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All Journal Jurnal SOLMA Journal of Engineering, Technology, and Applied Science (JETAS) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Puan Indonesia Jurnal Pengabdian Ibnu Sina JT-IBSI (Jurnal Teknik Ibnu Sina) JR : Jurnal Responsive Teknik Informatika Jurnal Responsive Teknik Informatika JURNAL LIGA ILMU SERANTAU
Putri, Weni Lestari
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Sistem Pengambilan Keputusan Rekomendasi Pemberian Kredit dengan Metode Simple Additive Weighting Putri, Weni Lestari
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.272

Abstract

The decision-making system produces recommendations for parties entitled to obtain loans in accordance with predetermined provisions. There are 5 criteria that are used as a reference in providing credit loans in terms of Characteristics, Capacity, Condition, Capital and Collateral. Each criterion has a different value so a Simple Additive Weighting (SAW) method is needed to produce a decision. The way the Simple Additive Weighting (SAW) method works is by entering each weight value in each criterion. The advantage of the SAW method is that it has the ability to carry out assessments more precisely because it is based on the criteria values and preference weights that have been determined and can select the best alternative from a number of existing alternatives, apart from that because there is an improvement process after determining the weight value for each attribute. The final results of the research recommended obtaining a loan in the name of Kamedia Kemala with a value of 0.8248.
ANALISIS SIMULASI MONTE CARLO DALAM MEMPREDIKSI PERMINTAAN JASA SERVICE KOMPUTER PADA HANIFNAFI COMPUTER BATAM Putri, Weni Lestari; Jarti, Nanda
Jurnal Liga Ilmu Serantau Vol. 3 No. 1 (2026): Jurnal Liga Ilmu Serantau
Publisher : LPPM Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jlis.v3i1.1390

Abstract

Penelitian ini bertujuan untuk memprediksi permintaan produk dan mengoptimalkan persediaan pada Hanifnafi Computer Batam menggunakan Simulasi Monte Carlo melalui perangkat lunak Jamovi. Ketidakpastian pasar retail komputer di Batam menuntut metode peramalan yang lebih akurat daripada sekadar perhitungan rata-rata. Dengan menggunakan data historis penjualan dua tahun terakhir, simulasi dijalankan sebanyak 10.000 iterasi untuk memetakan probabilitas permintaan di masa depan. Hasil analisis menunjukkan bahwa permintaan paling mungkin berada pada rentang 35–45 unit, dengan risiko stok tidak laku sebesar 14% dan peluang lonjakan permintaan sebesar 11%. Penelitian ini menyimpulkan bahwa penggunaan simulasi Monte Carlo membantu pemilik usaha dalam menetapkan safety stock yang tepat guna meminimalkan kerugian akibat penumpukan barang atau kehabisan stok
Pembelajaran Berbasis Proyek Menggunakan Trainer Simulator AC Energi Hijau untuk Meningkatkan Kompetensi Guru SMK Yunesman, Yunesman; Yasra, Refdilzon; Putri, Weni Lestari
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.21414

Abstract

Background: This study was motivated by the low competence of vocational high school teachers in understanding and applying green energy concepts and learning technologies relevant to industrial needs. This condition highlights the need for training to improve teachers’ ability to meet workforce demands and align with the Indonesian Government’s Nawacita program to strengthen human resource quality. The purpose of this study was to determine the effectiveness of technology-based green energy training in improving teachers' competence at SMK Aljabar Batam. Method: The research employed a quantitative, one-group pretest–posttest design. Data were collected through pre- and post-tests, participant satisfaction questionnaires, and supporting interviews. Results: The results showed an average improvement in teacher competence of 30.2%, covering technical skills, understanding of green energy, pedagogical ability, and technology integration in learning. The participants’ satisfaction level was very good, with an average score of 4.66. Conclusion: The technology-based green energy training effectively improved vocational teachers’ competencies and can serve as a sustainable professional development model to enhance educational quality and national competitiveness.
Co-Authors Arifin, Nofri Yudi Hendro Wahyudiono, Pratiwi Indah Kusuma Dewi, Indah Kusuma Jamal, Siti Aisyah Nanda Jarti PUTRI WULANDARI Refdilzon Yasra, Refdilzon Rozali, Rozali Suri, Ghea Paulina Yunesman, Yunesman