Judul: 2023
Abstrak: Kementerian Lingkungan Hidup dan Kehutanan (Kemenlhk) dalam proses penanganan kebakaran hutan dan lahan (karhutla) di wilayah Sumatra mengambil tindakan berupa membentuk tim patroli yang setiap harinya bertugas untuk mengamati langsung ke titik lokasi yang berpotensi mengalami kebakaran dan melaporkan hasilnya melalui media group Whatsapp. Media tersebut dinilai kurang efektif karena tidak dapat melakukan rekapitulasi secara otomatis. Selain pelaporan patroli yang dilakukan setiap hari, Kemenlhk juga merilis beberapa sistem informasi pendukung dalam proses penanganan karhutla ini, salah satunya adalah SIPONGI yang digunakan untuk memetakan titik panas yang muncul. Selain sistem informasi dari pihak kementrian, beberapa sistem hasil penelitian sebelumnya sempat dibuat untuk membantu tim patroli dalam melaksanakan kegiatan hariannya, seperti SIMADU untuk visualisasi sebaran patroli dan aplikasi mobile akuisisi data patroli karhutla yang sudah di release ke playstore sejak tahun 2019. Semua sistem tersebut pada dasarnya menggunakan data yang sama namun secara sistem masih ditempatkan di media yang terpisah. Penelitian ini bertujuan mengintegrasikan seluruh data yang digunakan dalam sistem akuisisi data patroli, pengolahan data patroli hingga visualisasi data patroli. Berdasarkan hasil pantauan selama aplikasi mobile digunakan dan berdasarkan hasil diskusi dengan pihak user, proses transaksi data yang terjadi pada sistem ini dinilai cukup besar sehingga sisi backend perlu dilakukan tune-up. Proses tuning tersebut dilakukan untuk menjaga layanan aplikasi agar tetap memenuhi konsep PIECES yaitu Performance, Information, Economics, Control, Efficiency dan Services. Proses pengembangan sistem ini mengadopsi metode pengembangan prototyping yang tahapan kerjannya diawali dengan komunikasi untuk mendapatkan detail kebutuhan dari pengguna, kemudian merancang sistem yang akan dibangun, lalu membangun sistem sesuai rancangan, diakhiri dengan mendapatkan feedback dari pengguna, jika dirasakan sistem masih memiliki kekurangan maka dapat dilakukan iterasi berikutnya agar kebutuhan terpenuhi dan sistem terbentuk secara utuh. Seluruh proses penelitian dilakukan di infrastuktur milik Departemen Ilmu Komputer IPB. Keluaran dari penelitian ini berupa sebuah sistem manajemen basis data dan Application Programming Interface (API) untuk dapat terhubung dengan sistem lain. Basis data dibangun terpusat dan dapat diakses melalui aplikasi mobile dan web. Basis data dibangun menggunakan model relasional pada platform PostgreSQL dengan beberapa parameter tuning yang diaplikasikan dengan referensi PIECES. Sistem dan arsitektur selesai dibangun dan dapat melayani aplikasi mobile dan Sistem Informasi berbasis web Patroli Pencegahan Karhutla.
Keyword: API, Database, Forest and land fire, PosrgreSQL, Tuning

Judul: Pengembangan Front End Sistem Informasi Manajemen Data Patroli Pencegahan Karhutla di Wilayah Sumatera
Abstrak: Kebakaran hutan dan lahan (karhutla) menyebabkan kerugian pada berbagai bidang di kehidupan masyarakat. Berbagai upaya dilakukan pemerintah untuk meminimalkan dampak permasalahan karhutla di Indonesia yang salah satunya adalah patroli terpadu karhutla. Aplikasi mobile patroli terpadu karhutla merupakan modul aplikasi yang mempermudah tim patroli dalam proses pelaporan data hasil observasi di lapangan. Penelitian ini bertujuan mengembangkan modul aplikasi web untuk monitoring data patroli dan manajemen data pengguna patroli karhutla. Pengembangan modul aplikasi web menggunakan metode prototyping dan diuji menggunakan metode blackbox. Tahapan dalam penelitian ini adalah komunikasi, perencanaan cepat, pemodelan rancangan cepat, konstruksi prototipe, dan terakhir penyebaran, penyampaian dan umpan balik. Modul aplikasi web diberi nama Sistem Informasi Patroli Pencegahan Kebakaran Hutan dan Lahan. Hasil pengujian menunjukkan bahwa modul aplikasi web dapat bekerja dengan baik, dan sesuai dengan kebutuhan pihak manajemen aplikasi mobile patroli pencegahan karhutla, Forest and land fires (karhutla) cause losses in various fields of people's lives. Various efforts have been made by the government to minimize the impact of forest and land fire problems in Indonesia, one of which is the integrated forest and land fire patrol. The integrated karhutla patrol mobile application is an application module that can make it easier for the patrol team in the process of reporting data from field observations. This study aims to develop a web application module for monitoring patrol data and data management for forest and land fire patrol users. Development of the web application module used the prototyping method and tested using the blackbox method. The stages in this research are communication, rapid planning, rapid design modelling, construction prototyping, and finally dissemination, delivery and feedback. The web application module is named the Forest and Land Fire Prevention Patrol Information System. Test results show that the web application module can work well, and meets the requirement of the mobile application management of karhutla prevention patrol
Keyword: forest and land fires, information system, prevention patrol

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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