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All Journal Jurnal Bumigora Information Technology (BITe) Jurnal Informatika, Komputer dan Bisnis (JIKOBIS)
mubarok, wahib
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Implementation of the Multi Attribute Utility Theory (MAUT) Method for Selecting the Best Affiliate Marketing Mubarok, Wahib; Efendi, Tino Feri; Rokhmah, Siti
Jurnal Bumigora Information Technology (BITe) Vol 6 No 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i1.4088

Abstract

Background: Digital marketing has become crucial for companies to remain relevant and grow. One common marketing strategy used is through collaboration with affiliate marketing. However, many companies still need help selecting the best affiliate marketing, often relying on subjective approaches. Objective: This research aims to develop a Decision Support System (DSS) using the MAUT method to choose the best affiliate marketing in the digital marketing industry. Method: This research method involves applying the MAUT method to identify normalization value variations among affiliate marketing options, resulting in a ranking of affiliate marketers. Result: The results of this research show that Sugiharto, Rifan Jauhari, and Nina Dwi Lestari rank the highest, with respective preference values of 0.8750 and 0.8625. Conclusion: The developed DSS successfully manages affiliate marketing data, providing valuable information for decision-making processes. This study contributes significantly to data management and marketing and has potential applications in various business contexts.
Rancang Bangun Sistem Administrasi Persuratan: (Studi Kasus: ITB AAS Indonesia) Muslihah, Isnawati; Budi Iswara, Wibisana; mubarok, wahib
Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) Vol. 1 No. 2 (2021): Vol. 1 No. 2 Desember 2021
Publisher : LPPM ITB AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.353 KB)

Abstract

Manajemen surat dalam suatu organisasi atau perusahaan sangat berperan penting dalam aspek-aspek prosedur administratif. Sistem tata kelola persuratan juga menjadi salah satu faktor yang berpengaruh terhadap pengelolaan surat pada suatu instansi ataupun institusi. Hal itu terkait dengan pengarsipan dokumen resmi yang telah masuk ataupun yang telah dikeluarkan Lembaga tersebut. Salah satu kondisi yang telah ada dan sampai saat ini masih banyak terjadi adalah pembuatan surat resmi secara manual, termasuk di kampus Institut Teknologi Bisnis AAS Indonesia. Maka dari itu, sistem administrasi persuratan yang telah dibuat sangat bermanfaat dalam proses pengurusan surat, baik surat masuk maupun surat keluar dapat diproses lebih baik, lebih cepat, dan lebih mudah. Adanya sistem ini dapat mengurangi waktu yang dihabiskan dalam pengarsipan surat, meminimalkan kemungkinan kesalahan penulisan, serta memudahkan untuk mengontrol penanganan surat. Pembuatan sistem ini dengan metode waterfall, kemudian juga memanfaatkan tool Visual Basic Application menggunakan dataset contoh surat dan data mahasiswa yang diperoleh dari petugas administrasi kampus ITB AAS Indonesia. Hasil dari penelitian ini adalah sebuah sistem administrasi persuratan pada kampus ITB AAS Indonesia yang mudah digunakan, lengkap, dan terstuktur, dengan hasil pengujian blackbox mencapai 90,9 % dan pengujian SUS (System Usability Testing) mencapai nilai 79,8.
Implementation of the Multi Attribute Utility Theory (MAUT) Method for Selecting the Best Affiliate Marketing Mubarok, Wahib; Efendi, Tino Feri; Rokhmah, Siti
Jurnal Bumigora Information Technology (BITe) Vol. 6 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i1.4088

Abstract

Background: Digital marketing has become crucial for companies to remain relevant and grow. One common marketing strategy used is through collaboration with affiliate marketing. However, many companies still need help selecting the best affiliate marketing, often relying on subjective approaches. Objective: This research aims to develop a Decision Support System (DSS) using the MAUT method to choose the best affiliate marketing in the digital marketing industry. Method: This research method involves applying the MAUT method to identify normalization value variations among affiliate marketing options, resulting in a ranking of affiliate marketers. Result: The results of this research show that Sugiharto, Rifan Jauhari, and Nina Dwi Lestari rank the highest, with respective preference values of 0.8750 and 0.8625. Conclusion: The developed DSS successfully manages affiliate marketing data, providing valuable information for decision-making processes. This study contributes significantly to data management and marketing and has potential applications in various business contexts.
Co-Authors Budi Iswara, Wibisana Efendi, Tino Feri Muslihah, Isnawati Siti Rokhmah