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All Journal JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMATICS JURIKOM (Jurnal Riset Komputer) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Informatika Global Journal of Information Systems and Informatics Prosiding Seminar Nasional Multidisiplin Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal Sistem Komputer dan Informatika (JSON) At-Thullab : Jurnal Pendidikan Guru Madrasah Ibtidaiyah Jurnal Inovasi Penelitian Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian kepada Masyarakat Journal of Education Research Indonesian Community Journal Jurnal Algoritma Edu Research : Jurnal Penelitian Pendidikan Inspirasi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Media Bina Ilmiah Journal of Research Applications in Community Services AL-UMRON: Jurnal Pengabdian kepada Masyarakat E-Amal: Jurnal Pengabdian Kepada Masyarakat Almantiq Jurnal Teras Pengabdian Masyarakat NAWASENA BHAKTI International Journal of Education and Learning Journal of Educational Research and Practice SAHABAT: Jurnal Pendidikan Anak Usia Dini
Ita Aristia Sa'ida
Universitas Nahdlatul Ulama Sunan Giri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Peningkatan Perekonomian Masyarakat Desa Sambongrejo Melalui Produksi Makanan Berbahan Dasar Tahu Abidin, Muhammmad Zaenal; Sa’ida, Ita Aristia; Cholifah, Siti
Journal of Research Applications in Community Service Vol. 1 No. 1 (2022): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v1i1.880

Abstract

Desa Sambongrejo merupakan salah satu desa yang terletak di kecamatan Sumberrejo Kabupaten Bojonegoro. Di desa tersebut terdapat pabrik tahu yang dikelola secara tradisional. Tahu tersebut dijual secara langsung kepada para penjual lain ataupun konsumen lansung. Tahu yang diolah lebih lanjut tentunya memiliki nilai ekonomis lebih tinggi dan dapat meningkatan pendapatan masyarakat. Berdasarkan hasil analisa tersebut, kegiatan pengabdian kepada masyarakat ini adalah pemberian pelatihan produksi makanan berbahan baku tahu dan lomba memasak berbahan baku tahu. Sasaran kegiatan ini adalah ibu-ibu PKK dan kelompok pemuda-pemudi karang taruna Desa Sambongrejo. Metode pelaksanaan pengabdian adalah penyuluhan, pelatihan, perlombaan dan pelaporan. Kegiatan ini menghasilkan beberapa produk makanan berbahan dasar tahu di antaranyaadalah keripik tahu, lontong tahu, lumpia tahu dan rolade tahu.
Meningkatkan Ekonomi Melalui Usaha Keripik Tempe di Desa Bayemgede Kecamatan Kepohbaru Kabupaten Bojonegoro Tawakkal, M. Iqbal; Sa’ida, Ita Aristia; Huda, Nurul; Sholihah, Nurul Maratus
Journal of Research Applications in Community Service Vol. 2 No. 2 (2023): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v2i2.1394

Abstract

Desa Bayemgede terletak di ujung kabupaten kecamatan kepohbaru. Keberadaan lokasi tersebut, menjadikan desa Bayemgede lebih beragam dan memiliki potensi dalam berbagai bidang yakni segi pendidikan, ekonomi, keagamaan, dan kesehatan. Tujuan penelitian ini adalah untuk mengetahui kondisi bidang pendidikan, ekonomi, keagamaan, dan kesehatan. Metode dalam penelitian ini adalah melakukan observasi, analisis, dan mapping data. Hasil penelitian potensi dari bidang pendidikan, ekonomi, keagamaan, dan kesehatan mengalami peningkatan yang dibuktikan dengan etika perilaku masyarakat, menciptakan produk kripik tempe Bayemgede untuk UMKM, lebih relegius, dan lebih sadar akan hidup sehat. Kesimpulan dengan adanya KKN Unugiri Di Desa Bayemgede mengalami peningkatan dalam kehidupan masyarakat di berbagai bidang pendidikan, ekonomi, agama, dan kesehatan.
PENGARUH KOMPOSISI SPLIT DATA PADA AKURASI KLASIFIKASI PENDERITA DIABETES MENGGUNAKAN ALGORITMA MACHINE LEARNING Febby Refindha Aftha Harianto; Zakki Alawi; Ita Aristia Sa’ida
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3663

Abstract

The increasing number of people with diabetes is an international health problem. To prevent diabetic complications, early diagnosis and accurate classification are essential. This study looks at how the composition of split data affects the classification performance of diabetics with machine learning algorithms such as Random Forest, Naive Bayes, and Support Vector Machine (SVM). The research data is taken from Bojonegoro Regency Hospital, which consists of 128 samples that have 10 main features. To ensure the data is ready for use, the research method goes through a preprocessing stage. Next, the data was divided into training and testing data with a ratio of 90:10, 80:20, 70:30, 60:40, and 50:50 respectively. Using confusion matrix, the algorithm is assessed for accuracy, precision, recall, and F1 score. In this study we focus on the accuracy values obtained and the results show that the proportion of data sharing affects the performance of the algorithm. Random Forest achieved 100% accuracy in some scenarios. This algorithm also proved to be the most effective in the classification of diabetics. In conclusion, algorithm selection and data split composition are very important for model performance optimization. These results are important for the development of more accurate and efficient Machine Learning-based diagnosis systems. Further research can consider larger datasets and additional algorithms for better results.
Analisis Sentimen Komentar iPhone 17 pada Platform YouTube Menggunakan IndoBERT dan Support Vector Machine MARATUS SHOLIHAH, SITI; Afril Efan Pajri; Ita Aristia Sa’ida
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9507

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen komentar YouTube berbahasa Indonesia terkait iPhone 17 dengan membandingkan metode Support Vector Machine berbasis Term Frequency–Inverse Document Frequency dan model IndoBERT. Data diperoleh melalui proses crawling komentar pada kanal YouTube GadgetIn, kemudian diproses melalui tahapan pre-processing untuk mengurangi noise dan menormalkan teks. Pelabelan sentimen dilakukan secara otomatis menggunakan InSetLexicon dengan dua kelas, yaitu positif dan negatif. Dataset selanjutnya dibagi menggunakan teknik stratified split menjadi data latih, validasi, dan uji. Selain dua model utama, pendekatan ensemble IndoBERT–SVM diuji sebagai metode tambahan untuk menilai stabilitas performa klasifikasi. Evaluasi dilakukan menggunakan confusion matrix serta metrik Accuracy, Precision, Recall, dan F1-score. Hasil pengujian menunjukkan bahwa IndoBERT memperoleh performa terbaik dengan nilai Accuracy sebesar  92, 29%, diikuti oleh model ensemble sebesar 91,63%, dan Support Vector Machine sebesar 88,99%. Temuan ini mengindikasikan bahwa model berbasis transformer lebih efektif dalam memahami konteks bahasa informal pada komentar YouTube dibandingkan metode berbasis fitur tradisional. Dengan demikian, penelitian ini memberikan bukti empiris mengenai efektivitas pendekatan machine learning dan transformer dalam analisis sentimen media sosial berbahasa Indonesia.
Outdoor Learning through Scientific Excursions to Foster Exploratory Attitudes in Early Childhood Ita Aristia Sa'ida
SAHABAT: Jurnal Pendidikan Anak Usia Dini Vol. 1 No. 1 (2025): SAHABAT: Jurnal Pendidikan Anak Usia Dini
Publisher : CV. AGRAPANA MEDIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65789/sahabat.v1i1.91

Abstract

This study explores the implementation of scientific excursions as a strategy to foster exploratory attitudes in early childhood education. Children at the early developmental stage naturally exhibit curiosity and a desire to explore their surroundings, making hands-on learning experiences essential. Scientific excursions provide opportunities for children to engage with real-life phenomena outside the classroom, allowing them to observe, question, and interact directly with their environment. This qualitative study employs a literature review approach, analyzing previous research and practical applications of outdoor educational activities and exploratory learning. Findings indicate that such excursions enhance cognitive, social, emotional, and motor development, while also promoting critical thinking and problem-solving skills. Teachers play a crucial role in facilitating these experiences, guiding learning while allowing children autonomy in exploration. The study highlights the importance of integrating experiential learning into early childhood education to cultivate lifelong curiosity and an active learning mindset. Implementing scientific excursions systematically can improve the quality and effectiveness of early childhood learning programs.
Implementation of the Project-Based Assignment Method for Making Eco Print Totebags to Improve Student Creativity in SBdP Learning Diajeng Fatimatuz Zahro; Ita Aristia Saida
International Journal of Education and Learning Vol. 2 No. 1 (2026): International Journal of Education and Learning
Publisher : Badan Usaha Milik Desa Berkaho Pungpungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64084/ijel.v2i1.181

Abstract

Cultural Arts and Crafts (SBdP) learning in elementary schools plays an important role in developing students' creativity through meaningful practical activities. The reality in the field shows that the art learning process often still focuses on explaining theory, so students' opportunities to explore and develop creative ideas are not yet optimal. This study aims to describe the implementation of the project-based method of making eco print tote bags, the process of developing students' creativity, as well as the impact of applying this method on students' creativity in SBdP learning at MI Az-Zahro Panunggalan. This research uses a qualitative approach with a case study type of research. Data collection techniques were conducted through observation, interviews, and documentation involving teachers and students in SBdP learning activities. Data analysis was carried out through the stages of data reduction, data presentation, and drawing conclusions. Research results indicate that the application of the project task method through eco-print tote bag making activities is able to create more active, collaborative, and creative learning. Students are directly involved in the process of exploring natural materials, designing motifs, as well as practicing the creation of artworks that promote the development of creative thinking skills. In addition, project activities also increase self-confidence, interest in learning, and the ability to collaborate among students in the learning process.
Optimization of Sleep Disorder Classification Using ANN with Multi-Method Feature Selection Devi Nova Kharisma; Ifnu Wisma Dwi Prastya; Ita Aristia Saida
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1473

Abstract

Sleep disorders are health problems that can affect quality of life and have the potential to increase the risk of various chronic diseases. Therefore, a computational approach is needed to accurately and efficiently classify sleep disorders. The ANN model used has a two-layer hidden architecture with 128 and 64 neurons, respectively, and uses the ReLU activation function, equipped with a dropout layer to reduce overfitting. Three neurons with a softmax activation function make up the output layer, which produces probabilities for every class. To improve model performance, three feature selection methods were compared, namely Chi-Square, Information Gain, and Pearson Correlation. The test results showed that the ANN model without feature selection produced an accuracy of 89.3%. After feature selection, the model's performance improved significantly. The Chi-Square method produced 8 selected features with the highest accuracy of 97.3%, followed by Information Gain with 5 features and an accuracy of 97.3%, and Pearson Correlation with 3 features and an accuracy of 88.0%. The results of this study demonstrate that selecting appropriate features can significantly enhance an ANN's ability to categorize sleep problems. The proposed approach is expected to be a reference in the development of a more accurate sleep disorder diagnostic aid system.
Digitalisasi untuk Penguatan Tata Kelola Koperasi Desa Merah Putih Afril Efan Pajri; Ita Aristia Sa’ida
Jurnal Teras Pengabdian Masyarakat Vol. 2 No. 1: Januari (2026)
Publisher : PT. Teras Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64479/jtpm.v2i1.54

Abstract

Digital transformation in cooperatives has become an urgent necessity in the era of Industry 4.0 and Society 5.0. This study aims to develop and implement a web-based cooperative management system in Koperasi Desa Merah Putih to enhance efficiency, accuracy, transparency, and member participation. The research employed a research and development (R&D) method with a participatory approach, involving cooperative managers and members throughout the stages of needs analysis, system design, implementation, and evaluation. The results indicate that the digital system significantly improves administrative efficiency by more than 50%, reduces recording errors by over 70%, and provides real-time financial reports accessible to members. Furthermore, the system fosters digital literacy among cooperative managers and members, although several challenges remain, such as limited internet infrastructure, human resource readiness, and the need for continuous system maintenance. Practically, this study offers a ready-to-use digital cooperative system that can serve as a model for other rural cooperatives. Academically, it strengthens the literature on cooperative digitalization as a strategy to enhance governance, build member trust, and promote sustainable rural economic development.
Strengthening the Value of Mutual Cooperation through Pancasila Education Ita Aristia Sa'ida
Journal of Educational Research and Practice Vol 2 No 1 (2026): Journal of Educational Research and Practice
Publisher : Agrapana Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65789/jerp.v2i1.66

Abstract

This study aims to describe the strengthening of the value of mutual cooperation through the learning of Pancasila Education at Universitas Nahdlatul Ulama Sunan Giri. This research employs a qualitative approach with a descriptive design. The research subjects consist of lecturers teaching the Pancasila Education course and students participating in the course. Data were collected through in-depth interviews, observations, and documentation. Data analysis was conducted using an interactive analysis model, which includes data reduction, data display, and conclusion drawing, while data validity was ensured through source and methodological triangulation. The findings indicate that the strengthening of the value of mutual cooperation is implemented through interactive and collaborative learning activities, such as group discussions, teamwork, and deliberation during the learning process. Lecturers serve as facilitators and role models in instilling the value of mutual cooperation, while students demonstrate positive responses to the learning activities. The value of mutual cooperation is not only understood conceptually but has also begun to be internalized in students’ attitudes and behaviors, both inside and outside the classroom. This study concludes that Pancasila Education plays a strategic role as a means of character building for students, particularly in strengthening the value of mutual cooperation. This research is expected to serve as a reference for the development of Pancasila Education learning that is oriented toward values based and character based education in higher education.
Hyperparameter Optimization pada Algoritma Decision Tree untuk Klasifikasi Penyakit Jantungd Taufik Hidayat; Mula Agung Barata; Ita Aristia Sa’ida
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3297

Abstract

Heart disease is one of the leading causes of death globally, making the development of accurate classification models based on clinical data essential to support early risk stratification. The Decision Tree algorithm is widely applied in medical analysis due to its interpretability; however, its performance is often limited by the use of default hyperparameters. This study aims to improve the performance of the Decision Tree algorithm through the application of hyperparameter optimization using a two-stage strategy. Experiments were conducted using a Kaggle dataset consisting of 918 patients with 12 clinical attributes. The data preparation stage included encoding categorical variables and evaluation using stratified 10-fold cross-validation. The baseline Decision Tree model achieved an accuracy of 79.20%, precision of 83.16%, recall of 78.76%, and an F1-score of 80.68%. The two-stage optimization involved Random Search cross-validation to explore the parameter space, followed by refinement using Grid Search cross-validation. The optimized model showed improved performance, achieving an accuracy of 83.66%, precision of 84.17%, recall of 86.42%, and an F1-score of 85.13%. To test the statistical significance of the performance improvement, a Shapiro-Wilk normality test was conducted on the difference in F1-scores, indicating a normal distribution (p = 0.233). A paired t-test showed that the increase in F1-score was statistically significant (t(9) = 4.60, p = 0.0016) with a very large effect size (Cohen’s d = 1.45).
Co-Authors Abdul Faqih Abidin, Muhammmad Zaenal Afril Efan Pajri Agus Afriliyanto agustian, rifan Ainu Zuhriyah Ainu Zuhriyah Amalia Nur Laily APRILLIA, YUSIFA Audytra, Hastie Ayu Mauliana Intahaya Bakti Putra Pamungkas Ceisa Santi, Nirma Devi Dwi Nuraliza Devi Nova Kharisma Diah Anggraini, Diah Diah Fitriani Diajeng Fatimatuz Zahro Dirgantoro, Guruh Putro Dirgantoro, Guruh Putro Dirgantoro Dwi Issadari Hastuti Eka Asfira Eli Widyawati, Reza Elok Salma Nabila Salma Elsa Azia Ulhaq Fajar Nawulansih, Dewi Febby Refindha Aftha Harianto Festian Cindarbumi Guruh Putro Dirgantoro Ifnu Wisma Dwi Prastya Ifnu Wisma Dwi Prastya Jauhar Vikri, Muhammad Kurniawati, Naning M. Iqbal Tawakkal MARATUS SHOLIHAH, SITI Mochamad Nizar Palefi Ma’ady Muarofah, Isna Ayu Muhammad Adib Asrori Muhammad Zaenal Abidin Mula Agung Barata Nailus Saidah Anindia Septiana Nawafila Februyani Niken Sukmawati Nurul Huda Sahri Sahri Sahri Sahri Sanjaya, Ucta Pradema Santi, Nirma Ceisa Saputra, Agus Bima Sholihah, Nurul Maratus SITI CHOLIFAH Siti Cholifah Siti Shoimah Sunu Wahyudhi Sunu Wahyudhi Taufik Hidayat Taufiq Hidayat Tawakkal, M. Iqbal Wulan, Diah Nawang Wulandari, Devi Ayu Zakki Alawi Zeti Novitasari