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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 613 Documents
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Inovasi Layanan Uji Kompetensi ASN Berbasis Digital Melalui Pendekatan Design Thinking dan Business Model Canvas Lubis, Ravendra Syahinda; Wardhana, Mahendra
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9115

Abstract

This study aims to develop an innovative competency assessment service for civil servants (Aparatur Sipil Negara/ASN) through the formulation of a new Business Model Canvas (BMC) based on a Design Thinking approach at the Competency Assessment Unit of the Regional Civil Service Agency (BKD) of East Java Province. The study is motivated by several tangible problems in the implementation of assessment services, including delays in the distribution of competency test results, limited access for ASN to detailed and transparent assessment information, and the low effectiveness of post-assessment feedback as a basis for competency development. Through the stages of empathize, define, ideate, prototype, and test, this research explores users’ actual needs by conducting in-depth interviews with UPT leaders, assessors, and ASN participants, developing empathy maps and user personas, and formulating core problems using the Point of View and How Might We approaches. The ideation process generates proposals for a more responsive service model, including the provision of a real-time digital dashboard, specific and structured feedback, the integration of post-assessment consultation sessions, and the strengthening of online service access. The study results in a redesigned BMC featuring a value proposition centered on transparency, digitalization, and continuous support, changes in service channels through interactive digital platforms, expanded customer relationships through mentoring and training, and updates to key resources and activities encompassing the development of a digital assessment information system and enhanced assessor capacity. Validation through Focus Group Discussions indicates that the proposed BMC is considered relevant and feasible for implementation, although it still requires adjustments to standard operating procedures, strengthening of human resource capacity, and support from digital infrastructure. Overall, this study demonstrates that the Design Thinking approach is effective in generating adaptive and user-centered public service business model innovations, contributing to bureaucratic transformation toward a more transparent, integrated, and responsive ASN competency assessment service.
Integrasi Kesehatan Mental Pelaut dalam Sistem Manajemen Keselamatan Kapal: Tantangan dan Peluang di Industri Pelayaran Gustian, Huske Dwi; Evri, Evri
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9357

Abstract

Seafarers’ mental health is increasingly recognized as a strategic determinant of maritime safety, as growing evidence indicates that psychosocial risks such as fatigue, chronic stress, violence, and harassment directly contribute to human error in ship operations. Although the International Maritime Organization (IMO), through Resolution MSC.560(108), has explicitly positioned mental health as an integral component of maritime safety, its integration into Ship Safety Management Systems (SMS) remains structurally and culturally constrained, particularly in developing countries. In these contexts, limited digital learning infrastructure, uneven compliance across shipping companies, institutional capacity gaps, and persistent cultural stigma surrounding mental health constitute tangible barriers to effective regulatory implementation at the operational level.This article aims to analyze the positioning of seafarers’ mental health within the SMS framework, identify context-specific integration challenges in developing countries, and explore strengthening mechanisms through training and Learning Management Systems (LMS). A qualitative policy-oriented narrative review was conducted, examining ISM Code (2018), MSC.560(108), MLC 2006, STCW Code, operational guidelines, and national maritime training modules.The findings reveal a persistent implementation gap between strengthened international norms and shipboard SMS practices, where mental health continues to be treated primarily as an individual welfare issue rather than a systemic safety risk. In developing-country settings, this gap is exacerbated by limited access to digital LMS platforms, normalization of fatigue within maritime culture, and underreporting driven by stigma and rigid hierarchical structures onboard. These findings substantiate the argument that integrating mental health into SMS requires a measurable paradigm shift from compliance-based safety toward psychosocial risk-based and human-centered safety embedded within hazard identification, reporting mechanisms, and safety audits. Theoretically, this article advances socio-technical maritime safety scholarship by structurally incorporating mental health into safety management discourse. Practically, it provides policy directions and implementation strategies for shipping companies, regulators, and maritime education institutions in developing countries seeking to strengthen sustainable safety.
Transformasi Model Bisnis dan Tantangan Ekosistem AI pada Startup Digital (2021–2026): Systematic Literature Review Putra, Andiky Vicky Handayana; Fitriani, Siska; Limoury, Younes; Suryono, Ryan Randy
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9239

Abstract

As the adoption of Artificial Intelligence (AI) by digital startups increases, the existing literature remains fragmented between technical and managerial perspectives, making it difficult to comprehensively understand the role of AI in digital entrepreneurship. This study aims to systematically synthesize how AI affects value creation, operational strategies, and adoption challenges in various ecosystem contexts. Using the SLR method based on Kitchenham's guidelines, this study conducted a comprehensive search of reputable academic databases, namely Scopus and ScienceDirect. Through a rigorous quality assessment process to ensure data validity, 21 high-quality primary studies published between 2021 and 2026 were selected. The review results show that AI not only functions as a tool for increasing efficiency, but also as a strategic capability that drives the transformation of startup business models from static product offerings to predictive and dynamic personalized services. In addition, the role of AI evolves throughout the startup life cycle, from cognitive support at the ideation stage to the main mechanism that supports non-linear growth in the development phase. The study also identifies differences in AI adoption challenges, where ethical and regulatory issues are more prominent in developed countries, while talent and infrastructure limitations are major obstacles in developing countries. This research emphasizes the importance of viewing AI as a supporting capability that strengthens, rather than replaces, the role of entrepreneurs in building sustainable competitive advantage.
Pendekatan Translasi Otomatis Catatan Medis Indonesia untuk Ekstraksi Informasi dan Pemetaan Medis berbasis cTAKES–UMLS Kasan, Iwan; Heryawan, Lukman; Qolina, Ellya; Aliyah, Aliyah
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9471

Abstract

Unstructured medical notes in SOAP format are crucial assets for clinical analysis; however, their automated processing in the Indonesian language remains a significant challenge due to limited support from global NLP technologies. This study evaluates the integration of Apache cTAKES and the Unified Medical Language System (UMLS) to extract medical information from Indonesian electronic health records. The primary obstacle lies in the cTAKES architecture, which is optimized for English, causing direct application to Indonesian texts to yield a very low detection rate (Recall) of only 17.9%. As a pragmatic solution to bridge this linguistic barrier, this research proposes a preprocessing pipeline based on automatic translation using the Google Translate API prior to the cTAKES extraction process. The evaluation was conducted on a dataset of 50 SOAP-format medical records identifying 840 medical entities. Experimental results demonstrate that the automatic translation approach significantly improves entity detection, achieving a Recall of 90.2% and an F1-Score of 93.4%. Despite challenges such as information loss from local medical abbreviations and translation ambiguities, this study proves that automatic translation serves as an effective transitional strategy in resource-limited environments. This approach not only supports clinical information extraction but also enables the automatic mapping of medical terminology to international standards such as ICD-10, SNOMED-CT, and RxNorm to foster national health data interoperability.
Pengembangan Augmented Reality Book Anatomi Manusia Untuk Meningkatkan Pemahaman Konsep Siswa Kelas V SD Saputra, I Ketut Tunas Alit; Subawa, I Gede Bendesa; Andayani, Made Susi Lissia
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9487

Abstract

This research is motivated by the abstract nature of human anatomy topics in the Science and Social Sciences (IPAS) subject for fifth-grade elementary school students, as well as the limitations of concrete and interactive visual media. The objective of this study is to develop and evaluate the feasibility of an Augmented Reality-based learning medium named OrgARn to provide concrete visualizations capable of enhancing students' conceptual understanding. This study employs a Research and Development (R&D) approach using the Multimedia Development Life Cycle (MDLC) model, which includes the stages of concept, design, material collecting, assembly, testing, and distribution. Testing involved 48 respondents using the User Experience Questionnaire (UEQ) instrument and black-box testing. The results of content and media expert validations indicated a “Very High” (Highly Valid) qualification, while the user experience evaluation (UEQ) placed all dimensions in the "Excellent" category (top 10% of products worldwide), with the highest average score of 2.932 obtained in the Dependability aspect. Practically, OrgARn provides a significant contribution compared to conventional media through real-time interaction features and 360-degree anatomical models that address the need for concrete visualization of biological systems in the classroom.
Pemetaan Pola Produktivitas Tanaman Pangan Menggunakan Data Warehouse dan K-Means Clustering Saputra, Fernando Adi; Santoso, Cahyono Budy
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9508

Abstract

The productivity of food crops between regions shows significant differences despite having large areas of planted and harvested areas. These inequalities reflect production patterns that are not yet well structured, which makes it difficult to analyze and make data-driven decisions. This research aims to evaluate the productivity of food crops using K-Means, based on planted area and harvest area and productivity, with the aim of overcoming irregular production patterns between regions and producing grouping patterns that are more systematic and easy to analyze. The method used is KDD (Knowledge Discovery in Database). Data obtained from the official https://jabar.bps.go.id/id and https://opendata.jabarprov.go.id/, website for the 2019-2022 period. The application of data warehouses with star schema yields a Tabel of productivity facts, and dimensions of years, crops and regions. Metric evaluation using the Davies-Bouldin Index showed good cluster quality information. This research resulted in the application of data warehouse, clustering using the K-Means algorithm with a Davies-Bouldin Index score of 0.419 with optimal k = 3, the amount of data in cluster 0 is 368 data, cluster 1 is 52 data, and cluster 2 is 12 data. To simplify interpretation and support data-driven decision making, business intelligence tools are used to display clustering results. The results of this research help provide strategic recommendations in increasing agricultural productivity of food crops in West Java through region-specific interventions.
Peran Kepemimpinan Publik pada Transformasi Sistem Perpajakan dan Dampaknya bagi Konsultan Pajak Eriyanti Eriyanti; Sinta Nurfatimah; Rakim Adiwijaya; Sylviana Murni; Antony Ludfi Arifin
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9311

Abstract

The transformation of tax administration through the use of digital technology is an essential part of fiscal bureaucratic reform aimed at improving efficiency, transparency, and taxpayer compliance, the success of which is strongly influenced by the role of public leadership. This study aims to analyze the role of public leadership in driving the transformation of the tax administration system through the implementation of the CoreTax Administration System and to examine its implications for changes in the functions, competencies, and work patterns of tax consultants. The study employs a qualitative method with a literature review and policy analysis approach by examining tax regulations, official government reports, and scientific publications related to tax reform and the digitalization of tax administration. The findings indicate that the implementation of the CoreTax Administration System, both conceptually and operationally, is capable of improving administrative efficiency, data management accuracy, and consistency in monitoring taxpayer compliance through automated system integration. The results further emphasize that visionary, adaptive, and responsive public leadership plays a strategic role in maintaining reform consistency, strengthening the regulatory framework, and ensuring transparent and accountable digital governance. This digital transformation has driven a shift in the role of tax consultants from conventional administrative functions toward data-driven strategic advisory services, policy interpretation, and digital compliance assistance. The study concludes that the success of tax administration reform is determined not only by the capacity of the fiscal bureaucracy but also by the ability of tax consultants to enhance technological competencies and adapt to the dynamics of the digital tax system, although this study remains limited to the early stage of implementation, thereby requiring further research to assess long-term impacts and taxpayer behavioral readiness.
Implementasi Metode Waterfall pada Perancangan Sistem Helpdesk Berbasis Mobile sebagai Media Pengaduan dan Monitoring Layanan One Gate Portal Afif Efendi; Joko Erwanto; Nurdin Suryana
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9346

Abstract

The development of information technology requires companies to provide responsive, transparent, and integrated services, particularly in managing customer complaints. PT Esa Parkir Indonesia, as a provider of one gate portal services for residential and office areas, still encounters issues in handling device malfunction reports submitted through conventional communication media such as telephone calls and instant messaging applications. These methods are considered ineffective due to the absence of centralized data recording, limited monitoring of work progress, and lack of transparency regarding technicians’ activities in the field. This study aims to design and implement a mobile-based helpdesk system as a complaint and monitoring platform for one gate portal services using the Waterfall method. The system enables clients to submit reports independently, monitor ticket status, and access detailed information about technicians’ work in real time. Additionally, the system incorporates location validation to ensure that technicians are present at the designated service area before closing a ticket, thereby minimizing report manipulation. The system development utilizes CodeIgniter 3 as the backend framework and Flutter for mobile application development. The results indicate that the proposed helpdesk system improves the effectiveness of complaint management, enhances control over technician performance, and increases transparency and client satisfaction with the provided services.
Clinical Review of Safety and Outcomes in Minimally Invasive Thyroid Surgery Rudi Haris Munandar
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9388

Abstract

Thyroid cancer is one of the most common endocrine malignancies, with surgery remaining the cornerstone of its management. Conventional open thyroidectomy, although oncologically effective, is often associated with postoperative morbidity, prolonged recovery, and cosmetic concerns. These limitations have driven the development of minimally invasive thyroid surgery (MITS) as an alternative approach. This study aims to clinically review the safety, effectiveness, and postoperative outcomes of MITS in the management of thyroid cancer. A clinical review was conducted by analyzing relevant peer reviewed studies published in international databases, focusing on surgical safety, oncological effectiveness, and postoperative recovery outcomes. The results indicate that MITS demonstrates a safety profile comparable to open thyroidectomy, with no significant increase in major complications such as hypoparathyroidism or recurrent laryngeal nerve injury. Oncological outcomes, including tumor control and recurrence rates, were equivalent in selected low to intermediate risk patients. Moreover, MITS consistently showed superior postoperative outcomes, including reduced pain, shorter hospital stays, faster recovery, and higher cosmetic satisfaction. These findings support MITS as a safe and effective surgical option within patient centered thyroid cancer management.
Deteksi Berita Hoax Berbahasa Indonesia Menggunakan Multilingual-BERT pada Media Berita Online Tarissa, Syalma; Akbar, Muhamad; Martadinata, A. Taqwa; Karman, Joni
TIN: Terapan Informatika Nusantara Vol 6 No 11 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i11.9351

Abstract

The development of infoormation technology is increasing, which can trigger the spread of hoaxes in online newss media, resulting in misinformation for the public. Manual detection of hoaxes is difficult due to the large volume of online news and variety of language styles and mixed language usage. Advances in artificial intelligence technology, particularly Natural Language Processing (NLP), open up significant opportunities for automatically detecting hoax news. Transformer-based NLP models, such as Multilingual-BERT (mBERT), are emerging. Transformer-based models such as Multilngual-BERT (mBERT) are capable of understanding text context in both directions and support various languages, including Indonesian. Therefore, this study aims to apply and test the effectiveness of mBERT in detecting hoax news in online news media. The dataset used comes from TurnbackHoax on the Kaggle website for hoax news, Tempo and CNN Indonesia for non-hoax news datasets, and additional data from the Kaggle website on news coverage in 2025. The data was processed using the built-in mBERT Tokenizer with data undersampling techniques, resulting in a model with an accuracy of 0.97, a precision value of 0.96, a recall of 0.97, and F1-score of 0.97,which shows that the mBERT approach is able to provide high classification performance on the Indonesian language hoax news dataset.

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