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All Journal Jurnal SOLMA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jiko (Jurnal Informatika dan komputer) Indonesian Physical Review Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Hadian Mandala Putra
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Pelatihan Kecerdasan Buatan Untuk Mendukung Kegiatan Belajar Mengajar Guru Ma Nwdi Kelayu Mandala Putra, Hadian; Wahidah, Ida; Iman Darmawan, Muhammad; Nuzuluddin, M
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 1 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i1.31051

Abstract

This Community Service Program focuses on training teachers at Madrasah Aliyah NWDI Kelayu to utilize artificial intelligence and cloud technology to support teaching and learning activities. In the Society 5.0 era, the ability to integrate modern technology into education is crucial. This program aims to enhance teachers' competencies in adopting technologies such as Gamma, Question Well, and ChatGPT, and utilizing Google services like Google Drive and Google Forms. The training was conducted intensively through theoretical and practical sessions designed to strengthen teachers' technical understanding and skills. The results of this training indicate a significant improvement in teachers' ability to implement technology in the learning process. Trained teachers are now capable of using these technologies to create more interactive and efficient learning experiences, which, in turn, are expected to improve student outcomes. This program is also expected to serve as a model for similar initiatives in other schools aiming to adopt technology in education
POLY ORGANIC POLYMER (3-HEXYLTHIOPHENE) P3HT as LIGHT SENSITIVITY in PROTOTYPE DYE-SENSITIZED SOLAR CELLS (DSSC) Darmawan, Muh Iman; Cari, Cari; Supriyanto, Agus; Putra, Hadian Mandala; Fathurrahman, Fathurrahman
Indonesian Physical Review Vol. 4 No. 2 (2021)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v4i2.84

Abstract

This research aims to review the characteristic of the nature of electricity polymer material poly(3-hexylthiophene) P3HT against increasing efficiency solar cells based on dye-sensitized solar cells (DSSC). The testing sample has done electricity P3HT el-kahfi 100/ I-V meter. The optical properties use spectrophotometer UV visible 1601 PC and characterizing IV DSSC use Keithley 2600 a type. The absorbance of P3HT polymer 1% has an absorption peak in the wavelength range of 300-650 nm. Thus the P3HT polymer material can absorb light in the visible wavelength range. The electrical properties of P3HT 1% indicate that the material has a response to light. In bright conditions, P3HT 1% shows a conductivity of 3.7x10-3Ω-1m-1 and in dark conditions 2.2x10-3Ω-1m-1. Meanwhile, Pt (Hexacloroplatinic IV) Platina as the opposing electrode can improve the performance of DSSC, which is because Pt (Hexacloroplatinic IV) functions as a catalyst to accelerate the redox reaction with electrolytes. The use of P3HT 1% can improve DSSC performance. DSSC using 1% P3HT and using Pt (Hexacloroplatinic IV) as the opposing electrode produced an efficiency value of 1.8x10-2%.
APPLYING K-MEANS ALGORITHM FOR CLUSTERING ANALYSIS EARTHQUAKES DATA IN WEST NUSA TENGGARA PROVINCE Kertanah, Kertanah; Rahadi, Irwan; Aryani Novianti, Baiq; Syahidi, Khaerus; Sapiruddin, Sapiruddin; Mandala Putra, Hadian; Gazali, Muhammad; Haiban Hirzi, Ristu; Sabar, Sabar
Indonesian Physical Review Vol. 5 No. 3 (2022)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v5i3.148

Abstract

This study aims to cluster and visualize the earthquake data on a geographical map to determine earthquakes' characteristics using the k-means algorithm. Cluster analysis using the k-means algorithm was carried out on the earthquake data. K-means algorithm is familiar and is one of the well-known techniques to have been applied in cluster analysis. One of Its advantages in cluster analysis is scaling large datasets, for example, earthquake data. The data used in this study is earthquake data in the West Nusa Tenggara from 1991 to 2021. Applying the proposed k-means algorithm, the optimal number of clusters (k) used in this clustering is 2, based on the highest silhouette score of 0.749. The cluster analysis on the geographical map showed that the epicenters of the earthquakes were pretty spread out before 2018, and the number of earthquakes in the eastern region of West Nusa Tenggara is more than in the western area. However, in 2018, the clusters were all bunched in the northern Lombok region. There were a few earthquakes in the west region in 2018, but they happened before August 5. Even after 2019, most earthquakes continue to occur, with the epicenters clustered close to the northern Lombok region  
Penerapan Metode Weighted Product Pada Sistem Pendukung Keputusan Pemilihan Calon Dosen Pembimbing Skripsi Suhartini, Suhartini; Permana, Baiq Andriska Candra; Purwa, Lalu Sahibul; Putra, Hadian Mandala
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23971

Abstract

Decision Support System is a computer system that processes data into information to make decisions regarding specific semi-structured problems. It is specially developed to support solutions for unstructured management issues to enhance the quality of decision-making. The selection of potential thesis advisors at Hamzanwadi University's Informatics Engineering program is currently done by directly choosing an advisor while considering individual criteria or by seeking advice from peers. However, this direct selection method sometimes overlooks crucial aspects that should be prioritized. This research aims to construct a web-based Decision Support System (DSS) to assist final-semester students in the Faculty of Engineering at Hamzanwadi University in selecting their thesis advisors. The methodology employed in this Decision Support System is the Weighted Product method, which enables the calculation and comparison of multiple factors during the decision-making process. Factors analyzed in this study encompass the instructors' competency areas and the number of students they supervise. The utilization of this Decision Support System is expected to aid students in choosing an appropriate and fitting thesis advisor according to their needs. Moreover, the Decision Support System is anticipated to aid the faculty in providing information about potential thesis advisors before students finalize their choices. This research is expected to contribute to and benefit the development of information technology in the education sector
Teknik Komputer Mengabdi : Pelatihan Komputer Di Yayasan Bina Insani Al Muhyin Naba Pringgasela Akbar, Taufik; Nuzuluddin, Muhammad; Putra, Hadian Mandala; Ahmadi, Ahwan; 'Alimudin, 'Alimudin; Dewi Patwari, Intan Komala
Jurnal Teknologi Informasi untuk Masyarakat Vol. 1 No. 2 (2023): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v1i2.24739

Abstract

The computer training at the Bina Insani Al Muhyin Naba' Foundation in the village of Pringgasela is a strategic effort to enhance digital literacy and technological skills among students at the junior high school level. This program discusses the implementation of computer training as an initiative to equip students with a profound understanding of computer usage and the latest technology. The training aims to prepare students for the digital era, provide equal access to educational opportunities, and stimulate local economic development. Through an integrated curriculum and active participation from stakeholders, computer training at the Bina Insani Al Muhyin Naba' Foundation in the village of Pringgasela creates an inclusive and sustainable learning environment. Evaluation results show a significant improvement in students' digital literacy, which is expected to contribute to their readiness to face the demands of an increasingly digitally connected society. By combining formal education approaches and community development, this computer training has the potential to create positive impacts not only within the school environment but also in enhancing the overall quality of life and economic potential of the Pringgasela community.
Pelatihan Internet of Things (IoT) guna Meningkatkan Kompetensi Siswa SMKN 1 Pringgabaya Mandala Putra, Hadian; Nuzuluddin, M.; Akbar, Taufik; Ahmadi, Ahwan
Jurnal Teknologi Informasi untuk Masyarakat Vol. 2 No. 1 (2024): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v2i1.26381

Abstract

Increasing competence is very necessary for SMK students to improve their insight and knowledge in a world with very rapid technological developments. Increasing competence certainly supports students in preparing for the world of work and becomes a provision for higher education with appropriate fields of competence. In this case, the Computer Engineering Study Program of Hamzanwadi University takes a role in community service by providing Internet of Things (IoT) training to support the competence of vocational students. The competency improvement training was given to students of SMKN 1 Pringggabaya, East Lombok, with a total of 40 students. The training provided was in the form of IoT implementation for intelligent homes, in the form of Light Emitting Diode (LED) control as a substitute for house lights connected to the ESP32 microcontroller and several electronic components, while monitoring and controlling was carried out using a smartphone connected to the internet. In its implementation, the method used is to provide an understanding of the knowledge of IoT, and the application of IoT in several fields, followed by trying to practice the implementation of a smart home which is also implemented and tested directly by students. The results obtained from the training show students' interest in IoT implementation and enthusiasm for understanding IoT implementation now.
Antigonon Leptopus Extract as a Renewable Energy Source Material for the Development of Dye-Sensitized Solar Cells (DSSC) Darmawan, Muhammad Iman; Mandala Putra, Hadian; Ali Majdi, Yogi Stiamil; Gunawan, Istajir Adi
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 3 (2025): Oktober
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i3.1804

Abstract

Solar cells are devices composed of solar panels that convert light into electrical energy. Conventionally, energy is primarily derived from fossil fuels, which are non-renewable resources. Consequently, many researchers have sought alternative sources of energy. One such innovation is the Dye-Sensitized Solar Cell (DSSC). This study aims to investigate the effect of Antigonon leptopus flower dye as an active material in Dye-Sensitized Solar Cells (DSSC). The absorbance testing was conducted using a UV-Visible Spectrophotometer (1601 PC), while current and voltage (I–V) measurements were carried out using a Keithley instrument. The results showed that the natural dye extracted from the leaves of Antigonon leptopus exhibited an absorbance spectrum in the range of 200–800 nm. These findings suggest that Antigonon leptopus has potential as a natural sensitizer material for application in Dye-Sensitized Solar Cells (DSSC).
Pelatihan Keamanan Siber Kolaboratif Bagi Siswa-Siswi SMA/MA Guna Menumbuhkan Budaya Sadar Keamanan Informasi Sejak Dini Ahmadi, Ahwan; Akbar, Taufik; Putra, Hadian Mandala; Ahmad, Ramli; Patwari, Intan Komala Dewi
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20758

Abstract

Pendahuluan: Program pelatihan keamanan siber kolaboratif bagi siswa-siswi SMA/MA unggulan se-Pulau Lombok bertujuan menumbuhkan budaya sadar keamanan informasi sejak dini. Kegiatan melibatkan sembilan sekolah dengan total 27 peserta. Metode: Teori, praktik, dan diskusi kelompok. Materi mencakup keamanan siber dasar, steganografi gambar, keamanan trivia, dan digital forensik. Tiga hari pertama berfokus pada pembekalan teori secara daring, sedangkan hari terakhir berupa praktik langsung di laboratorium Fakultas Teknik Universitas Hamzanwadi. Evaluasi dilakukan menggunakan kuis Google Form serta praktik analisis digital untuk mengukur pemahaman siswa.  Hasil: Peningkatan kemampuan peserta dalam menjawab soal teori dan praktik, serta pemahaman yang lebih baik terhadap teknik keamanan informasi. Kesimpulan: Program ini efektif dalam membangun kesadaran keamanan digital serta membuka peluang karier di bidang keamanan siber bagi generasi muda.
Implementasi Algoritma K-Means Dengan Optimasi Elbow Untuk Pengelompokkan Kepuasan Konsumen Gen Z Dalam Berbelanja Online Nur, Amri Muliawan; Muhammad Saiful; Mandala Putra, Hadian; Tiara Febrianti
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 3 No. 2 (2025): Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jprinter.v3i2.33217

Abstract

The development of digital technology has driven the increasing trend of online shopping, especially among Gen Z who actively use social media such as TikTok Shop. Therefore, it is important for business actors to understand the consumer satisfaction window to improve marketing strategies and maintain consumer loyalty. This study aims to analyze the grouping of Gen Z consumer satisfaction in East Lombok in online shopping at TikTok Shop using the K-Means algorithm and with Elbow optimization to determine the optimal number of clusters. The data used in this study were obtained by distributing questionnaires to 507 Gen Z respondents in East Lombok in 2025, with six main variables: product quality, product price, delivery, ease of application, influencer influence, and overall satisfaction. The results of the analysis using Google Colab showed the formation of three main clusters: Cluster 1 with a high level of satisfaction of 169 respondents, Cluster 2 with a moderate level of satisfaction of 255 respondents, and Cluster 3 with a low level of satisfaction of 83 respondents. Each cluster has different characteristics in assessing satisfaction variables. This information can be used as a reference for business actors on TikTok Shop in developing more effective marketing strategies
Pelatihan Pemanfaatan Kecerdasan Buatan untuk Meningkatkan Kreativitas dan Literasi Digital Siswa MA Mu'allimat NWDI Kelayu Ida Wahidah; Putra, Hadian Mandala; Darmawan, Muhammad Iman; Nuzuluddin, M
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 2 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i2.33228

Abstract

The integration of technology in education, particularly Artificial Intelligence (AI) and Cloud Computing, is crucial in facing the Society 5.0 era. This study aims to analyze the effectiveness of AI and cloud technology training and its impact on students' understanding and perception. The research method utilized a quantitative descriptive approach through pre-implementation and post-implementation questionnaires distributed to 35 respondents, predominantly aged 16-18 years. Initial survey results indicated that while 77.1% of students had heard of AI, there was a gap in understanding, with 34.3% of respondents feeling they had poor or no understanding at all. Furthermore, cloud technology usage remained low, with 48.6% of students stating they had never used it. Following the training implementation, evaluation showed significant improvement, where 77.1% of respondents felt they understood the utilization of AI and cloud technology better. Participant satisfaction was high, with 85.8% rating the material as useful to very useful. The primary challenge identified was a lack of foundational understanding (65.7%). Overall, the program successfully enhanced participants' digital literacy, with 77.1% of students hoping that these technologies will improve the quality of learning in the future.
Co-Authors 'Alimuddin 'Alimuddin, 'Alimuddin 'Alimudin, 'Alimudin Agus Supriyanto Ahmad, Ramli Ahmadi, Ahwan Alfathani, Ahmad Soni Ali Majdi, Yogi Stiamil Alimudin Alimudin Alimudin Alimudin, Alimudin Aris Sudianto Arnila Sandi Aryani Novianti, Baiq Baiq Andriska Candra Permana Baiq Vinaru Widarina Bayu Delta, Irgi Cari, Cari Dewi Patwari, Intan Komala Falinda, Wahyunita Fathurrahman Fathurrahman Fathurrahman, Imam Febriyanti, Erma Dwi Gunawan, Istajir Adi Haeruzzikri, Haeruzzikri Hafifan Triadi Putra, Ahmad Hamzan Ahmadi Hasan, Muhammad Arif Ida Wahidah Ida Wahidah Ida Wahidah Hamzah Iman Darmawan, Iman Iman Darmawan, Muhammad Iman, Ahsanul Intan Komala Dewi Patwari Istajir Adi Gunawan Kertanah, Kertanah Khaerus Syahidi M. Nuzuluddin Moh Farid Wajdi Muh. Adrian Juniarta Hidayat Muhammad Djamaluddin Muhammad Gazali Muhammad Saipul Muhammad, Saiful Nur, Amri Muliawan nurhidayati, nur ida Nurul Hidayati Nuzuluddin, M Nuzuluddin, M. Nuzuluddin, Muhammad Purwa, Lalu Sahibul Putri, Intan Komala Dewi Rahadi, Irwan Ramdan, Muh. Rais Ristu Haiban Hirzi, Ristu Sabar Sabar Sapiruddin, Sapiruddin Satriadi, Ari Shofwatunnida Septarini Sobri, Muhammad Imtihan Suhartini Suhartini Suhartini Suhartini, Suhartini Taufik Akbar Tiara Febrianti Wahyu Rizki Wijaya, Lalu Kerta Yogi Istamil Ali Majdi