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All Journal bit-Tech Jurnal PADMA: Pengabdian Dharma Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi
Angga Suryadi
Universitas Pamulang
Religion Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Implementasi Sistem Pendukung Keputusan untuk Pemilihan Pelanggan Potensial Menggunakan Metode Simple Additive Weighting (SAW) dan Analisis Sensitivitas Bobot di PT RONIta Digital Printing Endah Pratiwi; Angga Suryadi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11650

Abstract

Persaingan bisnis yang semakin ketat di industri percetakan digital menuntut perusahaan untuk lebih cerdik dalam mengidentifikasi serta mempertahankan pelanggan yang mampu memberikan kontribusi secara berkelanjutan. Selama ini, PT RONIta Digital Printing menghadapi kendala operasional akibat ketergantungan pada proses penilaian subjektif, yang berisiko mengurangi tingkat ketepatan dan efisiensi dalam pengambilan keputusan strategis. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) yang dapat memfasilitasi penentuan pelanggan potensial secara objektif, terstruktur, dan terukur. Metode Simple Additive Weighting (SAW) diterapkan dalam sistem ini dengan mempertimbangkan beberapa kriteria utama, meliputi total transaksi, frekuensi pembelian, volume pesanan (QTY), media, dan jenis orderan yang sesuai dengan data perusahaan. Berdasarkan hasil pengujian sistem, alternatif atas nama Hilmawan berhasil menduduki peringkat pertama dengan nilai preferensi tertinggi sebesar 0.975. Selain itu, analisis sensitivitas terhadap bobot kriteria juga dilakukan guna mengevaluasi tingkat ketahanan peringkat ketika terjadi perubahan parameter, sehingga dampak dominasi dari setiap kriteria dapat dipahami secara mendalam. Sistem yang berhasil dikembangkan ini terbukti mampu menghasilkan rekomendasi pelanggan potensial yang akurat, transparan, serta memperkuat efektivitas pelaksanaan strategi pemasaran perusahaan. Hasil evaluasi melalui penyebaran kuesioner pengguna menghasilkan persentase kepuasan sebesar 96%, yang menunjukkan bahwa sistem pendukung keputusan ini telah bekerja dengan sangat baik, efektif, dan sudah sesuai dengan kebutuhan operasional perusahaan ini.
Integrating AHP and SAW for Verified Supplier Selection Decision Support in Small Retail Nasrul Hidayah; Angga Suryadi; Intan Kumalasari
bit-Tech Vol. 9 No. 1 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v9i1.4271

Abstract

Supplier selection is a critical procurement decision in small retail because supplier performance directly affects stock availability, delivery reliability, cost efficiency, and service continuity. This study develops and evaluates a web-based decision support system integrating the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) for supplier selection in a single small-retail case in Depok, Indonesia. AHP was used to derive weights for five criteria price, distance, product quality, service, and delivery performance while SAW normalized and aggregated the performance of ten supplier alternatives into final preference scores. The system was implemented using PHP and MySQL and assessed through independent computational cross-checking, black-box testing, white-box basis-path testing, and user acceptance testing. Delivery performance received the highest weight (0.5004), followed by distance (0.2527), price (0.1084), service (0.0796), and product quality (0.0589), with the consistency ratio remaining below 0.10. CV. Prima Sentosa ranked first with a preference value of 0.9118, narrowly ahead of PT. Rukun Mitra Sejati Cab. Depok at 0.9022. All 31 black-box test cases passed, the selected white-box modules achieved complete basis-path coverage, and system calculations matched independent calculations to four decimal places, demonstrating computational fidelity. User acceptance testing produced a mean rating of 97.00%, although lower scores for usability and interface-related aspects indicate that further refinement is needed. The study contributes an end-to-end, traceable AHP–SAW implementation that links preference elicitation, ranking, software verification, and formative user evaluation. The findings support the feasibility of the approach for the studied retail context, while broader generalizability and ranking robustness require further validation.
Co-Authors Adam Adam Muiz Alpan Alpan Hidayat Ananda Vadhiel Malik Bintang Mujahidin Haqqoni Endah Pratiwi Erdi Sutriyatna Frely Cristiadzi Fawaz Gustiga Erwanike Agashi Ilhan Fauzan Intan Kumalasari Irgi Winarno Irgi Maulana Muhamad Sulaiman Muhamad Arief Yulianto Muhammad Naufal Musthofa Muzammil Sakdi Nasrul Hidayah Pilda Ulan Sari Rahmawati Rahmawati Rahmawati Rahmawati Rahmawati Ridhan Al Aufar Romi Andrianto Sahidin Supiyan, Dede Yudi Prayoga