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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi INFORMAL: Informatics Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of New Media Technology Jurnal ULTIMATICS Jurnal ULTIMA Computing GERVASI: Jurnal Pengabdian kepada Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Unri Conference Series: Community Engagement Community Empowerment Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Info Kripto Jurnal Ilmiah Edutic : Pendidikan dan Informatika Proceedings Series of Educational Studies Majalah Pengabdian Indonesia Journal of Robotics, Automation, and Electronics Engineering Jurnal Media Informasi Teknologi Mekongga: Jurnal Pengabdian Masyarakat Media of Computer Science
Jayanti Yusmah Sari
Universitas Sembilanbelas November Kolaka
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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Designing an AI-Based Village Information System Using Research and Development Approach for Public Governance Modernization in Popalia Village Arafat, Arafat; Rasyid, Rasmiati; Hestiana, Sry; Rendi, Rendi; Bantun, Suharsono; Sari, Jayanti Yusmah
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5257

Abstract

The COVID-19 pandemic has highlighted the challenges faced by village administrations in managing public services that remain highly manual, inefficient, and prone to errors. This study aims to design an Artificial Intelligence (AI)-based Village Information System to improve administrative efficiency, accuracy, and accessibility. The research employs a Research and Development (R&D) approach through requirement analysis, system design, prototype development, integration of an AI Generative Model and a Natural Language Processing (NLP) chatbot, followed by functional testing using the Black-box method and usability evaluation with the System Usability Scale (SUS). The results show that functional testing achieved a 95% pass rate and the SUS evaluation scored 87.0, placing the system in the “Excellent” category. These findings indicate that the system effectively automates document creation, validates citizen data, and supports interactive services through an NLP-based chatbot. The study contributes to the modernization of digital village governance in Indonesia by demonstrating how AI integration can reduce administrative workload, minimize errors, and enhance service quality.
Biometrika Nirsentuh Berbasis Pengenalan Pembuluh Darah pada Telapak Tangan Menggunakan Wavelet dan Local Line Binary Pattern Sari, Jayanti Yusmah; Bantun, Suharsono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.4530

Abstract

To support the roadmap for coexistence with Covid-19, contactless biometrics is needed as an individual identity verification technology in daily activities such as control systems, recording attendance at offices/schools/agencies and access rights to a room. An example of contactless biometrics is palm vein-based biometrics. Because it is contactless, this biometric system does not require direct contact between the user and the sensor device, providing several advantages in terms of comfort during acquisition and is more hygienic. In the palm vein recognition system, the palm vein pattern can be considered as a texture feature. Therefore, this study proposes a contactless biometric system based on palm vein recognition using the Local Line Binary Pattern method to extract texture features of palm vein images resulting from the decomposition of the 2D Wavelet Transformation, so as to produce a small texture descriptor that is compatible with the texture characteristics of thin veins. The proposed texture feature extraction method has been tested using the fuzzy k-NN classification method on 600 palm images with a CRR accuracy of 95.0% with a computation time of 0.057 seconds.
Training on the Use of Report Application Based on Ms. Excel with Curriculum 2013 for Teachers of SDN 105 Kendari Sari, Jayanti Yusmah; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2024): November 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v1i2.192

Abstract

The implementation of the 2013 Curriculum (K-13) in elementary schools (SD) has brought significant changes to teachers' administrative activities, especially in filling out student report cards, which are now more complex compared to the previous curriculum. To facilitate the process of entering report card grades, teachers were provided with a report card application based on Microsoft Excel. However, at SDN 105 Kendari, most teachers encountered difficulties using the application due to limited technological knowledge, resulting in the report card process often being assisted by the school operator. To address this issue, the Faculty of Information Technology at Universitas Sembilanbelas November Kolaka organized training on the use of the K-13 report card application based on Microsoft Excel for the teachers at SDN 105 Kendari. The training was conducted in person, actively involving participants in each stage. The training covered an introduction to basic Microsoft Excel formulas and detailed use of the K-13 report card application. The results showed that the program ran smoothly and received positive feedback from the participants. It is hoped that the teachers will become more independent and efficient in filling out student report cards.
Mask Detection Using the YOLO (You Only Look Once) Method Andi, Ilham; Muchtar, Mutmainnah; Sari, Jayanti Yusmah
Jurnal Media Informasi Teknologi Vol. 1 No. 1 (2024): Februari 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v1i1.165

Abstract

The COVID-19 pandemic has emphasized the importance of wearing masks as a preventive measure. To facilitate mask detection and ensure compliance, computer vision techniques have been widely utilized. This research aims to develop a mask detection system using the YOLO (You Only Look Once) method. YOLO is a real-time object detection method that provides accurate and efficient results. The proposed system utilizes a pre-trained YOLO model trained on a dataset comprising images of individuals with and without masks. The YOLO model can detect and locate faces, as well as differentiate between individuals wearing masks and those who are not. The method works by dividing the image into a grid and predicting bounding boxes and class probabilities for each grid cell. This approach enables real-time mask detection with minimal computational overhead. Experimental evaluations were conducted using various relevant benchmark datasets. The evaluation results demonstrate that the mask detection system using the YOLO method achieves high detection rates and fast response times. This research is expected to contribute to the effort of monitoring mask usage to control the spread of COVID-19.
Site Suitability Analysis of Temporary Waste Storage in Desa Popalia Following the Development of USN Kolaka Campus Putri, Sarnita; Yuyun; Fajar, Wahida; Paisa; Wulandhany, Serly; Firka; Sasmita, Anggit; Sari, Jayanti Yusmah
Majalah Pengabdian Indonesia Vol. 2 No. 2 (2025): August 2025
Publisher : Teras Kampus as a member of PT Palem Edukasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/maindo.v2i2.567

Abstract

Desa Popalia, Kecamatan Tanggetada, Kabupaten Kolaka, has experienced an increase in solid waste generation due to the growth of educational activities, migrant settlements, and local economic development following the establishment of the second campus of Universitas Sembilanbelas November (USN) Kolaka. This condition has not been adequately supported by proper waste management facilities, particularly temporary waste storage site (Tempat Penampungan Sementara/TPS), which may lead to environmental and public health problems. This Community Service Program (PKM) aimed to analyze and recommend a suitable location for a TPS based on the environmental and social characteristics of Desa Popalia. The methods included field surveys, primary and secondary data collection, and site suitability analysis using a scoring approach based on environmental, technical-operational, social, and spatial criteria. The results indicate that one alternative location achieved the highest suitability score, as it met key criteria such as safe distance from residential areas, accessibility for waste transportation vehicles, land availability, and community acceptance. This PKM activity provides a technical recommendation for the village government in planning waste management infrastructure. The results are expected to support the development of a more structured, sustainable, and environmentally friendly village waste management system.
Integrating Color Segmentation and Texture Analysis for Citrus Leaf Disease Identification through K-Means and Local Binary Pattern Armin; Suharsono Bantun; Jayanti Yusmah Sari
Journal of Robotics, Automation, and Electronics Engineering Vol. 4 No. 1 (2026): March 2026
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v4i1.3827

Abstract

Early identification of citrus leaf diseases is important for reducing crop losses and supporting effective disease management. This study proposes a citrus leaf disease identification framework combining K-means color segmentation and Local Binary Pattern (LBP) texture analysis. The method was evaluated using 90 citrus leaf images from three disease classes: Citrus Canker, Leaf Miner, and Sooty Mold. Images were preprocessed through cropping, resizing, and color space transformation. K-means clustering in the Lab color space was used to segment diseased regions, while LBP extracted texture features. Classification was performed using Euclidean Distance and evaluated with 10-fold cross-validation. The K-means-based method achieved an average accuracy of 76.65%, while LBP alone obtained 45.65%. Combining K-means and LBP produced the best performance, with an average accuracy of 80.02%. These results indicate that integrating color and texture features provides a more effective representation of citrus leaf disease symptoms and improves classification performance.
Co-Authors A. Muhammad Idkhan Abdul Malik Abdullah Igo BD Adha Mashur Sajiah Agum Agidtama Gafar Agus Zainal Arifin Agustinus Suria Darme Amil A Ilham Andi Baso Kaswar Andi Baso Kaswar Andi, Ilham Arafat Arief Budiman Armin Aryadi Nurfalaq Asih Setiyorini Asih Setiyorini Aspian Achban Assagaf, Sayyed Auliani, Andi Nur Melly Bambang Pramono Bantun, Suharsono Chastine Fatichah Daiona, Abdullah Igo Baran Darme, Agustinus Suria Dewi Hastuti Dimas Febriyan Priambodo Eva Sapitra Fajar, Wahida Fandiansyah Fandiansyah Fandiansyah, Fandiansyah Firka Fransisca J Pontoh Hafidz Muhtar Hardianti Hardianti Hasnawati Munandar Henry Praherdhiono Hestiana, Sry Idkhan, A. Muhammad Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum Purnama Ika Putri Ningrum Indar Ismail Jamaluddin Ingrid Nurtanio Isnawaty Isnawaty Jayawarsa, A.A. Ketut La Ode Hasnuddin S. Sagala Linda Purnama Muri Luh Putu Ratna Sundari Mardianto Mardianto Mardianto Mardianto Moh La Andi Rais Imran Yatim Muarif, Amar Muh. Abdi Fahmi Muh. Ariyandhi Masalu Muhammad Mail Muhammad Naim Muhammad Nur Khidfi Muhammad Syaiful Muhammad Syaiful Muhtar, Hafidz Mutmainnah Muchtar Naim, Muhammad Nanik Suciati nina sularida limin Ningrum, Ika Purwanti Nirsal Nirsal Nirsal Noorhasanah Zainuddin Novriadi, Teguh Nur Fajriah Muchlis Nur Inzani Reski Amalia Nurfagra Nurfagra Nurfalaq, Aryadi Nurfitria Ningsi Paisa Phradiansah ., Phradiansah Punaji Setyosari Purnama, Ika Purwanti Ningrum Putri, Sarnita Qammaddin Qammaddin R, Ranir Aftar Rabiah Adawiyah Rahman, Faizal Jumain Rahmat Karim Ranir Atfar R Rapa, Wiwi Rasmiati Rasyid Rendi Rendi, Rendi Reski Surya Aristika Ricky Ramadhan Rina Rembah Risnayanti Risnayanti Rizal Adi Saputra Saida Ulfa Sari, Indri Purnama Sarimuddin, Sarimuddin Sartika Sari Sartika Sari Sasmita, Anggit Sehan, Sahara Selviani Selviani Suci Pricilia Lestari Suharsono Bantun Suharsono Bantun Suharsono Batun Suharsono Suhar Syaban, Kharis Syahrul Syahrul Syamsuddin Teguh Novriadi Wiwi Rapa Wulandhany, Serly Yuwanda Purnamasari Pasrun Yuyun