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All Journal EKSAKTA: Journal of Sciences and Data Analysis Jurnal Fisika Unand Variance : Journal of Statistics and Its Applications Jurnal Ilmiah Matematika International Journal of Electronics and Communications Systems Bulletin of Applied Mathematics and Mathematics Education Southeast Asian Business Review Jurnal Pendidikan MIPA Journal of Social Sciences and Technology for Community Service
Muthoharoh, Luluk
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Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics

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Peningkatan Kompetensi Web Modern melalui Pelatihan Framework Next.js bagi siswa SMKN 7 Bandar Lampung Irawati, Febri Dwi; Sitinjak, Mika Alvionita; Satria, Ardika; Ramdani, Ahmad Luky; Safitri, Ira; Setiawan, Tirta; Muthoharoh, Luluk; Astuti, Rohmi Dyah; Sukma, Yoga Aji; Randa, Dimas Dwi; Nurmadani, Vina; Bellini, Yustida
Journal Social Science And Technology For Community Service Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Maret 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v7i1.1689

Abstract

Kesenjangan kompetensi siswa Sekolah Menengah Kejuruan (SMK) dengan kebutuhan industri pengembangan perangkat lunak yang dinamis menjadi latar belakang utama pelaksanaan pengabdian ini. Framework Next.js, sebagai teknologi modern berbasis React, dipilih untuk meningkatkan kapasitas teknis siswa dalam membangun aplikasi web modern dan berkinerja tinggi. Kegiatan ini bertujuan untuk meningkatkan pemahaman dan keterampilan praktis siswa SMKN 7 Bandar Lampung melalui metode project-based learning. Subjek pengabdian terdiri dari 56 siswa yang dievaluasi menggunakan instrumen pre-test dan post-test. Analisis data dilakukan secara komprehensif menggunakan statistika deskriptif dan inferensia non-parametrik Wilcoxon Signed-Rank Test karena distribusi data yang tidak normal (p < 0,05). Hasil analisis menunjukkan adanya peningkatan skor rata-rata yang signifikan dari 28,39 menjadi 37,04. Wilcoxon test menghasilkan nilai statistik V = 3 dengan signifikansi p < 0,001, yang mengonfirmasi adanya perbedaan kompetensi yang nyata setelah intervensi diberikan. Selain itu, capaian effect size sebesar 0,571 (kategori besar) memperkuat bukti bahwa metode pelatihan berbasis praktik efektif dalam mereduksi disparitas pemahaman siswa, terutama pada indikator inisiasi proyek dan struktur folder. Kesimpulannya, pelatihan ini berhasil mentransformasi pengetahuan siswa dari kategori ragu-ragu menjadi paham, sekaligus memberikan fondasi teknologi yang relevan dengan standar industri terkini.
Analisis Pengelompokan Skripsi Mahasiswa Fakultas Sains Institut Teknologi Sumatera dengan Metode Agglomerative Hierarchical Clustering dan K-Means Clustering Muthoharoh, Luluk
Jurnal Ilmiah Matematika Vol. 13 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jim.v13i1.32040

Abstract

Skripsi merupakan karya ilmiah mahasiswa sarjana berdasarkan penelitian dalam bidang tertentu. Di Fakultas Sains Institut Teknologi Sumatera (Itera), jumlah skripsi yang terus meningkat belum didukung system pengelompokan topik yang sistematis. Penelitian ini menerapkan metode Agglomerative Hierarchical Clustering (AHC) untuk mengelompokkan skripsi berdasarkan kemiripan topik. Data yang digunakan berupa 575 judul skripsi dari sembilan program studi di Fakultas Sains ITERA tahun 2024. Tahapan penelitian meliputi preprocessing teks, perhitungan bobot dengan metode TF-IDF, dan reduksi dimensi menggunakan Principal Component Analysis (PCA). Pengelompokan dilakukan dengan tiga metode linkage, yaitu average, single, dan complete, serta pengukuran kemiripan menggunakan cosine distance. Hasil menunjukkan bahwa metode average linkage memberikan hasil terbaik dengan nilai silhouette coefficient sebesar 0.3091 pada titik potong 0.86. Topik tiap cluster ditentukan dari lima kata kunci dominan berdasarkan nilai TF-IDF tertinggi sebagai label representatif. Penelitian ini diharapkan menjadi langkah awal dalam pengembangan sistem pengelompokan topik skripsi yang lebih terstruktur dan informatif. Analysis of Student Thesis Clustering in the Faculty of Science, Sumatra Institute of Technology, Using the Agglomerative Hierarchical Clustering Method Type your abstract here (10 pt). spasi 1Abstracts are written in two languages, namely Indonesian and English, typed in 1 paragraph 1 space of 150-250 words, containing research points, such as objectives, methods and research results. An undergraduate thesis is a scientific work by students based on research in a specific field. At the Faculty of Science, Institut Teknologi Sumatera (ITERA), the increasing number of theses has not yet been supported by a systematic topic grouping system. This study applies the Agglomerative Hierarchical Clustering (AHC) method to group theses based on topic similarity. The data used consists of 575 thesis titles from nine study programs at the Faculty of Science ITERA in 2024. The research stages include text preprocessing, term weighting using the TF-IDF method, and dimensionality reduction using Principal Component Analysis (PCA). Clustering was performed using three linkage methods: average, single, and complete, with similarity measurement using cosine distance. The results show that the average linkage method provided the best result with a silhouette coefficient value of 0.3091 at a cutting point of 0.86. The topic of each cluster was determined based on five dominant keywords with the highest TF-IDF values as representative labels. This study is expected to serve as an initial step in developing a more structured and informative thesis topic grouping system
Application of Multiple Linear Regression Models for prediction of rice production yields in Central Lampung Yani, Nadia Fitri; Muthoharoh, Luluk; Winardi, Abdy
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i2.14559

Abstract

Rice production is a crucial component of agricultural sustainability and food security in Indonesia, particularly in Central Lampung. This study aims to analyze the influence of planting area and harvested area on rice production using a multiple linear regression approach. The analysis employs secondary time-series data and applies an ordinary least squares (OLS) method with a logarithmic transformation of the dependent variable to address heteroskedasticity issues. Descriptive statistics and classical assumption tests, including normality, multicollinearity, heteroskedasticity, and autocorrelation tests, were conducted to ensure model validity. The results indicate that harvested area has a statistically significant positive effect on rice production, while planting areas shows a negative but statistically insignificant effect. The regression model demonstrates strong explanatory capability with an R-squared value of 81.27% and is statistically significant based on the F-test. Model evaluation using in-sample error metrics yields a Mean Absolute Error (MAE) of 19,344.89, a Root Mean Squared Error (RMSE) of 46,738.41, and a Mean Absolute Percentage Error (MAPE) of 48.20%, indicating that the model effectively captures general production trends but has limited accuracy for precise quantitative forecasting. These findings suggest that harvested area plays a dominant role in determining rice output, while further improvements in predictive performance may be achieved by incorporating additional explanatory variables and exploring alternative modeling techniques.
Co-Authors Abdullah, Khoirul Mizan Abednego, Michael Ahmad Luky Ramdani Alvionita, Mika Ariyanto, Adisty Syawalda Astuti, Rohmi Dyah Athaulloh, M Farhan Bellini, Yustida Biran, Christian Arvianus Nathanael Dian Maya Sari Fitri April Yanti, Fitri April Hati, Berliyana Kesuma Hendri Noperi Ira Safitri Irawati, Febri Dwi Ishak, Shahnaz Salsabila Kartika, Veni Zahara Khoarizmy, Gymnastiar Al Mika Alvionita Sitinjak Mochammad Imron Awalludin Mubarok, Husni Na’fa Muhammad Dhoni Apriyadi Muhammad Kristiawan Muslim, Anwar Nadia Fitri Yani Napitupulu, Leonard Andreas Neliyana, Rahma Nurmadani, Vina Pamungkas, Muhammad Putra Presilia, Presilia Rahmat Heru Setianto Ramdani, Ahmad Luky Randa, Dimas Dwi Reny Dwi Riastuti Sabila, Viyonisa Syafa Sari, Reni Permata Satria, Ardika Satria, Eggie Sharov, Sergii Sihaloho, Ryantoni Sihombing, Ericson Chandra Sitinjak, Mika Alvionita Sukma, Yoga Aji Surya, Annisa Cahyani Tirta Setiawan, Tirta Winardi, Abdy Zamzami, Balqis Dwian Fitri