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All Journal Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta CogITo Smart Journal JTERA (Jurnal Teknologi Rekayasa) Jurnal Sisfokom (Sistem Informasi dan Komputer) KACANEGARA Jurnal Pengabdian pada Masyarakat JSiI (Jurnal Sistem Informasi) JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Pendidikan dan Konseling Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal Investasi Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) Madaniya Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika Sekretari & Administrasi (Serasi) Jurnal Teknik Informatika (JUTIF) Teknika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Decode: Jurnal Pendidikan Teknologi Informasi Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Sisfotek Global Jurnal Algoritma Jurnal Ticom: Technology of Information and Communication Telematika MKOM AMMA : Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Jurnal Pengabdian Masyarakat Tekno INOVTEK Polbeng - Seri Informatika Jurnal Pintar Pengabdian dan Pemberdayaan Masyarakat
Triyono, Gandung
Universitas Budi Luhur
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PKM : Program Pemberdayaan Masyarakat Dalam Rangka Mewujudkan Masyarakat Peduli Lingkungan Agus Umar Hamdani; Putri Hayati; Gandung Triyono; Lis Suryadi
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 : Februari (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Community Service Activities (PKM) were initiated in response to environmental problems in residential areas, including limited greening facilities and suboptimal household waste management, particularly inorganic waste with potential functional and economic value. The lack of public awareness and recycling skills has contributed to declining environmental quality and minimal green open spaces. This program aimed to enhance community awareness and participation in environmental preservation through the utilization of recycled waste as planting media and the application of simple technologies based on vertical gardens and hydroponics. Methods included preliminary surveys, stakeholder interviews, counseling, hands-on training, mentoring, and evaluation using community satisfaction questionnaires. The results indicated an improvement in community knowledge and skills in processing inorganic waste into useful products, such as plant pots made from used plastic bottles. Pilot installations of vertical gardens and hydroponic systems also improved environmental aesthetics and served as sustainable educational media. Evaluation results showed that out of 50 respondents, 82% strongly agreed and 18% agreed with the implementation of the program, with no negative responses recorded. This indicates that the program had a highly positive impact and was well received by the community. Overall, the program contributed to enhancing environmental awareness, social participation, and community self-reliance in creating a clean, green, and productive environment, with strong potential for sustainable replication.
Perbandingan Algoritma K-Means dan K-Medoids untuk Klasterisasi Daerah Rawan Bencana di Indonesia Riski Amalia; Muhamad Rizky Syawalludi; Gandung Triyono
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3007

Abstract

Indonesia is one of the regions with a high level of natural disaster risk because it is geographically located between three major tectonic plates of the world. This condition makes Indonesia vulnerable to various types of disasters that occur almost every year in different regions, resulting in material losses and casualties. This study aims to compare the performance of two clustering algorithms, namely K-Means and K-Medoids, in grouping provinces in Indonesia based on their level of vulnerability to natural disasters, evaluated using the Davies–Bouldin Index (DBI). The analysis results show that the K-Means algorithm provides the best performance with a DBI value of 0.3932 at K = 3, forming three main categories: provinces with low to moderate vulnerability (35 provinces), high vulnerability (2 provinces), and very high vulnerability (1 province). Meanwhile, the K-Medoids algorithm produces the lowest DBI value of 0.5860 at K = 2, which divides provinces into two major groups of disaster risk levels. Based on this comparison, K-Means is considered more effective for mapping disaster vulnerability levels in Indonesia because it is able to represent risk patterns in greater detail. These findings are expected to serve as a reference for relevant agencies in formulating mitigation strategies and determining priority handling for regions with high disaster risk.
Decision Support System for Addressing Demotivated Students: A Comparative Analysis of SAW and TOPSIS Methods Reza Ariftiarno; Gandung Triyono; Ery Rinaldi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7049

Abstract

Abstract This study aims to determine the most optimal decision support system method and decision alternatives in the Accounting and Management study program, University of X which has experienced a decrease in learning interest or demotivation so that the study program can take special care for these students to continue studying. The methods used in this study are the SAW and TOPSIS methods with the criteria of GPA, time of study, parents' income, and distance from home. The test results show that the SAW method has the highest preference value compared to the TOPSIS method of 0.992 so it is feasible to apply in the Accounting and Management study program, University X, Bogor City. Penelitian ini bertujuan untuk menentukan metode sistem pendukung keputusan yang paling optimal serta alternatif keputusan di program studi Akuntansi dan Manajemen, Universitas X yang mengalami penurunan minat belajar atau demotivasi sehingga pihak program studi dapat mengambil penangan khusus terhadap mahasiswa tersebut agar tetap melanjutkan perkuliahan. Metode yang digunakan pada penelitian ini, yaitu metode SAW dan TOPSIS dengan kriteria IPK, waktu studi, pendapatan orang tua, dan jarak rumah. Hasil uji menunjukan bahwa metode SAW memiliki nilai preferensi paling tinggi dibanding metode TOPSIS sebesar 0,992 sehingga layak diterapkan di program studi Akuntansi dan Manajemen, Universitas X, Kota Bogor.
Co-Authors - Sumardianto Abdul Hamid Abdurrahman, Faris Nur Achmad Ardiansyah Achmad Solichin Achmad Syarif Adhi, Ajar Parama Aditya Ikhbal Maulana Agus Umar Hamdani Aji Guntoro Ajinarasena Hermanu Al Ghozali, Isnen Hadi Al-akbari, Munawir Fikri Amirudin Amirudin Ananda Dian Nugraha Angga Prasetyo Anggita Pamukti Anggraini Ujianti Annisa Putri Gita Cahyani Anwarsyah, Anwarsyah Aris Subagyo, Wismoyo Asep Lukman Arip Hidayat Assegaf , Noval Azizi, Hibatul Azrul Azmani Chaerul, Muh Coudry Bernadeth Dana Indra Sensuse Daniel Iskandar Dede Wahyu Saputra Dermawan Ginting Devy Fatmawati Dini Astuti Dini Handayani, Dini Djafar, Muhammad Agung A. Djati Kusdiarto Dolly Virgian Shaka Yudha Sakti Dwi Kristanto Dyah Puji Utami Effendi , Muhtar Eliyani, Eliyani Ery Rinaldi Fachrurozy, Achmad Fadel, Muhamad Fahlevi, Noval Fajriah, Riri Febri Maulana Febrianti, Rizkia Saski Feby Lukito Wibowo Firmansyah, Maulana Gilang Ramadhan Hadi rahadian Hafiz, Rahmad Hakim, Sulaiman Hanifa, Annisa Hardjianto, Mardi Helmi Zulqan Hendra Adi Saputra Henny Idam Risnaputra Idmi, Idmi Iman Permana, Iman Indra Indra Jotri Firdani Maharaja Juhari Juhari, Juhari Jumaryadi, Yuwan Kanasfi, Kanasfi Kiki Ari Suwandi kosasih Kristiyantho, Yutdhi Lestari, Triardani Lis Suryadi Lis Suryadi, Lis Lutfan Lazuardi Luthfi Mawardi Mahendra, M. Azmi Malik Aziz Habibie Maruanaya, Greghar Juan Tjether Maskur A, Moch Riyadi Masnuryatie, Masnuryatie Maya Asmita Megananda Hervita P. Melyana, Melyana Mepa Kurniasih MHD. Reza M.I. Pulungan Moch. Rezaf Ivanka Haris Mohammad Aldinugroho Abdullah Muhamad Dikhi Rohman Muhamad Rizky Syawalludi Muhammad Dzakky Ikhwani Imaduddin Munandar, Muhamad Arief Muttaqin, Zaenul Naurah Huwaida Ningrum, Sekar Ayu Novandy, Axel Nurhikmah, Suci Oktiara, Dara Putri Ono Taryono Pebry, Fachry Ajiyanda Pirman, Arif Prasetia, Andika Rohman Prasetyo, Angger Totik Prasetyo, Sigit Ari Putri Hayati Rahmat Hidayat Ramadani, Romi Reza Ariftiarno Ridho Firmansyah Ridho Putra Kusmanda Riki Ramdani Saputra Rima Tamara Aldisa Rinto Prasetyo Adi Riski Amalia Rita Fransina Maruanaya Rizka Pitriyani Rizky Adhi Saputra Rizky Fernanda Aprianto Rizky Tahara Shita Rojakul, Rojakul Rudi Hartono Rudi Hidayat Ryan Prasetya Safrina Amini Samuel Samuel Septiadi, Septiadi Setyadin, Rahmat Dipo Siswahyudianto Sittah Ifadah Sri Hartati Sri Melati Subekti, Yogi Agung Sudiyatno Yudi Nugroho Sufyan Asaury, Akhmad Suriah Setiana Widiastuti SURYANI Syarif Hidayatulloh Tansya Ingmukti Tunggal Saputra, Tri Aji Tutik Lestari Umar Alfaruq Utomo Budiyanto Vasthu Imaniar Ivanoti Wahyu Adi Setyo Wibowo Wahyu Cesar, Wahyu Wahyuningram, Nugroho Warih Dwi Cahyo Wawan Gunawan Widyanto, Tetrian Wilsen Grivin Mokodaser Winasis, Reza Handaru Wisanto, Aditya Agus Wisnu Cahyadi Wulan Trisnawati Yasmin , Nadia Yeros Fathullah Achmad Zainal Arifin