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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 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) METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi 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 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 Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) JAIA - Journal of Artificial Intelligence and Applications Nusantara of Engineering (NOE) 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
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Penerapan IT Strategic Alignment dan IT Governance untuk Mengukur Kematangan Helpdesk Layanan TI Apriadi, Frans Nilwan; Muhammad, Alva Hendi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6276

Abstract

Penelitian ini bertujuan untuk mengukur kematangan Helpdesk Layanan TI pada Diskominfo Kabupaten XYZ melalui penerapan IT Strategic Alignment dan IT Governance. Masalah utama yang diteliti adalah rendahnya efektivitas dan efisiensi Helpdesk Layanan TI, yang berpotensi menghambat kelancaran operasional dan pelayanan publik. Metode yang digunakan melibatkan analisis IT Strategic Alignment untuk memastikan bahwa strategi TI selaras dengan tujuan organisasi, serta penerapan kerangka kerja IT Governance untuk menilai dan meningkatkan kematangan layanan. Penelitian ini menggunakan pendekatan deskriptif dengan pendekatan studi kasus untuk mengevaluasi tingkat kematangan Helpdesk Layanan TI pada Diskominfo Kabupaten XYZ. Tujuan penelitian adalah untuk mendapatkan gambaran tingkat kematangan Helpdesk Layanan TI saat ini, serta memberikan rekomendasi strategis untuk peningkatan layanan. Hasil sementara menunjukkan bahwa tingkat kematangan Helpdesk Layanan TI Diskominfo Kabupaten XYZ berada pada level 2 dari skala 5, yang menunjukkan bahwa proses masih belum memiliki struktur dan prosedur yang solid, dan operasionalnya lebih bersifat mendadak dan berdasarkan kebutuhan saat itu. Temuan ini menekankan perlunya peningkatan dalam pengelolaan TI, termasuk pengembangan prosedur standar operasional, pelatihan staf, dan peningkatan teknologi pendukung. Penelitian ini diharapkan dapat memberikan wawasan yang bermanfaat bagi pengambil keputusan dalam upaya peningkatan Helpdesk Layanan TI di sektor publik, khususnya di Diskominfo Kabupaten XYZ.
ANALYSIS OF INFORMATION TECHNOLOGY GOVERNANCE WITH COBIT 2019 ON THE BAI08 DOMAIN TO IMPROVE HIGHER EDUCATION PERFORMANCE (CASE STUDY: INSTITUT KEGURUAN DAN TEKNOLOGI LARANTUKA) Hewen, Maria Beliti; Muhammad, Alva Hendi; Nasiri, Asro
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6080

Abstract

Information technology governance is essential and must be appropriately managed to fulfill company strategy. Determination of the achievement of the capability level in the information technology governance process at the academic administration bureau at the Institut Keguruan dan Teknologi Larantuka (IKTL) as a case study site. This research aims to analyze the implementation of information technology governance and measure the achievement of capability values using COBIT 2019. The findings of the problem were that an evaluation had never been carried out, and lack of knowledge sharing caused a decrease in the quality of governance, so an evaluation was needed. The research stages help administrative staff responsible for developing and implementing knowledge and presenting information. Information technology management is carried out to facilitate the management, monitoring, and evaluation of each business process and information technology to achieve organizational goals. COBIT 2019 is used to assist organizations in managing and optimizing existing information technology by using factor design to determine important process domains according to the existing circumstances at the institution. Then, the level of capability in the selected domain BAI08 will be analyzed. The results of measuring the level of capability reached a value of 2.25 at level 2 of the expected goals. The solution to overcome the gap is to give recommendations for improving the governance of information technology
EFEKTIVITAS PROGRAM JELITA JIWA SEBAGAI INOVASI PELAYANAN DI DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KABUPATEN SLEMAN Hasan, Nurul Rahmawati; Nugroho, Hanantyo Sri; Kusrini, Kusrini; Muhammad, Alva Hendi
PRAJA: Jurnal Ilmiah Pemerintahan Vol 12 No 2 (2024): Edisi Juni
Publisher : FISIP Universitas Muhammadiyah Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/prj.v12i2.1548

Abstract

Pelayanan administrasi kependudukan merupakan salah satu pelayanan publik yang bertanggungjawab dalam memberikan pelayanan administrasi kependudukan kepada masyarakat untuk digunakan dalam keperluan pemenuhan hak dasar warga negara. Melalui Peraturan Dalam Negeri Nomor 19 Tahun 2018 tentang Peningkatkan Kualitas Layanan Administrasi Kependudukan mengembangkan inovasi pelayanan dalam rangka peningkatan kualitas administrasi kependudukan dapat dilakukan melalui layanan terintegrasi dan/atau jemput bola. Program Jelita Jiwa merupakan sebuah inovasi pelayanan jemput bola yang dilaksanakan oleh petugas Dinas Kependudukan dan Pencatatan Sipil Kabupaten Sleman ke rumah penduduk yang mengalami sakit berat, lansia, disabilitas, dan orang dengan gangguan jiwa (ODGJ) yang tidak memiliki KTP elektronik. Penelitian ini bertujuan untuk mengetahui efektivitas dan kendala pelaksananaan Program Jelita Jiwa dengan menggunakan indikator input, proses, dan output. Penelitian menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi serta analisis reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukan bahwa Program Jelita Jiwa di Dinas Kependudukan dan Pencatatan Sipil Sleman cukup efektif. Meskipun masih ada beberapa kendala seperti infrastruktur jalan kurang baik, lokasi tempat tinggal yang jauh, pengaturan kerja aparatur belum terorganisir dengan optimal, dan faktor kondisi pemohon itu sendiri.
Cloud Server Security System Design on Linux Almalinux 8.6 Operating System Based on WHM with DNS Management Using IP Masking Cloudflare Chaedar Fatach, Muhamad Reza; Muhammad, Alva Hendi; Ariatmanto, Dhani
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10766

Abstract

This study aims to design a Cloud Server Security System on the Linux Almalinux Operating System with DNS Management Using a Proxy Server Based on IP Masking Cloudflare using the Traffic Patterns and Packet Internet Gopher (PING) methods. The type of research used is qualitative research where researchers collect primary and secondary data. The results of the study concluded that this design can improve security in Cloud Servers. Before using IP Masking Cloudflare, server performance was low, Data Access and Management was Low, Scalability was Low, Access Security was Low, System Integration was Low, but after using IP Masking Cloudflare Server Performance, Data Access and Management, Scalability, Access Security, and System Integration increased.
COBIT 2019 for Enhanced ICT Governance: A Case Study at a Higher Education Institution Fitriyani, Baiq Yulia; Muhammad, Alva Hendi
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.972

Abstract

Effective ICT governance is essential for aligning technological resources with institutional objectives, especially in higher education institutions with limited resources. This study evaluates the ICT governance framework at PUSTIK STMIK Lombok using COBIT 2019, focusing on six domains: APO04, APO10, BAI02, DSS01, DSS05, and EDM01. A structured survey was conducted with 189 respondents, including faculty, students, and administrative staff, to assess capability maturity levels and identify governance gaps. The results indicate that all domains achieved Level 3 (Established), reflecting standardized processes but highlighting deficiencies in security resilience, vendor management, and operational change management. A SWOT analysis identified weaknesses such as limited proactive security measures, insufficient stakeholder engagement, and inadequate staff training, while opportunities include government funding and emerging technologies. To address these challenges, a tailored governance framework was developed, incorporating policies, standards, and procedures to enhance security, innovation management, and vendor accountability. The findings underscore the applicability of COBIT 2019 in resource-constrained educational settings and provide practical recommendations to bridge governance gaps. Future research should examine the long-term effects of governance improvements and explore the framework’s scalability across similar institutions.
QUALITY MANAGEMENT OF INFORMATION TECHNOLOGY GOVERNANCE COBIT 2019 FRAMEWORK EDUCATION FACTORS IN INDONESIA: A REVIEW Prasetya, Bismar Rifki wahyu; Muhammad, Alva Hendi
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.9498

Abstract

This study examines information technology (IT) governance in Indonesia's education sector using the COBIT 2019 framework through a systematic literature review (SLR) approach. COBIT 2019 is a globally recognized framework designed to help organizations manage IT effectively by integrating quality management principles to achieve strategic objectives. In the education sector, implementing robust IT governance is crucial to supporting ongoing digital transformation efforts. The SLR process involved identifying, selecting, and analyzing relevant literature to assess the implementation of COBIT 2019 in the Indonesian education sector. The findings indicate that this framework can enhance IT governance quality, particularly in risk management, resource efficiency, and operational sustainability. However, challenges persist, including limited managerial understanding, shortages of skilled human resources, and inadequate infrastructure support. To address these challenges, collaboration among the government, educational institutions, and the private sector is essential. Additionally, continuous training programs are necessary to enhance the competencies of management and IT personnel in effectively implementing COBIT 2019. The study underscores the importance of integrating technological and educational aspects to improve service quality in the education sector. Furthermore, the COBIT 2019 framework is recognized as a valuable tool for fostering collaboration among stakeholders to achieve sustainable education development in Indonesia.
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.
PEMANFAATAN TEKNOLOGI LEARNING ANALYTICS DALAM MENDETEKSI POLA BELAJAR UNTUK MENINGKATKAN KUALITAS PEMBELAJARAN DI SMK NEGERI 1 KABUPATEN SORONG Novel Adil Dwijaksana; Alva Hendi Muhammad
Jurnal Pendidikan UNIGA Vol 19 No 1 (2025): Jurnal Pendidikan UNIGA
Publisher : Fakultas Pendidikan Islam dan Keguruan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpu.v19i1.42480

Abstract

Penelitian ini bertujuan untuk memanfaatkan teknologi Learning Analytics dalam mendeteksi pola belajar siswa guna meningkatkan kualitas pembelajaran di SMK Negeri 1 Kabupaten Sorong. Tiga pendekatan analisis digunakan: K-Means Clustering untuk mengelompokkan siswa berdasarkan performa akademik, Decision Tree untuk mengidentifikasi faktor-faktor kunci yang memengaruhi hasil belajar, serta Multiple Linear Regression untuk memprediksi capaian akademik siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian eksploratif Data yang dianalisis mencakup kehadiran, nilai tugas, dan partisipasi dalam kelas pada pembelajaran luring. Hasil clustering menunjukkan adanya tiga klaster siswa: performa tinggi, sedang, dan rendah. Decision Tree mengungkap bahwa kehadiran dan partisipasi aktif merupakan indikator utama dalam menentukan performa akademik. Sementara itu, model regresi menghasilkan nilai R-squared sebesar 0,76, yang menunjukkan bahwa variabel kehadiran dan nilai tugas memiliki pengaruh signifikan terhadap capaian belajar. Temuan ini memperkuat bukti bahwa pendekatan Learning Analytics mampu memberikan rekomendasi pembelajaran yang lebih cepat, akurat, dan personal. Penelitian ini diharapkan dapat menjadi referensi dalam pengambilan keputusan pembelajaran berbasis data dan mendukung guru dalam merancang strategi pengajaran yang adaptif dan efektif. Kata-kata Kunci: Learning Analytics, K-Means Clustering, Decision Tree, Multiple Linear Regression, Pembelajaran Luring
Deep Learning Deteksi Dan Klasifikasi Penyakit Daun Tomat Menggunakan ResNet-50 Raynold, Raynold; Alva Hendi Muhammad
Computer Science and Information Technology Vol 6 No 1 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i1.8501

Abstract

Tomatoes are a popular food around the world, especially in Indonesia. Many tomato farmers experience crop failure due to lack of understanding and delays in recognizing diseases that attack their plants. The purpose of this study is to identify and assess the types of diseases on tomato leaves based on trends, data sources, methodologies, and characteristics used in detecting diseases on tomato leaves. The dataset used is sourced from kaggle consisting of 10 classes and contains a total of 11,000 images. The data division used consists of 90% training data and 10% test data. The augmentation and fine-tuning process is carried out to reduce over fitting. This research uses the ResNet-50 algorithm to detect and classify diseases on tomato leaves. ResNet will compare leaf images to classify them with 10 disease classes in the dataset. From the ResNet method, the average accuracy value is 93%. This shows that the ResNet-50 method for image classification can produce accurate accuracy in solving real-world problems
Analisis Perbandingan Algoritma SVM dan CNN dalam Mendeteksi Website Judi Online Berdasarkan Konten Teks Simanjuntak, Nurcahaya; Muhammad, Alva Hendi
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.586

Abstract

This study aims to compare the effectiveness of Support Vector Machine (SVM) and Convolutional Neural Network (CNN) algorithms in detecting Indonesian-language online gambling websites. With the increasing number of online gambling players in Indonesia, it is essential to develop effective methods for identifying gambling content. The dataset used consists of 34,336 gambling websites and 36,529 non-gambling websites, collected through web scraping. The SVM model demonstrated an accuracy of 99%, with evaluation metrics including a precision of 1.00, recall of 0.99, and F1-score of 0.99. In contrast, the CNN model achieved perfect accuracy of 100%, with precision, recall, and F1-score all at 1.00. However, it is important to note that this perfect accuracy was achieved under certain conditions, including a relatively clean dataset and optimal training processes. Evaluation results using cross-validation techniques indicated that SVM maintained a consistent accuracy of approximately 99%, while CNN exhibited an average accuracy of 99.61% with a very low standard deviation. This research emphasizes the importance of data pre-processing in enhancing model accuracy and highlights the advantages of CNN in capturing complex patterns within text. These findings contribute significantly to the development of detection methods for online gambling websites in Indonesia and open avenues for further research in this field.
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 Arief Setyanto Arif Baktiar Ariningsih, Puji 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 Cynthia Widodo Danu Prawira Utama Dhani Ariatmanto DHANI ARIATMANTO Eka Sakti, Putra Utama Eko Pramono Ema Utami Fauzi, Moch Farid Fitriyani, Baiq Yulia Hadiwinata, Sofian Dwi Harahap, Muhammad Sya'ban Hari Susanto Haris, Ruby Hasan, Nurul Rahmawati Hasibuan, M. Rivai Hewen, Maria Beliti Irawan, Hafizhan Irawan, Ridwan Dwi Irwan Oyong Jangkung Tri Nygroho Jeki Kuswanto Joko Dwi Santoso kurniawan, Ade Kurniawan Kusnawi Kusnawi Kusrini Kusrini Kusrini Kusrini Kusrini, K Kusrini, Kusrini Lubna Lubna Maradona, Maradona Muh Adha Muhamad Rodi Muhammad Hanafi 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 Putra Utama Eka Sakti Raynold, Raynold Razaq, Thata Authar Rifqi Anugrah Rosady, Melinne Maldini Saputra, Mahmuda Simanjuntak, Nurcahaya Suparyati Suparyati Suseno, Hari Budhi Taryoko Taryoko TONNY HIDAYAT Ula, M. Izul Wahyunia Ningsih Syam Wiwi Widayani, Wiwi Yossy Ariyanto Zakiri, Hasani Zitnaa Dhiaaul Kusnaa Washilatul Arba'ah Zitnaa Dhiaaul KWA Zubaedi, Umam Faqih