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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.
PERANAN E-COMMERCE DALAM PENGEMBANGAN BISNIS PADA PKK Hutahaean, Jeperson; Mulyani, Neni; Azhar, Zulfi; Salsabila, Adinda; Ananda, Dewi
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 1 (2024): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i1.19736

Abstract

Abstrak: Untuk mempercepat dan meningkatkan penjualan cepat maka dengan melihat perkembangan teknologi informasi yang sangat pesat tersebut kita dapat memanfaatkan suatu layanan secara online yang berupa e-commerce. PKK Desa Mekar Sari Kabupaten Asahan, memiliki banyak aktifitas yang aktif dilakukan pada beberapa daerah di lingkungan Desa Mekar Sari, diataranya menjalankan proses bisnis secara konvensional. Dengan pengetahuan teknologi seperti peranan E-commerce dalam pengenbangan bisnis diharapkan dapat diaplikasikan dan digunakan dalam mempermudah sebagai media promosi dan transakdi bisnis dalam pengembangan penjualan dan pembelian produk. Tujuan kegiatan pengabdian kepada masyarakat adalah meningkatkan kemampuan tim PKK Desa Mekar Sari dalam memahami dan mengimplementasikan proses bisnis secara e-commerce dengan pengelolaan toko online. Metode pelatihan yang dilaksanakan dengan cara diskusi dan praktek untuk menyampaikan pengetahuan pengenalan komputer dan latihan penggunaan aplikasi e-commerce kepada 1 mitra, tim PKK Desa Mekar Sari Kabupaten Asahan. Kegiatan ini menggunakan pengetahuan secara teori dan praktek di ruangan. Hasil penilaian akhir kegiatan, para peserta dapat memahami materi yang disampaikan berdasarkan dari hasil perolehan angka penilaian dari hasil uji posttest. Peserta pelatihan berhasil menyelesaikan pencapaian pelatihan ini dengan baik dari hasil nilai pre-test rata-rata 90,4%.. Penyampaian materi terdiri dari beberapa sesi, yaitu: penjelasan, praktek , dan diskusi.Abstract: To speed up and increase sales quickly, by looking at the very rapid development of information technology, we can take advantage of an online service in the form of e-commerce. PKK Desa Mekar Sari Village, Asahan Regency, has many active activities carried out in several areas within Desa Mekar Sari Village, including carrying out conventional business processes. With technological knowledge such as the role of E-commerce in business development, it is hoped that it can be applied and used to facilitate promotional media and business transactions in developing product sales and purchases. The aim of community service activities is to improve the ability of the Desa Mekar Sari, Village PKK team in understanding and implementing e-commerce business processes by managing online stores. The training method is carried out by means of discussion and practice to convey computer knowledge and practice using e-commerce applications to 1 partner, the PKK team in Desa Mekar Sari, Asahan Regency. This activity uses theoretical and practical knowledge in the room. As a result of the final assessment of the activity, the participants were able to understand the material presented based on the results of the assessment scores obtained from the posttest test results. The activity material provided to participants can be used and utilized in business development through E-Commerce. The training participants successfully completed this training achievement with an average pretest score of 90.4%. The delivery of the material consists of several sessions, namely: explanation, practice, and discussion.
Pelatihan Literasi Digital untuk Guru dan Siswa dalam Meningkatkan Kualitas Pembelajaran Jarak Jauh Windarto, Agus Perdana; Hutahaean, Jeperson; Sussolaikah, Kelik; Setiawansyah, Setiawansyah
Jurnal Pengabdian Masyarakat Inovasi Vol. 5 No. 1 (2026): February 2026
Publisher : Sekolah Tinggi Ilmu Manajemen Sukma Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35126/jpmi.v5i1.998

Abstract

This community service activity aims to improve the digital literacy of teachers and students to support the quality of distance learning. The implementation method was carried out through practice-based training involving 20 participants from among teachers and students. Evaluation results showed that before the activity, the digital literacy level of participants was in the basic to intermediate category with an average score of 1-2, while after the activity there was a significant increase to an average score of 4-5. Participants' satisfaction responses also showed that 80% expressed satisfaction or were very satisfied, confirming the effectiveness of the training. This activity successfully addressed the needs of partners regarding the constraints of low digital competency in online learning, despite the limitations of the limited number of participants and the short duration of implementation. Therefore, this activity is recommended to be expanded and integrated into the ongoing professional development program for teachers and students.
Comparison Of Machine Learning Algorithms For Rice Production Prediction Karim, Abdul; Away, Yuwaldi; Syahrial; Roslidar; Hutahaean, Jeperson; William Ramdhan; Siagian, Yessica
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7453

Abstract

Rice production forecasting plays an important role in supporting future agricultural planning, food supply management, and food security. Accurate yield prediction allows governments and farmers to estimate production outcomes and develop appropriate strategies to maintain stable food availability.This study addresses this gap by comparing four regression-based machine learning models: Random Forest, XGBoost, Support Vector Regression (SVR), and Artificial Neural Network (ANN). All models were trained and tested using the same dataset to ensure a fair evaluation. Model performance was measured using the coefficient of determination (R²). The results show that Random Forest achieved the best performance (R² = 0.963), followed by XGBoost (R² = 0.959). In contrast, SVR (R² = -0.064) and ANN (R² = -2.417) performed poorly, indicating limited predictive capability. Overall, these findings suggest that ensemble-based methods, particularly Random Forest and XGBoost, are more reliable and effective for rice production forecasting compared to SVR and ANN.
Co-Authors Aandanu Aandanu 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 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 Hasian, Irene Hetty Rohayani Hommy Dorthy Ellyany Sinaga Hutagalung, Juniar Indah Kurnia Irawati, Novica Irianto Irianto 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 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 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 Yuwaldi Away Zulfi Azhar Zulika Maduri