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All Journal Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Matheos Oktavio Selan
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Menjelajahi Teknik-Teknik Supervised Learning untuk Pemodelan Prediktif Menggunakan Python Julieta Cahya Mestika; Matheos Oktavio Selan; Muhamad Iqbal Qadafi
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 1 No 1 (2023): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) INPRESS
Publisher : Shofanah Media Berkah

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Abstract

Predictive modeling has become increasingly important in various fields such as data science, artificial intelligence, finance, healthcare, and many others. In this context, supervised learning has emerged as one of the most commonly used approaches to building predictive models. By employing supervised learning algorithms, models can be used to classify data into appropriate categories or make numerical predictions. In the realm of predictive modeling, the Python programming language has become a primary choice for practitioners and researchers. This research aims to provide a comprehensive understanding of supervised learning techniques that can be applied using Python. Qualitative research methods with a case study approach are employed to gain in-depth insights into the specific context and challenges. The researcher conducts experiments using real-world datasets relevant to predictive modeling to test the effectiveness of implemented supervised learning techniques. The findings of this research are expected to offer practical guidance to researchers and practitioners interested in leveraging supervised learning with Python to build efficient and reliable predictive models.
Penerapan Metode SMART Dalam Menentukan Aplikasi Pesan-Antar Terbaik Arief Febrian; Matheos Oktavio Selan; Rendyka Purnama; Rifqi Surya Bernada; Perani Rosyani
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 1 No. 3 (2023): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Jurnal ini membahas penerapan Metode SMART dalam menentukan aplikasi pesan-antar terbaik, dengan fokus pada JNE, J&T, TIKI, dan SiCepat. Kriteria evaluasi yang digunakan melibatkan Biaya Pengiriman, Kecepatan Pengiriman, Keamanan Pengiriman, Pelacakan Pengiriman (Tracking), dan Ketersediaan Layanan Pick-Up. Bobot nilai untuk setiap kriteria ditetapkan dalam rentang 1-5, dengan nilai 1 untuk Sangat Buruk, 2 untuk Buruk, 3 untuk Cukup, 4 untuk Baik, dan 5 untuk Sangat Baik. Sistem penunjang keputusan digunakan untuk memproses data dan memberikan rekomendasi berdasarkan nilai yang diperoleh. Metode SMART (Simple Multi-Attribute Rating Technique) diterapkan untuk menyederhanakan proses pengambilan keputusan. Hasil penelitian ini memberikan rekomendasi mengenai aplikasi pesan-antar terbaik berdasarkan kriteria yang telah ditetapkan.
Co-Authors Arief Febrian Julieta Cahya Mestika Muhamad Iqbal Qadafi Perani Rosyani Rendyka Purnama Rifqi Surya Bernada