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All Journal Jurnal Transformatika CESS (Journal of Computer Engineering, System and Science) Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Ilmiah Sinus Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JITU : Journal Informatic Technology And Communication TIN: TERAPAN INFORMATIKA NUSANTARA Information System Journal (INFOS) Bulletin of Computer Science Research Arcitech: Journal of Computer Science and Artificial Intelligence Adopsi Teknologi dan Sistem Informasi Journal of Data Insights Tematik The Indonesian Journal of Computer Science Jurnal DIMASTIK
Ahmad Rifa’i
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Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Transportation Veterinary Other

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Komparasi Metode Klasifikasi Batik Menggunakan Neural Network Dan K-Nearest Neighbor Berbasis Ekstraksi Fitur Tekstur Badroe Zaman; Ahmad Rifai; Mohammad Burhan Hanif
Journal of Information System and Informatics Vol 3 No 4 (2021): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v3i4.213

Abstract

Batik tulis adalah hasil seni budaya yang memiliki keindahan visual dan mengandung makna filosofis pada setiap motifnya. Batik tulis memiliki morif yang sangat beragam dan memiliki tingkat kompleksitas yang tingi sehingga menjadi kesulitan tersendiri dalam pengelompokan kelas batik tertentu. Klasifikasi citra ke dalam kelas tertentu juga menjadi permasalahan yang pelik dalam bidang pengenalan pola. Metode machine learning dapat digunakan untuk mengenali kelas batik melalui pengenalan citra batik. Namun belum banyak penelitian terkait studi komparasi klasifikasi citra batik. Sehingga penelitian ini berfokus pada data set citra batik tulis yang menggunakan dua motif yaitu motif klasik dan motif kontemporer. Pada penelitian ini, fitur ekstraksi menjadi dasar klasifikasi dengan metode Backpropagation Neural Network dan k-Nearest Neighbor. Tujuan dari penelitian ini untuk menemukan pola baru dalam data dengan menghubungkan pola data yang sudah ada dengan data yang baru. Selanjutnya, penelitian ini melakukan perbandingan metode klasifikasi antara Backpropagation Neural Network dan k-Nearest Neighbor untuk mencari metode klasifikasi terbaik untuk klasifikasi Batik tulis Bakaran. Hasil dari studi komparasi menunjukkan bahwa metode Backpropagation Neural Network memperoleh nilai akurasi 90,11% sedangkan metode k-Nearest Neighbor mendapatkan nilai akurasi 96,00%. Sehingga dapat di simpulkan bahwa metode k-Nearest Neighbor merupakan metode terbaik untuk klasifikasi citra batik.
Virtual Tour Reality Application Using Panoramic Image Method for Introduction to Semarang University Campus Siti Asmiatun; Astrid Novita Putri; Ahmad Rifai
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 1 (2022): January 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.707 KB) | DOI: 10.24114/cess.v7i1.28178

Abstract

Saat ini, kita tengah mengalami pandemi covid 19. Pandemi ini mengakibatkan beberapa kesulitan diberbagai bidang yang salah satunya adalah bidang pendidikan. Hal ini disebabkan adanya peraturan pemerintah yang memberlakukan kegiatan belajar dari rumah. Universitas Semarang menjalankan peraturan pemerintah sampai pandemi dapat teratasi. Hal ini menyebabkan pihak kampus kesulitan ketika akan mengenalkan lingkungan kampus pada mahasiswa baru. Sehingga penerapan teknologi media informasi sangat dibutuhkan. Virtual Tour merupakan  perkembangan teknologi pada bidang fotografi. Dengan menggunakan teknologi virtual tour pengguna solah-olah akan berada didunia nyata. Penelitian ini memanfaatkan teknologi tersebut untuk mengenalkan lingkungan kampus kepada mahasiswa baru. Penelitian ini menghasilkan sebuah aplikasi virtual tour dengan metode panorama 360°. Metode yang digunakan untuk pengembangan aplikasi adalah metode Multimedia Development Life Cicle (MDLC) dari Luther-Sutopo. Berdasarkan hasil pengujian aplikasi menggunakan black- box, penulis menyimpulkan bahwa aplikasi dapat digunakan sesuai dengan fungsi yang ada dikesuluran aplikasi. Dengan adanya penerapan teknologi virtual tour di lingkungan Universitas Semarang, diharapkan dapat dimanfaatkan untuk pengenalan lingkungan kampus pada mahasiswa baru Universitas Semarang tanpa harus berkumpul atau datang langsung ke Universitas Semarang.
PENINGKATAN KEMAMPUAN MICROSOFT OFFICE PADA SISWA KELAS V DI SD NEGERI MUKTIHARJO KIDUL 01 SEMARANG Ahmad Rifa'i; Vensy Vydia; Tirta Jurista Kumkandani
TEMATIK Vol 1, No 1: July 2019
Publisher : TEMATIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v1i1.1465

Abstract

Microsoft Office is a basic capability that everyone must have. This is evidenced by the use of Microsoft Office in the world of education, offices, and everyday life. In the world of education Microsoft office has been introduced starting from elementary level education. The teacher gives school assignments also using Microsoft Office, for example the teacher gives assignments to students to make articles. In completing this school assignment, students will usually ask for help from an internet cafe operator or brother to help do it. Students of Muktiharjo Kidul 01 Elementary School Semarang have not all been able to master the Microsoft Office application.The purpose of this service is to use Microsoft Office to do school assignments related to making articles and others. The output of this service is that participants are able to make their own school assignments using Microsoft Office.
PEMANFAATAN SOCIAL LEARNING NETWORK SYSTEM UNTUK PENINGKATAN PROSES PEMBELAJARAN BAGI GURU SMK STUDI KASUS SMK NEGERI 1 TUNTANG Ahmad Rifa'i; Tirta Yurista Kumkamdani; Bernadus Very Christioko
TEMATIK Vol 2, No 1: July 2020
Publisher : TEMATIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v2i1.2335

Abstract

Social Learning Network System merupakan aplikasi perangkat lunak untuk kegiatan "online", dimana bentuk teknologi informasi yang diterapkan dalam bidang pendidikan adalah sarana media pembelajaran dengan pemanfaatan Edmodo sebagai kelas maya.Metode yang digunakan dalam " Pengembangan Media Pembelajaran Menggunakan Social Learning Network System Bagi Guru SMK " yakni menggunakan metode praktik langsung dengan Notebook ataupun Laptop Guru dilokasi SMK Negeri 1 Tuntang. Sehingga diharapkan nantinya guru - guru di SMK Negeri 1 Tuntang dapat dengan lancar mengimplementasikannya di kelasnya masing - masing maupun di kelas maya yang diciptakannya sendiri.Tujuan dari diselenggarakannya pengabdian ini adalah peningkatan kemampuan Guru di SMK Negeri 1 Tuntang dalam menggunakan Social Learning Network yang dirancang khusus untuk pembelajaran melalui jejaring sosial
Implementasi Payment Gateway Pada Aplikasi Toko Mebel Menggunakan MERN Stack Hakim, Adya Abdu Azizul; Setiaji, Galet Guntoro; Rifa'i, Ahmad
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.946

Abstract

The advancement of technology in the e-commerce sector has driven traditional stores to transition to digital systems in order to enhance transaction efficiency and product management. Mebel Amanah is a furniture store owned by Mr. Hj. Wahyono, located in Plebean, Batang. Previously, Mebel Amanah only accepted in-person payments, which proved to be less effective, particularly for customers who were unable to visit the store directly. Although bank transfer options were available, the store provided only one bank account number, posing challenges for customers using different banks due to additional administrative fees. To address this issue, an online payment system using Midtrans was implemented, offering various payment methods such as ATM/bank transfer, credit/debit cards, e-wallets, and virtual accounts. The Furniture Store Application also includes a product management feature that displays product names, prices, descriptions, and stock information in real-time. This application was developed using the MERN Stack and follows the Waterfall development model, which includes system requirement analysis, system design, implementation, testing, deployment and maintenance phases. The implementation results demonstrate that integrating the Midtrans payment gateway improves payment flexibility and speeds up transaction processes. Furthermore, the product management feature allows customers to easily check product availability without needing to inquire directly. In conclusion, the furniture store application not only facilitates transaction processes but also supports the digital transformation of furniture business operations.
Social Network Analysis dalam Mengukur Keaktifan Promosi Universitas di Media Sosial Twitter Ahmad Rifai; Eka Putri Rachmawati; Dinar Anggit Wicaksono
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3097

Abstract

Banyaknya Universitas baru yang bermunculan membuat semakin ketatnya persaingan dalam menarik minat calon mahasiswa. Social Network Analysis (SNA) salah satu metode untuk menganalisis interaksi pengguna media sosial dalam menghasilkan informasi yang dapat mendukung dalam pengambilan keputusan untuk melakukan promosi. Tujuan dari penelitian ini adalah untuk mengetahui keaktifan Universitas dalam melakukan promosi melalui media sosial twitter. Sosial Media Analysis (SNA) menunjukkan aktor (node) dengan nilai degree centrality (sering dihubungi) adalah aktor dengan nama sbmptnfess pada Universitas Dian Nuswantoro dengan nilai sebesar 21 node. Sedangkan aktor yang memiliki jangkauan yang paling dekat (Closseness centrality) Universitas Semarang, Universitas Sultan Agung, Universitas Dian Nuswantor, dan Universitas PGRI Semarang memiliki nilai yang sama. Sehingga aktor dari ke empat universitas tersebut memiliki kedekatan jangkauan sebesar 1.0. Sedangkan Aktor sebagai penghubung yang baik (Betweenness Centrality) adalah Universitas PGRI Semarang dengan nilai tertinggi sebesar 0.010096 dengan aktor turungences.
Pengembangan Aplikasi Keuangan Berbasis Web Menggunakan Laravel Filament di PT Kargo Transkontinental Retno Utami, Tri; Galet Guntoro Setiaji; Rifa'i, Ahmad
JITU Vol 9 No 2 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i2.2100

Abstract

PT Kargo Transkontinental, as a company engaged in the field of freight forwarding with a high transaction volume, faces significant operational challenges due to its reliance on manual financial recording processes. This dependence leads to delays in the preparation of financial reports, which can take up to two working days, and carries a potential error rate of up to 10% in cost recording. Such conditions pose a major obstacle to conducting accurate and timely profitability analysis. This study aims to design and develop a web-based financial application using the Laravel Filament framework to overcome these inefficiencies. To ensure a systematic development process, the research adopts the waterfall development method, which consists of the stages of requirements analysis, design, implementation, testing, and maintenance. System requirements were gathered through direct interviews with the company's finance division. The study produced a functional web application that successfully integrates modules for employee income, expenses, and loans, further enhanced with an innovative digital receipt feature to bolster accountability. The application features role-based access control for superadmins and staff and offers centralized reporting capabilities. In conclusion, the developed application streamlines the job costing process, elevates data accuracy, and accelerates financial reporting, thereby supporting more effective decision-making.
Implementasi Sistem Informasi Penjualan Mebel Berbasis Web Menggunakan Metode SCRUM Bernandika Reyhan Groovytala; Galet Guntoro Setiaji; Ahmad Rifa'i
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.9947

Abstract

This study focuses on the design and implementation of a web-based furniture sales application at UD. Andhireyma, Boyolali Regency, Central Java Province. The rationale for developing this software stems from the urgent need to optimize efficiency in daily transaction management, product inventory updates, and sales reporting. Involving the active participation of 14 respondents, including business owners, operational staff, and customers, this study adopted the Scrum framework. The methodology’s phases—product backlog, sprint planning, sprint review, and sprint retrospective—were implemented to ensure that system development iterations could dynamically adapt to user expectations. From a technical perspective, the application architecture was built using the PHP programming language and MySQL database management, integrated with HTML, CSS, and JavaScript elements. Comprehensive data collection was conducted through a series of field observations, continuous documentation, and in-depth interviews. Furthermore, to ensure the overall functionality of all features, the Black Box Testing method was strictly applied. Evaluation findings indicate that the implementation of this digital system successfully accelerated and structured the management of commodity data as well as transaction history reports. The risk of manual recording errors was significantly reduced, which directly corresponds to an improvement in the quality and effectiveness of customer service. Based on the successful functional test results, which recorded a success rate of 80%, this e-commerce platform is recommended and deemed highly suitable for immediate implementation in UD. Andhireyma business operations.
Implementasi Sistem Informasi Kluster Penjualan Beras Menggunakan Algoritma K-Means Syahrul Adi Saputra; Galet Guntoro Setiaji; Ahmad Rifa’i
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 6 No. 1 (2026): June 2026
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v6i1.17056

Abstract

Manual processing of rice sales transaction data results in data being archived and cannot be used optimally in decision-making. Therefore, business owners find it difficult to manage stock in sales planning. The K-Means Clustering algorithm was implemented in a web-based information system to create a recommendation feature for the best-selling rice. UD Maju Mapan, located in Demak Regency, was the location for the sales transaction data collection process for the sales period from October 2025 to March 2026. Data was processed using the Min-Max Normalization method and the K-Means algorithm with 3 clusters: premium, standard, and economy. The grouping will automatically appear in the dashboard display of the web-based information system, providing information for decision-making. The results show that the standard cluster has the largest amount of data compared to the premium and economy clusters. A value of 0.5361 is the result of the evaluation process using the Davies Bouldin Index method, which can be interpreted as quite good cluster quality. The rice sales information system is capable of managing and determining sales strategies and stock procurement based on the results of real transaction data analysis.
Analisis Perbandingan Performa Backend REST API Node.js, .NET, dan Laravel Octane Menggunakan Load Testing Djoko Handoko; Galet Guntoro Setiaji; Ahmad Rifa'i
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.9838

Abstract

The increasing demand for web-based applications capable of handling a large number of concurrent users requires the selection of backend technologies that provide optimal performance and resource efficiency. However, previous studies generally employed different configurations and testing environments, making performance comparisons among backend technologies less objective and difficult to generalize. This study aims to analyze and compare the performance of backend REST APIs developed using Node.js, .NET, and Laravel Octane within a standardized testing environment. The research adopted a quantitative experimental approach using load testing with Grafana K6 by simulating workloads of up to 150 virtual users through HTTP GET requests. The evaluated performance metrics included throughput or requests per second (RPS), response time (latency), error rate, as well as CPU and memory utilization. The results showed that Node.js achieved the best performance with a throughput of 493.93 requests per second and an average latency of 77.43 ms, followed by .NET with a throughput of 324.94 requests per second and a latency of 163.06 ms, while Laravel Octane achieved a throughput of 192.29 requests per second with a latency of 358.62 ms. All backend technologies maintained a 0% error rate throughout the testing process. In terms of resource efficiency, Node.js also demonstrated the lowest CPU and memory utilization compared to .NET and Laravel Octane. These findings indicate that differences in execution models significantly influence throughput, response time, and resource utilization efficiency, providing valuable insights for selecting appropriate backend technologies to develop high-performance and highly scalable web applications.
Co-Authors Aditya Rizky Purnama Asmiatun, Siti Astrid Novita Putri, Astrid Badroe Zaman Basworo Ardi Pramono Bernandika Reyhan Groovytala Cholil, Saifur Rohman Dinar Anggit Wicaksono Djoko Handoko Edi Widodo Eka Putri Rachmawati Elfonda Dandi Kurnia Putra Galet Guntoro Setiadji Galet Guntoro Setiaji Gibran Masta Pangestu Baskoro Hafiq Ibnu Wardana Hakim, Adya Abdu Azizul Hetty Catur Ellyawati, Hetty Catur Joko Suntoro Krida Pandu Gunata Kusumaningrum, Yulinda Maugy Al Kautsar Mohammad Burhan Hanif Muhammad Dedi Setiawan Naufal Hanif Athallah Retno Utami, Tri Rio Eko Saputro Septiano Cepeda Da Costa Setiaji, Galet Guntoro Soiful Hadi Syahrul Adi Saputra Tirta Jurista Kumkandani Tirta Yurista Kumkamdani Titis Handayani Vensy Vydia Victor Gayuh Utomo