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IMPLEMENTASI SISTEM CERDAS LEAST SQUARE DALAM MERAMALKAN PEMENUHAN KEBUTUHAN STOK LISTRIK DI KOTA LHOKSEUMAWE Muhammad Sadli; Safwandi Safwandi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 4 No 2 (2017): Jurnal Ecotipe, Oktober 2017
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v4i2.8

Abstract

PLN (Perusahaan Listrik Negara) is one of the BUMN (Badan Usaha Milik Negara) in charge of providing electricity supply needs with the best service quality for the community. The growth of electricity demand for residents of Lhokseumawe City by 2020 is expected to increase to 10%. Based on these predictions, PLN must be able to forecast patterns from data needs lsitrik which has been then used to project the data that will come in order to give the best pelyanan for the community. Forecasting is one of the sciences in the field of intelligent systems that can predict long-term electrical demand in the city of Lhokseumawe. The least square forecasting model can be one of the components supporting the economic growth of Lhokseumawe City. Variables to be predicted in the fulfillment of electricity stocks are seen from household, industrial, commercial and public expenses. Furthermore, the need for electricity stock from each region will be seen from the installed capacity, power capable (MW) and peak load. Then the least quare forecasting model will determine the equation of data trend based on the data needs of electricity that has been then used to project the data needs of electricity to come. This research is expected to produce accurate forecasting value so that can be used as a reference for PLN party in taking policy. Proper forecasting can help PLN to save production cost due to mis-distribution. The specific target of this research is to know the quality of service PLN Lhokseumawe to the public so that the distribution of electricity is always stable. The long-term goal of implementing this smart forecasting system is to help improve the quality of PLN's services in meeting the long-term electricity needs of the people of Lhokseumawe.
MODEL KEPUTUSAN FUZZY SIMPLE ADDICTIVE WEIGHTING DALAM PEMILIHAN BARANG ELEKTRONIK DI ILTIZAM LHOKSEUMAWE Muhammad Sadli
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 3 No 2 (2016): Jurnal Ecotipe Oktober 2016
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v3i2.21

Abstract

Docking electronic devices with information technology has been growing very rapidly both with notebook brand, price and specifications of various kinds. Notebook particular laptop has been progressing quite rapidly at this time. Both in terms of hardware, software, and design and specifications offered. This can be demonstrated by the high sales results Notebook in stores Lhokseumawe. Consumers today are not motivated by only one kind of note book in circulation, but can choose more than one in choosing and have the electronic devices. Based on the number of products presented to consumers, ranging from the brand, the hardware specifications, the types of notebooks, and functional from the notebook, consumers are confused when assigning a laptop to be purchased. This shows that when buying a notebook should be tailored to the needs of consumers. the criteria used is the price, screen, processor, vga, memory and hard drive. Difuzzifikasi value is the price. Process models fuzzification stage is inclusion criterion value, the value fuzzification price and value are not in fuzzifikaasi, the second stage of calculating the value of the normalization matrix, revenue weight value, and the final calculation of the value of the preference. The results of the model simple addictive fuzzy weighting in the selection of electronic goods is the highest value of each consumer in choosing a notebook electronic goods.
ALGORITMA DJIKTRA UNTUK MENENTUKAN JALUR TERPENDEK PADA DISTRIBUSI AIR MINERAL Muhammad Sadli
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 2 No 2 (2015): Jurnal Ecotipe, Oktober 2015
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v2i2.37

Abstract

Implementation issues determine the shortest route to the water distribution using the algorithm Djiktra. Distribution of mineral water is emphasized in the search by using the shortest path, which will look for some alternative solutions to the completion of a more effective and efficient. problems during this time is crossed by the shortest path to get to the destination, or whether it can keep costs to a minimum and also whether it can reduce the travel time to be traversed. Results of algorithm implementation Djiktra here to show where the optimum route. Paths are achieved by using the shortest path 21 cities input is: [the city of Lhokseumawe, Kab. North Aceh district. East Aceh, Langsa, Kab. Aceh Tamiang, Kab. Gayo Lues, Kab. Southeast Aceh, City Subussalam, Kab. Singkil, Kab. South Aceh District. Southwest Aceh district. Central Aceh district. Nagan Raya, Kab. West Aceh District. Aceh Jaya, Banda Aceh, Kota Sabang, Kab. Aceh Besar, Kab. Pidie district. Pidie Jaya district. Bireun. By using the search algorithm generates Djiktra route: [Kota Lhokseumawe, Kab. North Aceh district. East Aceh, Langsa, Kab. Aceh Tamiang, Kab. Gayo Lues, Kab. Southeast Aceh, City Subussalam, Kab. Singkil, Kab. South Aceh District. Southwest Aceh district. Central Aceh district. Nagan Raya, Kab. West Aceh District. Aceh Jaya, Banda Aceh, Kota Sabang, Kab. Aceh Besar, Kab. Pidie district. Pidie Jaya district. Bireun] with a total distance of 2255 kilometers and when input other cases the number of input the city as many as 21 cities also will produce different distances. Djiktra algorithm is an algorithm to determine the shortest path.
DISAIN KONTROLER PI DENGAN DECOUPLING PADA SISTEM KENDALI LEVEL COUPLED TANK Muhammad Sadli
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 1 No 2 (2014): Jurnal Ecotipe Vol.1 No.2 Oktober 2014
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v1i2.49

Abstract

The problems on the Coupled Tank control level is the existence of disturbance in the flow that supplies tank would make unstability response, so it could happen the cross interaction between input and output. PI control is an attractive option when the formulation of the proposed method to the Coupled Tank TITO system. PI control has the ability to maintain a steady state value of the response of the disturbance. In this study, it use Decoupling in cross interaction processes for every tank. Coupled Tank on TITO system can changes transfer function to SISO, so it can minimize the effect of interactions. The good way to design a model is consider the state on that plant, so the desired control model capable save non-linearity from TITO system. The simulations show value of percent overshoot (Mp), settling time (Ts) and steady state error (Ess), of the state of each system was 0%, 38 seconds, and 0.22%.
PENERAPAN MODEL K-NEAREST NEIGHBORS DALAM KLASIFIKASI KEBUTUHAN DAYA LISTRIK UNTUK MASING-MASING DAERAH DI KOTA LHOKSEUMAWE Muhammad Sadli; Fajriana Fajriana; Wahyu Fuadi; Ermatita Ermatita; Iwan Pahendra
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 5 No 2 (2018): Jurnal Ecotipe, Oktober 2018
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v5i2.646

Abstract

Klasifikasi kebutuhan daya listrik untuk masing-masing daerah sangat diperlukan agar dapat menggambarkan kondisi daya yang dibutuhkan. Hal ini sangat penting untuk pelanggan baru yang ingin mengetahui daya yang diberikan, sebaliknya pelanggan lama juga dapat melihat dan menurunkan daya atau menambah daya sesuai dengan kebutuhan. Adapun variable yang di gunakan pada penelitian ini adalah luas rumah, besaran daya listrik yang akan digunakan dan telah digunakan, pendapatan gabungan orang tua (kotor) / bulan, jumlah daya lampu yang ada dirumah, kemudian dilanjutkan dengan klasifikasi perkiraan daya listrik yang berikan. Klasifikasi yang digunakan adalah penentuan golongan Tarif/Daya R-1/450 VA subsidi, R-1/900 VA subsidi, R-1/900 VA-RTM (Rumah Tangga mampu) non subsidi, R-1/1300 VA non subsidi, dan Tarif/Daya R-1/2200 VA non subsidi. Selanjutnya untuk pengujian menggunakan data training sampel sebanyak 20 data sampel dari masing-masing pelanggan yang akan dilihat pengujiannya dengan tetangga yang paling dekat. Untuk sampel daya terdiri dari variable pengujian dan klasifikasi jenis pengelompokan. Pengujian K-Nearest Neighbors (KNN) untuk luas rumah nilai nya 3, besaran daya 3, pendapatan bernilai 2, jumlah daya keseluruhan, 3 dan konsumsi energi yang digunakan adalah 4. Hasil dari penelitian ini adanya aplikasi teknologi dalam model KNN dalam pengelompokan penentuan kebutuhan daya untuk masing-masing daerah di Kota Lhokseumawe.
APLIKASI TEOREMA BINOMIAL NEWTON PADA PERHITUNGAN BILANGAN PECAHAN RADIKAL Sadli, Muhammad; Alwi, Wahida; Azisah Nurman, Try
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 5 No 2 (2017)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.25 KB) | DOI: 10.24252/msa.v5i2.4506

Abstract

Pada artikel ini membahas tentang perhitungan bilangan pecahan radikal melalui penerapan teorema binomial.Teorema binomial merupakan teorema yang menjelaskan mengenai pengembangan eksponen dari penjumlahan antara dua variabel (binomial) berpangkat ????????. Untuk dapat menghitung nilai suatu bilangan pecahan radikal diperlukan deret binomial yang tidak lain merupakan perluasan dari teorema binomial. Deret binomial dapat digunakan untuk menghitung suatu bilangan pecahan radikal  dengan menggunakan sejumlah suku awal dari deret binomial dan menjumlahkan setiap suku-sukunya. Perhitungan nilai dari suatu bilangan pecahan radikal menggunakan penerapan deret binomial merupakan penaksiran terhadap nilai yang sebenarnya.
Analisis Pengaruh Belanja Negara dan Investasi Terhadap Pertumbuhan Ekonomi Indonesia Sadli, Muhammad; Mallongi, Syahrir; Zakaria, Junaiddin
Journal of Accounting and Finance (JAF) Vol. 3 No. 2 (2022): Journal of Accounting & Finance (JAF)
Publisher : Magister Akuntansi Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.307 KB) | DOI: 10.52103/jaf.v3i2.931

Abstract

Penelitian ini bertujuan untuk mengetahui Pengaruh Belanja Negara Terhadap Pertumbuhan Ekonomi Indonesia Dan Investasi Terhadap Pertumbuhan Ekonomi Indonesia. Hipotesis penelitian menggunakan basis teori/konsep, didukung oleh penelitian-penelitian sebelumnya yang mempunyai kesamaan variabel. Penelitian ini dilakukan di Indonesia. Dengan waktu penelitian dilaksanakan selama 2 (Dua) bulan yaitu dari bulan Maret-April 2022 Jenis data yang digunakan adalah data Sekunder. Data diperoleh dengan melakukan dokumentasi. Data yang didapat bersumber dari Badan Pusat Statistik dari tahun 2010-2019. Metode Analasis menggunakan teknik statistik deskriptif, Uji Asumsi Klasik dan regresi linear berganda berbantuan Eviews untuk analisis data. Hasil penelitian menemukan bahwa Belanja Negara berpengaruh positif dan signifikan terhadap Pertumbuhan Ekonomi Indonesia dan Investasi berpengaruh positif dan signifikan terhadap Pertumbuhan Ekonomi Indonesia.