7. KESIMPULAN DAN SARAN
7.2 Saran
Berdasarkan hasil pembahasan dan analisis dalam penelitian ini, perlu upaya untuk mengembangkan model agar lebih komprehensif. Beberapa saran untuk penelitian lebih lanjut setelah memperhatikan hasil validasi di lapangan adalah :
1. Model prakiraan perlu mempertimbangkan dinamika faktor eksternal lain seperti harga minyak mentah, harga karet sintetis, pola musim sebagai bagian dari model prakiraan permintaan yang lebih menyeluruh.
2. Model perencanaan produksi dilakukan dalam bentuk perencanaan agregat untuk menyusun rencana produksi secara komprehensif untuk berbagai jenis karet alam lain.
3. Model pengukuran kinerja dikembangkan untuk metrik pengukuran fungsi utama lain dalam rantai pasok.
4. Perlu suatu model untuk membandingkan nilai tambah jika dilakukan perubahan keputusan strategi produksi berdasarkan komposisi jenis produk karet alam yang dihasilkan.
5. Perlu pengembangan model perencanaan produksi dalam lingkup rantai pasok yang lebih kompleks melibatkan mata rantai yang berada dalam entitas yang berbeda serta melibatkan petani sebagai salah satu pemasok bahan baku.
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Backpropagation
Algoritma pembelajaran dari jaringan syaraf tiruan yang terawasi, biasa digunakan oleh
perceptron dengan banyak lapisan.
Data Pelatihan
Data yang digunakan dalam proses pelatihan jaringan syaraf tiruan supaya jaringan dapat mengenali pola data.
Data Pengujian
Data yang digunakan dalam proses pengujian dan validasi dari jaringan saraf tiruan.
Defuzzifikasi
Proses perubahan dari himpunan fuzzy menjadi nilai crisp pada inferensi fuzzy.
Epoch
Satu iterasi pada proses pelatihan pada jaringan saraf tiruan.
Error
Galat, perbandingan antara hasil prakiraan dengan hasil yang sesungguhnya.
Expert System Lihat Sistem Pakar
FIS
Fuzzy Inference System, teknik pengambilan keputusan menggunakan logika fuzzy.
Forward Propagation
Perambatan maju, tahapan pada proses pembelajaran jaringan saraf tiruan.
Fungsi Aktivasi
Fungsi pada jaringan saraf tiruan yang mentransformasikan penjumlahan sinyal berbobot yang masuk untuk menentukan sinyal keluaran.
Fuzzifikasi
Proses perubahan nilai crisp menjadi himpunan fuzzy pada sistem inferensi fuzzy.
Fuzzy Mamdani
Proses fuzzifikasi ketika input dan output juga berbentuk fuzzy.
Goal
Target tingkat error yang ingin dicapai pada proses pembelajaran jaringan saraf tiruan.
Heuristics
If-Then Rule
Aturan jika-maka, mendeskripsikan aksi yang akan dilakukan berdasarkan kondisi dan situasi.
Input Layer
Lapisan pada jaringan saraf tiruan yang menerima masukan untuk diproses.
Jaringan Saraf Tiruan
Suatu sistem pemrosesan informasi yang memiliki karakteristik performansi khusus yang dapat disamakan dengan cara kerja jaringan syaraf manusia,
Karet spesifikasi teknis
karet alam yang diperoleh dari pengolahan lateks, koagulum karet atau bahan olah karet yang berasal dari getah pohon Hevea brasiliensis secara mekanis dengan atau tanpa bahan kimia, berbentuk karet remah (crumb rubber) atau karet bongkah (block rubber) yang mutunya ditetapkan berdasarkan spesifikasi teknis.
Karet lembaran (sheet rubber)
karet alam yang diperoleh dari lateks kebun yang telah digumpalkan dan ditipiskan melalui penggilingan.
Knowledge
Penghetahuan, salah satu komponen DSS yang digunakan untuk pengambilan keputusan.
Koagulum lapangan
koagulum karet alam yang diperoleh dari penggumpalan lateks kebun dengan bahan penggumpal atau menggumpal secara alami di dalam mangkuk atau wadah lain yang dilakukan di kebun.
Koagulum segar
koagulum karet alam yang diperoleh dari penggumpalan lateks kebun dengan bahan penggumpal di dalam bak penggumpalan yang dilakukan di dalam pabrik
Lateks kebun
getah segar yang diperoleh dari pohon karet Hevea brasiliensis.