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All Journal JUITA : Jurnal Informatika Seminar Nasional Informatika (SEMNASIF) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Insect (Informatics and Security) : Jurnal Teknik Informatika EDUKATIF : JURNAL ILMU PENDIDIKAN Al-Tamimi Kesmas: Jurnal Ilmu Kesehatan Masyarakat (Journal of Public Health Sciences) Jurnal Mantik Mobile and Forensics Jurnal Teknologi Dan Sistem Informasi Bisnis JITU : Journal Informatic Technology And Communication Idealis : Indonesia Journal Information System Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Adijaya Multidisiplin Jurnal Informatika: Jurnal Pengembangan IT
Wicaksono Yuli Sulistyo
Universitas Siber Muhammadiyah, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Public Health Social Sciences Other

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Deteksi Tepi Menggunakan Metode Operator Prewitt dan Kirsch pada Citra Uang Kertas Sulistyo, Wicaksono Yuli; Arifah, Amalina Nur; Pratiwi, Septia Ayu
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 1 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i1.6292

Abstract

The importance of edge detection in image processing, especially on banknote objects, prompted this research to carry out an analysis of two edge detection methods, namely the Prewitt and Kirsch operators. five images of banknotes with different denominations (2000, 5000, 10000, 20000 and 50000) were taken as research objects. The edge detection method is implemented using MATLAB, utilizing both Prewitt and Kirsch operators. Image quality assessment uses PSNR, Histogram and Pixel value parameters. The comparison results show that the Prewitt and Kirsch operators provide optimal edge detection results, producing clear and sharp edges in the banknote image. The edge detection quality assessment was carried out through the PSNR metric, and both showed PSNR values above 30 dB, indicating good quality in terms of clarity and accuracy. Comparison of the Histogram and Pixel values shows that the Kirsch method has a higher Histogram and the Prewitt method has a higher Pixel value.
Evaluasi Tingkat Keamanan Informasi SIA UIN SUKA Berdasarkan Indeks KAMI (Information Security ) 4.0. Muhammad Haedar Zhafran Hidayatullah; Wicaksono Yuli Sulistyo; Septia Ayu Pratiwi
JITU Vol 9 No 1 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i1.1802

Abstract

Informasi adalah asset organisasi yang sangat berharga. Oleh sebab itu informasi menjadi salah satu objek serangan untuk dieksploitasi. Tujuan utama keamanan sistem informasi adalah menjaga 3 (tiga) atribut yaitu kerahasiaan (confidentiality), keutuhan (integrity) dan ketersediaan (availability). UIN Sunan Kalijaga memiliki unit kerja yang mempunyai tugas dan kewajiban untuk mengelola dan memberikan informasi. Perlu dilakukan evaluasi keamanan sistem informasi untuk mendapatkan gambaran kondisi kesiapan dan kematangan keamanan informasi. Indeks keamanan informasi disingkat KAMI adalah alat evaluasi yang dirilis oleh Kementrian Komunikasi dan Informasi yang berfungsi untuk menganalisa tingkat keamanan informasi di instansi. Didapati tingkat kematangan keamanan informasi di UIN Sunan Kalijaga masih tergolong rendah dan butuh perbaikan untuk kekurangan yang ditemukan di sistem manajemen keamanan informasi.
Analisis Perbandingan Tool FTK Imager dan PhotoRec dalam Pemulihan Data Flashdrive Berbasis Metode Statik Forensik Muhammad Immawan Aulia; Panggah Widiandana; Wicaksono Yuli Sulistyo; Siti Hartinah; Muhammad Azam Hasani
JITU Vol 9 No 1 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i1.1814

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas dua tools digital forensik, yaitu FTK Imager dan PhotoRec, dalam proses recovery file dari hasil imaging data. Hasil penelitian menunjukkan bahwa FTK Imager berhasil melakukan recovery secara utuh terhadap enam file audio dan satu file teks, dengan format nama file dan nilai hash yang identik dengan bukti digital asli. Sebaliknya, PhotoRec hanya berhasil melakukan recovery terhadap empat file audio dan satu file teks, dengan dua file audio menunjukkan perbedaan nilai hash dibandingkan dengan aslinya. Temuan ini menunjukkan bahwa FTK Imager memiliki tingkat akurasi dan keandalan yang lebih tinggi dalam proses pemulihan data digital dibandingkan dengan PhotoRec, terutama dalam menjaga integritas data yang direkonstruksi.  
An Exploration of Digital Sentiment and Individual Knowledge as Predictors of Tuberculosis Vaccination Decisions: A Social Media and Survey-Based Study Desy Eliana; Wicaksono Yuli Sulistyo; Muhamad Rosidin
Al Tamimi Kesmas: Jurnal Ilmu Kesehatan Masyarakat (Journal of Public Health Sciences) Vol 14 No 1 (2025): Al-Tamimi Kesmas: Jurnal Ilmu Kesehatan Masyarakat (Journal of Public Health Sci
Publisher : Institut Kesehatan dan Teknologi Al Insyirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35328/kesmas.v14i1.2991

Abstract

Tuberculosis (TB) remains a major communicable disease in Indonesia with consistently high incidence rates, making vaccination a key preventive strategy. However, resistance toward the TB vaccine persists due to limited public knowledge and the influence of negative sentiments circulating on social media. This study aimed to examine the relationship between individual knowledge and vaccination decisions, while also analyzing public sentiment toward the TB vaccine on social media as an early indicator for designing epidemiological interventions. A mixed-methods approach was applied, combining a cross-sectional survey involving 100 respondents—which assessed TB knowledge, exposure to vaccine-related social media content, and BCG vaccination status—with sentiment analysis using the Naive Bayes algorithm on 26 social media posts from Twitter, TikTok, and Instagram. Logistic regression results indicated that higher knowledge about TB (OR = 1.76, 95% CI: 1.17–2.67) and increased exposure to social media content (OR = 1.46) were significantly associated with positive vaccine decision-making. Among the analyzed posts, 53.8% conveyed positive sentiment, 26.9% were neutral, and 19.2% expressed negative views, with positive sentiments predominantly found in educational content shared by healthcare professionals. These findings highlight the alignment between individual knowledge and digital public sentiment in influencing vaccination decisions, underscoring the importance of integrating health education and digital data monitoring in TB prevention effort.
Perancangan Sistem Informasi Manajemen Asosiasi dengan Metode Waterfall dan RBAC di Majelis Diktilitbang Muhammadiyah Rosidin, Muhamad; H., Muhammad Haedar Z.; Sulistyo, Wicaksono Yuli
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 3 (2025): Juli 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i3.2012

Abstract

The Higher Education, Research, and Development Council of Muhammadiyah oversees various associations with diverse activities, yet data management is still conducted manually, making it inefficient and prone to errors. This study aims to develop a web-based association management information system using the Laravel and Filament frameworks. The Waterfall method is applied in the development process, which includes requirements analysis, system design, implementation, testing, and maintenance. The system implements Role-Based Access Control (RBAC) to manage user access rights according to their roles. Key features include data management for associations, members, activity types, and activity history. Black Box testing results show that the system functions according to specifications, and usability evaluation indicates that the system is user-friendly. The developed system significantly improves efficiency, accuracy, and structured management of association activities. In conclusion, this information system provides an effective solution for association management and can be adopted by similar organizations to enhance operational efficiency.
Implementation of Augmented Generation Retrieval Method in Chatbot for Contract Customer Service Automation Rachman, Muhammad Roihan; Rosidin, Muhammad; Sulistyo, Wicaksono Yuli
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4992

Abstract

The rapid advancement of artificial intelligence technology has expanded its applications across various domains, including customer service. Property owners often face challenges in promptly and consistently responding to inquiries from potential tenants, necessitating an automated information service solution. This study aims to implement the Retrieval-Augmented Generation (RAG) method in a chatbot to enhance customer service effectiveness in boarding house management. The research methodology involves developing a RAG-based chatbot prototype that integrates information retrieval from a knowledge database with the generative capabilities of a language model. Experimental results indicate that the application of the RAG method improves the relevance and accuracy of responses provided to prospective tenants. The RAG-based chatbot demonstrates faster response times compared to manual service, thereby reducing the workload on property owners. The implementation of RAG in the chatbot proves effective in automating customer service for boarding houses, offering added value to both property owners and potential tenants through fast, relevant, and easily accessible service.
Rancang Bangun Sistem E-Absensi Web Menggunakan Laravel (Studi Kasus: RSUD Labuha) Lua, Muhammad Febriyan; Sulistyo, Wicaksono Yuli
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4994

Abstract

A common problem in attendance management is the manual system employed at RSUD Labuha, which is prone to inefficiencies, human errors, and difficulties in real-time monitoring. This study aims to address these issues by designing and developing a web-based e-attendance system using the Laravel framework to improve the efficiency and accuracy of employee attendance management. The system is intended to provide an automated solution for digital attendance recording, real-time monitoring, and integrated reporting. The research adopts the Waterfall methodology, which provides a structured and sequential approach to system development. Data collection was conducted through direct observation at RSUD Labuha to identify workflow patterns and system requirements. The system is developed using PHP programming language integrated with the Laravel framework. All functionalities are tested in a localhost environment using Black Box Testing to ensure validity and reliability. The result of this study is a fully functional e-attendance system successfully implemented and tested in the localhost environment. All core features, including digital attendance recording, reporting, and dashboard management, are proven to be operational and effective. The primary limitation of this study is the inability to conduct full-scale implementation and testing in a live hosting environment due to technical and administrative constraints. Nevertheless, this web-based e-attendance system successfully fulfills the research objectives by delivering a deployable digital solution tailored for attendance management at RSUD Labuha. This study contributes a customized system design for the institution, with its architecture and findings serving as a reference for similar future projects.
Peningkatan Kapasitas Pemasaran Digital bagi UMKM melalui Pelatihan Digital Marketing di Perusahaan Celcius Thahira, Agniya; Indani, Farinza Tiara; Eliana, Desy; Rosidin, Muhamad; Sulistyo, Wicaksono Yuli
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7017

Abstract

Pesatnya perkembangan teknologi digital telah menghadirkan peluang sekaligus tantangan bagi Usaha Mikro, Kecil, dan Menengah (UMKM), khususnya dalam hal pemasaran produk. Rendahnya literasi digital, keterbatasan sumber daya, serta kurangnya strategi promosi berbasis teknologi menyebabkan banyak UMKM belum mampu bersaing secara optimal. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas pemasaran digital melalui pelatihan digital marketing pada Perusahaan Celcius, sebuah UMKM di Kabupaten Jember yang bergerak di bidang furniture. Metode yang digunakan meliputi observasi, workshop, praktik pembuatan konten, pendampingan strategi pemasaran, serta evaluasi melalui pre-test dan post-test. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman konsep digital marketing, kemampuan pembuatan konten visual, pengelolaan media sosial secara terstruktur, hingga pemanfaatan iklan digital berbayar dengan anggaran terbatas. Peserta juga mampu menyusun rencana strategi pemasaran jangka pendek yang aplikatif dan sesuai dengan kapasitas perusahaan. Temuan ini menegaskan bahwa pelatihan digital marketing yang terstruktur dan kontekstual mampu meningkatkan literasi digital, memperluas jangkauan pasar, serta memperkuat branding UMKM. Dengan demikian, program ini berpotensi direplikasi pada sektor industri kreatif lainnya guna mendorong transformasi digital UMKM di Indonesia.
Co-Authors Anton Yudhana Arifah, Amalina Nur Aulia, Muhammad Immawan Desy Eliana Desy Eliana H., Muhammad Haedar Z. Hidayatullah, Muhammad Haedar Zhafran Imam Riadi Imam Riadi Indani, Farinza Tiara Khairina Eka Setyaputri Lua, Muhammad Febriyan Muhamad Rosidin Muhammad Azam Hasani Muhammad Haedar Zhafran Hidayatullah Muhammad Immawan Aulia Panggah Widiandana Pratiwi, Septia Ayu Purwanti, Bernadeta Siti Rahayu Rachman, Muhammad Roihan Rosidin, Muhammad Septia Ayu Pratiwi Siti Hartinah Thahira, Agniya Widiandana, Panggah