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: The Effects of Variance of Interest rate to Variance of Annuity Future Values
Abstrak: Time value of money is a concept that refers to the difference of the value of money due to time difference. The value of money for present time would not be the same as the value of money in the future. The value of money for present time is called as Present Value (PV) of the money and the value of money for future time is called Future Value (FV) of the money. Determination the value of money, for present and future time, depends on the time and rate of return. The value of money is determined by several factors such as inflation, fluctuation of interest rates, and government policy in securities and taxation. Due to fluctuation of the value of money we need a FV formulation, it is useful for knowing whether an investment can be profitable or not, and this information is useful also in budget analysis. Annuity is defined as a series of payments made for a specific period. The payment, fixed or varied, can be made at the beginning or at the end of the period. Annuity paid at the beginning of the period is called annuity-due and annuity paid at the end of the period is called immediate annuity-certain. The accumulated value of the annuity after few years later is called as a final value or a future value. Burnecki et al. (2003) have discussed about the FV of a fixed-rate annuity in which payments are made according to the arithmetic or geometric series. They have also examined FV for annuities in which payments are made according to arithmetic or geometric series with random rates of interest. This paper examines FV for annuity-due in which payments are made according to arithmetic or geometric series with interest rates as a random variable, which is normal distribution ,  . Future value formula is expressed in recursive form. FV for annuity-due which payments are made according to the arithmetic or geometric series with random rates of interest is calculated by theoretical way and simulation way. The random rates of interest is denoted as k k i  i  , where k i an independent random variable; i is a constant and k  is a random variable which has normal distribution ,  . By using the determined parameters, a sequence of random rates of interest are generated for theoretical calculation. Meanwhile for the simulation, the random rates of interest is generated 1000 times for the simulation. The generated data give mean value, variance, and standard deviation. Moreover, error of mean value, variance, and standard deviation from the theoretical and simulation results are calculated. Error calculation uses Symmetric Mean Absolute Percentage Error (SMAPE). The smaller the value of SMAPE is the more accurate the simulation. The interest rate variances are varied from 0.000036 to 0.0001 to study the relationship between variance of rates of interest and variance of future value. The theoretical and simulation results show that when the variance of random rates of interest increases, then the variance of FV increases linearly. FV of the annuity-due in
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