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All Journal Jurnal Informatika dan Teknik Elektro Terapan SISFOTENIKA Jurnal Teknologi dan Informasi Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal ICT : Information Communication & Technology Infotekmesin INTI Nusa Mandiri Santika : Jurnal Ilmiah Sains dan Teknologi Infotek : Jurnal Informatika dan Teknologi Journal Of Regional Public Administration (JRPA) Simpatik: Jurnal sistem Informasi dan Informatika Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Indonesian Journal of Education (INJOE) Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Informatika: Jurnal Pengembangan IT Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Intelek Insan Cendikia Riau Jurnal Teknik Informatika Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Modem : Jurnal Informatika dan Sains Teknologi JIMT: Jurnal Informatika, Multimedia dan Teknik
Mahardika, Fathoni
Fakultas Teknologi Informasi Universitas Sebelas April
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Analisis Kebutuhan pada Perancangan Antarmuka Pengguna Aplikasi Koperasi Menggunakan Design Thinking Fina Nur'aeni; Fathoni Mahardika; Dani Indra Junaedi; Agun Guntara
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No2.pp250-254

Abstract

The development of information technology encourages cooperatives to adapt to digital systems to improve efficiency, transparency, and accuracy in managing membership and financial data. This study aims to analyze user needs as the basis for designing a user interface for a cooperative membership and financial management application using the Design Thinking method. This method consists of five stages: empathize, define, ideate, prototype, and test. The study focused on needs analysis with the initial stages: empathize, define, and ideate. The empathize stage involved interviews with cooperative administrators and members, followed by identification through the define stage. The analysis results indicated that users require an efficient, secure, and transparent digital system with key features such as member registration, online payments, bill notifications, and automated financial reports. The ideate stage resulted in a design idea that comprehensively describes user needs. This allows for a design that adapts to the analysis results. Thus, the Design Thinking approach has proven effective in understanding user problems and needs and provides a strong foundation for designing a cooperative application interface that is user-friendly and appropriate to the organization's operational context.
Analisis Kebutuhan Pengguna untuk Perancangan Antarmuka Aplikasi Layanan Pengantaran Menggunakan User-Centered Design Shofwatunnisa, Nida; Fathoni Mahardika; Dani Indra Junaedi; Agun Guntara
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No2.pp350-355

Abstract

Delivery services are one type of service that is widely used by the public to facilitate the process of delivering goods and orders. However, the current delivery system is still not running optimally because the use of digital technology has not been maximized. This study aims to analyze user needs in the design of a delivery service application using the User-Centered Design (UCD) method. The UCD approach was chosen because it focuses on users by placing their needs and experiences as the main aspects in the system design process. This study was conducted up to the second stage, which was to understand the context of use and identify user needs. Data collection was carried out by distributing questionnaires to ten respondents consisting of customers, business owners, and couriers. The results of the study show that users need key features such as service ordering, real-time delivery tracking, automatic notifications, and direct communication between customers and couriers. In addition, users also want an application that is easy to use, secure, and has stable performance. The results of this analysis form the basis for the application design in the next stage to produce a system that meets user needs.
Analisis Perbandingan Algoritma Random Forest, SVM, dan Neural Network untuk Klasifikasi Risiko Keamanan E-Learning Nugraha, Rahmat Taufik; Hidayat, Deden; Mahardika, Fathoni
Jurnal Teknologi dan Informasi (JATI) Vol 16 No 1 (2026): Jurnal Teknologi dan Informasi (JATI)
Publisher : Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jati.v16i1.17191

Abstract

Akselerasi adopsi platform e-learning akibat pandemi COVID-19 telah memperluas permukaan serangan siber di sektor pendidikan, menuntut solusi deteksi ancaman yang lebih canggih. Machine learning (ML) menawarkan pendekatan proaktif untuk mengatasi tantangan ini, namun belum terdapat konsensus mengenai algoritma yang paling optimal. Studi ini bertujuan melakukan analisis komparatif empiris terhadap tiga algoritma ML terkemuka Random Forest (RF), Support Vector Machine (SVM), dan Neural Network (NN) dalam mengklasifikasikan risiko keamanan pada lingkungan e-learning. Menggunakan dataset sintetik Classroom Data Security Threats, penelitian ini menerapkan metodologi kuantitatif yang mencakup pra-pemrosesan data dan evaluasi model menggunakan metrik accuracy, F1-score, dan ROC-AUC. Hasil eksperimen menunjukkan kinerja yang sangat terbatas dari ketiga model. NN mencapai akurasi tertinggi, namun hanya sebesar 33.5%, sedikit di atas SVM (32.5%) dan RF (29.5%). Secara signifikan, skor ROC-AUC untuk semua model berada di sekitar 0.5, yang mengindikasikan kemampuan prediktifnya tidak lebih baik dari tebakan acak. Kegagalan serempak ini menyiratkan bahwa tantangan utama bukan terletak pada pemilihan algoritma, melainkan pada kualitas prediktif dataset dan ketiadaan optimisasi hyperparameter. Temuan ini menggarisbawahi pentingnya kualitas data dan rigor metodologis sebagai prasyarat fundamental untuk pengembangan sistem keamanan siber berbasis ML yang efektif.
Co-Authors Abdah Syakiroh Gustian Agun Guntara Ajar Basyar Tsani Aprilyawan, Muhamad Rian Assidiq, Muhamad Luthfi Chozin Choirurroziqien CYNTHIA PETRA HAUMAHU Dani Indra Junaedi Dian Budiana Dian Hermawan Dimitri Octaviana Fatimah, Siti Ainun Fidi Supriadi Fina Nur'aeni Guntara, Agun Hendrawan, Fauzi Bayu Hidayat, Deden Huslan, Anisa Pebriyani Indriyani Surachman, Revaliana Irfan Fadil Lusi Sugiarti Lestari Lusi Tsulutsiah Nur F Martanto . Maulana, Rifki Muhamad Deni Ramdani Muhammad Agreindra Helmiawan Muhammad Irsan Muhammad Yusuf Zulfikar Nova Nurhidayat Nugraha, Rahmat Taufik Nur F, Lusi Tsulutsiah Nur'aeni, Fina Octaviana, Dimitri Purnama, Yulian Puspanagara, Amanda Listiana Rangga Sanjaya, Rangga Rearizth Muhammad Daffaa Rizki, Rifky Septiana Saeppani, Asep Santika, Deris Shofwatunnisa, Nida Siti Ainun Fatimah Ummiyati Ummiyati Vini Octaviani, Eneng Yopi Hidayatul Akbar