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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pendidikan UNIGA Jurnal Ilmiah Universitas Batanghari Jambi INOVTEK Polbeng - Seri Informatika IJIS - Indonesian Journal On Information System ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) IJISTECH (International Journal Of Information System & Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics JATI (Jurnal Mahasiswa Teknik Informatika) PRAJA: Jurnal Ilmiah Pemerintahan Indonesian Journal of Electrical Engineering and Computer Science JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Jurnal Teknimedia: Teknologi Informasi dan Multimedia JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical Engineering and Computer (JEECOM) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Buletin Poltanesa International Research on Big-data and Computer Technology (IRobot) Bulletin of Computer Science Research Journal of Applied Sciences, Management and Engineering Technology (JASMET) Journal of Information Technology (JIfoTech) Jurnal Informatika Teknologi dan Sains (Jinteks) JAIA - Journal of Artificial Intelligence and Applications Nusantara of Engineering (NOE) Jurnal Bangkit Indonesia Jikom: Jurnal Informatika dan Komputer Journal of Informatics, Electrical and Electronics Engineering SmartComp Jurnal Informatika Polinema (JIP) Intechno Journal : Information Technology Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Teknologi : Jurnal Ilmiah Sistem Informasi
Alva Hendi Muhammad
Universitas Amikom Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Literature Review Audit Tata Kelola Teknologi Informasi Menggunakan Kerangka Kerja COBIT 2019 A’yuni, Ashlih Qurota; Muhammad, Alva Hendi; Nasiri, Asro
Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat Vol 9 No 1 (2023): Juni
Publisher : Politeknik Indonusa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/informa.v9i1.247

Abstract

Information Technology Governance Audit is an evaluation process carried out to evaluate the level of maturity or readiness of an organization in managing information technology. Information Technology governance audit basically focuses more on IT management and its implementation to then produce evaluations and recommendations for company improvement. COBIT 2019 can be used as a framework for conducting IT governance audits. COBIT 2019 is the latest version of COBIT with various advantages, namely, flexibility and openness, novelty and relevance, has a level of adaptation to developments with the latest technology today, provides more in-depth guidance on corporate IT governance according to the needs of each company. Of the 15 articles that have been collected, there are 2 articles that really discuss the entire information technology governance audit process, and 2 articles that discuss in detail the planning of information technology governance audits. While the other 11 articles only arrive at the calculation of the level of capability, the calculation of the maturity level of information technology governance. From these findings, it is hoped that there will be better research in the future.
Enhancing vocational computer engineering education with a GPT-driven speech recognition tool Eka Sakti, Putra Utama; Muhammad, Alva Hendi; Nasiri, Asro
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 1: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i1.pp564-574

Abstract

This research investigates the effectiveness of an AI-driven speech recognition and GPT-powered learning tool in enhancing vocational students’ proficiency in computer networks. The study involved 100 students from vocational hig school, who used the prototype as part of their learning process. A pre-test/post-test design was employed to assess changes in proficiency, and students also provided feedback on the tool’s usability and impact. The results showed a consistent improvement in proficiency across all classes. A strong positive correlation was found between students’ feedback and their proficiency improvement, suggesting that students who rated the prototype as Very Helpful were more likely to see significant learning gains. However, the correlation between time spent using the tool and proficiency improvement was minimal, indicating that the quality of engagement with the tool was more important than the duration of usage. These findings highlight the prototype’s potential to improve vocational learning outcomes and underscore the importance of user satisfaction in driving success, with future refinements necessary to ensure the tool’s broader effectiveness across different learning contexts.
EVALUASI TATA KELOLA INFORMASI DAN DATA MENGGUNAKAN FRAMEWORK COBIT 2019 (DOMAIN APO14) PADA INSTANSI XYZ Suseno, Hari Budhi; Muhammad, Alva Hendi
International Research on Big-Data and Computer Technology: I-Robot Vol 9, No 1 (2025): April
Publisher : UNIVERSITAS DHARMA WACANA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/ir.v9i1.646

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat kapabilitas tata kelola teknologi informasi (TI) dalam pengelolaan data di Instansi XYZ menggunakan framework COBIT 2019. Fokus penelitian berada pada domain APO14 (Managed Data. Permasalahan utama yang diidentifikasi meliputi ketidakkonsistenan data, proses manual, dan keterbatasan integrasi sistem. Metode yang digunakan mencakup studi kasus, kuesioner, wawancara, serta analisis kapabilitas proses berbasis skala COBIT. Hasilnya diharapkan memberikan rekomendasi arsitektur pengelolaan data yang lebih efisien, terstandarisasi, dan mampu mengurangi risiko pengelolaan data. Penelitian ini diharapkan berkontribusi terhadap peningkatan efektivitas tata kelola TI sektor publik, khususnya dalam mendukung transformasi digital Instansi XYZ.
Efektivitas Pelatihan Awal Berbasis Domain Spesifik Legal-BERT Untuk Natural Language Processing Hukum: Replikasi Dan Perluasan Studi Casehold Zakiri, Hasani; Alva Hendi Muhammad; Asro Nasiri
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 1 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i1.2610

Abstract

Abstract?The emergence of domain-specific language models has demonstrated significant potential across various specialized fields. However, their effectiveness in legal natural language processing (NLP) remains underexplored, particularly given the unique challenges posed by legal text complexity and specialized terminology. Legal NLP has practical applications such as automated legal precedent search and court decision analysis that can accelerate legal research from weeks to hours. This study evaluates the CaseHOLD dataset to provide comprehensive empirical validation of domain-specific pretraining benefits for legal NLP tasks with focus on data efficiency and context complexity analysis. We conducted systematic experiments using the CaseHOLD dataset containing 53,000 legal multiple-choice questions. We compared four models: BiLSTM, BERT-base, Legal-BERT, and RoBERTa across varying data volumes (1%, 10%, 50%, 100%) and context complexity levels. Paired t-tests with 10-fold cross-validation and Bonferroni correction ensure robust methodology that guarantees finding reliability. Legal-BERT achieved the highest macro-F1 score of 69.5% (95% CI: [68.0, 71.0]), demonstrating a statistically significant improvement of 7.2 percentage points over BERT-base (62.3%, p < 0.001, Cohen's d= 1.23). RoBERTa showed competitive performance at 68.9%, nearly matching Legal-BERT. The most substantial improvements occurred under limited data conditions with 16.6% improvement at 1% training data. Context complexity analysis revealed an inverted-U pattern with optimal performance on 41-60 word texts. The introduced Domain Specificity Score (DS-score) showed strong positive correlation (r = 0.73, p < 0.001) with pretraining effectiveness, explaining 53.3% of performance improvement variance. These findings provide empirical evidence that domain-specific pretraining offers significant advantages for legal NLP tasks, particularly under data-constrained conditions and moderate-high context complexity. The key distinction of this research is the development of a predictive DS-score framework enabling benefit estimation before implementation, unlike previous studies that only evaluated post-hoc performance. The results have practical implications for developing legal NLP systems in resource-limited environments and provide optimal implementation guidance for Legal-BERT.
Business Process Model And Notation Untuk Memodelkan Proses Pengingat Pinjaman Pada Koperasi Diamanta, David; Muhammad, Alva Hendi
Jurnal Bangkit Indonesia Vol 14 No 2 (2025): Bulan Oktober 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i2.458

Abstract

Savings and loan cooperatives are strategic microfinance institutions facing challenges in managing loan reminder processes. XYZ Savings and Loan Cooperative operates manual reminder processes without standard documentation, creating risks of human error and operational inefficiency. This study aims to design Business Process Model and Notation (BPMN) to model and standardize loan reminder processes at XYZ Savings and Loan Cooperative. The research employed a qualitative approach with descriptive analytical methods. Data collection was conducted through direct observation for one month, interviews with the Secretary Department Cooperative Employee, and internal document studies. Business process analysis was performed to understand existing workflows, then modeled into BPMN elements using Bizagi Modeler software. Model validation was conducted through structured questionnaires with 20 validation aspects. BPMN model was successfully designed with two main scenarios namely Friday reminder process as the main process and Monday reminder process with follow-up mechanisms. The model involves three main actors (Cooperative Members, Cooperative Employees, and Cooperative Head) with clear swimlane divisions. The process starts from attendance checking, WhatsApp messaging, phone calls, to coordination for direct visit scheduling. Validation shows perfect conformity of 100% from 20 evaluated aspects. The BPMN model successfully transformed manual processes without documentation into structured and standardized visualization. The study concludes that BPMN implementation can effectively standardize previously manual and undocumented loan reminder processes, producing standard documentation that can be implemented for procedure standardization and new employee literacy, thereby improving operational effectiveness and reducing human error risks in cooperative loan reminder processes.
Analisis Dampak Karakteristik Siswa pada Masa Pandemi COVID-19 terhadap Prestasi Akademik menggunakan Analisis Diskriminan dan Regresi Multinomial Widodo, Cynthia; Muhammad, Alva Hendi; Kusnawi, Kusnawi
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i2.9070

Abstract

Berdasarkan analisis karakteristik siswa di tengah pandemi COVID-19, studi ini menggunakan analisis diskriminan dan regresi multinomial untuk mengeksplorasi dampaknya terhadap prestasi akademik. Faktor-faktor seperti usia, jenis kelamin, tingkat stres, dan transisi ke lingkungan pembelajaran virtual diperiksa untuk memahami pengaruhnya terhadap hasil pendidikan. Temuan ini menyoroti peran penting manajemen stres dan tantangan yang ditimbulkan oleh lingkungan pembelajaran virtual, serta menekankan perlunya intervensi yang ditargetkan untuk mendukung kesejahteraan siswa dan keberhasilan akademik. Analisis diskriminan mengidentifikasi faktor-faktor utama yang membedakan tingkat prestasi akademik, sementara regresi multinomial memodelkan hubungan kompleks di antara variabel-variabel yang mempengaruhi pencapaian siswa. Penelitian ini berkontribusi pada strategi pendidikan yang disesuaikan dengan kebutuhan siswa yang terus berkembang di lanskap pendidikan yang ditransformasi secara digital.
Evaluasi Kinerja Metode Peningkatan Kontras (CLAHE & HE) pada Klasifikasi Ras Kucing menggunakan VGG16 Juslan, Wulandari; Muhammad, Alva Hendi
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29578

Abstract

Cat breed classification is challenging in image processing due to complex visual variations from crossbreeding, which affect care requirements. This study evaluates the effectiveness of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Histogram Equalization (HE) in cat breed classification using a VGG16-based Convolutional Neural Network (CNN). The dataset consists of 4,656 cat images from six breeds, processed with CLAHE and HE for contrast enhancement before training. It is divided into 70% for training, 15% for validation, and 15% for testing. The model is trained for 10 epochs using the Adam optimizer, a 0.0001 learning rate, and batch sizes of 16, 32, and 64. Evaluation using accuracy, precision, recall, and F1-score shows that CLAHE achieves the highest accuracy (99.39%), surpassing HE (99.17%) by 3.29%. CLAHE is more effective in preserving local details, improving precision (78.67%), recall (78.33%), and F1-score (78%). The highest performance is in the Sphinx breed (F1-score 92%), while the lowest is in American Shorthair (F1-score 72%). A high standard deviation indicates classification variations across breeds, but CLAHE consistently improves model accuracy. These findings suggest that CLAHE is more effective than HE in enhancing cat breed classification and offers a more efficient solution than adopting a complex model architecture.
User Interface Yang Adaptif Pada Kernwerk Mobile App Berbasis Ekstensi Modular UEQ+ Alif Syaiful Huda; Alva Hendi Muhammad; Tonny Hidayat
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 2 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i2.44

Abstract

The diversity in societal exercise preferences has increased significantly, with fitness emerging as a favored modern activity, particularly in urban areas of Indonesia. Fitness is valued for its effectiveness in restoring body fitness and achieving ideal body shapes swiftly. However, in the era of Industry 4.0, technological advancements have revolutionized the approach to fitness. Smartphone fitness applications have replaced the role of personal trainers by providing tailored exercise and dietary programs. User Interface (UI) plays a pivotal role in fitness applications, influencing User Experience (UX). The challenge lies in designing UI to accommodate user heterogeneity, both internally and externally. Adaptive UI emerges as a solution, capable of altering layout and content according to user characteristics. Kernwerk® Functional Fitness exemplifies a fitness application utilizing AI to optimize fitness routines. To enhance Kernwerk's UI adaptability, UX evaluation is conducted using UEQ+ modular extension, a comprehensive instrument for effectively and efficiently measuring user experience. Through this evaluation, components of UI and UX requiring further development to enhance Kernwerk's adaptability can be identified.
Efektifitas Penerapan Wibsite (Online) Pmb Dengan Menggunakan Pendekatan Technology Acceptance Model (Tam) Sekolah Tinggi Ilmu Tarbiyah Islamiyah Karya Pembangunan Paron Setiajid, Bayu; Alva Hendi Muhammad; Asro Nasiri
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 14 No 1 (2024): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v14i1.4473

Abstract

Pemanfaatan website pada perguruan tinggi merupakan salah satu cara penerimaan mahasiswa baru (PMB) yang dapat dilakukan secara online. Website online PMB  memungkinkan calon mahasiswa  mengakses berbagai informasi terkait  penerimaan mahasiswa baru di sekolah tinggi dan menyelesaikan proses pendaftaran  online dari lokasi manapun, selama terhubung dengan  internet, sehingga calon mahasiswa tidak harus berkunjung ke kampus untuk melakukan pendaftaran. Dengan melakukan evaluasi implementasi sistem informasi akademik yang terintegrasi menggunakan metode TAM. Metode TAM yang dijelaskan oleh Davis (1989) medefinisikan suatu metode yang memudahkan kita untuk mengakses dan mengetahui bagaimana  pengguna atau user menerima pemakaian dalam sistem informasi. Dalam metode TAM terdiri dari lima variabel yang bisa digunakan untuk mengetahui dan beberapa indicator yang menjadi faktor-faktor interaksi dengan penerimaan sistem informasi, yaitu: Perceived kegunaan, sudut pandang kemudahan penggunaan, perilaku pada penggunaan (attitude way of use), niat perilaku untuk menggunakan dan penggunaan secara aktual.
Analisis Rekomendasi untuk Meningkatkan Nilai Capability Level Domain APO 14 Pada COBIT 2019 Taryoko, Taryoko; Muhammad, Alva Hendi; Kusnawi, Kusnawi
Jurnal Ilmiah Universitas Batanghari Jambi Vol 24, No 1 (2024): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v24i1.4380

Abstract

The purpose of this study was to determine data management with consideration of the APO 14 domain at XYZ Agencies using the 2019 COBIT Framework. This research method uses a case study. The results of this study indicate that first, the capability level test value is entered at level 3, namely Establish. Second, the average value generated on the Capability level test value is 3.14 or 0.031, which means the XYZ agency So that it can be ensured that the XYZ agency has carried out the implementation process and is able to achieve process results in accordance with what is targeted in the APO domain 14. Third, the average GAP value produced is worth 3 with a difference of 1 value from the expected value in accordance with the 2019 COBIT provisions.
Co-Authors Abdul latif Adhien Kenya Estetikha Aditama, Galih Agung Harimurti, Agung Agus Purwanto Ahmad Yusuf Alif Syaiful Huda Ananda Fikri Akbar Andi Sunyoto Anggit Dwi Hartanto Anggrainy, Shynta Eza Annisa Hestiningtyas Apriadi, Frans Nilwan Arief Rahman Hakim Arif Baktiar Ariningsih, Puji Arsad Arta Perdana, Bagus Gede Asro Nasiri Asro Nasiri A’yuni, Ashlih Qurota Baiq Yulia Fitriyani Bambang Soedijono Bambang Soedijono W.A Bambang Soedijono W.A Bambang Soedijono, Bambang Bernadhed, Bernadhed Budi, Ilham Setya Candra Aditya Pinuyut Chaedar Fatach, Muhamad Reza Danu Prawira Utama DHANI ARIATMANTO Dhani Ariatmanto Diamanta, David Eka Sakti, Putra Utama Eko Pramono Ema Utami Fauzi, Moch Farid Fitriyani, Baiq Yulia Hadiwinata, Sofian Dwi Hanafi Hanafi Hanafi Hanafi Harahap, Muhammad Sya'ban Haris, Ruby Hasan, Nurul Rahmawati Hasibuan, M. Rivai Hery Priandoko Hewen, Maria Beliti Irawan, Hafizhan Irawan, Ridwan Dwi Irwan Oyong Jangkung Tri Nygroho Jeki Kuswanto Joko Dwi Santoso Juslan, Wulandari kurniawan, Ade Kurniawan Kusnawi Kusnawi Kusrini Kusrini Kusrini Kusrini Kusrini, K Kusrini, Kusrini Lubna Lubna Maradona, Maradona Muh Adha Muhammad Husein Budiraharjo Muhammad Imam Munandar Muhartini, Sitti Muktafin, Elik Hari Nadya Chitayae Nasiri, Asro Novel Adil Dwijaksana Nugroho, Hanantyo Sri Nur Aziz Nugroho Prasetya, Bismar Rifki wahyu Prasetya, Rendra Prima Giri Pamungkas Raynold, Raynold Razaq, Thata Authar Richki Hardi Rifqi Anugrah Rosady, Melinne Maldini Saputra, Mahmuda Setiajid, Bayu Simanjuntak, Nurcahaya Suparyati Suparyati Suseno, Hari Budhi Taryoko, Taryoko TONNY HIDAYAT Ula, M. Izul Verawati, Ike Wahyunia Ningsih Syam Widodo, Cynthia Wiwi Widayani, Wiwi Yossy Ariyanto Zakiri, Hasani Zitnaa Dhiaaul Kusnaa Washilatul Arba&#039;ah Zitnaa Dhiaaul KWA Zubaedi, Umam Faqih