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All Journal Jurnal Teknologi dan Manajemen Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi JIKO (Jurnal Informatika dan Komputer) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SINTECH (Science and Information Technology) Journal JURNAL INSTEK (Informatika Sains dan Teknologi) DoubleClick : Journal of Computer and Information Technology CYBERNETICS Astonjadro J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Repositor JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) JIKA (Jurnal Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Perempuan & Anak Joutica : Journal of Informatic Unisla Jurnal Algoritma Makara Journal of Technology Smart Techno (Smart Technology, Informatic and Technopreneurship) SmartComp INOVTEK Polbeng - Seri Informatika
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Analysis of the Combination of Naïve Bayes and MHR (Mean of Horner’s Rule) for Classification of Keystroke Dynamic Authentication Sari, Zamah; Chandranegara, Didih Rizki; Khasanah, Rahayu Nurul; Wibowo, Hardianto; Suharso, Wildan
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.839

Abstract

Keystroke Dynamics Authentication (KDA) is a technique used to recognize somebody dependent on typing pattern or typing rhythm in a system. Everyone's typing behavior is considered unique. One of the numerous approaches to secure private information is by utilizing a password. The development of technology is trailed by the human requirement for security concerning information and protection since hacker ability of information burglary has gotten further developed (hack the password). So that hackers can use this information for their benefit and can disadvantage others. Hence, for better security, for example, fingerprint, retina scan, et cetera are enthusiastically suggested. But these techniques are considered costly. The advantage of KDA is the user would not realize that the system is using KDA. Accordingly, we proposed the combination of Naïve Bayes and MHR (Mean of Horner’s Rule) to classify the individual as an attacker or a nonattacker. We use Naïve Bayes because it is better for classification and simple to implement than another. Furthermore, MHR is better for KDA if combined with the classification method which is based on previous research. This research showed that False Acceptance Rate (FAR) and Accuracy are improving than the previous research.
A Comparison of Ryu and Pox Controllers: A Parallel Implementation Rizaldi, Muhammad Ikhwananda; Yusuf, Elsa Annas Sonia; Akbi, Denar Regata; Suharso, Wildan
JOIN (Jurnal Online Informatika) Vol 9 No 1 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i1.1181

Abstract

Software Defined Network (SDN) network controllers have limitations in handling large volumes of data generated by switches, which can slow down their performance. Using parallel programming methods such as threading, multiprocessing, and MPI aims to improve the performance of the controller in handling a large number of switches. By considering factors such as memory usage, CPU consumption, and execution time. The test results show that although RYU outperforms POX in terms of faster execution time and lower CPU utilization rate, POX shows its prowess by exhibiting less memory usage despite higher CPU utilization rate than RYU. The use of the parallel approach proves advantageous as both controllers exhibit enhanced efficiency levels. Ultimately, RYU's impressive speed and superior resource optimization capabilities may prove to be more strategic than POX over time. Taking into account the specific needs and prerequisites of a given system, this research provides insights in selecting the most suitable controller to handle large-scale switches with optimal efficiency.
User Classification Based On Mouse Dynamic Authentication Using K-Nearest Neighbor Chandranegara, Didih Rizki; Ashari, Anzilludin; Sari, Zamah; Wibowo, Hardianto; Suharso, Wildan
Makara Journal of Technology Vol. 27, No. 1
Publisher : UI Scholars Hub

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

Abstract

Mouse dynamics authentication is a method for identifying a person by analyzing the unique pattern or rhythm of their mouse movement. Owing to its distinctive properties, such mouse movements can be used as the basis for security. The development of technology is followed by the urge to keep private data safe from hackers. Therefore, increasing the accuracy of user classification and reducing the false acceptance rate (FAR) are necessary to improve data security. In this study, we propose to combine the K-nearest neighbor method and simple random sampling and obtain a sample from a dataset to improve the classification of users and attackers. The results show that our proposed method has high accuracy for implement to practical system and reports the best results than previous research with a FAR of 0.037. Therefore, this method can be implemented in a real login system. The high false rejection rate of our proposed method will not be a problem because the most important thing in the login system is denying the attacker system access.
Optimalisasi Proses Penjualan dan Pengecekan Stok Pada Toko Mozza Aquatic Menggunakan BPMN Fathony, Izza Ihsan; Suharso, Wildan
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3130

Abstract

An efficient sales process and stock checking are crucial components in maintaining smooth operations and customer satisfaction, especially for MSMEs such as Toko Mozza Aquatic. This research aims to redesign these two main processes using the Business Process Model and Notation (BPMN) approach. This study involves comprehensive business flow analysis, throughput efficiency evaluation, and identification of information technology-based solutions. The research results show that the new system design, which digitally integrates sales and inventory interfaces, is able to improve process structure, reduce service time, and minimize manual errors. Features such as product search, transaction tracking, stock availability indicators also support more responsive and accurate decision making. These findings confirm that the implementation of BPMN accompanied by digitalization and HR training is an effective strategy in increasing the efficiency and competitiveness of MSMEs amidst competitive market dynamics.Keywords: Business Process Modeling Notation; Sales Process; Stock Checking; Information Systems; Operational Efficiency.AbstrakProses penjualan dan pengecekan stok yang efisien merupakan komponen krusial dalam menjaga kelancaran operasional dan kepuasan pelanggan, terutama bagi pelaku UMKM seperti Toko Mozza Aquatic. Penelitian ini bertujuan untuk merancang ulang dua proses utama tersebut menggunakan pendekatan Business Process Model and Notation (BPMN). Studi ini melibatkan analisis alur bisnis secara menyeluruh, evaluasi efisiensi throughput, serta identifikasi solusi berbasis teknologi informasi. Hasil penelitian menunjukkan bahwa rancangan sistem baru, yang mengintegrasikan antarmuka penjualan dan inventaris secara digital, mampu meningkatkan struktur proses, mengurangi waktu layanan, dan meminimalkan kesalahan manual. Fitur-fitur seperti pencarian produk, pelacakan transaksi, indikator ketersediaan stok turut mendukung pengambilan keputusan yang lebih responsif dan akurat. Temuan ini menegaskan bahwa penerapan BPMN yang diiringi digitalisasi dan pelatihan SDM merupakan strategi efektif dalam meningkatkan efisiensi dan daya saing UMKM di tengah dinamika pasar yang kompetitif.  
A Development of Worker Network Information System at the Batu City Manpower Using the Prototyping Method Okta; Suharso, Wildan
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/vxt13a80

Abstract

The unemployment rate in Indonesia continues to pose significant social and economic challenges, requiring government initiatives such as job training programs. However, administrative processes that still rely on Google Forms lead to several issues, including data duplication (19 duplicates out of 598 registrations, or 3.2%), slow verification procedures (24–32 working hours per period), and limited real-time monitoring. This study focuses on developing a digital job training module integrated with the Worker Network Information System (SiJoker) at the Batu City Manpower Office. The system was developed using the prototyping method through three iterative cycles with direct user involvement, allowing the solution to be refined according to actual operational needs. The module includes participant registration, training management, and document validation features. System evaluation was conducted using Black Box Testing with 19 functional scenarios covering account management, training management, document management, verification, and reporting. The test results confirmed valid outputs for all scenarios without any critical errors. User evaluation by three staff members also validated system feasibility, particularly the effectiveness of explicit document status indicators, simplified navigation, and enhanced system responsiveness through optimized database queries.
Implementation of Concurrency Control to Prevent Race Condition in a Web-Based Billiard Table Reservation System Hermawan, Mohammad Luthfi; Suharso, Wildan
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/vrnggg84

Abstract

The development of information technology has driven the digitalization of various services, including web-based billiard table reservation systems. However, web systems that operate in real time are prone to race conditions when multiple users attempt to book the same table simultaneously, potentially leading to double booking. This study aims to implement a Concurrency Control mechanism using the Firebase Transaction feature to prevent such booking conflicts. The research method adopts a Research and Development (R&D) approach with the ADDIE model, which consists of the stages of Analysis, Design, Development, Implementation, and Evaluation. Furthermore, testing was conducted through pre-test and post-test simulations across 10 trials with concurrent users ranging from 2 to 11 individuals. In the pre-test stage, all users were able to successfully book the same resource simultaneously, resulting in 100% double booking across all trials. In the post-test stage, after implementing the Concurrency Control mechanism using Firebase Transaction, only one request was accepted out of the same 10 trials, while all other requests were automatically rejected, resulting in 0% double booking. These findings demonstrate that the applied concurrency control mechanism is effective in maintaining data consistency and preventing race conditions in the web-based billiard table reservation system.
Analysis of Pneumonia on Chest X-Ray Images Using Convolutional Neural Network Model iResNet-RS Chandranegara, Didih Rizki; Vitanti, Vizza Dwi; Suharso, Wildan; Wibowo, Hardianto; Arifianto, Sofyan
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1728

Abstract

Pneumonia, a prevalent inflammatory condition affecting lung tissue, poses a significant health threat across all age groups and remains a leading cause of infectious mortality among children worldwide. Early diagnosis is critical in preventing severe complications and potential fatality. Chest X-rays are a valuable diagnostic tool for pneumonia; however, their interpretation can be challenging due to unclear images, overlapping diagnoses, and various abnormalities. Consequently, expedient, and accurate analysis of medical images using computer-aided methods has become crucial. This research proposes a Convolutional Neural Network (CNN) model, specifically the ResNet-RS Model, to automate pneumonia identification. The Contrast Limited Adaptive Histogram Equalization (CLAHE) technique enhances image contrast and highlights abnormalities in pneumonia images. Additionally, data augmentation techniques are applied to expand the image dataset while preserving the intrinsic characteristics of the original images. The proposed methodology is evaluated through three testing scenarios, employing chest X-ray images and pneumonia dataset. The third testing scenario, which incorporates the ResNet-RS model, CLAHE preprocessing, and data augmentation, achieves superior performance among these scenarios. The results show an accuracy of 92% and a training loss of 0.0526. Moreover, this approach effectively mitigates overfitting, a common challenge in deep learning models. By leveraging the power of the ResNet-RS model, along with CLAHE preprocessing and data augmentation techniques, this research demonstrates a promising methodology for accurately detecting pneumonia in chest X-ray images. Such advancements contribute to the early diagnosis and timely treatment of pneumonia, ultimately improving patient outcomes and reducing mortality rates.
Application of the Heart Metrics Method in Analyzing User Experience on the Rayz UMM Website Wildan Suharso; Briansyah Setio Wiyono; Firman Firman
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.482

Abstract

The Rayz UMM Hotel website serves as the primary medium for conveying information about services and facilities, but so far, the quality of the user experience (UX) on the website has not been studied in depth. Based on the initial questionnaire results, there were also several negative responses that indicated dissatisfaction with the aspects of Happiness and Adoption. Therefore, a comprehensive UX evaluation is needed. This study uses the HEART Framework method, which covers five aspects, namely Happiness, Engagement, Adoption, Retention, and Task Success. The research instrument is a questionnaire with 20 questions distributed to website users, which is then analyzed through validity and reliability tests, hypothesis testing, and measurement of the level of usability. The results show that the variables of Happiness and Task Success are in the very high category, Retention is in the very high category, while Engagement and Adoption are in the very high category. These findings confirm that the Hotel Rayz UMM website has generally been able to provide a fairly good user experience, but still needs development in terms of navigation and system performance in order to optimize UX quality.
Pengembangan Sistem Manajemen Member dan Event menggunakan Extreme Programming pada Platform Digistar Club by Telkom Indonesia Adi, Nugroho; Suharso, Wildan
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 3 (2025): Volume 11 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i3.101604

Abstract

Sebagai komunitas talenta digital strategis di PT Telkom Indonesia, Digistar Club menghadapi tantangan operasional signifikan akibat pengelolaan data yang terfragmentasi dan proses administrasi manual. Kondisi ini menyebabkan tingginya waktu siklus (cycle time) pelayanan dan risiko integritas data yang menghambat pengambilan keputusan strategis. Penelitian ini bertujuan untuk mentransformasi proses tersebut melalui pengembangan platform manajemen terintegrasi menggunakan metodologi Extreme Programming (XP), serta mengukur dampak efisiensinya secara. Pendekatan XP dipilih karena karakteristiknya yang tangkas (agile) dalam merespons volatilitas kebutuhan melalui siklus rilis pendek dan kolaborasi intensif. Hasil pengujian menunjukkan bahwa implementasi sistem ini memberikan dampak signifikan terhadap produktivitas operasional. Tercatat peningkatan efisiensi waktu siklus (cycle time) sebesar 99,1% pada proses rekapitulasi laporan dan 95% pada validasi keanggotaan. Lebih jauh, analisis Process Cycle Efficiency (PCE) menunjukkan lonjakan efisiensi alur kerja dari 33,33% (manual) menjadi 100% (sistem), yang mengindikasikan eliminasi total terhadap waktu tunggu (waste). Selain keunggulan efisiensi, strategi incremental delivery terbukti efektif mengakomodasi integrasi middleware API CRMS Telkom di tengah iterasi tanpa mengganggu jadwal rilis. Penelitian ini menyimpulkan bahwa penerapan disiplin XP pada tim berskala kecil mampu menghasilkan perangkat lunak berkualitas tinggi dengan stabilitas nol cacat kritis, menjadikannya kerangka kerja yang layak dan efisien untuk unit pendukung di lingkungan korporasi.
Optimization of the Payment Process at Toko Pertanian Kurnia Manokwari Using Business Process Reengineering and Throughput Efficiency Faizal Qadri Trianto; Suharso, Wildan
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 8 No. 1 (2026)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v8i1.195

Abstract

Rapid advances in digital technology within the agribusiness sector require Micro, Small, and Medium Enterprises (MSMEs) to adapt their operational strategies to remain competitive. This study presents a single-case study conducted at Toko Pertanian Kurnia Manokwari, an agribusiness MSME in West Papua, which experiences inefficiencies in its payment and order fulfillment processes due to reliance on manual bank transfers and centralized owner-based verification. The study aims to optimize the payment process through the application of Business Process Reengineering (BPR) by modeling the existing (As-Is) and redesigned (To-Be) processes using Business Process Model and Notation (BPMN) and evaluating process performance with the ASME Standard Process Chart through throughput efficiency measurement. The analysis identifies centralized verification as a single point of failure that prolongs transaction cycle times. The proposed solution integrates an API-based automated payment gateway to replace manual verification. The results indicate that the As-Is process achieves a throughput efficiency of 35.48% with a total cycle time of 186 minutes, whereas the evaluation of the redesigned To-Be process model indicates a potential increase in throughput efficiency to 100% and a reduction in cycle time to 23 minutes. These findings demonstrate that BPR supported by digital payment system integration, based on To-Be process modeling, can significantly improve transaction efficiency and operational scalability in agribusiness MSMEs.
Co-Authors Abdullah Faqih Septiyanto Abims Fardiansa Abu Hanifah Achmadi, Taufan Reza Adam Pamungkas Ramadhan Adi, Nugroho Aditama, Yudanto Ageng Widjaya Saputra Agus Eko Minarno Ahmad Ridhani Aini Alifatin Akbi, Denar Regata Andi Mochlis Rachmanu Andriyani, Vivi Anhar Anisatu Thoyyibah Aprilianti, Devi Ardiansyah, Frendy Ardiansyah Arif Rahmadhani Aristy Indana Arrasyid, Muhammad Zidan Ashari, Anzilludin Avola, Ahmad Tiova Ian Az-Zahra, Feisyah Azmi, Fawwaz A’yun, Ainul Fithrotul Bagaskara, Andhika Dwija Bashor Fauzan Muthohirin Benny Indriawan Priatmaja Brima Helpiono Catur Rahmadani Nuari Chandranegara, Didih Rizki Christian Sri Kusuma Aditya Damar Arya Pradhipta Dani Harmanto Dani Harmanto Darfian Ardiansyah Darmawan, Gilang Dwi Daroe Iswatiningsih Dewantoro, Muhammad Bagas Dharma Surya Pradana Dini Kurniawati Dwi Anggraini Puspita Rahayu Ekanita Rakhmah Eko Budi Cahyono Evi Dwi Wahyuni Fachrunnisa Firdausi Fahmi Dwi Arianto Arianto Faizal Qadri Trianto Fariansyah Arkanda, Rayangga Faridho Fajar Rozaqi Fathoni, Muhammad Asrar Fathony, Izza Ihsan Fidiyanto, Akhsanul Fiqri Abdillah Firdaus, Muhammad Ariq Firdausi, Fachrunnisa Firman Firman Firmansyah, Tino Fitri Bimantoro Frendy Ardiansyah Ardiansyah Gita Indah Marthasari Gita Marthasari Hanif, Lathifah Hardianto Wibowo Harmanto, Dani Harsoyo, Farras Sandy Heni Pujiastuti herlambang, pandu Hermawan, Mohammad Luthfi Hussin Agung Wijaya Ika Winda Kusumawardani Imron, Moch Izzati, Faiza Adzra Jahtra Hidayatullah Januar Muiz Triananda Karyati, Rina Khasanah, Rahayu Nurul Kiki Ratna Sari L. Yasril Imam LAILATUL FITRIAH Lailatul Hasanah Lailatul Husniah Lailis Syafa'ah Lathifah Hanif Lilhaq, Muhammad Zulfiqor Mahar Faiqurahman Marthasari, Gita Maskur, M Maulana, Noordin Prasetyo Moch Imron Mualim, Damar Arya Pradhipta Muhammad Amin Muhammad Asrar Fathoni Muhammad Iqbal Ramadhan Muhammad Rafly Hidayat Nashrullah, Aditya Nur Annisa Nur Aulia, Adiva Nur Hayatin Nurwisnu Warasih Al-Kahfie Nuryasin, Ilyas Okta Raditya Novidianto Raffi Ainul Afif Rahmah, Anisa Ayu Nabila Nur Rahman, Facthur Raihan, Muhammad Afif Rakhmah, Ekanita Ramadha, Firdatul Nurul Ramadhany, Naufal Raihan Riki Rizki Nur Shidiq Rina Karyati Risca Amellia Risdianto Risdianto Riswandi Meifi Mardani Rizaldi, Muhammad Ikhwananda Rizky Githa Hidayat Rizky Irwan Saputra Rohman, Moh. Ainur Bahtiar Romadhana, Muhammad Restu Adjie S, Vinna Rahmayanti Sahnaz Faradiba Taslim Sandy Young Sari, Zamah Sendy Jonathan Shanty Kusuma Dewi Sofyan Arifianto Sri Juniyanti Syahid Widyanto, Azis Nur Syaifuddin Syaifuddin Taufan Reza Achmadi Thathit Manon Andini Tino Firmansyah Tsani, Mutiara Utomo, Anggoro Dwi Vitanti, Vizza Dwi Vivi Andriyani Wahyu Andhyka Kusuma Wicaksono, Galih Wasis Wijaya, Perdana Nuarastu Rangga Wijdaniah, Jauza Wiyono, Briansyah Setio Yannu Indra Kusuma Yuda Munarko Yudadharma, Muhammad Vijar Yudhistira, Brian Yudi Ananta Prasetya Yudiansyah, Muhammad Wahyu Yufis Azhar Yurizal Rizqon Rifani Yusuf, Elsa Annas Sonia Zakki, Ahmad Kevin Adhira Zamah Sari Zata Dini Astuti