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The capital market in Indonesia is developing with the presence of the Islamic capital market through a collaboration between the Indonesia Stock Exchange and PT. Danareksa Investment Management by launching the Jakarta Islamic Index (JII) on July 3, 2000. The existence of Islamic mutual funds emerged as an answer to the concerns of Muslim investors regarding interest, speculation, and unclear investment in mutual funds. This study aimed to estimate the effect of inflation, BI Rate, Exchange Rate and Dow Jones Industrial Average Index on the Jakarta Islamic Index (JII). This study uses secondary data based on time series from Quarter 1: 2008-Quarter 4: 2018, obtained from the Indonesia Stock Exchange, Bank Indonesia, the Indonesian Central Bureau of Statistics and Financial Economics and Statistics. The analytical method used for this study uses an analytical approach multiple linear regression. Based on the simultaneous test shows that the Inflation, BI Rate, Exchange Rate and Dow Jones Index influence together on JII. Based on the results of the study it was found that the Inflation variable partially and significantly affected JII

This research aims to develop a low-cost mobile robotic arm for an indoor delivery system. Current pandemic and possible future threat of communicable disease become challenging scenarios in developing an unmanned logistic delivery system with a minimum human involvement, especially for inter-room items delivery inside a highly regulated building such as in hospital, clinic, pharmaceutical, foods and beverages industries. In this paper, a prototype of mobile robotic arm is designed to achieve an autonomous level of navigation utilizing a 2D LIDAR with a guided remote monitoring and control of object selections for loading/unloading process. The mobile robotic arm is an integrated robotics system of mobile robot with an attached robotic arm in its body. The base of the mobile robotic arm utilizes a differential-drive wheels configuration equipped with wheels odometry system. The robotic arm is configured of a 4-DoF SCARA-like structure. The 2-dimensional environment map is generated using LIDAR sensor utilizing Hector SLAM method prior to navigation. The autonomous navigation is performed using a 2D LIDAR-based technique by employing an A* algorithm for path planning and tracking mechanism. Experimental works were conducted in a small building environment consisting of some rooms and narrow corridors. The result of experiments show that the prototype of mobile robotic arm can safely and effectively navigate through the testing environment, subsequently to load and unload objects from one room to another room without colliding to objects and obstacles.

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AbstrakPenggunaan energi surya sebagai sumber energi listrik memiliki beberapa kelemahan, seperti daya listrik yang dihasilkan oleh panel surya dipengaruhi oleh iradiasi sinar matahari, suhu lingkungan, dan sudut datang matahari. Hal ini menyebabkan daya yang dihasilkan akan mengalami fluktuasi. Maximum Power Point Tracking (MPPT) merupakan suatu metode untuk memaksimalkan daya keluaran yang dihasilkan oleh panel surya. Penelitian ini bertujuan untuk merancang sistem MPPT menggunakan rangkaian boost converter dengan algoritma Perturb and Observe. Pengujian sistem MPPT dilakukan dengan memvariasi nilai iradiasi dan beban, kemudian menganalisis daya keluaran panel surya tersebut, serta membandingkan daya keluaran sistem yang menggunakan MPPT dan tidak menggunakan MPPT terhadap perubahan beban. Sistem pencarian titik daya maksimum panel surya menggunakan rangkaian boost converter dengan algoritma Perturb and Observe telah berhasil direalisasikan. Daya maksimum yang dihasilkan sistem MPPT dengan variasi beban 39 Ω, 50 Ω, dan 100 Ω pada iradiasi 1092 W/m 2 dan suhu 29 o C adalah 29,32 W, sedangkan pada iradiasi 752 W/m 2 dan suhu 29 o C adalah 24,56 W. Sistem MPPT dapat mempertahankan nilai daya pada titik maksimalnya saat terjadi perubahan beban, sedangkan pada sistem yang tidak menggunakan MPPT nilai daya yang dihasilkan akan berubahubah sesuai dengan perubahan beban. AbstractThe use of solar energy as a source of electrical energy has several disadvantages. The electrical power produced by solar panels is affected by irradiation of sunlight, ambient temperature, and the angle of sunlight arrival. These factors are causing the resulting power fluctuated. Maximum Power Point Tracking (MPPT) is a technique to maximize the output of power generated by solar panel. This work aims to design an MPPT system using boost converter with Perturb and Observe algorithm. Several tests of MPPT system are carried out by varying the irradiation and load. Analysis is made for the output of power from the solar panel, and comparison the system with and without MPPT as the load changes. Searching system of the solar panel's maximum power point applying a boost converter with Perturb and Observe algorithm is succesfully realized. The maximum power generated by the system with MPPT with variation in load 39 Ω, 50 Ω, and 100 Ω for irradiation 1092 W/m 2 and a temperature 29 o C is 29.43 W, while for irradiation 752 W/m 2 and a temperature 29 o C, the maximum power is 24.56 W. The MPPT system is able to maintain the power value at its maximum point when the load changes, meanwhile for a system does not use MPPT, the values of the power generated change according to the load changes.