Article Per Year (5 Year)
p-Index From 2021 - 2026
4.109
P-Index
This Author published in this journals
All Journal Teika Jurnal Informatika dan Teknik Elektro Terapan Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmu Manajemen Terapan (JIMT) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal of Information System Exploration and Research Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Intelek Insan Cendikia Riau Jurnal Teknik Informatika Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Repeater: Publikasi Teknik Informatika dan Jaringan JIMT: Jurnal Informatika, Multimedia dan Teknik
Dani Indra Junaedi
STMIK Sumedang
Religion Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
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.
Explainable Artificial Intelligence-Based Model for Student Academic Performance Prediction Hidayatulloh, Wildan; Mahardika, Fathoni; Junaedi, Dani Indra
Journal of Information System Exploration and Research Vol. 4 No. 1 (2026): January 2026
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v4i1.624

Abstract

This study focuses on predicting student academic performance while emphasizing model interpretability through Explainable Artificial Intelligence (XAI). The main objective is to identify potential academic risks using machine learning models and provide transparent explanations for their decisions. Historical student academic data were used to train and evaluate two classification models: Random Forest and XGBoost. The results show that both models exhibit strong predictive performance. Random Forest achieved an accuracy of 90.77% and a precision of 0.7500 for the risk class, while XGBoost attained a higher recall of 0.7000 with an accuracy of 89.23% and a precision of 0.6364. Both models achieved an identical F1-score of 0.6667 for the risk class. The application of XAI methods, namely SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations), revealed the main features influencing the predictions. Globally, G2 (previous period’s final grade), failures (number of failed courses), and absences were identified as the most critical factors. Local interpretations from SHAP and LIME also clarified individual predictions, both correct and misclassified. The study contributes to developing an accurate and transparent decision-support system to enable more personalized, effective, and data-driven academic interventions.
Rancang Bangun RESTful API Aplikasi Recycly dengan Metode Extreme Programming Sugiana, Renal; Supriadi, Fidi; Indra Junaedi, Dani
TeIKa Vol 16 No 1 (2026): Jurnal TeIKa
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/gz5mnp16

Abstract

Permasalahan sampah plastik di Indonesia mendorong pengembangan solusi pengelolaan berbasis teknologi. Penelitian ini berfokus pada perancangan dan implementasi backend RESTful API untuk aplikasi Recycly, sebuah sistem insentif daur ulang yang terintegrasi dengan Reverse Vending Machine (RVM). Tujuan utama penelitian ini adalah menghasilkan backend yang andal untuk manajemen data pengguna, poin, dan hadiah, serta merancang mekanisme integrasi efisien dengan RVM melalui pemindaian QR Code. Extreme Programming (XP) dipilih sebagai metode pengembangan karena sifatnya yang adaptif dan iteratif, memungkinkan akomodasi perubahan kebutuhan yang dinamis selama proses integrasi dengan prototipe RVM. Tahapan XP meliputi perencanaan kebutuhan fungsional, perancangan sistem menggunakan Use-Case Diagram dan Entity Relationship Diagram (ERD), implementasi kode dengan framework Hapi.js dan arsitektur Model-View-Controller (MVC), serta pengujian fungsionalitas endpoint API menggunakan Postman. Hasil pengujian black-box menunjukkan bahwa backend RESTful API Recycly berfungsi sesuai spesifikasi. Seluruh endpoint untuk registrasi, login, manajemen profil, manajemen hadiah, penukaran hadiah, pemindaian QR Code, dan riwayat transaksi berhasil diimplementasikan. Sistem ini juga mampu menangani skenario kesalahan dengan respons informatif, menerapkan keamanan melalui JSON Web Token (JWT), dan memastikan transaksi basis data yang atomik dengan Prisma. Kesimpulan dari penelitian ini adalah keberhasilan perancangan dan implementasi backend RESTful API yang komprehensif untuk aplikasi Recycly, mendukung pengelolaan data dan mekanisme autentikasi yang aman. Integrasi dengan RVM Recycly Collector melalui pemindaian QR Code juga berhasil dicapai, memastikan perolehan insentif secara real-time dan tercatat akurat. Kontribusi penelitian ini adalah penyediaan fondasi backend yang andal dan terintegrasi untuk ekosistem aplikasi daur ulang berbasis insentif digital.
Systematic Literature Review Sistem Pemilah Sampah Otomatis Berbasis Sensor Proximity dengan Notifikasi Kapasitas Penuh Anjelina Mentari Rustandi; Fathoni Mahardika; Dani Indra Junaedi
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 2 (2026): April : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v4i2.847

Abstract

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.
Co-Authors Abdul Rahman, Gilang Aghitsni, Rofiyandi Agun Guntara Agustino, Barkat Akbar, Ihsanuddin Anjelina Mentari Rustandi Asep Saeppani Fajar Risnandar, Agung Faridz Muhamad Permana Fauzan Rahmat, Fariq Febiani, Amelia Fidi Supriadi Fina Nur'aeni Ginanjar, Ramdan Hidayatulloh, Wildan Huslan, Anisa Pebriyani Ihsan Nugraha, Angga Indradewa, Rhian Lusi Sugiarti Lestari Mahardika, Fathoni Maulana, Rifki Muhammad Irsan Muhammad Yusuf Zulfikar Mushalifah, Siti Aisyah Nur'aeni, Fina Nurul Qolbu, Shakila Puspanagara, Amanda Listiana Ramadan, Zeinan Rizki, Rifky Septiana Rubiah, Siti Santika, Deris Shofwatunnisa, Nida Sri Fuji Muliati Sugiana, Renal Supriadi , Fidi Wiguna, Surya