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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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Pengaruh Merger, Budaya Organisasi, dan Gaya Kepemimpinan Terhadap Komitmen Pegawai CH Bagus Anggara Jita; Ike Kusdyah Rachmawati; Lussia Mariesti Andriany
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.v7i3.10870

Abstract

The consolidation of Indonesian rural banks (Bank Perekonomian Rakyat; BPR) can strengthen institutional capacity but may also create uncertainty among employees before the merger becomes legally effective. This study examined the effects of merger, organizational culture, and leadership style on employee commitment at PT BPR Chandra Muktiartha. A quantitative cross-sectional survey design was employed. Likert-scale questionnaires were distributed to 138 employees; 64 were returned, of which 58 were complete and eligible for analysis. Each construct was measured using 12 items. Data analysis included descriptive statistics, validity and reliability testing, classical assumption tests, and multiple linear regression. Employee commitment was categorized as high (M = 4.149, SD = 0.452). The regression model was statistically significant, F(3, 54) = 8.242, p < .001, with an R² of .314. At the predictor level, organizational culture had a positive and significant effect on employee commitment (B = 0.474, p = .033). In contrast, neither merger (B = -0.072, p = .559) nor leadership style (B = 0.218, p = .124) had a significant effect. These findings indicate that, during the pre-merger stage, employees' day-to-day experience of organizational culture plays a more immediate role in shaping their commitment than structural changes that have yet to be implemented. Management should prioritize the internalization of organizational values, open communication, cross-unit collaboration, fairness, and consistent explanations regarding each stage of the merger process. The generalizability of the findings is limited by the cross-sectional design, non-probability sampling, and single-organization setting. The study contributes phase-specific evidence from a rural bank by testing the three predictors in one model and showing that organizational culture is the only significant partial predictor before the structural change is implemented.
Pengaruh Kompetensi dan Budaya Organisasi terhadap Efektivitas Koordinasi Penanganan Perkara Koneksitas Wisnu Muhammad Nuur Huda; Hery Erdi
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.v7i3.10899

Abstract

This study analyses the effect of competence and organizational culture on the effectiveness of coordination in handling connexity cases at the Deputy Attorney General for Military Crimes (JAMPIDMIL), Attorney General's Office of the Republic of Indonesia. Handling connexity cases requires coordination among the Prosecution Service, the Military Oditurat and the Military Police, yet practice still shows recurring delays, differing perceptions of authority and non-uniform administrative formats. A quantitative causal-associative approach was applied at the central office of JAMPIDMIL. From a population of 137 employees, purposive sampling identified 64 eligible employees, and 46 complete responses were analysed. Data were collected through a closed questionnaire of 51 items on a five-point Likert scale and analysed using multiple linear regression with SPSS, preceded by validity, reliability and classical assumption testing. The results show that competence has a positive and significant partial effect on coordination effectiveness (t = 2.699; sig. = 0.010), while organizational culture is not yet partially significant (t = 1.976; sig. = 0.055). Simultaneously, both variables have a positive and significant effect (F = 23.670; sig. = 0.000) with a coefficient of determination of 0.524. The study concludes that competence is the dominant determinant, whereas organizational culture functions as a collective foundation, consistent with the Islamic values of itqan, ta'awun and syura. This study offers three contributions. Theoretically, it extends the application of the competence and organizational culture constructs from the domain of individual performance to that of inter-organizational coordination effectiveness. Methodologically, it operationalises Damhuri’s public sector coordination framework, previously conceptual in nature, into a tested eighteen-item scale. Practically, it provides an empirical basis for prioritising human resource development in work units that carry a cross-institutional coordination mandate.
Sistem Informasi Arsip Berkas Perkara dengan Replikasi Basis Data dan Deteksi Anomali VAE Sepfliana Qethi Jaminda Eka Putri; Hadi Kurnia Saputra; Ahmaddul Hadi; Delvi Asmara
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.v7i3.10906

Abstract

The management of case-file archives in prosecutorial institutions requires accurate tracking, controlled access, and reliable protection of archival records throughout the pre-prosecution, prosecution, and execution stages. Existing archival procedures rely on retention schedules and access-control mechanisms, but the management and protection of archival information require digital support to improve traceability, data integrity, and resilience against unauthorized activities or data loss. This study develops a case-file archive information system that integrates digital archival metadata with security and data-resilience mechanisms. The proposed system combines two-factor authentication (2FA) using TOTP, Role-Based Access Control (RBAC), SHA-256 cryptographic hashing, immutable audit logs with hash chaining, database replication using a Primary-Replica architecture with Write-Ahead Logging (WAL) streaming, and anomaly detection using a Variational Autoencoder (VAE). The system was developed using an Evolutionary Prototype approach and implemented with Electron, ReactJS, Node.js, PostgreSQL, and PyTorch. Evaluation was conducted in an intranet environment with approximately 100 active users through User Acceptance Testing, API testing, integrity testing, database replication testing, and VAE performance evaluation using Precision, Recall, F1-Score, and AUC-ROC. The results showed that all 13 functional scenarios and 16 API endpoints operated as expected, integrity mechanisms successfully detected all data manipulations in the test data, and database replication was synchronized automatically. The VAE achieved a Recall of 1.0000, F1-Score of 0.8197, and AUC-ROC of 1.0000, while its Precision of 0.6944 indicates that further threshold optimization and model refinement are required to reduce false-positive detections. The system therefore serves as digital support for existing archival procedures rather than replacing established archival practices in prosecutorial institutions.
Implementasi Pengelompokan Citra Batik dengan Pendekatan Metode Graph-Based Multi-View Clustering Budi Hartono; Veronica Lusiana
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.v7i3.10967

Abstract

Batik is a cultural heritage of Indonesia characterized by a rich array of motifs, colors, geometric patterns, and complex textures. This visual complexity makes Batik images compelling subjects for analysis using image processing and machine learning approaches, particularly for unsupervised clustering. A primary challenge in this research is effectively representing Batik's visual characteristics so pattern similarities can be accurately identified. Three texture features contrast, entropy, and energy serve as distinct "views" of Batik characteristics. These feature values are obtained by extracting them using the Gray-Level Co-occurrence Matrix (GLCM) method. The study utilizes a Graph-based Multi-View Clustering approach to group Batik images based on inter-image similarity. The study constructs a combined consensus graph with 30 nodes and 219 edges by integrating contrast, energy, and entropy features. This graph exhibits a density of 0.503 and forms a single connected graph component. The density result indicates that 50.3% of all possible image pairs share a connection. The resulting graph forms a connected structure that incorporates information from all three views, yielding a more comprehensive clustering representation than any single view. The combined consensus graph establishes an interconnected structure that produces a representative clustering of Batik images.
Run-Level Comparison of Binary Swarm Optimizers for Gallstone Disease Feature Selection Jabesh Nehemiah Wijaya
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.v7i3.10978

Abstract

Gallstone disease prediction from non-imaging clinical variables can support early risk assessment, but redundant measurements may reduce model efficiency and complicate interpretation. This study compares five binary swarm optimizers for wrapper feature selection on the UCI Gallstone dataset: Golden Jackal Optimization (bGJO), Egret Swarm Optimization (bESOA), African Vultures Optimization (bAVOA), Tuna Swarm Optimization (bTSO), and FOX Optimization (bFOX). The main contribution of this study is a reproducible run-level statistical comparison of five binary swarm optimizers under an identical wrapper evaluation framework, providing evidence on their accuracy–parsimony and computational trade-offs for gallstone feature selection. The dataset contains 319 complete records, 38 predictors, and an approximately balanced binary outcome. Candidate subsets were evaluated with standardized five-nearest-neighbor classification and stratified 10-fold cross-validation. A weighted objective combined classification error (0.9) and selected-feature proportion (0.1). Each optimizer used 100 epochs, a population of 10, and 10 independent seeded runs. Run-level comparisons used Kruskal–Wallis tests followed by Holm-adjusted Mann–Whitney tests. bGJO achieved the highest mean accuracy (77.56%) with 13.0 features, whereas bAVOA obtained the best mean fitness (0.2270) with only 3.7 features. bTSO selected the fewest features (2.8) but showed greater variability, and bFOX produced the lowest accuracy (67.68%). Accuracy, fitness, feature count, runtime, and memory differed globally among algorithms (all p<0.001). The findings demonstrate a clear accuracy–parsimony trade-off: bGJO is preferable when predictive accuracy dominates, while bAVOA offers the strongest overall compromise under the specified objective. External validation and stability analysis of selected variables are required before clinical use.
Optimalisasi Manajemen Bandwidth Jaringan Hotspot Menggunakan Metode Network Development Life Cycle (NDLC) Jamaludin Jamaludin; Samin Samin; Ade Kurniawan; Imam Yunianto; Muhammad Zaenal Mutaqin; Rangga Bhagaskara
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.v7i4.9143

Abstract

In the digital era, internet connectivity is a vital element in supporting the learning process, especially in educational institutions that have different operational characteristics and resource limitations than industrial networks. This study examines the application of a bandwidth management system by utilizing the User Manager on the Mikrotik RB951 Hotspot Server network. The main goal of the research is to optimize bandwidth distribution so that internet access can be managed efficiently, support online learning needs and improve the quality of services in schools. The research method refers to the Network Development Life Cycle (NDLC) framework used to design, implement, and evaluate network solutions thoroughly, tailoring the system to the unique conditions and demands of the educational environment. This study succeeded in distributing bandwidth for administration staff a maximum of 5.5 Mbps per user, teachers a maximum of 1.3 Mbps per user and a maximum of 0.06 Mbps per user for students each. This is considered to have been able to provide practical strategies and innovative solutions for optimizing bandwidth management at test sites with a limit value that can be adjusted according to the capacity of providing available internet services, so as to increase the effectiveness of network use in educational institutions. Thus, these findings have the potential to open up opportunities for the development of digital infrastructure in the education sector and make a real contribution to efforts to improve the quality of learning in the digital era.
Peran Gender dalam Pengaruh Key Audit Matters terhadap Kualitas dan Fee Audit di Indonesia Tiara Rani Santoso; Hesiya May Ghaisani; Afif Musthafa; Ronia Tambunan
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.v7i3.9594

Abstract

This study aims to examine the effect of Key Audit Matters (KAM) on audit quality and audit fees and to investigate the moderating role of auditor gender. The implementation of KAM as part of audit reporting reform is expected to enhance transparency and the informational value of the auditor’s report, thereby reducing information asymmetry between management and stakeholders. This study employs a quantitative approach using purposive sampling and obtains 264 firm-year observations from publicly listed companies during the observation period. Data are analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test both direct and moderating relationships among variables. The results indicate that KAM has a positive and significant effect on both audit quality and audit fees. These findings suggest that more extensive and informative KAM disclosures reflect greater audit effort and more rigorous risk assessment in significant audit areas, which ultimately improves audit quality. In addition, the increased complexity and intensity of audit procedures associated with KAM disclosures lead to higher audit fees as an economic consequence of enhanced audit effort. The moderation analysis further reveals that female auditors strengthen the positive relationship between KAM and audit fees, indicating that higher levels of prudence and risk sensitivity contribute to more intensive audit procedures and higher audit pricing. However, auditor gender does not moderate the relationship between KAM and audit quality. This study provides empirical contributions to the literature on audit reporting effectiveness and highlights the role of auditor characteristics in shaping audit outcomes and their economic implications.
Prediksi Arus Hubung Singkat Menggunakan Model Regresi Struktural dan Evaluasi Dampaknya terhadap Rating Peralatan Gardu Induk 500 kV Bryan Bima Laksana; Tri Wahyudi Adi
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.v7i3.10466

Abstract

The development of power systems and the strengthening of transmission networks can increase short-circuit current levels, potentially reducing equipment safety margins when fault currents approach or exceed the rated breaking capacity. This study aims to identify the factors influencing short-circuit current variations, analyze the relationships among the relevant variables, predict short-circuit current development for the 2026–2030 period, and evaluate the adequacy of 500 kV substation equipment ratings. The proposed solution is an integrated approach that combines data-driven short-circuit current prediction with technical evaluation of equipment ratings, allowing potential increases in fault current levels to be identified before they exceed the interruption capability of installed equipment. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) using historical power system data from 2018–2025. The analytical procedure includes the development of the Generation, Network Configuration, System, and Short Circuit constructs, evaluation of the measurement model using outer loading, Composite Reliability, Average Variance Extracted (AVE), and discriminant validity, followed by structural model evaluation using path coefficients, bootstrapping, t-statistics, and p-values. The validated model is subsequently used to generate latent variable scores and project short-circuit current development through 2030. The results indicate that the System variable has a positive and statistically significant effect on Short Circuit, with a path coefficient of 0.173, t-statistic of 2.156, and p-value of 0.016, whereas the direct effects of Generation and Network Configuration on Short Circuit are not statistically significant. The projection results indicate an increasing trend in short-circuit current at several observation points. Further equipment assessment shows that 19 extra-high-voltage substations have predicted short-circuit current levels exceeding the breaking capacity of their installed equipment, indicating the need for further attention in equipment reinforcement and system reliability planning.
Sistem Pakar Diagnosis Penyakit Ayam Petelur Program Gayatri Menggunakan Certainty Factor dan Chatbot AI Berbasis Web Ahmad Fahmi Abdillah; Muhamad Rosdiana
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.v7i4.10796

Abstract

Limited access to information and expert assistance in identifying diseases in laying hens can hinder early diagnosis and disease management among farmers participating in the Gayatri Program in Bojonegoro Regency. This study aims to develop a web-based expert system to support the early diagnosis of diseases in laying hens using the Certainty Factor (CF) method and to provide an AI chatbot as an additional consultation medium. The developed system, TANGKAS, utilizes a knowledge base consisting of 7 diseases and 18 clinical symptoms. The CF method employs Measure of Belief (MB) and Measure of Disbelief (MD) values to determine the level of confidence in a disease based on symptoms provided by users. The system was developed using the Waterfall method and evaluated through Black Box Testing, White Box Testing, diagnostic accuracy testing, and User Acceptance Testing (UAT). Testing on 46 cases showed that 42 cases produced diagnoses consistent with the comparison results, resulting in an accuracy rate of 91.30%. UAT involving 30 respondents yielded an acceptance score of 82.53%, categorized as highly feasible. The contribution of this study lies in integrating CF as the diagnostic inference engine with an AI chatbot based on a Large Language Model as an additional consultation medium within a single web-based system to support early diagnosis and provide health information for laying hens in the Gayatri Program.
Sistem Rekomendasi Lowongan dan Pencarian Talent Alumni Menggunakan Content-Based Filtering dengan Weighted Feature Matching Muhammad Ihsan Nurulhuda
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.v7i3.10828

Abstract

The development of information technology encourages the need for systems that are capable of managing alumni data while supporting the utilization of such data for career development purposes. In IKATEKSI UII, alumni data management and membership services were previously not integrated into a single platform, resulting in limited utilization of alumni data for career information and talent searching needs. This study aims to develop a web-based alumni management and membership platform by implementing the Content-Based Filtering (CBF) method using the Weighted Feature Matching approach on job recommendation and Talent Search features. This study integrates alumni data management and membership services with an attribute-based matching mechanism using Content-Based Filtering and Weighted Feature Matching to support job vacancy recommendations and talent searches based on profile suitability. The system development method used is the Waterfall model, consisting of analysis, design, implementation, and testing stages. The system was developed using the Laravel framework with MySQL as the database. The results show that the developed platform successfully integrates alumni data management, membership services, and career development features based on profile attribute matching. The evaluation of the CBF method on the Talent Search feature achieved a Precision value of 1.000, Recall of 0.706, and F1-Score of 0.828. In addition, Black Box Testing results indicate that all main system functions operate according to the designed requirements.

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