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Utilization of Local Natural Dyes and Mordants in Dyeing Polyester Yarn for Timor Woven Fabrics: Characterization and Potential Applications Marselina Theresia Djue Tea; Elisabeth Korbafo; Faustinus Kadha; Yohana Ivana Kedang; Fetronela Rambu Bobu; Agustina Mogi; Ernesta Wae; Janrigo Klamegio Mere; Gebhardus Djugian Gelyaman
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11639

Abstract

The objective of this study was to extract natural dyes from plant parts, characterize them, and evaluate their color fastness properties. The yarns were bleached using hydrogen peroxide at a concentration of 10% (based on fiber weight) at 100°C for 30 minutes. Three natural dyes (teak leaves, turmeric, and mango bark) were selected as natural sources for color extraction, which was carried out for 60 minutes at 100°C. Dyeing was performed both with and without the addition of salt, alum, and lime as mordants. The FTIR spectra of fabrics dyed with natural dye extracts showed absorption bands at 2963–2918 cm⁻¹, indicating the presence of C-H stretching from methyl (CH₃) and methylene (-CH₂-) groups found in polyester. The band at 1710–1713 cm⁻¹ originated from the carbonyl (C=O) group, which is a main characteristic of polyester. The band around 1504–1577 cm⁻¹ was identified as aromatic C=C bond stretching. The band at 1338–1242 cm⁻¹ indicated C-O stretching, which may be attributed to ester groups in polyester. The band at 1091–1015 cm⁻¹ represented C-H bending, which is also characteristic of polyester molecules. Turmeric and teak leaves demonstrated better color fastness compared to mango bark.
Analisis Perbandingan Algoritma K-Means dan K-Medoids dalam Penentuan Status Gizi Balita Krisantus Jumarto Tey Seran; Jefania Tilman Soares; Fetronela Rambu Bobu; Debora Chrisinta
JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 4 No. 02 (2026): April
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/jikteks.v4i02.648

Abstract

Nutritional status in toddlers is an important indicator in determining child growth and development quality. Inaccurate classification of nutritional status can affect early intervention efforts. This study aims to compare the performance of K-Means and K-Medoids algorithms in clustering toddler nutritional status data at Puskesmas Betun. The dataset consists of 1,036 toddler records with variables including age, weight, height, and mid-upper arm circumference (MUAC). Data preprocessing was conducted through normalization before clustering. The performance of both algorithms was evaluated using the Davies Bouldin Index (DBI). The results show that K-Means converged in 24 iterations with a DBI value of 1.0281, while K-Medoids converged in 6 iterations with a DBI value of 1.1236. Based on the DBI evaluation, K-Means produced better clustering performance compared to K-Medoids. Therefore, K-Means is more suitable for determining toddler nutritional status in this study.
Penerapan Metode Naive Bayes dalam Pemilihan Lokasi Pemasangan Optical Distribution Point (ODP) Indihome Berbasis Webgis Febronius Neakleu; Yoseph Pius Kurniawan Kelen; Fetronela Rambu Bobu

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.10029

Abstract

Abstrak - Pemilihan lokasi pemasangan Optical Distribution Point (ODP) merupakan faktor penting dalam pengembangan jaringan fiber optik, karena berpengaruh terhadap efisiensi biaya dan jangkauan layanan. Proses pemilihan lokasi selama ini masih dilakukan secara manual, sehingga berpotensi menimbulkan ketidakefisienan dalam perencanaan jaringan. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan berbasis WebGIS yang menerapkan metode Naive Bayes dalam menentukan kelayakan lokasi pemasangan ODP IndiHome. Metode Naive Bayes digunakan untuk melakukan klasifikasi berdasarkan beberapa kriteria, antara lain jumlah penduduk, potensi pelanggan, status perizinan, aksesibilitas, infrastruktur pendukung, topografi, dan keamanan wilayah. Sistem dikembangkan menggunakan model pengembangan perangkat lunak Waterfall dengan implementasi teknologi PHP, MySQL, dan LeafletJS untuk visualisasi peta. Hasil pengujian menunjukkan bahwa metode Naïve Bayes mampu mengklasifikasikan data dengan akurasi sebesar 100% pada 19 data uji, di mana 13 lokasi dikategorikan “Layak” dan 6 lokasi “Tidak Layak”. Integrasi hasil klasifikasi dengan WebGIS memungkinkan pengguna untuk memantau dan menganalisis sebaran lokasi ODP secara interaktif melalui peta digital. Dengan demikian, sistem ini dapat membantu pihak perusahaan telekomunikasi dalam menentukan lokasi ODP yang optimal, efisien, dan berbasis spasial.Kata kunci : Optical Distribution Point; Naive Bayes; Sistem Pendukung Keputusan; WebGIS; Waterfall; Abstract - The selection of Optical Distribution Point (ODP) installation locations is a crucial factor in the development of fiber optic networks, as it directly affects cost efficiency and service coverage. The current selection process is still performed manually, which can lead to inefficiencies in network planning. This study aims to develop a WebGIS-based decision support system that applies the Naive Bayes method to determine the feasibility of ODP installation locations for IndiHome. The Naive Bayes algorithm is utilized to classify data based on several criteria, including population density, customer potential, licensing status, accessibility, supporting infrastructure, topography, and area security. The system was developed using the Waterfall model, implemented with PHP, MySQL, and LeafletJS for map visualization. The testing results show that the Naïve Bayes method achieved an accuracy of 100% on 19 test data points, classifying 13 locations as “Feasible” and 6 as “Not Feasible.” The integration of classification results with WebGIS allows users to monitor and analyze ODP locations interactively through a digital map. Therefore, the system effectively assists telecommunication companies in determining optimal, efficient, and spatially based ODP installation locations.Keywords: Optical Distribution Point; Naive Bayes; Decision Support System; WebGIS; Waterfall;
Pendampingan Badan Usaha Milik Desa Sebagai Upaya Peningkatkan Kesejahteraan Masyarakat di Desa Handrianus Vianey Melin Wula; Elpius Kalembang; Fransiskus Atok; Fetronela Rambu Bobu
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 3 (2026): Agustus: NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v6i3.10206

Abstract

This community engagement activity aimed to strengthen the capacity of Village-Owned Enterprise (BUMDes) managers in Sone Village, Insana Tengah District, who had previously faced challenges in business management, financial administration, and community involvement. The activity employed a Participatory Action Research (PAR) approach, involving BUMDes managers and community members actively in identifying problems, formulating solutions, participating in training, and evaluating the outcomes. The assistance covered village business management, business plan development, basic bookkeeping, and strategies for marketing local products. The results showed improvements in the managers’ skills and confidence in managing BUMDes. Following the assistance, the previously inactive BUMDes resumed operations by developing several business units, including ikat weaving, a basic-goods store, and party equipment rental services. The Sone Village Government also provided support through a capital contribution of IDR 120 million. The activity demonstrates that strengthening managerial capacity, promoting good governance, securing village government support, and encouraging community involvement are important factors in revitalizing BUMDes and promoting improvements in the local village economy.