Judul: Optimalisasi Backend Monitoring Kolam
Budidaya Udang Berbasis Water Quality Monitoring and Controlling System.
Abstrak: Limbah pencemar air yang memenuhi standar kualitas menjadi tujuan penting untuk meningkatkan produksi budidaya udang super intensif. Dalam upaya mengurangi beban limbah dan juga memenuhi pedoman umum pembesaran udang, maka dirancang suatu Instalasi Pengolahan Air Limbah (IPAL) menggunakan teknologi Recirculating Aquaculture System (RAS) dan pendekatan Plasma Finebubble. Teknologi ini diimplementasikan dengan menerapkan sistem pemantauan dan pengendalian (WQMCS) IoT untuk kolam budidaya udang. Penelitian sebelumnya mengembangkan aplikasi ¬backend dengan menggunakan Laravel dan dianalisa mampu dioptimalkan. Penelitian ini akan dikembangkan kembali sistem pemantauan dan pengendalian dengan menggunakan framework Yii2, kemudian membandingkan kinerjanya dengan aplikasi yang telah dibuat sebelumnya. Metode yang digunakan untuk pengembangan aplikasi adalah metode Agile Scrum dan pengukuran kinerja dilakukan dengan mengukur fungsional sistem, tingkat kesalahan, waktu respon, dan permintaan per detik. Sistem berhasil dioptimalkan dengan aktifnya semua endpoint serta mengurangi tingkat kesalahan sampai 0%, waktu rata-rata respon 34,31ms, dan 5,39 permintaan per detik lebih banyak., Waste water pollution that meets quality standards is an important goal to increase the production of super-intensive shrimp farming. In an effort to reduce the waste load and also meet the general guidelines for shrimp rearing, a Wastewater Treatment Plant (IPAL) using Recirculating Aquaculture System (RAS) technology and Plasma Finebubble approach was designed. This technology is implemented by applying an IoT monitoring and control system (WQMCS) for shrimp farming ponds. Previous research developed a backend application using Laravel and analyzed that it can be optimized. This research will redevelop the monitoring and control system using the Yii2 framework, then compare its performance with the application that has been made before The method used for application development is the Agile Scrum method and performance measurement is done by measuring system functionality, success rate, response time, and requests per second. The system was successfully optimized with all endpoints active and improved 100% success, 34.31ms average response time, and 5.39 more requests per second.
Keyword: Backend, Shrimp, WQMCS, YII2, RAS

Judul: Mobile Application Development for Shrimp  Pond Water Quality Monitoring and Control System
Abstrak: Udang merupakan salah satu komoditas budidaya perairan di Indonesia. Nilai ekspor sebesar 1.719.172.000 USD pada tahun 2019, membuat udang memiliki potensi besar untuk meningkatkan devisa negara. Potensi yang besar tersebut diikuti dengan resiko yang besar seperti pencemaran lingkungan dan kegagalan budidaya. Hal tersebut menjadi alasan dilakukannya pengembangan aplikasi front-end mobile Water Quality Monitoring and Controlling System menggunakan framework Flutter. Melalui aplikasi yang dikembangkan, petambak udang dapat memantau dan mengontrol kualitas air berdasarkan data sensor yang ditanamkan pada kolam tambak udang. Aplikasi ini dikembangkan menggunakan metode agile dengan framework Scrum. Diawali dengan User Requirement Analysis untuk perencanaan product backlog yang berisikan fitur yang dibutuhkan dan pelaksanaan sprint. Sprint dilakukan melalui 4 tahap, yaitu sprint planning, daily scrum, sprint review dan sprint retrospective. Sprint yang dilaksanakan selama 89 hari (4 sprint) telah menghasilkan aplikasi dengan fitur utama Monitoring, Maintenance dan Aktivasi perangkat IoT., Shrimp is one of the aquaculture commodities in Indonesia. The export value of 1,719,172,000 USD in 2019, makes shrimp has great potential to increase foreign exchange. This great potential is followed by great risks such as environmental pollution and cultivation failure. This is the reason for developing a front-end mobile Water Quality Monitoring and Controlling System application using the Flutter framework. Through the developed application, shrimp farmers can monitor and control water quality based on sensor data embedded in shrimp ponds. This application was developed using agile method with Scrum framework. It begins with User Requirement Analysis for product backlog planning which contains the required features and sprint implementation. Sprints are carried out through 4 stages, namely sprint planning, daily scrum, sprint review and sprint retrospective. The sprint that was carried out for 89 days (4 sprints) has produced an application with the main features of Monitoring, Maintenance and Activation of IoT devices.
Keyword: flutter, aplikasi mobile, Recirculating Aquaculture System (RAS), scrum

Judul: Sintesis 1-(2-hidroksifenil)-3-fenilpropana-1,3-dion dari o-hidroksiasetofenon dan benzoil klorida
Abstrak: Flavonoid is the most abundant naturaly-occuring polyphenolic compound which has C6-C3-C6 carbon skeleton. Flavone is a group of flavonoid with wide bioactivity spectrum. It is widely distributed in higher plants. Its bioactivities include antioxidant, HIV-1 proteinase inhibitor, strong and selective apoptotic inducer in human colon cell, and ligand for BDZ-R receptor. One of the important and widely applicable flavones synthesis route is through 1-(2-hydroxyphenyl)-3- phenylpropane-1,3-dione (1,3-diketone) acid-catalyzed oxidative cyclization. In this study, 1,3-diketone has been successfully synthesized via four-step route. In the first step, phenol was acetylated with 74–95% yields. Subsequently, phenyl acetate was converted to o-hydroxyacetophenone (o-HAP) with 34% yield via AlCl3-catalyzed Fries rearrangement. Benzoylation of o-HAP followed by Baker- Venkataraman rearrangement of the ester product using KOH in pyridine finally produced 1,3-diketone. The third and fourth steps yield were 27–44% and 82– 85%, respectively. All products in this study have been characterized spectroscopically. Melting point characterization were also conducted to the solid products.
Keyword: