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Desain Eksperimen Taguchi pada Proses Produksi Roster dengan Penambahan Abu Sekam Padi: Analisis Kualitas Produk dan Efisiensi Biaya Produksi Wisudawati, Nidya; Minallah, Fadlan; Putri, Anindita Rahmalia; Patradhiani, Rurry; Fijra, Rafiqa
Integrasi: Jurnal Ilmiah Teknik Industri Vol 10 No 1 (2025): Integrasi : Jurnal Ilmiah Teknik Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/integrasi.v10i1.618

Abstract

Penelitian ini bertujuan untuk meningkatkan mutu produk roster serta menekan biaya produksi melalui pemanfaatan abu sekam padi yang masih kurang dimanfaatkan secara optimal sebagai bahan baku alternatif. Peningkatan mutu dilakukan dengan menggunakan desain eksperimen Taguchi untuk mendapatkan kombinasi komposisi yang optimal. Notasi orthogonal array yang digunakan adalah L9 serta pengolahan data dilakukan dengan melakukan perhitungan ANOVA terhadap nilai rata-rata dan SNR dengan klasifikasi larger the better. Komposisi optimum yang diperoleh yaitu 20% abu sekam padi, 40% semen, 30% pasir, dan 10% air, yang menghasilkan kuat tekan sebesar 22,67 kg/cm². Nilai ini menunjukkan peningkatan sebesar 9,92 kg/cm² dibandingkan dengan komposisi tanpa abu sekam padi (40% semen, 55% pasir, 5% air) yang hanya menghasilkan kuat tekan 12,75 kg/cm². Selain peningkatan kualitas, penggunaan abu sekam padi juga mampu menurunkan biaya produksi hingga 28,35%, mengingat harga abu sekam padi lebih ekonomis dibandingkan dengan semen. Hasil penelitian ini menunjukkan potensi besar dalam pemanfaatan limbah sekam padi sebagai solusi efisien dan berkelanjutan dalam proses produksi material bangunan.
Identifikasi Waste pada Proses Produksi UKM Kain Jumputan dengan Pendekatan Value Stream Mapping dan Failure Mode and Effect Analysis Rosyidah, Masayu; Fijra, Rafiqa; Wahyudi, Bayu; Agustino, Salindra
Integrasi: Jurnal Ilmiah Teknik Industri Vol 10 No 1 (2025): Integrasi : Jurnal Ilmiah Teknik Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/integrasi.v10i1.624

Abstract

UKM Kain Jumputan sebagai pengrajin tie-dye menghadapi berbagai bentuk pemborosan dalam proses produksinya, seperti waktu tunggu, pergerakan yang tidak efisien, dan produk cacat. Penelitian ini bertujuan untuk mengidentifikasi jenis pemborosan dalam proses produksi menggunakan pendekatan Value Stream Mapping (VSM) dan menganalisis penyebab kegagalan menggunakan metode Failure Mode and Effect Analysis (FMEA). Kebaruan dari penelitian ini terletak pada integrasi kedua metode tersebut dalam konteks industri kain tradisional skala kecil, serta penggunaan Waste Relationship Matrix (WRM) untuk memetakan keterkaitan antar waste secara kuantitatif. Hasil pemetaan menunjukkan bahwa dari total waktu proses 3961 menit, hanya 3484 menit (88%) yang merupakan aktivitas bernilai tambah. Pemborosan terbesar terdapat pada kategori defect (19%), motion (17%), serta inventory dan waiting (masing-masing 15%). Implikasi dari penelitian ini menunjukkan bahwa pendekatan integrasi VSM-FMEA dapat dijadikan alat strategis dalam mengindentifikasi dan memitigasi pemborosan secara menyeluruh pada sektor UKM kerajinan tradisional. Temuan ini relevan dengan tren global lean manufacturing dan mempunyai potensi untuk diaplikasikan pada berbagai industri serupa untuk mendorong efisiensi operasional.
Improvement of Designing Laboratory Scale Plastic Chopping Equipment with the TRIZ Method (Theorija Rezhenija Izobretatelskih Zadach) Fijra, Rafiqa; Saleh , Zulkiffli; Rifqi Adinugraha , M.; Hastarina, Merisha; Wahyudi, Bayu
International Journal of Science, Technology & Management Vol. 3 No. 5 (2022): September 2022
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v3i5.604

Abstract

The practical use of plastic increasing the demand for plastic. Plastic waste is difficult to decompose, currently many efforts have been made to reduce this plastic waste. A plastic chopping machine is a tool used to produce shredded plastic items into small pieces of a certain size, which can later be used for further processing as a recycling effort. This study improves the design of an existing plastic chopper that focuses on increasing reliability and convenience by the user. The analysis was carried out using a fishbone diagram and the TRIZ design method. The research resulted in a number of causes for the emergence of problems in the operation of the plastic chopper and a new design for the tool, namely improvements in terms of the type of blade, type of motor, and size of the tool. Keywords: Improvement designing, plastic chopper, fishbone diagram, and TRIZ method.
Optimazion of Manufacturing Product Distribution Systems Using the Heuristic Methods Nearest Neighbour and Nearest Insert Anindita Rahmalia Putri; Ahmad Noor Faiz; Rafiqa Fijra; Bayu Wahyudi; Nidya Wisudawati; Yasmin Yasmin
Agroindustrial Technology Journal Vol. 10 No. 1 (2026): Agroindustrial Technology Journal [ATJ]
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/atj.v10i1.14

Abstract

Product distribution is a critical component of supply chain performance in manufacturing industries, as inefficient routing decisions can significantly increase logistics costs and reduce delivery reliability, especially for small and medium-sized enterprises (SMEs) with limited resources. Despite its importance, many companies continue to rely on manual or experience-based route planning, which often results in suboptimal travel distances and unnecessary transportation expenses. This issue is not limited to a single firm but is commonly encountered in manufacturing distribution systems characterized by multiple delivery points and constrained operational capacity. This study develops and evaluates a distribution route optimization model using two heuristic algorithms, namely Nearest Neighbour and Nearest Insert, both of which are widely applied to solve the Travelling Salesman Problem (TSP) in practical logistics contexts. A quantitative research approach was employed by collecting data on delivery locations, inter-point distances, and transportation costs, which were subsequently analyzed through mathematical modeling and algorithmic simulations. The results show that the initial distribution routes required a total weekly travel distance of 362.43 km with an estimated transportation cost of Rp 578.792,31. After optimization, the Nearest Neighbor method reduced the distance to 329.89 km with a cost of Rp 553.761,54, while the Nearest Insert method resulted in a distance of 336.08 km and a cost of Rp 558.526,15. Overall, the Nearest Neighbour algorithm achieved the best performance, yielding a distance reduction of 32.54 km (8.98%) and a transportation cost saving of Rp 25.030,77 (4.32%) compared to the initial routes. These findings demonstrate that simple heuristic-based optimization models can significantly improve distribution efficiency and cost performance in manufacturing supply chains. The study contributes empirical evidence that such methods can be effectively adopted by SMEs as a scalable and resource-efficient decision-support tool for route planning, enabling cost reductions without increasing fleet size or reducing service coverage.