EFEKTIVITAS SISTEM ELECTRONIC MONITORING DAN EVALUASI (E-MONEV) DI BADAN PERENCANAAN PEMBANGUNAN KOTA SURABAYA

Abstrak E-Monev merupakan salah satu instrumen pemantauan, evaluasi, dan pengendalian pembangunan (PEPP) yang digunakan untuk menghimpun data dan informasi hasil pemantauan (data realisasi) pelaksanaan rencana pembangunan. Badan Perencanaan Pembangunan Kota Surabaya telah menerapkan sistem ini setelah adanya kasus penggelapan uang oleh mantan bendahara Badan Perencanaan Pembangunan Kota Surabaya sendiri pada tahun 2016, dengan hadirnya sistem yang lebih modern diharapkan tidak akan mengulang terjadinya penyelewengan di Badan Perencanaan Pembangunan Kota Surabaya. Proses monitoring dan evaluasi difasilitasi menggunakan perangkat lunak berbasis secara online yang dapat dilakukan pengaksesan melalui laman monev.surabaya.go.id. E-Monev mulai dijalankan di Badan Perencanaan Pembangunan Kota Surabaya di tahun 2017 kemudian sampai sekarang masih dipergunakan. Tujuan dari adanya pelaksanaan penelitian ini adalah melakukan analisis dan mendeskripsikan keefektifan dari e-monev pada badan perencanaan pembangunan kota Surabaya. Penggunaan pendekatan kualitatif dan penelitian studi kepustakaaan (library research) dimanfaatkan dalam penelitian ini yang mana data-data yang dimuat berasal dari literatur-literatur terkait dengan topik penelitian seperti jurnal, buku, skripsi, dan berita dari website (internet). Berdasarkan hasil penelitian diketahui bahwa sistem e-monev yang diterapkan di Badan Perencanaan Pembangunan Kota Surabaya sudah berjalan dengan efektif dibuktikan dengan hasil data penilaian evaluasi Sistem Akuntabilitas Kinerja Instansi Pemerintah, tingkat capaian keberhasilan program pembangunan, persentase produk hukum yang di selesaikan, juga rata-rata penyerapan anggaran yang meningkat. Saran dari penelitian ini adalah memperbaiki interface aplikasi, melakukan pelatihan penggunaan sistem yang lebih masif dan melakukan pemeliharaan sistem secara rutin supaya dapat terus berfungsi dengan maksimal. Kata Kunci:E-Government, Efektivitas Sistem, E-Monev. Abstract E-Monev is one of the development monitoring, evaluation and control instruments which used to collect data and information on the results of monitoring (data realization) on the implementation of development plans. The e-monev at government’s development planning agency of Surabaya is implemented this system after a diversion of funds by the former of The government’s development planning agency of Surabaya treasurer, the e-monev is expected to prevent from insident recurring. The process is facilitated using online application accessed through the monev.surabaya.go.id website. E-Monev implemented at the the government’s development planning agency of Surabaya in 2017 and still continues to this day. The purpose of this research is to analyze and describe the effectiveness of e-monev at the Surabaya city development planning agency. The use of qualitative approach and library research in this research where the data that published from literature such as journals, books, theses, and news from website (internet). Based on the research results, it is known that e-monev system which implemented at The government’s development planning agency of Surabaya has been running effectively as evidenced by the results data on the evaluation of the Performance Accountability System of Government Agencies, the level of achievement of the success of the development program, the percentage of legal products that have been completed, also the increased average absorption of the budget. Suggestions from this research are to improve the application interface, conduct training on more massive system use and carry out routine system maintenance so it can continue to function optimally. Keywords: E-Government, System Effectivness, E-Monev

The use of modern technologies in the surveying field

In order to achieve or complete the 1: 1.000 scale situation plan and the digital terrain model for the Timişoara - Sibiu highway section, and given the difficult access conditions in the project area, it was decided to use photogrammetric techniques for extraction of spatial information needed for mapping. In order to achieve the mapping requirements at a scale of 1: 1.000, the following activities were performed: Realization of the geodetic support network; Realization of the aerial photography project; Making pre-marking points in areas without clear details or other location possibilities; Simultaneous aerial photography of sub-blocks at different flight heights to ensure a 12 cm pixel and simultaneous laser scanning with LiDAR system; Identification of marking and pre-marking points on the subblock frames; Performing GPS measurements to determine the coordinates of landmarks and photogrammetric pre-marking; LIDAR data processing using permanent GPS stations to obtain coordinates in the ETRS89 system and transform them into the STEREO70 system and Black Sea reference plan 75; Calibration of LIDAR data; Filtering LIDAR data; Realization of aerotriangulation on subblocks or bands; Stereo restitution of planimetric and altimetric details for 1: 1.000 scale (3D mode); Transforming 3D plans into 2D plans; Editing and elaborating topographic plans.

Detecting an Unknown Abrupt Change in the Band Center of the Fast-Fluctuating Gaussian Random Process

The generalized maximum likelihood algorithm is introduced for detecting the abrupt change in the band center of a fast-fluctuating Gaussian random process with the uniform spectral density. This algorithm has a simpler structure than the ones obtained by means of common approaches and it can be effectively implemented on the base of both modern digital signal processors and field-programmable gate arrays. By applying the multiplicative and additive local Markov approximation of the decision statistics and its increments, the analytical expressions are calculated for the false alarm and missing probabilities. And with the help of statistical simulation it is confirmed that the proposed detector is operable, while the theoretical formulas describing its quality and efficiency approximate satisfactorily the corresponding experimental data in a wide range of parameters of the observable data realization.

EVALUASI TINGKAT KEBERHASILAN PELAKSANAAN PROGRAM INSEMINASI BUATAN SAPI PERANAKAN FRISIEN HOLSTEIN (PFH) DI DESA SEMEN KECAMATAN GANDUSARI KABUPATEN BLITAR

The main objective of this study was to evaluate the success rate of Artificial Insemination (IB) in the Village of Semen Gandusari District, Blitar Regency. This research method is done in 2 ways, namely, descriptive and quantitative analytical. Quantitative data types are data in the form of numbers including: Number of IB services, number of females in IB, all pregnant females IB results, number of pregnant females first IB results, Data Realization of Artificial Insemination activities and recapitulation data on Artificial Insemination births, Number of Days / Months between one birth and the next, the number of farmers applying the IB program. The type of data used is primary and secondary data. The results of the research in the form of primary and secondary data obtained qualitatively are processed descriptively, while the quantitative ones are processed statistically with an average value then interpreted according to the statistics. The results that have been obtained evaluating the success rate of IBs in the working area of Semen KUD, especially Semen village, are as follows: Non Return Rate (NRR) 38.42 ± 32.91%, Conception Rate (CR) 38.42 ± 32.91%, Service Per Conception (S / C) 2.23 ± 0.95 times, 433.2 ± 57.3 days of Calving Interval (CI). It can be concluded that dairy cows in the Semen village pretty good value even though not optimal. Suggestions that need to be carried out further research on factors that influence the success of artificial insemination programs (IB).

Penentuan Target Pajak Kendaraan Bermotor Di Provinsi Bali Menggunakan ARIMA Dan Algoritma Genetik

Bali Regional Income Board is a regional organization tasked with determining the amount of local tax revenue target for the next fiscal year. Currently still done manually in accordance with existing upgrading trends from previous years. So it needs to be done in way that can be measured and accurate forecasting. In recent studies, it shows that forecasting by combining conventional and artificial intelligence (hybrid) methods results in better forecasting accuracy. By that reason, the writer tries to forecast the target of revenue from Motor Vehicle Tax (PKB and BBNKB), which contribute 70% to Bali Province income by combining ARIMA method and Genetic Algorithm. The data used consisted of five groups: yearly and new Vehicles that have linear data types, and as Reverse Names, Entrance Mutations and Output Mutations that have non-linear data types. Each data group consisted of PKB and BBNKB, where it’s monthly realization data from 2011 to 2016 used to be training data and realization data for 2017 as test data. The Combined forecasting mechanism is performed using ARIMA to forecast linear data and using Genetic Algorithms for non-linear data. As a benchmark for combined forecasting using ARIMA and Genetic Algorithms, forecasting using ARIMA and Genetic Algorithms independently is used for all data types (linear and nonlinear). Testing is done by comparing data of forecasting result with that 3 different methods for year 2017 with data realization year 2017. Then the error percentage is counted using MAPE. From the test results obtained for ARIMA MAPE value of 3.63, Genetic Algorithm 4.72 and combined ARIMA and Genetic Algorithm of 1.13. Thus, the result of forecasting with combination ARIMA and Genetic Algorithm have the best result and then used to forecasting target of PKB for 2018 and so on

ANALISIS EFEKTIVITAS DAN KONTRIBUSI PAJAK HOTEL TERHADAP PENDAPATAN ASLI DAERAH KABUPATEN HALMAHERA UTARA

Local Own Revenue (PAD) is regional income derived from the results of local taxes, the results of local retribution, the result of separated regional wealth management, and others. The purpose of this study, to determine the effectiveness and contribution to the North Halmahera District's Original Revenue. The analytical method used is descriptive qualitative that is analyzing the level of effectiveness and contribution from data realization of Hotel Tax District of North Halmahera. The results showed that (1) the effectiveness of Hotel Tax in 2013 until 2017 experienced a decrease and a varied increase. The highest effectiveness is in 2014 with the percentage of 116.08% and included in the criterion is very effective, then the lowest effectiveness is in 2016 with the percentage of 86.32% and included in the criterion less effective, (2) Hotel Tax Contribution on 2013 to 2017 goes into very less criteria. And that included in the lowest criterion number is in 2015 with a percentage of 1.82%.Keywords: Local Original Income, Effectiveness, Contribution

ANALISIS PENGARUH PDRB, INFLASI, NILAI KURS, DAN TENAGA KERJA TERHADAP PENERIMAAN PAJAK PADA KABUPATEN CILACAP, BANYUMAS, PURBALINGGA, KEBUMEN DAN PURWOREJO

Taxes serve to reduce inequalities among the population and thus demand substantial government expenditures for state financing which one of the sources is tax revenue. Butmany factors affect the high low tax revenue. This study aims to determine partially whether the GDP, inflation, the exchange rate of rupiah against US Dollar and labor have a positive effect on tax revenues and also to determine whether GRDP, inflation, the exchange rate of rupiah against US Dollar and labor in together have a positive effect on tax revenue. This study uses data realization of tax revenue, GDP data, inflation data, and employment data in the districts of Cilacap, Banyumas, Purbalingga, Kebumen, Purworejo as well as data on the Rupiah exchange rate against US Dollar. The results show that partially PDRB and labor positively affect the tax revenue while inflation and the exchange rate of rupiah against US Dollar have no positive effect on tax revenue. In together the variables PDRB, inflation, exchange rate and labor, significantly affect the variable tax revenue. Keywords: tax revenue, GRDP, inflation, US Dollar exchange rate, labor