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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 Makara Journal of Technology Smart Techno (Smart Technology, Informatic and Technopreneurship) SmartComp INOVTEK Polbeng - Seri Informatika
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Design a Web-Based Library Information System Using the Waterfall Method (Case Study of SMA Muhammadiyah 2) Nur Aulia, Adiva; Tsani, Mutiara; Suharso, Wildan
ASTONJADRO Vol. 13 No. 1 (2024): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v13i1.14562

Abstract

Information technology is a technology that is developing rapidly at this time. Computers as student learning media have many functions such as audio, animation, visual, and interactive capabilities. The main problem in the field of education is the low interest in reading students and reading habits. The library is expected to help increase students' interest in reading and reading habits. SMA Muhammadiyah has a new library and is still manual in recording borrowing and returning books. This makes it difficult for librarians to search for data and is at risk of losing books. It is difficult for students to find book information and the irregular placement of books makes the process of borrowing books ineffective and inefficient. Therefore, a web-based library information system is needed to make it easier for students to borrow books. The Waterfall method will be used to help design the library system at SMA Muhammadiyah 2 Cipondoh. The Waterfall method is a method that is very commonly used in the early stages of the manufacturing process. Application features developed by researchers at the Muhammadiyah 2 Cipondoh High School library include logins, book master data, book loan transaction data, book return transaction data, and book borrowing reports. Library information system development uses the PHP CodeIgniter 3 framework. The front ends used are HTML 5, CSS 3, and Bootstrap version 4.
SISTEM INFORMASI MANAJEMEN PESERTA MAGANG PLN UP3 SIDOARJO MENGGUNAKAN METODE SDLC WATERFALL Maulana, Noordin Prasetyo; Suharso, Wildan; Muthohirin, Bashor Fauzan
Jurnal Informatika Vol 9, No 3 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i3.13914

Abstract

Dalam era digital yang terus berkembang, kebutuhan akan sistem informasi menjadi hal krusial dalam menunjang kegiatan administrasi dan operasional di berbagai instansi. PT. PLN (Persero) UP3 Sidoarjo selain bergerak di bidang jasa kelistrikan juga memberikan kesempatan para pelajar untuk merasakan seperti apa dunia kerja sebenarnya melalui kesempatan magang yang diberikan oleh perusahaan. Dalam pelaksanaan pendataan peserta magang selama ini pengelolaan dilakukan secara manual sehingga memunculkan berbagai kendala seperti duplikasi data, keterlambatan pencetakan sertifikat, dan kesulitan dalam pemantauan jumlah peserta magang yang aktif. Permasalahan ini mendorong dilakukannya penelitian untuk merancang dan membangun sistem informasi manajemen peserta magang yang mampu memfasilitasi proses pendataan peserta magang. Penelitian ini menggunakan metode Software Development Life Cycle (SDLC) model Waterfall, yang meliputi empat tahap utama: analisis, desain, pengkodean, pengujian sistem menggunakan metode black-box. Dalam rancang bangun yang telah dilakukan berhasil menghasilkan sebuah sistem yang dapat memenuhi seluruh kebutuhan pengguna.
Sistem Informasi Layanan Pengaduan Masyarakat di Dinas Sosial P3ap2kb Kota Malang Menggunakan Metode Prototype Jonathan, Sendy; Suharso, Wildan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 4 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i3.8925

Abstract

Dinas Sosial P3AP2KB Kota Malang merupakan lembaga pemerintahan daerah yang memiliki tanggung jawab dalam menangani urusan masalah sosial,pemberdayaan wanita ,perlindungan bagi anak-anak,pengendalian populasi ,serta program keluarga berencana di wilayah Kota Malang .Pelayanan yang diberikan oleh Dinas Sosial P3AP2KB Kota Malang hingga saat ini prosesnya dikerjakan secara manual .Hal ini sering menimbulkan bermacam kendala,seperti adanya data yang dobel,data yang tercecer,serta kurangnya integrasi antar data.Selain itu,masyarakat juga sering kali kesulitan mendapatkan informasi lengkap mengenai persyaratan berkas saat mengurus surat pengantar atau keterangan,yang pada akhirnya membuat proses pelayanan menjadi lambat dan tidak efisien.Padahal,pada masa kini di tengah pesatnya perkembangan teknologi ,hal ini menjadi tantangan tersendiri.Oleh karena itu,untuk meningkatkan kualitas layanan,di kembangkanlah sebuah Sistem Informasi Layanan Pengaduan Masyarakat berbasis website dengan menggunakan metode prototype.Sistem ini di harapkan bisa mempermudah masyarakat dalam menyampaikan keluhan atau aduan,serta mempercepat proses penanganannya.Hasil akhir dari pengembangan ini adalah sebuah tampilan website pengaduan yang dapat membantu masyarakat maupun pihak kelurahan dalam memperlancar proses pelayanan
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.
Co-Authors Abdullah Faqih Septiyanto Abims Fardiansa Abu Hanifah Achmadi, Taufan Reza Adam Pamungkas Ramadhan Adi, Nugroho 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 Jahtra Hidayatullah Jonathan, Sendy 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 Maskur Maulana, Noordin Prasetyo Moch Imron Mualim, Damar Arya Pradhipta Muhammad Amin Muhammad Asrar Fathoni Muhammad Iqbal Ramadhan 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 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 Shanty Kusuma Dewi Sofyan Arifianto Sri Juniyanti Syahid Widyanto, Azis Nur Syaifuddin Syaifuddin Taufan Reza Achmadi Thathit Manon Andini Tino Firmansyah Tsani, Mutiara 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