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SISTEM DISTRIBUSI SEDERHANA PENJUALAN KOPI LAMPUNG MENGGUNAKAN ALJABAR MAX-PLUS Ridho Sholehurrohman; Igit Sabda Ilman; Bambang Hermanto; Muhaqiqin
Jurnal Komputasi Vol. 12 No. 1 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i1.246

Abstract

Distribusi penjualan kopi Lampung dapat dimodelkan dengan menggunakan aljabar max-plus. Dalam memodelkan antrian distribusi penjualan kopi, digunakan software Petri Net untuk menggambarkan antrian distribusi kopi tersebut. Metode aljabar max-plus dapat memperoleh suatu model sistem antrian yang terserver ditoko. Penelitian ini memanfaatkan model tersebut untuk menghitung suatu antrian distribusi penjualan kopi Lampung dengan waktu tunggu secara periodik berdasarkan nilai eigen dan vektor eigennya. Hasil dan analisis pada penelitian menunjukkan bahwa sistem distribusi menggunakan aljabar max-plus sangat efektif dibanding dengan metode manual atau metode konvensional mandiri
SISTEM INFORMASI MANAJEMEN SURAT PADA FITUR SURAT DINAS DI BADAN PUSAT STATISTIK KABUPATEN PRINGSEWU Ridho Sholehurrohman; Igit Sabda Ilman; Mita Anggraaeni; rahman taufik; Muhaqiqin
Jurnal Komputasi Vol. 13 No. 1 (2025)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v13i1.280

Abstract

The development of information technology is getting faster so that there are many uses of computer-based programs that help the performance of an organization, both offices and companies. One of the organizations that utilizes information technology is the BPS Pringsewu. In data processing, BPS really determines how far the level of accuracy and precision of the statistical data produced. Also in its development, the BPS Pringsewu made use of the use of computer technology by using a mail management information system. In the mail management information system it is effectively and efficiently to assist the process of inputting data encountered and possibly when errors (fails) occur when typing is done repeatedly. From the results of the research conducted, it can be concluded that the Mail Management Information System on Official Letter Features is a website-based information system that has two levels of users, namely admin and employees. This system is expected to facilitate agencies in the process of storing incoming and outgoing mail data, and facilitate the process of automatically assigning outgoing mail numbers. Furthermore, from the results of black-box testing and User Acceptance Testing was found that this system has user friendly features making it easier for users to use the system, seen in the average test questionnaire getting 95.68%.
Implementasi UI/UX Sistem Informasi Dinas dan Surat (SIDORA) Berbasis Website di Dinas Tenaga Kerja Provinsi Lampung Muhaqiqin; Wartariyus; Igit Sabda Ilman; Ridho Sholehurrohman; Agung Pambudi; Rofif Ramadhan Khoirullah Sowija
Jurnal Komputasi Vol. 14 No. 1 (2026)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v14i1.359

Abstract

Penelitian ini mengimplementasikan antarmuka pengguna (UI) dan pengalaman pengguna (UX) pada Sistem Informasi Dinas dan Surat (SIDORA) berbasis website di Dinas Tenaga Kerja Provinsi Lampung. Laporan ini bertujuan untuk menerapkan ilmu yang diperoleh selama perkuliahan, memahami alur kerja instansi, serta mengembangkan solusi digital guna mempermudah proses administrasi surat yang sebelumnya masih dilakukan secara manual. Metodologi yang digunakan adalah System Development Life Cycle (SDLC) dengan tahapan perencanaan, analisis, perancangan, implementasi, dan pemeliharaan. Sistem SIDORA dirancang untuk mendukung digitalisasi proses surat-menyurat, mulai dari pembuatan, pengajuan, persetujuan, hingga penandatanganan digital, dengan melibatkan tiga peran pengguna utama: Pegawai, Pimpinan, dan Super Admin. Solusi ini mengatasi masalah keterlambatan, risiko kehilangan data, dan duplikasi informasi yang sering terjadi pada proses manual. Implementasi sistem menggunakan framework Laravel menghasilkan antarmuka yang sederhana dan mudah digunakan.Untuk mengukur kelayakan sistem, dilakukan pengujian usability menggunakan metode System Usability Scale (SUS). Hasil pengujian terhadap lima partisipan menunjukkan skor rata-rata SUS sebesar 89,5, yang termasuk dalam kategori Sangat Baik (Excellent). Nilai ini menunjukkan bahwa sistem SIDORA sangat mudah digunakan, memiliki navigasi yang jelas, dan diterima dengan baik oleh pengguna akhir. Secara keseluruhan, proyek ini berhasil menyediakan solusi teknologi yang efektif dan efisien untuk meningkatkan kualitas pelayanan publik di Dinas Tenaga Kerja Provinsi Lampung
Machine Learning Regression Model: Exploring Regression Algorithms for Mercedes-Benz Price Prediction Ridho Sholehurrohman; Muhaqiqin; Igit Sabda Ilman; Agung Pambudi; Wartariyus; Joko Triloka; Handoyo Widi Nugroho
Media Jurnal Informatika Vol 18 No 1 (2026): Media Jurnal Informatika
Publisher : Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v18i1.6476

Abstract

Predicting luxury car prices, such as Mercedes-Benz, remains challenging due to multiple interacting variables, including model, ratings, and market conditions. This study compares six regression algorithms, Linear Regression, Random Forest, Gradient Boosting, XGBoost, K-Nearest Neighbors, and AdaBoost, to identify the most effective model for Mercedes-Benz price prediction. A Kaggle dataset of 10,432 records was preprocessed through cleaning, removal of missing values (resulting in 10,307 records), One-Hot Encoding for categorical variables, and standardization of numerical features using StandardScaler, then split into 80% training and 20% testing data. Model performance was evaluated using MSE, RMSE, and R². Random Forest achieved the best performance (R² = 0.97; RMSE: $3,917), followed closely by Gradient Boosting (R² = 0.96; RMSE: $4,359) and XGBoost (R² = 0.96; RMSE: $4,305). Linear Regression achieved a similar R² (0.96) but higher errors (RMSE: $4,767), while AdaBoost (R² = 0.95; RMSE: $4,897) and KNN (R² = 0.90; RMSE: $5,657) showed lower performance. These findings confirm that ensemble methods, particularly Random Forest, significantly outperform traditional and distance-based approaches for luxury car price prediction. This study provides a comprehensive comparative framework for automotive pricing analytics, with future research directions including additional features, hyperparameter tuning, and integration of external market factors to further enhance prediction accuracy.
Co-Authors Agung Pambudi Bambang Hermanto Handoyo Widi Nugroho Igit Sabda Ilman Igit Sabda Ilman Joko Triloka Mita Anggraaeni Rahman Taufik Ridho Sholehurrohman Ridho Sholehurrohman Rofif Ramadhan Khoirullah Sowija Wartariyus Wartariyus