?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PREDIKSI+MUTU+INTERNAL+BUAH+NANAS+(Ananas+comosus+L.)+MD2%0D%0AMENGGUNAKAN+INFORMASI+WARNA+KULIT+DAN+SUHU+BUAH%0D%0A%0D%0ABERDASARKAN+PERBEDAAN+SHELL+COLOR&rft.creator=AHMAD+%2C+NAZAMUDIN&rft.subject=600+Teknologi+(ilmu+terapan)&rft.subject=630+Pertanian+dan+teknologi+yang+berkaitan&rft.description=Produksi+nanas+di+Indonesia+menunjukkan+peningkatan+dalam+lima+tahun+terakhir.%0D%0ASementara+itu+nanas+merupakan+buah+dengan+umur+simpan+yang+relatif+pendek%0D%0Aakibat+faktor+fisiologi%2C+fisika%2C+kimia%2C+dan+biologi.+Teknologi+untuk+memperpanjang%0D%0Aumur+simpan+dan+pendugaan+mutu+internal+buah+secara+tidak+merusak+telah+menjadi%0D%0Aperhatian+dalam+dasa+warsa+terakhir.+Penelitian+ini+mengusulkan+metode+penilaian%0D%0Amutu+nanas+berupa+total+padatan+terlarut%2C+kekerasan+daging+buah%2C+dan+tingkat+asam%0D%0Atertitrasi+buah+menggunakan+informasi+warna+kulit+dan+suhu+buah+menggunakan%0D%0AJaringan+Saraf+Tiruan.+Penelitian+menggunakan+nanas+MD2+yang+diperoleh+dari+PT%0D%0AGreat+Giant+Pineapple+PG+4+Lampung+Timur.+Sampel+buah+nanas+yang+digunakan%0D%0A180+buah+dengan+tiga+tingkat+kematangan+berbeda+(SC0%2C+SC1%2C+dan+SC2).+Dari%0D%0Asampel+diperoleh+data+warna+kulit+dan+suhu+buah%2C+selanjutnya+digunakan+untuk%0D%0Amemprediksi+parameter+mutu+seperti+Total+Padatan+Terlarut%2C+kekerasan+dan+asam%0D%0Atertitrasi.+Model+Jaringan+Saraf+Tiruan+(JST)+dengan+struktur+4-10-10-1+dan%0D%0Akombinasi+fungsi+aktivasi+Logsig-Tansig-Purelin+dikembangkan+untuk%0D%0Amemprediksi+kualitas+internal+buah+nanas.+Hasil+penelitian+diperoleh+sebagai%0D%0Aberikut%3A+Suhu+buah+menurun+selama+penyimpanan%2C+demikian+juga+intensitas+warna%0D%0Akulit+buah+(Ired+dan+Igreen)+berubah+dengan+laju+perubahan+dipengaruhi+tingkat%0D%0Akematangan.+Secara+statistik%2C+terdapat+perbedaan+nyata+parameter+massa+jenis%2C+total%0D%0Apadatan+terlarut%2C+dan+kadar+air+pada+perbedaan+tingkat+kematangan.+Kekerasan+dan%0D%0A%0D%0Atotal+asam+tertitrasi+juga+menunjukkan+perubahan+selama+penyimpanan.+Model%0D%0AJaringan+Saraf+Tiruan+(JST)+yang+dikembangkan+mampu+memprediksi+mutu%0D%0Ainternal+nanas+dengan+akurasi+yang+cukup+baik%2C+terutama+untuk+parameter+total%0D%0Apadatan+terlarut.+Kesimpulan+penelitian+ini%2C+Intensitas+red+dan+green+kulit+buah%0D%0Ananas+secara+signifikan+mampu+membedakan+tingkat+kematangan+SC2+dengan%0D%0Atingkat+kematangan+SC0%2C+sedangkan+pada+intensitas+blue+tidak+signifikan+mampu%0D%0Amembedakan+tingkat+kematangan+buah+nanas.+Suhu+buah+tidak+secara+kuat+dapat%0D%0Adigunakan+untuk+menjelaskan+parameter+mutu+internal+buah+seperti+total+padatan%0D%0Aterlarut%2C+kekerasan+daging+buah%2C+dan+asam+tertitrasi+buah+nanas.+Pengembangan%0D%0Amodel+prediksi+menggunakan+metode+Jaringan+Saraf+Tiruan+(JST)+dengan+arsitektur%0D%0Ajaringan+4+node+input%2C+10+node+hidden+layer-1%2C+10+hidden+layer-2%2C+dan+1+output%0D%0Adiperoleh+model+optimum+pada+fungsi+aktivasi+terbaik+pada+proses+pelatihan+dan%0D%0Apengujian+model+untuk+parameter+total+padatan+terlarut+yaitu+Logsig-Tansig-Logsig%0D%0Adengan+R%0D%0A2+%3D+1+dan+RMSE+4%2C58E-04+pada+pelatihan+dan+R2+%3D+0%2C027+dan+RMSE+%3D%0D%0A%0D%0A6%2C4228+pada+pengujian.+Sedangkan+untuk+kekerasan+daging+buah+adalah+Purelin-%0D%0ATansig-Purelin%2C+berturut-turut+untuk+pelatihan+dan+pengujian%2C+adalah+sebesar+R2+%3D%0D%0A%0D%0A0%2C8858+dan+RMSE+%3D+4%2C81E-02+dan+R2+%3D+0%2C2801+dan+RMSE+%3D+0%2C1755.+Selanjutnya%2C%0D%0Auntuk+asam+tertitrasi+fungsi+aktivasi+terbaik+adalah+Purelin-Tansig-Logsig+dengan%0D%0AR%0D%0A2%0D%0Adan+RMSE+berturut-turut+sebesar+1+dan+4%2C82E-06+untuk+pelatihan+dan+R2%0D%0Asebesar%0D%0A%0D%0A0%2C0609+dan+RMSE+sebesar+0%2C3805+untuk+pengujian.%0D%0A%0D%0AKey+word%3A+Citra+Visible%2C+dan+Citra+Thermal%2C+Jaringan+Saraf+Tiruan%2C+Nanas%2C+Mutu%0D%0AInternal.%0D%0A%0D%0A%0D%0APineapple+production+in+Indonesia+has+shown+an+increase+in+the+last+five+years.%0D%0AMeanwhile%2C+pineapple+is+a+fruit+with+a+relatively+short+shelf+life+due+to%0D%0Aphysiological%2C+physical%2C+chemical%2C+and+biological+factors.+Technology+to+extend%0D%0Ashelf+life+and+to+predict+the+internal+quality+of+fruit+in+a+non-destructive+way+has%0D%0Abeen+a+concern+in+recent+decades.+The+research+proposes+a+method+of+assessing+the%0D%0Aquality+of+pineapples+in+the+form+of+total+dissolved+solids%2C+firmness+of+the+fruit+flesh%2C%0D%0Aand+the+level+of+acidity+of+the+titrated+fruit+using+skin+color+and+temperature%0D%0Ainformation+using+Artificial+Neural+Networks.+The+study+used+pineapple+MD2%0D%0Aobtained+from+PT+Great+Giant+Pineapple+PG+4+East+Lampung.+A+sample+of+180%0D%0Apineapple+fruits+was+used+with+three+different+levels+of+ripeness+(SC0%2C+SC1%2C+and%0D%0ASC2).+From+the+sample+obtained+data+on+skin+color+and+temperature+of+the+fruit%2C+it%0D%0Ais+then+used+to+predict+quality+parameters+such+as+total+soluble+solids%2C+firmness%2C+and%0D%0A%0D%0Atitrated+acid.+A+JST+model+with+a+4-10-10-1+structure+and+a+combination+of+Logsig-%0D%0ATansig-Pureline+activation+functions+was+developed+to+predict+the+internal+quality%0D%0A%0D%0Aof+pineapples.+The+results+of+the+study+were+as+follows%3A+The+temperature+of+the+fruit%0D%0Adecreases+during+storage%2C+as+well+as+the+intensity+of+the+color+of+the+skin+of+the+fruit%0D%0A(Ired+and+Igreen)+changes+with+the+rate+of+change+influenced+by+the+level+of%0D%0Amaturity.+Statistically%2C+there+is+a+marked+difference+in+the+parameters+of+type+weight%2C%0D%0A%0D%0Atotal+dissolved+solids%2C+and+water+content+at+different+maturity+levels.+The+firmness%0D%0Aand+total+titratable+acidity+also+showed+changes+during+storage.+The+developed+JST%0D%0Amodel+is+able+to+predict+the+internal+quality+of+pineapples+with+a+fairly+good%0D%0Aaccuracy%2C+especially+for+the+total+soluble+solids.+The+study+concluded+that+the%0D%0Aintensity+of+red+and+green+of+the+pineapple+skin+significantly+distinguishes+the%0D%0Amaturity+of+SC2+with+the+maturity+of+SC0%2C+while+the+intensity+of+blue+is+not%0D%0Asignificantly+able+to+distinguish+the+maturity+of+pineapple.+The+temperature+of+the%0D%0Afruit+is+not+strongly+used+to+explain+internal+quality+parameters+of+the+fruit+such+as%0D%0Atotal+soluble+solids%2C+firmness+of+the+fruit+flesh%2C+and+the+titratable+acid+of+the%0D%0Apineapple+fruit.+The+development+of+predictive+models+using+the+Artificial+Neural%0D%0ANetwork+(JST)+method+with+a+network+architecture+of+4+input+nodes%2C+10+hidden%0D%0Alayer-1+nodes%2C+10+hidden+layer-2+nodes%2C+and+1+output+obtained+the+optimum+model%0D%0Aon+the+best+activation+function+in+the+training+and+testing+process+of+the+model+for%0D%0Athe+total+parameters+of+the+dissolved+solids+namely+Logsig-Tansig-Logsig+with+R2%0D%0A%3D+1+and+RMSE+4.58E-04+in+the+training+and+R2+%3D+0.027+and+RMSE+%3D+6.4228+in+the%0D%0Atesting.+As+for+the+firmness+of+the+fruit+flesh+is+Purelin-Tansig-Purelin%2C+respectively%0D%0Afor+training+and+testing%2C+is+as+R2+%3D+0.8858+and+RMSE+%3D+4.81E-02+and+R2+%3D+0.2801%0D%0Aand+RMSE+%3D+0.1755.+Further%2C+for+titrated+acids+the+best+activation+function+is%0D%0APurelin-Tansig-Logsig+with+R2%0D%0A%0D%0Aand+RMSE+respectively+of+1+and+4.82E-06+for%0D%0A%0D%0Atraining+and+R2%0D%0A%0D%0Aof+0.0609+and+RMSE+of+0.3805+for+testing.%0D%0A%0D%0AKeywords%3A+Artificial+neural+networks%2C+internal+quality%2C+pineapple%2C+visible+and%0D%0Athermal+imaging&rft.publisher=FAKULTAS+PERTANIAN&rft.date=2024-09-27&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83806%2F1%2FAbstrak%2520-%2520Ahmad%2520Nazamudin.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83806%2F2%2FSKRIPSI%2520FULL%2520-%2520Ahmad%2520Nazamudin.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F83806%2F3%2FSKRIPSI%2520TANPA%2520PEMBAHASAN%2520-%2520Ahmad%2520Nazamudin.pdf&rft.identifier=++AHMAD+%2C+NAZAMUDIN++(2024)+PREDIKSI+MUTU+INTERNAL+BUAH+NANAS+(Ananas+comosus+L.)+MD2+MENGGUNAKAN+INFORMASI+WARNA+KULIT+DAN+SUHU+BUAH+BERDASARKAN+PERBEDAAN+SHELL+COLOR.++FAKULTAS+PERTANIAN%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F83806%2F