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All Journal IC Tech: Majalah Ilmiah Jurnal Pengabdian Pada Masyarakat METHABDI IC Tech: Majalah Ilmiah
Anas Syaifudin
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health Other

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Optimalisasi Penggunaan Microsoft Word untuk Membuat Surat Bagi Pengelola HIMPAUDI Se Kabupaten Pekalongan Risqiati, Risqiati; Anas Syaifudin; Sugianti, Devi; Kurniawan, Muhammad Faizal; Setianto, Wahyu
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

HIMPAUDI (Association of Indonesian Early Childhood Education and Education Personnel) Pekalongan Regency is an independent organization that brings together elements of educators and education personnel for early childhood. A HIMPAUDI institution is said to be good can be seen from its administrative management in the fields of service, employment, finance and in orderly and regular learning activities. Currently, efficient and effective administrative management is a requirement for every HIMPAUDI institution that exists. The existence of HIMPAUDI management staff who still have difficulty in operating Microsoft Word. Even though in their daily lives the use of computers to manage HIMPAUDI correspondence administration is a mandatory thing to do. Existing limitations such as managers who cannot make mail merges, because so far they have been writing one by one to each recipient of the letter, not knowing how to optimize the buttons on the keyboard or the menus in Microsoft Word to make it easier to create letters are challenges as well as opportunities to carry out community service. Therefore, a community service was carried out to optimize Microsoft Word to create letters for HIMPAUDI administrators and the results obtained after this activity were carried out showed a significant increase from previously 26% of HIMPAUDI administrators who needed a long time to create letters using the toolbar and mail merge to 94% of HIMPAUDI administrators who found it easier to create letters using the toolbar and mail merge.
Optimalisasi Penggunaan Microsoft Word untuk Membuat Surat Bagi Pengelola HIMPAUDI Se Kabupaten Pekalongan Risqiati, Risqiati; Anas Syaifudin; Sugianti, Devi; Kurniawan, Muhammad Faizal; Setianto, Wahyu
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol5No1.pp30-34

Abstract

HIMPAUDI (Association of Indonesian Early Childhood Education and Education Personnel) Pekalongan Regency is an independent organization that brings together elements of educators and education personnel for early childhood. A HIMPAUDI institution is said to be good can be seen from its administrative management in the fields of service, employment, finance and in orderly and regular learning activities. Currently, efficient and effective administrative management is a requirement for every HIMPAUDI institution that exists. The existence of HIMPAUDI management staff who still have difficulty in operating Microsoft Word. Even though in their daily lives the use of computers to manage HIMPAUDI correspondence administration is a mandatory thing to do. Existing limitations such as managers who cannot make mail merges, because so far they have been writing one by one to each recipient of the letter, not knowing how to optimize the buttons on the keyboard or the menus in Microsoft Word to make it easier to create letters are challenges as well as opportunities to carry out community service. Therefore, a community service was carried out to optimize Microsoft Word to create letters for HIMPAUDI administrators and the results obtained after this activity were carried out showed a significant increase from previously 26% of HIMPAUDI administrators who needed a long time to create letters using the toolbar and mail merge to 94% of HIMPAUDI administrators who found it easier to create letters using the toolbar and mail merge.
ANALISIS KOMPARATIF METODE HYPERPARAMETER TUNING PADA MODEL KLASIFIKASI UNTUK DATA BALANCED DAN INBALANCED Anas Syaifudin; Indrayanti Indrayanti; Wim Hapsoro; Rizqi Wijonarko
IC Tech: Majalah Ilmiah Vol 21 No 1 (2026): IC Tech: Majalah Ilmiah Volume XXI No. 1 April 2026
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v21i1.381

Abstract

Selecting the right hyperparameter tuning method plays a crucial role in improving the performance of a classification model, especially when applied to datasets with different class distribution characteristics. This study aims to analyze and compare the effectiveness of three hyperparameter tuning methods, namely Grid Search, Random Search, and Bayesian Optimization, on the XGBoost, Random Forest, and Support Vector Machine (SVM) models. Testing was conducted using two datasets with different characteristics, namely Breast Cancer Wisconsin as a balanced dataset and Credit Card Fraud Detection as an unbalanced dataset. Model performance evaluation was adjusted to the characteristics of the datasets, using F1-score (macro) for the Breast Cancer dataset and Precision-Recall AUC for the Credit Card Fraud dataset. The results show that on balanced datasets, all tuning methods produce relatively similar performance, with SVM consistently providing the best results. Conversely, on unbalanced datasets, random search and Bayesian optimization methods show superiority in finding hyperparameter configurations that can improve the detection ability of minority classes, especially on the XGBoost model. This finding emphasizes that the selection of tuning methods and evaluation metrics must be adjusted to the characteristics of the data used.
ANALISIS KOMPARATIF METODE HYPERPARAMETER TUNING PADA MODEL KLASIFIKASI UNTUK DATA BALANCED DAN INBALANCED Anas Syaifudin; Indrayanti Indrayanti; Wim Hapsoro; Rizqi Wijonarko
IC Tech: Majalah Ilmiah Vol 21 No 1 (2026): IC Tech: Majalah Ilmiah Volume XXI No. 1 April 2026
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v21i1.381

Abstract

Selecting the right hyperparameter tuning method plays a crucial role in improving the performance of a classification model, especially when applied to datasets with different class distribution characteristics. This study aims to analyze and compare the effectiveness of three hyperparameter tuning methods, namely Grid Search, Random Search, and Bayesian Optimization, on the XGBoost, Random Forest, and Support Vector Machine (SVM) models. Testing was conducted using two datasets with different characteristics, namely Breast Cancer Wisconsin as a balanced dataset and Credit Card Fraud Detection as an unbalanced dataset. Model performance evaluation was adjusted to the characteristics of the datasets, using F1-score (macro) for the Breast Cancer dataset and Precision-Recall AUC for the Credit Card Fraud dataset. The results show that on balanced datasets, all tuning methods produce relatively similar performance, with SVM consistently providing the best results. Conversely, on unbalanced datasets, random search and Bayesian optimization methods show superiority in finding hyperparameter configurations that can improve the detection ability of minority classes, especially on the XGBoost model. This finding emphasizes that the selection of tuning methods and evaluation metrics must be adjusted to the characteristics of the data used.
Co-Authors Faizal Kurniawan Indrayanti Indrayanti Risqiati, Risqiati Rizqi Wijonarko Sugianti, Devi Wahyu Setianto, Wahyu Wim Hapsoro