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All Journal RADIASI: Jurnal Berkala Pendidikan Fisika ILMU KELAUTAN: Indonesian Journal of Marine Sciences BERKALA FISIKA Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Jurnal Sains Dasar Jurnal Pendidikan Fisika Indonesia Jurnal Teknosains PROSIDING : Seminar Nasional Fisika dan Pendidikan Fisika Prosiding Semnastek JFA (Jurnal Fisika dan Aplikasinya) Jurnal Fisika FLUX Indonesian Journal of Science and Education Titian Ilmu: Jurnal Ilmiah Multi Sciences Jurnal Pendidikan Fisika Indonesian Journal of Chemistry Jurnal Sains dan Edukasi Sains Journal of Science and Science Education Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Proceeding Biology Education Conference Journal of Fundamental Mathematics and Applications (JFMA)
Ferdy Semuel Rondonuwu
Universitas Kristen Satya Wacana
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Other

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PRINCIPAL COMPONENT DAN K-MEANS CLUSTER ANALYSIS UNTUK DATA SPEKTRUM BLACK TEA GRADES GUNA PENILAIAN KUALITAS ALTERNATIF Aditya Toraismaya; Leopoldus Ricky Sasongko; Ferdy Semuel Rondonuwu
Journal of Fundamental Mathematics and Applications (JFMA) Vol 3, No 2 (2020)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (881.229 KB) | DOI: 10.14710/jfma.v3i2.8663

Abstract

The aim of this article is to apply the method to measure or evaluate the sampling quality of black tea in determining its category or class based on the spectrum of the sampled data. The number of the spectrum of the variable of data reduced by the Principal Components Analysis (PCA) method becomes a new variable that will be classified later by using K-Means Clustering method. This research use 120 sample of tea from Fanning II (F-II), Pekoe Fanning (PFANN), and Broken Orange Pekoe Fannings (BOPF) with 90 sample used for training and 30 sample used for validation. The method and the analysis used in this research gave effective and efficient performance in measuring/evaluating the quality of the black tea sample to determine its class as it showed that the accuracy of K-Means Clustering results is larger than 50%.
Model Penduga Kadar Glukosa dalam Jus Buah Menggunakan Spektroskopi Inframerah-dekat dan Regresi Kuadrat Terkecil Parsial Samalukang, Dina N; Rondonuwu, Ferdy Semuel; Pratiwi, Indri D; Sutresno, Adita
Jurnal Sains dan Edukasi Sains Vol. 7 No. 2 (2024): Jurnal Sains dan Edukasi Sains
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/juses.v7i2p74-80

Abstract

Glukosa merupakan gula alami yang terdapat dalam buah segar dan memainkan peran penting pada  rasa dan derajat kemanisan jus buah tersebut. Mengetahui kadar glukosa dalam jus buah murni berguna untuk pengendalian kualitas dan pelabelan gizi serta memastikan bahwa konsumen mendapatkan produk yang mereka harapkan. Paper ini membahas teknik pendugaan kadar kandungan glucosa jus buah menggunakan spektroskopi inframerah dekat (Near-Infrared Spectroscopy, NIRS) dan metode Regresi Kuadrat Terkecil Parsial (Partial Least Square Regression, PLSR). Sebanyak 14 sample glukosa-akuades dengan konsentrasi antara 0 – 2500 mg/dL digunakan sebagai sumber data spektral pembangun model regresi sedangkan sampel jus dari 10 jenis buah digunakan sebagai sumber data spektral target penentuan kadar glukosa berdasarkan model yang dibangun. Seluruh data spektral dianalisis pada daerah bilangan gelombang 4200 – 4800 cm-1. Pra-perlakuan data meliputi smoothing, normalisasi, turunan pertama, dan turunan kedua diterapkan pada masing-masing spektrum. Penggunaan variabel laten sebanyak 4 menghasilkan PRESS (Predicted Residual Error Sum Of Square) terkecil atau hasil prediksi yang optimal. Model prediksi yang dihasilkan mampu  menentukan kadar glukosa dengan nilai RMSE 3 mg/dL pada data kalibrasi dan dapat menentukan kadar glukosa jus buah tertinggi yaitu 713 mg/dL pada tebu dan kadar glukosa terendah yaitu 247 mg/dL pada kelapa.
Development of Servant Leadership Training Modules to Improve The Performance of Educators and Educational Staff Aktivia Ismi Lestari; Ferdy Semuel Rondonuwu; Yari Dwikurnaningsih
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 11, No 1 (2025): March
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i1.13607

Abstract

This study aims to develop a Servant Leadership training module to improve the performance of educators and educational staff. The research employed the research and development (R&D) method using the Borg & Gall model, involving several stages from preliminary research, planning, draft development, initial field testing, and product revision, to implementation testing. Data collection was conducted through observations, interviews, questionnaires, pretests, and post-tests on a small-scale trial with six respondents and a large-scale trial with 30 respondents, including school principals, teachers, and educational staff in Central Lampung. The collected data were analyzed using descriptive analysis and statistical tests. This research resulted in a Servant Leadership training module designed to enhance the performance of educators and educational staff. Qualitative descriptive analysis indicated an urgent need for Servant Leadership training, while quantitative analysis demonstrated the effectiveness of the module, with a significant increase in pretest and post-test scores from 55.0 to 90.6. Expert validation confirmed the module's high feasibility, with a feasibility level of 92%. The main-scale trial also confirmed its feasibility with an 82.9% feasibility level, and the large-scale trial demonstrated a very high feasibility level of 91.2%. This module includes concept introduction, case studies, implementation strategies, reflection, and evaluation. The findings suggest that this module provides a practical solution for supporting the application of Servant Leadership principles and is expected to be effective in improving the performance of educators and educational staff.
Co-Authors Adita Sutresno Aditya Toraismaya Aji, P. P. Aktivia Ismi Lestari Aldovina Kristin Muniarti Alvama Pattiserlihun Andriyani Rosita Sari Antonius Budi Susanto Debora Natalia Sudjito Ferry Fredy Karwur Galuh K. Wardhani Giner Maslebu Hafidz Bahtiar Ida Kristiani Jessica R. Setyanto Jodelin Muninggar, Jodelin Jubhar Mangimbulude Julianto Patawaran Kabul Eko Wiyono Leopoldus Ricky Sasongko Mardon Limena Marmi Sudarmi Martanto Martosupono Martha Febryana Marthen Billy Jesajas Mega Novita Monika Rahardjo Nur Aji Wibowo Ocky Karna Radjasa Paulus Damar Bayu Murti Pratiwi, Indri D Riana Amalia Sabrina Aprilisa Martha Samalukang, Dina N Sepriyanti Manialoka, Sepriyanti Setiyani, A. Suryasatriya Trihandaru Wahyu Hari Kristiyanto Welmince Bota Yari Dwikurnaningsih Yayi Suryo Prabandari Yohanes Martono Yohannes Sardjono