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Integra: Journal of Integrated Mathematics and Computer Science
Published by Universitas Lampung
ISSN : -     EISSN : 31091792     DOI : https://doi.org/10.26554/integrajimcs
Core Subject : Science, Education,
Computer Science & IT Mathematics
Integra : Journal of Integrated Mathematics and Computer Science is the international journal in the field of Mathematics and Computer Science. Integra : Journal of Integrated Mathematics and Computer Science publish original research work both in a full article or in a short communication form, review article, and technical article in the field of Mathematics and Computer Science. Scope of this journal is : Mathematics Applied Mathematics Statistics Applied Statistics Data Science Computer Science
Arjuna Subject : Matematika - Matematika Komputer
Articles 6 Documents
 1 
Search results for , issue "Vol. 2 No. 3 (2025): November" : 6 Documents clear
On Square-Closed Lie Ideals and Generalized Homoderivations in Prime Rings G. Naga Malleswari; S. Sreenivasulu
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252338

Abstract

Let M be a square-closed noncentral Lie ideal of a prime ring R with char(R) ≠ 2. An additive mapping G on R is defined as a generalized homoderivation if it satisfies G(στ) = G(σ) h(τ) + G′(σ) y + x h(τ) for all σ and τ in R. This paper focuses on studying generalized homoderivations of prime rings using square-closed Lie ideals that satisfy certain differential identities.
Color-Based Spot Detection Using Automatic Leaf Segmentation in Potato Plants Sholehurrohman, Ridho; Sari, Kartika; Junaidi, Akmal
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252339

Abstract

Potato (Solanum tuberosum L.) is one of the world’s major food crops, playing a vital role in supporting food security and nutritional resilience. However, its productivity is often threatened by foliar diseases such as early blight and late blight, which can cause significant yield losses. This study aims to develop a lightweight and explainable classification method for detecting potato leaf diseases based on automatic leaf segmentation and color-based spot analysis. Early and accurate disease detection is essential to support preventive actions in plant protection. The proposed method integrates automatic leaf segmentation using HSV-based thresholding to isolate the leaf region from the background, followed by color-based spot detection to identify disease symptoms. Extracted features include spot area, number of detected spots, and average hue values, which were then classified into three categories (healthy, early blight, and late blight) using a rule-based approach. Validation was conducted by manually comparing classification outputs with ground truth derived from file names. The results show that the method can successfully segment potato leaves, detect spot regions, and classify disease types consistently with manual validation. Although not evaluated through large-scale statistical metrics, the findings indicate that this color-based approach provides a reliable foundation for lightweight potato leaf disease detection without requiring deep learning models.
Understanding Consumer Sentiments: A TextBlob-Based Sentiment Analysis Study Kurniasari, Dian; Hdiana, Yazid Zinedine; Lumbanraja, Favorisen R.; Warsono, Warsono; Hadi, Normi Abdul
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252340

Abstract

This study employs advanced sentiment analysis techniques to enhance the understanding of drug reviews, with a specific focus on TextBlob-based sentiment classification. As the accessibility of health products through pharmacies and online platforms continues to increase, individuals with limited health literacy are increasingly relying on user-generated feedback to inform their decision-making. By utilizing the TextBlob labelling method, this research categorizes user sentiments into positive, neutral, or negative, addressing the limitations inherent in traditional sentiment analysis approaches. The analysis is supported by an innovative model known as BERT, which effectively captures the emotional expression within textual data. The results indicate that the proposed approach consistently achieves an accuracy of 98% across training, validation, and testing phases, highlighting its strong performance in sentiment classification. This accomplishment underscores TextBlob’s ability to consistently and reliably assess user sentiment, thereby enriching the understanding of consumer perspectives in the pharmaceutical industry. The findings highlight the importance of effective sentiment analysis methods in healthcare, offering valuable insights for both consumers and stakeholders. Moreover, this study provides a foundation for future investigations focused on improving sentiment analysis methods across varied datasets, which will enhance the precision and applicability of classification results in different scenarios.
The Comparison of the Nearest Neighbor and Modified Sollin Algorithms for Determining the Shortest Tour for BNI Bank Branches in Lampung Province Maharani, Assyfa Dwipa; Putri, Desiana; Sapitri, Nonik Mega; Notiragayu; Ansori, Muslim
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252342

Abstract

BNI is one of the government -owned banks in Indonesia. At certain times, BNI experiences a significant increase in the number of customers, which can lead to long queues. In such situations, customers generally consider visiting other BNI branches. To optimize time and cost, it is necessary to have information to determine the shortest tour between BNI locations in Lampung Province. The purpose of this study is to determine the shortest tour among 21 BNI locations in Lampung Province. The results show that both the Nearest Neighbor Heuristic Algorithm and the Modified Sollin’s Algorithm produce the same solution for Euclidean distance data and Haversine distance data. However, for time-based data, the Modified Sollin’s Algorithm performs better than the Nearest Neighbor Heuristic Algorithm.
Survey of Estimability Criteria, Connected Design and Testing Testable Hypotheses in Unbalanced Design Elfaki, Faiz AM; Russel, Edwin; Widiarti; Usman, Mustofa; Daoud, Jamal I.
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252343

Abstract

In the linear model Y = Xβ+ε with X having a full column rank, all β parameters can be estimated and the estimates are unique. However, in cases where X does not have a full column rank, not all β parameters can be estimated. In this paper, the problem to be discussed is how to determine parameters or parameter functions that are estimable and testable. Applications to the case of unbalanced data will be presented.
Modeling the Dimensions of Globalization, Economic Growth, Inequality, and Poverty in Indonesia Using VAR/VECM Method Nindien, Qurrota Ayu; Ikhsana, Nadya Ramadhani; Armunanto, Yohanes Novi
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252345

Abstract

This study analyzes the relationship between various dimensions of globalization, economic growth indicators, inequality, and poverty in Indonesia using a VECM framework. All variables are stationary at the first difference, and the Johansen cointegration test identifies four cointegrating vectors, indicating a long-run equilibrium among poverty (POV), FDI, inequality (GR), unemployment (UE), economic openness (IEG), economic cooperation (IEC), and social openness (ISG). Based on the Akaike Information Criterion (AIC), a lag order of two is selected, and the VAR stability test confirms that the model is valid. In the long run, FDI, GR, UE, IEG, and ISG significantly influence poverty, whereas IEC shows no significant effect. FDI, IEG, GR, and ISG contribute to poverty reduction, while UE increases poverty. No variable exhibits short-run significance, but the significant error correction term (ECT) reflects a gradual adjustment toward long-term equilibrium. The FEVD results show that up to the tenth period, the variance in POV is primarily explained by POV itself (63.97%), followed by ISG (15.77%), GR (12.76%), and UE (5.49%), whereas FDI, IEG, and IEC contribute less than 1%. Overall, poverty dynamics in Indonesia are largely driven by their own persistence, with additional contributions from social openness and inequality.

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