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All Journal Journal of Applied Data Sciences Jurnal Informatika Teknologi dan Sains (Jinteks)
Wati, Devi Fajar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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KOMPARASI METODE EDAS DAN METODE COPRAS DALAM PENENTUAN SUPPLIER SPAREPART Dedih; Setiyani, Lila; Arienabila, Firda; Alfiansyah, Deden Moh; Wati, Devi Fajar; J, Muhammmad Jembar; Juwita, Rahma
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 1 (2025): EDISI 23
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i1.5328

Abstract

Memilih pemasok yang tepat dalam manajemen rantai pasokan sangat penting untuk memastikan kualitas dan ketersediaan sparepart. Kesalahan dalam memilih pemasok dapat berakibat fatal dalam kelangsungan proses bisnis sehingga dibutuhkan suatu metode yang efektik untuk melakukan evaluasi dan memutuskan supplier yang terbaik. Adapun metode penelitian yang dilakukan yakni mulai dari pengumpulan data kriteria, data alternatif dan data ranting kecocokan setiap kriteria selanjutnya dilaksanakan perhitungan metode Edas (Evaluation based on Distance from Average Solution) dan metode  Copras (Complex Proportional Assessment), hasil perhitungan kedua metode tersebut dibandingkan dengan analisis kesesuaian sehingga mendapatkan hasil akhir.  Penelitian ini bertujuan untuk membandingkan kedua metode pengambilan keputusan multi kriteria yang dapat diimplementasikan dalam mengevaluasi dan memilih supplier berdasarkan berbagai kriteria yaitu metode Edas dan metode  Copras.  Dalam penelitian ini mempunyai sasaran untuk menetapkan metode yang sangat optimal dalam mendapatkan supplier sparepart. Ada lima supplier yang dipilih berdasarkan kriteria berikut  yakni histori performa  dan kontrol pengemasan sebagai tipe kriteria benefit, sedangkan manajemen organisasi perusahaan, sistem komunikasi, dan harga merupakan tipe kriteria cost. Hasil perbandingan kedua metode dengan rumus analisis penyesuaian menunjukkan nilai metode Edas 99,996 dan metode Copras 99,025, sehingga dapat ditarik kesimpulan bahwa metode Edas menunjukan lebih optimal daripada metode Copras.
Understanding User Needs for a Mobile Health Application: Insights into Fasting, Training, and Muscle Development Setiyani, Lila; Eldawati, Eldawati; Azhar, Wafiqah Yasmin; Wati, Devi Fajar; Dedih, Dedih; Hikmayanti, Hanny
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1074

Abstract

Mobile Health (mHealth) applications are increasingly used to support intermittent fasting, fitness training, and nutrition tracking. However, existing solutions remain fragmented, focusing on isolated domains without addressing users’ holistic health needs. This study aimed to explore user needs and preferences for an integrated mobile health application that combines fasting, training, and muscle development, emphasizing feature importance, usability expectations, and privacy concerns. A mixed-methods approach was used: a survey (n = 50) captured demographic profiles, feature prioritization, and usability expectations, while interviews (n = 10) explored user experiences and challenges. Quantitative data were analyzed using descriptive statistics, while qualitative interview responses were grouped into key themes through manual coding and interpretation. Results from both approaches were triangulated to strengthen the validity and reliability of findings. Users prioritized workout progression tracking (M = 4.94, SD = 0.18, 95% CI [4.89, 4.99]) and protein/macro monitoring (M = 4.20, SD = 0.42) over fasting timers (M = 2.92/5) or motivational features (M = 2.88). Usability expectations were high (Ease of Use = 6.06/7; System Capability Fit = 6.36/7), and privacy was a non-negotiable factor (M = 5.00/5). Themes revealed frustrations with incomplete exercise libraries, fragmented features, and lack of personalization. The study highlights the need for integrated, user-centered mHealth applications that unify fasting, training, and nutrition while embedding privacy-by-design principles. Future work will advance this study through prototype development and usability testing using SUS and UMUX-Lite metrics.
Co-Authors Alfiansyah, Deden Moh Arienabila, Firda Azhar, Wafiqah Yasmin Dedih Dedih, Dedih Eldawati, Eldawati Hanny Hikmayanti Handayani J, Muhammmad Jembar Juwita, Rahma Lila Setiyani