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All Journal Jurnal Varidika Jurnal Ilmiah Universitas Batanghari Jambi Jurnal AKSI (Akuntansi dan Sistem Informasi) DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) International Journal of Business, Law, and Education Academic Journal of Computer Science Research (AJCSR) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Tren Bisnis Global Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Riset Indragiri The Easta Journal Law and Human Rights
Fredy Susanto
Politeknik Negeri Madiun
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Social Sciences Other

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Designing an ICT Service Chatbot at the Global Institute Firgiawan, Annis; Asy'ari, Hasan; Susanto, Fredy; Bangun, Eka Uliyanti Putri Br.
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1519

Abstract

The design of an ICT service chatbot at Global Institute aims to enhance the efficiency and effectiveness of providing technical support to users, including staff, lecturers, and students. With the increasing demand for Information and Communication Technology (ICT) services, a solution is needed that can provide quick and accurate responses to various technical issues. This chatbot is designed using artificial intelligence (AI) technology that enables natural interaction with users through a conversational platform. The main features implemented in the chatbot include managing technical support requests, automatically resolving common issues, and providing guidance on the use of ICT devices and applications. This research employs an object-oriented development methodology and incorporates an Agile approach to ensure flexibility and responsiveness in development. System trials were conducted involving end users to gather feedback and make necessary improvements. The test results show that the chatbot significantly reduces response time and the workload of the ICT team, as well as improves user satisfaction. Thus, the implementation of this chatbot is expected to positively contribute to the quality of ICT services at Global Institute.
Sistem Informasi Manajemen Aset untuk Meningkatkan Optimalisasi Manajemen di Kantor Desa Lebak Wangi Oetario Putro, R. Andy; Sidik, Achmad; Susanto, Fredy; Munawaroh, Siti
JURNAL TREN BISNIS GLOBAL Vol 4, No 2 (2024): JURNAL TREN BISNIS GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/jtbg.v4i2.15728

Abstract

Sistem informasi dan teknologi saat ini semakin canggih dan kebutuhan akan informasi dan teknologi semakin besar sehingga penerapan teknologi dalam sebuah perusahaan sangat diperlukan, salah satunya teknologi dalam proses manajemen aset. Namun, untuk menerapkan suatu teknologi yang efektif, maka diperlukan analisis dan rancangan sistem yang baik. Pada kenyataannya, hingga saat ini di Kantor Desa Lebak Wangi sistem informasi manajemen aset masih semi komputerisasi, kurangnya tingkat keamanan, dan minimnya volume penyimpanan data. Oleh karena itu, penulis melakukan penelitian untuk membantu proses manajemen aset agar menjadi optimal menggunakan pendekatan dengan metode pengembangan sistem SDLC (Software Development Life Cycle) dan model Waterfall. Dalam pembuatan aplikasi, penulis menggunakan bahasa pemrograman PHP dan XAMPP sebagai database. Hasil dari penelitian ini adalah rancangan sistem yang terintegrasi dan mencakup fitur-fitur yang berkaitan dengan manajemen aset sehingga dapat menjadi solusi terbaik bagi perusahaan untuk mengatasi kendala-kendala yang ada serta meningkatkan optimalisasi manajemen dan kinerja perusahaan secara keseluruhan.
Analisis Performa Deteksi Penyakit Padi Dengan Model Klasifikasi GambarMenggunakan Teachable Machine Hidayatullah, Ilham; Septihadi, Ali Nugroho; Susanto, Fredy; Ryando, M. Bucci
Academic Journal of Computer Science Research Vol 7, No 1 (2025): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v7i1.15669

Abstract

Penyakit padi menjadi momok bagi petani karena berpotensi menurunkan hasil panen drastis. Deteksi dini penyakit padi krusial untuk menekan kerugian ekonomi. Penelitian ini menganalisis performa model klasifikasi gambar dalam mendeteksi penyakit padi memanfaatkan Teachable Machine. Gambar penyakit padi dikumpulkan dari berbagai sumber dan melalui proses prapengolahan untuk meningkatkan kualitas. Model klasifikasi gambar dibangun menggunakan Teachable Machine dengan arsitektur Convolutional Neural Network (CNN). Hasil penelitian menunjukkan akurasi model klasifikasi gambar sangat memuaskan, mencapai 99%. Model ini efektif dalam mendeteksi penyakit blas, hawar daun bakteri, dan tungau padi. Penelitian ini membuktikan bahwa Teachable Machine berpotensi sebagai alat efektif untuk mendeteksi penyakit padi dengan akurasi tinggi. Dengan demikian, petani dapat melakukan deteksi dini penyakit padi sehingga memungkinkan tindakan pencegahan dan pengendalian yang tepat.
Tax App: Aplikasi Perpajakan Berbasis App Mobile di CV. Shanjaya Group Webbing Alfianto, Dani; Haddraturafilah, Arya; Susanto, Fredy; Maisaroh, Siti
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.6009

Abstract

The quality of the software can be seen from the functionality of the application system, whether it meets the user's needs or whether it may be detrimental to the system owner and user. For software testing, there are several methods used by testers to evaluate software, namely Black Box Testing and White Box Testing. In this research, the testing method used is Black Box by applying the Equivalence Partitioning technique to evaluate the TaxApp android-based application on CV. Shanjaya Group Webbing. The research stages are determining system function, designing test cases, conducting testing, and drawing final conclusions. Based on the results of black box testing, it was found that the application runs according to its function, namely that users can access the application, manage payment data and categories and the application can print reports per period. The results of the research obtained an application that is able to carry out the recording process more easily and reduce the error rate in recording data, and the data is automatically saved and can be viewed at any time and anywhere.
Prototype Aplikasi Marketplace Hewan Oktavian, Karel; Ikhsani, Iqbal Nur; Susanto, Fredy; Ryando, M. Bucci
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5704

Abstract

Nowadays, trading through marketplaces has become a part of everyday life. Names like Tokopedia, Shopee, and Bukalapak are no longer unfamiliar to the public. This Animal Marketplace Application prototype was created as a platform where animal sellers and buyers can meet. Typically, animal trading is done offline by visiting the seller's location. However, it is very difficult to find animal sellers due to its complex segmentation. Cloud-based and using a mobile platform, the animal marketplace is designed to connect sellers and buyers from various locations, aiming to facilitate interactions between them. The hope is that this application can help small and medium enterprises (SMEs) in Indonesia.
Analisis Performa Deteksi Penyakit Paru-Paru dengan Model Klasifikasi Gambar Menggunakan LSTM Deep Learning Anwar, Khoirul; Maruf, Rohim; Susanto, Fredy; Ryando, M. Bucci
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5697

Abstract

This research aims to analyze the performance of image classification models for lung disease detection using the long short-term memory (LSTM) deep learning method, and compare it with other methods such as convolutional neural networks (CNN). LSTM, which is commonly used in sequential data processing, is explored for its capabilities in handling medical imaging data. Performance comparisons are based on accuracy, precision, recall, and F1-score metrics, with data drawn from multiple sources of lung imaging datasets. The results of this study show that the LSTM method has certain advantages and disadvantages compared with CNN in terms of efficiency, detection accuracy, and generalization ability.
Legal Protection for Gig Workers in the Digital Economy: A Critical Review of Labor Relations in Indonesia Wibowo, Sundaru Guntur; Susanto, Fredy
The Easta Journal Law and Human Rights Vol. 3 No. 03 (2025): The Easta Journal Law and Human Rights (ESLHR)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/eslhr.v3i03.705

Abstract

The rapid growth of the digital economy in Indonesia has given rise to gig work arrangements, characterized by short-term, task-based employment facilitated through online platforms. While offering flexibility and new income opportunities, gig work often operates outside the scope of traditional labor laws, leaving workers without adequate legal protection. This study employs a normative legal analysis to critically review Indonesia’s industrial relations framework in addressing the rights and obligations of gig workers. The research examines relevant national legislation, judicial decisions, and comparative legal approaches from other jurisdictions, alongside international labor standards. Findings reveal that the current legal framework is insufficient to address the unique characteristics of platform-mediated work, resulting in legal uncertainty over employment classification, limited access to social protection, and weak collective bargaining rights. Drawing from comparative models and ILO conventions, the study recommends legal reforms to define gig work, introduce hybrid employment categories, extend mandatory social protection coverage, recognize gig worker associations, and establish specialized dispute resolution mechanisms. These measures are essential for balancing labor protection with the flexibility and innovation of the digital economy in Indonesia.
The Influence of Innovation Capability, Digital Transformation, and Supply Chain Integration on Competitive Advantage in the Automotive Industry in Indonesia Susanto, Fredy; Wibowo, Sundaru Guntur
International Journal of Business, Law, and Education Vol. 6 No. 2 (2025): International Journal of Business, Law, and Education (On Progress July-Desembe
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v6i2.1248

Abstract

This study examines the influence of innovation capability, digital transformation, and supply chain integration on competitive advantage in the Indonesian automotive industry. Using a quantitative design, data were collected from 150 respondents representing managers and decision-makers in automotive firms. Constructs were measured using a five-point Likert scale, and data were analyzed with Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results show that all three factors significantly and positively affect competitive advantage, with innovation capability having the strongest impact, followed by digital transformation and supply chain integration. These findings highlight the need for an integrated strategy, combining internal innovation, digital readiness, and external collaboration, to sustain competitiveness in a dynamic and globalized market. The study contributes to the Resource-Based View, Dynamic Capabilities, and Relational View theories by demonstrating how organizational capabilities, technological adaptation, and supply chain collaboration jointly shape competitive advantage in emerging economies. Managerial implications suggest that firms should invest in innovation, accelerate digital adoption, and strengthen supply chain partnerships to ensure long-term performance.
Analytical Simulation of Biocomposite Materials for Toyota Avanza Vehicle Cabin Lamp Light Covers Utilising Pandanus Tectorius Fibres with Epoxy Matrix as a Manufacturing Substitute to Cut Down on Plastic Waste Faizin, Kholis Nur; Susanto, Fredy; Aziz, M. Shafwallah Al.; Amin, M. Chabib Nur
East Asian Journal of Multidisciplinary Research Vol. 3 No. 11 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i11.11746

Abstract

Biocomposites, made from an epoxy matrix and pandan fibre, offer a biodegradable alternative to plastic. Fabricated through manual layer lay-up, the material underwent stress propagation analysis using SolidWorks simulation and automotive testing. Results indicate that failure occurs in pure tension when stress exceeds 60% of the flexural strength (1.2 MPa) due to longitudinal fibre rupture. With a Young's modulus of 2×10¹⁰ N/m², tensile strength of 13.6 MPa, and Poisson's ratio of 0.31, the material exhibited safe performance under loads nearly four times its capacity. The factor of safety, while as low as 0.5 in critical areas, confirms t
Co-Authors ALFIANTO, DANI Amin, M. Chabib Nur Ardian Prima Atmaja Asmawati, Ari Asy'ari, Hasan Aziz, Aminudin Aziz, M. Shafwallah Al. Bachtera Indarto, Bachtera Bangun, Eka Uliyanti Putri Br. Basuki Winarno, Basuki Budi Artono Firgiawan, Annis Fuad Hasan Haddraturafilah, Arya Hidayatullah, Ilham Himawan, Feri Ikhsani, Iqbal Nur Imaduddin, Ilmi Rizki Imam Basuki Iskawanto, Hilman Saraviyan Khoirul Anwar Kholis Nur Faizin, Kholis Nur M. Bucci Ryando Maaliah, Eda Maruf, Rohim Oetario Putro, R. Andy Oktavian, Karel Prihatinta, Triana Rahmatullah, Ali Ryando, M. Bucci Septihadi, Ali Nugroho Sidik, Achmad Siti Maisaroh Siti Munawaroh Sulistiyanto Sulistiyanto, Sulistiyanto Wibowo, Sundaru Guntur