Judul: Design an Android Based Shallot Distribution Traceability System Using QR Code
Abstrak: Tingginya jumlah produksi bawang merah di Indonesia tidak diiringi dengan informasi yang jelas mengenai asal-usul produk selama proses distribusi. Asal-usul di sini mencakup penanaman, kualitas, jumlah, harga, penanganan yang dilakukan, dan pelaku yang bertanggung jawab selama proses distribusi sampai ke tahap akhir rantai pasok. Oleh karena itu sistem ketertelusuran (traceability) menjadi hal penting untuk dikembangkan untuk memperoleh informasi asal-usul yang jelas dari suatu produk. Penelitian ini bertujuan mengidentifikasi rantai pasok distribusi bawang merah dan membuat rancang bangun sistem ketertelusuran distribusi berbasis android dengan implementasi Quick Response (QR) Code. Metode yang digunakan dalam penelitian ini adalah System Development Life Cycle (SDLC) model waterfall. Hasil penelitian menunjukkan bahwa rantai pasok bawang merah dimulai dari petani, perantara, pedagang pengepul, pasar induk, pengecer, dan konsumen rumah tangga. Penelitian juga menghasilkan aplikasi android bernama Shobis yang dibangun menggunakan bahasa Kotlin dan layanan Firebase. Seluruh data ketertelusuran disimpan menggunakan kode unik berupa QR Code. Sistem ketertelusuran yang dibangun dapat dikelola oleh kementrian perdagangan, e-commerce, dan konsumen industri seperti UMKM. Biaya yang diperlukan untuk menjalankan sistem ini dibagi menjadi dua yaitu biaya yang dikeluarkan aktor dan organisasi meliputi biaya tetap serta biaya tidak tetap. Pengujian sistem dilakukan untuk mengetahui seluruh sistem berfungsi dengan baik. Pemeliharaan juga dilakukan untuk mengevaluasi sistem yang telah dibangun. Evaluasi dilakukan menggunakan metode System Usability Scale (SUS) dan memperoleh skor 70,48 serta percentile rank 56%., The high amount of shallot production in Indonesia is not accompanied by clear information on the origin of the product during the distribution process. This includes planting, quality, quantity, price, handling, and responsible actors during the distribution process to the final stage of the supply chain. Therefore, it is important to develop a traceability system to obtain clear information on the origin of a product. This research aims to identify the shallot distribution supply chain and design an Android-based distribution traceability system with Quick Response (QR) Code implementation. The method used in this research is the System Development Life Cycle (SDLC) waterfall model. The results showed that the shallot supply chain starts from farmers, intermediaries, collecting traders, wholesale markets, retailers, and household consumers. The research also produced an Android application called Shobis which was built using the Kotlin language and Firebase services. All traceability data is stored using a unique code in the form of a QR Code. The traceability system can be managed by the Ministry of Trade, e-commerce, and industrial consumers such as MSMEs. The costs required to run this system are divided into 2 namely, costs incurred by actors and organizations, including fixed and non-fixed costs. System testing is conducted to determine if the entire system is functioning properly. Maintenance is also carried out to evaluate the system that has been built. The evaluation was carried out using the System Usability Scale (SUS) method and obtained a score of 70.48 and a percentile rank of 56%.
Keyword: android, QR Code, SDLC, shallot, traceability

Judul: Design of an Android-Based Beef Traceability System Using QR Code
Abstrak: Daging sapi merupakan makanan yang sangat digemari di Indonesia. Namun ada beberapa aktor yang menyebabkan kelangkaan daging sapi yang beredar di pasaran sehingga menyebabkan kenaikan harga pada daging sapi. Ada juga aktor yang mencampur daging sapi dengan daging asing yang tidak layak dimakan. Oleh karena itu, dibutuhkan suatu sistem yang dapat melacak dan menyimpan seluruh data dan riwayat dari rantai pasok daging sapi. Penelitian ini bertujuan membuat rancang bangun sistem ketertelusuran rantai pasok daging sapi berbasis android menggunakan QR Code untuk mencegah malapraktik dalam rantai pasok daging sapi dan menjamin asal-usul daging sapi. Sistem ini diberi nama SmartMoo. Target pengguna sistem adalah aktor-aktor penting dalam rantai pasok daging sapi, meliputi peternakan sapi, feedlot, Rumah Potong Hewan (RPH) dan pasar. Investigasi dilakukan untuk mengetahui data apa saja yang diperlukan dalam sistem yang akan dibuat, dari data tersebut bisa disusun rancangan fungsional dan rancangan struktural. Setelah itu dibuat desain tampilan yang akan ditampilkan pada layar antarmuka pengguna (user interface). Selanjutnya tahapan kodifikasi aplikasi, setelah kodifikasi dilakukan pengujian sistem. SmartMoo sudah berhasil dibuat dengan Android Studio menggunakan layanan Firebase sebagai tempat penyimpanan datanya. Setelah sistem dibuat, dilakukan pengujian terhadap penggunaan aplikasi. Pengujian aplikasi terdapat tiga kategori, yaitu: desain, informasi dan aplikasi. Nilai likert kategori desain adalah 79,71% dan untuk kategori informasi dan aplikasi memiliki nilai yang sama, yaitu 87,5%. Data sudah bisa disimpan di Firebase dan fungsi untuk membuat QR Code sudah berhasil dibuat. Setelah QR Code terpindai, sistem sudah menampilkan data yang sesuai. Tahap pengujian menunjukkan bahwa SmartMoo harus terimplementasikan namun perlu banyak pengembangan dalam segi desain dan fungsi dari sistem., Beef is a food material that is very popular in Indonesia. However, there are several actors who have caused the scarcity of beef on the market, causing an increase in the price of beef. There are also actors who mix beef with foreign meat that is not edible. Therefore, a system that can track and/or store all data and history from the beef supply chain is needed. This study aims to design an Android-based beef supply chain traceability system using a QR Code to prevent malpractice in the beef supply chain and guarantee the origin of beef. This System is named SmartMoo. The target users are important actors in the beef supply chain, those are cattle farms, feedlot, slaughterhouses and beef market players. Investigations were carried out to find out what data needs to be included in the system to be created, from this data a functional design and structural design can be compiled. After that, the display which will be displayed on the user interface screen was designed, followed with application codification stage. The final stage was the system testing. There are three categories of application testing, namely: design, information and application. SmartMoo has been successfully created with Android Studio using the Firebase service as the data repository. The Likert value for the design category is 79.71% and for the information and application categories it has the same value, which is 87.5%. The data can be saved in Firebase and the function to create the QR Code has been successfully created. After
Keyword: Android, Traceability, QR Code, Feedlot

Judul: Hamiltonian formulation for linear waves motion in two layers fluid
Abstrak: The surface wave could be considered as a wave that separates two fluids, namely water and air. Based on this assumption, it is introduced the interfacial wave, a wave between two layers of fluid with different density. The formulation of interfacial waves motion begins with deriving the base equation of irrotational ideal fluid. Furthermore, according to irrotational fluid assumption, the base equation can be stated in velocity potential. In this derivation, the fluids domain is assumed to be restricted by rigid lid boundary conditions, both at the upper and lower limit. Therefore, the interfacial waves motion can be explained in a hamiltonian formulation. In the hamiltonian formulation, total energy is defined as the sum of kinetic and potential energy. The hamiltonian system is obtained from reduction of kinetic energy by using the Dirichlet Neumann Operator. The resulted kinetic energy equation is nonlinear. Therefore, this form is linearized by first part of the Taylor expansion. This linearization gives a dispersion relation of linear wave. Based on this dispersion relation, the phase speed of the linear wave depends on the density ratio of the two layers fluid.
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