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All Journal Teika Jurnal Sisfokom (Sistem Informasi dan Komputer) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Infotekmesin INTI Nusa Mandiri JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmu Manajemen Terapan (JIMT) Mosharafa: Jurnal Pendidikan Matematika Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika JIMT: Jurnal Informatika, Multimedia dan Teknik
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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 Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Pembatasan Jarak Presensi Dalam Sistem Presensi Daring Menggunakan Formula Haversine Ilham, Baga Pardana; Supriadi, Fidi
TeIKa Vol 14 No 2 (2024): TeIKa: Oktober 2024
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v14i2.3723

Abstract

The transformation of the manual attendance system into an online system has been carried out by various parties, including government agencies, offices, and schools. For example, a school that has implemented an electronic-based learning management system can use the attendance form feature as a way to record students' attendance in the learning process. However, this feature is considered to have shortcomings when applied during face-to-face learning in class because absent students can still fill in from wherever they are as long as they can access the form. The existence of a radius limit is necessary to limit only students who are within the range of the class area to be able to fill out the attendance form. This research aims to design an online presence system by applying the haversine formula using the Extreme Programming method. This formula was chosen because it is suitable for calculating the distance between two coordinate points on the earth's surface assuming the earth is round. Extreme Programming is a method for building fast software systems that consists of planning, design, coding, and testing phases. Through 30 experiments, a percentage of 96.6% was obtained, which shows that the haversine formula can be applied to limit the distance in a presence system.
indonesia SYSTEMATIC LITERATURE REVIEW TENTANG PENERAPAN TEKNOLOGI BLOCKCHAIN PADA BIDANG KEUANGAN Ramadan, Zeinan; Supriadi, Fidi; Indra Junaedi, Dani
TeIKa Vol 15 No 1 (2025): TEIKA - April 2025
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

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Abstract

Distributed ledger technology, better known as blockchain, has emerged as a promising breakthrough in supporting financial inclusion, especially for populations that are not covered by conventional financial frameworks. This paper aims to investigate the contribution of blockchain in boosting financial inclusion compared to the established financial system through a systematic literature review approach. This paper summarizes literature from leading academic databases to identify key findings on the benefits, constraints, and prospects of blockchain development in the financial sector. The analysis shows that blockchain can expand the accessibility of financial services, reduce transaction costs, and provide greater transparency and protection. However, several challenges arise such as the lack of regulatory framework, knowledge disparity, and issues of scalability and interoperability. The conclusion of this review indicates that blockchain has significant potential to boost financial inclusion, but collaborative efforts from governments, corporations, and technology innovators are needed to overcome these obstacles. This paper provides an in-depth understanding of the opportunities and challenges of blockchain implementation and recommendations for further research.
Perbandingan Model Regresi Nonlinear Polynomial, Ridge, dan Lasso untuk Prediksi Biaya Asuransi Kesehatan Berdasarkan Kerangka CRISP-DM Siti Rachmania Putri; Supriadi, Fidi; Setiadi, David
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/3kxrvj44

Abstract

The escalating cost of healthcare necessitates accurate prediction methods for determining medical insurance premiums. This research compares the performance of three nonlinear regression models, namely Polynomial, Ridge, and Lasso, in estimating individual health insurance costs. The research process follows the CRISP-DM framework, which includes the stages of business understanding, data processing, modeling, and evaluation. The dataset used is the Medical Cost Personal Dataset from Kaggle, containing 1,338 individual data points with seven demographic and behavioral features. Six outliers in the BMI and charges features were removed using the IQR method, while categorical features were encoded with One Hot Encoding. Numerical features were transformed using second-degree Polynomial Features to capture nonlinear relationships, and then the data was split into 80% training and 20% testing. Evaluation used the Mean Squared Error (MSE) and R-squared (R²) metrics. The results indicate Ridge Regression yielded the best performance with an R² value of 0.857 and an MSE of 2.35×10⁷. This model is more stable and effective in handling multicollinearity compared to the other two models. Nevertheless, the average prediction error of approximately USD 4,800 suggests the need for increased accuracy through parameter tuning or data augmentation before being implemented in a real business environment.
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.
Co-Authors Aghitsni, Rofiyandi Agun Guntara Agustino, Barkat Akbar, Ihsanuddin Asep Saeppani Dani Indra Junaedi David Setiadi Fajar Risnandar, Agung Faridz Muhamad Permana Fauzan Rahmat, Fariq Febiani, Amelia Gantira, Anggia Ginanjar, Ramdan Guntara, Agun Hardian, Reza Ihsan Nugraha, Angga Ilham, Baga Pardana Indra Junaedi, H. Dani Indriyani Surachman, Revaliana Irfan Fadil Kosmawa, Ucu Mahardika, Fathoni Margaretha Madha Melissa Maulana, Rifki Muhammad Agreindra Helmiawan Mulyana, Aa Agus Mushalifah, Siti Aisyah Nurul Qolbu, Shakila Ramadan, Zeinan Ramdani, Hadian Setya Ratnasari, Shofia Annisa Reza Hardian Rubiah, Siti Siti Rachmania Putri Sri Fuji Muliati Sugiana, Renal Wachyar, Tuti Yuliawati Wiguna, Surya Yusfita Yusuf