Article Per Year (5 Year)
p-Index From 2021 - 2026
1.383
P-Index
This Author published in this journals
All Journal JPM (Jurnal Pemberdayaan Masyarakat) Informatik : Jurnal Ilmu Komputer Media Jurnal Informatika Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Journal of Social Sciences and Technology for Community Service Jurnal Komputasi
Muhaqiqin
universitas lampung
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
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.
Pelatihan Pemanfaatan Gemini AI dalam Pembuatan Aplikasi Mobile untuk Guru TIK Lampung Selatan Muhaqiqin; Mohamad Zainudin; Ridho Sholehurrohman; Igit Sabda Ilman; Wartariyus; Riska Amalia Praptiwi; Istiana Ruswita
Journal Social Science And Technology For Community Service Vol. 6 No. 2 (2025): Volume 6, Nomor 2, September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i2.860

Abstract

This community service activity aimed to enhance the digital literacy and skills of ICT teachers in South Lampung in developing educational mobile applications using Gemini AI, given that most teachers had not mastered application programming or the use of AI in teaching. The offline training, held on July 27, 2025, at SMA Negeri 1 Kalianda, involved 25 ICT teachers and integrated practical-based training, the diffusion of Gemini AI science and technology, and intensive technical assistance. The material covered basic AI concepts, Gemini AI implementation with Android Studio Cloud, and practical prototype development for applications like practice questions and ICT dictionaries. As a result, 92% of participants found the training very helpful, and teachers successfully created AI-based application prototypes. This activity successfully improved teachers' literacy and skills, demonstrating their significant potential in developing learning technology. Further training with gradual difficulty levels, increased practice time, and program expansion are recommended to strengthen the digital learning ecosystem.
PENERAPAN ETIKA DIGITAL DALAM PEMBELAJARAN SEKOLAH DASAR UNTUK MEMBENTUK KARAKTER POSITIF DI ERA DIGITAL Ridho Sholehurrohman; Igit Sabda Ilman; Muhaqiqin; Wartarius; Muhammad Ferdiansyah; Chelsea Yetri
Laporan Upaya Nyata Inovasi Ilmu Komputer JPKM Lunik - Vol 04, No. 01, April 2026
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/lunik.v4i01.56

Abstract

Perkembangan teknologi digital yang pesat membawa dampak besar dalam berbagai aspek kehidupan, termasuk pendidikan. Di sekolah dasar, meskipun teknologi memberikan banyak peluang untuk pembelajaran, penggunaan teknologi yang tidak terawasi dengan baik dapat berisiko terhadap pembentukan karakter dan etika siswa. Salah satu masalah utama adalah kurangnya pemahaman siswa mengenai etika digital, yang mencakup privasi, interaksi di media sosial, serta perilaku yang sopan di dunia maya. Tujuan pengabdian ini adalah untuk meningkatkan kesadaran tentang etika digital di kalangan siswa, guru, dan orang tua di SD Negeri Magorejo. Kegiatan pengabdian ini meliputi pelatihan etika digital untuk siswa, workshop untuk guru, dan pendampingan orang tua. Evaluasi menunjukkan bahwa 94% peserta memahami etika digital, sementara 85% memahami cara menghadapi perundungan siber. Namun, masih diperlukan perbaikan dalam hal pengenalan informasi palsu. Program ini diharapkan dapat membantu pembentukan karakter positif siswa dalam menghadapi tantangan digital di era modern.
Peningkatan Kompetensi Guru Teknologi Informasi di Lampung Selatan melalui Pelatihan Prompt Kecerdasan Buatan Ridho Sholehurrohman; Igit Sabda Ilman; Agung Pambudi; Muhaqiqin; Muhammad Afdhaludin; Erin Eka Citra; Sandi Badiwibowo
Jurnal Pemberdayaan Masyarakat Vol 10 No 2 (2025): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i2.12801

Abstract

The rapid development of artificial intelligence (AI) technology has had a significant impact on the education sector, especially for Information and Communication Technology (ICT) teachers. Mastery of AI skills, particularly through prompt engineering techniques, is essential for teachers to create relevant, innovative, and curriculum-aligned questions and teaching materials. This community service activity aims to enhance the competencies of ICT teachers in Lampung Selatan, particularly at SMA Negeri 1 Kalianda and several other schools, in utilizing AI to support and enrich classroom learning. The main issue faced by the partner, the ICT teachers, is the lack of mastery of current technologies and limited knowledge of AI application in teaching. The implementation method includes literature study, face-to-face training, and evaluation of the activity's results. The training material focuses on introducing the basic concepts of AI, applying prompt engineering techniques, and using prompts to create AI-based questions that align with the school's learning needs. Evaluation results show that 89.4% of participants successfully mastered prompt engineering techniques and were able to implement them in creating questions and developing more effective teaching materials. This activity is expected to drive improvements in the quality of learning and support the sustainable implementation of AI in schools in Lampung Selatan.
Pengembangan Sistem Manajemen Gudang dengan Integrasi QR Code Real-time berbasis Full-Stack Javascript Rahman Taufik; Rifqi Febrianto; Igit Sabda Ilman; Muhaqiqin; Ridho Sholehurrohman
Informatik : Jurnal Ilmu Komputer Vol 21 No 2 (2025): Agustus 2025
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v21i2.11319

Abstract

Perusahaan sering menghadapi tantangan dalam pengelolaan stok dan ketersediaan barang akibat pencatatan yang tidak terorganisir. Untuk mengatasi masalah belum adanya pendekatan sistem manajemen gudang yang adaptif dan real-time berbasis framework, penelitian ini bertujuan mengembangkan sistem manajemen gudang terintegrasi dengan QR Code real-time. Pada studi ini, sistem dibangun menggunakan JavaScript framework (ReactJS, NodeJS, ExpressJS) dan dikembangkan menggunakan metodologi Scrum. Hasil evaluasi menunjukkan kinerja sistem yang baik dalam pengelolaan data, akurasi laporan, dan kemudahan transaksi. Meskipun fitur QR Code memerlukan optimasi lebih lanjut pada aspek aksesibilitas dan penggunaan real-time, sistem ini mampu meningkatkan akurasi dan efisiensi pengelolaan gudang, serta mempermudah pelacakan barang. Pengembangan selanjutnya dapat berfokus pada penyempurnaan fitur QR Code dan eksplorasi integrasi yang lebih luas.
Co-Authors Agung Pambudi Bambang Hermanto Chelsea Yetri Erin Eka Citra Handoyo Widi Nugroho Igit Sabda Ilman Igit Sabda Ilman Igit Sabda Ilman Istiana Ruswita Joko Triloka Mita Anggraaeni Mohamad Zainudin Muhammad Afdhaludin Muhammad Ferdiansyah Rahman Taufik Ridho Sholehurrohman Ridho Sholehurrohman Rifqi Febrianto Riska Amalia Praptiwi Rofif Ramadhan Khoirullah Sowija Sandi Badiwibowo Wartarius Wartariyus Wartariyus