cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
tin.journal@fkpt.org
Editorial Address
Jalan Sisingamangaraja No. 338, Medan, Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
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 582 Documents
 48   49   50   51   52 
Implementasi Model Smart Distance Based Pricing pada Aplikasi Pesan Antar Makanan Widiardiansyah, Azzahid Sidiq Nur; Asriningtias, Yuli
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8656

Abstract

Advances in digital technology have changed the way people carry out their daily activities, including ordering and enjoying food. This trend opens up great opportunities for local business actors to adapt through application-based service innovation. Deliboy Delivery Boyolali is a local startup developed to make it easier for people to order food online, as well as support the transformation of delivery services in the Boyolali area. So far, Deliboy's ordering system still depends on the website platform connected to WhatsApp. Although practical, this method often causes obstacles such as improper data recording, time-consuming manual processes, and limitations in determining delivery prices according to distance. Based on this problem, this research offers a solution through the development of an android-based mobile application that integrates three main roles, namely admin, customer, and driver. System development is carried out using the Software Development Life Cycle (SDLC) method through the stages of needs analysis, design, implementation, and testing. The application is developed with the Flutter framework for the user interface, Laravel as the backend server, and MySQL as the database. The testing process applies the Black Box Testing method to ensure the suitability of the functions with the system specifications. The test results showed that all key features, including food ordering, location tracking, digital payments, and a distance-based dynamic pricing system, were working optimally. The implementation of this system has been proven to improve the accuracy of cost calculations, and make it easier for drivers to determine delivery rates automatically based on distance, thus creating a more transparent, effective, and easy-to-use system.
Aplikasi Inventory dengan Visualisasi Penjualan Berbasis Outflow Stok pada Toko Ritel Dzulfikar, Muhamad Althaf Atsaqif; Asriningtias, Yuli
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8659

Abstract

Inventory management in retail stores often faces constraints regarding recording accuracy, restocking delays, and difficulties in preparing reports when processes are still carried out manually. This research designs and implements a mobile-based inventory application in a Retail Store case study to handle login–register authentication, mapping of item storage locations, management of categories and item data, recording of in-out transactions (not POS/cashier), sales visualization based on item outflow in bar diagrams, and periodic reports of incoming and outgoing goods. The development methodology applied is Black-box Functional Testing on core scenarios. Black-box functional testing on 9 core scenarios achieved a 100% success rate, covering login–registration, master data management, incoming–outgoing transactions, stock-outflow visualization, and report export. The system architecture adopts Flutter on the client side, Node.js–Express on the service side, and MySQL on the database side. The development methodology is iterative, covering requirements elicitation, data model design with ERD and process flow with DFD, module implementation, and black-box functional testing on core scenarios. The implementation results demonstrate that all modules operate according to specifications: transactions automatically update stock, visualization highlights best-selling products through stock outflow indicators, and period reports support restocking decisions. These findings affirm that the application successfully enhances operational efficiency and employee productivity due to faster and easier recording, mitigates the risk of item data loss, and provides accurate analysis regarding stock outflow that aids in predicting and optimizing restocking policies.
Prediksi Kelulusan Mahasiswa Menggunakan Algoritma Decision Tree C4.5 Berbasis Data Akademik dengan Validasi 10-Fold Nurhasanah, Nurhasanah; Setiyawan, Risky Dwi; Hermawan, Doni; Herdiyanto, Oki
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8662

Abstract

Predicting student graduation outcomes is an important indicator for evaluating academic quality and the effectiveness of learning processes in higher education. This study aims to analyze and predict student graduation status based on academic data using the C4.5 Decision Tree algorithm. The dataset consists of 100 students from the Informatics Study Program at Universitas Pamulang, with five main attributes: Grade Point Average (GPA), attendance percentage, assignment scores, midterm examination scores, and final examination scores. The research stages include data cleaning, data transformation, model construction, and model evaluation using the 10-fold cross-validation technique to ensure performance stability. The experimental results show an accuracy of 88.74%, precision of 91.79%, recall of 95.34%, and an AUC value of 0.94, indicating that the model demonstrates strong discriminatory ability in classifying graduation outcomes. GPA and final examination scores were identified as the most influential attributes in determining graduation predictions. The resulting predictive model is expected to serve as a foundation for developing an early warning system that enables universities to identify at-risk students and support data-driven decision-making to improve educational quality.
Perancangan Aplikasi Pelaporan Tempat Sampah Liar dengan Integrasi Peta Interaktif Menggunakan Metode Rapid Application Development Affan, M Zafid; Handayani, Irma
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8693

Abstract

This study discusses the design of a digital application for reporting illegal waste disposal sites with interactive map integration as a solution to urban waste management issues. Before the implementation of the digital system, reporting was conducted manually, where citizens had to upload photos of illegal waste sites to the Google Drive managed by the Environmental Agency (DLH), and admins verified each report individually while coordinating with field officers manually. This process caused delays in follow-up actions, duplicate reports, and lacked a structured database of illegal waste locations. The system was developed using the Rapid Application Development (RAD) methodology, which allows iterative and flexible processes based on user needs. Data were collected through interviews with DLH officials and field observations to map the reporting workflow of illegal waste disposal sites. The system consists of two platforms: a mobile application for citizens (reporters) and field officers, and a web dashboard for DLH admins. The mobile application for citizens allows reporting illegal waste sites with photos, descriptions, and coordinates through OpenStreetMap integration. The mobile application for field officers receives tasks from admins and monitors the handling status in real-time. The web dashboard enables admins to verify reports, assign tasks to officers, and monitor the overall handling process in real-time. Black Box Testing showed that all main features, such as user authentication, report submission, admin verification, task assignment, and submission of completion proof, functioned according to system requirements. Limited testing indicated that the implementation of the system increased reporting efficiency by 62.5% and strengthened the transparency of the reporting process. Thus, the system is considered effective in facilitating citizens to report illegal waste locations and enabling admins to monitor and follow up reports in real-time.
Deteksi Serangan DDoS (Distributed Denial of Service) Menggunakan Wavelet Decomposition dan Optimasi Hyperparameter Berbasis Optuna Ghibran, Andi Khalil; Mustikasari, Mustikasari; Darmatasia, Darmatasia; Antamil, Antamil
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8706

Abstract

This study aims to design and develop a Distributed Denial of Service (DDoS) attack detection system based on Wavelet Decomposition capable of identifying network traffic anomalies in real-time. The main problem addressed is the high false positive rate in conventional detection methods, which often fail to distinguish between legitimate traffic bursts and actual attacks. Two primary data sources were used: the CICIDS2017 dataset and self-generated data representing controlled DDoS attack patterns. The proposed method applies Discrete Wavelet Transform (DWT) to decompose network traffic signals into amplitude and energy components. Detection is then performed using the Median Absolute Deviation (MAD) approach, optimized with three parameter search methods: Grid Search, Random Search, and Optuna. Experimental results indicate that the energy-based method with Optuna optimization achieves the best performance, with an accuracy of 98.6% on the CICIDS2017 dataset and 99.4% on the self-generated data, and error rates of 1.4% and 0.6%, respectively. This research contributes to enhancing the accuracy of DDoS detection systems with low computational overhead, making it suitable for large-scale network environments.
Analisis Performa Metode KNN, Yolov8, Dan Yolov11 Pada Klasifikasi Konjungtiva Mata Untuk Deteksi Anemia Sumihar, Yoel Pieter; Maedjaja, Febe; Sas, Valentino Henry
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8707

Abstract

Rapid and non-invasive anemia detection is crucial, especially in regions with limited laboratory facilities. The conjunctiva of the eye serves as a promising visual indicator for anemia through the analysis of color and texture. This study aims to analyze and compare the performance of three image classification methods K-Nearest Neighbors (KNN), YOLOv8, and YOLOv11 in detecting anemia using conjunctival images. The CP-AnemiC dataset was employed, consisting of 710 original images, later expanded to 3,550 images through augmentation. KNN utilized color features extracted from the CIE LAB color space, while YOLOv8 and YOLOv11 leveraged automatic feature extraction using convolutional neural networks. Evaluation metrics included accuracy, precision, recall, and F1-score. The results indicate that YOLOv8 achieved the best performance with 93.4% accuracy and a 94.5% F1-score, followed by YOLOv11 with 93.0% accuracy and a 94.2% F1-score. In contrast, KNN obtained an accuracy of only 85.7%. YOLOv8 demonstrated fast and accurate detection, while YOLOv11 exhibited more stable training behavior. These findings highlight that deep learning models particularly YOLOv8 and YOLOv11 are highly promising for implementing efficient, accurate, and practical conjunctival image–based anemia detection systems. This research contributes by presenting an explicit comparative analysis between the classical method (KNN) and the latest deep learning models (YOLOv8 and YOLOv11) in the specific context of conjunctival image classification.
Pengaruh Coretax dan Sanksi Perpajakan terhadap Kepatuhan Pajak pada Credit Union dimoderasi Sistem Pengendalian Manajemen Roziana, Roziana; Risal, Risal; Afif, Ali
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8721

Abstract

The main source of state revenue is taxes, but corporate taxpayers' compliance with Credit Unions (CU) of Puskopcuina members is still low. This study analyzes the influence of Coretax implementation and tax sanctions on compliance, with the Management Control System (SPM) as moderation. The study used a quantitative approach involving 47 respondents, where data was collected through questionnaires and analyzed using SPSS 26 through data quality tests, classical assumption tests, descriptive analysis, and hypothesis tests. The results showed that the implementation of Coretax had no significant effect on compliance (coefficient of 0.034; significance of 0.839), while tax sanctions had a significant positive effect (coefficient of 0.284; significance of 0.047). SPM weakened the influence of Coretax (coefficient of -0.149; significance 0.020) and strengthened the influence of tax sanctions (coefficient of 0.149; significance 0.009). Thus, tax sanctions play an important role in encouraging increased compliance of corporate taxpayers, while the effectiveness of Coretax is highly dependent on MCS support.
Penerapan Laundry Management System Web-Mobile Menggunakan Metode Waterfall dengan Evaluasi TAM dan Blackbox Testing Pangesty, Shandika Sayyid Ammar; Wibowo, Adityo Permana
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8731

Abstract

The main problems faced by Mulia Laundry stem from business processes that are still carried out manually, including service recording, inventory management, and customer transactions. This situation reduces operational efficiency, increases the possibility of recording errors, and hinders service speed. Therefore, the purpose of this study is to develop and implement a web- mobile based Laundry Management System that can automate the entire laundry business process to be more efficient, accurate, and integrated. The system is designed using a client-server architecture through REST API, with a structured software engineering approach through Unified Modeling Language (UML) modeling and using the Waterfall model Software Development Life Cycle (SDLC) development method. The main features of this system include customer management, services, inventory, transactions, and real-time order status tracking. The system was evaluated using Blackbox Testing, which showed that all features operated according to specifications without any errors in the main application processes. In addition, user acceptance testing using the Technology Acceptance Model (TAM) obtained an average perceived usefulness (PU) score of 4.67 and a perceived ease of use (PEOU) score of 4.47, both of which are in the excellent category. The results of this study indicate that the system is well accepted by users and can prove its effectiveness in improving operational efficiency and supporting the digitization of business processes in laundry MSMEs.
Otomatisasi Pencatatan dan Kepatuhan Regulasi Terhadap Keberlanjutan UMKM Pengendalian Internal Sebagai Moderasi Imanuel, Rizky; Risal, Risal; Afif, Ali
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8734

Abstract

Given their large number and contribution to the country's GDP, micro, small, and medium enterprises (MSMEs) play a significant role in the Indonesian economy. However, corporate sustainability presents challenges for business actors, particularly related to the implementation of internal controls, automation of recording, and regulatory compliance. This study uses a quantitative approach by utilizing primary data as a data source. This study uses a purposive sampling method to select MSME respondents. The data analysis process uses SPSS version 26. Data analysis is carried out through descriptive statistics, data quality tests for validity and reliability, classical assumption tests, multiple linear regression, and moderated regression analysis (MRA) with the help of SPSS version 26. Data were collected through questionnaires, and 89 returned questionnaires were declared eligible and represent all research respondents. From the analysis results, simultaneously recording automation, regulatory compliance is proven to have an effect on the sustainability of MSMEs, internal control is not proven to moderate the relationship between the two variables, partially recording automation is proven to affect the sustainability of MSMEs shown by a value of 0.016 <0.05, and regulatory compliance is proven to affect the sustainability of MSMEs shown by a value of 0.02 <0.05, while internal control does not moderate the relationship between recording automation with a value of 0.721>0.05, regulatory compliance 0.731>0.05. The implications of these findings indicate the importance of awareness of business actors in implementing effective internal control in running their businesses.
Penerapan Teknologi QR Code untuk Meningkatkan Efisiensi Absensi Karyawan Berbasis Android Kastella, Thufail Bintang; Ujianto, Erik Iman Heri
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8735

Abstract

PT. Harta Samudera Ambon faces several challenges in managing employee attendance due to the continued use of manual methods such as signatures and paper-based records. This conventional system creates a number of issues, including a high potential for proxy attendance, frequent recording errors, delayed data recap, and the inability to monitor employee presence accurately and in real time. These shortcomings negatively impact the effectiveness of administrative operations and the reliability of attendance data required for performance evaluation. To address these problems, this study develops an Android-based attendance system using QR Code technology, which enables automatic, accurate, and instant recording through a scanning mechanism. The system also incorporates additional features such as employee data management, work schedule configuration, attendance history tracking, and digital leave submission. The research methodology consists of requirement analysis, system architecture design, application implementation, and system evaluation using Black Box Testing to validate functional performance. The results indicate that the system significantly improves the speed of the attendance process, reduces recording errors by more than 85%, and eliminates the possibility of proxy attendance. Furthermore, the integrated admin dashboard simplifies centralized monitoring and management of attendance data. Despite these positive outcomes, the system still relies on internet connectivity and lacks advanced security features. Future enhancements may include GPS integration, dynamic QR Code encryption, and automated analytics reporting.

Page 50 of 59 | Total Record : 582

 48   49   50   51   52 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol 6 No 9 (2026): February 2026 Vol 6 No 8 (2026): January 2026 Vol 5 No 12 (2025): May 2025 Vol 5 No 11 (2025): April 2025 Vol 5 No 10 (2025): March 2025 Vol 6 No 7 (2025): December 2025 Vol 6 No 6 (2025): November 2025 Vol 6 No 5 (2025): October 2025 Vol 6 No 4 (2025): September 2025 Vol 6 No 3 (2025): August 2025 Vol 6 No 2 (2025): July 2025 Vol 6 No 1 (2025): June 2025 Vol 5 No 9 (2025): February 2025 Vol 5 No 8 (2025): January 2025 Vol 4 No 12 (2024): May 2024 Vol 4 No 11 (2024): April 2024 Vol 4 No 10 (2024): March 2024 Vol 5 No 7 (2024): December 2024 Vol 5 No 6 (2024): November 2024 Vol 5 No 5 (2024): October 2024 Vol 5 No 4 (2024): September 2024 Vol 5 No 3 (2024): August 2024 Vol 5 No 2 (2024): July 2024 Vol 5 No 1 (2024): June 2024 Vol 4 No 9 (2024): February 2024 Vol 4 No 8 (2024): January 2023 Vol 3 No 12 (2023): May 2023 Vol 3 No 11 (2023): April 2023 Vol 3 No 10 (2023): March 2023 Vol 4 No 7 (2023): December 2023 Vol 4 No 6 (2023): November 2023 Vol 4 No 5 (2023): October 2023 Vol 4 No 4 (2023): September 2023 Vol 4 No 3 (2023): August 2023 Vol 4 No 2 (2023): July 2023 Vol 4 No 1 (2023): June 2023 Vol 3 No 9 (2023): February 2023 Vol 3 No 8 (2023): January 2023 Vol 2 No 10 (2022): Maret 2022 Vol 3 No 7 (2022): December 2022 Vol 3 No 6 (2022): November 2022 Vol 3 No 5 (2022): October 2022 Vol 3 No 4 (2022): September 2022 Vol 3 No 3 (2022): August 2022 Vol 3 No 2 (2022): July 2022 Vol 3 No 1 (2022): June 2022 Vol 2 No 9 (2022): Februari 2022 Vol 2 No 8 (2022): Januari 2022 Vol 1 No 12 (2021): Mei 2021 Vol 1 No 11 (2021): April 2021 Vol 1 No 10 (2021): Maret 2021 Vol 2 No 7 (2021): Desember 2021 Vol 2 No 6 (2021): November 2021 Vol 2 No 5 (2021): Oktober 2021 Vol 2 No 4 (2021): September 2021 Vol 2 No 3 (2021): Agustus 2021 (in press) Vol 2 No 3 (2021): Agustus 2021 Vol 2 No 2 (2021): Juli 2021 Vol 2 No 1 (2021): Juni 2021 Vol 1 No 9 (2021): Februari 2021 Vol 1 No 8 (2020): Januari 2021 Vol 1 No 7 (2020): Desember 2020 Vol 1 No 6 (2020): November 2020 Vol 1 No 5 (2020): Oktober 2020 Vol 1 No 4 (2020): TIN: September 2020 Vol 1 No 3 (2020): TIN: Agustus 2020 Vol 1 No 2 (2020): TIN: Juli 2020 Vol 1 No 1 (2020): Juni 2020 More Issue