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All Journal Techno.Com: Jurnal Teknologi Informasi JITK (Jurnal Ilmu Pengetahuan dan Komputer)
Aris Gunaryati
Nasional University
Computer Science & IT Engineering

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SIKARTUN: Sistem Informasi Karang Taruna Berbasis Web Menggunakan Metode FDD dan XP Navita Putri Purwanti; Septi Andryana; Aris Gunaryati
Techno.Com Vol 21, No 1 (2022): Februari 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i1.5638

Abstract

Karang Taruna menjadi topik pilihan pada penelitian ini terkait dengan peran pentingnya sebagai wadah kegiatan dan pengembangan generasi muda. Salah satu elemen penting dari organisasi ini adalah informasi dan komunikasi. Umumnya organisasi ini belum memiliki sarana informasi digital seperti website dan hanya menggunakan sarana informasi dari mulut ke mulut. Hal ini mengakibatkan keterlambatan, duplikasi dan ketidakakuratan dalam penyampaian informasi. Objek penelitian ini adalah Karang Taruna RT 005 RW 009 Kelurahan Pondok Labu, Kecamatan Cilandak, Jakarta Selatan. Penelitian ini menerapkan metode gabungan FDD (Feature Driven Development) dan XP (Extreme Programming) dalam pengembangan website SIKARTUN atau Sistem Informasi Karang Taruna agar mempermudah penyampaian informasi tersebut. Desain aplikasi website menggunakan framework CodeIgniter dan Bootsrap, serta bahasa dan database yang digunakan adalah PHP dan MySQL. Hasil penelitian ini, SIKARTUN memiliki kinerja yang baik berdasarkan oleh pengujian Google Lighthouse dan Usabilitiy.
ENHANCING COFFEE PRODUCTION FACTOR ASSESSMENT USING LINEAR REGRESSION AND AHP FOR RELIABLE WEIGHT CONSISTENCY Aris Gunaryati; Teddy Mantoro; Septi Andryana; Benrahman; Mohammad Iwan Wahyuddin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6788

Abstract

The agricultural sector, particularly coffee production, plays a crucial role in Indonesia’s economy as both a domestic commodity and an export product. However, efforts to optimize coffee production are often constrained by traditional Multi-Criteria Decision-Making (MCDM) methods that rely heavily on subjective judgments, leading to potential inconsistencies—especially in the presence of multicollinearity among variables. This study addresses that challenge by proposing a data-driven and consistent weighting method that integrates Multiple Linear Regression (MLR) with the Analytic Hierarchy Process (AHP). Regression coefficients derived from MLR—based on variables such as the area of immature (-0.2419), mature (0.8357), and damaged (0.5119) coffee plantations—are normalized and incorporated into the AHP pairwise comparison matrix. The resulting Consistency Ratio (CR) values are all below 0.1, indicating high internal consistency and statistical reliability of the derived weights. This integrated approach offers an objective and systematic foundation for MCDM in coffee production analysis, enhances the accuracy of agricultural planning, and supports evidence-based policymaking, while also providing a replicable model for addressing similar challenges in other sectors
Co-Authors Benrahman Mohammad Iwan Wahyuddin Navita Putri Purwanti Septi Andryana Teddy Mantoro