SUPROBO, ARYA (2026) RANCANG BANGUN SISTEM INFORMASI PEMESANAN KONVEKSI BERBASIS WEB DENGAN METODE FUZZY TSUKAMOTO UNTUK PENENTUAN KELAYAKAN PESANAN PADA HANV KONVEKSI. S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
Cover.pdf Download (491kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
Bab1.pdf Restricted to Registered users only Download (47kB) |
|
|
Text (BAB II)
Bab2.pdf Restricted to Registered users only Download (135kB) |
|
|
Text (BAB III)
Bab3.pdf Restricted to Registered users only Download (129kB) |
|
|
Text (BAB IV)
Bab4.pdf Restricted to Registered users only Download (801kB) |
|
|
Text (BAB V)
Bab5.pdf Restricted to Registered users only Download (32kB) |
|
|
Text (DAFTAR PUSTAKA)
Dafpus.pdf Restricted to Registered users only Download (84kB) |
|
|
Text (LAMPIRAN)
Lampiran.pdf Restricted to Registered users only Download (659kB) |
Abstract
Hanv Konveksi has been managing its ordering process conventionally, where customers either visit the workshop directly or place orders through instant messaging applications, resulting in manual order recording and requiring the admin to check the completeness of each order's data one by one before processing it. This condition potentially causes delayed responses, recording errors, and the risk of approving orders that are actually not yet feasible for production. This study aims to design and build a Web-Based Convection Ordering Information System for Hanv Konveksi using Next.js, TypeScript, Tailwind CSS, Prisma, and Supabase, which allows customers to place orders independently through a logged-in account, while implementing the Tsukamoto Fuzzy method on the admin side to automatically determine the feasibility level of an order based on the completeness of the order data (formCompleteness) and the completeness of additional data (personalCompleteness) variables, producing a status of "Feasible to Process", "Needs Revision", or "Not Feasible to Process". The system was developed using the Waterfall model, with the Tsukamoto Fuzzy inference engine applying nine rules (rule base) resulting from combinations of three fuzzy sets (Low, Medium, High) on both input variables, along with a defuzzification process using the weighted average method. Testing was carried out in three stages: testing the accuracy of the Tsukamoto Fuzzy method by comparing manual calculations against six order data scenarios with the system's automatic calculation results, functional testing using Black Box Testing, and usability testing using the System Usability Scale (SUS) involving prospective customers as respondents. The test results show that all feasibility scores and statuses generated by the system are consistent with the manual calculation results across the six tested scenarios, all Black Box Testing scenarios on both the customer and admin sides ran according to the expected results, and the average System Usability Scale (SUS) score from prospective customer respondents was 80.0, classified as AccepTabel with an Excellent usability rating. Thus, the developed system has proven capable of helping the Hanv Konveksi admin determine order feasibility automatically, quickly, and objectively, while also being easy for users to use. Kata kunci: Order Information System, Convection, Fuzzy Tsukamoto, Black Box Testing, System Usability Scale. Hanv Konveksi selama ini masih mengelola proses pemesanan secara konvensional, yaitu pelanggan datang langsung atau memesan melalui aplikasi pesan instan, sehingga pencatatan pesanan dilakukan secara manual dan admin harus memeriksa kelengkapan data pesanan satu per satu sebelum diproses. Kondisi ini berpotensi menimbulkan keterlambatan respons, kesalahan pencatatan, serta risiko meloloskan pesanan yang sebenarnya belum layak diproduksi. Penelitian ini bertujuan merancang dan membangun Sistem Informasi Pemesanan Konveksi Berbasis Web pada Hanv Konveksi menggunakan Next.js, TypeScript, Tailwind CSS, Prisma, dan Supabase, yang memungkinkan customer melakukan pemesanan secara mandiri melalui akun yang telah login, sekaligus menerapkan metode Fuzzy Tsukamoto pada sisi admin untuk menentukan tingkat kelayakan pesanan secara otomatis berdasarkan variabel kelengkapan data pemesanan (formCompleteness) dan kelengkapan data tambahan (personalCompleteness), sehingga menghasilkan status "Layak Diproses", "Perlu Revisi", atau "Tidak Layak Diproses". Metode pengembangan sistem yang digunakan adalah model Waterfall, dengan mesin inferensi Fuzzy Tsukamoto menerapkan sembilan aturan (rule base) hasil kombinasi tiga himpunan fuzzy (Rendah, Sedang, Tinggi) pada kedua variabel input, serta proses defuzzifikasi menggunakan rata-rata terbobot. Pengujian dilakukan melalui tiga tahap, yaitu pengujian ketepatan metode Fuzzy Tsukamoto dengan membandingkan hasil perhitungan manual terhadap enam skenario data pesanan dengan hasil perhitungan otomatis oleh sistem, pengujian fungsional menggunakan Black Box Testing, serta pengujian kebergunaan menggunakan System Usability Scale (SUS) yang melibatkan calon pelanggan sebagai responden. Hasil pengujian menunjukkan bahwa seluruh skor dan status kelayakan yang dihasilkan sistem konsisten dengan hasil perhitungan manual pada keenam skenario yang diujikan, seluruh skenario Black Box Testing pada sisi customer dan admin berjalan sesuai dengan hasil yang diharapkan, serta skor rata-rata System Usability Scale (SUS) dari responden calon pelanggan sebesar 80,0 yang tergolong pada kategori AccepTabel dengan predikat kebergunaan Excellent. Dengan demikian, sistem yang dibangun terbukti mampu membantu admin Hanv Konveksi dalam menentukan kelayakan pesanan secara otomatis, cepat, dan objektif, serta mudah digunakan oleh pengguna. Kata kunci: Sistem Informasi Pemesanan, Konveksi, Fuzzy Tsukamoto, Black Box Testing, System Usability Scale
Actions (login required)
 |
View Item |
