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Setiaji, Galet Guntoro
Universitas Semarang
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Implementasi Metode Fuzzy K-Means untuk Cluster Judul Skripsi Mahasiswa Rifa'i, Ahmad; Setiadji, Galet Guntoro
Jurnal Pengembangan Rekayasa dan Teknologi Vol. 4 No. 2 (2020): November (2020)
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jprt.v16i2.2637

Abstract

Clusters are a way of classifying data which can later be used as information and processed using data mining methods with certain algorithms. From here the author wants to try to use data in the form of thesis titles or final assignments from students, which later can be grouped from these results. So that the existing data can be processed using a data mining method, namely Fuzzy K-Means (FKM).The data used in this study uses thesis data of students majoring in information technology. As a comparison, the data is also processed using K-Means, from the K-Means calculation, the average cluster is 1.014 and the DBI validity is 0.725. Meanwhile, for the calculation of Fuzzy K-Means, the cluster average is 0.069 and the DBI validity is 0.304
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.
IMPLEMENTASI METODE SCRUM PADA APLIKASI WEB MANAJEMEN PEMBAYARAN KOS BERBASIS LARAVEL DAN FILAMENT Saputro, Rio Eko; Setiaji, Galet Guntoro; Rifa'i, Ahmad
Information System Journal Vol. 8 No. 02 (2025): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2025v8i02.2283

Abstract

Penelitian ini mengajukan solusi atas kendala operasional dalam manajemen kos konvensional melalui perancangan sebuah aplikasi web terintegrasi yang memusatkan fungsi pembayaran dan penanganan keluhan. Proses pengembangan mengadopsi metodologi Scrum dengan tumpukan teknologi modern: framework Laravel sebagai fondasi, toolkit Filament untuk akselerasi pembangunan antarmuka, dan library Filament Shield untuk implementasi kontrol akses berbasis peran. Hasil akhir penelitian adalah platform fungsional dengan arsitektur dua peran: peran Admin difasilitasi dengan dasbor analitik dan kontrol manajerial penuh, sementara peran User Kos memperoleh antarmuka yang terfokus untuk menyederhanakan interaksi pembayaran dan keluhan melalui widget informatif. Secara konklusif, sistem yang dikembangkan ini mampu meningkatkan transparansi manajerial dan kenyamanan penghuni, sekaligus memvalidasi kombinasi metodologi dan teknologi yang dipilih sebagai model implementasi yang praktis untuk mendukung digitalisasi sektor properti skala kecil.
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.
Co-Authors Ahmad Rifa'i Ahmad Rifai Ahmad Rifa’i Ahmad Rifa’i April Firman Daru Astrid Novita Putri, Astrid Basworo Ardi Pramono Bernandika Reyhan Groovytala Gunata, Krida Pandu Hafiq Ibnu Wardana Hakim, Adya Abdu Azizul Handini Arga Damar Rani Hanif, Mohammad Burhan Joko Suntoro Khoirudin Khoirudin, Khoirudin Maugy Al Kautsar Mohammad Burhan Hanif Mohammad Burhan Hanif Nurtriana Hidayati Pecaro, R Immanuel Giovanni Italiano Rastri Prathivi Retno Utami, Tri Rifa i, Ahmad Rifa'i, Ahmad Saifur Rohman Cholil Saputra, Satria Nugraha Saputro, Rio Eko 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