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All Journal International Journal of Electrical and Computer Engineering Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Voteteknika (Vocational Teknik Elektronika dan Informatika) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence JTET (Jurnal Teknik Elektro Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal SOLMA Jurnal Telematika Jurnal Teknologi Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Madaniya Jurnal Teknologi Informasi dan Komunikasi Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Pengabdian Teknologi Tepat Guna Jurnal Pengabdian Kepada Masyarakat (JPKM) Langit Biru Jurnal Nasional Teknik Elektro dan Teknologi Informasi JAMAIKA: Jurnal Abdi Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Journal of Applied Community Engagement (JACE) Pengabdian Jurnal Abdimas Hikmayo: Jurnal Pengabdian Masyarakat SmartComp Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT
Oman Somantri
Politeknik Negeri Cilacap
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English Learning Assistance Using Interactive Media for Children with Special Needs to Improve Growth and Development Wanti, Linda Perdana; Romadloni, Annisa; Somantri, Oman; Sari, Laura; Prasetya, Nur Wachid Adi; Johanna, Anne
Pengabdian: Jurnal Abdimas Vol. 1 No. 2 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.496 KB) | DOI: 10.55849/abdimas.v1i2.155

Abstract

Background. Children with special needs (ABK) are children who are in several ways different from other children in general. Among the crew members are Special Children (ALB), which consists of children who are blind, deaf, mentally retarded, quadriplegic, mentally disabled and double disabled. Some of the main things that need to be considered in the learning process for ALB are teachers, learning methods, learning approaches, infrastructure and learning support media (teaching aids). Purpose. The purpose of this community service activity is to solve the problems faced by partners in the English learning process, namely when a disorder results in disruption in daily functioning, especially in learning, the student requires special services (children with special educational needs) and requires specific learning methods in addition to appropriate and interactive learning media. Method. The solution offered to overcome this problem is the optimization of teaching methods. The recommended approach in the English language assistance activities for the Cilacap State Polytechnic PkM Team is in the form of prompts and demonstrations. Meanwhile, teaching English can use total physical response (TPR) by maximizing lip reading technique in addition to maximizing the use of flash cards to attract students' interest and focus. Results. The results obtained from this community service activity are increasing the ability of children with special needs to say a few simple words in English. The growth and development of children with special needs increase after the community service activities are completed. This is shown from the evaluation results carried out by the service team by conducting a post-test on ABK. Conclusion. To get significant results, namely increasing the growth and development of ABK, especially in the pronunciation of words in English, it is better if this activity is carried out regularly in the future.
Pengembangan Desa Digital Dengan Penerapan Sistem Informasi Kearsipan Untuk Meningkatkan Pelayanan Publik Pada Pemerintah Desa Banjarwaru Kecamatan Nusawungu Kabupaten Cilacap Santi Purwaningrum; Ratih Hafsarah Maharrani; Agus Susanto; Prih Diantono Abda'u; Muhammad Nur Faiz; Oman Somantri; Ari Kristiningsih; Khoeruddin Wittriansyah
JURNAL PENGABDIAN TEKNOLOGI TEPAT GUNA Vol 6 No 1 (2025): Teknologi Tepat Guna (TTG)
Publisher : Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47942/jpttg.v6i1.1925

Abstract

Pelayanan Publik yang efektif dan efisien menjadi salah satu tolak ukur masyarakat dalam menilai kinerja penemrintah daerah secara kasat mata. Pelayanan publik seperti pembuatan surat dan pencarian data arsip sangat berpengaruh terhadap kualitas layanan pada Kantor Desa Banjarwaru. Proses pengarsipan surat dan administrasi lainnya di Desa Banjarwaru saat ini belum terdigitalisasi dan terdokumensi dengan baik. Hal tersebut sering membuat terjadinya kesalahan dalam penyimpanan data surat masuk dan membutuhkan ruang yang cukup luas untuk menyimpannya, selain itu juga seringnya terjadi kesalahan dalam penulisan nomor surat keluar karena pencarian nomor surat terakhir masih dicari manual pada buku besar. Guna untuk mewujudkan visi dan misi Desa Banjarwaru, maka sangat diperlukan Penerapan Sistem Informasi Kearsipan untuk pengembangan Desa Digital. Sistem informasi arsip persuratan mempunyai tujuan mengubah metode penyimpanan surat atau administrasi lainnya dengan proses pengarsapan secara digital sehingga mengurangi penggunaan kertas dan lebih efektif dan akurat.
Perbandingan Metode Pembobotan Teks dari Algoritma Winnowing dan TF-IDF dikombinasikan Algoritma Cosine Similarity Santi Purwaningrum; Oman Somantri; Nur Wachid Adi Prasetya
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 12, No 4 (2024): Vol. 12, No 4, Desember 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v12i4.130627

Abstract

Tugas akhir di perguruan tinggi adalah syarat kelulusan untuk mendapatkan gelar sarjana atau ahli madya. Tingginya keinginan mahasiswa untuk segera lulus terkadang membuat mahasiswa melakukan tindakan plagiarisme. Plagiarisme adalah tindakan meniru dan mengutip bahkan menyalin atau mengakui hasil karya orang lain sebagai hasil karya dirinya sendiri. Penelitian ini bertujuan untuk mengembangkan sistem yang mendeteksi kesamaan antar dokumen teks berbahasa Indonesia dengan membandingkan dua metode pembobotan teks. Algoritma Winnowing dan TF-IDF adalah metode pembobotan teks yang dikombinasikan dengan metode Cosine Similarity. Cosine Similarity merupakan algoritma yang berfungsi untuk mencari nilai kesamaan antar dokumen dari hasil pembobotan algoritma winnowing dan TF-IDF. Hasil penelitian menunjukkan bahwa algoritma Winnowing memiliki nilai kesamaan rata-rata 66%, lebih tinggi dibandingkan TF-IDF yang hanya memiliki rata-rata 57%. Performa algoritma diukur menggunakan akurasi dan RMSE. Nilai akurasi pada algoritma Winnowing adalah 90.47% dan algoritma TF-IDF 81.84%. Nilai RMSE pada algoritma Winnowing sebesar 5,44 dan TF-IDF sebesar 5,34.Kata kunci : Winnowing, TF-IDF, Cosine Similarity.The final project at a higher education institution is a graduation requirement to obtain a bachelor's or associate degree. The strong desire of students to graduate quickly sometimes leads them to commit plagiarism. Plagiarism is the act of imitating, quoting, or even copying or acknowledging someone else's work as their own. This research aims to develop a system that detects similarities between Indonesian text documents by comparing two text weighting methods. The Winnowing and TF-IDF algorithms are text weighting methods combined with the cosine similarity method. Cosine similarity is an algorithm used to find the similarity value between documents based on the weighting results of the Winnowing and TF-IDF algorithms. The results of the study showed that the Winnowing algorithm had an average similarity value of 66%, higher than TF-IDF which only had an average of 57%. The performance of the algorithm uses measurements and RMSE. The algorithm's performance was measured using accuracy and RMSE. The accuracy value of the winnowing algorithm is 90.47% and the TF-IDF algorithm is 81.84%. The RMSE value of the Winnowing algorithm is 5.44 and TF-IDF is 5.34.Keywords: Winnowing, TF-IDF, Cosine Similarity. 
Optimisation of Criminal Data Clustering Model using Information Gain Diantono Abda’u, Prih; Maharrani, Ratih Hafsarah; Nur Faiz, Muhammad; Somantri, Oman
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2741

Abstract

Crime is a phenomenon that significantly impacts society, necessitating mapping efforts that can be utilized for further analysis. Clustering, as a data analysis technique, groups objects based on similarities or differences in their characteristics. This approach enhances the understanding of data by identifying patterns and relationships between criminal events, such as crime type, time, and location. By clustering crime data based on similar characteristics, authorities can make more effective and efficient decisions in crime prevention and control. However, selecting too many attributes can negatively affect clustering performance. To address this issue, this study applies Information Gain reduction to reduce data dimensionality by eliminating attributes with low informational contribution. Additionally, three clustering methods K-Medoid, K-Means, and X-Means are compared to evaluate their performance. The concept of Information Gain is also integrated to optimize cluster formation, measuring how much an attribute contributes to distinguishing objects within a cluster. By leveraging Information Gain, this study aims to identify the most relevant and influential attributes in forming clusters that accurately represent crime data characteristics. Furthermore, the number of clusters generated is evaluated using the Davies-Bouldin Index (DBI). The results indicate that the K-Means algorithm outperforms the other two methods, achieving the best clustering quality with an optimal number of clusters (k = 6) and the lowest DBI value.
Co-Authors Abdul Rohman Supriyono Abdul Rohman Supriyono Agus Susanto Agus Susanto Ali Sofyan Amir Hamzah Andesita Prihantara Annisa Romadloni Ari Kristiningsih Arif Wirawan Muhammad Ayu Pramita Catur Supriyanto Dairoh Dairoh Dairoh Dairoh, Dairoh Dany Artha Widiyanto Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Diantono Abda’u, Prih Dodi Satriawan Dwi Wahyu Susanti Dyah Apriliani Dyah Apriliani Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Eka Tripustikasari Erna Alimudin Evila Purwanti Sri Rahayu, Theresia Fadillah Fadillah Fadlilah, Ilma Faulin, Muhammad Husni Ganjar Ndaru Ikhtiagung Ginanjar Wiro Sasmito, Ginanjar Wiro Hety Dwi Astuti Ida Afriliana Ika Dewi Rozaurrohmah Iyat Ratna Komala Johanna, Anne Karyati, Titin Khoeruddin Wittriansyah Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wanti Linda Perdana Wanti Lutfi Syafirullah Maharrani, Ratih Hafsarah Mohammad Khambali, Mohammad Muchamad Sobri Sungkar, Muchamad Sobri Muhammad Nur Faiz Musyafa Al Farizi Nur Faiz, Muhammad Nur Wachid Adi Prasetya Nurlinda Ayu Triwuri Oto Prasadi Perdana Wanti, Linda Prih Diantono Abda`u Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Riyadi Purwanto Riyanto Riyanto Rohayah, Siti Santi Purwaningrum Santi Purwaningrum Sari, Laura Sasmito, Ginanjar Wiro Sena Wijayanto Taufiq Abidin Taufiq Abidin Taufiq Abidin, Taufiq Teguh Prihandoyo Titin Kartiyani Wanti, Linda Perdana Wildani Eko Nugroho Wildani Eko Nugroho, Wildani Eko Wiyono, Slamet Yeni Priatna Sari, Yeni Priatna