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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Pseudocode Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JIKO (Jurnal Informatika dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Computer Based Information System Journal JURNAL TEKNOLOGI DAN OPEN SOURCE JOISIE (Journal Of Information Systems And Informatics Engineering) JSAI (Journal Scientific and Applied Informatics) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem Informasi dan Informatika (SIMIKA) Prosiding National Conference for Community Service Project JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Infotech: Journal of Technology Information Jurnal Teknologi Informatika dan Komputer Jurnal Teknologi Informasi dan Komunikasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Telcomatics Journal of Information System and Technology (JOINT) Journal of Computer and Information System (J-CIS) Jurnal Media Computer Science JOINCS (Journal of Informatics, Network, and Computer Science) Indonesian Research Journal on Education Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Business, Social Sciences and Technology (CoNeScINTech) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer INOVTEK Polbeng - Seri Informatika
Syaeful Anas Aklani, Syaeful
Universitas Internasioanl Batam
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ANALISIS ALGORITMA MONTE CARLO UNTUK MEMPREDIKSI KEUNTUNGAN PEMBANGUNAN APARTEMEN MENGGUNAKAN SCRUM FRAMEWORK Welliam Ali; Syaeful Anas Aklani
BETRIK Vol. 13 No. 03 (2022): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/0085zg91

Abstract

This study aims to predict profits in apartment projects. This research was made using the Scrum framework in making AI applications and predicting the benefits of using Monte Carlo. Besides that, making AI applications uses PHP and Xampp to make AI. This study uses qualitative methods to 5 people at different developers. The findings of this study indicate that the results on the analysis of ai applications on the benefits of apartment projects are in accordance with the results on the benefits of projects in the field. The model used by the author is Scrum to help authors complete work one by one quickly and can be recognized in doing Scrum. Scrum is divided into 3 namely Product Owner, Development Team and Scrum Master. Where the Scrum Master is in charge of ensuring the sprint goes well and the Development Team and Product Owner to analyze and design applications. The findings of this study are useful for developers to predict profits in apartment projects to be built.
Agile Scrum Analysis Of Stakeholder Management Effectiveness In The Batam Real Estate Industry (Case Study: Pt Crisanta Jaya Abadi) Fernando Jose; Zulkarnain Zulkarnain; Syaeful Anas Aklani
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.10608

Abstract

The real estate industry in Batam City faces dynamic market conditions and high stakeholder complexity, requiring the adoption of flexible and adaptive project management approaches. Agile Scrum has emerged as an alternative method; however, empirical studies examining its implementation in stakeholder management within the real estate sector remain limited. This study aims to analyze the implementation of Agile Scrum and its impact on the effectiveness of stakeholder management in real estate projects at PT Crisanta Jaya Abadi. The research employs a qualitative approach using a case study method. Data were collected through in-depth interviews with eight informants consisting of company management and project team members directly involved in project execution. The collected data were analyzed using thematic analysis to identify key patterns and themes based on stakeholder perceptions. The results indicate that the implementation of Agile Scrum enhances flexibility in responding to dynamic stakeholder requirements, improves project transparency and communication effectiveness, and supports faster and more accurate cross-functional decision-making. Furthermore, both internal and external stakeholder involvement becomes more active through continuous feedback mechanisms throughout the project lifecycle. Nevertheless, the success of Agile Scrum implementation is strongly influenced by human resource readiness and consistency in applying Agile principles. This study is expected to provide practical insights for real estate companies and contribute to academic literature on the application of Agile Scrum in non-information technology sectors.
Development of an Automated Attendance System Based on Facial Recognition Using Convolutional Neural Networks (CNN) for Kaca Super Jaya MSME: Pengembangan Sistem Kehadiran Otomatis Menggunakan Pengenalan Wajah Menggunakan Convolutional Neural Network (CNN) terhadap UMKM Kaca Super Jaya Syaeful Anas Aklani; Jetset; Suwarno Suwarno
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 9 No. 1 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v9i1.1692

Abstract

Attendance management is a critical component of human resource administration, yet conventional methods such as manual sign-in sheets and card-based systems are often inefficient, error-prone, and vulnerable to manipulation. This study aims to design and implement an automatic attendance system based on face recognition using Convolutional Neural Networks (CNN) for UMKM Kaca Super Jaya. The proposed system replaces manual attendance by enabling real-time, contactless, and automated attendance recording through facial identification. An applied research approach with qualitative methods was employed, involving system development, direct observation, and structured interviews with users. The CNN model was trained using facial image datasets under various conditions, including different lighting levels, facial expressions, and viewing angles, to improve robustness and accuracy. The system architecture integrates a camera as input, a CNN-based face recognition model, a backend server, and a web-based dashboard for attendance monitoring and reporting. Experimental results show that the system achieved an average face recognition accuracy of 96%, demonstrating reliable performance even under suboptimal lighting and non-frontal face angles. The implementation significantly reduced attendance processing time, minimized human error, and lowered the potential for fraudulent practices such as proxy attendance. These findings indicate that CNN-based face recognition is an effective and practical solution for enhancing attendance management efficiency and accuracy in small and medium enterprises.
Transformasi Digital, Media Sosial, dan Teknologi Informasi terhadap Daya Saing UMKM Mobil Bekas Kota Batam DESI RENATA SINURAT DESI; SURYA TJAHYADI; SYAEFUL ANAS AKLANI
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9268

Abstract

This study aims to analyze the influence of digital transformation, social media, and information technology on the competitiveness of used car MSMEs in Batam City. A quantitative research approach was employed with a sample of 89 respondents. The results of the classical assumption tests indicate that the data are normally distributed, as shown by the Kolmogorov–Smirnov Z value of 0.068 and a significance level of 0.200 (>0.05). The multicollinearity test results show no indication of multicollinearity, with Tolerance values greater than 0.10 and VIF values below 10 (X₁ = 1.685; X₂ = 1.062; X₃ = 1.614). The heteroscedasticity test results also confirm that the model is free from heteroscedasticity, as all independent variables have significance values greater than 0.05. The simultaneous F-test shows that digital transformation, social media, and information technology collectively have a significant effect on MSME competitiveness, with an F-value of 3.264 and a significance of 0.000 (<0.05). Partial t-tests indicate that all three variables have a positive and significant influence, with a significance value of 0.000. Digital transformation has the most dominant effect (B = 0.406, t = 2.908), followed by information technology (B = 0.306, t = 2.438) and social media (B = 0.066, t = 2.518). These findings demonstrate that implementing digital transformation supported by effective utilization of social media and information technology can enhance the competitiveness of used car MSMEs in Batam City by improving operational efficiency, service innovation, and digital marketing effectiveness.
PERANCANGAN APLIKASI SOFTWARE DEFECT DETECTION DENGAN ALGORITMA BACKPROPAGATION, PCA DAN SVM Mangapul Siahaan; Rubin Rubin; Syaeful Anas Aklani
Infotech: Journal of Technology Information Vol 12, No 1 (2026): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v12i1.579

Abstract

Software defects are a major issue in software development because they can affect the quality, reliability, and performance of a system. As digital technology advances at an increasingly rapid pace, software complexity is also rising, thereby increasing the likelihood of software defects. This study aims to apply and compare several machine learning and artificial intelligence methods for detecting software defects. The methods used in this study include Support Vector Machine (SVM), Principal Component Analysis (PCA) as a dimension reduction technique, and Backpropagation as a neural network-based method. The research process was conducted through a series of experiments to evaluate and compare the performance of each method based on the accuracy values obtained. The results show that the combination of SVM and PCA provides the best performance in detecting software defects compared to other methods. The highest accuracy obtained was 85.78% when using 13, 15, and 16 PCA components. Meanwhile, SVM without PCA achieved an accuracy of 85.47%, and Backpropagation achieved an accuracy of 84.83%. These results indicate that the application of PCA is capable of improving SVM classification performance through a dimension reduction process that preserves important features in the dataset. However, the performance achieved is still influenced by the characteristics of the dataset, the data distribution, and the model configuration used.
ANALISIS PENGARUH TEKNIK FOTOGRAFI TERHADAP CITRA MEREK DALAM IKLAN PRODUK: Analysis of the Influence of Photography Techniques on Brand Image in Product Advertising Hendi Sama; Kenny Wilson; Syaeful Anas Aklani
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 1 (2024): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i1.4078

Abstract

This research aims to fill the knowledge gap and comprehensively analyze the impact of photographic techniques on brand image in product advertising. Illumination, motion effects, focus and sharpness, as well as composition, have been identified as key factors that significantly influence how consumers perceive and accept brands through advertising media. The quantitative research method, specifically simple random sampling and causal-comparative were used in this study to collect and analyze data from a number of respondents involved in the research. The carefully conducted and valid data analysis using SPSS 26 software confirms that photographic techniques have a significantly positive impact on brand image in product advertising. This research has highly relevant implications for marketing and advertising practitioners seeking to enhance the effectiveness of their product advertising. With a deeper understanding of how photographic techniques influence brand image, practitioners can design more captivating and influential advertisements, thus shaping consumer perceptions more effectively. This study provides a crucial contribution to understanding the essential role of photography in shaping brand image, which is now more relevant than ever in an era of marketing that is increasingly focused on visual elements and digital media.
Optimizing Prompt Engineering for AI-Based Logo Generation Using Response Surface Methodology Shermay; Syaeful Anas Aklani; Muhamad Dody Firmansyah
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4959

Abstract

This research developed an optimized prompt engineering framework for AI-based logo generation using Response Surface Methodology (RSM) with Central Composite Design (CCD). Despite rapid AI adoption, users face challenges in communicating design intent effectively, leading to inconsistent outputs. This study systematically tested 47 prompt combinations across five variables: prompt clarity, detail level, thematic description, visual elements, and color specification. The optimization identified eight critical components forming a structured template: Main Design Focus, Detail Elements, Thematic Style, Primary Colors, Complementary Colors, Rewording, Layout Size, and Element Limit. Experimental validation with 30 graphic designers demonstrated substantial improvements over unstructured prompts: visual consistency increased from 65% to 87%, iteration efficiency improved by 48.5% (from 6.6 to 3.4 attempts), and user satisfaction rose from 58% to 82%. Both manual designers and AI-experienced users successfully applied the framework with comparable effectiveness. This research contributes a systematic, optimization-based approach to prompt engineering in creative AI applications and provides a practical framework enhancing accessibility for non-technical users while maintaining professional quality standards in logo desin.
Pengembangan Aplikasi Web untuk PT. Smart Vape Factory Suwarno; Josua Yoprisyanto; Syaeful Anas Aklani
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10726

Abstract

Kegiatan magang ini dilaksanakan di Smart Vape Factory, sebuah perusahaan manufaktur vape yang berfokus pada pengembangan produk inovatif di bidang rokok elektrik. Selama masa magang, penulis berperan sebagai web developer dengan tanggung jawab utama merancang dan mengembangkan website perusahaan yang berfungsi sebagai katalog produk. Pengembangan website dilakukan menggunakan framework Next.js sebagai frontend dan StrapiJS sebagai headless CMS untuk backend. Fokus utama dalam pengembangan adalah pada optimasi Search Engine Optimization (SEO) guna meningkatkan visibilitas website di mesin pencari. Hasil dari pengembangan menunjukkan bahwa integrasi antara Next.js dan StrapiJS mampu menghasilkan website yang responsif, mudah dikelola, serta SEO-friendly. Website juga telah diuji menggunakan tools seperti Google Lighthouse dan menunjukkan skor performa dan SEO yang baik. Dengan adanya website ini, perusahaan dapat memperluas jangkauan informasi produk secara digital dan meningkatkan kredibilitas brand di pasar global.
Perancangan dan Pengembangan Website Tracer Study di SMA Katolik Yos Sudarso Batam Syaeful Anas Aklani; Delvin Jason; Hendi Sama
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10815

Abstract

This study examines the design and development of a Tracer Study website at SMA Katolik Yos Sudarso Batam to address the issue of fragmented and non-integrated alumni data. The implementation began with structured interviews of administrative staff to identify functional requirements, followed by UI/UX design in Figma with iterative partner feedback, and development using PHP Laravel and a MySQL database. The system features alumni registration with NIS validation, an analytics dashboard for administrators, and a bulk data import module. Results indicate a shift from manual to automated data verification, easier monitoring of alumni progression, and comprehensive technical documentation and user guides. Recommendations for future research include implementing automated notification mechanisms, conducting regular performance and security audits, and extending analytical modules to support more responsive curriculum decision-making.
Perancangan dan Implementasi Website Company Profile untuk PT. Ng Tech Supplies Atnan Ari Anderson; Syaeful Anas Aklani; Muhamad Dody Firmansyah
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10881

Abstract

Kerja Praktik yang dilaksanakan di PT. Ng Tech Supplies bertujuan untuk merancang dan mengimplementasi website company profile guna untuk memperbaharui tampilan dan informasi website company profile terdahulu. Latar belakang pelaksanaan kegiatan ini adalah PT. Ng Tech Supplies memilki website profil perusahaan yang dapat diakses oleh public untuk mencari informasi terkait produk yang disediakan, akan tetapi informasi pada website PT Ng Tech Supplies sudah tidak di perbaharui sehingga memiliki informasi yang tidak relevan atau tidak akurat serta memililki desain yang kurang modern. Metode yang digunakan dalam kegiatan ini adalah Pelaksanaan kerja praktik ini mengacu pada model pengembangan sistem Rapid Application Development (RAD) menggunakan Wordpress. Hasil akhir dari kegiatan ini adalah perancangan dan implementasi website profil perusahaan yang meliputi beberapa halaman utama seperti Home, Product, Product Detail, About, dan Contact. Desain awal dikembangkan dalam bentuk template yang kemudian dimodifikasi mengikuti preferensi mitra. Evaluasi menunjukkan bahwa pembaharuan terhadap website mempercepat peforma website menjadi lebih baik melalui test lighthouse dan juga memiliki tampilan yang responsif serta lebih modern. Dengan demikian, kegiatan kerja praktik ini tidak hanya memberikan kontribusi nyata dalam bentuk sistem informasi yang bermanfaat bagi mitra, tetapi juga meningkatkan keterampilan teknis dan komunikasi profesional mahasiswa dalam dunia kerja nyata. Kata Kunci: Website Company Profile, Wordpress, Desain, Rapid Application Development (RAD).
Co-Authors Aldovanda Haflah Setiawan Alex Setiawan Aliefazlea, Qanaya Dherryl Anderson, Atnan Ari Anson Anson Atnan Ari Anderson Basiron, Halizah Chadric, Felix Charles, Kevin Christina, Lidya Daniel Lim David David Dayton Dayton Dedy Susanto Delvin Jason Delvin Jason Derwin Galen DESI RENATA SINURAT DESI Dr. Hendi Sama, S.Kom., M.M.e-Business. Dzaki Muhammad Edwin Charley Eka Sucipto Elia, Elia Elvert Elvert Eric Lau Erlina Erlina Erwin Erwin Eryc Eryc Felicia Diana Rose Felix Favian Felix, Ivan Fernando Jose Firmansyah, Muhamad Dody Francisco Francisco Franky Chainoor Johari Haeruddin Haeruddin Haeruddin, . Haslim, Sartika Dewi Hertianto Hertianto Hosse Fernando Inocenth Ramdhany Irawan, Calvianthieno Ivan Felix Jacky Jacky Jacky, Jacky Jason Aaron Yang Jenary Randa Liling Jenry Winata Jesselyn Jesslyn, Jesslyn Jetset Jetset Jetset Jimmy Chandra Jonathan Jonathan Josua Yoprisyanto Josua Yoprisyanto Julyan Adi Saputra Julyan Adi Saputra Julyanto Julyanto Junifer, Junifer Juzariah Juzariah Juzariah, Juzariah Kelvin Wijaya, Kelvin Kelvyn Kelvyn Kelvyn Kendrik Jonatan Kenny Wilson Lidya Christina Lubis, Nywara Natriyasmara Melsen Melsen Muhamad Dody Firmansyah Muhammad Ardiansyah Muhammad Dody Firmansyah Muhammad Tsabit Tamani Muhammad Zhian Mungkap Mangapul Siahaan Nellsen Purwandi Novita Putri Parlindungan Tampubolon Petrick Handy Putra Prasetyo, Stefanus Eko Pratama, Jimmy Purwandi, Nellsen Puspitasari, Divanaka Putra, Muhamad Zhabiyan Dwi Putri, Novita Randa Liling, Jenary Randy Sitompul Regina, Alya Renata, Doreen Rio Fernando, Rio Rosario, Rakit Ricardo Rubin Gu Rubin Rubin Ryan Gunawan Ryo Winata Salsabila, Nanda Salsabilah, Anisah Sama, Hendi Sama, Hendi Setiawan, Aldovanda Haflah Shanata Limanto Sherlyn, Sherlyn Shermay Sihombing, Angelika Putri Stephanie Stephanie Steven Steven Susanti, Aida Suwarno Suwarno Liang Suwarno Suwarno Suwarno Suwarno Tjahyadi, Surya Tony Jack Tan Ding Welliam Ali Welliam Ali Wilson Wilson Wiyandi, Wiyandi Yang, Jason Aaron Yanto Gui Yasa, Irma Sefina Yoprisyanto, Josua Yu Lun Zoin, Shania Zulkarnain Zulkarnain Zulkarnain, Nur Zareen