cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fatsyahrina Fitriastuti
Contact Email
informasi.interaktif@janabadra.ac.id
Phone
+628121551375
Journal Mail Official
informasi.interaktif@janabadra.ac.id
Editorial Address
Program Studi Informatika, Fakultas Teknik, Universitas Janabadra. Jalan Tentara Rakyat Mataram No. 55-57, Yogyakarta 55231
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Informasi interaktif : jurnal informatika dan teknologi informasi
Published by Universitas Janabadra
ISSN : 25275232     EISSN : 25275240     DOI : 10.37159/jii
Core Subject : Science,
Computer Science & IT
Jurnal Informasi Interaktif membahas topik-topik yang secara umum berkaitan dengan isu-isu Hukum di Indonesia dan di seluruh dunia. Artikel yang dikirimkan mungkin mencakup isu-isu topikal di Kecerdasan Buatan Jaringan Saraf Tiruan Algoritma Genetik Grafika Komputer Sistem Pakar Wireless and Mobile Technology Remote Sensing Image and Signal Processing Multimedia Teknologi Web Data Center Distributed System Middleware Arsitektur Komputer Sistem Operasi Rekayasa Perangkat Lunak Sistem Informasi Sistem Informasi Geografi Optimasi dan Teknologi Basis Data Interaksi Manusia dan Komputer Data Mining Kriptografi Keamanan Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 79 Documents
 4   5   6   7   8 
ANALISIS RISIKO SISTEM MANAJEMEN RANTAI PASOK MAMMA ROTI BERDASARKAN ISO 31000 Pankrasius Aryo Wicaksono; Putra Arianto; Mirza Rabbani Kobandaha; Luthfi Jatmiko Nugroho; Ayasha Zahwa; Erly Krisnanik
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Food & Beverages (F&B) industry in Indonesia faces complex challenges in managing supply chain operational risks, particularly for rapidly growing franchise companies like Mamma Roti established since 2021. This research aims to identify and analyze operational risks using the ISO 31000:2018 framework as a structured risk management standard. Descriptive qualitative method was applied through direct observation and semi-structured interviews, with analysis following stages of context establishment, identification, likelihood-impact matrix analysis, acceptance criteria evaluation, and risk treatment procedures. Research results identified twelve operational risks (R1-R12) with most at moderate levels, while two risks (R5 and R11) obtained critical scores of 9 related to continuous improvement mechanisms. Recommendations include implementing measurable action trackers, Service Level Agreements (SLA), concise Standard Operating Procedures (SOP), and Business Continuity Plan (BCP) and Disaster Recovery Plan (DRP) with Recovery Time Objective (RTO) of 2-24 hours. Mitigation strategies are expected to reduce risks within 1-3 months and enhance Mamma Roti's operational resilience.
PREDIKSI PREDIKSI TIMBULAN SAMPAH RUMAH TANGGA DI KOTA BEKASI MENGGUNAKAN RANDOM FOREST DALAM PERENCANAAN PRODUKSI KOMPOS Widiyasih, Amelia; Salsabila, Ghina; Mumtazah, Aida; Chrisnawati, Giatika
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid population growth and urban activity have caused a continuous increase in household waste generation. Bekasi City is one of the major contributors, with a significant amount of organic household waste requiring a sustainable management strategy. This research proposes a Machine Learning approach based on the Random Forest algorithm to predict household waste generation for compost production planning. The dataset includes demographic variables and annual waste records from 2022 to 2024. The method consists of preprocessing, data splitting, and model evaluation stages. Results show that the model achieved an MAE of 1111.70, RMSE of 1549.57, and an R² value of 0.95, indicating strong predictive capability. The model was then used to calculate household waste prediction for 2025 to 2030, showing an increasing trend. Additionally, the projection enabled the estimation of compost production potential based on an assumption that 70% of total waste is organic and 50% of it can be processed into compost. This research confirms that Machine Learning and Artificial Intelligence approaches can support local waste management policy and long-term sustainability planning.
ANALISIS PENGGUNAAN APLIKASI LINKEDIN DALAM MEMBANGUN PERSONAL BRANDING PADA MAHASISWA UNIVERSITAS NEGERI GORONTALO MENGGUNAKAN MODEL UTAUT Lantu, Zulvikry Andre; Kusuma, Ma'rifatul Sasmitha; Ts. Bullah, Ilham; Amali, Lanto Ningrayati
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Personal branding is an important element for students in shaping their professional image and preparing themselves for the world of work. As a professional social networking platform, LinkedIn offers various features that can support the formation of a professional identity, but its utilization by students is still not optimal. This study aims to examine the strength of the relationship between variables in the UTAUT model and the behavior of using LinkedIn as a means of personal branding among students at Gorontalo State University. Using a quantitative descriptive approach, data was collected through a questionnaire (gfrom) distributed to 80 students who actively use LinkedIn. The analysis was conducted using the PLS-SEM tool with the SmartPLS version 4 application. The results show that Social Influence and Performance Expectancy have an influence on Behavioral Intention with a t-statistic > 1.990 and a p-value < 0.05, while Effort Expectancy does not show a significant influence because the results do not meet the criteria. In addition, Facilitating Condition and Behavioral Intention also had an effect on Use Behavior. UTAUT in this study was able to explain 59.3% of the variance in Behavioral Intention and 58.4% of the variance in Use Behavior. These findings indicate that perceived benefits and environmental support have a stronger influence than ease of use in encouraging students to use LinkedIn.
SISTEM PENDUKUNG KEPUTUSAN UNTUK SELEKSI PENERIMAAN PEGAWAI BARU MENGGUNAKAN METODE KNN DAN WEIGHTED PRODUCT Febriani, Siska
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

  Searching for prospective employees is quite an important thing in the company because every job done by employees will affect the stability of the company. In the recruitment of employees, the quality of prospective applicants is already convincing, but the salary he submits is not in accordance with the ability of the company, or the prospective applicants do not match the criteria that the company is looking for. This mismatch will certainly slow down the company to find the best staff. The results of this study are to provide recommendations for the best employees who understand some of the criteria set by the system using the k-nearest neighbor (KNN) method and weighted product (WP). The parameters used to obtain wisdom are using GPA values, academic values, science and technology values and interview scores. The data that will appear at the conclusion is the ranking of the participants, the type of classification and recommendations chosen by the company. With these data, the company can determine the next policy that can be taken. The results of the accuracy obtained are 87% with a value of k = 3.
IMPLEMENTASI HOUGH CIRCLE TRANSFORM DAN ORB UNTUK DETEKSI KLASIFIKASI NOMINAL KOIN RUPIAH Maulana Zulfan Azka; Hanin Putri Sholiha; Syahna Aulia Putri; Muhammad Mahardicka Alfattah Zelda; Endang Purnama Giri; Gema Parasti Mindara
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Manual coin counting and classification in high-volume transactions are often inefficient and prone to human error. In computer vision implementations, the primary challenges in coin detection are lighting variations and changes in image scale, rendering conventional area-based methods inaccurate. This study aims to develop a coin detection system robust to changes in camera distance and lighting conditions. The proposed method combines the Hough Circle Transform algorithm for detecting geometric coin locations and ORB (Oriented FAST and Rotated BRIEF) for classifying denominations based on surface texture feature matching. The system is equipped with an adaptive learning mechanism (Human-in-the-Loop), allowing users to interactively train the system upon encountering new coin variants or unrecognized coins. Test results indicate that the combination of CLAHE (Contrast-Limited Adaptive Histogram Equalization) pre-processing and Hough detection successfully isolates overlapping circular objects, while the feature matching method effectively distinguishes coin denominations with similar diameters but distinct textures. It is concluded that integrating texture analysis with user manual correction features significantly enhances system accuracy and flexibility compared to static contour-based detection methods.
DESAIN SISTEM E-LEARNING KAMPUS BERBASIS WEB DENGAN PENERAPAN HASHING, ENKRIPSI SIMETRIS, DAN TOKEN KEAMANAN Hendra Finur; Muhammad Furqan Hakim; Riska Riska; Sahril Saputra
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Information technology adoption in online learning requires higher education institutions to provide an e-learning system that is not only functional but also secure in managing academic and user data. E-learning platforms commonly store sensitive information such as user identities, academic grades, and learning activities, making security a critical factor. However, many e-learning systems are developed without adequate security design from the early stages. This study aims to design a campus e-learning web application using pure PHP by applying cryptography-based data security mechanisms. The research method employs a Research and Development (R&D) approach with a system design orientation. The cryptographic aspects incorporated in the proposed design include cryptographic hashing for securing user authentication, symmetric encryption for protecting sensitive data, and security token mechanisms to ensure the integrity of sessions and system requests. The system design is modeled using Unified Modeling Language (UML) to represent functional requirements and an Entity Relationship Diagram (ERD) to design the database structure. The results of this study are an e-learning system design that includes use case diagrams, a database design, and a cryptography-based security mechanism design. This design is expected to serve as a reference for developing a secure, well-structured campus e-learning application aligned with academic needs.
INTEGRASI LLM DAN RAG DALAM PLATFORM CHATBOT TERPADU UNTUK LAYANAN INFORMASI AKADEMIK Muhammad Furqan Hakim; Hendra Finur; Riska Riska; Sahril Saputra
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The utilization of Artificial Intelligence in academic information services is often hindered by the fragmentation of various Large Language Models (LLMs) and the models' lack of specific institutional knowledge. This study aims to design and build a unified web-based chatbot platform that integrates various AI service providers, including Google Gemini, Qwen, and models via OpenRouter (Llama, DeepSeek, Microsoft Phi), into a single interface. The application was developed using PHP with a secure architecture, utilizing HTML Purifier for output security and a responsive interface design based on Tailwind CSS. The key feature of this system is the implementation of the Retrieval-Augmented Generation (RAG) method, which enables the chatbot to provide accurate answers regarding specific information of Universitas Graha Karya (UGK) by referring to a local knowledge base, thereby minimizing AI hallucinations. Furthermore, the system is enhanced with Text-to-Speech (TTS), image generation, and video generation capabilities via the DashScope API. Test results demonstrate that this platform effectively improves the efficiency of academic information access by offering the flexibility to select AI models according to user needs and providing contextual, academically valid responses.
RANCANG BANGUN SISTEM INFORMASI PENJADWALAN UJIAN AKHIR SEMESTER BERBASIS WEB DENGAN FITUR AUTO-SCHEDULING Muhammad Furqan Hakim; Anggi Andika Pratama; Riska Riska; Hendra Finur; Saloma Saloma; Arga Chon Feriandref; Othman Ballan; Riman Abimayu; Beni Liantori
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses penyusunan jadwal Ujian Akhir Semester (UAS) di institusi pendidikan tinggi sering kali terkendala oleh bentroknya jadwal pengawas dan tumpang tindih penggunaan ruangan. Penelitian ini bertujuan merancang dan membangun platform Sistem Informasi Penjadwalan terpadu berbasis web di Universitas Graha Karya (UGK) Muara Bulian. Sistem ini dikembangkan menggunakan bahasa pemrograman PHP dan basis data MySQL, dengan antarmuka responsif berbasis Tailwind CSS. Fitur utama dalam sistem ini adalah implementasi algoritma Auto-Scheduling yang mampu menyusun ratusan jadwal mata kuliah secara otomatis berdasarkan klaster fakultas, menyisipkan waktu istirahat dinamis, dan melompati hari libur. Hasil pengujian menunjukkan bahwa platform ini mampu meningkatkan efisiensi proses administrasi akademik secara signifikan. Sistem juga dilengkapi dengan fitur filter jadwal real-time untuk mahasiswa dan ekspor data ke format CSV terstruktur yang kompatibel dengan Microsoft Excel untuk kebutuhan pencetakan Surat Keputusan (SK).
ANALISIS PERBANDINGAN PERFORMA GALOIS COUNTER MODE (GCM) PADA AES DAN CAMELLIA UNTUK ENKRIPSI DAN DEKRIPSI DATA Usman Hidayatulloh Sidiq; Akhmad Zaini; Danang Aditya Nugraha
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Digital data security has become a critical necessity in tandem with the increasing threats to information confidentiality and integrity in the modern era. The Advanced Encryption Standard (AES) and Camellia are to internationally standardized block cipher algorithms with equivalent security levels but distinct internal structures. The Substitution-Permutation Network (SPN) in AES and the Feistel Network in Camellia result in different performance characteristics. The lack of comprehensive research comparing both algorithms in Galois Counter Mode (GCM) using multithreading and hardware acceleration parameters serves as the background for this study. This research aims to compare the performance of AES and Camellia in GCM based on parameters including key size, file size, mode of operation, multithreading, and hardware acceleration. The implementation was conducted using the Java programming language and the BouncyCastle library. The result indicate that AES is superior, exhibiting a 30% higher processing rate. Multithreading efficiency is optimal at 2 threads but decreases at 8 threads due to thread management overhead. Hardware acceleration yields varied impacts, such as accelerating encryption time and slowing down the decryption time for AES. Overall, AES demonstrates superior performance, whereas Camellia remains competitive under specific conditions.

Page 8 of 8 | Total Record : 79

 4   5   6   7   8 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol 11 No 2 (2026): Jurnal Informasi Interaktif Vol 11 No 1 (2026): Bahasa Indonesia Vol 10 No 2 (2025): JII Volume 10 Nomor 2 Mei 2025 Vol 10 No 1 (2025): JII Volume 10, Number 1, Januari 2025 Vol 10 No 3 (2025): Jurnal Informasi Interaktif Vol 9 No 3 (2024): JII Volume 9, Number 3, September 2024 Vol 9 No 2 (2024): JII Volume 9 Number 2, Mei 2024 Vol 9 No 1 (2024): JII Volume 9, Number 1, Januari 2024 Vol 8 No 3 (2023): JII Volume 8, Number 3, September 2023 Vol 8 No 2 (2023): JII Volume 8, Number 2, Mei 2023 Vol 8 No 1 (2023): JII Volume 8, Number 1, Januari 2023 Vol 7 No 3 (2022): JII Volume 7, Number 3, September 2022 More Issue