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All Journal Jurnal Transformatika Jurnal Informatika Upgris Jurnal Sains dan Informatika Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Ilmiah Sinus Building of Informatics, Technology and Science Joined Journal (Journal of Informatics Education Journal of Computer System and Informatics (JoSYC) JITU : Journal Informatic Technology And Communication TIN: TERAPAN INFORMATIKA NUSANTARA Information System Journal (INFOS) 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
Setiaji, Galet Guntoro
Universitas Semarang
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 Education 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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Analisis Perbandingan Algoritma K-Means dan K-Medoids untuk Pengelompokan Sentimen Ulasan Aplikasi E-Commerce Pecaro, R Immanuel Giovanni Italiano; Setiaji, Galet Guntoro; Rifa'i, Ahmad
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8145

Abstract

The growing digital technology has driven the rapid growth of E-Commerce applications, which is characterized by the number of similar applications available on the Google Play Store. This phenomenon has led to an increase in people's need for convenience in online shopping, as well as showing increasingly fierce competition in the digital marketplace. Reviews on E-Commerce applications in the Google Play Store often serve as a basis for users to decide whether to download an application. These reviews provide valuable insights, allowing users to assess whether the application is worth downloading. Shopee, one of the largest E-Commerce applications in Indonesia, currently has more than 15 million ratings and reviews on the Google Play Store. This study aims to compare the performance of the K-Means and K-Medoids algorithms in clustering numerical data from application reviews. Clustering was performed using the Clustering technique based on two numerical variables, namely score and thumbsupcount, to provide an initial overview of user opinion trends regarding the application. The dataset, consisting of 500 reviews, was collected from the Google Play Store in December 2024. The results Davies-Bouldin Index of the study indicate that K-Means outperforms K-Medoids, with a comparison score of 0.457 to 0.803.
Meningkatkan Kinerja Decision Tree C4.5 dengan Seleksi Fitur Korelasi Pearson pada Deteksi Penyakit Diabetes Mohammad Burhan Hanif; Galet Guntoro Setiaji
The Indonesian Journal of Computer Science Vol. 11 No. 2 (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.v11i2.3087

Abstract

Diabetes sebuah penyakit yang menjadi momok seluruh dunia. Kerugianya tidak hanya pada penderita sendiri tetapi juga merambah ke banyak sektor. Baik di sektor pelayanan kesehatan dan sektor financial yang sangat menjadi beban tinggi yang perlu ditangani dengan baik dengan jalan pendeteksian penyakit diabetes sejak dini. Salah satu pendeteksian dini penyakit diabetes dapat memanfaatkan algoritma machine learning pada bidang data mining. Algoritma C4.5 merupakan algoritma machine learning yang memiliki tingkat akurasi dan kecepatan perhitungan tinggi dalam klasifikasi. Namun demikian algoritma C4.5 terganggu dengan data tak seimbang dan fitur data berdimensi tinggi. Pemanfaatan seleksi fitur menjadi salah satu penyelesain masalah data berdimensi tinggi. Algoritma Korelasi Pearson memiliki kemampuan dalam mengukur informasi antar fitur dan diterapkan dalam penelitian ini. Penggunaan Korelasi Pearson dianggap berhasil dalam meningkatkan kinerja algoritma C4.5 dalam deteksi awal penyakit diabetes. Keberhasilan ini terlihat pada hasil akurasi sebesar 95.31% tanpa korelasi pearson menjadi 96.16% dengan pemanfaatan korelasi pearson.
PENGENALAN TEKNOLOGI VIRTUAL TOUR REALITY PADA LINGKUNGAN SMA KESATRIAN 1 SEMARANG Guntoro Setiaji, Galet; Prathivi, Rastri; Asmiatun, Siti
Jurnal DIMASTIK Vol. 2 No. 2 (2024): Juli
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v2i2.8545

Abstract

Dimana sebuah informasi pada media elektronik yang sekarang sudah mengunakan teknologi informasi menjadi penting disaat kita mencari sebuah informasi, terutama dalam mencari sebuah sekolah, dimana orang tua atau siswa secara tidak langsung ingin mengenal lingkungan sekolahnya. Dan disaat pandemi covid 19 juga menjadikan kita tidak leluasa dalam menjalani aktifitas sehari-hari, sehingga kita tidak bisa melihat secara langsung ke sekolah. Dan kali ini pengabdian kepada Masyarakat dosen USM dengan Mitra SMK Kesatrian 1 Semarang, akan mengakat tema Pengenalan Virtual Reality. Dimana akan mengenalkan tools Photoshop dan 3DVista untuk membuat Virtual tour reality di SMK Kesatrian 1 Semarang.Diharapkan dengan penerapan Teknologi Virtual Reality ini, SMK Kesatrian 1 Semarang, bisa menjadikan media promosi bagi calon siswa dengan mengenalkan lingkungan sekolah. Dimana calon siswa dan orang tua murid bisa melihat secara langsung lingkungan SMK Kesatrian 1 Semarang secara Virtual Reality tanpa harus datang terlebih dahulu. Kata Kunci    : Virual Tour, 3D Vista, Photoshop,  SMK Kesatrian 1 Semarang
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.
Analisa Perbandingan Quality of Service Protokol VPN antara Protokol SSTP Dan Open VPN Berbasis Router Mikrotik Surono; Guntoro Setiaji, Galet
The Indonesian Journal of Computer Science Vol. 11 No. 1 (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.v11i1.3034

Abstract

The internet itself is a public network that can connect anyone into a very large network, and of course there are threats of data theft in it, VPN is a communication technology that allows an employee in the office to connect to a public network and use it to join the local network. . The advantage of a VPN is that the data sent via a VPN is encrypted so it is quite safe and the secret is maintained even though it is through the internet network, a comparison analysis of VPN performance between the SSTP (Secure Socket Tunneling Protocol) protocol and the Open VPN protocol will be carried out to determine the Quality Of Service (Qos) performance of both For this protocol, a study is needed to determine the use of the method so as to produce an optimal QOS (Quality of Service)
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.
Rancang Bangun Sistem Informasi Manajemen Service Kendaraan Berbasis Web Bengkel Menggunakan Metode Prototype Muhammad Dedi Setiawan; 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.v7i1.10059

Abstract

Vehicle service administration at Syasa Workshop in Semarang is currently suboptimal because the recording of customer profiles, vehicle history, transactions, and spare parts inventory still relies on manual systems. This leads to inefficiencies in data processing, a high risk of document loss, and delays in the preparation of operational reports. This study aims to design and build a web-based vehicle service management information system to accelerate the efficiency and accuracy of workshop data management. The software development adopts the Prototype method, which was chosen because it allows for rapid and adaptive development iterations based on direct feedback from users. The stages of this method include requirements analysis, initial prototype design, periodic user evaluation, iterative improvements, and final implementation. Data collection involved 12 respondents—comprising owners, employees, and customers, through observation, interviews, and document review. System testing using Black Box Testing confirmed that all core functionalities operate according to specifications without technical issues. Meanwhile, the User Acceptance Test (UAT) yielded an acceptability score of 80%, confirming that the system is ready and suitable for implementation. This integrated system successfully digitized the management of customer data, transactions, inventory, booking services, and revenue reporting. Furthermore, the implementation Role-Based Access Control (RPC) not only secures data but also facilitates customers to make reservations independently, while employees can focus on technical management. The main contribution of this research is the provision of a digitalization model for MSME-scale workshop administration that integrates operational management efficiency with ease of customer reservations, thus serving as a practical reference for similar businesses. As a result, workshop administration processes are transformed into faster, more structured, and more efficient.
Rancang Bangun Sistem Informasi Pemesanan Air Galon Berbasis Web Menggunakan Metode RAD Muhammad Rizal; Galet Guntoro Setiaji; Badroe Zaman
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.v7i1.10069

Abstract

The utilization of digital technology has become an essential aspect of improving business management effectiveness, including in the water refill depot sector. At Air Tirta Kencana Depot in Demak Regency, the ordering process and transaction recording are still carried out manually, resulting in slower data processing, an increased risk of recording errors, and customer service that has not been performed optimally. This study aimed to develop a website-based water gallon ordering system by applying the Rapid Application Development (RAD) approach. Research data were collected through observation, interviews, and literature studies. System testing was conducted involving 13 respondents to evaluate system functionality and usability using Black Box Testing and User Acceptance Testing. The developed system was equipped with integrated features for customer data management, transaction ordering, and sales information within a single platform. The integration of these features facilitated ordering, recording, and transaction monitoring processes in a more organized manner according to the operational needs of the depot. In addition, the system enabled users to access order information more quickly and systematically. Based on the testing results, the web-based information system was able to support transaction recording processes to become faster, more organized, and easier to manage. Furthermore, the system achieved a testing success rate of 80% and assisted in monitoring orders and transactions more accurately. The contribution of this research lies in the development of an integrated ordering and transaction management system within a single platform, enabling depot operational processes to be monitored in a more structured manner. Based on these findings, the system also supports more effective business decision-making and helps improve the overall operational quality of the water depot.
Co-Authors Aditya Rizky Purnama Ahmad Rifa'i Ahmad Rifa'i Ahmad Rifa'i Ahmad Rifai Ahmad Rifa’i Ahmad Rifa’i April Firman Daru Astrid Novita Putri, Astrid Badroe Zaman Basworo Ardi Pramono Bernandika Reyhan Groovytala Djoko Handoko Gibran Masta Pangestu Baskoro Gunata, Krida Pandu Hafiq Ibnu Wardana Hakim, Adya Abdu Azizul Handini Arga Damar Rani Hanif, Mohammad Burhan Joko Suntoro Khoirudin Khoirudin, Khoirudin Mohammad Burhan Hanif Mohammad Burhan Hanif Muhammad Dedi Setiawan Muhammad Rizal Nurtriana Hidayati Pecaro, R Immanuel Giovanni Italiano Rastri Prathivi Retno Utami, Tri Rifa i, Ahmad Rifa'i, Ahmad Rio Eko Saputro Saifur Rohman Cholil Saputra, Satria Nugraha Setiarso, Galih Siti Asmiatun, Siti Surono Surono Syahrul Adi Saputra Tirta Jurista Kumkamdhani Tirta Kumkamdani Veithzal Rivai Zainal Vensy Vydia Whisnumurti Adhiwibowo Wicaksana, Dinar Anggit Widiyanto, Max Teja Ajie Cipta