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All Journal Jurnal Media Infotama Sistemasi: Jurnal Sistem Informasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Menara Ilmu JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Bulletin of Computer Science Research Journal of Education Research Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Sains dan Teknologi Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Indonesian Research Journal on Education Indo Green Journal Jurnal Quancom: Jurnal Quantum Komputer Journal of Information System and Education Development Jurnal Pengabdian Masyarakat Bangsa Indo Green Journal Jurnal TAM (Technology Acceptance Model) Journal of Computer Science Advancements
Hendrik, Billy
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Transformasi Sektor melalui Augmented Reality: Manfaat, Tantangan, dan Masa Depan Strategis Aswandi, Nopan; Hendrik, Billy
Journal of Education Research Vol. 6 No. 1 (2025)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v6i1.2152

Abstract

Augmented Reality (AR) telah berkembang pesat sebagai salah satu teknologi utama dalam era digital, dengan penerapan luas di berbagai sektor seperti pendidikan, kesehatan, industri, dan hiburan. Penelitian ini melakukan tinjauan literatur terhadap 10 jurnal terkini (2023–2024) untuk menganalisis manfaat, tantangan, dan peluang pengembangan AR. Hasil analisis menunjukkan bahwa AR memiliki dampak signifikan, khususnya dalam meningkatkan interaktivitas dan pemahaman pengguna. Di sektor pendidikan, aplikasi AR seperti media pembelajaran tumbuhan mencapai skor usability hingga 79,83%, menunjukkan efektivitasnya dalam meningkatkan keterlibatan siswa. Di bidang pemasaran, AR meningkatkan keputusan pembelian hingga 30% melalui pengalaman promosi interaktif. Di sektor budaya, AR membantu pelestarian lokal, seperti pengenalan Aksara Lampung, dengan skor learnability 4,78/5. Selain itu, dalam infrastruktur, AR meningkatkan efisiensi pekerjaan teknis melalui visualisasi interaktif. Namun, adopsi AR masih menghadapi tantangan berupa biaya pengembangan yang tinggi, keterbatasan perangkat keras, dan kebutuhan desain antarmuka yang ramah pengguna. Sebagian besar pengembangan AR dalam studi ini didukung oleh metode Multimedia Development Life Cycle (MDLC), yang memastikan efektivitas teknis dan relevansi aplikasi dengan kebutuhan pengguna. Penelitian ini merekomendasikan integrasi AR dengan teknologi seperti Artificial Intelligence (AI) dan Internet of Things (IoT) untuk memaksimalkan potensinya. Kajian ini memberikan wawasan strategis bagi peneliti dan praktisi untuk mengoptimalkan penerapan AR dalam berbagai sektor, sehingga mendorong inovasi dan transformasi digital secara global.
Penerapan Algoritme Advanced Encryption Standard (AES-128) untuk Mengamankan File Rekam Medis Pasien Tamin, Zulfiqar; Hendrik, Billy
Jurnal KomtekInfo Vol. 12 No. 1 (2025): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v12i1.592

Abstract

In the era of Industry 4.0, which describes the current trend of digital transformation and advancements in information systems, data and information security is of paramount importance for today's internet users. Data breaches involving patient medical records are among the most damaging incidents, necessitating enhanced security measures. This is the background for the development of this application. The problem analysis conducted by the researchers focuses on data file security. One effective method to enhance the security of your data or files is through encryption, specifically using the AES-128 cryptographic algorithm. Given the critical need for information security today, this research aims to implement cryptography using the AES-128 algorithm for encrypting and decrypting data in file formats. This study is implemented in a Python-based application, enabling users to protect sensitive data files. The data is encrypted, and only those with the application and the encryption key can decrypt or access the files. Several tests on this application have successfully encrypted and decrypted patient medical records in PDF format. The purpose of this application is to provide enhanced security for confidential file contents, ensuring that unauthorized parties cannot access them. The application was tested by encrypting and decrypting files in PDF format, with encryption and decryption times measured in seconds. The conclusion drawn from the AES-128 file encryption and decryption is that the larger the file size, the longer the encryption and decryption processes take
Prototype Mesin Pembuat Minuman Kopi Otomatis Terintegrasi Android Masril, Mardhiah; Nasution, Ayu Lestiani; Zain, Ruri Hartika; Awal, Hasri; Hendrik, Billy
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 1 (2025): Juni 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i1.637

Abstract

Coffee is one of the popular drinks. The Indonesian people drink coffee is a tradition to celebrate togetherness values and strengthen ties of brotherhood between communities. Along with high mobility society, everything is demanded to be instant and efficient. Coffee drinkers can come from various professions, ages and social background. The automatic coffee maker designed to address people's needs for coffee with an efficient serving process. Input on this design are coffee, milk and sugar where these ingredients can be processed into several types drinks that can be chosen are based on coffee. Design and construction of a microcontroller and android based coffee making equipment devices used to support the system these include the Arduino Mega 2560 as a microcontroller, servo and DC motor as an actuator, DS18B20 sensor as a water temperature reader, solenoid valve to drain the flow, and LCD for displays the coffee selection menu. The payment medium used in this coffee drink making tool is QR-code as practical, easy and responsive transaction. This tool could be an alternative that can be implemented by coffee drinkers or enthusiasts can enjoy coffee at the bus stop instantly just by using their personal Android.
Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms Ikhlas, Ariza; Hendrik, Billy
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5163

Abstract

Waste type classification remains a daily challenge in modern waste management. Proper waste classification contributes significantly to environmental protection and enhances the efficiency of the recycling process. Unfortunately, manual waste classification is rarely performed by individuals, resulting in mixed waste that is difficult to separate into recyclable and non-recyclable categories. This leads to increased waste accumulation, which becomes harder to process over time. Therefore, automating this procedure using computer vision is of critical importance. This study adopts a Systematic Literature Review (SLR) methodology to analyze existing research conducted by previous scholars. The main objectives are to identify the most appropriate algorithms for waste type classification, determine the most suitable model architectures, and examine the correlation between dataset size, number of classes, and classification accuracy. The results of the literature review show that the Convolutional Neural Network (CNN) algorithm is widely used and considered highly effective for computer vision tasks. Among the best-performing models are: A standard CNN architecture achieving 100% accuracy with 150 data points and 3 classes, CNN with ResNet50 model achieving 99.41% accuracy on 2,527 data points and 6 classes, A combination of ResNet, k-Nearest Neighbors (kNN), and Neighborhood Component Analysis (NCA) achieving 99.35% accuracy on 13,089 data points and 1,672 classes, CNN with CapSA ECOC + ANN model reaching 99.01% accuracy on 1,515 data points and 12 classes. These findings indicate that numerous prior studies have successfully developed high-accuracy models for waste classification, which can serve as a solid foundation for building computer vision systems to automate the waste sorting process.
PENERAPAN MACHINE LEARNING UNTUK MENDETEKSI SERANGAN ANOMALI DALAM JARINGAN KOMPUTER : SYSTEMATIC LITERATURE REVIEW Gevindo, Aprilian; Hendrik, Billy
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13746

Abstract

Jaringan komputer berperan krusial dalam berbagai aspek kehidupan di era digital. Serangan siber dengan sifat anomali mengancam stabilitas sistem, baik dalam dunia bisnis maupun bagi individu. Teknik deteksi anomali diperlukan untuk mengidentifikasi aktivitas mencurigakan yang berpotensi mengganggu operasional sistem. Penelitian ini merupakan kajian literatur sistematis yang membahas penerapan machine learning dalam mendeteksi serangan anomali pada jaringan komputer. Fokus kajian ini berangkat dari meningkatnya kebutuhan keamanan siber di berbagai sektor, termasuk kesehatan, keuangan, pendidikan, dan pemerintahan. Machine learning dipilih karena kemampuannya mengenali pola dari data historis, sehingga meningkatkan akurasi dalam deteksi anomali secara adaptif. Hasil tinjauan terhadap penelitian sebelumnya membuktikan bahwa machine learning efektif dalam mengidentifikasi serangan anomali. Beragam algoritma yang telah diterapkan menunjukkan kemampuan dalam menghadapi ancaman keamanan jaringan yang tidak terduga.
Perbandingan Framework COBIT2019 dan TOGAF dalam Manajemen Keamanan Informasi Nugraha, Fajri; Hendrik, Billy
Journal of Education Research Vol. 6 No. 2 (2025)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v6i2.2156

Abstract

Manajemen Keamanan Informasi (Information Security Management) adalah salah satu aspek penting dalam mendukung organisasi di era digital. Penelitian ini bertujuan untuk mengevaluasi efektivitas, kesesuaian, dan cakupan masing-masing framework dalam mendukung standar manajemen keamanan informasi. Framework seperti COBIT2019 dan TOGAF menawarkan pendekatan yang berbeda tetapi saling melengkapi untuk penerapan standar keamanan informasi. Analisis tersebut didasarkan pada literatur review, tinjauan teori, dan implementasi di berbagai organisasi. Penelitian diharapkan dapat membantu organisasi memilih dan mengintegrasikan framework yang paling sesuai dengan kebutuhan dan situasi organisasi. Studi ini juga membantu meningkatkan pemahaman teoritis dan praktis tentang penerapan standar manajemen keamanan informasi berbasis framework.
DAMPAK TEKNOLOGI INFORMASI TERHADAP KECERDASAN EMOSIONAL SISWA SMP: STUDI PERBANDINGAN TAHUN 2016 DAN 2024 Sani, Fadhila Putri; Hendrik, Billy
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3156

Abstract

Abstract: Information technology (IT) has experienced rapid development in recent years, significantly impacting various aspects of life, including education and students' emotional development. This study aims to compare the impact of information technology on the emotional intelligence of Junior High School (SMP) students in 2016 and 2024. This research employs a quantitative method with a survey approach involving 400 junior high school students from the two periods. The findings indicate significant differences in self-awareness, emotion management, empathy, and social skills between the two periods. Although IT has provided benefits in enhancing access to information and communication skills, negative impacts such as reduced direct social interaction and increased digital stress were also identified. This study highlights the importance of adaptive educational strategies to optimize the role of IT in students' emotional intelligence development. Keyword: Information Technology; Emotional Intelligence; Junior High School Students; Comparison of 2016 and 2024 Abstrak: Teknologi informasi (TI) telah mengalami perkembangan pesat dalam beberapa tahun terakhir, memberikan pengaruh yang signifikan terhadap berbagai aspek kehidupan, termasuk pendidikan dan perkembangan emosional siswa. Studi ini bertujuan untuk membandingkan dampak teknologi informasi terhadap kecerdasan emosional siswa Sekolah Menengah Pertama (SMP) pada tahun 2016 dan 2024. Penelitian ini menggunakan metode kuantitatif dengan pendekatan survei terhadap 400 siswa SMP dari dua periode waktu tersebut. Hasil penelitian menunjukkan bahwa terdapat perbedaan signifikan dalam aspek kesadaran diri, manajemen emosi, empati, dan keterampilan sosial siswa antara kedua periode tersebut. Meskipun TI memberikan manfaat dalam meningkatkan akses informasi dan keterampilan komunikasi, dampak negatif seperti penurunan interaksi sosial langsung dan peningkatan stres digital juga teridentifikasi. Studi ini menyoroti pentingnya strategi pendidikan yang adaptif untuk mengoptimalkan peran TI dalam perkembangan kecerdasan emosional siswa. Kata kunci: Teknologi Informasi; Kecerdasan Emosional; Siswa SMP; Perbandingan 2016 dan 2024
PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK SEGMENTASI BERDASARKAN KESIAPAN SELEKSI: SYSTEMATIC LITERATUR REVIEW Muhammad, Imam Fakhri; Hendrik, Billy
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3153

Abstract

Abstract: The application of the K-means clustering algorithm as an innovative method for readiness segmentation, enabling the grouping of individuals based on their preparedness in the selection process. With the background issue of the lack of systematic methods to identify individual readiness, this study aims to develop an effective segmentation model using K-Means. The research method involves collecting relevant data and applying the K-Means algorithm to identify optimal clusters. The results show that the K-Means algorithm successfully grouped individuals into clusters according to their selection readiness, providing strategic insights for decision-makers in conducting a more accurate and efficient selection process. This study makes a significant contribution to the development of more targeted and effective selection strategies. Keyword: Selection Strategy; Readiness-Based Grouping; Data Clustering. Abstrak: Penerapan algoritma K-means clustering sebagai metode inovatif untuk segmentasi kesiapan seleksi, yang memungkinkan pengelompokan individu berdasarkan kesiapan mereka dalam proses seleksi. Dengan latar belakang permasalahan kurangnya metode sistematis untuk mengidentifikasi kesiapan individu, penelitian ini bertujuan untuk mengembangkan model segmentasi yang efektif menggunakan K-Means. Metode penelitian melibatkan pengumpulan data relevan dan penerapan algoritma K-Means untuk mengidentifikasi cluster yang optimal. Hasil penelitian menunjukkan bahwa algoritma K-Means berhasil mengelompokkan individu ke dalam cluster yang sesuai dengan kesiapan seleksi mereka, memberikan wawasan strategis bagi pengambil keputusan dalam proses seleksi yang lebih akurat dan efisien. Penelitian ini memberikan kontribusi signifikan dalam pengembangan strategi seleksi yang lebih tepat sasaran dan efektif. Kata kunci: Strategi Seleksi; Pengelompokan Berdasarkan Kesiapan; Klasterisasi Data. 
ON LINE TICKET SALES RESERVATION SYSTEM AT PO. SRIWIJAYA BENGKULU Supperianto, Bambang; Hendrik, Billy; Arlis, Syafri
Jurnal TAM (Technology Acceptance Model) Vol 16, No 1 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i1.1795

Abstract

The development of science and technology along with the times can support all activities carried out by humans. A computer is a set of electronic devices that are largely composed of hardware and software that work together in processing data provided or entered by the user. Computers have many features, namely being able to process data that are numbers, letters, images, sounds, symbols, and others. With computer technology, data processing will be easier and more efficient so that users do not need a long time to process data. PO. Sriwijaya Bengkulu is one of the service companies engaged in transportation. However, the processing of sales and purchase administration data at PO. Sriwijaya Bengkulu in booking tickets for this company is still using a manual system which makes it difficult for consumers to be able to order tickets so that consumers have to come to PO. Sriwijaya Bengkulu directly to do the ticket booking process. This research aims to create a new booking system that uses PHP software and MySQL database connected to internet technology at PO. Sriwijaya Bengkulu, so that booking tickets is easier and wider. The result of this research is an online sales system that is often called a reservation that can be accessed easily and efficiently.
Tinjauan Literatur Sistematik Metode pada Sistem Pakar dalam Mendiagnosis Penyakit Mental Raharjo, Tio Doli; Hendrik, Billy
Journal of Education Research Vol. 6 No. 4 (2025)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v6i4.2162

Abstract

Sebagai masalah yang kompleks di seluruh dunia, penyakit mental membutuhkan solusi inovatif untuk diagnosis dan perawatan yang lebih baik. Salah satu metode yang menguntungkan adalah penggunaan sistem pakar, yaitu jenis kecerdasan buatan yang memiliki kemampuan untuk meniru proses pengambilan keputusan manusia. Melalui Systematic Literature Review (SLR) ini, efektivitas dari metode-metode yang digunakan dalam pembuatan sistem pakar untuk diagnosis penyakit mental. Studi ini mengidentifikasi berbagai metode Certainty Factor, Fuzzy Logic dan Tsukamoto, Decision Tree, Teorema Bayes, Dempster Shafer, Forward Chaining, Backward Chaining dan Rule Based System dengan memanfaatkan 12 artikel yang memenuhi Quality Assesment. Hasilnya menunjukkan bahwa metode-metode ini mampu memberikan diagnosis yang sangat akurat. Namun, masalah seperti kebutuhan akan data berkualitas tinggi dan interpretabilitas hasil harus diselesaikan. Selain itu, penelitian ini memberikan saran peluang pengembangan penelitian selanjutnya seperti mengintegrasikan dua buah untuk meningkatkan akurasi, efisiensi, dan aksesibilitas diagnosis penyakit mental.
Co-Authors A'yuni, Qurrata Abdi Juliantho, Dwana Abdi Julianto, Dwana Ade saputra Akbar, Syifa Chairunnissa Deliva Amin Amirul Mukminin, Andi Amri, Yassirli Andi, Muhammad Yusril Haffandi Arby, Willya Aswandi, Nopan Awal, Hasri Budiantoro, Hendro Deti Karmanita Dian Maharani, Dian Febby Olivia, Ladyka Firdaus Firdaus Gevindo, Aprilian Gunadi Widi Nurcahyo Haffandi, Muhammad Yusril Hasibuan, Elpina Sari Dewi Ikhlas, Ariza Indhira, Sonia Karseno, Doni Lubis, Fitri Amelia Sari Lubis, Siti Sahara Mardhiah Masril Muhammad, Imam Fakhri Nasution, Ayu Lestiani Nugraha, Fajri Olivia, Ladyka Febby Raharjo, Tio Doli Resnawita Ridwan, Ridwan Ritna Wahyuni Ruri Hartika Zain Rusydi, Rezki Sahara Lubis, Siti Sani, Fadhila Putri Sari, Ade Puspita Sarjon Defit Sonia Indhira Sovia, Rini Subarja, Roy Efendi Sukardi Sukardi Sumijan Supperianto, Bambang Suri, Melati Rahma Sutri, Ridwan Syafri Arlis Tamin, Zulfiqar Vidyanti, Angela Waruwu, Kalfinus Wira, M Wira Sanjaya Wirdawati, Wira Yuhandri Yuhandri, Y