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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Sosial dan Ilmu Politik (JISIP) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INTECOMS: Journal of Information Technology and Computer Science KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Humanities and Social Studies Jurnal Abdi Ilmu Jurnal Elektro dan Telkomunikasi JURNAL MAHAJANA INFORMASI CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jatilima : Jurnal Multimedia Dan Teknologi Informasi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Scientia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) Indonesian Journal of Education And Computer Science Jurnal Ilmiah Multidisiplin Indonesia International Journal of Industrial Innovation and Mechanical Engineering International Journal of Information Engineering and Science Bulletin of Engineering Science, Technology and Industry Jurnal Ekonomi dan Bisnis
Darmeli Nasution
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Artificial Neural Network Model In Forecasting Post-Covid-19 Aviation Business Development Using Multi Layer Perceptron (MLP) Romani, Daniel D.; Nasution, Darmeli; Syahputra, Afandi; Usman, Usman; Prayitno, Hadi
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3384

Abstract

Aviation business forecasting is one way to find out the next steps that must be taken by aviation business actors as well as steps that the government must take to improve the country's economy, especially from the air transportation sector. before the covid-19 pandemic, the global aviation industry experienced a positive trend, where the volume of global passenger flow in december 2019 increased by 4.9% based on the calculation of revenue passenger kilometers, but since covid-19 began to emerge in early 2020, the movement the global rpk experienced a drastic decline until march 2020, then from april 2020 it experienced an increasing trend again, but lower than in 2019. To be able to provide recommendations for industry players aviation for study material and policy implementation to continue to improve flight performance, especially in Indonesia. MLP is also able to show better performance than the classic arima model. In this study, the mlp model will be used to forecast post-covid-19 flight conditions which will provide research results about the description of the condition of the aviation industry for the future, especially in responding to the challenges of the post-covid-19 aviation industry. to be able to provide recommendations for industry players aviation for study material and policy implementation to continue to improve flight performance, especially in indonesia.
Analysis of Damage to Localizer Equipment (Case Study of Sultan Iskandar Muda Airport, Banda Aceh) Asri Santosa; Mutiara Widasari Sitopu; Donna N. M Sirait; Darmeli Nasution
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 3 (2021): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i3.2546

Abstract

In the world of aviation, localizer equipment is an important piece of equipment is important in the instrument landing system. If the localizer equipment is damaged, it will disrupt the flight process that occurs at the airport. For this reason, to keep the localizer equipment in optimal condition, the technicians must always check the condition of the equipment so that it is always in good condition when it is run. If the localizer equipment is damaged, the technician must quickly where the damage to the equipment is. The process of checking the condition of the connected RS232 DB9 serial cable, and checking the voltage on the serial port on the LCP module. If the RS232 DB9 serial cable is damaged or disconnected, you must replace the RS232 cable, then when checking the voltage of the LCP module serial port, the voltage on the LCP port must match the standard, which is 8 V if the voltage drops, the LCP module must be replaced immediately.
Enhance Web-Based Job Search Recommendation System of Hybrid-Based Recommendation Darmeli Nasution; Zulham Sitorus
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 3 (2021): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i3.2579

Abstract

The main activity carried out daily for an individual to earn money is by working. Finding a job that matches our educational background is not easy. Many individuals do not know their abilities and the limited information on job vacancies is also an obstacle for applicants who want to find work. Therefore, a 'toolkit is needed that can provide recommendations on what fields of work are by the educational background in question. The hybrid approach method is to combine collaborative-filtering techniques (decision tree algorithm) and content-based (nearest neighbor algorithm). The decision tree algorithm is used to classify the fields of work while for job recommendations, the nearest neighbor algorithm is used. In the nearest neighbor, the similarity formula is used to calculate the proximity between applicants and job vacancies based on matching the existing weights and attributes. The output generated from this system is a list of job recommendations that match the applicant's educational background.
Co-Authors Ahmad Akbar Ahmad Akbar, Ahmad Akbar, Muhammad Caesar Amren S, Hairul Amril, M. Amrizal Lubis Andi Ernawati Andysah Putera Utama Siahaan Arie Candra Panjaitan Asri Santosa Atmaja, Niko Surya Ayu Nuriana Sebayang Barutu, Sipra Bela Firmantoyo Devina, Annisa Donni Nasution Dwiyanto . Edo, Edo Eko Hariyanto Eswin Syahputra Farta wijaya, Rian Fernando, Ahmad Hadi Prayitno Hafni Hafni Haralayya, Bhadrappa Herdianto Herdianto Herdianto Herdianto, Herdianto Heri Kurniawan, Heri Hermawan, Bagus Indrayani, Maida IQBAL , MUHAMMAD Iqbal Wiranata Siregar, Jimmy Irwan Iswandi Idris Ivana Wardani Jabar, Ami Abdul Jesica Uli Panggabean Juliyandri Saragih Khairul Khairul Khairul, Khairul Khumairoh, Annisa Kurniawan, Fahmi Leni Marlina Liber Tommy Hutabarat Lubis, Darma Putra Ludfia Anggi Safitri Sinaga Marsya, Alviona Mentari, Risca Sri Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Muttaqin Muhammad Syahputra Novelan Muhammad Wahyudi Mutiara Widasari Sitopu Nasywa, Khairun Pane, Danang Putra Panjaitan, Albert Parhusip, Nelviony Permata, Dinda Suci Aliya Pranoto, Sugeng Pulungan, Ahmad Fakhrizal Ramatika, Desy Rian Farta Wijaya Rian Putra, Randi Rizaldy Khair Rizky Rinaldi Rizwanul Yakin Naution Naution Romani, Daniel D. S Solikhun Sahputra, Fajar Sari, Ayu Ofta SARIFUDIN Sebayang, Ayu Nuriana Septiadi, Fahri Siburian, Ramli S Simanjuntak, Yosei Ht Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sipra Barutu Sirait, Donna Nurhaida Masdiana Siregar, Andree Rizky Yuliansyah Sitorus , Zulham Sitorus, Mhd Arfan Sitorus, Zulham Situkkir, Meiarni Solly Aryza Sri Wahyuni Sugeng Pranoto Suherman Suherman Sulistianingsih, Indri Sutiono, Sulis Syahputra, Afandi Syahrul R, Syahrul Syamsiar, Syamsiar Tiara Sylvia Titin Mega Andini Siahaan Tuti Andriani Usman Usman Wadly, Fachrid Wahyudi Sihombing, Ridho Wardani, Ivana Wijaya, Rian Farta Wirda Fitriani Yahya, Susilawati Yoga Yuniadi Yusman, Yanti Zalukhu, Anzas Ibezato Zhafirah Rizki Fadilah Lbs Zuhri Ramadhan