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Cost-Integrated Lean Maintenance to Reduce Maintenance Cost Putu Dana Karningsih; Winda Puspitasari; Moses Laksono Singgih
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n1.p69-80.2023

Abstract

The company has always prioritized cost reduction. In this study, the researchers aimed to decrease maintenance costs by actively eliminating expensive non-value-added processes. The study employed Process and Time Driven Activity Based Costing to integrate cost with the activities performed. By conducting maintenance value stream mapping, the researchers identified various forms of waste, such as centralized maintenance, ineffective data management, poor inventory management, inadequate maintenance, under-utilization of resources, and waiting time for maintenance resources. Several alternative improvement options were proposed, and the Pugh method was used to compare and select the most promising alternatives or combinations of alternatives. The third alternative, which involves conducting internal training and implementing standard operating procedures for maintenance technicians, supervisors, and machine operators, as well as integrating an IT system for maintenance and creating an equipment and spare parts inventory database, was chosen as the highest-ranking option. The results showed that this approach reduced processing time for administrative activities, lowered corrective maintenance costs, and improved maintenance efficiency for both preventive and corrective maintenance.
Integrasi Quality Function Deployment (QFD) dan Conjoint Analysis untuk Mengetahui Preferensi Konsumen Desrina Yusi Irawati; Moses Laksono Singgih; Bambang Syarudin
Jurnal Optimasi Sistem Industri Vol. 13 No. 2 (2014): Published in October 2014
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v13.n2.p618-640.2014

Abstract

The advantages of QFD is to translate customer need into a technical response. But QFD has some disadvantages related to the difficulties in distinguishing the difference of needs between consumers, difficulties to fulfill the needs of different consumer groups, and the exietence of conceptual gap between consumers and companies. The proposed method to overcome these disadvantages is conjoint analysis. The main advantage of conjoint analysis is the ability to get the optimal design combination for products or services based on consumers' preference. The result of conjoint analysis, estimation of perceived value, and integration of QFD can be used to know the preference market needs among consumers, identify the office desk, determine consumer segments and technical respons, and estimate the additional price of office desk attributes as an effort to the development of the office desk. In overall the best Office desk combination results based on consumers' preference of Office desk is the white color without additional drawers or supporting features, with table size is 120x60x75 cm and footstool. Segmentation based on preferences resulting in three clusters, namely size, color, and availability of drawer. The highest technical response to be the company's priority in meeting the needs of consumers is to make the proper hole connection. Based on the perceived value, the company is capable to predict that the additional prices of 1 drawer is Rp.1-Rp.500.000, the addition price of 2 drawers is Rp.800,000 - Rp.900.000, and the addition price of the foundation of the foot is Rp.50.000 - Rp.150.000, and the additional price of supporting features is Rp.150.000-Rp.250.000.Keywords: Quality Function Deployment (QFD), conjoint analysis, segmentation and perceived value.AbstrakKeunggulan QFD adalah menterjemahkan customer need menjadi respon teknis. Namun QFD mempunyai kekurangan terkait sulit membedakan antara beragam kebutuhan konsumen yang bertentangan, sulit memenuhi kebutuhan konsumen yang berbeda kelompok, dan kesenjangan konseptual antara konsumen dan perusahaan. Untuk melengkapi kekurangan QFD, diusulkan metode conjoint analysis. Keunggulan utama conjoint analysis mampu mendapatkan kombinasi desain yang optimal untuk produk yang melekat pada preferensi konsumen. Hasil integrasi QFD dan conjoint analysis serta estimasi perceived value dapat mengetahui preferensi konsumen meja kantor, mengidentifikasi segmen konsumen meja kantor, menentukan respon teknis, dan mengestimasi harga penambahan atribut meja kantor sebagai upaya pengembangan meja kantor. Secara keseluruhan hasil kombinasi meja kantor terbaik berdasarkan preferensi konsumen meja kantor adalah warna putih, tidak membutuhkan penambahan fitur laci, tidak membutuhkan penambahan fitur pendukung, ukuran meja 120x60x75 cm, dan terdapat tumpuan kaki. Berdasarkan segmentasi preferensi terbentuk tiga klaster, yaitu klaster warna, klaster ukuran, dan klaster ketersediaan laci. Secara keseluruhan respon teknis yang menjadi prioritas perusahaan untuk memenuhi kebutuhan konsumen adalah pembuatan lubang sambungan yang tepat. Berdasarkan hasil perceived value, perusahaan dapat memperkirakan harga penambahan 1 laci berkisar Rp.1 - Rp.500.000, penambahan 2 laci adalah Rp. 800.000 – Rp. 900.000, penambahan tumpuan kaki Rp. 50.000 – Rp. 150.000, dan penambahan fitur pendukung Rp. 150.000-Rp. 250.000.
A Hybrid Fuzzy-AHP and Combined Compromise Solution (CoCoSo) Approach for The Solution of Greenhouse Gas Reduction Project Selection : Study Case in Nickel Mining Company Muttaqi, Muhamad Firdaus; Singgih, Moses Laksono
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 12 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i12.4874

Abstract

This study introduces a novel decision-making approach for the nickel mining industry by integrating the hybrid fuzzy-Analytical Hierarchy Process (fuzzy-AHP) and the Combined Compromise Solution (CoCoSo) method to simultaneously evaluate and prioritize decarbonization project alternatives. This hybrid approach effectively addresses uncertainty in multi-criteria assessments while enabling balanced and rational trade-offs between competing alternatives. The research is motivated by increasing global pressure on Indonesia's nickel mining sector to adopt sustainable green mining practices, particularly by reducing greenhouse gas (GHG) emissions (CO?-eq) by approximately 29% in 2030. A leading integrated nickel mining and processing company in Indonesia is currently assessing various strategic projects to meet this decarbonization target. To support this evaluation, the fuzzy-AHP method is employed to handle the inherent uncertainty in weighting multiple criteria, while the CoCoSo method is used to rank the proposed projects based on those criteria. The evaluation covers environmental, technical, financial, and supply-related aspects. A sensitivity analysis is also conducted to test the robustness of the results against changes in the weightings of the decision criteria. The results indicate that the most influential criteria are GHG emission reduction (30.4%), system impact (26.8%), and technology feasibility (16.1%), while OPEX (9.9%), CAPEX (8.5%), and raw material supply (8.4%) are less influential. The project titled "Biomass for Kiln" is identified as the top-priority alternative, although it is highly sensitive to a decrease in the emission reduction weight and an increase in CAPEX weight. Conversely, the "Hydrotreated Vegetable Oil (HVO)" project consistently ranks the lowest in priority. These findings provide comprehensive data-driven insights to support company decision-makers in selecting the most strategic project for achieving sustainability goals.
Kerangka Quality Risk Management pada Lini Pengemasan Granule Farmasi menggunakan FMECA Acceptance gate (Go/No-Go) dalam Konteks GMP/CPOB Dian Yuliarni; Moses Laksono Singgih
Jurnal Impresi Indonesia Vol. 5 No. 8 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i8.7991

Abstract

Industri farmasi dituntut menjamin mutu produk dan kepatuhan terhadap Good Manufacturing Practice (GMP/CPOB), khususnya pada lini pengemasan sebagai tahap akhir sebelum produk dilepas ke pasar. Kompleksitas interaksi manusia, mesin, material, informasi, dan verifikasi berlapis pada lini pengemasan granul meningkatkan risiko mix-up, kesalahan identitas-pelabelan, ketidaksesuaian material, kegagalan integritas kemasan, serta kelemahan dokumentasi-rekonsiliasi. Meskipun Quality Risk Management (QRM) telah diterapkan, analisis risiko pada praktiknya masih cenderung berhenti pada pemeringkatan risiko dan belum diterjemahkan secara sistematis menjadi aturan keputusan operasional yang eksplisit, konsisten, dan dapat diaudit. Penelitian ini bertujuan mengembangkan kerangka QRM yang mengintegrasikan Failure Mode, Effects, and Criticality Analysis (FMECA) dengan mekanisme Acceptance Gate sebagai dasar pengambilan keputusan berbasis risiko pada lini pengemasan granul farmasi. Penelitian menggunakan pendekatan studi kasus deskriptif-analitis melalui pemetaan proses, identifikasi critical decision point dan failure mode, penilaian severity-occurrence-detection, perhitungan Risk Priority Number (RPN), analisis criticality, perancangan Acceptance Gate dan mitigasi risiko, serta evaluasi desain-validasi oleh lima ahli. Hasil penelitian menunjukkan risiko dominan berkaitan dengan identitas produk, status material, bobot isi, integritas kemasan, foreign matter, efektivitas deteksi, segregasi produk tidak sesuai, dan rekonsiliasi akhir. Kerangka ini menghasilkan delapan Acceptance Gate berkriteria Go, Go with Mitigation, dan No-Go, dilengkapi persyaratan evidence, otoritas keputusan, dan mekanisme eskalasi. Evaluasi desain menunjukkan penurunan estimasi RPN residual, pergeseran zona criticality, peningkatan kejelasan keputusan, serta penguatan traceability-auditability. Validasi ahli menghasilkan skor rata-rata 3,50 dari 4,00 (indeks 0,875), menempatkan kerangka pada kategori sangat layak. Kerangka QRM–FMECA–Acceptance Gate ini menyediakan mekanisme sistematis untuk menerjemahkan analisis risiko menjadi keputusan operasional yang lebih konsisten, terdokumentasi, dan selaras GMP/CPOB.
Evaluasi Kualitas Layanan dan Loyalitas Pelanggan Laboratorium Pengujian Mutu dengan Servqual, NPS, dan Driver Analysis Muftiyana Zulfa Auliya; Moses Laksono Singgih
Jurnal Impresi Indonesia Vol. 5 No. 8 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i8.7997

Abstract

Laboratorium Pengujian Mutu (LPM) merupakan unit pelayanan teknis yang menyediakan jasa pengujian mutu produk kelautan dan perikanan. Meningkatnya jumlah permohonan pengujian dan masih ditemukannya pengaduan pelanggan terkait keterlambatan penerbitan Lembar Hasil Analisa (LHA), keterlambatan penyampaian informasi, gangguan sistem pelayanan digital, dan lambatnya respons petugas menunjukkan bahwa kualitas pelayanan masih perlu ditingkatkan. Selain itu, meskipun sebagian pelanggan menggunakan jasa laboratorium secara berulang, tingkat loyalitas pelanggan belum pernah diukur secara sistematis. Penelitian ini bertujuan mengevaluasi kualitas pelayanan, mengukur loyalitas pelanggan, serta mengidentifikasi dimensi kualitas pelayanan yang paling berpengaruh terhadap kepuasan pelanggan sebagai dasar penyusunan rekomendasi peningkatan kualitas layanan. Penelitian ini menggunakan pendekatan kuantitatif dengan melibatkan 55 responden pelanggan yang dipilih secara purposive sampling. Analisis dilakukan menggunakan metode Service Quality (SERVQUAL), Net Promoter Score (NPS), dan Driver Analysis. Hasil penelitian menunjukkan bahwa masih terdapat kesenjangan antara harapan dan persepsi pelanggan, dengan dimensi responsiveness memiliki nilai gap terbesar sebesar -0,33. Hasil importance performance analysis menunjukkan bahwa atribut yang berkaitan dengan kecepatan respons petugas dan penyampaian informasi menjadi prioritas utama perbaikan. Pengukuran NPS menghasilkan skor 80% yang menunjukkan loyalitas pelanggan berada pada kategori sangat baik, sedangkan hasil Driver Analysis menunjukkan bahwa secara simultan seluruh dimensi SERVQUAL berpengaruh signifikan terhadap kepuasan pelanggan, namun secara parsial hanya dimensi Tangibles yang berpengaruh signifikan. Berdasarkan hasil penelitian, Laboratorium Pengujian Mutu perlu memprioritaskan peningkatan kecepatan pelayanan dengan mengevaluasi alur pelayanan, respon customer service dengan membuat standar waktu respon, penyampaian informasi status pengujian, pengembangan sistem pelayanan digital, serta mempertahankan kualitas fasilitas pelayanan guna meningkatkan kepuasan dan loyalitas pelanggan LPM secara berkelanjutan.