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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Dinamika Pengabdian (JDP) JTT (Jurnal Teknologi Terpadu) Paradigma Journal of Sustainable Engineering: Proceedings Series Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Jurnal Ilmiah Intech : Information Technology Journal of UMUS Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Sains Indonesia DEVICE Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Pelitabangsa Journal of Artificial Intelligence and Digital Business Jurnal Lentera Pengabdian Proceeding International Pelita Bangsa Jurnal Pelita Pengabdian SAINTEK
Aswan Supriyadi Sunge
Informatics Engineering Department, Faculty Of Engineering, Pelita Bangsa University, Indonesia
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The Use of K-Means Algorithm Clustering in Grouping Life Expectancy (Case Study: Provinces in Indonesia) Nugraha, Dimas Reza; Zy, Ahmad Turmudi; Sunge, Aswan Supriyadi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4171

Abstract

Life expectancy is defined as information that illustrates the age of the death of a population. Life expectancy is a general picture of the state of a region. If the infant mortality rate is high, then the life expectancy in the area is low. And vice versa, if the infant mortality rate is low, the life expectancy in the region is high. Life expectancy is also a benchmark for government actions in improving the welfare of society and the human development index. For this reason, it is necessary to group life expectancy data to make it easier to determine the provinces with high, middle, and low life expectancy. The results of cluster testing using the silhouette score method showed that two subjects had a low silhouette score level, which caused the cluster value to be less than optimal, namely East Java  & Gorontalo. The clustering results found that the cluster was divided into 3, namely cluster 1, with a high level of life expectancy consisting of 10 provinces, namely East Java, Riau, North Sulawesi, Bali, North Kalimantan, DKI Jakarta, West Java, Central Java, East Kalimantan and Special Region of Yogyakarta. Cluster 2 has a level of middle-life expectancy consisting of 18 provinces, namely Gorontalo, North Maluku, Central Sulawesi, South Kalimantan, North Sumatra, Bengkulu, West Sumatra, Central Kalimantan, Aceh, South Sumatra, Banten, Kep. Riau, South Sulawesi, Kep. Bangka Belitung, Lampung, West Kalimantan, Southeast Sulawesi and Jambi. Cluster 3, with a low level of life expectancy, consists of 6 provinces, namely West Sulawesi, Papua, Maluku, West Papua, West Nusa Tenggara, and East Nusa Tenggara.
Comparative Analysis of Earthquake Prediction with SVM, Naïve Bayes, and K-Means Models: Comparative Analysis of Earthquake Prediction with SVM, Naïve Bayes, and K-Means Models Muttaqin, Ahmad Fadhiil; Sunge, Aswan Supriyadi; Zy, Ahmad Turmudi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5085

Abstract

Earthquakes are natural disasters with significant impacts on people and the environment, so effective methods for prediction are needed to improve preparedness and risk mitigation. This study analyzes the performance of three algorithms Support Vector Machine (SVM), Naïve Bayes, and K-Means in predicting earthquakes in Indonesia using a dataset containing 4,645 historical data from BMKG processed through preprocessing, data separation, analysis, and performance evaluation with RapidMiner tools. The results show that SVM has the best performance with 99.87% accuracy, 99.83% precision, and 95.61% recall, making it highly relevant for earthquake prediction. Naïve Bayes achieved 90.31% accuracy and 95.08% recall, but the low precision (57.24%) shows the limitations of this model. K-Means successfully clusters earthquakes into two categories: small (3,661 data) and large (55 data) earthquakes, with a Davies-Bouldin Index value of 0.579, reflecting good clustering quality. Based on these results, SVM is recommended as a superior earthquake prediction model, while Naïve Bayes and K-Means are more suitable for additional analysis. This approach confirms the potential of machine learning algorithms in supporting future earthquake risk mitigation.
Dampak Pelatihan Pembuatan Toko Online Berbasis E-Commerce Dengan Metode Rapid Prototyping Bagi Siswa Sekolah Menengah Kejuruan Sunge, Aswan Supriyadi; Pramudito, Dendy K. Pramudito; Prasetyo, Sutrisno Aji Prasetyo
JPM: Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v5i4.2326

Abstract

Learning in e-commerce development is vital in helping understand digital business concepts, especially in overcoming the limitations of conventional learning methods, such as listening, observing, and taking notes. By using the ADDIE model, which includes analysis, design, development, implementation, and evaluation, this learning process provides a systematic and comprehensive approach. In this training, you will not only gain theoretical knowledge but also practical skills in modifying and managing e-commerce platforms. This learning aims to be able to understand and carry out the process of creating and managing an online business while stimulating creativity and enthusiasm for entrepreneurship. The results of this learning show that e-commerce development is very effective in facilitating the understanding of concepts and helping link theory to the world of work. Apart from that, the level of satisfaction of the female students was very significant, and they felt more prepared to apply the knowledge they had gained. This training proves that e-commerce development not only provides a better understanding of business but also prepares you with relevant skills to face the challenges of an ever-evolving digital world.
Pelatihan Pembuatan Toko Online E-Commerce Terintegrasi Database MySQL Untuk Meningkatkan Kompetensi Digital Siswa Sunge, Aswan Supriyadi; Pramudito, Dendy; Susanto, Nanang; Nugraha, Arief
Jurnal Pengabdian Pelitabangsa Vol. 6 No. 02 (2025): Jurnal Pengabdian Pelitabangsa - Oktober 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jabmas.v6i02.6493

Abstract

Perkembangan teknologi digital menuntut untuk memiliki kompetensi di bidang teknologi informasi dan kewirausahaan digital. Namun, masih banyak yang belum memiliki keterampilan praktis dalam membangun dan mengelola toko online secara mandiri. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi digital siswa melalui pelatihan pembuatan toko online berbasis e-commerce yang terintegrasi dengan database MySQL. Metode pelaksanaan meliputi pemberian materi, praktik langsung, dan pendampingan dengan pendekatan Rapid Prototyping agar siswa dapat memahami tahapan pengembangan sistem secara sederhana dan aplikatif. Hasil kegiatan menunjukkan adanya peningkatan pemahaman terhadap konsep E-commerce serta kemampuan dalam membangun prototipe toko online sederhana. Kegiatan ini diharapkan dapat menjadi bekal bagi siswa dalam mengembangkan keterampilan kewirausahaan digital di masa depan.
SOSIALISASI DAN PENDAMPINGAN PEMANFAATAN AI UNTUK EFISIENSI PEMBUATAN BAGAN TANDING TURNAMEN PENCAK SILAT DI IPSI CIKARANG SELATAN Anshor, Abdul Halim; Sunge, Aswan Supriyadi; Wiyatno, Tri Ngudi; Erdi; Rismawati
Jurnal Dinamika Pengabdian Vol. 11 No. 2 (2026): JURNAL DINAMIKA PENGABDIAN VOL. 11 NO. 2 JANUARI 2026
Publisher : Departemen Budidaya Pertanian Fakultas Pertanian UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jdp.v11i2.46597

Abstract

Pengabdian ini bertujuan untuk membantu Ikatan Pencak Silat Indonesia (IPSI) Cikarang Selatan menyusun bagan tanding turnamen pencak silat sehingga lebih terorganisir dan terintegrasi dengan sistem pendaftaran online yang sebelumnya dilakukan secara manual sehingga sering menyebabkan keterlambatan, kesalahan penempatan peserta, dan jadwal pertandingan yang tumpang tindih. Selain itu untuk memberikan sosialisasi dan pelatihan kepada pengurus dan panitia turnamen pencak silat mengenai tata cara penggunaan kecerdasan buatan (artificail intelligence) untuk membuat bagan tanding yang efisien dengan metode pengacakan sederhana menggunakan aplikasi digital berbasis kecerdasan buatan yang dibuat dengan bahasa pemrograman PHP. Metode yang digunakan adalah sosialisasi dan edukasi pada mitra tentang penggunaan aplikasi, kegiatan menunjukkan bahwa sistem ini dapat meningkatkan efisiensi penyusunan bagan secara signifikan dari rata-rata 60 menit menjadi sekitar 15 menit dengan penghematan waku lebih dari 70%. Selain lebih cepat, tumpang tindih jadwal pertandingan dan kesalahan input dapat dihindari sehingga proses penyusunan lebih akurat dan dapat diandalkan. Bagan yang dihasilkan juga lebih teratur, dan siap dipublikasikan. Keunggulan lain dari sistem ini adalah fitur pendaftaran peserta secara online, yang memungkinkan panitia mengolah data langsung tanpa perlu mengetiknya lagi. Pelatihan yang diberikan kepada pengurus IPSI menunjukkan bahwa peserta cepat memahami sistem dan dapat menjalankannya secara mandiri. Secara keseluruhan, kegiatan ini berhasil mencapai tujuannya dalam membantu pengurus IPSI menemukan cara yang lebih baik untuk mengelola turnamen. Sistem ini masih dapat dikembangkan untuk memasukkan fitur tambahan seperti cetak hasil bagan secara otomatis, pembaruan jadwal secara real-time, dan integrasi laporan turnamen yang lebih lengkap.    Kata kunci: Pencak silat, IPSI, turnamen, digital, AI, PHP, real-time. ABSTRACT This service aims to assist the Indonesian Pencak Silat Association (IPSI) of South Cikarang in compiling a pencak silat tournament bracket so that it is more organized and integrated with the online registration system, which was previously done manually, often causing delays, participant placement errors, and overlapping match schedules. Additionally, it provides socialization and training to the administrators and committee members of the pencak silat tournament on how to use artificial intelligence (AI) to create an efficient match schedule using a simple randomization method with a digital application based on artificial intelligence created with the PHP programming language. The method used was socialization and education of partners on the use of the application. The activity showed that this system can significantly increase the efficiency of charting from an average of 60 minutes to about 15 minutes, with a time saving of more than 70%. In addition to being faster, overlapping match schedules and input errors can be avoided, making the charting process more accurate and reliable. The resulting charts are also more organized and ready for publication. Another advantage of this system is the online participant registration feature, which allows the committee to process data directly without having to retype it. The training provided to IPSI administrators showed that participants quickly understood the system and were able to run it independently. Overall, this activity successfully achieved its goal of helping IPSI administrators find better ways to manage tournaments. This system can still be developed to include additional features such as automatic printing of bracket results, real-time schedule updates, and more comprehensive tournament report integration. Keywords: Pencak silat, IPSI, tournament, digital, AI, PHP, real-time.
Co-Authors Abdul Halim Anshor Afriantoro, Irfan Agung Nugroho Agus Supriyadi Agus Suwarno, Agus Ahmad Turmudi Zy Aji, Prasetyo Wicaksono Amali, Amali Anggara, Bangkit Akbar Anshor, Abdulhalim Antika Zahrotul Kamalia Aprilia Nur Sa'adah Budiarto, Eko Dendy K. Pramudito Dendy K. Pramudito Dodit Ardiatma Edora, Edora Edy Widodo Edy Widodo Erdi Fatchan , Muhammad Febyan Sulastri Fitri Rezeki Hamdani Hamdani Hamzah Muhammad Mardi Putra Juan Fakhri Khalis Sofi Kurniasih, Nabila Listian Indriyani Achmad Miftahuljannah Muttaqin, Ahmad Fadhiil Nanang Susanto Nanang Tedi Kurniadi Naya, Candra Nugraha, Arief Nugraha, Dimas Reza Pramudito, Dendy K. Pramudito, Dendy K. Pramudito Prasetyo, Sutrisno Aji Prasetyo, Sutrisno Aji Prasetyo Pratama, Nur Priyo, Basuki Edi R. R. Wening Ken Widodasih Riady, Sasmitoh Rahmad Rismawati Sari, Putri Anggun Septiawan Dwi Pramukti Suprapto Suprapto Suzanna, Suzanna Tedi Kurniadi, Nanang Tedi, Nanang Tri Ngudi Wiyatno Tyas Ismi Trialfhianty Warnars, Harco Leslie Hendric Spits Wiyanto, Tri Ngudi Wulandari, Anna Zahrotul Kamalia, Antika Zy, Ahmad Turmudi