Articles
<![CDATA[PERANAN BADAN PERMUSYAWARATAN DESA DALAM PENYELENGGARAAN PEMERINTAHAN DESA MENURUT UNDANG-UNDANG NO. 32 TAHUN 2004 ]]>
<![CDATA[Purwanto, djoko]]>
<![CDATA[ FAIRNESS AND JUSTICE Vol 9, No 1 (2013): FAIRNESS AND JUSTICE ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Jember ]]>
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DOI: 10.32528/.v9i17.625
<![CDATA[Badan Permusyawaratan Desa merupakan lembaga perwujudan demokrasi dalam penyelenggaraan pemerintahan desa. BPD dapat dianggap sebagai "parlemen"-nya desa. BPD merupakan lembaga baru di desa pada era otonomi daerah di Indonesia. Peranan BPD menurut Pasal 209 UU No. 32 tahun 2004 tentang Pemerintahan Daerah adalah berfungsi menetapkan peraturan desa bersama Kepala desa, menampung dan menyalurkan aspirasi masyarakat, lalu diimplementasikan peran BPD pada Peraturan Pemerintah yang mengaturnya yaitu Pasal 35 PP tahun 2005 tentang Desa bahwa BPD juga mempunyai wewenang yang luas yaitu mengawasi pelaksanaan Peraturan Desa.Wewenang Badan Perwakilan Desa yang bermasalah berkaitan peraturan desa, yang dalam Undang- Undang No. 32 tahun 2004 dijelaskan terdapat campur tangan BPD dalam pembuatannya. Sekarang menjadi tidak jelas implementasinya pada Undang-Undang No. 12 tahun 2011 tentang Pembentukan Perundang-undangan, disitu tidak disebutkan tentang peraturan desa sama sekali padahal pada Undang-Undang sebelumnya yaitu Undang-Undang No. 10 Tahun 2004 disebutkan dalam Pasal 7 ayat (2) huruf c dengan jelas menyebutkan ?Peraturan Desa/peraturan yang setingkat, dibuat oleh badan perwakilan desa atau nama lainnya bersama dengan kepala desa atau nama lainnya.? dan dengan adanya UU Nomor 12 tahun 2011 jelas bahwa dalam Pasal 7 hanya menyebutkan jenis dan hierarki perundangan hanya sampai peraturan daerah.Kata kunci: Wewenang, Peraturan Daerah]]>
<![CDATA[Efektifitas Pemberlakuan Sistem Satu Arah pada Jalan Indraprasta Kota Semarang dalam Rangka Pemerataan Sebaran Beban Lalu Lintas ]]>
<![CDATA[Purwanto, Djoko]]>;
<![CDATA[Eko Yulipriyono, EPF]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 21, Nomor 1 (2015) ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v21i1.11230
<![CDATA[The traffic problems in a big city such as Semarang generally caused by the typical situation like overcrowding at peak hours. To overcome this problem, Semarang Government has implemented “One Way System” on the Indraprasta Street section without providing road partner. This study is intended to identify the effectiveness of this policy. The following streets were reviewed: Indraprasta, Imam Bonjol, Mgr. Soegiyopranoto, and Pierre Tendean. Further, the intersections which studied are Indraprasta-Imam Bonjol-Pierre Tendean and Tugu Muda. Traffic survey data were collected in the morning and afternoon peak hours. Manual Kapasitas Jalan Indonesia 1997 was used in the data analysis procedure. This short-term study was conducted by simulating the proposed scenario and compared with the existing situations.In conclusion, “One Way System” on Indraprasta Street section is assessed not effective due to its relatively small degree of saturation, while Mgr. Soegiyopranoto Street has a large degree of saturation. Therefore, the one-way system to Imam Bonjol Street and Mgr. Soegiyopranoto Street also needed to implement and form a “rotary link“. In addition, enacting contraflow for public transport on Soegiyopranoto Street and Imam Bonjol Street is necessary, also the arrangement of signals and geometric in the intersection that linked those three streets.]]>
<![CDATA[Perubahan Nilai Ekivalensi Mobil Penumpang Akibat Perubahan Karakteristik Operasional Kendaraan di Jalan Kota Semarang ]]>
<![CDATA[Yulipriyono, EPF. Eko]]>;
<![CDATA[Purwanto, Djoko]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 23, Nomor 1 (2017) ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v23i1.12517
<![CDATA[Passenger Car Equivalent (PCE) is a conversion factor to make equal the various types of vehicles that operating on the road section into one type of vehicles i.e. passenger cars. Indonesian Highway Capacity Manual (MKJI) 1997 has set the PCE values for various types of vehicle groups either motorized. PCE values of various types of vehicles are not absolute because many factors that affect can change over time and development of automotive technology. This study aimed to find out the changes of PCE value that occurs. As for the purpose of research to determine the current number of PCE values due to the change of operational characteristics of vehicles on a highway especially for urban highways. Data analysis for the determination of PCE values used: time headway method, speed method, capacity method, and vehicle dimension method. The conclusion of this study: PCE of light vehicles (LV) = 1 still in accordance with MJKI 1997; PCE of heavy vehicles (HV) varied depending on the road types. PCE of heavy vehicles that according to MKJI 1997 is used as a median; PCE of motorcycles (MC) of MKJI 1997 need to be adjusted to 0.4 or more, particularly in the calculation of actualy traffic flow.]]>
<![CDATA[Pengelolaan Transportasi Berwawasan Lingkungan Sebagai Dampak Perkembangan Perkotaan Tak Terkendali (Studi Kasus Kota Semarang) ]]>
<![CDATA[Purwanto, Djoko]]>;
<![CDATA[Ismiyati, Ismiyati]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 20, Nomor 1 (2014) ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v20i1.9250
<![CDATA[The increasing of urban population growth would affect to the increasing settlement growth which expanding uncontrollably toward the suburbs, this condition will influence transportation problem and 70 % air pollution comes from transportation sector (BAPEDAL in 2006). Semarang cities as case study deals with congestion problems in almost all road network; the most surprising thing is with the presence of mass transit services which is BRT, both BRT corridor I and corridor II, it still have a load factor of 27% (Ilham Hussein, 2012). This study aims to: manage environmentally sound public transportation based on the characteristics of people and city of Semarang. The result of study concluded that in order to manage environmentally sound transportation by creating an unified and integrated mass transit; which is by cutting the BRT routes that are less effective and too long, directed to feeder transport from the tip end of track to the end of beginning of peple mobility with a public transport like mini bus for a distance of > 500m and bike or walking track to feeder within 200 – 500m equipped with convenient bicycle and pedestrian infrastructures. Whereas, for the suburbs mobility to other suburbs it can use rail-based mass transportation (MRT).]]>
<![CDATA[Hubungan antara Kecepatan dan Kondisi Geometrik Jalan yang Berpotensi Menyebabkan Kecelakaan Lalu Lintas pada Tikungan ]]>
<![CDATA[Purwanto, Djoko]]>;
<![CDATA[Kusuma Indriastuti, Amelia]]>;
<![CDATA[Hari Basuki, Kami]]>
<![CDATA[ MEDIA KOMUNIKASI TEKNIK SIPIL Volume 21, Nomor 2 (2015) ]]>
Publisher : <![CDATA[Department of Civil Engineering, Diponegoro University ]]>
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DOI: 10.14710/mkts.v21i2.11234
<![CDATA[To date, the traffic accident number on hairpin curve is still quite high. This is exacerbated by speeding driving behaviour of some road users.This research aims to identify the factors that cause traffic accidents and drivers’ behaviour at the curve; to review curve geometric design; and to develop a relationship among speed, curve geometric condition and the accident at the curve. This study simply reviewed three hairpin curves that were prone to be blackspots in Batang. The dominant factors that cause accidents were human error and road condition. The driver’s speeding behaviour was indicated by the speed that was lessen when entering and increase when leaving the curve. There were speed variations among vehicles in research location that could increase the number of accident. The results of the geometric review showed that the radius of all curves evaluated did not meet the standard, i.e. less than the minimum radius. Another result of this study was relationships among speed, geometric condition and accident number, as shown by the following formula: Speed = 0.095 Radius + 42.889, No. of accident = - 0.785 Radius + 0.008 Speed - 284.301, and EAN = 0.028 Speed - 1108.689.]]>
<![CDATA[ANALISIS KEBUTUHAN RUANG PARKIR TERINTEGRASI UNTUK FIB, FH, DAN FISIP UNDIP KAMPUS TEMBALANG ]]>
<![CDATA[Ferwira, Anda]]>;
<![CDATA[Widihandoko, Andri]]>;
<![CDATA[Purwanto, Djoko]]>;
<![CDATA[Supriyono, Supriyono]]>
<![CDATA[ Jurnal Karya Teknik Sipil Volume 2, Nomor 1, Tahun 2013 ]]>
Publisher : <![CDATA[Departemen Teknik Sipil, Fakultas Teknik Universitas Diponegoro ]]>
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<![CDATA[Diponegoro University is a State University in Central Java. FIB, FH, and FISIP is part of some faculty at UNDIP. The layout of the three faculty are close each other. One of the problems from the three faculty is parking space requirements. Although it has provided a parking space (off street parking) in each faculty, but in reality there are many vehicles parked on the roadside (on street parking). This final report aims to evaluate the need of existing parking spaces and planned capacity expansion of existing parking spaces. Methodologies used include: field surveys, problem identification, data collection, test of the validity with chi-square test, data analysis, calculation of SRP needs, arrangement of the old park and planning of new park. The number of the current shortage of parking space requirements for overall three faculty is 91 SRP for cars and 59 SRP for motorcycles. Meanwhile for the development of the next 5 years is 138 SRP for cars and 466 SRP for motorcycles. Development of parking area with the integrated construction for FIB, FH, and FISIP are given alternative. Construction of the integrated parking building is planned 3 floors with total floor area of 5775 m². 1st floor with area of 1925 m² can serve 468 SRP motorcycles and 15 SRP cars. 2nd floor and 3rd floor with the same area is able to serve 62 SRP cars. Based on the analysis of the calculation, planning is considered to have been able to solve the needs of today and the parking spaces for the development of the next 5 years is until 2017. To solving the possibility of the occurrence of on-street parking, the solution is given by the installation of parking prohibition signs around the side of the road.]]>
<![CDATA[Penerjemahan Bahasa Isyarat Indonesia Menggunakan Kamera pada Telepon Genggam Android ]]>
<![CDATA[Andrian, Muhammad Yunus]]>;
<![CDATA[Purwanto, Djoko]]>;
<![CDATA[Mardiyanto, Ronny]]>
<![CDATA[ Jurnal Teknik ITS Vol 6, No 1 (2017) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v6i1.21981
<![CDATA[Penginderaan visual atau machine vision merupakan suatu proses manipulasi data citra. Data tersebut dapat digunakan untuk melakukan intepretasi banyak hal, salah satunya yaitu pengenalan gesture. Pengenalan gesture adalah antarmuka yang dapat mengenali gerak-isyarat seorang manusia dan mentranslasikan gerakan tersebut sebagai instruksi yang dapat dipahami oleh komputer. Pengenalan gesture dapat digunakan untuk penerjemahkan bahasa isyarat pada orang tunawicara. Hal ini karena banyaknya orang yang tidak mengerti bahasa tangan orang tunawicara. Sehingga, orang tunawicara kesulitan dalam berinteraksi di masyarakat.Pada tugas akhir ini pengenalan gesture untuk penerjemahan bahasa isyarat lebih mengarah pada hand recognition, yaitu pendeteksian perubahan gerak tangan, dengan menggunakan android mobile phone sebagai divaisnya. Android mobile phone memiliki kamera untuk menangkap citra orang tuna wicara saat berkomunikasi menggunakan bahasa isyarat berupa gerakan tangan. Selanjutnya, citra diproses oleh processing unit android untuk melakukan proses hand recognition. Setelah proses tersebut selesai, maka layar display akan memunculkan huruf atau kata dari perubahan posisi gerak tangan yang dilakukan orang tunawicara yang berada di depan kamera. ]]>
<![CDATA[Parsing Indonesian Syntactic with Recursive Neural Network ]]>
<![CDATA[Putra, Karisma Trinanda]]>;
<![CDATA[Purwanto, Djoko]]>;
<![CDATA[Mardiyanto, Ronny]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2015i1.1050
<![CDATA[Sentence is a form of human communication which is closely related to language system. Sentence is one of the recursive structures that are often found in daily conversation. Learning syntactic structure is useful to explore the meaning of the sentence contained on it or translated it into another language such as machine language. The problem is meaning, ambiguity, and the language that is not according to the rules of syntax, causing the command translation become more complex. This research is about parsing Indonesian syntax based on natural language rules for applications in the field of human-machine interaction. Each word that is a part of the sentence, is mapped into vector-space model. To estimate the potential connection of two words, we use the recursive neural network. The potential connection of two words translated into a higher structure to obtain a complete sentence structure. We obtain 93% accuracy, with 50 data-set are given in the learning process to represent a hundred vocabularies.]]>
<![CDATA[Neural Network for Electronic Nose using Field Programmable Analog Arrays ]]>
<![CDATA[Helmy Widyantara]]>;
<![CDATA[Muhammad Rivai]]>;
<![CDATA[Djoko Purwanto]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 2, No 6: December 2012 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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<![CDATA[Electronic nose is a device detecting odors which is designed to resemblethe ability of the human nose, usually applied to the robot. The process ofidentification of the electronic nose will run into a problem when the gaswhich is detected has the same chemical element. Misidentification due tothe similarity of chemical properties of gases is possible; it can be solvedusing neural network algorithms. The attendance of Field ProgrammableAnalog Array (FPAA) enables the design and implementation of ananalog neural network, while the advantage of analog neural networkwhich is an input signal from the sensor can be processed directly by theFPAA without having to be converted into a digital signal. Direct analogsignal process can reduce errors due to conversion and speed up thecomputing process. The small size and low power usage of FPAA are verysuitable when it is used for the implementation of the electronic nose thatwill be applied to the robot. From this study, it was shown that theimplementation of analog neural network in FPAA can support theperformance of electronic nose in terms of flexibility (resource componentrequired), speed, and power consumption. To build an analog neuralnetwork with three input nodes and two output nodes only need twopieces of Configurable Analog Block (CAB), of the four provided by theFPAA. Analog neural network construction has a speed of the process0.375 μs, and requires only 59 ± 18mW resources.DOI:http://dx.doi.org/10.11591/ijece.v2i6.1501]]>
<![CDATA[Implementation of Electronic Nose in Omni-directional Robot ]]>
<![CDATA[Harianto Harianto]]>;
<![CDATA[Muhammad Rivai]]>;
<![CDATA[Djoko Purwanto]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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<![CDATA[Electronic nose (E-nose) is a device detecting odors which is designed to resemble the ability of the human nose. E-nose can identifying chemical elements that contained in the odors. E-nose is made of arrays of gas sensor, each of it could detect certain chemical element. When detects gases, each sensor will generate a specific pattern for each gas. These patterns could be classified using neural network algorithm. Neural network is a computational method based on mathematical models which has the structure and operation of neural networks which imitate the human brain. Neural network consists of a group of neurons conected to each other with a connection named weight. The weights will determine wether neural networks could compute given inputs to produce a specified output. To generate the appropriate weight, the neural network needs to be trained using a number of gasoline and alcohol samples. The training process to generate appropriate weights is done by using back propagation algorithm on a personal computer. The appropriate weight then transferred to omni-directional robot equipped with e-nose. The result shows that the robot could identify the trained gas.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2531]]>
