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Hendra Pradibta
Politeknik Negeri Malang
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THE IMPLEMENTATION OF THE OJIR APPLICATION AT CENTRAL WASTE BANK IN MALANG DISTRICT FOR THE MANAGEMENT OF HOUSEHOLD-SCALE ORGANIC WASTE DIVERSIFICATION PROCESSES Nurhasan, Usman; Rohadi, Erfan; Nurindrasari, Diana; Arianto, Rakhmat; Pradibta, Hendra
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 4 (2023): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i4.2163

Abstract

The Ojir application, a mobile-based innovation for organic waste management at Central Malang Waste Bank (BCM), provides an effective solution to streamline the collection and management of organic waste. Addressing environmental concerns such as food scraps, dry leaves, and fruits, the application responds to Ministry of Environment and Forestry (KLHK) data indicating that approximately 61.50% of total waste is organic, necessitating efficient management to reduce waste volume. Established in 2016, BCM faced challenges in manual data management and limited organic waste search capabilities. To address these issues, Ojir was introduced to modernize the organic waste management system. This innovation surpasses traditional waste management by incorporating a process of diversifying organic waste into maggot raw material. Beyond resolving existing waste bank issues, Ojir enhances management efficiency, allowing users to easily track and manage organic waste with increased accuracy. Consequently, the paradigm of organic waste management shifts towards modernity, effectiveness, and efficiency. Aligned with efforts to create a clean and sustainable environment, Ojir represents an innovative step in reinforcing the role of waste banks in handling organic waste in the technological era. The incorporation of the maggot raw material process further exemplifies the forward-thinking approach in sustainable waste management
Model Otomatisasi Cerdas Berbasis data Spasial untuk Prioritas Perbaikan Jalan Rusak Nurhasan, Usman; Pradibta, Hendra
Jurnal Informatika Polinema Vol. 12 No. 1 (2025): Vol. 12 No. 1 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i1.8654

Abstract

Kerusakan jalan berdampak signifikan terhadap keselamatan dan efisiensi sosial-ekonomi. Pendekatan manual dalam menentukan prioritas perbaikan seringkali tidak akurat, terutama di wilayah dengan karakteristik spasial kompleks seperti Kabupaten Pasuruan. Penelitian ini mengusulkan sistem rekomendasi cerdas berbasis data spasial menggunakan model hybrid, yang mengintegrasikan metode Simple Additive Weighting (SAW) untuk perankingan dan Random Forest (RF) untuk validasi klasifikasi. Dataset mencakup 100 segmen jalan dengan atribut spasial dan non-spasial. SAW berhasil mengklasifikasikan segmen ke dalam tiga kelas prioritas dengan tingkat konsistensi 92%, yang didukung oleh hasil RF. Model RF juga menunjukkan kinerja baik dengan precision, recall, dan F1-score rata-rata sebesar 0,87, serta mampu mengidentifikasi fitur penting. Integrasi SAW-RF dalam kerangka GIS terbukti efektif meningkatkan efisiensi dan transparansi. Prototipe ini berpotensi untuk direplikasi di daerah lain menggunakan platform open source
Co-Authors Aditya Bagus Wirawan Agustina Sulkanawatul al Saffa, Aulia Umar Nur Anak Agung Bagus Wirawan Ananda Ayu Zahara Burhani Anugrah Nur Rahmanto Ari Rahmawati Ari Rahmawati Ariadi Retno Tri Hayati Ririd Atiqah Nurul Asri Aulia Umar Nur al Saffa Bagas Satya Dian Nugraha Ba’ar Wasil Razzaq Budi Harijanto, Budi Christine Puspa Sanjaya Cindy Permatasari Dimas Trenggono Adi Dimas Wahyu Wibowo Dwi Puspitasari DWI PUSPITASARI Ekojono Ekojono Ekojono, Ekojono Elsa Apreliani Sutrisno Erfan Rohadi Fairuz Wiwanata, Ika Puspa Galang Rizka Maulana Habibi, Muhammad Ishaq Hafiz Kalam Abdillah Hilmy Setya Purnama Putra Indra Dharma Wijaya Indra Dharma Wijaya, Indra Dharma Luqman Affandi Luqman Affandi Maulana, Galang Rizka Melani, Erlin Muhammad Afif Hendrawan Muhammad Dwi Aldi Rizaldi Muhammad Ishaq Habibi Nurindrasari, Diana Prihatmanda, Ryan Akbar Rahmad, Cahya Rakhmat Arianto Razzaq, Ba’ar Wasil Rizaldi, Muhammad Dwi Aldi Rudy Ariyanto Rudy Ariyanto Ryan Akbar Prihatmanda Sanjaya, Christine Puspa Septian Enggar Sukmana Sulkanawatul, Agustina Usman Nurhasan Yuri Ariyanto Zahara Burhani, Ananda Ayu