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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JOURNAL SPORT AREA Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Info Sains : Informatika dan Sains Jurnal Teknologi Informasi dan Komunikasi Riwayat: Educational Journal of History and Humanities Jurnal Pengabdian Masyarakat dan Riset Pendidikan JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi Journal on Pustaka Cendekia Informatika Fundamental and Applied Management Journal JURNAL PENGABDIAN KEPADA MASYARAKAT (JPKM) KEBANGSAAN JuSTISe: Journal Data Science, Technology, Informatics and Security
Subhanjaya Angga Atmaja
Universitas Kebangsaan Republik Indonesia
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PEMANFAATAN SISTEM CERDAS IRIGASI SEBAGAI SOLUSI MANAJEMEN IRIGASI DI DESA SUKAJAYA KECAMATAN MALANGBONG KABUPATEN GARUT Hadikaryana, Oscar; Abdurrohim, Iim; Hariman, Irman; Yasri; Rahman, Alkautsar; Suprihadi, Deni; Atmaja, Subhanjaya Angga; Suharyanto
JURNAL PENGABDIAN KEPADA MASYARAKAT (JPKM) KEBANGSAAN Vol. 1 No. 2 (2025): Edisi 2
Publisher : LPPM UKRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jpkmkebangsaan.v1i2.4352

Abstract

This community service activity was conducted in Sukajaya Village, Malangbong District, Garut Regency, aiming to enhance farmers’ technological literacy through the implementation of a smart irrigation system based on the Internet of Things (IoT) and Artificial Intelligence (AI). The main problem faced by the community is the inefficiency in water use and manual irrigation management. The program employed a Participatory Action Learning (PAL) approach, engaging local farmers in hands-on learning and technology application. The activities consisted of seminars, training sessions, and live demonstrations of an automatic irrigation system integrating soil moisture sensors and IoT modules to regulate watering automatically. Evaluation results indicated a 68% increase in participants’ understanding of smart system concepts and their applications in agriculture. Participants also showed strong enthusiasm to develop similar systems in their own fields. This program demonstrates that participatory-based education effectively bridges the technological gap between universities and rural communities, serving as an initial step toward the adoption of sustainable precision agriculture.
PENGUJIAN BLACK BOX PADA FITUR PEMINJAMAN BUKU DI APLIKASI IPUSNAS Ariel Abdurrozak; Putri Nur Hasanah; Abdul Aziz Nurahamat; Muhammad Hafizha Ramahdani; Miftah Rizkia Aldira; Subhanjaya Angga Atmaja
Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 2 (2025): Jurnal Teknologi Informasi dan Komunikasi
Publisher : Fakultas Ilmu Komputer dan Informatika - Universitas Nurtanio Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56244/fiki.v15i2.999

Abstract

Abstract The iPusnas application is a digital library platform developed by the National Library of the Republic of Indonesia to expand public literacy access. Despite high adoption rates, the book borrowing feature is often criticized due to functionality issues and system limitations. This study aims to evaluate the reliability of the book borrowing feature in the iPusnas application using Black Box Testing methods with Equivalence Partitioning (EP) and Boundary Value Analysis (BVA) techniques. The research was conducted qualitatively through case studies, with direct observations and the design of test scenarios based on input conditions that represent user experience. The testing results show that the system can generally handle input variations as expected. The EP technique helps simplify the number of test cases without reducing coverage, while BVA successfully identifies the system's accuracy in responding to boundary values such as daily quotas and membership status. These findings demonstrate that iPusnas has reliable functional logic but still requires improvement. This study provides practical contributions to the development of digital library applications and suggests broader testing on other features for comprehensive validation. Keywords: iPusnas, Black Box Testing, Equivalence Partitioning, Boundary Value Analysis, library application. Abstrak Aplikasi iPusnas merupakan platform perpustakaan digital yang dikembangkan oleh Perpustakaan Nasional RI untuk memperluas akses literasi masyarakat. Meskipun adopsinya tinggi, fitur peminjaman buku sering dikeluhkan karena masalah fungsionalitas dan batasan sistem. Penelitian ini bertujuan mengevaluasi keandalan fitur peminjaman buku pada aplikasi iPusnas menggunakan metode Black Box Testing dengan teknik Equivalence Partitioning (EP) dan Boundary Value Analysis (BVA). Penelitian dilakukan secara kualitatif melalui studi kasus, dengan observasi langsung dan perancangan skenario uji berdasarkan kondisi input yang merepresentasikan pengalaman pengguna. Hasil pengujian menunjukkan bahwa sistem secara umum mampu menangani variasi input sesuai harapan. Teknik EP membantu menyederhanakan jumlah kasus uji tanpa mengurangi cakupan, sementara BVA berhasil mengidentifikasi ketepatan sistem dalam merespons nilai-nilai batas seperti kuota harian dan status keanggotaan. Temuan ini membuktikan bahwa iPusnas memiliki logika fungsional yang andal namun masih memerlukan penyempurnaan. Kajian ini memberikan kontribusi praktis bagi pengembangan aplikasi perpustakaan digital serta menyarankan pengujian lebih luas pada fitur lain untuk validasi menyeluruh.
AI-Driven Marketing Strategies: Assessing the Impact of Artificial Intelligence in Transforming Sustainable Marketing Practices for MSMEs a Qualitative Study Candra Aeni; Loso Judijanto; Encep Sopandi; Subhanjaya Angga Atmaja; Dewi Maharani
Fundamental and Applied Management Journal Vol. 4 No. 3 (2026): September
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i3.943

Abstract

This study aims to analyze how AI contributes to the transformation of sustainable marketing practices among MSMEs, with particular attention to its implementation, benefits, challenges, and adoption strategies. A descriptive qualitative method was used in this investigation. Ten informants participated in in-depth interviews and observations to gather primary data. From five stakeholder groups: MSME owners/managers, business practitioners, AI developers, digital marketing and sustainability experts, and consumers. Secondary data were obtained from academic literature, journal articles, policy documents, and other relevant publications. Data reduction, data display, and conclusion drawing were used to examine the data, with source and technique triangulation providing support. The findings reveal that AI enhances sustainable marketing by improving marketing automation, customer personalisation, and data-driven strategic decision-making. MSME owners and business practitioners reported that AI reduced marketing operational costs and increased customer engagement through more targeted communication. AI developers and sustainability experts emphasized that AI supports efficient resource utilization and digital marketing processes, contributing to reduced environmental impacts. However, high implementation costs, limited digital competencies among MSMEs, and worries about the security and privacy of consumer data continue to be significant obstacles to the deployment of AI. AI has considerable potential to strengthen sustainable marketing practices and improve MSME competitiveness. To maximize its benefits, more inclusive adoption strategies are needed, including affordable SaaS-based AI solutions, digital capacity-building programs for MSMEs, and supportive regulatory frameworks that encourage ethical and responsible AI implementation.
Smart HVAC: Monitoring dan Kontrol Berbasis IoT dengan Fuzzy Logic Mamdani Esa Aprillah; Yasri; Subhanjaya Angga Atmaja
Journal Data Science, Technology, Informatics and Security Vol 2 No 2 (2024): Journal Data Science, Technology, Informatics and Security (Desember 2024)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v2i2.4309

Abstract

The development of the Internet of Things (IoT) has driven the implementation of more efficient automation systems, including HVAC (Heating, Ventilation, and Air Conditioning) control. This study designs and implements an IoT-based HVAC monitoring and control system using a NodeMCU ESP8266, DHT11 sensors, relays, webcams, and the Mamdani Fuzzy Logic algorithm integrated with the Blynk application. The case study was conducted in the CV. Sukses Berkarya office, which requires stable temperature and humidity. The system is able to read temperature-humidity data, process it using fuzzy logic, and automatically control the air conditioning. Furthermore, YOLOv8 integration with the webcam is used to detect the number of people in the room as an additional parameter. Test results show that the system can maintain the room temperature within the ideal range of 18–30°C, reduce energy waste, and facilitate remote monitoring and control. This study demonstrates that the combination of IoT, fuzzy logic, and visual detection can produce an adaptive, efficient, and user-friendly HVAC system.
Prototipe Sistem Penampungan Air Otomatis Berbasis IoT dengan Logika Fuzzy untuk Pertanian Cerdas Adhin Luthfi Indrawan; Oscar Hadikaryana; Subhanjaya Angga Atmaja
Journal Data Science, Technology, Informatics and Security Vol 3 No 1 (2025): Journal Data Science, Technology, Informatics and Security (Juni 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i1.4310

Abstract

The development of Internet of Things (IoT) technology has brought significant changes to modern agricultural systems, particularly in terms of water efficiency. This research developed a prototype of an IoT-based automatic water storage system capable of adjusting water distribution according to environmental conditions in real time. The system was built using a NodeMCU ESP8266 as a control center and several sensors, including a soil moisture sensor, a rain sensor, an ultrasonic sensor, a temperature and humidity sensor, and a water flow sensor. The integration of these various sensors allows the system to detect land conditions comprehensively. Mamdani fuzzy logic is used as a decision-making method by considering variables such as soil moisture, weather conditions, and temperature. A rule-based system approach is added to provide more flexible decision rules. The sensor readings are processed by a microcontroller and then sent to the Blynk application so farmers can monitor and control the system via smartphone. Test results show that the system can adapt to various conditions. In dry soil with high temperatures, the pump automatically activates until the moisture threshold is reached. Conversely, when rain is detected or the soil is wet, the system delays watering to avoid waste. Water discharge data is also recorded in real time so that water use can be better controlled. This research demonstrates that the integration of IoT and Mamdani fuzzy logic can improve water distribution efficiency, reduce waste, and support smart farming practices. The developed system has the potential to be widely applied to agricultural land to help farmers manage water resources efficiently and sustainably.
Development and preliminary evaluation of a mobile-based assessment system for BMI, perceived workload, and subjective fatigue Iffah, Nur; Andrianto, Joan Rhobi; Hindun, Nurmala; Judijanto, Loso; Atmaja, Subhanjaya Angga
Journal Sport Area Vol 11 No 2 (2026): August
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/sportarea.2026.vol11(2).26378

Abstract

Background: Physical condition, workload, and fatigue are important considerations among workers engaged in repetitive and physically demanding activities. However, practical mobile-based systems integrating these indicators into a single assessment workflow remain limited. Objectives: This study aimed to develop and preliminarily evaluate a mobile-based assessment system for BMI, perceived workload, and subjective fatigue and examine their associations among industrial workers. Methods: A research and development design using the ADDIE framework was followed by a cross-sectional evaluation of 77 industrial workers recruited through convenience sampling. The application assessed BMI, perceived workload, and subjective fatigue using the Fatigue Assessment Scale. Associations among variables were examined using Pearson's chi-square test and Cramér's V. Results: The application demonstrated favorable preliminary expert and user evaluations, with scores of 87.11% for material validity, 92.90% for media validity, and 91.58% for user practicality. Among 77 workers, 51.9% reported moderate workload and 35.1% had high fatigue. Perceived workload was significantly associated with subjective fatigue, whereas BMI was not. High fatigue was more prevalent among workers with high workload (56.0%) than low workload (8.3%) and among those with obesity (62.5%) than normal BMI (25.0%). Conclusion: The developed mobile-based system provides an integrated digital workflow for assessing BMI, perceived workload, and subjective fatigue and demonstrated favorable preliminary expert and user evaluations. The observed distribution of fatigue across workload and BMI categories warrants further investigation using larger samples, longitudinal designs, objective physiological measures, and standardized usability assessments.
Implementasi GPT API pada SIMANTAP untuk Deteksi Similarity dan Novelty Teks Akademik Berbasis NLP Raafi Syarahil Azhar; Subhanjaya Angga Atmaja; Yasri
JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 4 No. 03 (2026): Agustus
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/jikteks.v4i03.724

Abstract

Digitalisasi dokumen akademik meningkatkan potensi kemiripan ide dan praktik plagiarisme yang tidak hanya berupa penyalinan langsung, tetapi juga parafrase dan penggantian sinonim. Sistem deteksi kemiripan yang tersedia umumnya hanya menghasilkan skor kemiripan tanpa menjelaskan posisi suatu penelitian terhadap penelitian terdahulu. Penelitian ini bertujuan menganalisis implementasi dan kemampuan GPT API dalam mendeteksi similarity dan novelty teks akademik pada aplikasi SIMANTAP, serta mengidentifikasi kebutuhan sistem, perspektif pengguna, dan implikasinya terhadap integritas akademik. Penelitian menggunakan pendekatan kuantitatif dengan metode pengembangan Waterfall. Sistem dibangun menggunakan PHP, Laravel, dan MySQL dalam bentuk pipeline analisis sembilan tahap yang mencakup ekstraksi teks, segmentasi dokumen menjadi chunk, ekstraksi kata kunci berbasis GPT, pencarian dokumen pembanding internal dan eksternal, pembangkitan embedding, perhitungan cosine similarity antar-chunk, agregasi skor, hingga analisis kebaruan kontekstual. Pengujian kebutuhan dilakukan dengan black-box testing, pengujian keluaran terhadap 29 dokumen proposal lintas domain, dan evaluasi persepsi terhadap lima dosen menggunakan kuesioner skala Likert. Seluruh kebutuhan dinyatakan valid, dengan similarity score rata-rata 36,09% (SD 24,33) dan novelty score rata-rata 58,07% (SD 9,92). Kalibrasi menunjukkan ambang konvensional 0,85 menghasilkan similarity index 0% pada dokumen yang relevan secara tematik sehingga ambang dikalibrasi ke 0,60. Evaluasi pengguna memperoleh nilai 91,2% berkategori Sangat Baik.
Co-Authors A. A. H. Ahmad Almulqu Abdul Aziz Nurahamat Abdurrohim, Iim Adhin Luthfi Indrawan Adhinda Adeliana Putri Aida Sucia Aji Nata Sobari Al Afif Abdurrahman Aldi Tamangunde Alif Prambudi Fadillah Akbar Aliya Tazkiya Fajriyati Alya Mustika Anandha Pramudhita Andrianto, Joan Rhobi Ariel Abdurrozak Arya Abdul Mughni Arya Nugraha Arya Sultansyah Asgar Maulana Astri Sri Rahayu Azhar Havis Cahya Purnama Aji Candra Aeni Chintya Racheysa Hazna Chris Hendry Choong Danti Rosdianti Dede Ardiansah Denita Alhamdina Putri Arisandi Destyan Fadillah Akbar Devan Zulfangga Dewi Maharani Eki Muhammad Heris Elsa Nur Aripin Encep Sopandi Esa Aprillah Farid Zia Ulhaq Firmansyah Firmansyah Hadikaryana, Oscar Haekal Abdullah Ali Akbar Fajar Ramadhan Haqiqy Hakim Hendri Purnandi Hendri Purnandi Heri Bani Jumawan Hindun, Nurmala Idham Nurcahya Muharam Iffah, Nur Ihsan Alfazri Ikhsan Akbar Muslim Iqbal Yudiana Irman Hariman Iwan Eka Putra Judijanto, Loso Khairunnisa Dwi Wahyuningtyas Laksamana Raihan N Leo Restu Septian Rhaka Nugraha Loso Judijanto M. Abie Rafdi Fauzy M. Ridho M. Sunandi Miftah Nur Rohman Miftah Rizkia Aldira Mughni Al Muzaki Muhamad Aditya Suhendar Muhamad Ardho Surya Leksana Muhamad Ghozali Muhamad Nabil Arrafi Muhammad Ghozali Muhammad Hafizha Ramahdani Muhammad Lukman Abdurahman Muhammad Rasyid Shiddiq Muhammad Supyan Nabila Desiana Neng Eva Masliah Nurwijayanti Oscar Hadikaryana Padjrin Fauzi Piqri Nabila Mulia Prayogi Nur Aldi Putra, Iwan Eka Putri Nur Hasanah Raafi Syarahil Azhar Raafi Syarahil Azhar Rahman Fauza Rahman, Alkautsar Rahmat Hidayat Ratna Santika Reksi Zender Perdian Restu Rahmat Fajri Rian Hidayat Ridwan Rifa Vida Zahrani Risnawati Agustin Hutabarat Rizqia Noerlidha Rohman Fajar Ruth Rize Paas Megahati S Salsabila Rosnie Sam’un Hakeki Sandi Sandi Rosandi Saobandri, Ridwan Saripah Sindi Meilani Sinduano siti rahmah Siti Salwa Az’Zahra Suharyanto Suminar Suminar Suprihadi, Deni Syifa Khofifah Thomas Aldi Fikri Tiara Putri Latifani Dianata Trisna Prawijaya Tuti Rohayati Udan Yasri Yasri Yusup Supriyanto Zidan Fajar Abdillah