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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
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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 785 Documents
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Pengaruh Literasi Keuangan dan Gaya Hidup Terhadap Perilaku Konsumtif Mahasiswa Alya Dara Pratiwi; Muh. Syahrul Fajri; Muhammad Ilham; Baharuddin Baharuddin; Nur Yuliany
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.v7i3.10092

Abstract

Students’ consumerist behavior remains a problem influenced by low financial literacy and a lifestyle that tends to follow trends. This study aims to determine the influence of financial literacy and lifestyle on the consumerist behavior of students at Alauddin State Islamic University in Makassar. This study employs a quantitative approach using a causal-associative research design. Data were collected through a questionnaire distributed via Google Forms to 32 students selected using purposive sampling. The research instrument used a Likert scale and was analyzed using multiple linear regression with the assistance of the SPSS application. The results indicate that, simultaneously, financial literacy and lifestyle significantly influence students’ consumption behavior, with a significance value of 0.002 < 0.05 and a calculated F-value of 7.647. The coefficient of determination of 0.345 indicates that financial literacy and lifestyle can explain 34.5% of consumptive behavior, while the remainder is influenced by other factors outside the scope of this study. Partially, financial literacy has a significant effect on consumptive behavior, whereas lifestyle does not have a significant effect.
Data-Driven Business Process Improvement untuk Mendukung Optimasi Proses Bisnis pada UMKM Menggunakan Process Mining Novia Andini; Haerul Haerul
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.v7i3.10188

Abstract

In this digital era, technology has become an essential requirement for Micro, Small, and Medium Enterprises (MSMEs) to support business competitiveness. However, limitations in information systems often result in data being stored in non-standardized spreadsheet formats, causing the data to remain "dirty" and unprepared for process analysis. This poses a significant technical challenge in transforming raw data into valid event logs, particularly regarding timestamp synchronization, accurate Case ID mapping from manual records, and process flow adjustments. Many MSMEs still lack such standardization and rely on conventional approaches to Business Process Improvement (BPI), where decision-making is based on subjective and less accurate interviews or observations. Therefore, this study aims to develop a data-driven BPI approach by incorporating process mining to assist in the optimization of MSME business processes. The methodology of this research includes collecting MSME business process activity data in the form of digital event logs using spreadsheets, analyzing data and processes through mining techniques, identifying bottlenecks and inefficiencies, and designing business process improvements. The data used consists of operational activity records from a traditional herbal medicine (Jamu) MSME in Cimahi, which has been simply digitized using spreadsheets. The novelty of this research lies in the application of data-driven process mining for BPI using MSME spreadsheet event logs. The results of this study, processed from 6,225 events and 1,027 cases, reveal two process variants: a normal variant (93.87%) with an average duration of 5 hours 6 minutes, and a variant involving rework (6.13%) with an average duration of 6 hours 41 minutes. Performance analysis identified bottlenecks in the transition from Production to Packaging (1 hour 55 minutes) and from Shipping to Completed Order (1 hour 53 minutes). A new process model is proposed to eliminate "Rework," which is projected to reduce the overall average duration to 4 hours 42 minutes. The contribution of this research is the development of a data-driven BPI approach based on process mining that can be applied to MSMEs with limited information systems through the utilization of spreadsheet-based event logs. This approach enables the identification of process variations and bottlenecks based on actual operational data and provides a measurable basis for designing improved business processes. The results of the study indicate that this approach can be used to support business process optimization in MSMEs without relying on complex information systems.
Analitik Prediktif Terintegrasi: Regresi Linear Berganda untuk Keputusan Pembelian dan MA-3 untuk Peramalan Pendapatan Novita Sambo Layuk; Asrul Syam; Samsu Alam; Santi Santi
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.v7i3.10196

Abstract

This study integrates purchase-decision analysis and short-term revenue forecasting to support data-driven management at the Thrift Store. The population consisted of 1,536 customers; the minimum sample size calculated using Slovin’s formula at a 10% margin of error was 94, while 100 respondents were analyzed. Questionnaire data were examined using Multiple Linear Regression, and monthly revenue data from July to December 2025 were analyzed using a 3-Month Moving Average (MA-3). All questionnaire items were valid (rhitung=0.7590–0.8569 > rtable=0.1966) and reliable (Cronbach’s Alpha=0.855–0.890). The residuals were normally distributed (Asymp. Sig.=0.605), multicollinearity was not detected (VIF=2.0460–2.5422), and the Durbin-Watson statistic was 2.002; however, the Glejser test indicated heteroscedasticity for price (p=0.001), so conventional inference for this predictor should be interpreted cautiously. OLS estimates showed positive coefficients for product quality (β=0.1998; p=0.0146), price (β =0.2255; p=0.0044), and service (β =0.4740; p<0.001), while the overall model was significant (F=61.084; p<0.001; R²=0.656). Service had the strongest bivariate correlation with purchase decisions (r=0.742). MA-3 produced a January 2026 revenue forecast of IDR 41,464,733, with a historical Mean Absolute Deviation (MAD) of IDR 18,522,744, indicating substantial forecast uncertainty. The contribution of this study lies in integrating cross-sectional analysis using Multiple Linear Regression and time-series analysis using MA-3 within a unified data-driven decision-making framework that combines perspectives on consumer behavior and revenue dynamics. Managerially, service improvement and transparent product information should be prioritized, while MA-3 is more appropriate as an early monitoring tool than as a high-precision forecasting model.
Analisis Dampak Route Summarization Terhadap Performa OSPF Multi-Area Menggunakan GNS3 MikroTik Muhammad Ilfan Asykuri; Zainal Arifin; Mochammad Faid
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.v7i3.10209

Abstract

Open Shortest Path First (OSPF) multi-area networks at medium to large scales face the problem of Link State Database (LSDB) bloat caused by uncontrolled Link State Advertisement (LSA) propagation, particularly when each subnet is individually advertised by the Area Border Router (ABR) across all network areas. This condition increases memory consumption, the computational load of the Shortest Path First (SPF) algorithm, and routing convergence delays. This study aims to quantitatively analyze the impact of applying route summarization on the ABR regarding the number of LSAs per type, LSDB size, routing table entries, convergence time, and CPU and memory utilization of MikroTik RouterOS CHR devices in an OSPF multi-area environment. The method employed is quantitative experimental with two controlled scenarios: without route summarization as a baseline and with route summarization on the ABR as the treatment condition. The topology was built on the GNS3 simulation platform using 12 MikroTik CHR routers distributed across three areas with 24 active subnets and 1,000 dummy prefixes. Results show that route summarization reduced Type-3 LSAs by 99.71%, decreased LSDB size by 99.32%, reduced routing table entries by 99.22%, lowered peak ABR CPU usage from 11.33% to 8.33%, and achieved perfect fault isolation on the Area 0 control plane with an average convergence time of 0.2 ms compared to 1,023 ms in the baseline condition. This study contributes practical guidelines for network administrators to optimize router memory utilization and accelerate convergence in multi-area network architectures.
Early Warning System (EWS) Kualitas Air Hidroponik Melon Berbasis IoT dan Sensor pH - TDS - Suhu Lilis Kurlina; Amalia Herlina; Zainal Arifin
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.v7i3.10231

Abstract

Dependence on handheld instruments in managing hydroponic melon cultivation at Tanjung Farm is a major constraint, as it is unable to detect changes in water conditions rapidly and continuously, thereby increasing the risk of crop failure due to delayed intervention. This study aims to develop an IoT (Internet of Things)-based nutrient solution quality monitoring system capable of measuring four water parameters in real-time, namely pH (potential of Hydrogen), TDS (Total Dissolved Solids), turbidity, and temperature, equipped with an automatic Early Warning System (EWS). The study adopted a Mixed Methods design with a prototype development approach conducted at Tanjung Farm during 2025–2026, involving 2 respondents consisting of the farm supervisor and farm manager as system end-users. The system was constructed using an ESP32 microcontroller as the central processing unit, four water quality sensor modules, a MySQL database for data archiving, and a web interface developed using the Laravel framework. Performance evaluation revealed that the pH sensor and DS18B20 temperature sensor achieved high precision with a 0% error rate compared to handheld measuring instruments, while the TDS sensor produced a 26.7% error attributed to the absence of a hardware temperature compensation module. Average data transmission latency from the microcontroller to the server was recorded at 5 seconds with EWS notification updates every 30 seconds. The resulting system successfully shifted conventional monitoring patterns toward an integrated digital solution operable remotely to maintain the productivity stability of hydroponic melon cultivation.
Pengembangan Sistem Informasi dan Monitoring Inventaris Berbasis Mobile untuk Meningkatkan Efektivitas Pengelolaan Aset Refandi Asiking; Antonius P.G. Manginsela; Harson Kapoh
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.v7i3.10248

Abstract

Advances in information technology are driving companies to implement digital systems for inventory management and asset monitoring. PT PLN Nusa Daya’s Sulawesi 1 Operational Unit in Tikala still relies on manual processes, which result in reporting delays, recording errors, and limitations in monitoring the condition and location of assets. This study aims to develop a mobile-based inventory information and monitoring system (SI-INVADA) using Flutter to improve the effectiveness of asset management. The method used is the Agile approach with a simplified Scrum framework, including the creation of a product backlog, the execution of sprints, and sprint reviews. Data collection techniques were conducted through observation, documentation, and literature review. System testing utilized Black Box Testing to ensure functional compliance and the System Usability Scale (SUS) to evaluate usability. The results showed that all system functions operated as required, with a 100% success rate in Black Box Testing and an average system response time of 1.37 seconds. The SUS evaluation yielded an average score of 86.7, which falls into the “Acceptable” category, with an “Excellent” rating and a grade of B. The system provides features for inventory management, monitoring of asset condition and location, maintenance history, and an integrated reporting dashboard. Thus, SI-INVADA has met functional and usability requirements and provided a solution to the challenges of manual asset management in terms of record-keeping, information retrieval, and report generation.
IoT-Based Voice Communication Control System for ATC Radar Simulator Support Ayub Wimatra; Sunardi Sunardi; Julfansyah Margolang; Catra Indra Cahyadi
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.v7i3.10300

Abstract

The Voice Communication Control System (VCCS) used in the Air Traffic Control (ATC) Radar Simulator plays an essential role in supporting communication between ATC trainees and pseudo pilots during simulation-based training. However, the existing proprietary VCCS faces obsolescence issues, limited component availability, and high maintenance costs, creating challenges for long-term operational sustainability. This study proposes an Internet of Things (IoT)-based VCCS prototype as an alternative communication control solution using embedded wireless control and Android-based human-machine interfaces. The system was developed using a prototype-based approach consisting of requirements identification, conceptual architecture design, implementation, and iterative testing. Functional testing was conducted to evaluate core communication control features, followed by reliability and performance evaluation through 100 operational testing cycles. The results show that the developed prototype successfully fulfilled all primary functional requirements, including wireless connectivity, channel switching, push-to-talk control, digital volume adjustment, and voice communication. Reliability testing demonstrated an operational reliability of 96%, while cost analysis showed a cost efficiency of 91.05% compared to conventional proprietary VCCS systems. These findings indicate that the proposed IoT-based VCCS provides a practical, reliable, and economically sustainable solution for communication control modernization in aviation training environments.
Hubungan Pola Makan dan Tingkat Stres Akademik dengan Gejala Gastritis pada Mahasiswa Program Studi Kesehatan Masyarakat Rizka Immelda; Septi Amanda Ferliany; Naisila Rofilia Putri; Dhellfhy Anna Johan Manus; Dandi Bagus Dermawan; Teguh Irawan; Yulis Indriyani
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10508

Abstract

Gastritis is an inflammation of the stomach lining that is commonly found among university students and may be influenced by various factors, particulary dietary pattern and high levels of academic stress. This study aimed to determine the relationship between dietary patterns, academic stress levels, and gastritis symptoms among students of the Public Health Study Program, University of Pekalongan. A quantitative study with a cross-sectional design was conducted involving 158 respondents selected from a population of 260 students using the Slovin formula. Data were collected using dietary patterns, academic stres level, and gastritis symptoms questionnaires that had been tested and proven valid (r count > r table) and reliable (Cronbach’s Alpha ≥ 0.70). The data were analyzed using univariate and bivariate analyses with Fisher’s Exact Test. The results showed that the majority of respondents had moderate dietary patterns (74.1%), moderate academic stress levels (77.2%), and mild gastritis symptoms (70.5%). Bivariate analysis revealed a significant relationship between dietary patterns and gastritis symptoms (p = 0.004), as well as between academic stress levels and gastritis symptoms (p = 0.008). Therefore, it can be concluded that dietary patterns and academic stress levels are significantly associated with gastritis symptoms among students at the Public Health Studi Program, University of Pekalongan. Higher education institutions are recommended to provide promotive programs such as time management education and counseling facilities to reduce the risk of gastritis caused by academic pressure.
Analisis Sentimen Terhadap Ulasan Google Review Honda Malang Sekawan Motor Menggunakan IndoRoBERTa Fera Dhea Sagita; M. Syauqi; Risqy Siwi Pradini
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.v7i3.10558

Abstract

Customer reviews on Google Review contain important information about service quality, but the large and unstructured amount of data makes manual analysis difficult. This research aims to analyze the sentiment of customer reviews on Google Review Honda Malang Sekawan Motor Singosari using the IndoRoBERTa model thru a fine-tuning process. The dataset was obtained thru web scraping, followed by preprocessing which included cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling is performed using the lexicon-based InSet method as the initial labeling (weak labeling), then the dataset is divided into training and testing data with an 80:20 ratio. The model is used to classify sentiment into three classes: positive, neutral, and negative. The test results show that the model achieved an accuracy of 0.94, precision of 0.92, recall of 0.94, and an F1-score of 0.92. The model shows good performance in classifying positive sentiment, but still has limitations in recognizing negative sentiment due to data distribution imbalance. The contribution of this research is to provide an evaluation of the application of fine-tuning IndoRoBERTa in the domain of Google Review reviews of Indonesian-language automotive dealers, which have different characteristics from previous studies that mostly used social media data, while also analyzing the influence of InSet-based weak labeling and class imbalance on classification performance. The research results can serve as a basis for utilizing sentiment analysis to help dealers understand customer perceptions and identify aspects of service that need to be maintained or improved. The evaluation of the research also shows that the classification results still represent the label patterns generated by InSet, so further research needs to use human annotation as ground truth to improve the validity of the results.
Analisis Performa Steganografi Hybrid DCT–DWT dengan Enkripsi AES-GCM dan Kompresi Zlib Mokhamad Yusron Rafi; Agung Budi Susanto; Makhsun Makhsun
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10633

Abstract

The increasing exchange of digital data requires information security methods that not only protect message content but also conceal its existence. This study analyzes the performance of digital image steganography based on Hybrid Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combined with Advanced Encryption Standard-Galois/Counter Mode (AES-GCM) encryption and zlib compression in RGB color images. The research employed a quantitative experimental method by comparing three embedding scenarios: DCT, DWT, and Hybrid DCT-DWT. The test data consisted of RGB images with resolutions of 256×256, 512×512, and 1024×1024 pixels, while the payload consisted of DOCX and PDF documents with different sizes. The payload was compressed using zlib, encrypted using AES-GCM, and embedded into image transform coefficients. The evaluation was conducted using Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), extraction success, payload capacity, histogram analysis, and robustness against image manipulation. The results show that all methods successfully embedded and extracted payloads under normal scenarios. For small payloads, the PSNR values were in the high-quality category, such as 48.66 dB for 256×256 images and 60.73 dB for 1024×1024 images. Increasing payload size reduced PSNR and increased MSE. Hybrid DCT-DWT produced visual quality relatively comparable to DCT and DWT, while offering greater flexibility by combining two transform domains.

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