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All Journal Enrichment : Journal of Management GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Jurnal Minfo Polgan (JMP) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Jurnal Pengabdian Pancasila (JPP) International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Journal of Business Integration Competitive Jurnal Mahkota Bisnis (Makbis)
Nidya Banuari
Universitas Mahkota Tricom Unggul
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Penerapan Augmented Reality Dalam Pengenalan Buah-Buahan Sebagai Media Pembelajaran Pada Sekolah Dasar Kartini Medan Junerdi Nababan; Sutrisno Arianto Pasaribu; Frainskoy Rio Naibaho; Eka Martyna Theodora; Nidya Banuari
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13732

Abstract

Augmented Reality (AR), adalah teknologi dengan konsep menggabungkan dimensi dunia nyata dengan dimensi dunia maya yang di tampilkan secara realtime. Smartphone memungkinkan pengembangan aplikasi Augmented Reality dengan murah serta dapat diakses oleh banyak pengguna. Augmented Reality dapat dimanfaatkan dalam berbagai bidang salah satunya adalah sebagai sarana pendidikan untuk anak–anak.Augmented Reality dapat digunakan untuk menciptakan sebuah lingkungan pembelajaran yang lebih interaktif dimana anak–anak dapat berinteraksi langsung dengan objek dunia maya sehingga anak–anak pun dapat bermain sambil belajar. Augmented Reality yang ditujukan kepada para guru dan orang tua sebagai alat pembelajaran untuk anak–anak usia dini. Aplikasi ini dibuat dengan Unity sebagai media pembuatan desainnya dan Vuforia SDK sebagai penyimpanan database markernya yang nanti nya saling berhubungandan berbasis Android. Aplikasi pengenalan jenis buah-buahan berbasis Augmented Reality dapat membaca marker pada kertas cetakan maupun kartu–kartu pengenalan jenis buah-buahan yang akan menampilkan model 3 dimensi di layar perangkat Android.
ANALISIS KLASIFIKASI HARGA PENJUALAN MOTOR MENGGUNAKAN METODE DECISION TREE BERBASIS ENTROPY DENGAN PENDEKATAN C4.5 DAN GAIN RATIO Neza Namira; Nidya Banuari
Jurnal Mahkota Bisnis (Makbis) Vol 5 No 1 (2026): Jurnal Mahkota Bisnis (Makbis)
Publisher : MTU PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59929/mm.v5i1.151

Abstract

The rapid growth of the automotive industry has intensified competition in motorcycle sales. Determining the appropriate selling price is one of the key factors in improving a company's competitiveness and profitability. Various factors influence motorcycle selling prices, including brand, model, year of manufacture, engine capacity, vehicle condition, and mileage, resulting in complex data that are difficult to analyze manually. Therefore, a data mining method is needed to process historical motorcycle sales data into valuable information that supports decision-making. This study aims to analyze and classify motorcycle selling prices using the Decision Tree C4.5 algorithm based on entropy and gain ratio. The C4.5 algorithm was selected because it can generate decision rules that are easy to interpret while providing high classification accuracy for both categorical and numerical data. The research process includes data collection, data preprocessing, entropy, gain, and gain ratio calculations, decision tree construction, and classification model evaluation. The results indicate that the C4.5 algorithm is capable of identifying the most influential attributes affecting motorcycle price classification. The resulting decision tree can be used as a basis for effectively predicting motorcycle price categories. Therefore, the Decision Tree C4.5 method can assist motorcycle dealers and automotive businesses in determining appropriate sales strategies based on the characteristics of the vehicles they offer.
ANALISIS KINERJA SUPPLY CHAIN MANAGEMENT BERDASARKAN STUDI LITERATUR DENGAN PENDEKATAN SCOR Shine Highest; Hillary Tanessa; Satrio Ariel Pratama; Nidya Banuari
Jurnal Mahkota Bisnis (Makbis) Vol 5 No 1 (2026): Jurnal Mahkota Bisnis (Makbis)
Publisher : MTU PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59929/mm.v5i1.160

Abstract

Supply chain management plays an important role in improving operational performance and company competitiveness. This study aims to analyze supply chain performance based on previous research. The method used is a literature review of several national journals discussing supply chain performance measurement using the Supply Chain Operations Reference (SCOR) approach. The results show that most companies have moderate supply chain performance, with main problems in planning, sourcing, and distribution. The SCOR model provides a structured and comprehensive overview of supply chain performance. Keywords: supply chain performance, supply chain management, SCOR
Co-Authors Ahmad Rivai Amin Hou Ananda, Shela Arsyaf Tampubolon Debora Tambunan Deby Siska Oktavia Pasaribu Dewi Rafiah Pakpahan Eka Martyna Theodora Emma Novirsari Esther Praja Anggriany Panggabean Frainskoy Rio Naibaho Guliva Salsabila Halawa, Dedi Dermawan Hamjah Arahman Hendra Jonathan Sibarani Herlin Munthe Hillary Tanessa Jen Peng Huang Jonathan Setiadi Pasaribu Junerdi Nababan Khairatun Nazah Khairun Nisa M Fakhrul Hirzi Manda Dwipayani Bhastary Marpaung, Preddy Maya Syahlina Miftahul Jannah Nasib Neza Namira Pardede, Akim Manaor Hara Pasaribu, Sutrisno Arianto Preddy Marpaung Rafael R.F. Sijabat Rhiana Handini Roni Juliansyah Royanti Lusiana Lumbangaol Satrio Ariel Pratama Shine Highest Sitorus, Dompak Stevan Rejekiman Gea Steven Gea Surtan Hasibuan Sutrisno Arianto Pasaribu Tandeas, William Tony Honkley Yehezkiel Wibisono Sagala