Article Per Year (5 Year)
p-Index From 2021 - 2026
2.133
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi Journal of Computer Science and Informatics Engineering Jurnal Teknik Informatika dan Desain Komunikasi Visual Journal of Innovative and Creativity Jurnal Pengabdian Kepada Masyarakat Indonesia
Yuni Handayani
Universitas Selamat Sri
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Mapping Leading Commodities of Community Forest Plantations Based on Productivity Using the K-Means Clustering Algorithm Taufik Hidayat; Yuni Handayani; Muhammad Khozin; Tri Muji Waluyo; Dian Novitaningrum; Tresi Aprilia; Muchamad Achsin Samas
Journal of Computer Science and Informatics Engineering Vol 5 No 3 (2026): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i3.1797

Abstract

Kendal Regency has significant potential in community forest plantations, which contribute to the regional economy. However, the mapping of leading commodities based on productivity has not been conducted optimally. This study aims to map leading community forest plantation commodities using the K-Means Clustering algorithm. The novelty of this study lies in the application of the K-Means Clustering algorithm by integrating land area and production volume as the basis for mapping leading commodities at the regency level. Secondary data from the Central Bureau of Statistics of Kendal Regency for the 2019–2023 period, covering seven community forest plantation commodities, were used. The research stages included data preprocessing using Min-Max normalization, clustering into three clusters using the K-Means algorithm, and cluster evaluation employing the Within-Cluster Sum of Squares (WCSS). The results show that the K-Means algorithm successfully grouped the commodities into three clusters based on their productivity characteristics. Sugarcane formed a distinct cluster as the leading commodity due to its highest productivity despite its relatively small cultivation area. These findings provide data-driven insights to support decision-making for the development of community forest plantations in Kendal Regency
Aplikasi Pendaftaran Online Poliklinik Di Rumah Sakit Karomah Holistic Berbasis Android M. Arief Kurniawan; Yuni Handayani; Muhammad Khozin
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3272

Abstract

Karomah Holistic Hospital is a healthcare facility committed to providing high-quality and efficient medical services to the community. To enhance patient convenience in accessing healthcare services, an Android-based outpatient registration application has been developed. This application enables patients to register online, reduce physical queues, and provide more structured information regarding doctor schedules, room availability, and laboratory and radiology test results. The development of this application utilized the Waterfall method, which includes the stages of requirement analysis, design, implementation, testing, and maintenance. The application was developed using the Kotlin programming language with Jetpack Compose as the user interface framework and supported by WorkManager to manage the delivery of appointment reminder notifications. User Acceptance Testing of the application demonstrated that it is easy for patients to use and helps them access healthcare services more quickly and conveniently. With this application, it is hoped that patients will experience more efficient and comfortable service at Karomah Holistic Hospital.Keywords: Clinic registration; Android; Jetpack compose; Workmanager; Waterfall AbstrakRumah Sakit Karomah Holistic adalah fasilitas layanan Kesehatan yang berkomitmen untuk memberikan pelayanan medis yang berkualitas dan efisien kepada masyarakat. Untuk meningkatkan kemudahan pasien dalam mengakses layanan kesehatan, dikembangkan aplikasi pendaftaran poliklinik berbasis Android. Aplikasi ini memungkinkan pasien untuk melakukan pendaftaran secara online, mengurangi antrean fisik, serta memberikan informasi yang lebih terstruktur terkait jadwal dokter, ketersediaan kamar, dan hasil pemeriksaan laboratorium maupun radiologi. Pengembangan aplikasi ini menggunakan metode Waterfall, yang mencakup tahap analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Aplikasi dikembangkan dengan bahasa pemrograman Kotlin menggunakan Jetpack Compose sebagai framework antarmuka pengguna, serta didukung oleh WorkManager untuk mengatur pengiriman notifikasi pengingat jadwal pemeriksaan. Pengujian aplikasi menggunakan metode User Acceptance Test menunjukkan bahwa aplikasi ini mudah digunakan oleh pasien dan membantu mereka dalam mengakses layanan kesehatan secara lebih cepat dan praktis. Dengan adanya aplikasi ini, diharapkan pasien dapat merasakan pengalaman layanan yang lebih efisien dan nyaman di Rumah Sakit Karomah Holistic. 
Co-Authors Bagus Aji Pradana Darnis, Rahmi Derry Setiawan Dian Novitaningrum Hanif Arruhama Ismail, Abdul Rahman M. Arief Kurniawan Muchamad Achsin Samas Muhammad Khozin Taufik hidayat To Adn Siroj Tresi Aprilia Tri Muji Waluyo