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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JURNAL MEDIA INFORMATIKA BUDIDARMA JTERA (Jurnal Teknologi Rekayasa) INTECOMS: Journal of Information Technology and Computer Science JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Building of Informatics, Technology and Science Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Madaniya Community Empowerment Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Applied Computer Science and Technology (JACOST) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Prosiding University Research Colloquium Borobudur Informatics Review Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat
Maimunah
Universitas Muhammadiyah Magelang, Magelang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences

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Implementasi Design Thinking dalam Perancangan UI/UX Rumah Sampah Digital Banjarejo Yusril Febriyanto; Pristi Sukmasetya; Maimunah Maimunah
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3135

Abstract

Garbage is a very serious problem, where the growth of waste is increasing day by day. Both the government and the public need to care about the waste itself, without any intervention from all of us, the waste problem will continue to grow and be difficult to overcome. For this reason, a waste bank was created which is expected to be able to reduce the rate of waste growth, as was done in the village of Banjarejo. But unfortunately the management of the waste bank in Banjarejo village had stopped. This is due to the lack of commitment from the waste bank management, and the decline in public trust and motivation to participate in the waste bank program. The purpose of this research is to revive the waste bank in Banjarejo village by digitizing the waste bank into the Banjarejo Digital Garbage House (RSDB). This research focuses on designing the web design of the Banjarejo Digital Garbage House (RSDB). The results of this study can later be tested on prospective users and waste bank admins in order to obtain test results. With the existence of the RSDB web system, it is hoped that it will be able to facilitate and foster the interest of the Banjarejo village community in efforts to clean the environment. This design uses the Design Thinking method. In the Design Thinking method there are 5 steps that must be carried out to get an idea and a solution, namely Empathize, Define, Ideate, Prototype, and Testing. Testing carried out on the prototype uses the Single Ease Question (SEQ). The results of the average SEQ score from the waste bank admin are 6.2 – 7. Meanwhile the average SEQ value results from the waste bank customers are 6 – 7. It can be concluded that the UI/UX on the RSDB prototype is easy to understand and according to user needs.
K-Means Clustering Method for Determining Waste Transportation Routes to Landfill Almas Nurfarid Budi Prasetyo; Maimunah Maimunah; Pristi Sukmasetya
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.540

Abstract

Waste is worsening in Magelang City, especially in urban areas. As a result of poorly managed waste disposal, a landfill is needed. Magelang City has a landfill called TPA Banyuurip, located in Plumbon Hamlet, Banyuurip Village, Tegalrejo Subdistrict, Magelang City. From this case, the application of the kmeans clustering method to determine the efficiency of the waste transportation route to the landfill is needed. The research began by conducting direct observations at the Banyuurip landfill by interviewing the drivers of waste vehicles to find out information such as waste sources, transportation schedules, etc. In this study, the data used are the name and address of the supplier, sub-district, coordinate point, and distance from the supplier's place to the landfill. After data collection, data preprocessing is done by dividing and selecting data based on sub-districts. Then the data is processed using the kmeans clustering algorithm to divide the route efficiency and the haversine formula algorithm to determine the closest distance between clusters. After the data has been successfully processed, the number of clusters is 4 for north Magelang, where each cluster will become a corridor with four routes. For central Magelang, 2 clusters with two routes, while for south Magelang, the results are 4 clusters with four routes. From these results, the evaluation results using silhouette score for data clustering of 3 sub-districts are 0.632560 for North Magelang, 0.640667 for Central Magelang, and 0.630186 for South Magelang. This method is expected to help in grouping routes and mapping supplier areas effectively and efficiently in the waste transportation process in Magelang City.
Dashboard Sistem Monitoring Volume Pengangkutan Sampah Ke Tempat Pembuangan Sampah Akhir Afif Prasetyo; Maimunah Maimunah; Pristi Sukmasetya
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 1 (2023): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v6i1.6379

Abstract

Penelitian ini membahas pentingnya pengelolaan sampah dalam menjaga keseimbangan antara lingkungan dan kepadatan penduduk di perkotaan. Sampah merupakan masalah yang memerlukan perhatian serius dari pemerintah dan masyarakat. Pemerintah Kota Magelang telah menghadapi kendala terkait ruang penampungan sampah dan jarak antara TPS dan TPA. Untuk mengatasi ini, dibuatlah sistem monitoring volume sampah sebagai platform efisien untuk mengumpulkan dan memantau data volume sampah yang masuk ke TPA. Pendekatan SDLC dengan model Waterfall digunakan dalam pengembangan website ini. Data volume sampah diperoleh melalui wawancara, observasi lapangan, dan data deret waktu. Website ini dibuat menggunakan perangkat lunak seperti Visual Studio Code, Database, Bootstrap, dan Font Awesome untuk tampilan yang menarik dan responsif. Implementasi Sistem Informasi Pengelolaan Data Volume Sampah di TPSA Banyuurip membantu petugas dalam mencatat jumlah sampah dan memperbarui data dari TPS, Armada, dan Supir. Uji pengguna dilakukan untuk meningkatkan antarmuka dan pengalaman pengguna. Dengan pengelolaan sampah yang terus ditingkatkan, diharapkan tercipta kebersihan dan keberlanjutan lingkungan yang baik.
K-Means Clustering Method for Determining Waste Transportation Routes to Landfill Almas Nurfarid Budi Prasetyo; Maimunah Maimunah; Pristi Sukmasetya
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.219

Abstract

Waste is worsening in Magelang City, especially in urban areas. As a result of poorly managed waste disposal, a landfill is needed. Magelang City has a landfill called TPA Banyuurip, located in Plumbon Hamlet, Banyuurip Village, Tegalrejo Subdistrict, Magelang City. From this case, the application of the kmeans clustering method to determine the efficiency of the waste transportation route to the landfill is needed. The research began by conducting direct observations at the Banyuurip landfill by interviewing the drivers of waste vehicles to find out information such as waste sources, transportation schedules, etc. In this study, the data used are the name and address of the supplier, sub-district, coordinate point, and distance from the supplier's place to the landfill. After data collection, data preprocessing is done by dividing and selecting data based on sub-districts. Then the data is processed using the kmeans clustering algorithm to divide the route efficiency and the haversine formula algorithm to determine the closest distance between clusters. After the data has been successfully processed, the number of clusters is 4 for north Magelang, where each cluster will become a corridor with four routes. For central Magelang, 2 clusters with two routes, while for south Magelang, the results are 4 clusters with four routes. From these results, the evaluation results using silhouette score for data clustering of 3 sub-districts are 0.632560 for North Magelang, 0.640667 for Central Magelang, and 0.630186 for South Magelang. This method is expected to help in grouping routes and mapping supplier areas effectively and efficiently in the waste transportation process in Magelang City.
Penerapan Algoritma K-Means Clustering untuk Daerah Penyebaran Sampah Kelurahan Yantria Gusta Nugraha; Maimunah Maimunah; Pristi Sukmasetya
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.4158

Abstract

Waste in Indonesia, especially in Magelang City, has become a serious problem due to rapid population growth. Waste management issues, including landfills and collection, need effective handling. Data mining methods, such as K-Means clustering, can help identify areas with the highest levels of waste generation. This approach provides insights for the development of a more focused and efficient waste management strategy, a significant contribution to the improvement of Magelang City. By identifying the areas with the highest waste generation, waste management measures can be directed more efficiently and effectively. This includes increasing the transparency, capacity, and role of waste banks, as well as other efforts to reduce the negative impact of waste on the environment and human health. After clustering, the waste in Magelang City was grouped into 3 clusters according to the supplier area and the volume of waste. Then after the evaluation stage with the silhouette score displays a value of 0.79 which is a good value because it is close to the value of 1.0. With this method, it is expected that the city government in handling waste in Magelang city can be done optimally, efficiently, and on target
Arsitektur Convolutional Neural Network untuk Model Klasifikasi Citra Batik Yogyakarta Arya Prayoga; Maimunah; Pristi Sukmasetya; Muhammad Resa Arif Yudianto; Rofi Abul Hasani
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.486

Abstract

Batik is an Indonesian culture that has been recognized as a world heritage by UNESCO. Indonesian batik has a variety of different motifs in each region. One area that is famous for its batik motifs is Yogyakarta. Yogyakarta has a variety of batik motifs such as ceplok, kawung, and parang which can be differentiated based on the pattern. Yogyakarta batik motifs need to be preserved so they do not experience extinction, one way is by introducing Yogyakarta batik motifs. The recognition of Yogyakarta batik motifs can utilize technology to classify images of Yogyakarta batik motifs based on patterns using the Convolutional Neural Network (CNN). The Yogyakarta batik motif images used for classification totaled 600 images consisting of 3 different motifs such as ceplok, kawung, and parang. Image classification using CNN depends on the architectural model used. The CNN architecture consists of two stages, namely Convolutional for feature extraction and Neural Network for classification. The CNN architectural models made for the introduction of Yogyakarta batik motifs totaled 7 models which were distinguished at the feature extraction stage. The highest accuracy results in the classification of Yogyakarta batik motif images using CNN were obtained in the 6th model. The 6th model has an accuracy of 87.83%, an average precision of 88.46% and an average recall of 87.66%. The accuracy, precision, and recall values ​​obtained by the 6th model are above 80%, which means that the 6th model can classify Yogyakarta batik motifs quite well.
Implementasi Algoritma Brute Force Pada Sistem Pertanahan di Balai Desa Ajeng Tri Rahayu; Mukhtar Hanafi; Maimunah Maimunah
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3361

Abstract

Development epoch in era globalization like current information systems utilizing computer technology which is very sophisticated and modern will facilitate data processing which can save time and cost. Result information obtained will facilitate data processing which can save or agencies that utilize artificial intelligence humans or is often called artificial intelligence (AI). Processing data and information fast and efficiently are important things which are needed by an agency, one is office hall village. Processing or archiving books C or Letter C this village still uses manual methods with recording or writing data at books archives villages and views reworked sequence number parcel book C or Letter C previous: to record numbers on owners of old land and owner new land. The way is certainly not efficient because it will require a lot of books and take a lot of time to record data on ownership of land. Objective of this study i.e. implement algorithm brute force to facilitate the search owners land previous on archive electronic. Method development on a system which is used in research is a brute force algorithm in searching for land data, string matching is a part of the string search process. The resulting land data is very dependent on the technique or algorithm carried out in matching the string. In this study, the algorithm used in string matching is brute force. This algorithm performs matching strings with shifts one by one patterns and adjusts them to text so that between Pattern and Text have patterns which are equal. Results analysis of studies This is in the form of trials trial matching strings-with algorithms brute force with studies case using search or search engine with programming language PHP to matching strings.
Penentuan Prioritas Pendaftaran Tanah Sistematis Lengkap Melalui Clustering Jumlah Sertifikat Hak Atas Tanah Menggunakan K-Means Hanaki Restu Putri; Maimunah Maimunah; Endah Ratna Arumi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.3928

Abstract

In carrying out its duties and functions to serve the community in the land sector, BPN Magelang Regency is still experiencing several obstacles such as in terms of filing and determining service priorities in 21 sub-districts in Magelang Regency. To improve the quality of BPN services in Magelang Regency, this research will build a system to assist file management and grouping of service priorities by implementing the K-Means Clustering method. The K-Means Clustering method was chosen because this method can calculate the grouping of several alternatives based on the criteria. The result of this study is that the application of a synchronized web-based PTSL application can make it easier for PTSL officers to manage land title registration files. In addition, the integration of K-Means Clustering calculations that are implemented into the system can be used as an approach tool in determining which districts are the priority for handling land certificate.
Co-Authors Achmat Mujafar Afif Prasetyo Afrilia Putri Permata Sari Ajeng Tri Rahayu Aldi Muhammad Nur Fadli Alfira Nisa Fadhilah Almas Nurfarid Budi Prasetyo Annisa Hakim Purwantini Arazka Firdaus Anavyanto Ardhin Primadewi Arya Prayoga Daffa Syahnakri Mikola Rusadi Danang Setya Nugraha Devara Avila Sebastian Dimas Sandya Nugraha Dwihantoro, Prihatin Emilya Ully Artha Endah Ratna Arumi Fachri Ilman Fauzandi Fitria Suryatini Hanaki Restu Putri Helmi Naufal Muzakki Henni Lestari Heru Yusmanto Hery Setiawan Ika Arthalia Imam Saputra Ira Nuryani Irfan Rasyid Irfan Reza Pratama Maulina Rizky Anggraeni Mayu Shofwan Khamid Muhamad Nurrohman Muhammad Aulia Tegar Pratama Muhammad Devananda Andika Putra Muhammad Resa Arif Yudianto Mukhtar Hanafi Nadila Dwi Saputri Oqi Dyah Larasakti Purwono Hendradi Raden Kartika Satya Suryanegara Rahendra Firman Sunartama Resa Arif Yudianto Resa Arif Yudianto Resa Arif Yudiyanto Rindiyani Rindiyani Rofi Abul Hasani Safira Ayu Muthi'ah Salsabila Putri Abhiseka Satrio Sukmasetya, Pristi Teddy Rahardian Uky Yudatama Wahyu Santoso Yantria Gusta Nugraha Yusril Febriyanto