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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
Core Subject : Economy, Health, Science, Education, Art, Social, Engineering,
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other
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 758 Documents
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SMOTE-Based Oversampling for Imbalanced Digital Fraud Risk Classification Ika Nur Laily Fitriana; Fonda Leviany; Kurnia Sari Kasmiarno; Mohammad Okky Mabruri
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.v6i11.9589

Abstract

Digital fraud risk among university students is an important issue, yet classification using survey-based indicators is complicated by class imbalance. This study examined whether Synthetic Minority Over Sampling Technique (SMOTE) improves Digital Fraud Risk classification among Universitas Terbuka students. This research used primary survey data from 498 respondents and modeled using five predictors representing financial literacy, digital financial literacy, monthly gross income, age, and job tenure. The evaluated models were Gaussian Naive Bayes, Random Forest, calibrated linear Support Vector Machine (SVM), Radial Basis Function SVM, and XGBoost. The performance of model was evaluated using confusion matrix, accuracy, balanced accuracy, precision, recall, F1 score, ROC-AUC, PR-AUC, MCC and Kappa. This research revealed that without oversampling, some models showed higher nominal accuracy but zero recall for High risk. It means that accuracy is insufficient for model selection under imbalance. In contrast, SMOTE increased recall for the High risk class across all models and improved PR AUC in several cases. The SMOTE based Random Forest achieved the highest test PR AUC (0.415), whereas the SMOTE based RBF SVM achieved the highest recall (0.659). Diagnostic analyses for the selected SMOTE based Random Forest provided evidence of non-random predictive signal, although overall discriminative performance remained moderate.
Klasifikasi Teks Komentar Penggunaan Listrik Gratis di Youtube Menggunakan Metode Naïve Bayes Mikho Alfatih Harahap; Abdul Halim Hasugian
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9731

Abstract

The growth of social media has made YouTube one of the platforms used by the public to express opinions regarding government policies, including the free electricity program. The large number of comments makes manual analysis difficult; therefore, a text classification method is needed to automatically categorize comments. This study aims to classify YouTube user comments related to the free electricity program using the Naïve Bayes algorithm. The research data were obtained through a crawling process from ten YouTube videos discussing the free electricity policy, resulting in 910 comments, which were reduced to 906 comments after data cleaning. The data processing stages included cleaning, case folding, tokenizing, normalization, stopword removal, stemming, and term weighting using TF-IDF. Furthermore, the data were classified into four categories: Public Discussion and Information, Policy Support and Appreciation, Complaints and Technical Issues, and Non-Electricity. Model evaluation was conducted using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results showed that the Naïve Bayes algorithm provided fairly good classification performance with an accuracy of 70.9%, precision of 0.62, recall of 0.80, and F1-score of 0.70. The Non-Electricity category achieved the best performance with precision of 0.77, recall of 0.90, and F1-score of 0.83. Based on these findings, the Naïve Bayes method is considered effective for classifying public opinion from social media comment data.
Implementasi Algoritma K-Means Clustering untuk Pengelompokan Produk E-Commerce Berdasarkan Harga, Diskon, dan Total Revenue Rinaldi Pasaribu; Saidi Ramadan Siregar
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9872

Abstract

The rapid growth of e-commerce has generated a large volume of transactional data; however, this data has not been fully utilized to support strategic decision-making, particularly in product segmentation. The main problem addressed in this study is the absence of a systematic product grouping approach based on key attributes such as price, discount, and revenue, which leads to less effective pricing and promotional strategies. Therefore, this study aims to analyze product sales patterns and cluster e-commerce products based on the characteristics of price, discount_percent, and total_revenue. The dataset used is an Amazon-style e-commerce dataset consisting of 50,000 transaction records and 13 attributes, with the analysis focusing on the three main attributes as the basis for clustering. The method applied in this research is K-Means Clustering, which involves data preprocessing, normalization using Min-Max Scaling, and determining the optimal number of clusters using the Elbow Method and Silhouette Score. The results indicate that the optimal number of clusters is three clusters, supported by the highest Silhouette Score of 0.354 and a clear elbow pattern in the Elbow graph. Additional evaluation using the Davies-Bouldin Index of 0.9335 indicates that the clustering quality is fairly good, although not yet optimal. The clustering results produce three main groups: premium product cluster (high price, low discount, high revenue), discount product cluster (moderate price, high discount, moderate revenue), and low-performance product cluster (low price, low discount, low revenue). In conclusion, the K-Means algorithm is capable of effectively clustering e-commerce products based on relevant numerical attributes and generating insights that can support business strategies such as pricing and promotional decisions.
Uji Aktivitas Antidiare Ekstrak Daun Srikaya (Annona squamosa L.) Pada Mencit Putih Jantan (Mus musculus) dengan Metode Transit Intestinal Evanisia More; Veronika U. Banggut; Yohanes D. P. A. Embu
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.v6i10.9438

Abstract

Diarrhea is a gastrointestinal disorder characterized by an abnormal increase in the frequency of bowel movements, more than three times a day, accompanied by a change in stool consistency to a more liquid state, with or without blood or mucus. Srikaya leaves (Annona squamosa L.) are one of the medicinal plants used as an antidiarrheal based on their secondary metabolite content. This study aims to determine the antidiarrheal activity of srikaya leaf extract (Annona squamosa L.) and to find the most optimal dose as an antidiarrheal by observing intestinal motility. The method used is the intestinal transit method, where the parameter observed is the length of the intestine passed by the marker compared to the total length of the intestine. A total of 25 male white mice were divided into 5 groups, each consisting of 5 mice, namely the negative control group given 0,5% Na-CMC, the positive control group given loperamide HCl, and test groups I, II, and III given srikaya leaf extract at doses of 200 mg/kgBW, 400 mg/kgBW, and 600 mg/kgBW, respectively. The data obtained were analyzed using One Way ANOVA. The results showed that srikaya leaf extract (Annona squamosa L.) had antidiarrheal activity with the most optimal dose being 600 mg/KgBW. The antimotility percentage was 54,76%.
Analisis Rancangan Model Interaksi Manusia dan Komputer Modern pada Sistem Evaluasi Kegunaan Berbasis Kecerdasan Buatan Menggunakan Metode Design Science Research dan Algoritma Pembelajaran Mesin Sofyan Nur Salim; Ire Puspa Wardhani
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.v6i10.9522

Abstract

The usability evaluation system at STMIK Jakarta STI&K is a digital learning platform, campus website, academic information system, or other supporting applications used in an efficient and satisfying campus environment for the academic community. Users here include students, lecturers, administrative staff, and parents. This usability evaluation helps identify problems that may hinder the lecture process or administration system, so that they can be fixed for a better experience. STMIK Jakarta STI&K currently relies heavily on the digital platform ecosystem, but crucial usability evaluations are still constrained by traditional management methods that are inefficient, subjective, and difficult to scale. This thesis research aims to overcome these limitations by designing a modern Human-Computer Interaction (HCI) model integrated with Artificial Intelligence (AI) Technology. Using the Design Science Research (DSR) paradigm, this thesis research validates the problems that exist at STMIK Jakarta STI&K through a preliminary survey and continues to the design stage of a conceptually evaluated model. The main result of this study is a conceptual model of a holistic usability evaluation system. The model to be built is a model in the form of computer architecture, functionality, algorithms, or interfaces. which integrates Machine Learning, Computer Vision, and Natural Language Processing capabilities for data analysis, by adopting the human-in-the-loop principle. The final results of this research will later provide new innovations for STMIK Jakarta STI&K which are smarter and more efficient, and contribute as a blueprint for development and theoretical foundation in the field of AI-based HCI.
Analisis Kepuasan dan Penggunaan Rekam Medis Elektronik Puskesmas Menggunakan Metode End User Computing Satisfaction dan Technology Acceptance Model Selvia Selvia; Dolly Indra; Herdianti Darwis
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9540

Abstract

Electronic medical records (EMR) are health information systems used to improve the efficiency of patient data management and the quality of healthcare services in healthcare facilities. However, several problems have been found, such as network disruptions or errors, double workloads, and suboptimal user satisfaction levels. This study aims to analyze the level of satisfaction and use of electronic medical records and to determine the relationship between satisfaction and system use at the Tamamaung Community Health Center in Makassar City and the Community Health Center Technical Implementation Unit (UPTD) in North Kolaka Regency. The study used a quantitative approach with a cross-sectional design. Respondents in this study were 55 healthcare workers who used EMR selected using a full sampling technique (Full Sampling). Satisfaction analysis was conducted using the End User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) methods. Analysis of the relationship between satisfaction and system use was conducted using the Spearman Rank Correlation test. The results showed that all EUCS and TAM variables were in the "High" category. The correlation test results showed a correlation coefficient of 0.463 with a significance value of 0.000 (p <0.05), which indicates a significant and very strong relationship between satisfaction and use of the EMR system. The conclusion of this study shows that the higher the level of satisfaction, the higher the level of use of the RME system.
Pengaruh Viskositas Viscose dan Temperatur Acid Bath terhadap Sifat Mekanis Serat Rayon Regenerasi Dicky Setiawan Tanjung; Yogi Wibisono Budhi
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9547

Abstract

Viscose rayon fiber is a regenerated cellulose fiber whose mechanical properties are strongly influenced by processing conditions during spinning and regeneration stages. This study aimed to analyze the effects of viscose solution viscosity and regeneration bath temperature on the tensile strength (tenacity) and elongation of rayon fibers, as well as to determine the operating conditions that provide the most stable fiber quality. The research employed a quantitative approach based on the analysis of historical operational data collected from an industrial plant over a one-year period. The data were selected under relatively constant process conditions to minimize the influence of confounding variables and were subsequently analyzed using ANOVA and descriptive statistical methods. Viscose viscosity was evaluated within a BF range of 35–69 seconds, while regeneration bath temperature was varied between 48–68 °C. The results demonstrated that both parameters significantly affected the mechanical properties of rayon fibers. Tenacity reached its optimum value at medium-low BF levels, whereas elongation increased at medium-high BF levels. Increasing regeneration bath temperature enhanced elongation; however, excessively high temperatures resulted in reduced tenacity. Based on the evaluation of average values and process stability using the coefficient of variation (CV), the optimum operating conditions were identified at a viscose viscosity of BF 50–54 seconds and a regeneration bath temperature of 60–64 °C. These findings indicate that integrated control of viscose viscosity and regeneration bath temperature plays a critical role in producing rayon fibers with consistent and stable mechanical properties.
Perancangan Sistem Smart Village Ecosystem Untuk Pelayanan dan UMKM Desa Menggunakan Metodologi Agile Scrum Muhammad Rakha Syamputra; Apriade Voutama
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9563

Abstract

The main problem in village management today lies not only in limited digitalization but also in the lack of integration of administrative and economic services. Villages play a strategic role in national development, yet most rural areas in Indonesia are constrained by structural barriers, such as unintegrated public administration, low transparency, and minimal digital technology adoption by Micro, Small, and Medium Enterprises (MSMEs). To address this, this research aims to design an integrated multi-platform Smart Village Ecosystem (SVE) prototype to accelerate village bureaucracy while stimulating local MSME market expansion. This software engineering research was conducted at PT Citiasia Internasional using the Agile Scrum methodology through eight iterative Sprints. System development was implemented using the Laravel framework for the Website and Admin Dashboard, Flutter for the Mobile Application, and MySQL as a database. The system's effectiveness was evaluated through Black-Box Testing, assessing the main features with 10 test scenarios. Results showed that all functions operated perfectly without failures, yielding a functionality score of X = 1, indicating maximum success. In conclusion, the SVE prototype successfully integrated bureaucratic services, community platforms, and digital marketplaces responsively, proving the system is ready for direct implementation in partner villages.
Pengembangan Aplikasi E-Commerce Mobile Produk Daur Ulang dengan Integrasi Jejak Transparansi Material Muhammad Rafly Dwi Gunawan; Apriade Voutama
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9564

Abstract

Urban waste management in Indonesia faces supply chain transparency challenges, where consumers of recycled products generally cannot verify the origin of materials claimed as recycled. Based on the literature review, existing recycled product e-commerce platforms remain predominantly web-based and have not integrated cross-actor material tracking mechanisms within a single mobile ecosystem. This study designed and implemented SitesCraft, a mobile e-commerce application for recycled products with a Material Transparency Trail feature. The main contribution of this research is the integration of a mechanism that links waste purchase receipts from suppliers with product material-origin information accessible to consumers. The case study was conducted in Bekasi City, considering its characteristics as a densely populated satellite city with high waste generation volumes. The system was developed using the Waterfall method with a Backend-as-a-Service architecture and tested through Blackbox Testing on 16 test scenarios and usability evaluation using the System Usability Scale (SUS) with 10 respondents. Functional testing results showed 15 out of 16 scenarios met specifications (93.75%), with one scenario related to offline condition handling identified as inadequate. The SUS score of 76.75 placed the system in the Acceptable category (Grade B), with per item analysis identifying weaknesses in initial learning load due to multi-role feature complexity. The main limitation of this study includes material trail validation that still relies on digital input without independent physical verification.
Rancang Bangun Sistem Informasi Manajemen Kost Menggunakan Metode Waterfall Berbasis Web Rizky Azhari Putra; Apriade Voutama
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9567

Abstract

This study aims to design a web-based boarding house management and booking information system using the Waterfall method to improve the efficiency of promotion, room search, booking records, and payment monitoring processes that were previously conducted manually. This study employed a software engineering approach, with data collected through observation, document review, and interviews with two students as prospective users. The Waterfall method was applied through requirement analysis, system design, process modeling, and interface prototype development. System modeling focused on Unified Modeling Language, including use case diagrams, activity diagrams, and class diagrams. The results show that the proposed system design produced 18 functional requirements and 11 nonfunctional requirements, with three main actors namely tenants, boarding house owners, and administrators. The core features include location-based boarding house search, room facility details, online booking, payment confirmation, tenant reviews, wishlist, and a boarding house data management dashboard for owners. The system design also produced interface prototypes for guests, tenants, administrators, and boarding house owners. These findings indicate that the proposed system can provide a foundation for developing a more efficient, transparent, and user-oriented boarding house application.

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