Adam A.Z., Lee S.Y., Mohamed R. (2017): Pharmacological properties of agarwood tea derived from Aquilaria (Thymelaeaceae) leaves: an emerging contemporary herbal drink. Journal of Herbal Medicine, 10: 37–44. https://doi.org/10.1016/j.hermed.2017.06.002 Ahmaed D.T., Mohammed M., Masaad A.M., Tajuddin S.N. (2017): Investigation of agarwood compounds in Aquilaria malaccensis & Aquilaria rostrata chipwood by using solid phase microextraction. Biomedical Journal of Scientific & Technical Research, 1: 1–8. Ali M.M., Hashim N., Aziz A.S., Lasekan O. (2020): Principles and recent advances in electronic nose for quality inspection of agricultural and food products. Trends in Food Science & Technology, 99: 1–10. Arshak K., Moore E., Lyons G.M, Harris F., Clifford S. (2004): A review of gas sensors employed in electronic nose applications. Sensor Review, 24: 181–198. https://doi.org/10.1108/02602280410525977 Azah M.A.N., Husni S.S., Mailina J., Sahrim L., Majid J.A., Faridz Z.M. (2013): Classification of agarwood (gaharu) by sesin content. Journal of Tropical Forest Science, 25: 213–219. Borah S., Hines E.L., Leeson M.S., Iliescu D.D., Bhuyan M., Gardner J.W. (2008): Neural network based electronic nose for classification of tea aroma. Sensing and Instrumentation for Food Quality and Safety, 2: 7–14. https://doi.org/10.1007/s11694-007-9028-7 Dou T.X., Shi J.F., Li Y., Bi F.C., Gao H.J., Hu C.H., Li C.Y., Yang Q.S., Deng G.M., Sheng O., He W.D., Yi G.J., Dong T. (2020): Influence of harvest season on volatile aroma constituents of two banana cultivars by electronic nose and HS-SPME coupled with GC-MS. Scientia Horticulturae, 265: 1–7. https://doi.org/10.1016/j.scienta.2020.109214 Figaro (2000): Operating Principle of MOS Type, Figaro Engineering Inc., Japan., Available at https://www.figaro.co.jp/en/product/sensor/ (accessed Dec 4, 2019). Gamboa J.C.R., Albarracin E.E.S., da Silva A.J., Ferreira T.A.E. (2019): Electronic nose dataset for detection of wine spoilage thresholds. Data in Brief, 25: 1–6. Hashim Y.Z.H-Y., Ismail N.I., Abbas P. (2014): Analysis of chemical compounds of agarwood oil from different species by gas chromatography mass spectrometry (GCMS). IIUM Engineering Journal, 15: 55–60. Hashim Y.Z.H.-Y., Kerr P.G., Abbas P., Salleh H.M. (2016): Aquilaria spp. (agarwood) as source of health beneficial compounds: A review of traditional use, phytochemistry and pharmacology. Journal of Ethnopharmacology, 189: 331–360. https://doi.org/10.1016/j.jep.2016.06.055 Ismail N., Ali N.A.M., Jamil M., Rahiman M.H.F., Tajuddin S.N., Taib M.N. (2014): A review study of agarwood oil and its quality analysis. Jurnal Teknologi, 68: 37–42. https://doi.org/10.11113/jt.v68.2419 Ismail N., Rahiman M.H.F., Taib M.N., Ibrahim M., Zareen S., Tajuddin S.N. (2015): A Review on agarwood and its quality determination. 2015 IEEE 6th Control and System Graduate Research Colloquium (ICSGRC). Shah Alam, Aug 10–11, 2015: 103–108. Jayachandran K., Sekar I., Parthiban K.T., Amirtham D., Suresh K.K. (2014): Analysis of different of Agarwood (Aquilaria malaccensis Lamk.) oil through GC-MS. Indian Journal of Natural Priducts and Resources, 5: 44–47. Jung D. (2013): The cultural biography of agarwood – perfumery in eastern asia and the asian neighbourhood. Journal of the Royal Asiatic Society, 23: 103–125. Lee S.Y., Mohamed R. (2016): The origin and domestication of Aquilaria, an important agarwood-producing genus. In: Agarwood Science Behind the Fragrance. Singapore, Springer Nature. Lias S., Ali N.A.M., Jamil M., Zainal M.H., Ghani S.H.A. (2015): Classification of pure and mixture agarwood oils by electronic nose and discriminant factorial analysis (DFA). 2015 International Conference on Smart Sensors and Application (ICSSA). Kuala Lumpur, May 26–28, 2015: 7–10. Lias S., Ali N.A.M., Jamil M., Jalil A.M., Othman M.F. (2016): Discrimination of pure and mixture agarwood oils via electronic nose coupled with k-nn kfold classifier. Procedia Cemistry, 20: 63–68. https://doi.org/10.1016/j.proche.2016.07.026 Liu Y.Y, Wei J.H., Gao Z.H., Zhang Z., Lyu J.C. (2017): A review of quality assessment and grading for agarwood. Chinese Herbal Medicines, 9: 22–30. https://doi.org/10.1016/S1674-6384(17)60072-8 Aqmarina N.A., Siregar U.J., Miftahudin T.M. (2020): Identification of chemical compounds in agarwood-producing species Aquilaria malaccensis and Gyrinops versteegii. Journal of Forestry Research, 31: 1371–1380. https://doi.org/10.1007/s11676-018-00875-9 Prasetyo E. (2014): Data Mining, Mengolah Data Menjadi Informasi Menggunakan Matlab. Yogyakarta, Andi Offset. Pripdeevech P., Khummueng W., Park S.K. (2011): Identification of odor-active components of agarwood essential oils from Thailand by solid phase microextraction-GC/MS and GC-O. Journal of Essential Oil Research, 23: 46–53. https://doi.org/10.1080/10412905.2011.9700468 Sena, S. (2017): Pengenalan Deep Learning Part 3: BackPropagation Algorithm. Available at https://medium.com/@samuelsena (accessed Apr 14, 2020). Subasinghe S.M.C.U.P., Hettiarachchi D.S. (2013): Agarwood resin production and resin quality of Gyrinops walla Gaertn. International Journal of Agricultural Sciences, 3: 357–262. Zulfikri L., Mardiana L., Wirawan R., Qomariyah N., Hadi K.A. (2018): Sistem Deteksi Gas Sederhana untuk Klasifikasi Gaharu Berbasis Sensor Gas Resistif. Prosiding SKF 2018, Bandung, Dec 4, 2018: 69–74.