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All Journal JURNAL MAHAJANA INFORMASI FRAMEWORK Jurnal Ilmu Komputer dan Informatika
Nur Miswar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Library & Information Science Other

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RANCANG BANGUN SISTEM BOOKING SERVICE DEALER TOYOTA BERBASIS ANDROID (STUDI KASUS: DEALER TOYOTA KOTA SORONG) Pangri, Muzakkir; Fitryani Tella; Fajar Rahardika Bahari Putra; Muhammad Jundullah; Nur Miswar; Mariana Anggraini Suwardi Ningsih
Jurnal Mahajana Informasi Vol 10 No 1 (2025): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jurnalmi.v10i1.6263

Abstract

Permasalahan dalam pelayanan booking service di dealer Toyota Kota Sorong masih dilakukan secara manual, seperti melalui telepon dan pencatatan antrian secara konvensional, yang menyebabkan ketidakefisienan serta ketidaktepatan waktu pelayanan. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi booking service berbasis Android yang mampu meningkatkan efisiensi dan efektivitas pelayanan kepada konsumen. Metode yang digunakan adalah metode deskriptif dengan pendekatan pengembangan sistem menggunakan metode Agile yang mencakup tahap perancangan, desain, pengkodean, pengujian, dan pemeliharaan sistem. Pengumpulan data dilakukan melalui wawancara, observasi, dan penyebaran kuesioner kepada pihak dealer. Hasil dari penelitian ini adalah aplikasi mobile Android yang menyediakan fitur utama seperti booking service, nomor antrian otomatis, informasi transaksi, notifikasi layanan, serta histori dan testimoni service. Pengujian sistem dilakukan dengan metode black box dan usability testing. Hasil pengujian menunjukkan sistem berjalan sesuai fungsinya dan mendapatkan tingkat kepuasan pengguna sebesar 85,06%, yang menunjukkan aplikasi telah sesuai dengan kebutuhan pengguna. Kesimpulan dari penelitian ini adalah bahwa sistem yang dirancang dapat mempercepat proses pelayanan booking service secara online dan meningkatkan kualitas layanan di dealer Toyota Kota Sorong.
Penerapan Sistem Pendukung Keputusan untuk Seleksi Kelayakan Rekomendasi Penerima Beasiswa Kip dengan Metode Moora (Studi Kasus : SMK Kesehatan Nusantara Sorong) Hamila Rumodar; Nur Miswar; Muh. Fadli Hasa
Framework : Jurnal Ilmu Komputer dan Informatika Vol 3 No 1 (2024): Framework : Jurnal ilmu komputer dan Informatika
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/jiki.v3i1.4254

Abstract

One of the problems faced by the Indonesian government in the field of education is the equalization of education from Sabang to Merauke in providing quality and superior education. In overcoming this, the Indonesian government runs a program called PIP (Smart Indonesia Program). PIP is a cash assistance program for education aimed at school-age children between 6 and 21 years old who have a low-income economic background so that they can experience fair and equal education services. A person who receives PIP will be given a marker card called the Smart Indonesia Card (KIP). Each educational unit or school has the right to propose students to receive PIP/KIP scholarships through the local Education Office. SMK Kesehatan Nusantara Sorong carries out the selection process for the eligibility of students for the proposal of PIP/KIP recipients which is still done subjectively and manually so that a solution is needed to reduce negative impacts such as not being on target, inefficient time and not being computerized. A decision support system can be applied to overcome these problems. DSS is built by implementing the RAD development method, the MOORA DSS method and the Black Box testing method and Usability Testing. The results of the selection process for the eligibility of PIP/KIP scholarship recipient recommendations on sample data are 20 alternatives with the highest ranking values, namely students 63, 12, 35, 55, 50, 57, 15, 23, 67, 28, 62, 40, 44, 9, 39, 8, 19, 29, 45, and 3 with the highest ranking value of 0.1285. The results of this study are a system that can be used to carry out the selection process for the eligibility of students for recommendations for PIP/KIP scholarship recipients.
Co-Authors Fajar Rahardika Bahari Putra Fitryani Tella Hamila Rumodar Mariana Anggraini Suwardi Ningsih Muhammad Jundullah Muzakkir Pangri