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All Journal Journal of Innovation and Future Technology (IFTECH) Jurnal Media Informatika
Ika Ima Nissa
Universitas Pamulang
Computer Science & IT Education Electrical & Electronics Engineering Engineering Library & Information Science

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AUDIT MANAJEMEN INOVASI TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 2019 DOMAIN APO04 PADA JT DIGITALLY Melinne Maldini Rosady; Ika Ima Nissa; Leo Sandi
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i1.4554

Abstract

In the current digital era, Information Technology has evolved beyond its traditional role as a mere supporting function and has become a strategic core that drives organizational competitiveness. Effective data governance is essential to improving data management practices, which ultimately contributes to enhanced organizational performance. JT Digitally is a company specializing in digital marketing agency services, offering solutions including digital marketing, software product development, and technology services. This study employs the COBIT 2019 Framework as its primary evaluation instrument, selected due to its focus on assessing capability and maturity levels based on designated target domains. The APO04 domain is employed to evaluate the company's Innovation Management System, encompassing the establishment and communication of quality standards across all relevant processes, procedures, and organizational outcomes. This research formulates strategic recommendations derived from the IT governance evaluation conducted at JT Digitally using the COBIT 2019 framework, specifically the APO04 domain. The capability assessment of APO04 subdomains shows an average score of 2.6 (Partially Achieved), indicating that implementation has begun but requires further strengthening. Recommendations include developing innovation governance policies and procedures, client-centered innovation management, and a systematic documentation
Implementasi Metode TOPSIS dalam Pemilihan Kain Tenun Terbaik Ika Ima Nissa; Arip Kristiyanto; Leo Sandi
Jurnal Media Informatika Vol. 6 No. 4 (2025): Jurnal Media Informatika
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i4.6422

Abstract

Kain tenun merupakan tekstil tradisional yang dibuat dengan menyilangkan benang pakan dan lungsin, baik secara manual maupun menggunakan alat tenun. Permasalahan yang terjadi dalam pemilihan kain tenun terbaik saat ini masih dilakukan secara manual, sehingga kurang efisien dan berisiko menimbulkan ketidaktepatan dalam pengambilan keputusan. Untuk mengatasi hal tersebut, penelitian ini merancang sebuah Sistem Pendukung Keputusan (SPK) menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Metode TOPSIS dipilih karena mampu menyelesaikan masalah pemilihan alternatif berdasarkan berbagai kriteria yang relevan. Data dalam penelitian ini diambil dari Kain Tenun Padi Sarumpun dengan lima alternatif motif: Tulip, Tapak Manggih, Rangkiang, Pucuak Rabuang, dan Padi Sarumpun. Penilaian dilakukan berdasarkan empat kriteria: harga, tingkat kesulitan, kualitas bahan, dan proses pembuatan. Hasil analisis menunjukkan bahwa Motif Pucuak Rabuang memiliki nilai tertinggi (0,7304), sehingga dinilai sebagai kain tenun terbaik. Sistem ini mampu membantu dalam meningkatkan akurasi dan efisiensi dalam proses seleksi, serta memberikan informasi yang berguna bagi pengambilan keputusan oleh pihak pengelola tenun. Dengan demikian, SPK berbasis TOPSIS terbukti efektif dalam pemilihan kain tenun terbaik.
PERBANDINGAN TOPSIS DAN MOORA DENGAN PEMBOBOTAN CRITIC UNTUK PEMILIHAN VARIETAS BENIH KEDELAI Widyawati Widyawati; Ika Ima Nissa; Ely Nuryani; Rehulina Tarigan; Waliadi Gunawan
Journal of Innovation And Future Technology Vol. 8 No. 2 (2026): Vol 8 No 2 (Agustus 2026): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i2.4887

Abstract

Selecting soybean seed varieties requires simultaneous consideration of several physical and physiological indicators. This study develops an objective decision model by integrating the Criteria Importance Through Intercriteria Correlation (CRITIC), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA). Secondary data were obtained from the 2019 UPBS Balitkabi seed germination laboratory test published by the Indonesian Ministry of Agriculture. Eight soybean varieties were evaluated using seven criteria: seed vigor, normal germination, abnormal germination, dead seeds, fresh ungerminated seeds, moisture content, and 100-seed weight. CRITIC generated objective weights from data variability and intercriteria conflict; TOPSIS and MOORA were then used independently to rank the alternatives. The highest CRITIC weights were assigned to moisture content (0.1738), 100-seed weight (0.1660), and vigor (0.1531). TOPSIS and MOORA consistently selected Dena 1 as the best variety, with preference values of 0.8574 and 0.0544, respectively. Detap 1 ranked last in both methods. The Spearman rank correlation of 0.9286 indicates very strong agreement between both rankings. The proposed model provides a transparent and reproducible approach for prioritizing soybean seed varieties using publicly available laboratory data without subjective expert weighting.
Co-Authors Arip Kristiyanto Ely Nuryani Leo Sandi Melinne Maldini Rosady Rehulina Tarigan Waliadi Gunawan Widyawati Widyawati