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All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Fitopatologi Indonesia Buletin Hama dan Penyakit Tumbuhan Jurnal Agrista JIK Jurnal Ilmu Komputer Microbiology Indonesia BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Ilmu Komputer dan Agri-Informatika Teodolita: Media Komunikasi Ilmiah di Bidang teknik Seminar Nasional Informatika (SEMNASIF) Jurnal Perlindungan Tanaman Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Informatika Universitas Pamulang Eduscience : Jurnal Ilmu Pendidikan Jurnal Pengabdian Masyarakat AbdiMas Astonjadro IKRA-ITH ABDIMAS AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM JUTEKIN (Jurnal Manajemen Informatika) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Generation Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Teknologi dan Sistem Tertanam Devotion: Journal of Research and Community Service Jurnal Minfo Polgan (JMP) Journal of Social Research Ilmu Komputer untuk Masyarakat Jurnal Locus Penelitian dan Pengabdian IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Media Abdimas Jurnal penelitian jalan dan Jembatan Asian Journal of Social and Humanities Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) Jurnal Pengabdian kepada MASyarakat (J-PMAS) Innovative Research in Civil and Environmental Engineering (IRCEE) Global Insights in Management and Economic Research
Budi Tjahjono
UNIVERSITAS ESA UNGGUL
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LITERATURE REVIEW OPTIMALISASI PENGELOLAAN SUMBER DAYA DAN MITIGASI RISIKO MELALUI BUSINESS INTELLIGENCE: PENDEKATAN STRATEGIS Siregar, Sarah Veronica; Tjahjono, Budi; Nurjannah, Nurjannah; Basyarewan, Humairoh
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1285

Abstract

Rapid business developments require organizations to be smarter in managing resources and reducing risks in order to remain competitive. This study aims to explore the strategic role of Business Intelligence (BI) in helping organizations achieve these goals. Through a comprehensive literature review, this study analyzes various BI tools and techniques used to optimize resources, such as labor, finance, and materials, and identify risks early. The results show that BI can improve operational efficiency by providing data-based insights, supporting better decision-making, and proactively mitigating risks. BI can help organizations monitor financial data in real time to prevent the risk of loss, or predict energy needs to prevent waste. In addition, a strategic approach to implementing BI, such as choosing the right tools and involving leaders, is a key factor in success. This study concludes that BI has great potential to help organizations become more resilient and efficient, while providing practical guidance for companies that want to use BI to manage resources and risks effectively.
PELATIHAN HAK CIPTA MOTIF BATIK PEKALONGAN GUNA MEMBANGUN KESADARAN DAN PERLINDUNGAN INOVASI BATIK PEKALONGAN Tjahjono, Budi; Anwar, Nizirwan; Anggara, Binastya; Yulhendri, Yulhendri; Arfian, Muhammad Hadi
JURNAL PKM IKA BINA EN PABOLO Vol 5, No 1: PENGABDIAN KEPADA MASYARAKAT | JANUARI 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ikabinaenpabolo.v5i1.6817

Abstract

Batik merupakan warisan budaya asli Indonesia yang harus dilestarikan. Kesadaran dan pemahaman hak cipta harus ditingkatkan. Pekalongan ditetapkan sebagai kota kreatif dan sebagai kiblat industry Batik.  Motif batik Pekalongan masih belum banyak didaftarkan hak cipta, seringkali saling tiru antara motif satu dengan lainnya. Workshop dan sosialisasi , peserta akan diberikan pengetahuan, ketrampilan dalam mendaftarkan jenis-jenis HAKI yang berkaitan dengan industry batik. Peserta adalah UMKM Batik sekitar Pekalongan. Target peserta 40 orang pelaku UMKM batik. Disamping  prosedur pendaftaran, hak, manfaat yang diperoleh jika HAKI terdaftar. Dari pelatihan ini diharapkan para pengrajin batik dapat meningkatkan kesadaran dan melindungi kekayaan intelektualnya, memajukan industry batik, meningkatkan nilai jual produk. Kata Kunci: hak cipta, HAKI, UMKM, batik, Pekalongan
PENGENALAN TEKNOLOGI BLOCKCHAIN DAN PERKEMBANGANNYA BAGI MASA DEPAN Irawan, Bambang; Juman, Kundang Karsono; Tjahjono, Budi
Jurnal Pengabdian kepada Masyarakat (J-PMas) Vol. 1 No. 2 (2022): Jurnal Pengabdian Kepada Masyarakat (J-PMas)
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37606/j-pmas.v1i2.21

Abstract

Pengabdian Kepada Masyarakat (PkM) ini bertujuan untuk memaparkan isu-isu tentang Teknologi Blockchain dan perkembangannya di masa depan pada masyarakat luas serta seluruh mahasiswa-mahasiswi Universitas Persada Indonesia YAI dan Universitas Esa unggul pada khususnya. Pelaksanaan kegiatan pengabdian masyarakat berbentuk seminar yang dilakukan secara Daring. Metode yang digunakan berupa Ceramah dan sesi tanya jawab. Alat yang digunakan adalah ZOOM. Pelaksanaan berlangsung dalam empat tahap yaitu Persiapan materi, pra-aktivasi, pelaksanaan, dan pelaporan PKM. Outcome yang diharapkan dari PkM ini adalah peserta Mengenal lebih jauh tentang perkembangan teknologi blockchain serta implementasinya di berbagai bidang, terutama di era Industri generasi ke-4. Ada banyak startup yang mendigitalisasikan perusahaan berdasarkan teknologi baru yang disebut blockchain. Ini adalah teknologi terdistribusi dan peer-to-peer. Cryptocurrency adalah salah satu produk dari teknologi ini. Pada titik ini, cryptocurrency telah menjadi sarana barter. Kegiatan PkM ini diikuti oleh 115 peserta baik dari kalangan umum maupun mahasiswa serta beberapa orang dosen Universitas Esa unggul dan Universitas Persada Indonesia YAI.
Assessment of the level of student understanding in the distance learning process using Machine Learning Widiasti, Adilah; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 6 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i6.272

Abstract

As technology develops, data mining technology is created which is used to analyse the level of understanding of students. This analysis is conducted to group students according to their ability to understand and master the subject matter. This research can provide guidance and insight for educators, as well as artificial intelligence, machine learning, association techniques, and classification techniques. Researchers and policymakers are working to optimise learning and improve the quality of student understanding. This study aims to analyse the level of student understanding in simple and structured terms. Using the Machine learning method to analyse the level of student understanding has the potential to impact the quality of education significantly. In addition, machine learning categories are qualified to be applied to the concept of data mining. The data mining techniques used are association and classification. Association techniques are used to determine the pattern of distance student learning. The following process of classification techniques is used to determine the variables to be used in this study using the Logistic Regression model where data that have been classified are grouped or clustered using the K-Means algorithm into three, namely the level of understanding is excellent, sound, and lacking, based on student activity, assignment scores, quiz scores, UTS scores, and UAS scores.
Implementation of Vector-Based Melody Extraction for Plagiarism Detection Using Szymkiewicz-Simpson Coefficient Nindyo Artha Dewantara Wardhana; Agung Mulyo Widodo; Gerry Firmansyah; Budi Tjahjono
Jurnal Indonesia Sosial Sains Vol. 5 No. 04 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i04.1084

Abstract

Plagiarism is topical within the music industry. It is filled with circumstances such as the potential of massive losses coupled with a “false-positive” court ruling due to the blurred line of plagiarism factor. This research aims to solve the gray line of music plagiarism by exploring the potential of the Szymkiewicz-Simpson coefficient toward musical aspects of music. Melody and Rhythm are chosen as the main features to focus on in the research. MIDI files of music involved in court cases are used as data for the study, with limitations put on what cases can be used for the research. Using a threshold range of 0.1 to 0.25, detection accuracies for melodic plagiarism range from 45% to 60%, while rhythm plagiarism ranges from 60 to 65%. This shows that the algorithm of plagiarism detection has a tendency to detect non-plagiarism cases and is more effective towards rhythm plagiarism detection rather than melodic plagiarism detection against existing plagiarism cases.
Comparative Analysis of Enterprise Architecture Frameworks Using TOGAF ADM and SPBE Architecture Based on Presidential Regulation No. 132 of 2022 Hadjarati, Panji Ramadhan Yudha Putra; Widodo, Agung Mulyo; Tjahjono, Budi
Eduvest - Journal of Universal Studies Vol. 5 No. 3 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i3.1772

Abstract

This research aims to conduct a comparative analysis between two enterprise architecture frameworks: TOGAF ADM and Electronic-Based Government System Architecture (SPBE) based on Presidential Regulation No. 132 of 2022. TOGAF ADM is a framework commonly used in various types of organizations in the private and public sectors, while the SPBE Architecture is specifically designed for the Indonesian government sector. Through a qualitative descriptive approach, this study analyzes the principles, concepts, processes, and guidelines underlying each framework. This research is expected to provide insight for policy makers and enterprise architecture practitioners in choosing and implementing the framework that best suits the context and needs of their organization. In addition, this study also provides recommendations to improve the efficiency and effectiveness of implementing enterprise architecture in the public and private sectors in Indonesia. As well as its contribution to the efficiency and quality of government services. This research reviews the challenges in implementing the Electronic-Based Government System (SPBE) in Indonesian government institutions and proposes a solution by comparing TOGAF ADM and SPBE Architecture based on Presidential Regulation No. 132 of 2022. The motivation for this study is to improve the effectiveness and efficiency of SPBE implementation by selecting the most suitable framework. The method used involves analyzing structure, flexibility, technology integration, regulatory compliance, practical implementation, performance, and case studies. The results show that the implementation of TOGAF ADM and SPBE Architecture has their respective strengths and weaknesses, but a combination of both can achieve better outcomes in enhancing government performance and efficiency.
Analysis of The Maturity Level of Cyber Security in The Context of Personal Data Protection for MSMEs in Depok City Sulistyo, Catur Agus; Firmansyah, Gerry; Tjahjono, Budi; Widodo, Agung Mulyo
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.50822

Abstract

This research explores the cybersecurity maturity level in the context of personal data protection for Micro, Small, and Medium Enterprises (MSMEs) in Depok City, Indonesia. The increased use of digital technology by MSMEs has raised concerns about personal data security and the vulnerability to cyberattacks. This study aims to develop an assessment tool that MSMEs can use to evaluate their compliance with the Personal Data Protection (PDP) Law and measure their readiness to face cybersecurity challenges. Through a combination of qualitative and quantitative methods, the study analyzes MSMEs' preparedness for cybersecurity and compliance with the PDP Law. The results reveal that while 60.2% of MSMEs manage personal data, a significant 93.5% have not complied with the PDP Law, exposing them to potential financial losses and cyber risks. The research emphasizes the need for MSMEs to adopt a simple yet effective cybersecurity framework to ensure data protection and compliance.
Prototype Green Energy System for Real Estate Housing Development Based Internet of Everything Suhendar, Suhendar; Irawan, Bambang; Firmansyah, Gerry; Tjahjono, Budi; Erzed, Nixon; Rahaman, Mosiur
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51212

Abstract

Climate change and the crisis of conventional energy resources are two interrelated global issues that severely impact environmental sustainability and economic development. Real estate development using renewable energy is carried out for various reasons involving environmental, economic, and social aspects. Internet of Everything (IoE) is a concept that expands the Internet of Things (IoT), including machine-to-machine, machine-to-person, and person-to-person communications with expanded digital features. The research method is quantitative, with numerical data that can be statistically measured in system performance. The research focuses on developing a prototype architecture of green energy for real estate development to maximize the efficiency of solar energy potential. The research's conclusion holds excellent promise for broader implementation. Solar energy's efficiency and potential can be maximized as a renewable energy source by utilizing the Internet of Everything (IoE) for real-time monitoring, control, and analysis. Additionally, this approach can offer valuable insights for decision-making in energy management going forward.
Implementation of YOLOv5 Algorithm for Exam Cheating Movement detection Suardana, Made Aka; Akbar, Habibullah; Saputra, Martin; Widodo, Agung Mulyo; Tjahjono, Budi
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51480

Abstract

The decline in academic integrity due to cheating during exams has become increasingly relevant, particularly following the shift to online learning systems. The absence of direct supervision in online exams creates opportunities for cheating practices that evade detection by the naked eye. This study addresses this challenge by developing an object detection model for cheating behavior using a deep learning approach based on the YOLOv5 algorithm. The dataset comprised 60 ten-second videos, extracted into 1,200 images representing four suspicious head movement patterns. Each image was manually annotated before training five YOLOv5 variants. Models were evaluated using object detection metrics (precision, recall, and mAP at IoU thresholds 0.5–0.95) and analyzed via confusion matrices. Results indicate that the YOLOv5x variant achieved peak performance, with mAP@0.5:0.95 of 83.06% and perfect classification accuracy across all classes. This demonstrates that an object detection–based approach provides a reliable preliminary solution for monitoring cheating during online exams.
Prediksi Peringkat Akreditasi BAN PT Program Studi Sarjana Rumpun Ilmu Komputer Menggunakan Klasifikasi Machine Learning Aribowo, Budi; Tjahjono, Budi; Firmansyah, Gerry; Widodo, Agung Mulyo
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 2 (2025): Mei 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i2.3089

Abstract

Accreditation ranking is one of the causes and indicators chosen by prospective students when choosing a study program in higher education. From the data collected, only 5% of study programs in the Computer Science group have a Superior accreditation rating and an A accreditation rating in LLDikti Region III Jakarta. So it is necessary to know the factors that influence the accreditation ranking. The machine learning methodology used in this approach is K-Nearest Neighbors (KNN) and from the data obtained there are 6 factors that can be strongly suspected to influence the study program accreditation value. The four machine learning models, namely KNN, Gaussian Naïve Bayes Decision Tree and Logistic Regression, it was found that the KNN machine learning model with 2 input variables had the highest AUC value, namely 84.38%. Meanwhile, from the model simulation run by KNN machine learning, 2 input variables can produce relatively accurate prediction results. And the results of cross validation with 10 folds support the selected machine learning with an accuracy level of 80%. In general, the KNN machine learning model with 2 input variables was able to predict the accreditation rating of Study Programs, especially from the Computer Science Cluster.Keywords – Accreditation, Area Under Curve (AUC), Department of School, Kfold Cross Validation, Machine Learning.
Co-Authors *, Hairuduin A.A. Ketut Agung Cahyawan W Adhi Fernandes Gamaliel Adhy, Dewanto Rosian Adigunawan, Adigunawan Adilah Widiasti Aep Saepudin Ahmad Fuad Ahmad Mutedi Aji Setiawan Akbar, Habibullah Alami, Tegar Alex Hartana Alexander Alexander, Alexander ALINA AKHDIYA RUSMANA Alivia Yufitri AMARILA MALIK Andi Khaeruni Andi Khaeruni Andriana, Dian Angga VB Annazma Ghazalba Antonius Suwanto Anugerah Cahyo Adhi Ardiansyah, Miri Arfian, Muhamad Hadi Arfian, Muhammad Hadi Arief Ichwani Arif Pami Setiaji Aris Tri Wahyudi Arniansyah, Arniansyah Asniwita Asniwita Aulia, Faujiatul Azzam Robbani, Muhammad Bambang Irawan Basyarewan, Humairoh Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Dadang Hermawan Dafa Rizqi, Herin Daniel Hutajulu Dede Setiadi Dermawan Zebua Dewi Marini Dewi, Riris Septiana Sita Diah Aryani Djunaedi, Bagas Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya EDWARD ENDRIANTO Eliza S. Rusli Erry Yudhya Mulyani Euis Heryati Evans, Richard Faiz Fauzan Muhajir Fatonah, Nenden Siti Febrianto, Haris Fernandes Gamaliel, Adhi Firdaus, M. Dzulfiqar Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Gusti Fachman Pramudi Hadjarati, Panji Ramadhan Yudha Putra HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hendaryatna Hendaryatna Hendry Gunawawan Hermansyah Hermanto, Hermanto Hermawan, Deky Herwanto, Agus Hidayat, Muhamad Rifqi Huda, Nur Huda Hung Fei Imam Sutanto Ipung Sutejo, Bayu Sulistiyanto Irawan, Bambang Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Islamy, Muhammad Rafli Ismiyati Meiharsiwi Jabar, Ajib Abdul Jefry Sunupurwa Asri Joniwan Joniwan Judianto Leihitu, Donny Dwy Juliana Juliana Kartini Kartini Kartini Kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Kundang Karsono Juman Kundang Karsono Juman Kusuma, Mahesa Adi Kusumah, Yayi Munara Laksono Trisnantoro Leihitu, Donny Dwy Judianto Lili Hastuti Lisdar Idwan Sudirman Lisdiana Lisdiana Lisdiana Lisdiana Lista Meria Luthfie Aldino Ismail M A Chozin Maemonah, Maemonah Malabay Malabay ., Malabay Malabay Malabay Malabay Malabay Martin Saputra, Martin Marzuki Pilliang Meiharsiwi, Ismiyati Meity S. Sinaga MEITY SURADJI SINAGA Millah, Shofiyul Mita, Vira Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhamad Hadi Arfian Muhammad Abdullah Hadi Muhammad Abdullah Hadi Muhammad Azzam Robbani Muhammad Bagaskara Muhammad Fajrul Aslim Muhtadi, Yudi Muksin, Andreanata Pradifta Munawar Munawar Munawar, Badri Mutedi, Ahmad Nabila, Efa Ayu Nainggolan, Restamauli br Narul Sakron Nasihin, Anwar Nasution, Tegar Alami Natadirja, Trenggana Nenden Siti Fatomah Nenden Siti Fatonah Nenden Siti Fatonah Niko Prasetyawan Aji Nila Rusiardi Jayanti Nina Nurhasanah Nindyo Artha Dewantara Wardhana Ningsih, Susilowati Nixon Erzed Nixon Erzed Nizirwan Anwar Nugraha, William Nur Widiyasono Nur Widiyasono, Nur Nurjannah Nurjannah Pamungkas, Ryan Tri Prabowo, Ary PURNAMA HIDAYAT Purwano SK Putra, Sipky Jaya Qiqi Asmara, Abdullah Qur'ani, Isti R SITI RUKAYAH Rahaman, Mosiur Rasyid, Ainur Ravie Kurnia Reza Irsyadul Anam Rian Adi Pamungkas Ridwan, Ridwan Rifqi Khairurrahman Riya Widayanti Rizk, Muhamad ROB HARLING Roesfiansjah Rasjidin Roesfiansjah Rasjidin Rohidin Rohidin, Rohidin RR. Ella Evrita Hestiandari Rudi Hermawan Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Rusnani * Ryan Putra Laksana Sabaruddin, Satria Sabri Alim Saepudin Saepudin Sakron, Narul Samingan Samingan Samuel Samuel SARASWATI, RIA Septian, Ferby Septianto, Dian Fajar Setiawan, Sony Shine Pintor Siolemba Patiro Sholeh Gunawan Siregar, Sarah Veronica Siti Fatomah, Nenden Sri H. Hidayat SRI HENDRASTUTI HIDAYAT Sri Husni Hidayati Suardana, Made Aka Sugeng Santoso Suhendar Suhendar, Suhendar Sularso Budilaksono Sulistyo, Catur Agus Supriyade Supriyade Supriyade, Supriyade Suryahim, Iim Tarigan, Masmur Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Tugiman Ummanah Ummanah, Ummanah Vivaldi Raditya Putra Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Wijaya, Jacob S William Nugraha Wisnu Ananta Kusuma Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliana Susanti Yuliati - Yunita Fauzia