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Journal : Jurnal DISPROTEK

PERANCANGAN TATA LETAK BAHAN BAKU DENGAN METODE GRAVITY LOCATION MODEL (GLM) DI PT PERTANI (PERSERO) CABANG D.I. YOGYAKARTA Agustinus Andrie Prasetyo; Widya Setiafindari; Alex Alfandianto
Jurnal DISPROTEK Vol 9, No 1 (2018)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v9i1.652

Abstract

PT Pertani (Persero) UPB Sleman is a company engaged in the processing of seeds, especially seeds of rice plants. In this factory, seeds are divided into KS (Dry Rice Field), KK (Dry Dry) and KB (Dry Clean). The seeds are stored in a warehouse with a warehouse with size 30 meters X 18 meters and a capacity of 200 tons. And the distance of KK to production room is 15-20 meter, the distance of KS to production room is 4 meter, The arrangement of KB 2-2,5 meter with condition of layout less well arranged that it became obstacles for workers on path to production room. The method of research used Gravity Location Model (GLM). It is a branch of Supply Chain Management for facility location. This research aims to analyze the layout from each sector in PT Pertani (Persero) warehouse. The conclusion of this research is using the method with size and capacity to measure the farthest and the nearest used as consideration to design layout in the warehouse.
PENJADWALAN PRODUKSI MENGGUNAKAN PENDEKATAN ALGORITMA GENETIKA DI PT PERTANI (PERSERO) CABANG D.I. YOGYAKARTA Alex Alfandianto; Yohanes Anton Nugroho; Widya Setiafindari
Jurnal DISPROTEK Vol 8, No 2 (2017)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v8i2.536

Abstract

ABSTRACT PT Pertani (Persero) has problems in fulfilling orders of subsidized rice seeds. This condition happen because production scheduling is not optimal, thus causing high makespan. This research tries to provide an alternative way to this company by way of job scheduling that is Genetic Algorithm. this approach is used in optimizing makespan, mean flow time and latency. Scheduling results with the Genetic Algorithm approach for December 2016 orders resulted in a reduction of makespan from 2.3 monthsbecome 2.1 months, maximum lateness from 43 days become 31 days, mean flow time from 42 days become 35 working days. Keywords: genetic algorithm, scheduling, makespan, mean flow time, lateness ABSTRAK PT Pertani (Persero) memiliki masalah dalam memenuhi pesanan bibit padi bersubsidi. Kondisi ini terjadi karena penjadwalan produksi tidak optimal, sehingga menyebabkan makespan tinggi. Penelitian ini mencoba memberikan alternatif kepada perusahaan dengan cara penjadwalan produksi yaitu Algoritma Genetika. Pendekatan ini digunakan dalam mengoptimalkan makespan, mean flow time dan latency. Hasil penjadwalan dengan pendekatan Algoritma Genetika untuk bulan Desember 2016 menghasilkan pengurangan makespan dari 2,3 bulan menjadi 2,1 bulan, keterlambatan maksimum dari 43 hari menjadi 31 hari, waktu alir rata-rata dari 42 hari menjadi 35 hari kerja. Kata kunci: algoritma genetika, penjadwalan, makespan, mean flow time, lateness
PENGEMBANGAN MODEL OPTIMASI ARTIFICIAL NEURAL NETWORK PADA PENJADWALAN PRODUKSI SNACK TORTILLA Aldi Yoga Pradana; Widya Setiafindari
Jurnal Disprotek Vol 11, No 2 (2020)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v11i2.1257

Abstract

Production on May 2019, PT X produced 29,159 kg of Tortillas to be marketed domestically and abroad. The large amount of production shows the high consumer interest in Tortilla, which makes PT X produce large quantities in 1 month. Production of 29,159 kg was completed in 3 weeks with 3 shifts in 7 working days in the first and third week, and 6 working days in the second week. Inaccurate production planning makes Tortilla production exceed warehouse capacity, indicating that the production process is still running even though the number in June is as much as 17,346 kg and 26,835 kg in July resulting in overproduction of 6% in May 2019 and 15% in June 2019 so that there was an increase in July 2019 to 50%. The implementations of the Artificial Neural Network (ANN) method based on Particle Swarm Optimization (PSO) using the Steepest Ascent Hill Climbing Algorithm (SAHC) are optimize the final mean flow time by 51%, reduction in makespan by 0.5 in May-June and 0.1 in July, and a reduction in lateness by 13% after reprocessing results in an optimization that can overcome the problem of overproduction.
ANALISIS KUALITAS PRODUK KERAJINAN LIMBAH KAYU TERHADAP KEPUASAN PELANGGAN DENGAN PENDEKATAN CUSTOMER SATIFACTION INDEX DAN KANO MODEL Studi Kasus UMKM Succes Creative Desa Donorejo Muhammad Nastain; Widya Setiafindari
Jurnal DISPROTEK Vol 11, No 1 (2020)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v11i1.1065

Abstract

ABSTRAK Penelitian pada UMKM Succes Creativ ini dilakukan untuk menganalisis tingkat kepuasan pelanggan terhadap produk yang dihasilkan, penelitian ini dilakukan karena sering terdapat keluhan pelanggan terhadap produk yang telah dibelinya contohnya pada bulan desember 2019 terdapat 18 keluhan pelanggan. Penelitian ini menggunakan metode Customer Satifaction Index dan Kano Model yang merupakan metode digunakan untuk menganalisis tingkat kepuasan pelanggan secara menyeluruh dengan melihat kepentingan atribut-atribut dari suatu produk, kemudian mengkategorikan atribut-atribut tersebut berdasarkan seberapa baik suatu produk mampu memuaskan kebutuhan pelanggan UMKM Succes Creativ. Penggunaan metode ini bertujuan untuk mengetahui tingkat kepuasan konsumen dan memberi usulan perbaikan kualitas dari karakteristik produk yang dihasilkan UMKM Succes Creativ. Hasil perhitungan menggunakan metode Customer Satisfaction didapatkan nilai prosentase kepuasan pembeli sebesar 75,36%. Hasil perhitungan tersebut terdapat diantara range 71%< X ≤77%, karena hasil perhitungan diantra range tersebut maka kualitas produk dikatakan couse for concern sehingga produk yang dihasilkan perlu dilakukan perbaikan untuk memenuhi kepuasan konsumen atau pembeli. Dari perhitungan Kano Model didapatkan angka kepuasan pembeli yaitu 0,393 yang lebih kecil dari angka ketidak puasan terhadap produk yaitu 0,405. Perlu dilakukan perbaikan kualitas dari produk untuk memenuhi kepuasan dari konsumen. UMKM Succes Creativ sebaiknya mengutamakan peningkatkan kualitas karakteristik produk yang diinginkan konsumen diantaranya daya tahan atau keawetan produk, model produk, bahan baku produk, kerapian pengecatan atau warna produk, kemsan produk yang baik, bentuk produk yang rapi dan menarik, dan finishing atau hasil pengerjaan produk yang rapi. Kata Kunci: Kualitas Produk, Customer Satifaction Index, Kano Model
IMPLEMENTASI METODE RELIABILITY CENTERED MAINTENANCE PADA KOMPONEN KRITIS TURBIN UAP DI PT MADUBARU Maria Eva Susanti Lelu; Widya Setiafindari
Jurnal Disprotek Vol 14, No 2 (2023)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v14i2.4736

Abstract

IMPLEMENTATION OF RELIABILITY CENTERED MAINTENANCE METHOD ON CRITICAL COMPONENTS OF STEAM TURBINE AT PT MADUBARUSteam turbine is a machine that can be used to convert heat energy from steam into mechanical energy so that it can produce electrical energy. As a source of electrical energy, PT Madubaru utilizes this steam turbine. The purpose of this research is to determine the Mean Time To Failure or MTTF and Mean Time To Repair or MTTR values and which components of this steam turbine have the highest Risk Priority Number (RPN) based on FMEA analysis. This study uses FMEA analysis and the Reliability Centered Maintenance (RCM) method. From the results of data processing that has been done it is known that the most critical component is the coupling component with a damage percentage level of 21.62% of the other components. Based on the calculation of the MTTF value, the result is 1863.74, this means that the coupling component needs to be maintained or checked after operating for 1863.74 hours or around 77,656 days. In addition, for the calculation of the MTTR value, the result is 0.7941 hours, which means that the coupling component takes 0.7941 hours to repair. While the FMEA analysis showed that the coupling component received the highest RPN value of 24 out of the other components. The cause that occurred was due to a broken coupling membrane which hampered the production process because it was necessary to repair the component.
Co-Authors A Dandi Setiawan Afwan Anggara Afwan Anggara Agung Joko Prasetyo Agustinus Andrie Prasetyo Ahmad Luqmanul Farras Ahmad Suhaimi Ahmad Zada Hilmi Syifa Aldi Yoga Pradana Alex Alfandianto Alex Alfandianto Alfiansyah Alfiansyah Anfitra Akhsel Arya Putra Ramadhan Angga Revoma Putra Anggi Riska Devi Anggi Riska Devi Anisa Rahma Hakiki Annisa Fitria Annisa Fitria Dandy Silva Dandy Silva Daniallabib Danu Fatrohim Deni Kurniawan Dewintari Meilin Sihombing Diaz Arjun Annolu Dicky Tri Sandyayuda Dicky Tri Sandyayuda Dika Aprian Fratama Dimas Ari Nuryanto Dimas Ihza Mahendra Dwi Kurniawan Egga Jerri Indri Saputri Exsan Priadi Farah Yulvaniya Hanif Bima Al Farisi Hasbi Bachroni Hilman Adiatma Hilman Adiatma I Komang Dartawan Ibnu Afqah Arrauf Melian Iwan Eri Nuryanto Kuncoro Adhi Gautama Lulu Rahiba M. Septial Dafha Pratama Mardi Setyono Maria Eva Susanti Lelu Mella Wulandari Mohammad Faisal Nurfaizi, Mohammad Faisal Nurfaizi Muhammad Nastain Nalan Adha Ilan Ilahi Nandar ismail Natasya Dyah Maharani Noviana Salsabila Nuzul Eky Fachrezy Okta Tri Wulandari Purwo Budi Utomo Putra, Angga Revoma R. Akhmad Zakaria Nur Alim Radhinal Sa’id Riginianto Rahmad Fauzi Rajif Sihab Rebecca Angelina Silaen Recha Anggardha Resa Aulia Febriansyah Riky Ardiyanto Rizki Afif Pratama Rizky Saepulloh Rizqi Nurrahman Tri Sutrisno Rofi Kurniawan Roni Andika Salsabilla Kusumawardani Satria Adi Pamungkas Syahrul Hidayatullah Thegar Gilang Rachmawan Thegar Gilang Rachmawan Virgianto Utama Wahyu Hadi Sutiyono Wahyu Hadi Sutiyono Winda Nur Oktaviana Yohanes Anton Nugroho Yusuf Pratomo