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All Journal Journal of Information Systems Engineering and Business Intelligence Science and Technology Indonesia Jurnal Pengabdian Masyarakat Tapis Berseri Abdi Akommedia : Jurnal Pengabdian Masyarakat Integra: Journal of Integrated Mathematics and Computer Science Nemui Nyimah
Wamiliana
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Other

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Text Stemming and Lemmatization of Regional Languages in Indonesia: A Systematic Literature Review Abidin, Zaenal; Junaidi, Akmal; Wamiliana
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 2 (2024): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.2.217-231

Abstract

Background: Stemming is significantly essential in natural language processing (NLP) due to the ability to minimize word variations to fundamental forms. This procedure facilitates the analysis of textual data and enhances the precision of classification and information retrieval. Objective: Previous related systematic literature review has not been conducted on stemming and lemmatization in regional languages in Indonesia. Therefore, this study aims to conduct a systematic literature review to capture the latest developments in stemming and lemmatization in regional languages in Indonesia. Methods: This study was carried out using Kitchenham method, analyzing 35 studies extracted from 740, which were obtained from Scopus, IEEE Xplore, and Google Scholar, and published between 2014 and 2023. Results: The results showed that study trends in stemming possessed the potential to continue developing every year. Additionally, the main element in stemming and lemmatization studies was found to be the availability of digital dictionaries in regional languages. This was because greater number of basic vocabularies contributed more positively to stemming or lemmatization. The availability of word morphology information in regional languages would be constructive for making rule-based stemmers. Meanwhile, corpus-based stemming and lemmatization studies could only be conducted for languages with a large corpus to ensure there were various affixed words to process. Conclusion: Based on SLR study, stemming and lemmatization in regional languages in Indonesia developed significantly from 2014 to 2023. The two main strategies applied included using available digital dictionaries and language morphology information. However, the main challenges encountered were the limited number of vocabulary words in the dictionaries and testing various rule-based methods.   Keywords: Lemmatization, Morphology, Rule-based, Stemming, Systematic Literature Review.  
Pelatihan Pemahaman Konsep Geometri Berbasis Origami Bagi Siswa SD Negeri 1 Labuhan Ratu, Bandar Lampung Notiragayu; Wamiliana; Asmiati; Widiarti
Nemui Nyimah Vol. 5 No. 1 (2025): Nemui Nyimah Vol. 5 No. 1 2025
Publisher : FT Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/nm.v5i1.171

Abstract

The Origami-Based Geometry Concept Understanding Training for Students of SDN 1 Labuhan Ratu, Bandar Lampung, aims to provide knowledge and an in-depth understanding of geometric building concepts to 20 students in grades 4 and 5 over 2 days as an effort to improve students' abilities and absorption of geometry materials in particular and mathematics more broadly. In this training, the lecture method is applied with slide presentation media, which is needed to explain the concept of geometric buildings and is varied with demonstrations of flat and spatial building models through origami paper demonstrations. Sample data were obtained from the results of the pre-test at the beginning of the training and the post-test at the end of the training. Then, from this paired data form, a hypothesis test was carried out to determine whether the two groups of data were significantly different or not. The results obtained showed an average increase of 22% after the training. This shows that students' absorption of origami-based geometry has improved.
Modeling Cointegrated Nonstationary Air Pollution Data: A Forecasting Study of NO₂ and SO₂ in Indonesia (1950–2022) Adnan, Arisman; Erda, Gustriza; Wamiliana; Russel, Edwin
Science and Technology Indonesia Vol. 11 No. 1 (2026): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.1.161-173

Abstract

 Air pollution from nitrogen dioxide (NO2) and sulfur dioxide (SO2) poses serious threats to human respiratory health and contributes to environmental degradation through acid rain formation. In Indonesia, despite rapid industrialization and increasing emissions, studies examining the interrelated dynamics between NO2 and SO2 at the national level remain limited, with most research focusing only on provincial areas and short time periods. This study fills this gap by analyzing the dynamic relationship between NO2 and SO2 using comprehensive national-level time series data from 1950 to 2022. The analysis examines short-term adjustments, long-term equilibrium patterns, directional causality, and shock responses between the two pollutants. The analysis focuses on identifying the best statistical model to capture the interaction between the two variables. Granger causality tests, impulse response functions (IRFs), and forecast error variance decomposition are applied to examine causal links and response dynamics. The data exhibits nonstationary but cointegrated with rank r=1, indicating a long-run equilibrium correlation between two pollutants. Consequently, the Vector Error Correction Model, VECM(4), is selected as the most appropriate model. The study also provides 10-year forecasts for both pollutants insights into potential future air pollution trends in Indonesia, with NO2 rising from 5.29 to 8.09 million tons and SO2 from3.38 to 5.10 million tons, underscoring the urgent need for integrated emission control policies that address both pollutants simultaneously rather than in isolation.
The Relation of Tribinomial Coefficients with Triangular, Catalan and Mersenne Number Wamiliana; Putri, Desiana; Notiragayu
Science and Technology Indonesia Vol. 11 No. 2 (2026): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.2.750-757

Abstract

Numbers are inseparable from mathematics. Each of these types of numbers has its own distinct definition and properties. Numbers are not only used in mathematics, but are also essential in other fields such as philosophy, technology, and science. Tribinomial coefficients, Catalan numbers, and Mersenne numbers are three types of numbers that has their own uniqueness and beauty. Tribinomial coefficients derived from triangular number using similar definition for binomial coefficients. Triangular numbers constitute a class of figurative numbers derived from the systematic arrangement of discrete units (such as dots) into the geometric configuration of an equilateral triangle. The Catalan numbers constitute a sequence of positive integers that emerge in numerous combinatorial enumeration problems. Formally, the n-th Catalan number is defined by the closed-form expression: $C_n = \frac{1}{n+1} \binom{2n}{n}= \frac{(2n)!}{(n+1)!n!}, n \in N$. Mersenne numbers are the numbers known in mathematics that also have their own beauty and uniqueness. When represented using binary, all Mersenne numbers are repeating 1s. The first eight Mersenne numbers are 1, 3, 7, 15, 31, 63, 127, 255, which are represented in binary as 1, 11, 111, 1111, 11111, 111111, 1111111, 11111111. In this study the relationship of Tribinomial coefficients with Catalan and Marsenne numbers will be disccused.
Approximation Method for Solving Rectangular Guillotine Cutting-Stock Problems Abdul Rahman; Ihda Hasbiyati; Wamiliana; Gamal, Moh Danil Hendry
Integra: Journal of Integrated Mathematics and Computer Science Vol. 3 No. 1 (2026): March
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20263148

Abstract

Rectangular cutting-stock problems are fundamental optimization challenges in manufacturing industries, where the objective is to cut rectangular items from larger sheets while minimizing material waste. This paper introduces an approximation approach to solve rectangular cutting-stock problems with guillotine cuts, where cutting patterns are produced through a column generation framework. In the proposed approach, the master problem determines an optimal combination of cutting patterns, while new patterns are generated through pricing subproblems formulated as knapsack problems. Dynamic programming is employed to efficiently solve these knapsack subproblems, enabling the identification of high-quality cutting patterns. By iteratively enriching the pattern set, the method approximates the optimal solution without requiring exhaustive enumeration of all feasible patterns. The method offers a practical and scalable solution for rectangular cutting-stock problems encountered in real-world practice.
Co-Authors Abdul Rahman Abdurrahman, Ahmad Faruq Akmal Junaidi Amansyah, Wahyu Dwi Arisman Adnan Asmiati Desiana Putri Dian Kurniasari Elfaki, Faiz A.M Elfaki, Faiz AM Gamal, Mohammad Danil Hendry Gustriza Erda Hadi, Nur Wafiqoh Ihda Hasbiyati Jani Master, Jani Lindrianasari Lumbanraja, Favorisen R Mega Sapitri, Nonik Moh Danil Hendry Gamal Mustika, Mira Mustofa Usman Notiragayu Nuning Nurcahyani Nur Hamzah Nurdin, Muhaymi Nurfabella, Rehsya Russel, Edwin Sawitri, Riza Taqwan Thamrin Warsono Widiarti Zaenal Abidin