Abstract:Abstract: An application can assist organizations in achieving the goals to be achieved by facilitating ongoing work processes. This happened in the Information Systems Study Program at one of the best private universities,…
es, namely Telkom University, where the SI Study Program has a website called PIPE and has one feature to be able to predict student graduation. However, this feature is currently being developed with an easy flow, so it requires development in the implementation of graduation achievements. Researchers solve these problems by building an assessment model based on academic data on the effect of choosing a specialization. Data mining is needed in this study to form predictive patterns, then one of the data mining groups is based on classification and using machine learning to perform automated assessments so that they can be sustainably performed. In determining the time and delay, using the decision tree method based on the C4.5 algorithm. The accuracy results obtained using the C4.5 algorithm are 94.11%, then the factor that becomes the root node is Jumlah SKS Lulus and the results have an influence on the selection of specialization. So that the results of this graduation model can be applied to the PIPE application.
Keyword: C4.5 algorithm; classification; decision tree; graduation prediction
Abstrak: Sebuah aplikasi dapat membantu organisasi dalam mencapai tujuan yang ingin dicapai dengan memudahkan proses kerja yang sedang berlangsung. Seperti yang terjadi pada Prodi Sistem Informasi yang ada pada salah satu Perguruan Tinggi Swasta terbaik yaitu Universitas Telkom, dimana pada Prodi SI memiliki website bernama PIPE dan memiliki salah satu fitur untuk dapat melakukan prediksi kelulusan mahasiswa. Namun fitur tersebut saat ini dikembangkan dengan alur penentuan sederhana, sehingga memerlukan pengembangan dalam hal implementasi algoritma prediksi kelulusan. Peneliti melakukan penyelesaian masalah tersebut dengan membangun model prediksi kelulusan berdasarkan rekam data akademik terhadap pengaruh pemilihan peminatan. Data mining dibutuhkan dalam penelitian ini untuk membentuk pola penyelesaian prediksi, kemudian salah satu pengelompokan data mining berdasarkan tugasnya adalah klasifikasi dan menggunakan machine learning untuk melakukan prediksi kelulusan secara otomatis terhadap data baru agar dapat dilakukan secara berkelanjutan. Dalam melakukan klasifikasi prediksi kelulusan tepat waktu dan terlambat, menggunakan metode decision tree berdasarkan algoritma C4.5. Hasil akurasi yang didapat dengan menggunakan algoritma C4.5 adalah sebesar 94,11%, kemudian faktor yang menjadi root node adalah Jumlah SKS Lulus dan hasil memiliki pengaruh terhadap pemilihan peminatan. Sehingga hasil model prediksi kelulusan ini dapat diterapkan pada aplikasi PIPE.
Kata kunci: algoritma C4.5; decision tree; klasifikasi; prediksi kelulusan.
Abstract:Abstract: PJU (Public Street Lighting), is regulated in the regulation of the Minister of Transportation of the Republic of Indonesia Number 27 of 2018, concerning street lighting. In line with the statement of the village…
ge minister, development of underdeveloped areas and transmigration (Mendes PDTT), eko putro Sandjojo, said that village funds could be used to make street lamps for villages that do not have street lights. The area of the northern ring road, sub-district of datuk bandar timur in the direction of the port of Teluk Nibung, part of the road has no street lighting at night, plus the road conditions are still classified as red soil. Based on the results of field observations, the team researched making cheap street lamps, by utilizing the basic work system of the joule tief circuit, where the input is 7.4 VDC (in 3.7VDC arranged in series-parallel) with a lamp load of 12 watts multiplied by 4 lamps, with a total load. 48 watts, get the frequency measurement results of 12.30 Khz and Iout 0.14A, and Vpk-pk 82 V. Charging input is 7.4VDC, the current 19800mAh in the battery is divided by the maximum current of the solar module 1 watt, which is 160mA, so the charging time the battery is in the range of 2.1 hours. For the design of the lampposts that were made, using a paralon pipe with a length of 5m, with a circle diameter of 9cm, and a second pole connecting 1.5 m long with a circle diameter of 5cm.
Keywords: Cheap street lights; joule tief series; 1 watt solar panel
Abstrak : PJU (Penerangan Jalan Umum), diatur dalam peraturan mentri perhubungan republik indonesia nomor 27 tahun 2018, tentang alat penerangan jalan. Sejalan dengan pernyataan mentri desa, pembangunan daerah tertinggal dan transmigrasi (Mendes PDTT) eko putro Sandjojo, mengatakan bahwa dana desa bisa digunakan untuk membuat lampu jalan bagi desa yang tidak memiliki lampu jalan. Wilayah jalan lingkar utara, kecamatan datuk bandar timur searah menuju pelabuhan teluk nibung, sebahagian dari jalan tersebut tidak memiliki penerangan jalan dimalam hari, ditambah dengan kondisi jalan yang masih tergolong tanah merah. Berdasarkan hasil pengamatan dilapangan maka tim meneliti membuat lampu jalan murah, dengan memanfaatkan dasar sistem kerja rangkaian joule tief, dimana untuk input 7,4 VDC (in 3,7VDC disusun seri-paralel) dengan beban lampu 12 watt dikalikan 4 lampu, dengan total beban 48 watt, mendapati hasil pengukuran frequensi 12,30 Khz dan Iout 0,14A, dan Vpk-pk 82 V. Pengisian input 7,4VDC didapati, arus 19800mAh pada baterai dibagi dengan arus maksimum modul surya 1 watt, yaitu 160mA, sehingga lama pengisian baterai berada pada rentang waktu 2,1 jam. Untuk rancangan tiang lampu yang dibuat, menggunakan pipa paralon dengan panjang 5m, dengan diameter lingkaran 9cm, dan penyambung tiang kedua sepanjang 1,5 m dengan diameter lingkaran 5cm.
Kata Kunci : Lampu jalan murah; rangkaian joule tief; panel surya 1 watt
Abstract:This study discusses the design of a mobile crane to lift damaged vehicles with a capacity of 6 tons with the aim of analyzing the planning of the lifting system used ; planning the rope to be used ; transmission system…
; calculation of the components of the lifting equipment used ; calculation of power to rotate the drum ; the tool designed is a mobile crane with a capacity of 6 tons to 6 tons ; and calculating the lifting time. assembly . Type of drive motor with Combustion engine = internal combustion engine , Drive motor power = 192.36 Hp , Drive motor rotation = 2740 rpm , Max lifting capacity = ton , Lifting height = 3 m . Drum with Drum diameter = 300 mm , Drum pitch = 16 mm , Drum length = 300 mm , Maximum compressive stress of material = 1600 kg/cm 2 The maximum compressive stress that occurs = 1173.6 kg/cm 2 . Steel rope ( Rope type = 6 x 9 x 1 fc , Rope cross-sectional area = 1173.6 kg/cm 2 . = 2.9 cm 2 , Wire diameter = 1.18 mm , Diameter of steel rope = 26.3 mm , Actual fracture stress = 180/199 kg/mm 2 , Fracture loading = 39100 kg/mm 2 , U nut rope usage = 88.2 months ); Pulley ( Type of pulley = fixed pulley , pulley diameter = 4.8 cm , Width of the pulley = 2.2 cm ); Hook ( Hook type = single hook with thread , Thread type on hook = M 42. Length of threaded hook = 42 mm , Number of threads on the hook = 9 threads , Distance between threads = 4.5 mm , Outer diameter on thread = 42 mm , Effective diameter on the thread = 39 mm , Core diameter on thread = 37.129 mm , Hook material = wrought carbon steel SF 60 , Permissible contact stress = 3 kg/mm 2 , The contact stress that occurs = 2.7 kg/mm 2 ); Boom ( Boom type = boom with fixed arm , Number of booms = 2 pieces , Boom length = 4 m , Boom weight = 1568.66 kg , Boom material = steel pipe , Tensile strength of the material = 40 kg/mm 2 , Tensile strength that occurs on the boom = 10 kg/mm 2 ); Gears ( Types of gears = worm gear , type of gear on the shaft material = cross gear , Type of chain used = hinge chain , chain weight per meter = 16.5 kg )