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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Format : Jurnal Imiah Teknik Informatika Information System for Educators and Professionals : Journal of Information System Network Engineering Research Operation [NERO] Indonesian Journal of Artificial Intelligence and Data Mining JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS JURTEKSI Systemic: Information System and Informatics Journal Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Manajemen Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Scientific Journal of Informatics Journal of Innovation in Educational and Cultural Research Jurnal Inovasi Informatika International Journal of Computer and Information System (IJCIS) Journal of Informatics Management and Information Technology Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Ilmiah Sistem Informasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) IPSIKOM Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Jurnal Bisnis Digital dan Enterpreneur (BISENTER) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Teknologi Dan Sistem Informasi Bisnis
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PENGEMBANGAN SISTEM BACKEND USER PADA APLIKASI UINSA FOOD MENGGUNAKAN FRAMEWORK LARAVEL 10 Pratama, Rakadian Audiga; Ridwan, Mujib; Prianto, Kusnul
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 12, No 2 (2024): DESEMBER 2024
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v12i2.332

Abstract

Proyek "Pengembangan Web Aplikasi Sistem Catering Online UINSA Food" bertujuan untuk mengembangkan aplikasi web yang memungkinkan pemesanan katering secara langsung dengan menyertakan detail menu yang tersedia. Aplikasi ini secara otomatis mengirimkan detail pemesanan kepada admin dan penjual, menghilangkan kebutuhan konfirmasi ulang oleh pengguna. Metodologi yang digunakan mencakup analisis kebutuhan, desain sistem, pengembangan menggunakan framework Laravel 10, serta uji coba aplikasi. Hasilnya menunjukkan bahwa aplikasi ini berhasil meningkatkan efisiensi dan kemudahan dalam pemesanan layanan katering di Pusat Pengembangan Bisnis (PUSBIS) UIN Sunan Ampel Surabaya. Aplikasi ini juga memberikan pengalaman baru bagi pengguna dengan antarmuka yang user-friendly dan fitur lengkap. Kesimpulannya, proyek ini tidak hanya meningkatkan kualitas layanan katering di UINSA, tetapi juga memberikan pengalaman praktis bagi mahasiswa dalam pengembangan perangkat lunak, mendukung integrasi antara dunia pendidikan dan dunia kerja.
COBIT 5-Based Evaluation of Sidalih Operational Governance in East Java Election Commission Retnaningrum, Dea Ayu; Rolliawati, Dwi; Ridwan, Mujib
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 3 (2025): November: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ckgywg80

Abstract

Sistem pengelolaan data pemilih yang andal sangat krusial bagi kredibilitas pemilu. Komisi Pemilihan Umum Provinsi Jawa Timur menggunakan Sidalih sebagai platform utama untuk pemutakhiran dan pengelolaan data pemilih. Penelitian ini mengevaluasi tata kelola operasional Sidalih menggunakan framework COBIT 5 pada domain DSS (DSS01, DSS02, DSS05). Penelitian bersifat kualitatif deskriptif dengan wawancara mendalam kepada satu orang operator Sidalih KPU Provinsi Jawa Timur dan analisis dokumen operasional yang dikumpulkan pada periode Maret–Mei 2025. Data dipetakan ke indikator COBIT 5 dan diberi skor capability 0–5 berdasarkan analisis naratif untuk kemudian dihitung level kapabilitas dan gap terhadap tingkat target (level 3). Hasil menunjukkan kelemahan pada dokumentasi proses, pencatatan insiden, dan audit keamanan berkala. Rekomendasi prioritas meliputi penyusunan SOP operasional, implementasi sistem tiket insiden, pelaksanaan audit keamanan berkala, serta peningkatan pelatihan pengguna. Studi ini menyajikan model penilaian yang dapat dijadikan acuan bagi KPU untuk meningkatkan tata kelola operasional Sidalih. 
Determinants Analysis of Ride-Hailing Application Acceptance: SEM - Neural Network Approach Ramadhan, Audi Cahya Lucky; Amrozi, Yusuf; Ridwan, Mujib
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 8 No 1 (2023): Jurnal NUSAMBA
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nusamba.v8i1.18639

Abstract

Research aim : This research aimed to develop a technology acceptance model based on innovation and marketing perspective on ride-hailing services application. Design/Methode/Approach : This research is an explanatory quantitative research that use a primary data which collected from 303 ride-hailing services application users with questionnaire. The methods were used in this research is SEM - neural network methods. SEM is used to analysis the significant of effect of independent variable on dependent variable while neural network is used to identify the most importance independent variable on explaining dependent variable. Research Finding : First, the SEM analysis result shows that relative advantage, price, promotion and distribution have an impact on user satisfaction. In intention to use variable furthermore, The only influencing variables are user satisfaction and distribution. Second, the results of neural network analysis on user satisfaction model shows that promotion is the most importance variable in explaining user satisfaction with followed by relative advantage, price and distribution. In neural network model of intention to use, user satisfaction is the most importance variable with followed by distribution. Theoretical contribution/Originality : With the results of this study it can be said that there is an integration of aspects of innovation and marketing in explaining application user acceptance. Practitionel/Policy implication : This research can be one of the considerations for the management of online transportation services to make a decision related to the service quality development, especially from the aspect of customer-based innovation and marketing. Research limitation : The limitations in this study are limited to use of neural networks as a machine learning method and conceptual aspects of innovation and marketing in explaining application user acceptance.
Implementasi Algoritma Convolutional Neural Network (CNN) Untuk Klasifikasi Kerapihan Ruangan Irfan Andito Mahameru; Ravly Dwi Septian; Dwi Rolliawati; Mujib Ridwan
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.606

Abstract

This study implements a Convolutional NeurallNetwork (CNN) to classify room images into two categories: messy and clean. The model utilizes VGG16 as a feature extractor, followed by fully connected layers and a sigmoid activation function in the output layer. This approach is simpler compared to the softmax scheme, which is commonly used for multi-class classification. The dataset was augmented to enhance the model's generalization. Evaluation results show a validation accuracy of 98,63%, indicating the effectiveness of the model in binary classification tasks
ANALISIS KEPUASAN PENGGUNA DAN KEPERCAYAAN PUBLIK PADA APLIKASI GOBIS SURABAYA MENGGUNAKAN METODE CUSTOMER SATISFACTION INDEX (CSI) Taufik Ramadhani Rahman Putra; Andhy Permadi; Mujib Ridwan
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 1 (2026): JATI Vol. 10 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i1.17096

Abstract

Aplikasi GOBIS Surabaya yang diluncurkan pada tahun 2018 merupakan implementasi e-government untuk layanan transportasi publik di Kota Surabaya dengan menyediakan fitur pelacakan bus secara real-time, informasi halte, dan jadwal keberangkatan. Meskipun telah mencatatkan lebih dari 500.000 unduhan, aplikasi ini mengalami penurunan rating yang signifikan dari 4,0 menjadi 3,0 pada Juli 2025 disertai berbagai keluhan pengguna terkait ketidakakuratan sistem GPS, gangguan teknis berupa aplikasi yang sering mengalami crash, serta keterbatasan fungsionalitas yang mencerminkan adanya kesenjangan antara ekspektasi pengguna dengan kinerja aktual aplikasi. Penelitian ini dilakukan untuk menganalisis tingkat kepuasan pengguna dan kepercayaan publik terhadap aplikasi GOBIS Surabaya dengan menggunakan metode Customer Satisfaction Index (CSI) yang berfokus pada aspek fungsionalitas aplikasi. Data dikumpulkan melalui penyebaran kuesioner kepada 100 responden pengguna aplikasi GOBIS di Terminal Joyoboyo yang ditentukan menggunakan rumus Slovin dengan margin error 10% dan teknik random sampling. Hasil penelitian menunjukkan bahwa tingkat kepuasan pengguna berada pada angka 76,58% yang termasuk dalam kategori puas dengan System Reliability memperoleh skor tertinggi yaitu 77,13%, sedangkan tingkat kepercayaan publik mencapai 77,03% yang termasuk kategori percaya dengan keakuratan sistem sebagai indikator tertinggi pada angka 79,04%. Akar masalah utama teridentifikasi pada aspek desain visual antarmuka serta transparansi komunikasi dalam proses pengembangan aplikasi
NLP-driven hate speech detection on TikTok: a case study from UIN Sunan Ampel Surabaya Achmad Teguh Wibowo; Aris Fanani; Mujib Ridwan; Bramasta Kurnia Aji
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27419

Abstract

This study examines hate speech detection in TikTok comments using natural language processing (NLP) techniques within the student community of UIN Sunan Ampel Surabaya. A dataset of 10,000 comments associated with the hashtag #PBAKUINSA2023 was analyzed using a lexicon-based sentiment analysis approach implemented through the TextBlob library, combined with Indonesian text preprocessing techniques, including tokenization, normalization, stopword removal, and stemming using the Sastrawi library. The results indicate that the proposed approach achieved an accuracy of 0.85, with precision of 0.88, recall of 0.83, and an F1-score of 0.854. Most comments were classified as neutral, while 31.8% were positive, and only a small proportion were negative. These findings suggest that discussions related to campus activities tend to be neutral or supportive. However, the findings also reveal that sentiment polarity does not always directly correspond to hate speech, as certain harmful expressions may appear neutral in lexicon-based analysis. This limitation highlights the need for more context-aware approaches. Overall, the proposed method provides an efficient solution for monitoring online discourse in academic environments.
Evaluasi Keamanan Informasi pada Perusahaan Skincare DNY Berdasarkan Indeks Keamanan Informasi (KAMI) ISO/IEC 27001:2013 Ozilla Junior Pratomo; Mohammad Ulil Azmi Al Huraibi; Mujib Ridwan
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 10 No 2 (2025): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/isbi.v10i2.3670

Abstract

The implementation of an information security system at DNY Skincare Company using the KAMI index in accordance with ISO/IEC 27001 standards shows satisfactory results. This study evaluates the maturity level of information security governance, asset management, and the risks faced by the company. The evaluation results indicate that the company has effectively implemented information security policies, particularly in personal data protection. However, there are several areas that still need improvement, such as data validity and risk management. The KAMI index provides insights into the company's readiness to face information security challenges. These findings emphasize the importance of continuous improvement to ensure optimal protection of consumer information and compliance with international standards.
Implementasi Pengembangan Aplikasi Security Clearance dan Pengajuan ID Card Bandara Berbasis Web Muh. Batni Mukharroro; Mujib Ridwan
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 4 (2026): Oktober 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i4.273

Abstract

The administration of Security Clearance applications and restricted access ID Card issuance in airport environments currently faces significant operational obstacles due to conventional procedures relying on manual paper forms and physical archives. These real-world challenges include high risks of applicant data inaccuracies, prolonged file verification workflows across airport personnel, a lack of real-time application status tracking visibility, and vulnerable monitoring of credential expiration dates that potentially create security gaps within vital airport zones. This research aims to design and develop an integrated web-based Security Clearance and airport ID Card management information system to automate administrative workflows and enforce rigorous security access compliance. The software development methodology employed is the Agile Scrum framework executed across three structured sprint cycles, incorporating requirements analysis, centralized business rules enforcement, functional validation via Black Box Testing, and role-based access control implemented using Python and the Flask framework. The research results demonstrate that this integrated web system successfully automates the entire sequence of employee registration, application filing, document uploading, hierarchical administrative verification, and active credential lifecycle monitoring. Comprehensive Black Box Testing across all functional and security scenarios achieved a one hundred percent pass rate, proving that the system effectively minimizes bureaucratic delays, prevents employee record duplication, and significantly enhances administrative transparency, data integrity, and airport operational processing efficiency.