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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Seminar Nasional Informatika (SEMNASIF) SMATIKA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI J I M P - Jurnal Informatika Merdeka Pasuruan INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Mantik E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Sistem Komputer & Kecerdasan Buatan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) IAIC Transactions on Sustainable Digital Innovation (ITSDI) KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks)
Septi Andryana
Universitas Nasional
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

 1 
E-Recruitment Menggunakan Metode Simple Additive Weighting dan Algoritma K-Nearest Neighbor Tasya Khaerani Janubiya; Septi Andryana; Ira Diana Sholihati
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.434

Abstract

Along with the increasing number of PT Midi Utama Indonesia Tbk outlets, the company's human resource needs are also increasing. Therefore, the recruitment of new employees is very important to support the company's operations. In order to select prospective new employees to fill various positions needed by the company. Recruitment of new employees has not been carried out professionally. This is because there is no systematic method to assess the suitability of new employees. The application of a decision support system uses a combination of the Simple Additive Weighting (SAW) method and the K-Nearest Neighbor (K-NN) algorithm. This method determines the weight value and ranking results of each candidate. Then, the company conducts the process of selecting candidate data based on the value closest to the old prospective employee to determine the final classification results. In this case, prospective new employees who qualify as employees are based on predetermined criteria. Then this decision support application is built using the PHP programming language and MySQL database. The conclusion in this study by combining the SAW and K-NN methods in the recruitment process is very helpful because the administrative and assessment processes are carried out online. So that decision makers can make choices quickly and accurately.
Perbandingan Algoritma Naïve Bayes Dan K-Nearest Neighbor pada Analisis Sentimen Pembukaan Pariwisata Di Masa Pandemi Covid 19 Defrimont Era; Septi Andryana; Albaar Rubhasy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.590

Abstract

Covid-19 is a trending topic of conversation on social media today. one of the trending topics on social media in 2021 in the midst of the covid 19 pandemic related to tourism destinations that will reopen amid the increase in daily cases of covid 19 in a number of areas of Indonesia in particular. The implementation of the government's policy of opening tourist destinations has drawn various arguments or opinions among the public. especially social media users by providing arguments or tweets related to opinions through social media such as Instagram, Twitter, and Facebook. In this study, an analysis of the sentiments of the Indonesian people, especially social media users, was carried out regarding government policies related to the opening of tourism in the midst of the COVID-19 pandemic using the Naive Bayes and K-Nearest Neighbor (KNN) algorithms and knowing the comparison of the performance of the two algorithms. This dataset used is taken through various social media platforms with a data crawling process. The dataset used is a sql file. the number of datasets used to process data processing in the public sentiment analysis application about the opinion of opening tourism in the midst of the covid 19 pandemic on twitter as many as 570 tweets using 12 hashtags namely #Desabisa, #desawisata, #DiIndonesiaAja, #EraNewNormal and #LabuanBajo #MulaiDariDesa #PPKMDiPerpanjang #SobatParekraf #PlacesTourism #Bali Tours #Banyuwangi Tours #Jogja Tours. In the research conducted, the implementation of the results of the application of the Naive Bayes algorithm and the K-Nearest Neighbor (KNN) algorithm in the sentiment analysis of the opening of tourism destinations during the covid-19 pandemic was successfully carried out by producing the highest Naive Bayes accuracy rate of 75.53%, precision the highest positive is 71%, the highest negative precision is 25%, the highest positive recall is 99% and the highest negative recall is 14%. As for the K-Nearest Neighbor (KNN) algorithm, the highest accuracy rate is 48.66%, the highest positive precision is 69%, the highest negative precision is 14%, the highest positive recall is 69% and the highest negative recall is 28%. The level of accuracy in the comparison of the two algorithms shows that the Naive Bayes algorithm has the best performance with an accuracy level compared to the K-Nearest Neighbor algorithm in analyzing the sentiments of social media users about the opening of tourism during the COVID-19 pandemic.
Co-Authors Achmad Riyadi Aditya Pratama Aditya Pratama Adryan Syahputra Agung Sembiring Agus Iskandar Ahmad Fahreza Akbar Mulia Ardiansyah Alam Supriyadi Albaar Rubhasy Aldisa, Rima Tamara Aldjawad, Mohamad Ali, Muhammad Rifqi Alma Bryan Fitri Finika Andrianingsih Andrianingsih Angga Pradihta Anna Thasyia Puspita Aprilia Tika Rahayu Apriliani Wulandari Arif Setyo Pambudi Aris Gunaryat Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati, Aris Avicienna Adhi Narendro Purnomo Azharandi, Nadhif badriawan sukma Bagus Tegar Dwi Irianto Bagus Widiyanto Bayu Setyawan Ben Rahman Bimo Anggoro Seno Bimo Salasa Putra Budi Dwi Kurniawan Caniago, Diana Defrimont Era Deny Hidayatullah Deny Hidayatullah Dewantoro, Danang Dhani Farhansyah Diana Caniago Dicky Pradana Abdulrahman Julianto Dion R A Mamisala Dwi Yulian Rizki Saputra Eri Mardiani Farhany, Nadia Muis Fauziah Fauziah Febfiyana Febfiyana Fegie Yoanti Wattimena Fendy Sulistyo Finika, Alma Bryan Fitri Freddy Artadima Silaban Ghifari Yusuf Abdillah Gio Fandi H Nainggolan Guntur Wicaksono Gusti Karnawan Haris Amanullah Ina Agustina Ira Diana Sholihati Ira Diana Sholihati irfan muttaqim Istiarati Ayustina Anjaswari Jhovie Afriyany Komala Sari, Ratih Titi Krisna Ruliyanto Lukman Medriavin Silalahi M Alwi Saepul Zaman Mahendra, Wahyu Eka Maurizka Zahra Devita Mikhael Kristian Misria Attanggo Mochamad Naufal Shofy Mohamad Aldjawad Mohamad Didit Supriyadi Muhamad Afriyan Kahfi Muhammad Ikbal Muhammad Ikbal Muhammad Reza Akbar Muhammad Rifqi Ali Muhammad Taufiq Ismail Mursyid Salim Nadhif Azharandi Nadia Aulia Nadia Muis Farhany Nadila, Tika Aenun Naif Farhan Naqiyah, Shofy Navita Putri Purwanti Nur Hayati Nur Widya Pratiwi Nur, Ridwan Pramesti Sifa Aisya Nuha Pratiwi, Ridha Puspita, Anna Thasyia Putra, Ricky Syah Rafli Ramadhan Gunawan RAHAYU, FAJAR Rahmat Azyad Samallo Ratih Titi Komala Sari Ratih Titi Komala Sari Ratih Titi Komala Sari Ratih Titi Komala Sari Ratih Titi Komala Sari, Ratih Titi Komala Ratih Titi Komalasari Rehan Aria Khalif Reni Koibur Resa Wahyu Adi Pujianto Ricky Syah Putra Ridha Pratiwi Ridwan Baharudin Ridwan Nur Rifqi Firmansyah Rifqi Zulfikar Rima Tamara Aldisa Rima Tamara Aldisa Rivan Wahyuda Riyadi, Achmad Rizal Maulana Yusuf Effendi Rizki Insani Maulana Ryan maulana Sari Ningsih Selamet Kurniawan Setia Sri Anggraeni Setiawan, Muhammad Afif Setiyo Budiyanto Sholihati, Ira Diana Shynta Octavia Sita Widad Muqsithoh Supriyadi, Alam Supriyadi, Mohamad Didit Syahbani Farhan Syahputra, Adryan Tasya Khaerani Janubiya Teguh Riyono Adi Tika Aenun Nadila Topan Yulianto Ucuk Darusalam Wafiqah Setyawati Wahyuni Wahyu Eka Mahendra Winarsih Winarsih Winarsih Winarsih Winarsih Winarsih Yuda Aji Pramukti Yusril Adam Mahendra Yusuf Effendi, Rizal Maulana Zaman, M Alwi Saepul