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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Proceeding Mercu Buana Conference on Industrial Engineering Journal of Rural Development and Applied Technology
Bonivasius Prasetya Ichtiarto
Universitas Mercu Buana
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences Transportation

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ANALISA PENURUNAN CACAT (defect) CAT BINTIK DEBU DENGAN METODOLOGI SIX SIGMA PADA PROSES PAINTING PRODUK FUEL TANK DI PT. SSO TANGERANG Endi Haryanto; Bonivasius Prasetya Ichtiarto
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 13, No 3 (2019): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.715 KB) | DOI: 10.22441/pasti.2019.v13i3.009

Abstract

PT. Selamat Sempurna  Other   (SSO)  adalah  perusahaan  yang  bergerak  pada bidang komponen otomotif khususnya dalam pembuatan Fuel Tank mobil khusus untuk mobil besar. Dalam upaya mempertahankan kualitas produk, PT. SSO berusaha untuk meminimalisasi jumlah kecacatan dalam setiap unit inspeksinya. Untuk itu diperlukan sebuah metode pengendalian dan peningkatan kualitas untuk mengidentifikasi cacat ke penyebab akar utamanya. Dari pengumpulan data yang dilakukan di PT. SSO dari bulan Januari sampai dengan Desember 2014, didapatkan bahwa cacat bintik debu (dirt) merupakan jenis cacat terbesar yang terjadi di PT.SSO yaitu sebesar 20,92% dan hal ini terjadi pada proses pengecatan Lalu pada tahap berikutnya setelah dilakukan proses brainstorming dengan pihak terkait di dalam perusahaan untuk mencari penyebab utama cacat bintik debu yang kemudian hasilnya ditampilkan melalui diagram fishbone. Untuk mengetahui prioritas perbaikan atau tindak lanjut terhadap penyebab-penyebab yang dipaparkan dalam diagram fishbone maka digunakanlah metode Six Sigma. Dari hasil pengolahan dengan metode Six Sigma didapatkan penyebab utama yang paling  signifikan  dalam  terhadap  cacat  bintik  adalah  faktor  Temperature  dan Speed  Conveyor  dan  faktor  lingkungan.  Pada  tahap  selanjutnya,  dilakukan analisis perbaikan dengan menggunakan model DMAIC, setelah itu melalui hasil Analyze yang didapatkan, modus kegagalan potensial yang paling utama sebagai penyebab terjadinya kecacatan harus segera ditangani. Dalam hal ini modus kegagalan potensial terbesar yang menyebabkan cacat bintik debu (dirt), dengan nilai Level Sigma adalah, adalah parameter seting. Maka tindakan yang perlu dilakukan adalah membuat standar untuk parameter seting temperature dan speed conveyor dan frekuensi pembersihan secara teratur terutama di ruang aplikasi pengecatan.
Penerapan p-Median terhadap optimasi alokasi dan lokasi distribution center pada Sistem Logistik Pedesaan di Indonesia Ely Asmara; Bonivasius Prasetya Ichtiarto
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.020

Abstract

Every village has Village Superior Products (Prudes) which have economic value that can advance the economy of rural communities. However, the consolidation of the Prudes results is still not optimal, it can be seen from the poverty rate in rural areas which is still high when compared to the level of poverty in the city. To overcome this, it requires the efficiency and effectiveness of distribution centers in rural supply chain systems in order to consolidate the Prudes products from a number of villages to a number of customers/consumers. However, the main problem is how many distribution centers are needed and where are the distribution centers located in an area that has the same type of Prudes. Therefore, the aim of this research is to find the best location P from a number of candidates distribution centers (N = 59 villages) where P ≤ N. To achieve the objectives of this study, the P-Median method is used with the help of AMPL software as a data processing tool. in order to complete the model of the P-Median. The objective function of the P-Median model is to find the minimum value of the total cost based on distance (), production volume (), shipping costs (), and fixed cost () at a number of DC facilities. In the process before the completion of the P-Median model, the approach is first carried out proximity analysis which consists of the pre-qualification and qualification processes in determining candidate facility candidates distribution center. This approach was taken to cover the limitations of APML software in processing data. The result of this research is that the optimal number of DC facilities in five DC facilities with a total cost minimum of IDR 91.80 billion. Meanwhile, the facilities are distribution center located in the village of Sanuanggamo, North Tongauna District (P11), Awuliti Village, Lambuya District (P17), Mumundowu Village, Pondidaha District (P36), Duriasi Village, Wonggeduku District (P44), and Puday Village, West Wonggeduku District (P53). 
Perancangan Optimasi Rute Pengiriman Buah Menggunakan Saving Matrix Dan Algoritma Genetika Untuk Meningkatkan Efisiensi Distribusi Jufri, Trizamsuar; Jaqin, Choesnul; Ichtiarto, Bonivasius Prasetya; Hernadewita, Hernadewita
Proceeding Mercu Buana Conference on Industrial Engineering Vol 7 (2025): SMART AND SUSTAINABLE INDUSRIES : DRIVING LOW-EMISSIONS AND RENEWABLE ENERGY TRANSFORM
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2025.34457

Abstract

Distribusi produk pertanian, khususnya buah-buahan yang mudah rusak, memegang peranan vital dalam menjaga kualitas produk dan efisiensi logistik. Keterlambatan pengiriman menjadi masalah utama dalam distribusi buah di Provinsi Jawa Barat, dengan tingkat keterlambatan mencapai 15–20% dan tingkat kerusakan produk 10–15%. Penelitian ini bertujuan untuk membandingkan efektivitas dua metode optimasi rute distribusi, yaitu metode Saving Matrix dan Algoritma Genetika, dalam konteks pengiriman buah dari berbagai wilayah di Jawa Barat menuju Bandung. Penelitian ini mengintegrasikan parameter degradasi kualitas buah berdasarkan waktu pengiriman dan karakteristik komoditas, seperti masa simpan. Pendekatan mixed-method eksplanatori sekuensial digunakan dalam penelitian ini. Tahap kualitatif dilakukan melalui wawancara dan observasi terhadap delapan stakeholder industri logistik pertanian. Temuan kualitatif menjadi dasar perancangan model optimasi. Pada tahap kuantitatif, Saving Matrix dan Algoritma Genetika diimplementasikan menggunakan bahasa pemrograman Python dengan library seperti geopy, DEAP, dan matplotlib. Data jarak antar titik diperoleh dari koordinat geografis, dan model optimasi dikembangkan berdasarkan formulasi Vehicle Routing Problem (VRP) yang disesuaikan. Hasil penelitian menunjukkan bahwa Algoritma Genetika lebih unggul dalam konteks kompleksitas tinggi, dengan kemampuan mengurangi waktu pengiriman hingga 22% dan penurunan kerusakan stroberi dari 15% menjadi 7%. Sementara itu, Saving Matrix lebih unggul dari sisi kecepatan komputasi dan efisiensi awal, namun kurang adaptif terhadap variasi karakteristik produk dan medan geografis. Penelitian ini memberikan kontribusi pada praktik logistik pertanian dengan menawarkan solusi berbasis algoritma untuk distribusi buah yang lebih efisien dan adaptif terhadap kondisi riil. Hasil ini juga memperkaya literatur tentang penerapan heuristik dan evolusioner dalam konteks distribusi produk perishable di negara berkembang seperti Indonesia.
Forecasting Intermittent Demand For MRO Spare Parts Darmawan, Rachmat; Ichtiarto, Bonivasius Prasetya
Proceeding Mercu Buana Conference on Industrial Engineering Vol 2 (2020): ARAH PENGEMBANGAN RISET ENGINEERING DI ERA REVOLUSI INDUSTRI 4.0
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the face of current global economic challenges, maintaining efficiency is the core of inventory management and order fulfillment is crucial for any heavy equipment industry looking to change the supply chain. Along with the complexity of increasing costs, accelerating inventory fulfillment, delivery order commitment fulfills demand. It can be seen that some of the conditions caused by the recycling activity have caused a gap between the demand and the sales made. That the forecast is still far from expected to meet real sales demand, if it continues to allow for unrealized sales and market losses. The phenomena to be known in this study include the expectation of accurate predictions about the availability of spare parts so that it meets customer needs. Utilize this type of quantitative research, based on historical demand data that reflects the nature of demand patterns by improving the accuracy of stock stocks and the level of service related to operating activities against meeting target expectations and the reality of results obtained. Real demand data based on demand turnover ratio in 2017-2018, in selecting the best forecast model of trend analysis is done with the result of setting exponential growth giving the smallest value of MAPE 12,789 MAD 11,333 MSD 271,595. Trend analysis results show that data plots do not fluctuate normally, so the assumption test is performed to calculate the number of requests (demand size) and the time between arrival of requests (inter-demand interval). Testing the assumption of demand size (zt) following the ARIMA model (0,1,1), it is found that stationary data from outputs are produced for ACF plots and PACF replacement data have been considered. As an example of the safety stock calculation results with a 95% service level such as depleted, the spin-on oil filter reached 4,248 pcs from the previous forecast of 4,08 pcs. In the future, it will not only be forecasting of existing secondary data, but will be upgrading from business model to final delivery as the industry becomes more competitive.
DIGITALIZATION MODEL TO ENHANCE THE QUALITY OF FAMILY IN INDONESIAN RURAL AREAS Bonivasius Prasetya Ichtiarto; Faharuddin Faharuddin; Nurjaeni Nurjaeni
Journal of Rural Development and Applied Technology Vol. 1 No. 1 (2024)
Publisher : Center for Rural Areas Empowerment (P2D), Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jrdat.2024.1.1.2

Abstract

Based on 2020 Indonesian Population Census there are 270.2 million people are living in Indonesia, with 43.3 percent are living in rural areas. 70.72 percent of population is in productivity age (15-64), and it mean that Indonesia is in demographic deviden era. Rural development become main program of Indonesian Government since Village Law no 6/2014 by establishment Ministry of Villages, Disadvantages Region and Transmigration. Since 2015 there is around 400 trillion rupiah has been disburse to villages as a village fund. The main program of line ministries in Indonesia also focus on villages, such as Desa SDGs (Villages of SDGs), Desa Digital (Digitalized Villages), Desa Ramah Perempuan dan Anak (Women and Children Friendly Villages), Desa Ramah Lansia (Elderly Friendly Villages), Kampung Keluarga Berkualitas (Quality Family Villages) and so on. Unfortunately, some of programs sometimes did not take demographic data in its planning. This paper aim to explain how to integrate many ministries programs in villages by using Presidential Instruction No 3/2022 about The Quality Family Village (Kampung Keluarga Berkualitas: Kampung KB). It also will be described two initiatives; Demographic Information Systems, contain Siperindu, Dashboard Kampung KB and Population Data Warehouse (Rumah Data Kependudukan: Rumah Dataku.) and a Multi Dimentional Rural Development Model as a digitalization model that can be used to enhance the quality of family in Villages.
Co-Authors Choesnul Jaqin Darmawan, Rachmat Ely Asmara Endi Haryanto Faharuddin Faharuddin Haryanto, Endi Hernadewita Jufri, Trizamsuar Nurjaeni Nurjaeni