Article Per Year (5 Year)
p-Index From 2020 - 2025
7.592
P-Index
This Author published in this journals
All Journal Media Ilmu Keolahragaan Indonesia Journal of Physical Education Health and Sport Sistemasi: Jurnal Sistem Informasi Scholaria: Jurnal Pendidikan dan Kebudayaan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Triadik Gelanggang Olahraga: Jurnal Pendidikan Jasmani dan Olahraga (JPJO) JURNAL PENDIDIKAN TAMBUSAI JUARA : Jurnal Olahraga JURIKOM (Jurnal Riset Komputer) Jurnal Bidan Komunitas ACTIVE: Journal of Physical Education, Sport, Health and Recreation Journal of Physical Education and Sports Mobile and Forensics Respati Madani : Indonesian Journal of Civil Society Journal of Research and Educational Research Evaluation Community Empowerment Indonesian Journal of Sport Management Indonesian Journal for Physical Education and Sport Prosiding Seminar Nasional Pascasarjana Proceeding of International Conference on Science, Education, and Technology Journal Of Artificial Intelligence And Software Engineering
Rumini -
Unknown Affiliation
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Mathematics Neuroscience Physics Public Health Social Sciences Other

Published : 88 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 88 Documents
Search

 5   6   7   8   9 
Pengembangan Model Latihan Lempar Lembing Melalui Permainan Fun Game Training Ekstrakulikuler Atletik SMA Negeri 1 Ketanggungan Gilang, Meillenio Agung; Rumini, Rumini
Indonesian Journal for Physical Education and Sport Vol 4 (2023): Edisi Khusus 1
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/inapes.v4i0.63443

Abstract

Extracurriculars benefits can meet the movement needs of athletes, can introduce children to understand their talents, provide their skills, and can channel their physical needs into achievements. The purpose of this study is to develop a training model javelin throwing with extracurricular fun game training games athletics at SMA Negeri 1 Ketanggungan. This research is a development research, using the Research and Development method. From this study obtained results a percentage of 88% (Very Good), the results of the field tests showed the results of the percentage of 85% (Very Good), the expert lecturer validation test obtained the percentage results of 95% (Very Good), and the expert teacher validation test obtained with a percentage of 98% (Very Good). Based on the feasibility results obtained, the percentage results are 92% (Very Feasible). The researcher expects the javelin throwing training model through fun games game training can be developed and can be applied so that it inspires at every school
Analisis Karakteristik Psikologi Atlet Atletik di Kabupaten Pati Menuju Porprov 2023 Pratiwi, Adinda Resta Putri; Rumini, Rumini
Indonesian Journal for Physical Education and Sport Vol 4 (2023): Edisi Khusus 1
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/inapes.v4i0.74580

Abstract

Psychology has an important role in athletics because it focuses on individual skills. The aim of this research is to analyze the psychological aspects of athletic athletes in Pati Regency towards PORPROV in 2023. This research uses a survey method with a quantitative descriptive approach, sample in this research, namely athletic athletes in Pati Regency who passed the 2023 PORPROV limit. The results of the research showed that the anxiety control category was "Poor" 7.7%, "Medium" category 38.5%, "High" category 46.2%, and “Very High” category 7.7%. The mental preparation aspect and concentration aspect obtained a percentage in the "Medium" category of 30.8% and the "High" category of 69.2%. For the motivation aspect, the percentage in the "Medium" category was 15.4% and the "High" category was 84.6%. For the team emphasis aspect, the percentage in the "Medium" category was 38.5% and the "High" category was 61.5%. For the confidence aspect, the percentage in the "Medium" category was 30.8%, the "High" category was 61.5%, and the "Very High" category was 7.7%. Based on these results, it can be concluded that the highest psychological aspect is the motivation aspect. Meanwhile, the lowest psychological aspect is anxiety control.
Decision Support System For Election Suppliers of Goods Using The Simple Method Additive Weighting (SAW) Aprilandri, Gusti; Rumini, Rumini; Maulina, Dina
Mobile and Forensics Vol. 6 No. 1 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v4i1.5522

Abstract

Selection of suppliers of goods is the main key to starting a retail business. The market will find it difficult to determine suppliers because it will have a big effect on the final selling price. The Diva Shop is a medium-sized business that is still growing in the city. The system run by the store is still running on experience. As a store that is ready to compete, the store needs a supporting design system in determining the selection of suppliers of goods. The system is run using the Simple Additive Weighting (SAW) method. That The system that will be created uses the criteria that will be applied by the user based on the SAW method. The SAW design method uses a weighted summation method with the accumulation of various data, each value from the weight results obtained becomes the final decision. The Simple Additive Weighting (SAW) method can be applied properly and correctly to the decision support system at the Diva Store. The steps and results of calculations manually are the same as the steps and results of calculations performed by the system. For testing applications based on the Confusion Matrix method, the accuracy is 73.77% with an error percentage of 26.23%.
Sentiment Analysis of Sunscreen Product Reviews using Naive Bayes Classifier Algorithm Zahirma, Mutia; Rumini, Rumini
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4454

Abstract

The advancement of information and communication technology has transformed consumer interactions with products and brands, especially in the beauty industry. This study focuses on sentiment analysis of sunscreen product reviews using the Naive Bayes Classifier method. Review data for the Wardah UV Shield Essential Sunscreen Gel SPF 35 PA+++ were collected through web scraping from the Femaledaily website, resulting in 1,451 data entries. The data were labeled as positive or negative based on ratings and then processed through data cleaning, case folding, stopword removal, and tokenization. The processed data were converted into numerical representations using TF-IDF. The Naive Bayes Classifier model built for this study achieved an accuracy of 79%, precision of 67%, recall of 64%, and an F1-score of 65%. A word cloud visualization highlighted frequently occurring words in both positive and negative reviews. This study demonstrates that the Naive Bayes Classifier method is effective for classifying sentiments in sunscreen product reviews. Although this method is easy to implement and understand, it has limitations due to the assumption of word independence and the imbalance between positive and negative reviews. Future research is expected to expand the dataset and explore other sentiment analysis methods to improve accuracy.
Penggunaan Aplikasi Office untuk Meningkatkan Pengetahuan Administrasi pada Fasilitator Taman Belajar di Karanganyar Norhikmah, Norhikmah; Rumini, Rumini; Pratama, Rifqy Rayhan Andi Riga; Kusuma, Prita Widia
Madani : Indonesian Journal of Civil Society Vol. 7 No. 1 (2025): Madani : Februari 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v7i1.2447

Abstract

Mastery of office applications is an important skill for learning park facilitators and managing administration effectively. This community service activity aims to improve the knowledge and administrative skills of learning park facilitators in Karanganyar through training in Office applications, such as Microsoft Word, Excel, and PowerPoin. Learning Park is one of the non-formal educational facilities for early childhood and school-age children under the auspices of the Yayasan Rumah Sekolah Indonesia. This educational facility can function as a supplement to or replacement for the widely available formal education. The early childhood education institution, Learning Park, falls into the category of community-based self-help initiatives, which has been operating for about one year and has five facilitators, with the number of students increasing each academic year. Therefore, teachers must enhance the facilitators' knowledge, including administration, financial reporting, and creating engaging teaching processes. The steps of implementing this service training are: first, developing training materials and test questions; second, conducting a pre-test and the training itself; and finally, concluding with an evaluation process through a questionnaire. The results of the service training on office application usage showed an improvement in facilitators' knowledge, with an average score increase of 22% from the pre-test results.
Monitoring Perkembangan Cabor Unggulan Jawa Tengah Dalam Persiapan PON XXI Umam, Khotibul; Rumini, Rumini; Junaidi, Said
Gelanggang Olahraga: Jurnal Pendidikan Jasmani dan Olahraga (JPJO) Vol. 8 No. 2 (2025): Gelanggang Olahraga: Jurnal Pendidikan Jasmani dan Olahraga
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/jpjo.v8i2.12735

Abstract

The research aims to determine the development of Central Java's leading sports in preparation for PON XXI Aceh, North Sumatra. The research approach used is qualitative with a descriptive approach. This research uses primary data from research informants. Data sources were obtained from observations, interviews, and documentation from research informants. Credibility testing was carried out using the triangulation method of sources and data. The research results showed compliance in monitoring Central Java's leading sports branches towards PON XXI 2024 is good but still requires improved communication and integration. The monitoring system for Central Java's leading sports branches for PON XXI 2024 is running well with increasing performance and optimal readiness. Athletes from leading Central Java sports show positive progress, although their endurance and physical consistency still need improvement. Intensive training, health monitoring, and routine evaluations continue to be carried out to ensure optimal readiness of Central Java athletes towards PON XXI 2024. The research conclusion is that monitoring the development of Central Java's leading sports branches ahead of PON XXI Aceh-North Sumatra 2024 shows significant progress, with sound system implementation and routine evaluations that support athlete readiness. Keywords: Evaluation, Monitoring, Sport
Analisis Sentimen Pengguna Media Sosial Terhadap Pemilihan Presiden 2024 Dengan Metode Naive Bayes Classifier Rumini, Rumini
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6679

Abstract

Dengan semakin berkembangnya penggunaan media sosial sebagai sarana komunikasi publik, banyak opini, komentar, dan sentimen yang disampaikan secara terbuka. Namun, volume data yang besar serta penggunaan bahasa informal di platform ini menimbulkan kesulitan dalam memahami sentimen secara efektif. Dampak dari permasalahan ini adalah kurangnya pemahaman yang akurat tentang preferensi politik masyarakat, yang dapat memengaruhi strategi kampanye dan kebijakan publik. Oleh karena itu, diperlukan sebuah metode untuk mengklasifikasikan sentimen secara lebih efektif dari data yang tidak terstruktur. Untuk menyelesaikan masalah tersebut, penelitian ini menggunakan algoritma Naive Bayes Classifier untuk mengklasifikasikan sentimen tweet menjadi tiga kategori: positif, netral, dan negatif. Dengan menggunakan dataset yang terdiri dari 1.945 data hasil crawling dan melalui representasi teks menggunakan Bag of Words (BoW) serta TF-IDF, penelitian ini menunjukkan bahwa algoritma Naive Bayes berhasil mengklasifikasikan sentimen positif, netral, dan negatif secara efektif, terutama pada ulasan negatif dan netral. Model Naive Bayes dengan BoW terbukti memiliki akurasi keseluruhan sebesar 90,15%, dengan keseimbangan yang lebih baik antara precision dan recall dibandingkan model dengan TF-IDF.
MANAJEMEN PEMBELAJARAN DENGAN MENCIPTKAN SUASANA BELAJAR MENYENANGKAN UNTUK MENINGKATKAN MINAT BELAJAR PESERTA DIDIK Akhirmaini, Zelda; Gumono, Gumono; Rumini, Rumini
TRIADIK Vol. 24 No. 1: April 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/triadik.v24i1.37001

Abstract

ABSTRAK   Penelitian ini bertujuan manajemen pembelajaran dengan menciptkan suasana belajar menyenangkan untuk meningkatkan minat belajar peserta didik . Subjek pada penelitian ini peserta didik kelas 5 A di SDN 20 Kota Bengkulu yang berjumlah 28 orang. Penelitian tindakan kelas ini dilakukan oleh peneliti sendiri di bantu dengan guru kelas 5 A dan berkolaborasi dengan teman sejawat. Selama penelitian berlangsung dengan perencanaan, tindakan, observasi, analisis dan refleksi di lakukan secara terstruktur serta mempunyai catatan khusus yang diharapkan membantu proses penelitian yang di lakukan dalam siklus pelaksaan pembelajaran. Terlihat bahwa peserta didik antusias dalam mengkuti pembelajaran setelah di terapkannya sesuai dengan skenario yang telah dibuat. Hasil dari penelitian yang telah di lakukan di kelas 5A SDN 20 Kota Bengkulu diperoleh data dalam memanajemen pembelajaran dengan  menciptakan suasana belajar menyenagkan seorang guru perlu dalam memahami masalah yang dihadapi peserta didik hal yang paling utama yaitu pada tingkah laku yang dilakukan peserta didik selama proses pembelajaran. Pada proses memanajemen kelas untuk menciptakan suasana belajar yang menyenagkan tidak terlepas dari peranan seorang guru. Dalam memanajemen pembelajaran menciptakan suasana belajar yang menyenagkan di awali dengan perancangan yaitu penyiapkan skenario kegiatan pembelajaran, media dan alat evaluasi. Pelaksanaan pembalajaran sangat memerlukan keahlian seorang guru dalam proses pembelajaran yaitu dengan mengguanakan media dan metode yang tepat. Pada tahapan evaluasi pembelajaran yaitu menentukan keberhasilan terhadap pencapaian tujuan dalam pembelajaran yang di inginkan.   Kata Kunci : Manajemen, belajar menyenagkan, minat belajar.   ABSTRACT   This research aims at learning management by creating a pleasant learning atmosphere to increase students' interest in learning. The subjects in this research were 28 class 5 A students at SDN 20 Bengkulu City. This classroom action research was carried out by the researcher himself, assisted by the class 5 A teacher and in collaboration with colleagues. During the research, planning, action, observation, analysis and reflection are carried out in a structured manner and have special notes which are expected to help the research process carried out in the learning implementation cycle. It can be seen that students are enthusiastic in following the learning after implementing it according to the scenario that has been created. The results of research conducted in class 5A of SDN 20 Kota Bengkulu obtained data in managing learning by creating a pleasant learning atmosphere. A teacher needs to understand the problems faced by students, the most important thing is the behavior carried out by students during the learning process. The process of managing a class to create a pleasant learning atmosphere cannot be separated from the role of a teacher. In managing learning, creating a pleasant learning atmosphere begins with design, namely preparing learning activity scenarios, media and evaluation tools. Implementing learning really requires a teacher's expertise in the learning process, namely by using appropriate media and methods. At the learning evaluation stage, namely determining the success of achieving the desired learning objectives.   Keywords: Management, fun learning, interest in learning.
Penggunaan Aplikasi Office untuk Meningkatkan Pengetahuan Administrasi pada Fasilitator Taman Belajar di Karanganyar Norhikmah, Norhikmah; Rumini, Rumini; Pratama, Rifqy Rayhan Andi Riga; Kusuma, Prita Widia
Madani : Indonesian Journal of Civil Society Vol. 7 No. 1 (2025): Madani : Februari 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v7i1.2447

Abstract

Mastery of office applications is an important skill for learning park facilitators and managing administration effectively. This community service activity aims to improve the knowledge and administrative skills of learning park facilitators in Karanganyar through training in Office applications, such as Microsoft Word, Excel, and PowerPoin. Learning Park is one of the non-formal educational facilities for early childhood and school-age children under the auspices of the Yayasan Rumah Sekolah Indonesia. This educational facility can function as a supplement to or replacement for the widely available formal education. The early childhood education institution, Learning Park, falls into the category of community-based self-help initiatives, which has been operating for about one year and has five facilitators, with the number of students increasing each academic year. Therefore, teachers must enhance the facilitators' knowledge, including administration, financial reporting, and creating engaging teaching processes. The steps of implementing this service training are: first, developing training materials and test questions; second, conducting a pre-test and the training itself; and finally, concluding with an evaluation process through a questionnaire. The results of the service training on office application usage showed an improvement in facilitators' knowledge, with an average score increase of 22% from the pre-test results.
Anemia Classification with Clinical Feature Engineering and SHAP Interpretation Amalia, Ikhlasul; Rumini, Rumini
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10912

Abstract

Anemia is a global health issue that has a significant impact on quality of life and productivity. Early and accurate detection is essential to prevent more serious complications. This study aims to develop an anemia classification model based on machine learning technology using the XGBoost algorithm, as well as compare its performance with Logistic Regression and Random Forest methods. The dataset used in this study was obtained from the Kaggle platform, consisting of 1,421 samples and six clinical attributes, namely Gender, Hemoglobin (HGB), Mean Corpuscular Hemoglobin (MCH), Mean Corpuscular Hemoglobin Concentration (MCHC), Mean Corpuscular Volume (MCV), Result. During the feature engineering process, the derived feature of the hemoglobin-to-MCV ratio (Hb/MCV) was added, which is medically relevant in distinguishing types of anemia. Evaluation results showed that XGBoost and Random Forest achieved an accuracy rate and F1-Score of 100%, while Logistic Regression achieved a rate of 98.9%. XGBoost was selected as the primary model due to its efficient computational capabilities and support for interpretation using SHAP (SHapley Additive exPlanations). SHAP visualization revealed that the Hb/MCV ratio and hemoglobin were the most influential features in classification. This model has the potential to be used as a decision support system for automated anemia screening and can be further integrated into clinical systems.
Co-Authors A.A. Ketut Agung Cahyawan W Abdillah, Rusli Abidarin Rosidi Adzalika, Ayu Reza Agung Wahyudi Ahmad Alwi Nurudin Ahmad Alwi Nurudin Aisyah, Hanif Akhirmaini, Zelda Alam, Bima Tangguh Alfath, Abisakha Saif Ali Mustofa Alirman Sarpan Amalia, Ikhlasul Ansori, Ikhsan Anwar Anwar Aprilandri, Gusti Aprilia, Nurazmi Aribowo, Dhany Suhartantyo Ariyadi, Jamal Imam Asmoro, Jimy Purbo Bambang Priyono Billy Castyana, Billy bubunrum@gmail.com, Irda Dewi, Sila Cahya Dina Maulina Donny Firmansyah Dwinanda Saputra, Ahmad Faris Eunike Raffy Rustiana Fakhruddin Fakhruddin Farah Nur Oktavia Febriyanto, Dimas Bayu Gema, Abdul Rachim Gilang, Meillenio Agung Gumono Gumono, Gumono Handoko, Lovi Harry Pramono, Harry Harsono, Tri Nur Heny Setyawati Hermahayu Hidayah, Ayu Nur Ilman Zuda Septiawan Imawati, Veni Indriyanti Indriyanti, Indriyanti Irawan, Fredi Januarto, Khoerul Rohman Jiven, Firza Findia Kasmudi, Udin Khotibul Umam Kusuma, Donny Wira Yudha Kusuma, Prita Widia Lesmana, Dian Lukmanul Hakim Luthfi, Auliya Ma'muroh, Ma'muroh Mardanto, Langgeng Asmoro Budi Mugi Hartono Nasuka Nasuka, Nasuka Norhikmah Norhikmah Oktia Woro Kasmini Handayani Pambudi, Satrio Rilo Parista, Vivi Septiana Patria, Lalu Demung Pradana, Sulistyo Pradana, Toufan Wahyu Pramandhika, Reddy Prasepty, Winda Pratama, Rifqy Rayhan Andi Riga Pratiwi, Adinda Resta Putri pratiwi, Debby Purnomo, Galih Puspita Sari, Ika Endah Putra, Hamdika Rachman, Imaniar Ranu Baskora Aji Putra Ria Lumintuarso Rizki SP, Tri Agustin Wulandari Roas Irsyada, Roas roni, Ahmad Sya'roni S.Pd. M Kes I Ketut Sudiana . Said Junaidi Saputra, Irawan Hadi Saputro, Irfan Toni Satria Armanjaya Seran, Yohanes Arka Maria Setya Rahayu Shodikin, Shodikin Siti Baitul Mukarromah Siti Hajar SOEGIYANTO Soegiyanto Soegiyanto, Soegiyanto Sudarmawan, Sudarmawan Sugiharto - Sugiharto Sugiharto Sugiharto Sugiharto Sukestiyarno, Y.L Sulaiman Sulaiman Suratman Suratman Tandiyo Rahayu Taufiq Hidayah Taufiq Hidayah Tommy Soenyoto Tri Rustiadi, Tri Tri Susanto Ucu Muhammad Afif Wahyuli, Wahyuli Wardhana, Ajie Kusuma Wibowo, Ristianto Adi Wicaksono, Restu Aji Wicaksono, Wisnu Widy Astuti, Widy Winara Winara Winasis, Probo Wiwit Kurniawan, Wiwit Wiyono, Indra Zahirma, Mutia Zola, Nicko