Electronic Theses and Dissertation

Cabai (Capsicum annuum L.) merupakan komoditas hortikultura penting di Indonesia yang mengandung senyawa bioaktif diantaranya vitamin C dan antioksidan. Kandungan gizi ini dapat dipengaruhi oleh faktor lingkungan, salah satunya adalah ketinggian tempat tanam. Penelitian ini bertujuan untuk menganalisis pengaruh ketinggian tempat terhadap kadar vitamin C dan antioksidan pada cabai, serta mengevaluasi efektivitas teknologi Visible Near Infrared Spectroscopy (Vis-NIRS) dalam memprediksi kandungan tersebut secara cepat dan non-destruktif menggunakan model Partial Least Square (PLS).
Sebanyak 18 sampel cabai dari tiga lokasi berbeda di Provinsi Aceh (Panton Labu, Banda Aceh, dan Meulaboh) dianalisis menggunakan dua metode: destruktif (GC-MS) dan non-destruktif (Vis-NIRS). Pengukuran secara nondestruktif dilakukan dengan instrumen Infrared Spectroscopy (Thermo Nicolet Antaris II) untuk memperoleh spektrum Vis-NIRS cabai pada rentang panjang gelombang 381–1065 nm.
Data spektrum yang diperoleh dianalisis menggunakan metode Partial Least Square (PLS) dengan beberapa teknik pretreatment, seperti Standard Normal Variate (SNV) dan Derivative 1. Hasil penelitian menunjukkan bahwa Vis-NIRS dapat memprediksi kandungan vitamin C dan antioksidan dengan akurasi yang sangat baik, dengan nilai RPD di 7,95 untuk vitamin C dan di 13,82 untuk antioksidan.
Ketinggian tempat mempengaruhi kandungan gizi cabai, dan teknologi Vis-NIRS terbukti efektif sebagai alat prediksi cepat tanpa merusak sampel, sehingga berpotensi diterapkan di bidang pertanian presisi.

Chili (Capsicum annuum L.) is an important horticultural commodity in Indonesia that contains bioactive compounds including vitamin C and antioxidants. The nutritional content can be influenced by environmental factors, one of which is the altitude of the planting location. This research aims to analyze the effect of altitude on the levels of vitamin C and antioxidants in chili, as well as to evaluate the effectiveness of Visible Near Infrared Spectroscopy (Vis-NIRS) technology in predicting these contents rapidly and non-destructively using the Partial Least Square (PLS) model. A total of 18 chili samples from three different locations in Aceh Province (Panton Labu, Banda Aceh, and Meulaboh) were analyzed using two methods: destructive (GC-MS) and non-destructive (Vis-NIRS). Non-destructive measurements were conducted using Infrared Spectroscopy instruments (Thermo Nicolet Antaris II) to obtain the Vis-NIRS spectrum of chili in the wavelength range of 381–1065 nm. The spectrum data obtained was analyzed using the Partial Least Square (PLS) method with several pretreatment techniques, such as Standard Normal Variate (SNV) and Derivative 1. The research results show that Vis-NIRS can predict the content of vitamin C and antioxidants with very good accuracy, with an RPD value of 7.95 for vitamin C and 13.82 for antioxidants. Altitude affects the nutritional content of chili, and the Vis-NIRS technology has proven effective as a rapid predictive tool without damaging the sample, thus having the potential to be applied in the field of precision agriculture.