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All Journal Bulletin of Electrical Engineering and Informatics JUTI: Jurnal Ilmiah Teknologi Informasi Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding International Conference on Information Technology and Business Jurnal Informatika dan Teknik Elektro Terapan International conference on Information Technology and Business (ICITB) JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Indonesian Journal of Artificial Intelligence and Data Mining SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Antivirus : Jurnal Ilmiah Teknik Informatika JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Journal of Information Systems and Informatics Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jifosi Nusantara Science and Technology Proceedings Jurnal Ilmiah Teknologi Informasi dan Robotika Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Sewagati Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Yisti Vita Via
Universitas Pembangunan Nasional Veteran Jawa Timur
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Implementasi Modified K-Nearest Neighbor (MKNN) untuk Deteksi Penyakit Anemia Putra Dwi Wira Gardha Yuniahans; Anggraini Puspita Sari; Yisti Vita Via
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.13425

Abstract

Anemia is a condition where the hemoglobin level in the human body drops below the normal threshold. It can cause several negative effects, such as delayed psychomotor development, a higher risk of infectious diseases, and in women, the possibility of premature birth. Therefore, early detection of anemia is essential to speed up treatment and recovery. One method that can support the diagnostic process is machine learning, particularly the Modified K-Nearest Neighbor (MKNN) algorithm. MKNN is an improved of standard KNN, incorporating additional steps such as validity calculation and weighted voting, which are not present in the original version. In this study, MKNN was applied to detect anemia and achieved an accuracy of 84% using a 75:25 train-test data split and k=5. The dataset was collected from Jemursari Hospital in Surabaya, consisting of 100 patient records. These records were used to evaluate the performance of the MKNN algorithm in anemia detection.
Pemanfaatan teknologi digital untuk pemberdayaan UMKM melalui pemanfaatan website di BUMDes Langgeng Jaya Nganjuk Maulana, Hendra; Kartika, Dhian Satri Yudha; Via, Yisti Vita; Atasa, Dita; Fitri, Anivea Fachmi Nur
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 1 (2026): February
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i1.35917

Abstract

Abstrak Kegiatan pengabdian masyarakat ini dilaksanakan untuk mendukung transformasi digital bagi pelaku UMKM di bawah naungan BUMDes Langgeng Jaya, Desa Gempol, Kabupaten Nganjuk. Fokus utama kegiatan ini adalah pengembangan dan pelatihan pengelolaan website sebagai sarana promosi dan pemasaran produk lokal, seperti kerajinan tangan, hasil pertanian, dan makanan olahan. Program ini dilaksanakan melalui empat tahapan, yaitu identifikasi kebutuhan, perancangan website, pelatihan literasi digital, serta evaluasi hasil kegiatan. Website yang dikembangkan berfungsi menampilkan katalog produk, profil pengrajin, informasi harga, dan kontak pemesanan agar mampu menjangkau pasar yang lebih luas. Pelatihan diikuti oleh 30 peserta yang terdiri atas pengurus BUMDes, perwakilan kelurahan, dan pelaku UMKM. Hasil evaluasi yang menggunakan pengukuran pemahaman sebelum dan sesudah pemaparan menunjukkan peningkatan signifikan dalam pemahaman digital, dengan nilai rata-rata peserta meningkat dari 5,6 pada pre-test menjadi 9,2 pada post-test. Capaian ini menegaskan bahwa pelatihan berjalan efektif dalam meningkatkan kemampuan peserta dalam pengelolaan website dan strategi pemasaran digital. Melalui kegiatan ini, diharapkan pelaku UMKM Desa Gempol mampu memanfaatkan teknologi secara mandiri untuk memperkuat daya saing, memperluas jangkauan pasar, serta mendorong keberlanjutan ekonomi desa di era digital. Kata kunci: digital marketing; digital transformation; community empowerment; msmes; website development. Abstract This community service activity is carried out to support digital transformation for MSME actors under the management of BUMDes Langgeng Jaya, Gempol Village, Nganjuk Regency. The main focus of this activity is the development and training of website management as a means to promote and market local products, such as handicrafts, agricultural products, and processed foods. The program is implemented through four stages: needs identification, website design, digital literacy training, and activity evaluation. The developed website functions to display product catalogs, artisan profiles, pricing information, and order contact details, enabling it to reach a wider market. The training was attended by 30 participants, including BUMDes administrators, village representatives, and MSME actors. Evaluation using pre-test and post-test measurements shows a significant increase in digital understanding, with the participants’ average score rising from 5.6 in the pre-test to 9.2 in the post-test. These results confirm that the training effectively improves participants’ skills in website management and digital marketing strategies. Through this activity, it is expected that MSME actors in Gempol Village can independently utilize technology to strengthen competitiveness, expand market reach, and promote the sustainability of the village economy in the digital era. Keywords: community empowerment; digital marketing; digital transformation; msmes; website development.
Deteksi Cyberbullying Pada Teks Bilingual Menggunakan Bidirectional Long Short-Term Memory Mochammad Daffa Faiq Husin Syahputra; Anggraini Puspita Sari; Yisti Vita Via
BETRIK Vol. 17 No. 02 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/2r7vry78

Abstract

The increasing use of social media not only provides various benefits but also contributes to the spread of cyberbullying. Detecting cyberbullying on social media is challenging because users frequently communicate in Indonesian, English, or a combination of both languages. In addition, previous studies have generally focused on detecting cyberbullying in a single language, limiting their ability to accommodate the characteristics of bilingual text. This limitation may lead to failures in detecting cyberbullying comments accurately and promptly, potentially causing psychological harm to victims. Therefore, an automated detection system capable of understanding the characteristics of bilingual text is needed. This study aims to develop a BiLSTM model for detecting cyberbullying in Indonesian and English texts. A bilingual dataset consisting of 21,308 Indonesian and English text samples was used to train the BiLSTM model. The experimental results show that the choice of optimizer affects model performance, with RMSProp outperforming Adam and SGD, achieving an accuracy of 96.01%, a precision of 96.03%, a recall of 96.01%, and an F1-score of 96.01%. These results demonstrate that the BiLSTM model with the RMSProp optimizer is effective for detecting cyberbullying in bilingual Indonesian and English texts.
Co-Authors Affandi, Masfi Ulil Akbar, Fawwaz Ali Alfath Daryl Alhajir Andreas Nugroho Sihananto Anggraini Puspita Sari Budi Nugroho Dhian Satria Yudha Kartika Dita Atasa Diyasa, I Gede Susrama Mas Eka Prakarsa Mandyartha Eva Yulia Puspaningrum Fetty Tri Anggraeny Fitri, Anivea Fachmi Nur I Gede Susrama Mas Diyasa Intan Yuniar Purbasari, Intan Yuniar Isnaini, Frisda Dita Kartika, Dhian Satri Yudha Matondang, Natalia Maulana, Hendra Maulana, Raihan Thobie Nabil Miftahul Nuril Silviyah Mochammad Daffa Faiq Husin Syahputra Muhammad Muharrom Al Haromainy Natalia Matondang Nurlaili, Afina Lina Pande Putu Sunaryang Yogam Prasanta Prayoga, Aji Putra Dwi Wira Gardha Yuniahans Retno Mumpuni Sadewa, Rahma Danu SALAMUN ROHMAN NUDIN Saputra, Dewa Raka Krisna Sari, Nabella Permata Shodiq, Mochammad Lukman Sufi Miftakhoneki SUGIARTO - Sujayanti, Forentina Kerti Pratiwi Syahrul Hidayat Tataq Distasianto Teguh Yulianto, Teguh Utami, Hapsari Wiji Wahyu Saifullah Jauharis Saputra Wahyu Syaifullah Jauharis Saputra Wijaya, Pandu Ali Yana, Baktiar Yudha Yudha K., Dhian Satria ZAMAZANI, ZAIN MUZADID