalography (EEG) services face service-time variability, resource constraints, and operational disruptions that increase patient waiting time and Length of Stay (LoS). This study develops a High-Fidelity Discrete-Event Simulation (HF-DES) model that explicitly represents disruptions as operational exceptions in order to compare three handling strategies, namely Baseline (S1, passive), Active Handling (S2, reactive), and Anticipatory Resilience (S3, anticipatory), in terms of both efficiency and operational resilience. The model integrates service flows, probability distributions derived from Quantile Matching Optimization, resource capacities, operational calendars, and disruption mechanisms, and was verified and validated using the Mean Absolute Percentage Error (MAPE) and statistical tests. Experiments used 30 replications per scenario with Common Random Numbers and Holm–Bonferroni correction, together with stress testing through increased demand, machine disruptions, and service durations. The model is highly accurate (MAPE 0.59%; p > 0.05). Scenario S3 performs best, with a LoS of 63.59 minutes (75.73% lower than S1), a waiting time of 6.17 minutes, and the lowest Robustness Index of 12.7% (S1: 571.7%; S2: 16.8%). The superiority of S3 is theoretically grounded: because administrative completeness and resource readiness are verified before patients enter the critical pathway, exceptions are prevented from propagating into the queue, so process variability and cascading delays are reduced at their source rather than recovered after they occur; in queueing theory this reduces waiting time most strongly when utilization is high. Managerially, hospitals can improve both the efficiency and the resilience of EEG services through procedural redesign and hospital information system integration, without adding physicians, technicians, or machines.
Multilabel Aspect-Based Sentiment Analysis pada Ulasan Halodoc Menggunakan Binary Relevance dan SVM Syarif Hidayatullah; Alqis Rausanfita; Pima Hani Safitri
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.10968

Abstract

User reviews on the Halodoc telemedicine application are an important data source for evaluating service quality, but often discuss more than one service aspect with different sentiments in a single review. This condition makes single-label sentiment classification less optimal. This study implements Multilabel Aspect-Based Sentiment Analysis on 2,390 Indonesian-language Halodoc reviews collected from Google Play Store during January to December 2025. Each review was manually labeled by three independent annotators using eight binary labels across four service aspects, combined through majority voting. Data was split 80:20 into 1,912 training samples and 478 testing samples, features were extracted using TF-IDF, and modeling used Onevsrestclassifier(LinearSVC) with a Binary Relevance strategy. Hyperparameter testing via 5-fold cross-validation identified C=100 as the best parameter with a macro Avg F1-score of 0.5672. Final model evaluation on the test data produced a Hamming loss of 0.0662, Subset accuracy of 0.6402, micro avg F1-score of 0.8046, and macro avg F1-score of 0.7179. The results show the highest positive sentiment proportion on Application Performance at 0.7412 and Service Quality at 0.7138, while the highest negative sentiment proportion appears on Price at 0.9189 and Service Completeness at 0.6279.
Implementasi Bcrypt dan SHA-256 untuk Keamanan Autentikasi dan Verifikasi Pengguna Aplikasi Persediaan Barang Usman Usman; Muh. Syahlan Natsir
TIN: Terapan Informatika Nusantara Vol 7 No 5 (2026): October 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i5.11038

Abstract

User authentication and verification security are essential aspects of web-based applications, as insecure credential storage may increase the risk of password disclosure and unauthorized access to the system. This study aims to implement and evaluate a user security mechanism in an inventory application by employing bcrypt for password protection, SHA-256 for verification token generation, and One-Time Password (OTP) for email ownership verification. The study adopted a software engineering approach consisting of security requirement identification, security mechanism design, implementation, and functional and performance testing. Bcrypt was implemented with a cost factor of 12 in the application, while its performance was evaluated using cost factors of 8, 10, 12, and 14 by measuring password hashing and verification times. SHA-256 was employed to generate a verification token from a combination of the user's email address, time information, and a unique identifier, whereas a six-digit OTP was delivered via email and validated against the value temporarily stored in the session. The functional testing results demonstrated that the system successfully authenticated verified accounts with correct passwords while rejecting incorrect passwords, unverified accounts, and invalid OTPs. Increasing the bcrypt cost factor resulted in higher computational time. The hashing times for cost factors 8, 10, 12, and 14 were 45.2 ms, 98.7 ms, 385.4 ms, and 1,542.8 ms, respectively, while the corresponding verification times were 43.8 ms, 96.3 ms, 382.1 ms, and 1,538.6 ms. In the email verification process, OTP generation required 2.1 ms, email delivery required 847.3 ms, and OTP validation required 1.8 ms. These results indicate that bcrypt, SHA-256, and OTP can be integrated as distinct yet complementary security mechanisms, while the selection of an appropriate bcrypt cost factor should consider the trade-off between security requirements and system processing time.

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