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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) JISO : Journal of Industrial and Systems Optimization
Pratama, Novi Ariyan
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Decision Sciences, Operations Research & Management Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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PENENTUAN BAHAN BAKU MENGGUNAKAN METODE FUZZY GOAL PROGRAMMING PADA UKM FURNITURE Purnama, Jaka; Putri, Erni Puspanantasari; Sajiyo, Sajiyo; Aulia, Dian Rahma; Pratama, Novi Ariyan
JISO : Journal of Industrial and Systems Optimization Vol. 7 No. 1 (2024): Juni 2024
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v7i1.1-7

Abstract

Jombang Regency is one of the furniture producers which supplies many cities in Indonesia. Production activities are carried out at the furniture SMEs center in Catak Gayam village, Mojowarno, Jombang. Furniture SMEs strive to serve consumer needs according to demand. SMEs prepare teak wood raw materials by ordering wood from suppliers. It is difficult for furniture SMEs to determine the number of teak wood orders that match consumer product demand. The Fuzzy Goal Programming method is able to provide solutions for determining of raw materials according to consumer needs. The results of this research formed a model that was used to determine the amount of teak wood raw material according to demand of 25.03 m3 per order. Furniture SMEs set a profit target of 0.25. This condition shows the most optimal conditions in production activities at SMEs Furniture. Kabupaten Jombang merupakan salah satu penghasil furniture yang banyak menyuplai di kota-kota berada di Indonesia. Kegiatan produksi dilakukan di sentral UKM furniture di desa Catak Gayam, Mojowarno, Jombang. UKM furniture berupaya dalam melayani kebutuhan konsumen sesuai dengan permintaan. UKM menyiapkan bahan baku kayu jati dengan cara memesan kayu ke supplier. Sulitnya UKM furniture dalam menentukan pesanan kayu jati yang sesuai dengan permintaan produk yang dibutuhkan konsumen. Metode Fuzzy Goal Programming mampu memberikan solusi penentuan jumlah bahan baku sesuai dengan kebutuhan konsumen. Hasil penelitian ini terbentuk suatu model yang digunakan untuk menentukan jumlah bahan baku kayu jati sesuai dengan permintaan sebesar 25,03 m3 setiap kali order. UKM furniture memberikan target keuntungan sebesar 0,25. Kondisi ini menunjukan kondisi yang paling optimal dalam kegiatan produksi pada UKM Furniture.
Redesain Bioreaktor Guna Mempercepat Proses Fermentasi Pembuatan Pupuk Organik di Desa Minggirsari Kecamatan Kanigoro Kabupaten Blitar Pratama, Novi Ariyan; Murnawan, Hery
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 2 (2024): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i2.28413

Abstract

Alongside the increasing potential of the agriculture and plantation sectors in Minggirsari Village, Blitar Regency, there have been concerns among farmers regarding the decreasing supply of both subsidized and non-subsidized chemical fertilizers. However, these concerns were validated with the invention of an automatic anaerobic bioreactor by Nawang Sonia in 2023. The device is capable of reducing the fermentation process time from the initial 14-21 days to just 3-5 days. Although the designed device still had some functional limitations hindering its performance, a redesign was deemed necessary. The redesign was conducted using the Quality Function Deployment method through the distribution of questionnaires or Voice of Customer. Subsequently, a House of Quality was obtained, which served as the basic concept for the device's redesign. From this research, eight features were added to the device. The results showed that the device was more optimal, flexible, and effective than the previous anaerobic bioreactor design.
Co-Authors Aulia, Dian Rahma Erni Puspanantasari Putri, Erni Puspanantasari Hery Murnawan, Hery RR. Ella Evrita Hestiandari Sajiyo Sajiyo, Sajiyo