Claim Missing Document
Check
Articles

Found 33 Documents
Search

Comparison of K-Medoids Method and Analytical Hierarchy Clustering on Students' Data Grouping Zahrotun, Lisna; Linarti, Utaminingsih; Suandi As, Banu Harli Trimulya; Kurnia, Herri; Sabila, Liya Yusrina
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1204

Abstract

One sign of how successfully the educational process is carried out on campus in a university is the timely graduation of students. This study compares the Analytic Hierarchy Clustering (AHC) approach with the K-Medoids method, a data mining technique for categorizing student data based on school origin, region of origin, average math score, TOEFL, GPA, and length study. This study was carried out at University X, which contains a variety of architectural styles. The R department, the S department, the T department, and the U department make up one of them. K-Medoids and AHC techniques Utilize the number of clusters 2, 3, and 4 and the silhouette coefficient approach. The evaluation's findings indicate a value. Although there is a linear silhouette between the AHC and K-Medoids methods, the AHC approach (departments R: 0.88, S: 0.87, T: 0.88, and U: 0.88) has a more excellent Silhouette value than K-Medoids (department R: 0.35, department S: 0.65 number of cluster 2, department T: 0.67 number of cluster 2 and program Study U: 0,52). The results of the second approach, which includes the K-Medoids and AHC procedures, are determined by the data distribution to be clustered rather than by the quantity of data or clusters. Based on this methodology, University X can refer to the grouping outcomes for the four departments with two achievements to receive results on schedule.
Pendampingan Pengelolaan Sampah Menuju Desa Peduli Sampah di Desa Semanu Kabupaten Gunung Kidul Alia Ariesta; Okka Adiyanto; Utaminingsih Linarti; Isana Arum Primasari; Endah Utami; Gita Indah Budiarti; Ika Dyah Kumalasari; Titisari Juwitaningtyas
Empower : Jurnal Pengembangan Masyarakat Islam Vol. 6 No. 1 (2021)
Publisher : UIN Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/empower.v6i1.9971

Abstract

Waste management is an important thing that needs to be resolved. The accumulation of garbage and the not yet managed urban and rural waste are one of the driving factors for this community service. Desa Semanu is one of the villages that already has a TPS-3R in Gunung Kidul Regency but the TPS-3R has not been utilized optimally. This study uses a qualitative method with community empowerment program. Aims for this research is to know the implementation of community empowerment programs. Furthermore, the purpose community service is to make Desa Semanu into a village that cares about waste by taking advantage of the integration of TPS 3R and a waste bank. One of the activities that have been carried out to support a village that cares about waste is by providing counseling about the dangers of burning waste to the environment and health. In addition, there was also counseling on the assistance of the Ahmad Dahlan University Center of Energy and Environmental Studies to make Desa Semanu can make a Waste Care Village. Based on the evaluation that has been carried out, most of the extension participants have increased their knowledge of solid waste knowledge.
Penentuan Rute Optimal Penyiraman Tanaman Kota Yogyakarta Menggunakan Genetic Algorithm Wuri Isdianto; Utaminingsih Linarti
Performa: Media Ilmiah Teknik Industri Vol 20, No 2 (2021): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.20.2.52176

Abstract

Abstrak Penyiraman  tanaman merupakan salah satu  aktivitas yang harus dilakukan oleh DLH Kota Yogyakarta untuk menjaga dan memelihara kelestarian lingkungan hidup. Pemilihan  rute penyiraman harus optimal, agar menghemat biaya operasional kendaraan. Tujuan penelitian ini yaitu menyelesaikan permasalahn rute penyiraman tanaman Kota Yogyakarta menggunakan Genetic Algorithm  (GA). Fungsi tujuan pada penelitian ini untuk meminimalkan total jarak dan total waktu tertempuh. Penelitian ini berhasil menyelesaian permasalahan rute penyiraman tanaman Kota Yogyakarta di Sektor 3 dengan menggunakan GA dan mampu memberikan solusi rute dengan dengan hasil yang lebih baik daripada rute saat ini. Dengan menggunakan rute usulan, diperoleh total jarak tertempuh sejauh 80.220 meter dan total waktu penyelesaian sebesar 1.056 menit. Terjadi penurunan total jarak tempuh sebesar 11,94 % dan penurunan total waktu tertempuh sebesar 2,88 % terhadap rute saat ini. Kata kunci: Genetic Algorithm, DLH, Penyiraman Tanaman Abstract Watering plants is one of the activities that must be carried out by DLH Yogyakarta City to protect and preserve the environment. The selection of the watering route must be optimal, in order to save vehicle operating costs. The purpose of this research is to solve the problem of watering route for plants in Yogyakarta City using Genetic Algorithm (GA). The objective function in this study is to minimize the total distance and total time traveled. This study succeeded in solving the problem of the Yogyakarta City watering route in Sector 3 using GA and was able to provide route solutions with better results tan the current route. By using the proposed route,  the total distance covered is 80,220 meters and the total completion time is 1,056 minutes. There is a decrease in the total distance traveled by 11.94 % and a decrease in the total time traveled by 2.88% to the current route. Keywords: Genetic Algorithm, DLH, Watering Plants