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Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed Saputra, Widodo; Hardinata, Jaya Tata; Wanto, Anjar
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.484 KB) | DOI: 10.31289/jite.v3i1.2704

Abstract

Unemployment is a big problem faced by the Indonesian people from year to year besides poverty. Therefore it is necessary to predict the level of open unemployment in Indonesia so that later the government and private parties have the right references and references to work together to overcome this problem. The prediction method used is Resilient Backpropagation which is one method of Artificial Neural Networks which is often used for data prediction. The research data used is open unemployment data according to the highest education completed in 2005-2018 based on the semester obtained from the website of the Indonesian Central Bureau of Statistics. Based on this data a network architecture model will be formed and determined, including 12-6-2, 12-12-2, 12-18-2, 12-24-2, 12-12-12-2, 12-12-18 -2, 12-18-18-2 and 12-18-24-2. From these 8 models after training and testing, the results show that the best architectural model is 12-18-2 (12 is the input layer, 18 is the number of hidden neurons and 2 is the output layer). The accuracy of the architectural model for semester 1 and semester 2 is 75% with an MSE value of 0.0022135087 and 0.0044974696
Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed Widodo Saputra; Jaya Tata Hardinata; Anjar Wanto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i1.2704

Abstract

Unemployment is a big problem faced by the Indonesian people from year to year besides poverty. Therefore it is necessary to predict the level of open unemployment in Indonesia so that later the government and private parties have the right references and references to work together to overcome this problem. The prediction method used is Resilient Backpropagation which is one method of Artificial Neural Networks which is often used for data prediction. The research data used is open unemployment data according to the highest education completed in 2005-2018 based on the semester obtained from the website of the Indonesian Central Bureau of Statistics. Based on this data a network architecture model will be formed and determined, including 12-6-2, 12-12-2, 12-18-2, 12-24-2, 12-12-12-2, 12-12-18 -2, 12-18-18-2 and 12-18-24-2. From these 8 models after training and testing, the results show that the best architectural model is 12-18-2 (12 is the input layer, 18 is the number of hidden neurons and 2 is the output layer). The accuracy of the architectural model for semester 1 and semester 2 is 75% with an MSE value of 0.0022135087 and 0.0044974696
Penerapan Metode Resilient dalam Menentukan Model Arsitektur Terbaik untuk Prediksi Pengangguran Terbuka di Indonesia Widodo Saputra; Jaya Tata Hardinata; Anjar Wanto
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2019: Peran Sains Data Dari Perspektif Akademisi dan Praktisi
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Metode Resilient merupakan salah satu metode Jaringan Saraf Tiruan yang sering digunakan untuk melakukan sebuah prediksi, terutama pada data times series (berkelanjutan). Metode ini mampu melakukan prediksi dengan belajar dari data-data yang sudah pernah terjadi sebelumnya dengan terlebih dahulu membentuk model arsitektur jaringan yang tepat. Oleh karena itu, penelitian ini akan membahas tentang model arsitektur jaringan terbaik yang tepat untuk melakukan prediksimenggunakan metode Resilient. Metode ini pengembangan dari metode Backpropagation. Data yang digunakan pada penelitian ini adalah data pengangguran terbuka menurut pendidikan tertinggi yang ditamatkan di Indonesia tahun 2005-2018 berdasarkan semester, yang bersumber dari Survei Angkatan Kerja Nasional (Sakernas) yang diperoleh dari website Badan Pusat Statistik Indonesia. Berdasarkan data ini akan dibentuk dan ditentukan model arsitektur jaringan yang digunakan dengan metode Resilient, antara lain 12-6-2, 12-12-2, 12-18-2, 12-24-2, 12-12-12-2, 12-12-18-2, 12-18-18-2 dan 12-18-24-2. Dari 8 model ini setelah dilakukan pelatihan dan pengujian diperoleh hasil bahwa model arsitektur terbaik adalah 12-18-2 (12 adalah input layer, 18 adalah jumlah neuron hiden layer dan 2 adalah output layer). Tingkat akurasi dari model arsitektur untuk semester 1 dan semester 2 ini adalah 75% dengan nilai MSE sebesar 0,00052083 dan 0,00105823.
Sistem Pendukung Keputusan dengan Metode Electre II Dalam Menentukan Aplikasi Belanja Online Terbaik Nur Hasanah Lubis; Irfan Sudahri Damanik; Widodo Saputra
BEES: Bulletin of Electrical and Electronics Engineering Vol 2 No 3 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v2i3.1382

Abstract

With the development of the times, online shopping applications have begun to emerge that make it easier for buyers and sellers to sell and buy goods without the hassle of running. But with so many applications that make people confused about which application is best used. Therefore the author wants to help the community in determining the best application by using a decision support system using the Electre II method, it is hoped that this research can help recommend the best online applications for the community.
Application of Data Mining in Determining Social Assistance Recipients With C4.5 Algorithm in Maligas Mountain District Rika Nur Adiha; Sundari Retno Andani; Widodo Saputra
International Journal of Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v10i3.59

Abstract

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.
Otomatisasi Suhu Tubuh Menggunakan Sensor Suhu dan Buzzer Berbasis Arduino Uno Ahmad Yani; Indra Gunawan; Rafiqa Dewi; Widodo Saputra; Zulia Almaida Siregar
JUKI : Jurnal Komputer dan Informatika Vol. 3 No. 2 (2021): JUKI : Jurnal Komputer dan Informatika, Edisi November 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v3i2.67

Abstract

Menjaga kesehatan merupakan hal yang sangat penting bagi kehidupan terutama di masa pandemi Covid- 19 sekarang. Salah satu protokol yang diberlakukan oleh pemerintah bagi masyarakat yang berkegiatan di ruang umum atau fasilitas terbuka adalah memeriksa suhu tubuh. Dalam penelitian ini dibuat rancang bangun alat pengukur suhu tubuh berbasis arduino uno dan hasilnya akan ditampilkan di LCD Digital. Alat pengukur suhu tubuh ini memanfaatkan sensor GY-906 untuk mengukur suhu dalam satuan celcius dan Buzzer sebagai sensor alarm. Data suhu tubuh juga ditampilkan pada LCD 16x2 (cm) yang terdapat pada alat. Hasil pengujian alat ukur suhu tubuh akan di coba langsung ke pegawai dan siswa. Alat pengukur suhu tubuh ini diharapkan dapat dipasang di lokasi bimbingan belajar untuk melakukan pemeriksaan terhadap pegawai dan siswa yang akan beraktifitas di tempat tersebut, operator dapat berdiri di meja kendali sehingga tidak kontak langsung dengan pegawai dan siswa maupun tamu yang datang ke tempat bimbingan belajar tersebut
Pelatihan dan Uji Kompetensi Ujian Nasional Desain Web Tingkat di SMK Teladan Pematangsiantar Rafiqa Dewi; Widodo Saputra
JPM: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

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Abstract

Web design is usually applied to digital media such as websites. This will relate to web development which is the development of a website that demands functionality and requires the essence of art in design. Indirectly, this website design includes the terms used in making designs. Focus on the appearance, but will not eliminate the main function of the website that is being designed. Able to provide additional convenience for visitors and website readers. For the purpose of making your own web design by becoming one of the communication media. This goal will convey information in real time and quickly. Meanwhile, in making your own design, the website requires special skills. Therefore, web design training is deemed necessary to be applied to entities that concentrate in the field of software engineering since school age. The training and competency test for the National Examination is carried out using the method of delivering lectures on web design material, questions and answers and discussions, practicum and evaluation of the results of the practicum.
Clustering Pada Pelanggan Perusahaan Air Bersih Dengan Algoritma K-Means Arif Ramadhan Siregar; Sundari Retno Andani; Widodo Saputra
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.348 KB) | DOI: 10.30645/brahmana.v1i1.2

Abstract

progress, and increasing living standards have caused the need for clean Clean water services are a very important component of public services. Water is a basic need that cannot be separated from human life. The supply of clean water is of particular concern to every country in the world, including in Indonesia. Population growth, development water to continue to increase. Technological improvements and rapid population growth are now encouraging mineral water companies to continue to innovate and expand their market network in order to continue to survive and compete with companies - companies. A product that can be desired by consumers must be able to provide satisfaction to consumers who consume these products. In realizing the goals to achieve customer satisfaction, companies must be able to learn in advance about products that consumers are interested in, habits carried out by consumers, why consumers are interested in consuming these items, and how many products are needed by consumers. The author wants clean water customers which will be clustered using the K-means algorithm to do which provinces will get customers of clean water companies.
Pelatihan Aplikasi Berbasis Web Pada SMK Teladan Pematangsiantar Sebagai Upaya Meningkatkan Kemampuan Vokasi Widodo Saputra; Jaya Tata Hardinata; Harly Okprana
Jurnal TUNAS Vol 1, No 2 (2020): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.758 KB) | DOI: 10.30645/jtunas.v1i2.17

Abstract

Internet is the media that has the most up to date information. Now as time grows many web-based applications that can be used as needed. The increasing development of technology is the growing number of human resource needs that are reliable and creative that can provide the latest innovations that can help to suit the needs. The young generation is a very competent generation to be a reliable human resource for example is students. To improve the quality of students to technological developments need to be held special vocational training program. This training Program provides a good impact on students. From pre test results and post test can be seen before training until after training. The results after the training increased rapidly so that it can be concluded through this training the ability of students in the field of vocational get good results
PENGUATAN KOMPETENSI DALAM PEMBELAJARAN PHP DAN MYSQL BAGI SISWA JURUSAN MULTIMEDIA SMK NEGERI 1 SIANTAR Abdi Rahim Damanik; Dedy Hartama; Widodo Saputra; Jaya Tata Hardinata
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2022): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v5i2.802-807

Abstract

Pengembangan ilmi serta teknologi sekarang semakin kedepan akan semakin maju karena sangat dibutuhkannya pengetahuan berbasis website. Pelatihan pembuatan website dengan PHP dan MySQL yang dilakukan pada SMK Negeri 1 Siantar dikarenakan pada SMK Negeri 1 tersebut dirasa belum maksimal dalam pengetahuan teknologi informasi yang telah diajarkan dikarenakan kondisi pandemi dan belajar daring, maka sebab itu pengabdian ini dilakukan. Adapun peserta dalam pengabdian ini adalah Siswa SMK Negeri 1 Siantar . Dalam kegiatan pengabdian ini  yaitu memberikan suatu pelatihan dan pendampingan untuk pembuatan Website dengan menggunakan PHP dan MySQL kepada para siswa dan siswi di SMK Negeri 1 Siantar. Adapun manfaat dari pelatihan ini adalah diharapkan dapat meningkatkan kemampuan para siswa-siswi SMK Negeri 1 Siantar dalam membuat website perpustakaan berbasis database mysql. Pentingnya pelatihan ini bagi SMK Negeri 1 Siantar karena dengan melihat perkembangan zaman tentang teknologi yang canggih oleh sebab itu siswa-siswi SMK Negeri 1 Santar juga dituntut untuk dapat menggunakan teknologi tersebut agar dalam proses ujian kompetensi keahlian nantinya mendapatkan nilai yang baik
Co-Authors A'an Cun Abdi Rahim Damanik Abdi Rahim Damanik Agus Perdana Windarto Ahmad Yani Aldo Daniel Purba Anggi Martua Valentino Sianipar Arif Ramadhan Siregar Azhar Fadilah Zuhri Bahrudi Efendi Damanik Bahrudi Efendi Damanik Bahrudi Efendi Damanik Berkat Iman Setia Dawolo Bintang, Daud Budi Paul Sitompul Damanik, Abdi Rahim Dedy Hartama Dedy Hartama Dedy Hartama Dedy Kristianto Lumbantobing Dewi, Rafiqa Dhea Halimah Eka Irawan Fahmi Firzada Firzada, Fahmi Hardinata, Jaya T Hartama, Dedy Hendry Qurniawan Hendry Qurniawan Heru Satria Tambunan Heru Satria Tambunan Iin Parlina Iin Parlina Iin Parlina Ika Purnama Sari Indra Gunawan Indra Gunawan Indra Gunawan INDRA GUNAWAN Indra Gunawan Irfan Sudahri Damanik Jaya Tata Hardinata Khairwa Bakhsar Kusuma, Rizky Tri Lulu Apriliani Lumbantobing, Dedy Kristianto Luvita Yolanda Hutabarat M Safii M. Safii Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Ridwan Lubis Nasution, Della Fatricia Nasution, Zulaini Masruro Nur Hasanah Lubis Okprana, Harly Oktaviani, Selli Paul V M Poningsih Poningsih Poningsih, Poningsih Riahta Ulina Br. Barus Rika Nur Adiha Robertus Silalahi Robiansyah, Wendi Rut Indra Lita Sinaga Sibarani, Horainim Silaban, Herlan F Sitompul, Wati Rizky Pebrianti Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun, Solikhun Sri Muliani Damanik Sri Nuraini Sri Rahayu Ningsih Sumarno Sumarno . Sumarno Sumarno Sumarno Sumarno Sundari Retno Andani Sundari Retno Andani Surya Darma Surya Darma Veithzal Rivai Zainal Wanto, Anjar Yovan Bastian Zulaini Masruro Nasution Zulia Almaida Siregar