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All Journal Riau Journal of Computer Science JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Mantik Penusa JMM (Jurnal Masyarakat Mandiri) JURNAL EDUCATION AND DEVELOPMENT J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Tunas Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences JPM: JURNAL PENGABDIAN MASYARAKAT Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum Jurnal Sains Teknologi dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Inovasi Jurnal Bangun Abdimas Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Pendidikan Jurnal Pengabdian Harapan Bangsa Jurnal Teknologi Ilmu Komputer Jurnal Teknologi Pendidikan International Journal of Informatics and Data Science
Jeperson Hutahaean
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal Kisaran, Asahan
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Journal : Bulletin of Information Technology (BIT)

 1 
Seleksi Staff IT Menggunakan Metode Preference Selection Index (PSI) Adhicandra, Iwan; Hutahaean, Jeperson; Ruktiari Ismail, Rima; Mulyani, Neni; Hasti, Novrini
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1390

Abstract

To get the right employees and in accordance with the criteria of the company or agency is certainly not easy. Therefore, to get the employees desired by the company or agency, a selection of prospective IT staff in a company is needed so that later the company or agency will get competent IT staff in accordance with their field. The large number of applicants in the company makes it difficult for companies to experience obstacles and difficulties in choosing prospective IT staff. In the selection process, it is often influenced by subjective factors that can lead to the election of incompetent employees. For this reason, an information system is needed that can help companies in selecting prospective IT staff. This system is known as a decision support system. for this study, the Preference Selection Index method is used based on several studies that have been published. The final results of the calculation were obtained the names of candidates in order from rank 1 to 10, namely: Fani, Bunga, Agus, Evan, Putra, Jaka, Dani, Andi, Citra and Intan
Penerapan Metode MOORA Untuk Menentukan Serangan Hama Dan Penyakit Tanaman Kakao Mulyani, Neni; Hutahaean, Jeperson; Aulia Putri Fahdrina, Jihan
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1670

Abstract

− Lubuk Palas Village, precisely in the Banjar Village area, is one of the villages where most of the people make a living as farmers. One type of plantation crop that is cultivated in Lubuk Palas Village is cocoa. However, the productivity of cocoa plants is always decreasing, the problem is pests and diseases. So far, the farmers of Lubuk Palas Village are still using manual methods such as guessing in determining pests and diseases on the cocoa plant. This causes the results to be less accurate and take a long time to determine. Due to the absence of a system that can help farmers in Lubuk Palas Village in overcoming pest and disease attacks on cocoa plants quickly. Therefore, a decision support system is needed using the MOORA method with the calculation of the web-based MOORA method that can make it easier for cocoa farmers in Lubuk Palas Village to determine pest and disease attacks on cocoa plants quickly, and can overcome the losses caused by attacks by nuisance organisms. the cocoa plant. In this study using quantitative methods. The data sources used are based on interviews, questionnaires and observations. Based on the data analysis that has been carried out, it is concluded that fruit-sucking ladybugs (Helopeltis spp) are obtained with a weight value (0.42545616), and fruit rot disease (anthracnose) is obtained with a weight value (0.426163942), these pests and diseases often occur and detrimental to cocoa farmers in Lubuk Palas Village.
Perbandingan Metode ARAS dan TOPSIS untuk Menentukan Siswa Penerima Beasiswa Berprestasi Hutahaean, Jeperson; Mulyani, Neni; Handayani, Masitah; Irianto, Irianto; Irawati, Novica
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2333

Abstract

Proses penentuan siswa yang layak menerima beasiswa berprestasi seringkali hanya berdasarkan seleksi berkas, yang memakan waktu lama dan dapat menghasilkan keputusan yang kurang akurat. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan yang mempercepat proses seleksi siswa penerima beasiswa berprestasi. Metode yang digunakan dalam penelitian ini adalah ARAS (Additive Ratio Assessment) dan TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Kedua metode ini dipilih karena mampu menyeleksi alternatif terbaik berdasarkan pembobotan dan memilih tujuan berdasarkan kriteria yang berbeda, yaitu benefit dan cost. Metode ARAS menghasilkan ranking berdasarkan perbandingan fungsi utilitas alternatif dengan nilai fungsi utilitas optimal, sementara metode TOPSIS menghasilkan ranking berdasarkan jarak terpendek dengan solusi ideal positif dan jarak terpanjang dengan solusi ideal negatif. Dari nilai-nilai tersebut, alternatif yang memenuhi kriteria ditetapkan sebagai siswa penerima beasiswa berprestasi melalui perhitungan menggunakan metode ARAS dan TOPSIS. Hasil uji korelasi Rank M Arsya Almusa menunjukkan nilai 1,0546 untuk ARAS dan 0,8739 untuk TOPSIS. Hasil perhitungan secara manual dan melalui sistem memberikan hasil yang sama, sehingga sistem dapat digunakan untuk menentukan siswa penerima beasiswa berprestasi.
Co-Authors Aandanu Aandanu Abdul Karim Abdul Karim Ade Mayhaky Afdawiah, Rabiatul afrisawati, Afrisawati Agi Candra Bramantia Agus Perdana Windarto Ahmad Zein Hasibuan Akmal Nasution Alpionita , Ella Ananda, Dewi Anggara, Nadia Ayu Agustri Arridha Zikra Syah Aulia Kartika Aulia Kartika Aulia Khairani Nasution Aulia khairani Nasution Aulia Putri Fahdrina, Jihan Ayu Ambarwati Ayu Handayani Azmi Dwi Andira Putri, Aulia Badaruddin, Muliati Bella Putri Cahyani Ben Rahman Cecep Maulana Cecep Maulana Dandi Irwansyah dermawan, ari Desyanti Dewi Harwini Efendi Hutagalung, Jhonson Eka Saputra, Anton Endra Saputra Erlin Windia Ambarsari Eska, Juna Eva Solita Pasaribu Evi Ariyanti Purba Farenza, Dinda Novri Fitri Hadanyani Gogor Christmass Setyawan Guntur Maha Putra Handayani, Masitah Haryansyah Sitorus Hetty Rohayani Hommy Dorthy Ellyany Sinaga Hutagalung, Juniar Indah Kurnia Irawati, Novica Irene Hasian Irianto Irianto Iwan Adhicandra Jasmir Jhonson Efendi Hutagalung Jumaryadi, Yuwan Kifti, Wan Mariatul Marpaung, Nasrun Maulana, Cecep Muh Saleh Malawat Muhammad Amin Muhazir, Ahmad Muthia Dewi Nazrul Azizi Neny Mulyani Nofri Yudi Arifin Nofriadi Nofriadi Novita Sari Novrini Hasti Nuriadi Manurung Parini, Parini Parwan Harahap Putri Fahdrina, Jihan Aulia Putri Rahmadani, Putri Rachmad Andri Atmoko Rahayu, Elly ramadhani ramadhani Ramadhani, Andrew Riski Afdhalis Syahreza Rolly Yesputra Roslidar Ruktiari Ismail, Rima Salsabila, Adinda Saludin Saludin SANTOSO SANTOSO Sapriyanti, Sapriyanti Saputra, Endra Sartini Sartini Setiawansyah Setiawansyah Siagian, Yessica Siti Nuraisyah Suci Dewi Maharani Sianipar Sitorus, Lamhot Sri Amelia, Sri Sri Rezki Maulina Azmi Sri Wahyuni Sufi Lubis, Syafaat Suparmadi S Sussolaikah, Kelik Syafira, Shella Syahrial Tengku Riza Zarzani N Tia Zulaika Aulia Pane Tiara Aninditha Umbari Putri, Lia Wibowo, Gentur Wahyu Nyipto William Ramdhan Wily Julitawaty Yesica Siagian Yessica Siagian Yuliana, Siska Yuwaldi Away Zulfi Azhar Zulika Maduri