Article Per Year (5 Year)
p-Index From 2020 - 2025
1.116
P-Index
This Author published in this journals
All Journal dCartesian: Jurnal Matematika dan Aplikasi Jurnal MIPA Jurnal TIMES Operations Research: International Conference Series
Winsy Weku
Universitas Sam Ratulangi
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics Physics

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Performance Comparison of Covariance Function to Interpolate Unsampled Points with Simulation Data in Manado City Soleman, Claudya; Weku, Winsy; Salaki, Deiby
Operations Research: International Conference Series Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i3.169

Abstract

The covariance function measures the strength of statistical correlation as a function of distance. This follows Tobler's law which states that everything is usually related to all else but those which are near to each other are more related when compared to those that are further away. The correct weight of the basic covariance structure will produce the optimal kriging predictor. One interesting way to evaluate the strength of a kriging interpolation is to perform a simulation using a spatial structure. The simulation technique is executed in Manado City. The data is then applied to the variogram model using the spherical and matern covariance functions. The type of kriging method used in this simulation is ordinary kriging. The result shows that the suitable model to use is the matern model. Residual results from cross-validation show that the matern model has a lower biased estimation on both data. According to the RMSE and MAE criteria, the matern model outperforms the spherical model on data A and data B. The results of the interpolation are then visualized in the form of a map. Through this research, it can be concluded that the accuracy of the selection of the covariance function in the variogram model will provide a good estimate for the kriging method, and the most appropriate model for this case is the matern model.
Analysis of Changes in Green Land Cover of North Minahasa Gold Mine With Landsat 8 Images using the Normalized Difference Vegetation Index Bahat, Feni; Weku, Winsy; Montolalu, Chriestie
Operations Research: International Conference Series Vol. 2 No. 4 (2021): Operations Research International Conference Series (ORICS), December 2021
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v2i4.182

Abstract

Mining is an activity of extracting non-renewable natural resources, including coal, whose management cannot be separated from the company. In realizing mining activities, they must be managed optimally, so it is necessary to supervise and monitor their activities effectively and efficiently. North Minahasa Mining Toka Tindung is a gold mine that has been operating since 2009, with the first gold production in 2011, and has gold reserves of 122 tons at the end of 2020. Toka Tindung has a mining area of 8,986 hectares (400 thousand square km), or 1.3 percent of the planned contract of work which is 741,000 hectares. This research was conducted by monitoring mining land cover using remote sensing technology based on Landsat 8 satellite imagery. related to vegetation. NDVI has a range of values between -1 to +1, the results of the transformation have different percentages of land use. The greater or positive the NDVI value, the better the vegetation density in the area. This study aims to analyze changes in green land cover in the mining area of North Minahasa in 2013 to 2021 based on variations in the greenness of the vegetation index. The results of the study obtained that Variations in the greenery index of vegetation ranged from 0.0 - 0.4 in 2013 and -0.2 - 0.6 in 2021. Where the mining area environment in 2013 had a vegetation class in the form of rocks, vacant land, meadows, shrubs and dense forests and in 2021 had a vegetation class in the form of rocks, vacant land, grasslands, shrubs, dense forests and water. In 2021 it has a vegetation value of -0.2 whose vegetation class is water due to the loss of Ground Cover Vegetation due to digging too deep to form ponds. on the ground surface. Thus the level of vegetation density in the mining area of North Minahasa has changed from 2013 to 2021. The area without vegetation has generally increased. Replacing the green area and the area with vegetation cover, dense green land cover has decreased.
ANALISIS PENGARUH FILM “ICE COLD” KASUS KOPI SIANIDA TERHADAP SENTIMEN PENGGUNA YOUTUBE DENGAN SVM DAN RANDOM FOREST Salungweni, Bellatrix; Weku, Winsy; Ketaren, Eliasta
Jurnal TIMES Vol 13 No 2 (2024): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51351/jtm.13.2.2024755

Abstract

Kemajuan teknologi saat ini memungkinkan pertukaran informasi dengan mudah melalui media sosial, yang telah berkembang pesat sejak tahun 1970-an. Di Indonesia, dengan populasi 276,4 juta jiwa, terdapat 167 juta pengguna aktif media sosial, termasuk 139 juta pengguna YouTube, platform berbagi video terpopuler. Fitur YouTube memungkinkan interaksi pengguna melalui komentar dan melihat topik trending, seperti kasus kematian Wayan Mirna Salihin, yang kembali menjadi perhatian setelah penayangan film dokumenter "Ice Cold" di Netflix pada 23 September 2023. Penelitian ini bertujuan untuk menganalisis sentimen komentar pengguna YouTube dengan jumlah 4000 data komentar terkait kasus Kopi Sianida dengan konten yang berfokus kepada Jessica Wongso sebelum dan sesudah penayangan film menggunakan lexicon based dan dilanjutkan dengan klasifikasi menggunakan dua algoritma yaitu Support Vector Machine (SVM) dan Random Forest. Dengan metode Lexicon-based menggunakan kamus InSet, penelitian ini mengelompokkan sentimen menjadi dua kategori: positif dan negatif. Hasil penelitian menunjukkan bahwa penayangan film "Ice Cold" dapat meningkatkan simpati pengguna Youtube terhadap Jessica Wongso, dibuktikan dengan peningkatan sentimen positif dari data sebelum penayangan ke sesudah penayangan film. Selain itu, evaluasi performa model algoritma menunjukkan bahwa SVM memiliki akurasi terbaik dalam klasifikasi sentimen, baik pada data sebelum maupun sesudah penayangan film "Ice Cold".
ANALISIS INCIDENT MANAGEMENT DAN REQUEST FULFILLMENT LAYANAN TEKNOLOGI INFORMASI MENGGUNAKAN INFORMATION TECHNOLOGY INFRASTRUCTURE LIBRARY VERSI 3 PADA UPT-TIK UNIVERSITAS SAM RATULANGI MANADO Rumengan, Chenza; Weku, Winsy; Soewoeh, Christian; Ketaren, Eliasta
Jurnal TIMES Vol 13 No 2 (2024): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51351/jtm.13.2.2024774

Abstract

UPT-TIK (Unit Pelaksana Teknis – Teknologi Informasi dan Komunikasi) merupakan pusat layanan dan pengembangan sistem informasi yang bertanggung jawab atas pengelolaan infrastruktur TI dan layanan yang mendukung kebutuhan mahasiswa, dosen, dan tenaga kependidikan yang ada di Universitas Sam Ratulangi Manado. Dalam proses penerapan teknologi informasi, tidak lepas dari adanya permasalahan dan tantangan. Salah satunya ketika terjadi insiden pada TI yang dapat mengganggu kegiatan operasional organisasi juga keperluan pengguna. Penelitian ini menggunakan kerangka kerja ITIL V3, dan berfokus pada subdomain incident management dan request fulfillment untuk menganalisis kualitas manajemen insiden dan manajemen pemenuhan permintaan pada layanan TI UPT-TIK serta mengukur maturity level yang akan menghasilkan temuan untuk perbaikan. Analisis dilakukan menggunakan analisis kesenjangan dari hasil wawancara antara kondisi yang sedang berjalan pada UPT-TIK dengan kondisi ideal berdasarkan ITIL V3. Hasil penelitian didapatkan maturity level manajemen insiden dan pemenuhan permintaan pada layanan pengembangan website/sistem informasi berada pada level 2 (repeatable), yang artinya terdapat proses-proses yang sudah dilakukan berulang dengan beberapa prosedur yang terdokumentasi, namun belum terdapat aturan atau panduan yang dijadikan sebagai acuan dalam menjalankan aktifitas tersebut. Rekomendasi yang dapat diberikan adalah merancang dan menetapkan prosedur terkait pengelolaan insiden, gangguan, pemenuhan permintaan, meningkatkan efisiensi serta melakukan dokumentasi pada setiap proses dan langkah penanganannya.
Co-Authors Altien Rindengan Bahat, Feni Bee, Devit Benny Pinontoan Charitas Fibriani Chriestie Montolalu, Chriestie Christian Alderi Jeffta Soewoeh Djoni Hatidja Eliasta Ketaren, Eliasta Glorya Ontah Gybert Saselah Juwita Rawung Lindsay Mokosuli Luther Latumakulita M. Zainal Mahmudin Mangantara, Maisin Pontoh, Sophia Olga Robinson Pongoh Rumengan, Chenza Salaki, Deiby Salungweni, Bellatrix Soleman, Claudya