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All Journal Gaung Informatika Jurnal technoscientia Jurnal Teknologi Jurnal Script Jurnal Jarkom Jurnal Eksplora Informatika International Journal of Applied Sciences and Smart Technologies JURNAL TEKNOLOGI TECHNOSCIENTIA SKANIKA: Sistem Komputer dan Teknik Informatika JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Applied Business and Technology Jurnal Riset Multidisiplin dan Inovasi Teknologi Jurnal Abdimas Ekonomi Terapan
Dina Andayati
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Hyperparameter Optimization Using Grid Search and Random Search to Improve the Performance of Prediction Models with Decision Trees Sholeh, Muhammad; Lestari, Uning; Andayati, Dina
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 3 № 03 (2025): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v3i03.2025

Abstract

Hyperparameter selection to obtain optimal accuracy results is an important factor in improving model performance in data science. This study discusses a comparison of two hyperparameter optimization methods, namely Grid Search and Random Search, in the Decision Tree Classifier algorithm using the Breast Cancer Wisconsin (Diagnostic) Dataset from the UCI Machine Learning Repository. The dataset contains 569 samples with 30 numerical features describing the characteristics of breast cancer cells, such as mean radius, texture, perimeter, area, and smoothness, which are classified into two classes, namely malignant and benign. This study uses the CRISP-DM approach, which includes the stages of business understanding, data understanding, data preparation, modeling, and evaluation. In the modeling stage, three testing scenarios were conducted, namely the Decision Tree model without tuning, the model with Grid Search optimization, and the model with Random Search optimization. Performance evaluation was carried out using accuracy, precision, recall, and F1-score metrics. The results showed that hyperparameter optimization had a significant effect on model performance. The Decision Tree model without tuning produced an accuracy of 92.98%, while the model with Grid Search achieved the highest accuracy of 95.61%, and Random Search obtained an accuracy of 97.37%. Thus, it can be concluded that Grid Search provides the most optimal results in finding the best parameter combination, even though it requires longer computation time compared to Random Search.
Optimalisasi Media Sosial dalam Meningkatkan Kualitas Komunikasi dan Pelayanan Publik di Kalurahan Imogiri Sulistyowati, Anggun; Yoshua Ronaldo Primartono; Dina Andayati
Jurnal AbdiMas Ekonomi Terapan Vol. 4 No. 1 (2026): JURNAL ABDIMAS EKONOMI TERAPAN
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Universitas Selamat Sri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/8tz80y63

Abstract

Pemanfaatan media sosial oleh pemerintah tingkat lokal merupakan salah satu strategi penting dalam meningkatkan kualitas pelayanan publik dan komunikasi dengan masyarakat. Namun, pemanfaatan media sosial di Kapanewon Imogiri masih tergolong rendah dan belum dikelola secara optimal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengidentifikasi peluang dan tantangan pemanfaatan media sosial di Kapanewon Imogiri serta merumuskan rekomendasi strategis guna meningkatkan efektivitas pelayanan publik dan komunikasi pemerintahan. Metode yang digunakan adalah pendekatan deskriptif-partisipatif melalui observasi dan diskusi dengan perangkat kapanewon serta masyarakat. Hasil pengabdian menunjukkan bahwa rendahnya pemanfaatan media sosial disebabkan oleh keterbatasan literasi digital, kurangnya sumber daya manusia pengelola, serta belum adanya strategi konten yang terencana. Di sisi lain, kondisi tersebut membuka peluang besar dalam penguatan citra daerah, peningkatan partisipasi masyarakat, dan promosi potensi lokal. Pengabdian ini merekomendasikan pelatihan literasi digital, pembentukan tim pengelola media sosial, dan pengembangan konten berbasis potensi lokal secara berkelanjutan.
EDUKASI DAMPAK NEGATIF PENGGUNAAN GADGET DAN MEDIA INTERNET YANG BERLEBIHAN BAGI ANAK-ANAK Sholeh, Muhammad; Rachmawati, Rr. Yuliana; Andayati, Dina
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 3 No 1 (2022): Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Volume 3, No 1 Maret 2022
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v3i1.670

Abstract

One of the impacts of the COVID-19 pandemic is the implementation of the online teaching and learning process. This is one of the factors that causes dependence on the internet to be higher. The implementation of online learning makes the use of gadgets connected to the internet for children more often. So that children can use the internet properly and safely, it is necessary to have supervision and assistance from parents. This community service given to mothers in the Baros Pakanewon hamlet of Kretek Bantul aims to provide knowledge about safe and healthy internet use for children. The implementation method is carried out by giving questionnaires regarding the use of gadgets in children and lectures on the negative and positive impacts of internet use for children. The results of the implementation of community service carried out include educating mothers on strategies so that children do not depend on gadgets and how the role of parents specifically for mothers is in providing assistance to children in using gadgets that are connected to the internet. Evaluation of activities was carried out by giving a questionnaire and the results of the questionnaire on the question of the bad impact of using gadgets to damage the future of children showed that 85% answered strongly agree and 15% answered agree. The results of the questionnaire on the question of the negative impact on children's health, 90% answered strongly agree and 10% answered agree.
Classification of Customer Opinions on the Quality of Cooperative Minimarket Services Using the Lexicon Approach Sholeh, Muhammad; Uniing Lestari; Dina Andayati
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 5 No. 1 (2026): March 2026
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v5i1.6172

Abstract

Almost every strategic location today has a store that sells  daily necessities. These stores compete with each other by offering prices and services that they hope will satisfy their customers. This competition must be anticipated in the management of minimarkets run by cooperatives. Minimarkets run by cooperatives need to maintain the loyalty of their members and general customers by improving service quality. Customer reviews or suggestions and criticism from members or customers are valuable sources of data for evaluating service performance. These customer reviews are unstructured data that are difficult to process manually. This study aims to classify customer opinions on the service quality of cooperative minimarkets into positive, negative, and neutral sentiments using a Lexicon-Based approach. The research methods used are text data preprocessing, sentiment weighting using a lexicon dictionary, classification into positive, negative, or neutral classes, and system performance testing using a confusion matrix. The data labeling stage is carried out automatically using the Lexicon InSet dictionary to determine the sentiment class (positive or negative). The labeled data was then processed using TF-IDF feature extraction and used to train the logistic regression model. Model performance evaluation was carried out using a Confusion Matrix with a training data and test data ratio of 80:20. The results of this study show that the logistic regression algorithm is capable of classifying cooperative service sentiment with an accuracy rate of 81%, precision of 83%, recall of 81%, and an F1 score of 79%. These results indicate that the method used is quite effective in identifying customer opinions and can be used as a decision support system for cooperative managers in continuously improving service quality based on customer sentiment data analysis.  
Co-Authors -, Suraya Agnesie Pratiwi Masero Ajeng Dian Akbarwati Annafi’ Franz Bobby Fajar Christian Dias Persada Eko Budianto Erfanti Fatkhiyah Erna Kumalasari Nurnawati Esa Novedieli Gulo, Esa Novedieli Febrianto Ramadhon Haryanto, Ricard Septa i Amalo, Verawaty Yusmarn Jayanti, Laela Qodar Dwi Jayawarsa, A.A. Ketut Joko Triyono Kurniawan, Widiharto Kusuma, Rr. Yuliana Laharun Muhammad Laksono Trisnantoro MUHAMMAD SHOLEH Muhammad Sholeh Muryanto, Joko N, Erna Kumalasari Padmanaba, Aditya Prihsmoro1, Catur Dwi Rahma K, Adna Dea Rahman S, Afif Hikmatur Ramadhan, Renggana Surya Richard Septa, Richard Rizal Afriansyah Rr. Yuliana Rachmawati Rr. Yuliana Rachmawati, Rr. Yuliana Rr.Yuliana Rachmawati K, Rr.Yuliana Rr.Yuliana Rachmawati, Rr.Yuliana Sulistyowati, Anggun Suraya Suraya - Suraya . Suraya Suraya Syukri Adbullah Uniing Lestari Uning Lestari Uning Lestari Verawaty Yusmarni Amalo, Verawaty Yusmarni Yoshua Ronaldo Primartono Yuliana Rachamawati, Yuliana Zul Fahmi Husein