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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Mantik INFOKUM Journal Zetroem Syntax: Journal of Software Engineering, Computer Science and Information Technology Bulletin of Computer Science Research Instal : Jurnal Komputer Bulletin of Information Technology (BIT) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Minfo Polgan (JMP) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Masyarakat Indonesia Jurnal Sistim Informasi dan Teknologi Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Jurnal Ilmu Komputer dan Sistem Informasi Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik Dan Multi-disiplin Ilmu
Amin, Muhammad
Universitas Pembangunan Panca Budi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences

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AN INTELLIGENT LEARNING-DRIVEN FOR DYNAMIC WASTE COLLECTION ROUTING USING LSTM AND EVOLUTIONARY CVRP OPTIMIZATION Muhammad Amin; Muhammad Iqbal; Irvanizam Irvanizam
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8357

Abstract

Inefficient waste collection routes result in significant operational costs and environmental impacts. Traditional static routes based on historical averages often deviate substantially from actual requirements. This study proposes an intelligent framework integrating Long Short-Term Memory (LSTM) networks for dynamic time-series forecasting with an Evolutionary Capacitated Vehicle Routing Problem (CVRP) optimizer. The LSTM model captures temporal waste generation patterns using a 7-day sliding window; these patterns are fed into a metaheuristic optimizer that minimizes travel distance to disposal sites while eliminating redundant trips. Experimental results demonstrate high prediction accuracy, with the Mean Squared Error (MSE) converging at 0.0001 during the validation phase. Furthermore, the optimization process achieved a 10.95% reduction (22.5 km/day) in average travel distance compared to the baseline model. In high-density scenarios, the framework improved route efficiency by up to 15.99%. The study concludes that combining deep learning memory capabilities with evolutionary optimization provides a reliable decision-support system for smart city waste management..
ANALYSIS OF GEOGRAPHIC INFORMATION DESIGN FOR HOTEL LOCATIONS IN LAU GUMBA VILLAGE BASED ON ANDROID Muhammad Amin; Chairul Rizal; Adityia Rama Sanjaya
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i02.3160

Abstract

Lau Gumba Village is a village located in Brastagi District, Karo Regency, North Sumatra Province which is quite well known because it has quite interesting tourist objects to visit. The information system that presents information on tourist attractions in the village only displays pictures and names which are presented in the form of maps, newspaper and web advertising media that do not provide direct instructions to the destination tourist location. The problem obtained from the media information for tourists is that they do not get direct instructions on the location of the tourist attraction geographical position. This requires technology that can present tourist attraction information, namely Geographic Information Systems (GIS). So that tourists who want to travel to Lau Gumba Village but still don't know the location or place of an interesting tourist attraction to visit can be known by tourists who will visit. To overcome this problem the author uses an approach to a digital mapping model in the form of a GIS (Geographical Information System) based on an Android mobile using Google Maps as a digital map. The method used in this research is using UML (Unifed Modeling Language), PHP program, java and MySQL database as data storage. The Geographic Information System (GIS) for natural tourism objects has two programs, namely an admin program to manage web-based tourism data and a user program to display android-based tourist objects. This geographic information system aims to provide convenience and speed to the public in obtaining information about Natural Tourism Objects in Lau Gumba Village
Co-Authors Adityia Rama Sanjaya Agung Purnomo Sidik Agung Purnomo Sidik Ahmad Dzaky Rahmatullah Ahmad Jihad Al Fayed Aldy Agustian Andika Syahdewa Andisyah Putra Andri Saputra Andysah Putera Utama Siahaan Apriwati Barus Ardiansyah Ari Pratama Aulia Manurung Ayu Wilana Bayu Eka Susanto Chairul Rizal Darma Juang Eka Pandu Cynthia Fadhlan Ihsan Lubis furqan Hadi Nasbey Hengki Gunawan Herdianto Herdianto Heri Kurniawan Hermansyah Irvanizam Irvanizam Khairul Kiki Wulandari Marsini Sibuea Maulidania Mediawati Chinthia Muhammad Hasanuddin Muhammad Hasanuddin Muhammad Hizbul Aqsha Muhammad Iqbal Muhammad Irfan Sarif Muhammad Syahdi Nasution Muhammad Syahputra Novelan Muhammad Zen Munadi Munadi Natalia Hernawaty Nahampun Nur Azizah Harahap Nur Ramadhani Pandi Barita Nauli Simangunsong Perianus Lombu Pristiwanto Rahmadani Rahmadani Rahmat Idhami Rajatua Batubara Ramadhan Harahap Riandy Putratama Nasution Ricky Sepjo Ridwan Robet Silaban Sella Monika Br Tarigan Silvia Kartika Suherman - Sujatmiko Ginting Supiyandi Supiyandi Surya Darma Surya Maruli P Pardede Syahrial Sitorus Taufa Fadly Wirda Fitriani