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All Journal Jurnal Kajian Ilmiah Jurnal Ilmu Siber dan Teknologi Digital
Sari , Wahyuni Eka
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Social Sciences Other

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Sistem Pakar Diagnosis Hama Penyakit Tanaman Jeruk Keprok Borneo Prima (Citrus Reticulata) Dengan Fuzzy Tsukamoto Sari , Wahyuni Eka; Franz, Annafi; Valentine, Nikita
Jurnal Kajian Ilmiah Vol. 22 No. 3 (2022): September 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/frb32t79

Abstract

Borneo Prima Citrus is a monoculture commodity that is susceptible to pests or diseases. The role of an expert is constrained by the fact that expert knowledge is not well documented, the detection process is still manual and expensive, and the distance between agricultural extension workers and plantation sites is far. This problem can be solved by an expert system. The Fuzzy-Tsukamoto method is suitable for solving citrus disease diagnosis problems which have many rules with several symptoms that can represent several diseases. Fuzzy Tsukamoto applies monotonous reasoning to each rule. In the Tsukamoto method the system consists of several rules. Because it uses the basic concept of monotonous reasoning, in Fuzzy-Tsukamoto's method, every consequence of the IF-THEN rule is represented by a fuzzy set on a monotonic membership function. There were 13 citrus trees indicated to be infected with the disease, which was observed from 500 trees. The accuracy of the results obtained between the expert system and expert knowledge is 84% of 13 diseases and 36 symptoms. The result shows that there are two diseases that are not suitable and 11 diseases according to experts.
Aplikasi Web Sistem Irigasi dan Monitoring Lahan Reklamasi Bekas Tambang Batubara Fattah, Nazar Abdul; Sari , Wahyuni Eka; Irwansyah, Irwansyah
Jurnal Ilmu Siber dan Teknologi Digital Vol. 3 No. 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v3i2.5393

Abstract

Purpose: This study develops a web application for PT Insani Baraperkasa to streamline vegetation management on post-reclamation mining land. The system enhances efficiency via real-time monitoring, automated scheduling for irrigation and fertilization, and integrated Internet of Things (IoT) device control. Methodology/approach: Built on the Waterfall model, the system uses a Laravel backend, Vue.js frontend, and MySQL with MQTT for IoT communication. As a foundational study, validation focused on core functionality using white-box (PHPUnit) and black-box (Postman) testing to verify logic and API integrity. This approach covered all 25 application endpoints, ensuring comprehensive functional for the initial development phase. Results/findings: Backend stability was validated by 25 successful endpoint tests, executing in 2.61s (PHPUnit) and 4.242s (Postman). Real-time IoT communication via MQTT proved highly responsive with low average latencies (7ms native; 89ms WebSocket), ensuring effective remote monitoring and control. Conlusion: The research has successfully developed a centralized digital tool that optimizes vegetation maintenance. The application enhances operational efficiency for PT Insani Baraperkasa and improving the consistency of environmental management. Limitations: The scope was confined to the development of a bespoke web application, not commercialization. Consequently, it lacks a multi-tenant architecture and a native mobile app. Further evaluations, such as load and usability testing, were considered beyond the scope of this initial development phase. Contribution: This study contributes a functional and reliable IoT-based application for enhancing vegetation maintenance at PT Insani Baraperkasa. The successful deployment serves as a practical, scalable proof-of-concept, demonstrating the effectiveness of digital tools in managing post-reclamation land.
Co-Authors annafi franz, annafi Fattah, Nazar Abdul Irwansyah Irwansyah Valentine, Nikita