Judul: Development of Frontend Module Feature on Spatial Decision Support System for Garlic Land Suitability
Abstrak: Evaluasi kesesuaian lahan untuk penanaman bawang putih sangat penting dilakukan guna meningkatkan produksi bawang putih. Penelitian ini bertujuan untuk mengembangkan modul frontend Agroecological Assessment of Land Suitability for Garlic (INA-Agro Garlic) menggunakan metode prototyping dengan beberapa tahapan, seperti komunikasi, perancangan cepat, pemodelan perancangan cepat, pembuatan prototipe, serta penyebaran dan umpan balik. Penelitian ini berhasil mengembangkan modul frontend INA-Agro Garlic yang ditandai dengan berhasilnya pengembangan fitur dashboard untuk manajemen pengguna, pengembangan peta kesesuaian lahan yang dapat menampilkan kelas kesesuaian lahan dalam bentuk marker dan poligon, serta implementasi faktor lama penyinaran sinar matahari per harinya pada penilaian kesesuaian lahan bawang putih. Pengujian sistem menggunakan metode blackbox testing telah memenuhi ekspetasi. Pengujian perhitungan kelas kesesuaian lahan dengan membandingkan hasil perhitungan kelas kesesuaian lahan secara manual dan hasil perhitungan kelas kesesuaian lahan menggunakan INA-Agro Garlic juga telah memenuhi ekspetasi., The evaluation of land suitability for garlic cultivation is crucial in order to enhance garlic production. This research aims to develop the frontend module of the Agroecological Assessment of Land Suitability for Garlic (INA-Agro Garlic) using the Prototyping method, which involves several stages such as communication, quick plan, modeling quick design, construction of prototype, and deployment, delivery, and feedback. This research successfully developed the frontend module of INA-Agro Garlic, characterized by the successful development of a dashboard feature for user management, the creation of a land suitability map that can display land suitability classes in the form of markers and polygons, and the implementation of the daily sunlight irradiation factor in garlic land suitability assessment. The system testing using black box testing method has met the expectations. The testing of land suitability class calculations by comparing the manually calculated land suitability class results with those obtained from INAAgro Garlic has also met the expectations.
Keyword: bawang putih, modul frontend, sistem pendukung keputusan spasial, frontend module, garlic, spatial decision support system

Judul: Development of Backend Module on Garlic Land Suitability Spatial Decision Support System
Abstrak: Bawang putih merupakan salah satu komoditas hortikultura yang memiliki beragam manfaat dan banyak dikonsumsi. Permasalahan dalam meningkatkan produksi bawang putih bermutu adalah sulitnya menentukan lahan yang sesuai, karena bawang putih tidak dapat tumbuh di sembarang tempat. Lahan yang tidak sesuai mengakibatkan pertumbuhan tanaman bawang putih tidak optimal sehingga menurunkan angka produktivitas bawang putih. Penelitian ini bertujuan untuk pengembangan modul backend dari sistem pendukung keputusan spasial sebagai inovasi teknologi untuk mengevaluasi kesesuaian lahan serta menampilkan visualisasi data hasil evaluasi dalam bentuk gambar atau peta. Sistem dikembangkan dengan menggunakan framework Express.js dan basis data PostgreSQL dalam pembuatan REST API, serta metode Prototyping sebagai metode pengembangannya. Penelitian ini mengembangkan module backend untuk penentuan penanaman lahan bawang putih yang telah menghasilkan 12 URI API dan 1 scheduler yang telah berhasil diuji dengan menggunakan metode blackbox testing, Garlic is one of the horticultural commodities that has various benefits and widely consumed. The problem faced when you want to increase the production of qualified garlic is the difficulty of determining the appropriate land, because garlic cannot just grow anywhere. The inappropriateness of the land used will result in the suboptimal growth of garlic plants and reducing the productivity. This study focuses on the development of the backend module of a spatial decision support system as a technological innovation to evaluate the suitability of garlic land and display the visualization of the evaluation data in images or maps. The system is developed using the Express.js framework and PostgreSQL database in making the REST API, and also the Prototyping method as the development method. This study develops a backend module for determining garlic plantations which has produced 12 API URIs and 1 scheduler that has been successfully tested using the blackbox testing method
Keyword: backend, garlic, land suitability evaluation, REST API, spatial decision support system

Judul: Asymptotic Distribution of Estimator for the Intensity Function of a Doubly Periodic Poisson Process
Abstrak: In this manuscript, estimation of the intensity function of a doubly periodic Poisson process is discussed. It is assumed that only a single realization of the Poisson process is observed in a bounded window [0,n]. It is also assumed that the period of the intensity function is known. The rate of consistency and asymptotic normality of the estimator are formulated. Finally, a confidence interval for the local intensity function is also formulated.
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