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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL SISTEM INFORMASI BISNIS Jurnal Peternakan Integratif Elkom: Jurnal Elektronika dan Komputer Journal of Education and Learning (EduLearn) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization AdBispreneur Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Informatika Aptisi Transactions on Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mnemonic Journal Sensi: Strategic of Education in Information System Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Bumigora Information Technology (BITe) Aiti: Jurnal Teknologi Informasi Infotech: Journal of Technology Information Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Applied Research (IJAR) Journal of Applied Data Sciences JOINTER : Journal of Informatics Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal of Information Technology (JIfoTech) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Jurnal Algoritma Nusantara of Engineering (NOE) Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal INFOTEL SmartComp Jurnal Indonesia : Manajemen Informatika dan Komunikasi Blockchain Frontier Technology (BFRONT) Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Irwan Sembiring
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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A Prototype of Decentralized Applications (DApps) Population Management System Based on Blockchain and Smart Contract Saian, Septovan Dwi Suputra; Sembiring, Irwan; Manongga, Daniel H. F.
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1861

Abstract

The Indonesian population reached 270,20 million in 2020. Each resident is equipped with various secret identities. The COVID-19 pandemic has made all activities use technology as a basis, causing residents' identities to be stored digitally. Some applications that keep these identities experience data leaks. However, with the advent of Web3 and its emphasis on decentralization through blockchain, a new era of secure data management is possible. Blockchain, with its inherent security features, ensures that data stored is secure, difficult to damage or lose due to mutual consensus. Every transaction is recorded, making it easy to carry out the audit process. Therefore, this research will design and implement prototype dApps for secure population management, leveraging the superior security of blockchain technology. The initial stage of research is to conduct a literature study. Furthermore, it is to create designs such as system, infrastructure, and activity diagrams. Then do the development of the dApps prototype. The last is testing using OWASP ZAP and cost analysis. A dApps prototype was implemented on a blockchain. Every transaction is recorded and publicly viewable through the Etherscan platform. Other data stored on a blockchain have gone through an AES-256 encryption process with the data owner's account key so that the owner can only see the data. The results of the tests performed show that there is no high-level warning. The cost analysis results show that the most used costs are when deploying smart contracts and making new data. For further development, it is implementing permissionless blockchain and multi-accounts.
The role of gamification implementation in improving quality and intention in software engineering learning Wahyuningsih, Tri; Sediyono, Eko; Hartomo, Kristoko Dwi; Sembiring, Irwan
Journal of Education and Learning (EduLearn) Vol 18, No 1: February 2024
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v18i1.20823

Abstract

Gamification can make learning more fun and engaging for students. Software engineering can utilize gamification to help students learn and improve their skills from the complexity of software engineering. This study used quantitative research to examines perceived ease of use, student satisfaction, and perceived usefulness to measure gamification quality, which can have an impact on software engineering intention, namely intention, loyalty, and participation in following and understanding software engineering materials. The data was collected based on an online questionnaire survey, 90 data were collected and then measured and analyzed using SmartPLS 3. The results showed that perceived ease of use, student satisfaction, and perceived usefulness have a significant influence on gamification quality, which also leads to a positive impact on software engineering intention. This research guides teachers and educational institutions that gamification is very successful as a learning medium to simplify complex information to be more interactive.
Analysis of Attack Detection on Log Access Servers Using Machine Learning Classification: Integrating Expert Labeling and Optimal Model Selection Ridwan, Mohammad; Sembiring, Irwan; Setiawan, Adi; Setyawan, Iwan
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.49424

Abstract

Purpose: As the complexity and diversity of cyberattacks continue to grow, traditional security measures fall short in effectively countering these threats within web-based environments. Therefore, there is an urgent need to develop and implement innovative, advanced techniques tailored specifically to detect and address these evolving security risks within web applications.Methods: This research focuses on analyzing attack detection in log access servers using machine learning classification with two primary approaches: expert labeling integration and best model selection. Expert labeling determines whether log entries are safe or indicate an attack.Result: Validation in labeling was applied using different datasets to minimize errors and increase confidence in the resulting dataset. Experimental results show that the Decision Tree and Random Forest models have nearly identical accuracy rates, around 89.3%-89.4%, while the ANN model has an accuracy of 81%.Novelty: This study proposes a fusion of expert knowledge in labeling log entries with a rigorous process of selecting the best classification model. This integration has not been extensively explored in previous research, offering a novel approach to enhancing attack detection within web applications. The research contribution lies in the integration of expert security assessment and the selection of the best model for detecting attacks on server access logs, along with validating labels using various datasets from different log devices to enhance confidence in the analysis results.
Exploring Alternative Approaches for TwitterForensics: Utilizing Social Network Analysis to Identify Key Actors and Potential Suspects Sembiring, Irwan; Iriani, Ade; Suharyadi, Suharyadi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 7 No 2 (2023): August 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v7i2.18894

Abstract

SNA (Social Network Analysis) is a modeling method for users which is symbolized by points (nodes) and interactions between users are represented by lines (edges). This method is needed to see patterns of social interaction in the network starting with finding out who the key actors are. The novelty of this study lies in the expansion of the analysis of other suspects, not only key actors identified during this time. This method performs a narrowed network mapping by examining only nodes connected to key actors. Secondary key actors no longer use centrality but use weight indicators at the edges. A case study using the hashtag "Manchester United" on the social media platform Twitter was conducted in the study. The results of the Social Network Analysis (SNA) revealed that @david_ornstein accounts are key actors with centrality of 2298 degrees. Another approach found @hadrien_grenier, @footballforall, @theutdjournal accounts had a particularly high intensity of interaction with key actors. The intensity of communication between secondary actors and key actors is close to or above the weighted value of 50. The results of this analysis can be used to suspect other potential suspects who have strong ties to key actors by looking.
Uji Perbandingan Akurasi Analisis Sentimen Pariwisata Menggunakan Algoritma Support Vector Machine dan Naive Bayes Susanti, Novita Dewi; Sediyono, Eko; Sembiring, Irwan
Nusantara of Engineering (NOE) Vol 3 No 2 (2016)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v3i2.12338

Abstract

Analisis sentimen saat ini banyak digunakan sebagai bahan untuk mengetahui opini masyarakat tentang suatu hal. Dengan menggunakan analisis sentimen kita dapat mengklasifikasikan data apakah data tersebut termasuk opini positif atau opini negatif. Paper ini membahas analisis sentimen untuk mengukur tingakat akurasi dari opini masyarakat pada suatu tempat wisata di Jawa Tengah dengan metode Naive Bayes dan Support Vektor Machine yang berguna untuk mengetahui nilai akurasi yang manakah yang lebih bagus dari dua metode yang digunakan tersebut. Ada beberapa metode yang bisa digunakan untuk mengklasifikasikan opini tersebut, namun dalam paper ini dipilih metode Support Vektor Machine dan metode Naive Bayes dengan alasan metode tersebut adalah metode yang paling banyak digunakan saat ini karena dapat menghasilkan nilai akurasi yang tinggi dari penelitian sebelumnya. Hasil yang didapatkan dari penelitian ini adalah berupa data perbandingan Precision, Recall dan Akurasi. Hasil precision pada NB adalah 65,97%, pada SVM 87,25%. Nilai Recall pada NB adalah 96,39%, pada SVM 80,60%. Nilai akurasi yang didapatkan pada NB 65,78%, pada SVM 76,47% Kata Kunci : Analisis sentimen, opini, klasifikasi, metode, Suport Vektor Machine, Naive Bayes, akurasi
Consortium Blockchain Framework for Secure Digital Medical Record Innovation Sembiring, Irwan; Aji, Bintang Kristianto; Bayu, Teguh Indra
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 1 (2026): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i1.777

Abstract

Healthcare systems face growing challenges in protecting patient information, with more than 276 million healthcare records breached in 2024 alone. This study presents a proof-of-concept consortium blockchain framework that integrates Near Field Communication (NFC) based authentication with smart contract driven consensus to securely verify and synchronize Electronic Medical Records (EMRs) across multiple healthcare facilities. The system was tested in a simulated network of three Virtual Private Servers, achieving an average NFC verification time of 2.9 seconds and a consensus propagation time of 0.4 seconds, demonstrating stable performance suitable for near-real-time operations.Although these results are promising, the evaluation was limited to synthetic datasets, small-scale network conditions,and basic database security configurations. Future work will focus on scaling the system to larger and more diverse networks, strengthening cybersecurity measures, and ensuring full compliance with HIPAA and GDPR standards. By supporting the United Nations’3rd Sustainable Development Goal on Health and the 9th Sustainable Development Goal on Infrastructure and Innovation, this research contributes to the development of secure, interoperable, and sustainable healthcare information systems.
Tsunami Vulnerability and Risk Assessment in Banyuwangi District using machine learning and Landsat 8 image data Gallen cakra adhi wibowo; Sri Yulianto Joko Prasetyo; Irwan Sembiring
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i2.2677

Abstract

The tsunami is a disaster that often occurs in Indonesia, there are no valid indicators to assess and monitor coastal areas based on functional land use and based on land cover which refers to the biophysical characteristics of the earth's surface. One of the recommended methods is the vegetation index. Vegetation index is a method from LULC that can be used to provide information on how severe the impact of the tsunami was on the area.In this study, an increase in the vegetation index was carried out using machine learning. The purpose of this study was to develop a tsunami vulnerability assessment model using the Vegetation Index extracted from Landsat 8 satellite imagery optimized with KNN, Random Forest and SVM. The stages of study, are: 1)extraction Landsat 8 images using algorithms NDVI, NDBI, NDWI, MSAVI, and MNDWI; 2) prediction of vegetation indices using KNN, Random Forest, and SVM algorithms. 3) accuracy testing using the MSE, RMSE, and MAE,4) spatial prediction using the Kriging function and 5) tsunami modelling vulnerability indicators. The results of this study indicate that the NDVI interpolation value is 0 - 0.1 which is defined as vegetation density, biomass growth, and moderate to low vegetation health. the NDWI value is 0.02 - 0.08 and the MNDWI value is 0.02 - 0.09 which is interpreted as the presence of surface water along the coast. MSAVI is a value of 0.1 – 0 which is defined as the absence of vegetation. The NDBI interpolation value is -0.05 - (-0.08) which is interpreted as the existence of built-up land with social and economic activities. From the results of research on the 10 areas studied, there are 3 areas with conditions that have a high level of tsunami vulnerability. 2 areas with medium vulnerability and 5 areas with low vulnerability to tsunami.
Analisis dan Desain Model UI/UX untuk Pengguna Manusia Lanjut Usia dalam Transformasi Bisnis Pertanian Digital Herdin Yohnes Madawara; Irwan Sembiring; Budhi Kristianto
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1199

Abstract

Digital agriculture faces challenges, namely in integrating Elderly People (SENIORS) in digital transformation. The purpose of the study is to analyze and design UI/UX models according to user needs, expectations, and challenges. The method used is the Design Thinking approach which begins with literature study, then interviews are conducted to identify problems faced by users, and analyze the need to determine problem priorities. UI/UX prototypes are carried out to design solutions that suit user needs, and evaluations are carried out to collect user feedback. The data is assessed through the System Usability Scale (SUS) approach to appraise the designed user interface (UI). The evaluation results showed a "good" rating based on the SUS category, with a final average score of 74,391, so that the solutions designed meet usability standards for SENIORS users in the context of digital agriculture. Thus, the research carried out contributes to increasing the effectiveness and adoption of SENIORS in digital agriculture, as well as by designing user-friendly UI/UX models, making an important step towards inclusive and sustainable digital agriculture.
ANALISIS KESIAPAN TATA KELOLA DAN INVESTASISISTEM INFORMASI Kusumajaya, Robby Andika; Sembiring, Irwan; Iriani, Ade
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 8, No 2 (2019): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v8i2.1486

Abstract

Teknologi informasi menjadi salah satu bagian penting dalam perusahaan yang memberikan manfaat untuk meningkatkan efisiensi dan efektifitas proses bisnis, terutama di sektor pendidikan. Tujuan penelitian ini adalah menghasilkan rekomendasi mengenai kesiapan tata kelola teknologi informasi tepat gunadan investasi yang layak diimplementasikan pada Perguruan Tinggi XYZ. Permasalahan yang muncul disebabkan karena belum ada proses pemeriksaan mengenai kesesuaian standart sistem dan kesulitan dalam menghitung costbenefit yang diperoleh dari investasi sistem informasi. Penelitian ini menggunakan framework COBIT 5.0 domain DSS01, bertujuan memberikanrekomendasi tata kelola teknologi informasi pada bagian manage operation dan metode Information Economics untuk melakukan analisis manfaat investasi. Pengumpulan data dilakukan wawancara denganHead IT Operation dan beberapa staff. Hasil penelitian menggunakan COBIT5.0 domain DSS01, menunjukkan bahwa prosesmonitoring operasional yang diimplementasikan belum sepenuhnya dijalankan, yaitu sebesar 81%. Hasil analisis metode Information Economic, dampak ekonomis Enchanced ROImenyatakan bahwa nilai persentase simpleReturn on Investment sebesar 145,66% atau dengan skor 1, menunjukkan bahwa investasi ini memberikan keuntungan bagi perusahaan walaupun tidak besar.Kata Kunci: SistemInformasi, Tata Kelola, COBIT 5.0, Information Economics.
Pelatihan OBS untuk Peningkatan Mutu Layanan Streaming Ibadah Di GKI Tegalrejo Salatiga Suharyadi; Teguh Indra Bayu; Irwan Sembiring
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025)
Publisher : Universitas Kristen Satya Wacana Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/jms.v5i32025p302-311

Abstract

Pandemi COVID-19 telah mengubah cara gereja menyampaikan pelayanan ibadah kepada jemaatnya. Salah satu upaya adaptasi yang dilakukan oleh GKI Tegalrejo Salatiga adalah menyediakan layanan streaming ibadah agar jemaat tetap dapat mengikuti ibadah secara daring. Namun, kualitas teknis penyiaran menjadi tantangan utama, sehingga diperlukan pelatihan penggunaan perangkat lunak Open Broadcaster Software (OBS) untuk meningkatkan mutu layanan streaming. Artikel ini melaporkan hasil kegiatan pengabdian masyarakat yang berfokus pada pelatihan OBS untuk tim multimedia gereja. Pelatihan ini mencakup pengenalan fitur OBS, teknik pengaturan kamera, audio, dan tata letak visual yang mendukung siaran yang lebih berkualitas. Hasil dari pelatihan menunjukkan peningkatan signifikan dalam kualitas streaming ibadah, baik dari segi tampilan visual, kestabilan siaran, maupun pengelolaan sumber daya teknis oleh tim multimedia.
Co-Authors Abas Sunarya, Po Ade Iriani Adi Setiawan Adriyanto Juliastomo Gundo Agus Sugiarto Agustinus, Ari Aji, Bintang Kristianto Andriana, Myra April Lia Hananto Apriliasari, Dwi Ardaneswari, Awanda Arthur, Christian Astawa, I Wayan Aswin Dew Ayu Sanjaya, Yulia Putri Bayu Setyanto Pamungkas Bayu, Teguh Indra Budhi Kristianto Budhi Kristianto Budi Santoso Budi, Reza Setya Cahyaningtyas, Christian Daniawan, Benny Danny Manongga Danny Sebastian Dedy Prasetya Kristiadi Dwi Hosanna Bangkalang Dwi Setiawan Edi Suharyadi Efendy, Rifan Eka Purnama Harahap Eko Sediono Eko Sediyono Eleazer Gottlieb Julio Sumampouw Elmanda, Vonda Erick Alfons Lisangan Esti Zakia Darojat Evangs Mailoa Evi Maria Faisal Hakim Amrullah Faturahman, Adam Fauzi Ahmad Muda Fian Yulio Santoso Florentina Tatrin Kurniati Gallen cakra adhi wibowo Gerry Santos Lasatira Ginting, Jusia Amanda Girinzio, Iqbal Desam Gudiato, Candra Hamdan . Hasnudi . Henderi Henderi . Hendry Hendry, - Henuk, Yusuf Leonard Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Huda, Baenil Ignatius Agus Supriyono Ilham Hizbuloh Indrastanti Ratna Widiasari Iwan Setiawan Iwan Setiawan Iwan Setyawan Joko Listiawan Sukowati Joko Siswanto Jonas, Dendy Julians, Adhe Ronny Juneth Manuputty Krismiyati Kristoko D Hartomo Kristoko Dwi Hartomo Kusumajaya, Robby Andika Limbong, Josua Josen Alexander Manongga, Daniel H.F Manongga, Daniel H.F. Manongga, Daniel HF Marsyel Sampe Asang Marvelino, Matthew Mau, Stevanus Dwi Istiavan Maya Sari Merryana Lestari Migunani Migunani Mira Mira Mira Mohammad Ridwan Muhamad Yusup Nanle, Zeze Nazmun Nahar Khanom Nina Setiyawati Ninda Lutfiani Nining Fitriani Nugroho, Samuel Danny Nuryadi, Didik Nurzainah Ginting Pamungkas, Bayu Setyanto Phillnov Yohanes Pinontoan Pinontoan, Phillnov Yohanes Priatna , Wowon Purbaratri, Winny Purnomo, Hidriyanto Dwi Putra, Yonathan Rahadi Qurotul Aini Qurotul Aini R. Suharyadi Rahardja.,M.T.I.,MM, Dr. Ir. Untung Raymond Elias Mauboy Rimes Jopmorestho Malioy Roy Rudolf Huizen Saian, Septovan Dwi Suputra Sandry Lanovela Pasaribu Santoso, Nuke Puji Lestari Sediyono, Eko - Setiawan Hakim Sri Ngudi Wahyuni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Joko Prasetyo Suharyadi Sulistio Sulistio Sumampouw, Eleazer Gottlieb Julio Supriadi, Candra Susanti, Novita Dewi Sutarto Wijono Suwijo Danu Prasetyo Teguh Indra Bayu Teguh Wahyono Theopillus J. H. Wellem Tintien Koerniawati Tio Nurtino Tirsa Ninia Lina Tomasoa, Lyonly Tri Wahyuningsih Tri Wahyuningsih Tukino, Tukino Untung Rahardja Untung Rahardja Wibowo, Mars Caroline Wijaya, Angga Zakharia Wiwien Hadikurniawati Yerik Afrianto Singgalen Yessica Nataliani Yohan Maurits Indey Yohnes Madawara, Herdin Yulian Hany Makaruku