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All Journal Jurnal Informatika SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian UntukMu NegeRI Journal of Information Technology and Computer Science Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Journal of Information Technology and Computer Science (JOINTECS) Teknika: Engineering and Sains Journal Jurnal Sains dan Informatika Jurnal Ilmiah Soulmath : Jurnal Edukasi Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Pengabdian Masyarakat IPTEKS Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Journal of Computer System and Informatics (JoSYC) Indonesian Journal of Cultural and Community Development Indonesian Journal of Law and Economics Review Jurnal Penelitian Sekolah Tinggi Ilmu Kesehatan Nahdlatul Ulama Tuban Jurnal Teknik Informatika (JUTIF) Community Empowerment JPM: JURNAL PENGABDIAN MASYARAKAT KLIK: Kajian Ilmiah Informatika dan Komputer Proceedings Series on Physical & Formal Sciences Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Jurnal Algoritma Indonesian Journal of Islamic Studies Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) JOINCS (Journal of Informatics, Network, and Computer Science) Jurnal Penelitian Innovative Technologica: Methodical Research Journal PEDAMAS (Pengabdian Kepada Masyarakat) SAINTEK Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Internet and Software Engineering Prosiding Seminar Nasional Unimus Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Advances in Cancer Science Journal of Electrical Engineering Manajemen Pelayanan Kesehatan semanTIK IJHCS Smatika Jurnal : STIKI Informatika Jurnal Academia Open
Uce Indahyanti
Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
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OPTIMALISASI LAHAN SEMPIT UNTUK BUDIDAYA TANAMAN OBAT KELUARGA DAN PEMBUATAN KOMPOS DI DESA BLIGO KECAMATAN CANDI KAPUBATEN SIDOARJO Rahmawati, Yunianita; Farihah, Anis; Indahyanti, Uce
PEDAMAS (PENGABDIAN KEPADA MASYARAKAT) Vol. 3 No. 05 (2025): SEPTEMBER 2025
Publisher : MEDIA INOVASI PENDIDIKAN DAN PUBLIKASI

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

Abstract

Pengabdian masyarakat ini mengkaji pemanfaatan lahan sempit untuk budidaya Tanaman Obat Keluarga (TOGA) di Desa Bligo, Kecamatan Candi, Kabupaten Sidoarjo, yang memiliki keterbatasan lahan akibat tingginya kepadatan penduduk dan pembangunan infrastruktur. pengabdian masyarakat bertujuan memberikan solusi inovatif dengan memanfaatkan ruang sempit secara efektif melalui penanaman TOGA. Metode yang digunakan mencakup sosialisasi kepada masyarakat, pembuatan rak tanaman, tong komposer untuk pengolahan sampah organik, dan penanaman bibit TOGA dengan teknik vertikultur dan polibag. Hasil pengabdian masyarakat menunjukkan bahwa pemanfaatan lahan sempit ini tidak hanya meningkatkan kesadaran masyarakat mengenai pentingnya TOGA tetapi juga memberikan manfaat ekonomi dan kesehatan. Penanaman TOGA pada rak-rak di depan rumah warga mampu mengoptimalkan lahan terbatas sekaligus memperindah lingkungan. Evaluasi kegiatan menunjukkan keberhasilan dalam penerapan metode ini, dengan kendala yang dapat teratasi dan peningkatan partisipasi warga melalui pemberian penghargaan. Studi ini menyimpulkan bahwa pemanfaatan lahan sempit untuk TOGA memberikan dampak positif bagi masyarakat, terutama dalam aspek kesehatan dan lingkungan.
Pengembangan Game 2D “Cat Collection Coin” Berbasis Single Player Menggunakan Metode Finite State Machine untuk Manajemen State Karakter Awalludin, Krisna; Busono, Suhendro; Indahyanti, Uce; Rahmawati, Yunianita
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2424

Abstract

Penelitian ini bertujuan untuk mengembangkan game 2D berjudul "Cat Collection Coin" berbasis single player dengan mengimplementasikan metode Finite State Machine (FSM) untuk mengelola perilaku karakter secara sistematis. FSM memungkinkan setiap karakter dalam game memiliki transisi keadaan yang terstruktur, seperti diam, berjalan, melompat, dan menyerang, berdasarkan input pemain dan kondisi permainan. Game ini dikembangkan menggunakan Godot Engine, yang menyediakan dukungan optimal untuk pengembangan game 2D. Penelitian ini juga membahas bagaimana FSM diterapkan pada berbagai level permainan untuk menciptakan alur permainan yang responsif dan menantang. Hasil perancangan menunjukkan bahwa penggunaan FSM mampu meningkatkan modularitas logika permainan serta memberikan pengalaman bermain yang lebih dinamis. Implementasi ini menjadi solusi efektif dalam mengelola kompleksitas perilaku karakter pada game 2D berbasis single player.
Pemberdayaan Kelompok UMKM Terdampak Covid Melalui Pendampingan Ekonomi Kreatif Berbasis Teknologi Azizah, Nuril Lutvi; Indahyanti, Uce; Latifah, Fitri Nur; Sumadyo, Sasmito Bagus
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 5 No 2 (2021): Volume 5 Nomor 2 Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v5i2.15374

Abstract

Community dedication is carried out with the aim of increasing the sales turn over of cloth mask at the UMKM Tanjung which is related in the sales of goods or shops. The method used in this services activity is through partial assistance and training. Partial assistance is carried out by providing guidence and training to improve skills in making mask innovations into painting maks. Creative economy assistance is carried out by making technology-based painting masks. Masks are designed using the basic graphic design sketch application on masks, so mask sketches can be custom ordered according to the wishes of potential buyers. Painting mask can also be a differentiator from other masks that are sold in the market, thus masks have different characteristics from other masks sold in the market. The result obtained are an incrase in the selling value of painting mask and and an increase in skills in the group of UMKM Tanjung. It can be concluded that the mentoring and training activities receive positive responses from the group based on the result.
Enhancing Childrens Cognitive Abilities Through “Jelajah Alam” Apllication : Promoting Well-being Lely Ika Mariyati; Zaki Nur Fahmawati; Uce Indahyanti; Berlian Putri Pertiwi; Rolando Jordan Permana Putra
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v8i2.5680

Abstract

The use of technology in the early childhood learning process is rarely found despite the numerous benefits it offers. This study aimed to examine the effectiveness of the "Jelajah Alam" application in enhancing children's cognitive abilities. Research utilized quantitavive quasi-experimental : one sample pre-test post-test design. Research sample consisted of 19 kindergarten children selected through purposive sampling technique. Data measurement used was Nijmeegse Schoolbekwaamheids Testand Coloured Progressive Matrices Test. Data analysis use Wilcoxon signed-rank test. Findings revealed a significant difference between the pre-test and post-test score after implementing the "Jelajah Alam" application. Results indicated that the use of the application was effective in improving children's cognitive abilities. Results suggest that by playing “Jelajah Alam” application, enhance their cognitive ability based on their developmental phase. Result imply that by using technology, Parents and teacher have additional fun alternative to enhance their children cognitive ability.
Implementasi Convolutional Neural Network (CNN) Untuk Pengenalan Tulisan Tangan Aksara Bima Ahmad Angga Handoko; Mochamad Alfan Rosid; Uce Indahyanti
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1196

Abstract

Indonesia with its rich cultural diversity, certainly results in the existence of various languages in it. In the dialect of a region, there are letter symbols that represent the expression of the region's unique language. One example of a language that shows unique characteristics in its writing system is Bima, known as the Bima script. Bima script, or often referred to as Mbojo script, is a writing system traditionally used in the Bima region, located in West Nusa Tenggara Province. Bima script is still not widespread among the public, so it is important to preserve it as part of the cultural heritage of the Mbojo tribe. This research aims to train a computer to recognize Bima characters. The Convolutional Neural Network (CNN) method is used in this research to recognize Bima script handwriting. The dataset used consists of 2640 images of Bima script handwriting with 22 classes. The results showed a reliable performance of the CNN model, with an accuracy of 97,34%, precision 97,56%, recall 97,34%, and f1-score 97,31% on the test data.
Rancang Bangun Media Pembelajaran Multibahasa Berbasis Web Menggunakan Metode Rapid Application Development Firdausi Usqi Salsabilah; Uce Indahyanti; Suhendro Busono; Yulian Findawati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1772

Abstract

This study aims to develop a web-based multilingual language learning media using the Rapid Application Development (RAD) method. This system supports learning five languages, namely English, Mandarin, Russian, Arabic, and English, through various features such as material management, quizzes, lectures, language levels, and integration with Telegram groups. RAD is used to accelerate the development process by enabling active participation of users in all departments. This study found that web-based language learning media meets user needs and provides an interactive learning experience, collaboration, and personal learning. This media is also equipped with intuitive navigation and clear visuals. This study makes a significant contribution to the development of multilingual language learning media and is an effective solution to improve the quality of global language learning. The application of the RAD method is efficient and can be applied to system development. For broader development, analytical learning and integration with external platforms can improve system functionality.
Implementasi Internet of Things dalam Optimalisasi Pengolahan Limbah Tekstil Pada Kelompok Pemberdayaan Kesejahteraan Keluarga Mauliana, Metatia Intan; Indahyanti, Uce; Widodo, Edi
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2810

Abstract

The problem of waste, particularly textile waste, continues to increase in line with the growing trend of fast fashion and the lack of effective household waste management. Larangan Village, located in Candi Subdistrict, Sidoarjo, has great potential to develop a community-based waste management system through the active role of the PKK Larangan Mega Asri Women’s Group. This community service program aims to improve literacy, skills, and management of textile waste processing integrated with Internet of Things (IOT)-based technology. The implementation methods include socialization, skills training, technical assistance, monitoring, and evaluation of partner competency improvement. Based on the results of questionnaires completed by training participants, the textile waste processing training activities had a positive impact on improving participants’ knowledge, skills, and motivation. Each indicator aspect showed satisfactory results: knowledge (average score 4.60), skills (4.36), attitude, motivation, and sustainability (4.67), as well as program relevance and usefulness (4.70) on a five-point scale, with an overall average score of 4.56 or 91.20%. In addition, the application of technology through the “KLAMBIKU” IOT-based donation box innovation has strengthened the textile waste management system to become more efficient, integrated, and user-friendly. This technology enables real-time monitoring of box conditions, digital storage of donation data, and the provision of information on nearby donation locations to the community. Overall, this program demonstrates that the combination of skill-based education and the application of appropriate technology can serve as an innovative solution for community-based textile waste management.
Web Based Employee Attendance System Using RAD Method: Sistem Kehadiran Karyawan Berbasis Web Menggunakan Metode RAD Saesar Joko Pramono; Uce Indahyanti; Nuril Lutvi Azizah; Cindy Taurusta
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.2071

Abstract

General Background Online attendance systems have become essential in modern organizations to ensure efficient and accurate employee attendance management. Specific Background Conventional attendance methods are prone to errors and data manipulation, while existing digital systems still lack comprehensive features such as integrated monitoring and real-time validation. Knowledge Gap Many current solutions do not fully integrate location validation, facial verification, and real-time reporting within a single system to support transparent attendance management. Aims This study aims to design and develop a web-based employee attendance application using the Rapid Application Development method to provide a more comprehensive and flexible solution. Results The developed SarAbsensi system integrates GPS-based location validation, photo verification, and real-time data processing, achieving functionality of 81.2%, reliability of 77%, usability of 80.8%, and efficiency of 86%, with an overall score of 81.2% categorized as very good. Novelty The system combines multiple validation mechanisms and real-time reporting features within a RAD-based development framework to support transparent and structured attendance management. Implications The application supports accurate attendance recording, facilitates monitoring by administrators, and provides a structured basis for organizational decision-making related to employee attendance and performance. Keywords: Online Attendance, Rapid Application Development, Web System, Employee Monitoring, Real Time Validation Key Findings Highlight Integration of location and photo verification ensures valid attendance recording System usability and efficiency achieved high evaluation scores across testing aspects Real-time reporting supports structured monitoring by administrators
Revolutionizing Hospital IT Security through ISO 27001 Launched in Indonesia: Merevolusi Keamanan TI Rumah Sakit melalui ISO 27001 Diluncurkan di Indonesia Tasya Rafiiqa; Uce Indahyanti; Umi Khoirun Nisak
Academia Open Vol. 9 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.7052

Abstract

This study examines the security of the E-HOS System at RSUD Ibnu Sina Kab. Gresik, identifying critical threats and vulnerabilities, and offering mitigation strategies. Using qualitative methods, including interviews, observations, and documentation, data was collected from December 2022 to May 2023. The OCTAVE framework revealed 17 potential risk events, with user-related risks being the most significant, showing an RPN as high as 162 for access rights abuse. The study recommends implementing ISO 27001 controls—Access Control, Human Resource Security, and Communications Security—to enhance system security. These findings highlight the importance of robust IT security governance in healthcare settings. Highlight: Critical Risks: 17 events, highest risk in user access rights abuse. Methodology: Used OCTAVE framework, interviews, observations, documentation. Recommendations: Implement ISO 27001 controls: Access Control, HR Security, Communications Security. Keyword: E-HOS System, SIMRS security, OCTAVE method, risk assessment, ISO 27001
Sentiment Analysis of Potential Presidential Candidates 2024: A Twitter-Based Study: Analisis Sentimen Calon Presiden Potensial 2024: Sebuah Studi Berbasis Twitter Yulian Findawati; Uce Indahyanti; Yunianita Rahmawati; Ratih Puspitasari
Academia Open Vol. 8 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.7138

Abstract

This study aims to analyze the sentiment towards potential presidential candidates for the 2024 election in Indonesia based on Twitter users' opinions. Three prominent figures, Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto, were surveyed to gauge their electability. Using machine learning classification methods, Support Vector Machine, Bernoulli Naïve Bayes, and Logistic Regression, sentiment classification was performed. The findings indicate that Twitter users expressed predominantly positive sentiments towards each potential candidate. The evaluation of the classification algorithms showed SVM with 84% accuracy, Bernoulli Naïve Bayes with 77%, and Logistic Regression with 84%. This research sheds light on public sentiment towards potential leaders, offering valuable insights for political strategists and decision-makers in shaping effective election campaigns. Highlight: Sentiment Analysis: The study employs machine learning techniques to analyze the sentiments expressed by Twitter users towards potential presidential candidates for the 2024 election in Indonesia. Positive Sentiments: The findings reveal that Twitter users predominantly exhibit positive sentiments towards all three potential candidates, Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto. Election Insights: This research provides valuable insights into public sentiment, offering valuable information for political strategists and decision-makers in devising effective election campaigns for the upcoming presidential election. Keyword: Sentiment Analysis, Twitter Users, Potential Presidential Candidates, Machine Learning, Election 2024
Co-Authors Abidin, Husnul Ade Eviyanti Adiffanani Ramdansyah Aditya, M. Fahrul Rizki Afidah, Dewi Nur Agung Izulhaq Ahmad Angga Handoko Aisha Hanif Alfinda Ayu Hadikasari Alfitra Oktavian Anis Farihah Ariansyah, Achmad Arif Senja Fitrani Arif Senja Fitroni Aris Hendra Prayoga Awalludin, Krisna Azizah, Risma Nur Azmuri Wahyu Azinar Berlian Putri Pertiwi Brigide Tirenia Loresta Cecep Kusmana Cholifah, Cholifah Cholifah, Cholifah Cindy Cahyaning Astuti Dafit Setiawan Jaya Damasta, Ifanda Reza Deby Kurniawan Armananda Dewi Komala Sari Diah Krisnaningsih Edi Widodo, Edi Eko Agus Suprayitno Eriyanto, Sandi Eko Evi Rinata Fahmawati, Zaki Nur Fahmi, M. Yusril Fery Febbyanto Firdausi Usqi Salsabilah Firmansah, Noval Fitri Nur Latifah Fitroni, Arif Senja Hadikasari, Alfinda Ayu Hamzah Setiawan Ika Ratna Indra Astutik Indah Suci Purnamasari Irwan A. Kautsar Irwan Alnarus Alkautsar Irwan Alnarus Kautsar Khubro, Jamaluddin Jumadil Krisfianto, Moh Ifan Kurniawan, Wildan Lely Ika Mariyati Lily Puspa Dewi M Cholis Afandi Maghfiroh, Alfiah Mahelda Asri Sudarsono Malihatin S, Ulfah Metatia Intan Mauliana Moch. Aji Bagus Firmansyah Mochamad Alfan Rosid Mochamad Alfan Rosid Mochammad Donni Kurniawan Mochammad Septa Sandy mochammad zien rifqi zien Muhammad Arsyad Dhani Muhammad Sulthon Abiyyu Muhammad Syamsuddin Novia Ariyanti Nuril Lutvi Azizah Nuril Lutvi Azizah Pertiwi, Berlian Putri Prayugah, Indra Putra, Rolando Jordan Permana Rafiiqa, Tasya Ratih Puspitasari Rizka Hadiwiyanti Rohman Dijaya Rolando Jordan Permana Putra Saesar Joko Pramono Siti Nur Haliza Suhendro Busono Sukarjadi Sukarjadi Sukma Aji Sumadyo, Sasmito Bagus Sumarno Sumarno Sumarno Sumarno Suryani, Siti Dwi Suseno Ardiansyah Syahrul Ibnu Rafi Tasya Rafiiqa Taurusta, Cindy Tutut Anjarsari Umi Khoirun Nisak Usabili, Syaikhina Veros Ariferdinand Vevy Liansari via nabila banda Wahyu Santoso Yahya Anugerah Dwi Khurrota A'yunan Yoyok Supriyono Yulian Findawati Yulius Hari Yunianita Rahmawati Yuwanto, Mahmud Adi Zamorano, Ifan