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All Journal Jurnal Simetris Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika dan Multimedia VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JTERA (Jurnal Teknologi Rekayasa) JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Kurawal - Jurnal Teknologi, Informasi dan Industri Adimas : Jurnal Pengabdian Kepada Masyarakat JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JURNAL PEMASARAN KOMPETITIF Progresif: Jurnal Ilmiah Komputer Journal of Robotics and Control (JRC) Respati Journal of Computer System and Informatics (JoSYC) Journal of Innovation Information Technology and Application (JINITA) Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi dan Bisnis Journal of Technology and Informatics (JoTI) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam sudo Jurnal Teknik Informatika Hello World Blend Sains Jurnal Teknik Jurnal Informatika dan Multimedia Jurnal Informatika: Jurnal Pengembangan IT Journal of Artificial Intelligence and Technology Information Hanif Journal of Information Systems Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jurnal Informatika, Komputasi, Aplikasi & Bisnis (INFOKABIN)
Mahardika, Fajar
Politeknik Negeri Cilacap
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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A Comparative Analysis of KIP-K Acceptance Prediction Based on School Type Using XGBoost, Random Forest, and SVM-RBF: Evaluation Through Accuracy and Data Visualization Riyadi Purwanto; Fajar Mahardika; Muhammad Nur Faiz
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/10.35970/jinita.v7i2.2948

Abstract

The Indonesia Smart College Card (Kartu Indonesia Pintar-Kuliah / KIP-K) is a national initiative aimed at expanding access to higher education for students from socioeconomically disadvantaged backgrounds. This study, conducted at Politeknik Negeri Cilacap, investigates the prediction of KIP-K acceptance based on the type of high school attended by applicants. A comparative analysis was carried out using three supervised machine learning algorithms: Extreme Gradient Boosting (XGBoost), Random Forest, and Support Vector Machine with Radial Basis Function (SVM-RBF). The dataset, sourced from institutional admission records between 2022 and 2024, comprises information on school types (public, private, vocational, madrasah, and others), demographic attributes, and the KIP-K acceptance status. The data were split into training and testing sets using a 50:50 stratified sampling technique to preserve class distribution. Model performance was evaluated using standard classification metrics, including accuracy, precision, recall, and F1-score. Additionally, confusion matrices, ROC curves, and feature importance visualizations were used to enhance model interpretability. The experimental results demonstrate that the XGBoost algorithm consistently outperformed the other models across all performance metrics. Specifically, XGBoost exhibited the highest discriminatory power with an AUC of 0.93, followed by Random Forest (0.90) and SVM-RBF (0.85). These findings affirm the suitability of tree-based ensemble methods for classification tasks in educational domains and emphasize the predictive relevance of school type in determining KIP-K eligibility. The study presents a data-driven decision support framework that can contribute to more objective, transparent, and equitable scholarship allocation practices, particularly within the context of vocational higher education institutions in Indonesia
Performance Evaluation and Optimization of an IoT-Based Fish Smoking Monitoring System for Ensuring Product Quality Syafirullah, Lutfi; Mahardika, Fajar; Purwanto, Riyadi; Prasetyanti, Dwi Novia
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15736

Abstract

Fish smoking is a widely used preservation method; however, the quality of smoked fish is highly dependent on the stability of temperature, humidity, and smoking duration. Manual control of these parameters has limitations and may reduce product quality. Existing studies on fish smoking monitoring systems primarily focus on temperature control without providing quantitative evaluation of how multi-parameter process stability affects product quality and shelf life. This study aims to design and implement an Internet of Things (IoT)-based monitoring system for fish smoking equipment to ensure the quality of smoked fish. The research method used is Research and Development (R&D), which includes needs analysis, system design, development, testing, and evaluation stages. The system integrates temperature and humidity sensors, a microcontroller, and an IoT platform for real-time monitoring. The test results show that the system is capable of monitoring the smoking chamber temperature within a range of 60–80 °C with an average error of ±1.5 °C compared to a standard measuring instrument, and maintaining an optimal temperature of 70 °C during the smoking process. Quality testing of the smoked fish indicates uniform doneness, a golden-brown color, firm texture, and an average moisture content reduction of 35%. Shelf-life testing shows that the smoked fish can last up to 7–10 days at room temperature and up to 21 days under cold storage without significant changes in aroma and texture. Unlike previous works, this study provides quantitative evidence that improved stability of multiple smoking parameters through IoT-based monitoring significantly enhances product quality consistency and extends the shelf life of smoked fish.
Digitalisasi Pemasaran Produk UMKM: Inovasi, Branding, dan Ekspansi Pasar Nur Muniroh; Fajar Mahardika; Ratih, Ratih; Widya Pratiwi
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i2.10763

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are a vital sector in Indonesia’s economy; however, they still face significant challenges in effectively marketing their products in the digital era. The main issues encountered include a lack of product innovation, weak branding strategies, and limited market expansion through digital platforms. MSME products often do not follow market trends and lack unique selling points, while the brands built tend to be unappealing and inconsistent both visually and narratively. On the other hand, the utilization of digital technology to reach wider markets remains limited due to low digital literacy and the absence of effective marketing strategies. This program aims to provide a comprehensive solution through training and mentoring in digital marketing, focusing on innovative product development, brand identity strengthening, and the use of social media, e-commerce, and SEO. It is expected that this initiative will enhance MSMEs' competitiveness, expand their market reach, and establish a more adaptive and sustainable business ecosystem amid technological advancement
Optimalisasi Manajemen Downtime pada SIMRS dan REM di RSUD dr. R. Goeteng Taroenadibrata Purbalingga Muhammad, Kukuh; Fajar Mahardika; Rahmawan Bagus Trianto; Joko Purwanto
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i2.11194

Abstract

Guidance in managing downtime in the Hospital Management Information System (SIMRS) and Electronic Medical Records (RME) is a strategic step to maintain operational continuity and the quality of healthcare services at RSUD dr. R. Goeteng Taroenadibrata Purbalingga. Recurrent downtime negatively impacts administrative processes and medical services, necessitating systematic and continuous management. This study aims to provide technical guidance in managing downtime and to enhance the understanding and skills of human resources, particularly the Information Technology (IT) team and users of SIMRS and RME. The methods employed include technical training, identification of downtime causes, development of system maintenance procedures, and capacity building for users in operating the information systems. The results indicate that structured training and technical support can reduce downtime frequency and accelerate responses to technical disruptions. These findings highlight the importance of strengthening the IT team through ongoing training, more systematic system maintenance planning, and the establishment of clear, user-friendly operational procedures. Continuous guidance is expected to improve the effectiveness of downtime management and support the smooth delivery of healthcare services. This effort is an integral part of enhancing the quality of information systems and advancing digital transformation in healthcare services.
IMPLEMENTATION OF BARCODES IN THE MOBILE-BASED OKESHOP MSME INVENTORY SYSTEM Jayusman, Hadi; Mahardika, Fajar; Ratih, Ratih
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6693

Abstract

Inventory can make it easier for workers to manage inventory. One of the business owners who uses the Inventory System is Okeey Shoop. The aim of this inventory system is to be able to unite the totality of related data. This unification was attempted for structured data collection and storage to make it more efficient. Barcodes enable MSMEs to accurately and quickly track their goods. By using a barcode scanner connected to a mobile application, the process of recording incoming and outgoing goods becomes more efficient, reducing human error and the time needed to manage stock. This data includes reporting on distribution and inventory of goods. The main benefit of this system is to reduce the number of errors in data collection and transactions. The method used is extreme programming where analysis, design, coding and testing are carried out. The results of the research found that this system functions well, speeds up employees in serving customers, and makes it easier for owners to monitor business activities and allocate funds appropriately to procure Okeey Shop needs.
UTILIZATION OF EXTREME PROGRAMMING IN VILLAGE ADMINITRATION SYSTEMS TO REALIZE VILLAGE INDEPENDENCE Mahardika, Fajar; Syafirullah, Lutfi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7573

Abstract

In the age of digital transformation, rural communities are increasingly exploring innovative methods to improve their administrative systems, strengthen governance, and achieve self-sufficiency. This paper examines the use of Extreme Programming (XP) techniques in developing and implementing Village Administration Systems (VAS) to promote village independence. XP, which focuses on iterative development, continuous feedback, and collaborative design, provides a flexible approach to tackle the unique challenges faced by village administrations, such as limited resources, diverse user needs, and varying digital literacy levels. By applying XP principles—such as continuous integration, collective ownership of code, and customer collaboration—this method enables the creation of adaptive, user-focused systems that can evolve according to community needs. Through real-time stakeholder feedback, the system can be refined to improve local governance, increase transparency, and ensure efficient resource management. The paper also explores how XP practices, including pair programming and frequent releases, help develop scalable and reliable solutions for rural areas. By fostering collaboration among local leaders, developers, and citizens, the system can empower village administrations to independently manage resources, reduce reliance on external support, and strengthen local capabilities. Ultimately, this paper aims to show how applying Extreme Programming to Village Administration Systems can enhance ownership, self-reliance, and contribute to sustainable rural development and village independence
Automatic Dewey Decimal Classification of Indonesian Book Metadata Using IndoBERT with Weighted Loss and Context Enhancement Joko Purwanto; Fajar Mahardika; Adlan Nugroho
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 2 (2026): Volume 4 Number 2 June 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i2.258

Abstract

This study proposes an automatic Dewey Decimal Classification (DDC) classification framework for Indonesian book metadata by integrating the IndoBERT model strengthened through weighted loss and context enhancement mechanisms. The current escalation of digital book collections poses significant challenges in classification efficiency and information retrieval, while the manual DDC classification process still relies on librarian expertise and is relatively time-consuming. The dataset used includes 2,516 book metadata obtained through the Google Books API and mapped into 14 DDC categories. The context enhancement strategy is implemented by integrating book titles and descriptions into a single text representation, while weighted cross-entropy loss, random oversampling, and simple data augmentation techniques are applied to address class imbalance issues. Model performance is evaluated based on accuracy, precision, recall, and F1-score metrics. Experimental results show that the proposed approach achieves an accuracy of 90.14% and a weighted F1-score of 90.15%, outperforming the baseline IndoBERT model, which only achieved an accuracy of 47.82% and a weighted F1-score of 47.06%. These findings indicate that the combination of weighted loss and contextual text representation can improve the semantic understanding of book metadata while reducing bias towards the majority class in Transformer-based DDC classification.
Analisis Dan Perancangan UI/UX Berbasis Teknologi Pada Company Profile Medicom Untuk Meningkatkan Aksesibilitas Dan Pengalaman Pengguna Akmal Firmansyah; Ilham Budi Trisetyo; Rizqya Chandra Muji Pratama; Fajar Mahardika
INFOKABIN (Informatika, Komputasi, Aplikasi dan Bisnis) Vol 1 No 1 (2026): Januari 2026
Publisher : Universitas Al-Irsyad Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36760/ifkb.v1i1.700

Abstract

The development of digital technology requires that PNC Student Activity Units (SAU) have a digital company profile that is not only informative but also easily accessible and provides an optimal user experience. This study aims to analyze and design technology-based UI/UX for the SAU company profile, focusing on improving accessibility and user satisfaction. The method used is User-Centered Design (UCD), including data collection through questionnaires and interviews with members, analysis of user needs, and development of an interactive prototype using responsive modern web technologies. Usability testing on 30 respondents showed an increase of 32% in user satisfaction scores and 29% faster information access compared to the previous version. The ease of navigation received an average score of 4.5 out of 5, indicating a significantly improved user experience. These findings demonstrate that implementing technology-based UI/UX design can enhance accessibility, efficiency, and user engagement in accessing SAU information within PNC
Transformasi Digital Pengasapan Ikan: Pendampingan Implementasi IoT untuk Monitoring Suhu dan Meningkatkan Kualitas Lutfi Syafirullah; Fajar Mahardika; Adlan Nugroho; Joko Purwanto; Kukuh Muhammad; Laura Sari; Ratih Hafsarah Maharrani
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 8 No. 1 (2026): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v8i1.12247

Abstract

Digital transformation in the traditional food processing sector has become a strategic step to enhance efficiency and product quality. This study aims to design and assist in the implementation of an Internet of Things (IoT) system for fish smoking equipment, particularly focusing on real-time temperature monitoring. By utilizing temperature sensors, microcontrollers, and cloud-based IoT platforms, the system enables business actors to supervise the smoking process accurately and continuously. Assistance was provided to local fish-smoking groups to ensure that the implemented technology can be operated independently and tailored to field needs. The implementation results showed an improvement in temperature consistency during the production process, which directly impacts the final product quality, especially in terms of taste, color, and shelf life of smoked fish. This study demonstrates that the integration of digital technology into traditional processing can increase product added value and strengthen the adaptive capacity of business actors in the Industry 4.0 era. The developed system also opens opportunities for replication in other agro-industrial sectors as part of strengthening a technology-based appropriate economy
User Sentiment toward Halodoc Psychological Consultation Services Using RNN and LSTM Analysis Riyadi Purwanto; Randi Afif; Fajar Mahardika; Dwi Novia Prasetyanti; Cahya Vikasari; Rostika Listyaningrum
Journal of Innovation Information Technology and Application (JINITA) Vol 8 No 1 (2026): JINITA, June 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v8i1.3288

Abstract

In the digital era, online psychological consultation services such as HaloDoc are increasingly used to provide accessible mental health support; however, the rise in users does not always reflect service satisfaction, making sentiment analysis of user reviews essential for understanding public perception. This study aims to classify positive and negative sentiments from Indonesian-language user reviews of HaloDoc’s psychological consultation service and to compare the performance of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) algorithms. Using a quantitative approach with text mining and sentiment analysis, data were collected from Google Play Store reviews and processed through case folding, filtering, tokenizing, and stemming, then manually labeled and split into 80% training and 20% testing data. Models were developed using Keras with RNN and LSTM architectures and evaluated using confusion matrix metrics, including accuracy, precision, recall, and F1-score. The results show that RNN achieved 95% accuracy, while LSTM reached 91%; although RNN performed better in accuracy, LSTM demonstrated more stable performance and superior capability in capturing complex contextual information, particularly in longer reviews with varied emotional expressions. Overall, the findings indicate that LSTM is more effective for Indonesian-language sentiment classification in the digital psychology domain and can serve as a foundation for developing automated systems to assess user satisfaction with online psychological services in Indonesia
Co-Authors Abdillah, Muhammad Labib Abdul Hakim Prima Yuniarto Abdul Razak Naufal Abdul Razak Naufal Adam Prayogo Kuncoro Adelia Fitriani Adhitya Putra Arif Nugroho Adlan Nugroho Ahmad Zulfan Akmal Firmansyah Al’ Amin, M. Al’ Amin, M. Amin, M. Al' Anang Martoyo Andik Wijanarko, Andik Angga Maulana Purba Angga Maulana Purba Arie Aryanto Arsa Anggun Anggraeni Aurora Dwi Khatulistian Bambang Bima Nugraha Bambang Sumatri, Raden Bagus Cahya Vikasari Dede Yusuf Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dwi Novia Prasetyanti Fareza Maulana A.P Fazar Sidik Felista Argita Putri Guntur Subari Hadi Jayusman Hasan Basri Hendra Marcos Hilmi Mubarok I Putu Dody Suarnatha Ihsan Alparisi Ilham Budi Trisetyo Inayatul Inayah Inayatur Robaniyyah Isep Saepudin Jayusman, Hadi Joko Purwanto Kabul Agus Purwanto Khalifah Brilianti Ramadhani Kholil Mustofa Kukuh Muhammad Kukuh Muhammad Laura Sari Luhtitisari Luhtitisari Lutfi Syafirullah M. Al ‘Amin M. Azwan Merani, Sania Galuh Miftahul Khoiri Mohammad AL AMIN Muhammad Ghofinda Prasetia Muhammad Gilland Taffy Shafa Sheehan Muhammad Nur Faiz Muhammad Sandi Muhammad Yusril Ihzam Muhammad, Kukuh Muin, Muhammad Abdul Muin Nadjwa Naela Aziz Noviana Safira Nugroho, Adlan Nur Azizah Nur Ifant Ristanto Nur Moniroh Nur Muniroh Nur Muniroh Nurul Alfiah Nurul Badriah Pari, Riki Aldi Prasetyanti, Dwi Novia Puji Cahniya Sari Raden Bagus Bambang Sumantri Rahmawan Bagus Trianto Randi Afif Ratih Ratih Ratih Hafsarah Maharrani ratih ratih Ratih Ratih Riki Aldi Pari Riki Aldi Pari Riyadi Purwanto Riyadi Purwanto Rizki Ripai Rizki Ripai Rizqya Chandra Muji Pratama Rostika Listyaningrum Saepudin, Isep Salsa Bila Salsabila Mutiara Defa Samsuri Yahya Samsuri Yahya Satriawan Desmana Setiawan, Endri Shandy, Sony Veri Sidik, Fazar Sitaresmi Wahyu Handani, Sitaresmi Wahyu Sony Veri Shandy Suhenda Suhenda Suhenda, Suhenda Suryo Nugroho Suseno, Akrim Teguh Tri Stiyo Famuji Tundo, Tundo Widya Pratiwi Yahya, Samsuri