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All Journal Al Ishlah Jurnal Pendidikan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Jutech: Jurnal Teknologi Informasi Journal of Computers for Society
Muhammad Nursalman
Universitas Pendidikan Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Computational Bibliometric Analysis of Research on Bloom Digital Taxonomy and Critical Thinking Gunarso Gunarso; Muhammad Syafri Syamsudin; Muhammad Nursalman; Enjang Ali Nurdin; Anggi Fitri
AL-ISHLAH: Jurnal Pendidikan Vol 16, No 1 (2024): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v16i1.4426

Abstract

One important step towards understanding the development, trends, and effects in the context of contemporary education is to conduct a computational bibliometric analysis of research focused on Bloom Digital Taxonomy and elements of critical thinking studies. This research was conducted to perform a bibliometric analysis on the digital Bloom's taxonomy and critical thinking. The research method employed was bibliometric analysis, utilizing machine learning to map the data. The research comprised four stages of bibliometric analysis, namely: (a) data retrieval through the application of Publish or Perish, (b) data processing, (c) data mapping using machine learning, and (d) data analysis of the mapping using the R programming language. The research materials were published between 2015 and collected from the Google Scholar database in 2023. The search process involved the usage of the keywords "Taxonomy Bloom Digital" and "Critical Thinking." The results demonstrated that bibliometric analysis and mapping of 500 publications using machine learning enabled a deeper understanding of the development, trends, and crucial aspects of research in this field. By employing a bibliometric analysis approach and implementing machine learning, this study contributes to the comprehension of digital Bloom's taxonomy and critical thinking while providing an overview of research trends.
Security Analysis and The Effect of Codec Changes on Quality of Service of Encrypted Voice Phones on Voice Over IP Freepbx Asep Saepul Achmad; Muhammad Nursalman; Rizky Rachman J.
Journal of Computers for Society Vol 4, No 2 (2023): JCS: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i2.71181

Abstract

VoIP is one of the technologies as communication with audio and video media online. The server secures voice phone data on VoIP supporting VoIP phone data encryption. In addition to security, in order to improve sound quality FreePBX also uses the latest codecs such as Alaw, Ulaw, G722, G729. The purpose of this study was to display the results of VoIP voice phone security testing on FreePBX Server, analyze the Quality of Service of voice codecs on VoIP phones, and compare encrypted and unencrypted VoIP voice phones. The Quality-of-Service criteria of voice telephony consist of packet loss, jitter, and delay or delta. Then, test VoIP security using the Man in The Middle Attack (ARP Poisioning) attack method on the Cain and Abel application. Next, analyze the comparison between encrypted and unencrypted phones using SoftPhone SIPSoercery. Test results for QoS of encrypted VoIP phones with different audio codecs are very good and this assessment is based on the TIPHON QoS standard. The best delta value is found in the Ulaw codec and the best jitter value is found in the Alaw codec. After VoIP phones are attacked with ARP Poisoning, there is a decrease in QoS quality. For all codecs tested, the delta value decreased from 9.34% to 104.12%, the jitter value decreased from 235.49% to 767.97%, and the packet loss value decreased from 5.56% to 181.82%.
Perancangan Strategic Dashboard Pemetaan Alumni Menggunakan Metode PureShare Dicki Fathurohman; Rani Megasari; Muhammad Nursalman
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.518

Abstract

Alumni play a crucial role as university representatives in society and as a bridge connecting networks and sharing information with current students and new graduates. However, limited up-to-date alumni data and low participation in data updates hinder universities from fully leveraging alumni potential. This study aims to develop a strategic alumni mapping dashboard for Universitas Pendidikan Indonesia (UPI) using the PureShare method, which emphasizes alignment between organizational goals and user needs. The development process includes planning and design, system and data review, prototype creation, refinement, and release. During planning, objectives and key results were identified as the foundation for dashboard design. The data review stage revealed several missing key data, such as income, employment status, and further study data, which were subsequently added to complete the database. The prototype was tested through blackbox testing and refined based on user feedback. The final dashboard presents interactive visualizations, including alumni growth trends, distributions by domicile, employment, entrepreneurship, and further study. This dashboard serves as a monitoring and strategic decision-making tool for UPI’s Alumni Association, supporting the achievement of university Key Performance Indicators, particularly graduate success. This research highlights the importance of participatory approaches and user-centered design in enhancing the effectiveness of alumni mapping dashboards.
Perancangan UI/UX Sistem Pemantauan Tingkat Aktivitas Fisik Dan Kebugaran Mahasiswa Dengan Pendekatan Lean UX Talitha Syahla; Asep Wahyudin; Muhammad Nursalman
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.545

Abstract

Mahasiswa kerap menghadapi gaya hidup pasif akibat tekanan akademik dan kurangnya kesadaran terhadap pentingnya aktivitas fisik. Padahal, kebugaran fisik berperan penting dalam mendukung kesehatan mental dan prestasi akademik. Penelitian ini bertujuan merancang sistem pemantauan kebugaran berbasis website yang sesuai kebutuhan mahasiswa dengan pendekatan Lean UX. Penelitian dilakukan melalui tahapan Lean UX meliputi: observasi dan wawancara, declare assumptions, pembuatan MVP (site map, wireframe, dan prototype), eksperimen internal, serta usability testing menggunakan System Usability Scale (SUS). Prototype sistem yang dikembangkan menampilkan fitur utama berupa program latihan 7 hari, pelacakan denyut nadi, BMI, dan estimasi VO₂Max, serta tampilan antarmuka yang minimalis. Hasil usability testing dari 40 responden menunjukkan skor rata-rata SUS sebesar 82,2, yang termasuk kategori “Excellent”. Sistem pemantauan kebugaran berbasis website ini dinilai efektif, efisien, dan sesuai dengan kebutuhan mahasiswa. Pendekatan Lean UX terbukti mampu menghasilkan solusi desain digital yang relevan dan berorientasi pada pengguna.
Perancangan UI UX Sistem Reservasi Lapangan Padel dengan Rule Based Dynamic Pricing Menggunakan SUS Afina Rahmani; Muhammad Nursalman; Ani Anisyah
Jurnal Teknologi Informasi (JUTECH) Vol. 7 No. 1 (2026): JUTECH: Jurnal Teknologi Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jutech.v7i1.3476

Abstract

The development of digital technology has increased the use of web-based reservation systems in various sectors, including sports. However, several problems still exist, such as unclear scheduling information, lack of price transparency, and inefficient booking processes that are difficult for users to understand. This study aims to design and evaluate a UI/UX prototype of a padel court reservation system with rule-based dynamic pricing to improve user experience. The method used is Research and Development (R&D), consisting of needs analysis, design using Figma, and usability testing using the System Usability Scale (SUS). The testing involved 39 respondents who had interacted with the system prototype. The results show that the average SUS score is 78.59, which falls into the good and acceptable category. This indicates that the designed system has good usability and provides ease of use in the reservation process. Therefore, the developed prototype can be an alternative solution to improve the quality of digital sports reservation systems.
Pemodelan Sistem Deteksi Intrusi pada Sistem Smart Home Pemantauan Konsumsi Energi Listrik Berbasis Machine Learning Eddy Prasetyo Nugroho; Sabian Annaya Havid; Muhammad Nursalman
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp42-49

Abstract

The occurrence of electricity usage that exceeds the power capacity of the home requires a smart home system that can monitor electricity consumption efficiently. This smart home system is built based on the Internet of Things (IoT) which can help electricity users at home to evaluate usage more easily and in an integrated manner. The development of this IoT-based smart home system uses the ESP32 Micro Controller Unit (MCU) and the PZEM-004T v.3.0 sensor. The reading results from the system can be seen on the front end of the web-based application and the LCD module on the controller system. To obtain the efficiency of electricity usage, an electricity usage leakage detection system is needed or in this case, it is called an intrusion detection system or Intrusion Detection System (IDS). The development of IDS by identifying anomalies based on electricity usage. The IDS model utilizes Machine Learning with a labelling process pattern as a preprocess using the Isolation Forest unsupervised learning algorithm and the classification process using the Random Forest supervised learning algorithm with Anomaly and Normal status. Evaluation of the IDS model on the dataset that has gone through labelling gives quite good results with an accuracy value of 99.63 %. IDS Model is ready to be tested in the implementation of classifying recorded data in real-time against several electrical energy load scenarios in the future.
Pengembangan Sistem Simulasi Prediksi Struktur Penduduk Menggunakan Model Cohort-Component: Studi Kasus Populasi Jepang Arzaniel Ethan Martosiswoyo; Muhammad Nursalman; Rani Megasari
Digital Transformation Technology Vol. 6 No. 1 (2026): Periode Maret 2026
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v6i1.9029

Abstract

Penuaan penduduk adalah masalah yang kompleks, tetapi peneliti dapat memahaminya lebih baik dengan menggunakan model matematika dan alat visual. Penelitian ini berfokus pada pembuatan dasbor untuk mensimulasikan kemungkinan yang terjadi pada populasi Jepang di masa depan. Penulis menggunakan metode cohort component untuk ini. Model ini melacak orang berdasarkan usia dan jenis kelamin setiap lima tahun. Sistem ini memperbarui angka berdasarkan tingkat kelahiran, tingkat kelangsungan hidup, dan migrasi. Penulis menulis kode dalam Python di Google Colab dan membuat antarmuka web menggunakan Streamlit. Dashboard memungkinkan pengguna untuk mengubah skenario, melihat piramida penduduk, dan mengunduh tabel data. Hasil uji dasar penulis menunjukkan populasi Jepang menurun dari 123,802 juta pada tahun 2024 menjadi sepenelitir 67,288 juta pada tahun 2074. Rasio ketergantungan juga melonjak dari 67,92 menjadi 107,69. Jika peneliti meningkatkan tingkat kelahiran dalam simulasi, penurunan populasi sedikit melambat, berakhir pada 74,892 juta. Namun, peningkatan migrasi penduduk usia kerja menghasilkan hasil terbaik. Hal ini mempertahankan jumlah penduduk sepenelitir 78,442 juta dan menurunkan rasio ketergantungan menjadi 94,98. Singkatnya, dashboard ini merupakan alat yang ampuh untuk mengeksplorasi perubahan demografis, meskipun hanya simulasi dan bukan prediksi resmi pemerintah.
Co-Authors Afina Rahmani Anggi Fitri Ani Anisyah Arzaniel Ethan Martosiswoyo Asep Saepul Achmad Asep Wahyudin Dicki Fathurohman Eddy Prasetyo Nugroho Enjang Ali Nurdin Gunarso Gunarso Muhammad Syafri Syamsudin Rani Megasari Rizky Rachman J. Sabian Annaya Havid Talitha Syahla