Judul: Design of Purwoceng Plant Growth Monitoring Systems in Mini Plant Factory Based on Machine Vision
Abstrak: Purwoceng adalah tanaman obat yang dikategorikan hampir punah karena langkanya budi daya dan lahan yang sesuai untuk budi daya purwoceng. Upaya pelestarian dan peningkatan tanaman purwoceng dilakukan dengan budi daya di mini plant factory yang menerapkan monitoring pertumbuhan tanaman berbasis machine vision agar pertumbuhan tanaman dapat terpantau dengan baik. Tujuan penelitian ini adalah merancang sebuah sistem pemantauan pertumbuhan tanaman yang mampu memantau perkembangan keragaan tanaman purwoceng dilihat dari parameter total luas daun dan kadar kehijauan daun di mini plant factory berbasis machine vision. Tahapan penelitian ini mengacu pada metode System Development Life Cycle (SDLC) yang terdiri dari investigasi sistem, analisis sistem, desain sistem, implementasi sistem dan pengujian sistem. Program total luas daun pada sistem ini memiliki tingkat error sebesar 42,69% dan setelah dikalibrasi menjadi sebesar 6,82%. Program kadar kehijauan daun diperoleh dari nilai rataan green pada citra daun untuk mengetahui kepekatan kadar warna hijau pada daun. Berdasarkan pemantauan tanaman purwoceng pada 100-112 HSPT melalui data total luas daun dan kadar kehijauan daun, sistem ini terbukti mampu memberikan informasi pertumbuhan tanaman yang tidak normal secara akurat., Purwoceng is a medicinal plant that is categorized as endangered due to the scarcity of cultivation and suitable land for purwoceng. Efforts to preserve and improve purwoceng plants carried out by cultivate them in mini plant factory that implements machine vision-based plant growth monitoring so that purwoceng growth can be monitored properly. The purpose of this research is to design a plant growth monitoring system that can monitor the purwoceng appearance in the from of total leaf area and leaf greenness based on machine vision in mini plant factory. The stages of this research refer to the System Development Life Cycle (SDLC) method that consists of system investigation, system analysis, system design, system implementation and system testing. Total leaf area program in this system has an error rate of 42.69% and after being calibrated it becomes 6.82%. The leaf greenness program is obtained from the average value of green in the leaf image to determine the concentration of green color in the leaves. Based on the monitoring of purwoceng plants at 100-112 HSPT through data on total leaf area and leaf greenness, this system was proven to be able to provide accurate information on abnormal plant growth.
Keyword: leaf greenness, machine vision, monitoring system, purwoceng,, total leaf area

Judul: Rancang Bangun Sistem Informasi Parameter Lingkungan Mikro Untuk Budidaya Tanaman Purwoceng Pada Lingkungan Terkendali
Abstrak: Tanaman purwoceng merupakan tanaman obat asli Indonesia yang dikategorikan hampir punah. Upaya penanaman di banyak lingkungan terkendali perlu dilakukan guna menunjang pertumbuhan tanaman secara optimal. Budidaya di lingkungan terkendali perlu sistem informasi peminimalisasi resiko kegagalan pada proses budidaya purwoceng. Tujuan dari penelitian ini adalah merancang sistem monitoring parameter microclimate dan sistem informasi yang dapat memantau kondisi lingkungan pada berbagai lokasi (smart greenhouse dan plant factory), serta mengembangkan sistem informasi yang dapat dijalankan pada berbagai perangkat akses, browser engine dan sistem operasi. Sistem monitoring pada plant factory mengacu pada metode system development life cycle (SDLC) yang terdiri dari tahap analisis, desain, implementasi dan pengujian. Hasil penelitian ini adalah halaman website dengan tampilan data parameter microclimate yang terdiri dari suhu, kelembaban udara, intensitas cahaya, dan kelembaban media tanam dan pemantauan pertumbuhan tanaman berupa luasan dan rataan kehijauan daun. Data hasil pemantauan parameter microclimate ditampilkan secara real time, continue, dan historical dalam bentuk tampilan grafik, tabel, gambar dan tulisan. Hasil pengujian kinerja sistem dengan metode SUS (System Usability Scale) sebesar 81,875 yang menunjukkan bahwa sistem dalam penelitian ini tergolong ke dalam grade B atau excellent. Tingkat keterimaan berdasarkan nilai pengujian diatas 75 tergolong dapat diterima oleh user., Purwoceng is a medicinal plant native to Indonesia that is categorized as endangered. Efforts to cultivate in many controlled environments need to support optimal purwoceng growth. Cultivation in controlled environment needs information system that can minimizes risk of failure in cultivation of purwoceng. The purpose of this research is to design a microclimate parameter monitoring and information system that can monitor environmental conditions at various locations (smart greenhouse and plant factory), and also develop information system that can be run on various access devices, browser engines and operating systems. The monitoring system refers to the system development life cycle (SDLC) method that consists of analysis, design, implementation and testing stages. Results of this research is website page with display of microclimate parameter data consist of temperature, humidity, light intensity, and soil moisture and monitoring purwoceng growth in leaf area and leaf greenness. Monitoring microclimate data displayed in real-time, continuously, and historically on graphs, tables, images and text. Results from system testing using SUS (System Usability Scale) method is 81,875 that indicates system in this research belongs to grade B or excellent. The level of acceptance based on the test value above 75 is classified as acceptable by the user.
Keyword: microclimate, plant factory, purwoceng, smart greenhouse, system information

Judul: Pengaruh Pairing pada Isotop Sn dengan Menggunakan Pemodelan Sembilan Tingkat Energi
Abstrak: Formation of the neutron-rich tin isotopes (Sn isotopes) is the one of the interesting topics in the field of nuclear reaction, especially regarding the stability of the heavy nuclei. Calculations of total energy using the BCS approach using five energy levels can only calculate the total energy up to Sn50132. On the other hand, the experiment continues and has exceeded the formation of isotopes. Therefore, there is need for a new model to accomadate more neutrons. In this research, Sn isotopes is modelled using nine energy levels and constant interaction potential to explain the pairing phenomenon up to Sn50154. However, to obtain more accurate results, other methods to minimize the differences with the experimental results are clearly needed here.
Keyword: