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Journal : Agrointek

IDENTIFIKASI PERSYARATAN PELANGGAN TERHADAP PRODUK TAHU Millatul Ulya
AGROINTEK Vol 6, No 2 (2012)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v6i2.1976

Abstract

Tofuindustriesmust producea qualified tofuthat can meetcustomersatisfactionto surviveintoday's businesscompetition. Therefore, itshould be identifiedof customer requirementsand the level ofpriorityfortofuproducts, so thattofu industriescan producetofuin line withcustomer expectations. This study aimed toidentify thecustomer requirements to the tofu productanddetermineprioritiesof customerrequirements. Results showed that8 (eight) requirements of customersintofuproductsthattaste,smell, texture, color, nutritional content, product safety, shelf life, and price. The most important attributewas3 thatsmell, textureand product safety. Whilethe otherfive attributes'important' to be filledtofuproducers. The results ofthis research canbe continuedtodeveloptechnicalresponsesfortofuindustriestomeetcustomersatisfaction
MODIFIKASI K-MEANS BERBASIS ORDERED WEIGHTED AVERAGING (OWA) UNTUK KASUS KLASTERING Millatul Ulya Millatul Ulya
AGROINTEK Vol 5, No 2 (2011)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v5i2.1943

Abstract

K-means clustering method based on Ordered Weighted Averaging (OWA) was developed by Cheng et al (2009) to resolve problem in classification using integrating k-means clustering and OWA. K-means clustering is a method of clustering and OWA is an aggregation operator. OWA was able to reduce the complexity of experimental data and helpin representing sophisticated relationships between the criteria. Based on the original function of k-means and OWA algorithm used, it is predicted that OWA-based k-means clustering (Cheng et al, 2009) works by modifying some of its stages. In this study, it will be done by modification of OWA-based k-means clustering (Cheng et al, 2009) and validated it in the clustering of iris dataset. This research aims to apply OWA-based k-means clustering in clustering iris data sets for validation and measure accuracy rateof OWA-based k-means clustering in the iris data sets. Resultshowed that accuracy of OWA-based k-means clustering in clustering iris data sets is 96.67%, which was better than k-means clustering method of 89.33%.
PERANCANGAN SISTEM INFORMASI PENJUALAN BERBASISWEB DI PT. GARAM (PERSERO) Ach Supriyanto; Burhan Burhan; Millatul Ulya
AGROINTEK Vol 7, No 2 (2013)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v7i2.2055

Abstract

Sistem penjualan di PT Garam (Persero) saat ini masih manual, dimana penyampaian informasi produk kepada konsumen tidak dapat diakses langsung. Sehingga sistem penjualan berbasis web (E-commerce) diperlukan. Sistem dirancang menurut langkah-langkah berikut (1) Entity Relationship Diagram (ERD), (2) kamus data, (3) perancangan basis data, dan (4) pengujian software. Adapun software yang digunakan adalah MySQL, PHP (Hypertext preprocessor), Macromedia Dreamweaver MX. Penelitian menghasilkan perancangan sistem informasi penjualan garam berbasis web lebih efektif karena dalam implementasinya memberi kemudahan kepada konsumen dalam informasi produk PT. Garam (Persero). Perancangan sistem informasi penjualan garam berbasis web ini, juga memberi kemudahan konsumen dalam bertransaksi, serta efisien berdasarkan simulasi awal yang dilakukan, dimana waktu transaksi hanya 10-15 menit, dengan mengakses web penjualan PT.Garam (Persero) tanpa harus mengeluarkan biaya dan tenaga seperti bertransaksi manual.
ANALISIS STRATEGI PENGEMBANGAN INDUSTRI JAMU TRADISIONAL DI KABUPATEN BANGKALAN - MADURA Risa Dewi Munica; Millatul Ulya; Muhammad Fakhry
AGROINTEK Vol 11, No 2 (2017)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v11i2.3057

Abstract

Data of Disperindag Bangkalan Regency (2015), shows that Bangkalan Regency has 20 herbal medicine industries. After doing research survey there are some herbal medicine industries that have been inactive, so that this research is conducted to find out alternative strategy that can be used as an effort to develop herbal medicine industry in Bangkalan Regency. This research used analysis of internal environment (IFE) and external (EFE), External-internal matrix (IE), SWOT and QSPM matrix (Quantitative Strategic Planning Matrix). There are 16 internal factors and 11 external factors. As for alternative strategy there are 5 alternatives obtained from SWOT matrix and IE matrix. In the QSPM matrix, the priority of strategy is 1. Maintain and improve product quality, 2. Increase promotional activities and expand the marketing area,3. Improving relationships with government and other agencies, 4. Maintain company image, and 5. Develop cooperation with other industries outside the region
ANALISIS PEMBOBOTAN KEY PERFORMANCE INDICATOR (KPI) DENGAN SCOR MODEL MENGGUNAKAN METODE ANALITICAL HIERARCHY PROCESS (AHP) PRODUK KEJU MOZZARELLA DI CV BRAWIJAYA DAIRY INDUSTRY, JUNREJO KOTA BATU Ariani Ariani; Millatul Ulya; Abdul Azis Jakfar
AGROINTEK Vol 11, No 1 (2017)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v11i1.2705

Abstract

Penelitian ini bertujuan untuk menganalisis pembobotan Key performance Indicator dengan model SCOR menggunakan metode Analitical Hierarchy Process (AHP) produk keju mozzarella di CV Brawijaya Dairy Industry. Hasil penelitian di peroleh 36 Key Performance Indicator yang disesuikan dengan model SCOR yaitu plan, source, deliver, make (process), dan return. Hasil pembobotan dengan menggunakan pembobotan AHP pada hierarki tingkat 1 yang memiliki bobot tertinggi adalah make (process) dengan nilai bobot 0,534. Hal ini dikarenakan perusahaan mementingkan kualitas produk yang dipengaruhi oleh proses produksi. Pada hierarki tingkat 2 bobot tertinggi terdapat pada variabel reliability dengan total bobot 0,739. Sedangkan nilai bobot tertinggi pada hierarki tingkat 3 (Key Performance Indicator)  adalah pada KPI 24 Kehandalan kinerja karyawan dalam mengolah menjadi produk jadi dengan total bobot 0,180.
PERANCANGAN ULANG TATA LETAK FASILITAS PRODUKSI PABRIK TAHU SRIKANDI JUNOK BANGKALAN Muh Faishol; Sri Hastuti; Millatul Ulya
AGROINTEK Vol 7, No 2 (2013)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v7i2.2051

Abstract

Industrial problems not only in how much investment should be planted, production and marketing procedures but requires planning production facilities covering the location of facilities planning and design of facilities. Facility design is important to get the best layout in the transport of materials so that the production process takes place quickly. This study aimed to redesign the layout of factory production facilities from the Srikandi’s Tofu industry at the district of Bangkalan to be more effective. This design based on the connectivity of production process flow and the distance of material removal. The method used in this study is Blocplan method. Best layout results using Blocplan produce 1.00 layout score and 5-6 distance proximity to the exchange boiler room and the room soaking