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Model Perencanaan Material MRP-JIT untuk Meminimalkan Risiko Keterlambatan dalam Produksi Panel SDP Mohamad Fatur Ramdan; Siti Rahayu; Rini Siskayanti
UNISTEK Vol. 13 No. 2 (2026): Agustus 2026 - Februari 2027
Publisher : UNIVERSITAS ISLAM SYEKH YUSUF TANGERANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/unistek.v13i2.8914

Abstract

PT Kimindo Jaya Indonesia is an electrical panel manufacturing company that applies a Make-to-Order production system. One of the main problems faced by the company is material delay in Sub Distribution Panel (SDP) production, because several critical components are not available according to the assembly schedule. This study aims to develop an integrated Material Requirement Planning and Just-in-Time (MRP-JIT) material planning model to minimize delay risk in SDP panel production. This research used a descriptive quantitative approach with production data from January to June 2025. The data included production quantity, Bill of Materials, initial inventory, safety stock, scheduled receipts, supplier lead time, assembly schedule, and historical material delay data. Data processing was conducted through gross requirement calculation, net requirement calculation, Lot-for-Lot sizing, planned order receipt, planned order release, and JIT-based material arrival synchronization. The actual condition showed 10 material delay cases, with a total delay of 43 days and an average delay of 4.3 days per case. The proposed model scheduled material orders based on supplier lead time and targeted material arrivals one to two days before assembly. The results indicate that the MRP-JIT model can support the shift from reactive purchasing to preventive material planning.
ANALYSIS OF BRICK PRODUCTION MACHINE EFFECTIVENESS USING THE OVERALL EQUIPMENT EFFECTIVENESS (OEE) METHOD AT CV RH BATU BATA CILANGKARA Julian Bahrudin; Siti Rahayu; Rini Siskayanti
JISO : Journal of Industrial and Systems Optimization Vol. 9 No. 1 (2026): Juni 2026
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v9i1.87-95

Abstract

ABSTRAK CV RH Batu Bata Cilangkara merupakan usaha manufaktur skala kecil dan menengah yang bergerak di bidang produksi batu bata merah. Permasalahan yang terjadi pada perusahaan meliputi downtime mesin, hasil produksi yang berfluktuasi, serta produk cacat yang memengaruhi efektivitas mesin pencetak batu bata. Penelitian ini bertujuan untuk mengukur efektivitas mesin produksi menggunakan metode Overall Equipment Effectiveness dan mengidentifikasi kerugian produksi dominan menggunakan pendekatan Six Big Losses. Penelitian ini menggunakan metode kuantitatif deskriptif dengan pengumpulan data melalui observasi, wawancara, dan dokumentasi perusahaan. Data yang digunakan mencakup periode Januari sampai Mei 2025, meliputi jam kerja tersedia, downtime, waktu operasional, jumlah produksi, produk baik, dan produk cacat. Hasil penelitian menunjukkan bahwa rata-rata nilai Overall Equipment Effectiveness sebesar 81,19%, sehingga masih berada di bawah standar world class sebesar 85%. Rata-rata availability rate sebesar 90,58%, performance rate sebesar 92,18%, dan quality rate sebesar 97,19%. Nilai Overall Equipment Effectiveness terendah terjadi pada bulan April sebesar 74,63%, terutama disebabkan oleh tingginya downtime dan rendahnya capaian produksi. Analisis Six Big Losses menunjukkan bahwa breakdown losses menjadi kerugian dominan sebesar 15,00%, diikuti reduced speed losses sebesar 11,11%. Perusahaan perlu memprioritaskan preventive maintenance, inspeksi mesin rutin, standardisasi setup, pelatihan operator, dan pengendalian kualitas untuk mengurangi downtime, menstabilkan kecepatan produksi, dan meningkatkan efektivitas mesin. ABSTRACT CV RH Batu Bata Cilangkara is a small and medium manufacturing enterprise engaged in red brick production. The company faces production problems related to machine downtime, fluctuating output, and defective products, which affect the effectiveness of the brick molding machine. This study aims to measure machine effectiveness using the Overall Equipment Effectiveness method and identify dominant production losses using the Six Big Losses approach. This research used a descriptive quantitative method with data collected through observation, interviews, and company documentation. The data covered the period from January to May 2025 and included available working time, downtime, operating time, production output, good products, and defective products. The results showed that the average Overall Equipment Effectiveness value was 81.19%, which is below the world class standard of 85%. The average availability rate was 90.58%, the performance rate was 92.18%, and the quality rate was 97.19%. The lowest Overall Equipment Effectiveness value occurred in April at 74.63%, mainly due to high downtime and low production achievement. Six Big Losses analysis showed that breakdown losses were the dominant loss at 15.00%, followed by reduced speed losses at 11.11%. The company should prioritize preventive maintenance, routine machine inspection, setup standardization, operator training, and quality control to reduce downtime, stabilize production speed, and improve machine effectiveness.
COST-EFFICIENT MULTI-ITEM INVENTORY CONTROL FOR ELECTRICAL INSTALLATION MATERIALS USING EOQ, SAFETY STOCK, AND REORDER POINT Astri Zahra; Siti Rahayu; Rini Siskayanti
JISO : Journal of Industrial and Systems Optimization Vol. 9 No. 1 (2026): Juni 2026
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v9i1.106-116

Abstract

Abstrak Penelitian ini membahas pengendalian persediaan material instalasi listrik pada PT Samsun Jaya Indonesia, yaitu perusahaan jasa konstruksi berbasis proyek. Permasalahan utama yang terjadi adalah kebijakan pemesanan material masih didasarkan pada kebutuhan proyek, kondisi stok, dan pengalaman bagian administrasi, sehingga belum terdapat acuan jumlah pemesanan yang optimal. Penelitian ini bertujuan untuk menentukan jumlah pemesanan ekonomis, persediaan pengaman, titik pemesanan kembali, dan total biaya persediaan pada sepuluh jenis material instalasi listrik. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan metode studi kasus. Data yang digunakan meliputi pemakaian material, biaya pemesanan, biaya penyimpanan, harga material, dan waktu tunggu pengadaan. Analisis dilakukan menggunakan metode Economic Order Quantity, safety stock, reorder point, dan total inventory cost. Hasil penelitian menunjukkan bahwa usulan kebijakan berbasis Economic Order Quantity menghasilkan total biaya persediaan sebesar Rp34.627.955 per tahun, lebih rendah dibandingkan kebijakan aktual perusahaan sebesar Rp42.143.133 per tahun. Total efisiensi biaya yang diperoleh adalah Rp7.515.179 per tahun. Hasil ini menunjukkan bahwa metode Economic Order Quantity yang dilengkapi safety stock dan reorder point dapat digunakan sebagai dasar perencanaan persediaan yang lebih terukur. ABSTRACT This study analyzes the inventory control of electrical installation materials at PT Samsun Jaya Indonesia, a project-based construction service company. The company manages several electrical materials with different demand characteristics, while its current ordering policy still relies on project needs, stock conditions, and practical experience. This study aims to determine the economic order quantity, safety stock, reorder point, and total inventory cost for ten main electrical installation materials. A quantitative descriptive approach with a case study method was used. The data consisted of material usage, ordering cost, holding cost, purchase price, and procurement lead time. The analysis applied Economic Order Quantity, safety stock, reorder point, and total inventory cost. The results show that the proposed Economic Order Quantity policy generates a total inventory cost of Rp34,627,955 per year, which is lower than the current company policy of Rp42,143,133 per year. Therefore, the total annual inventory cost efficiency is Rp7,515,179. These findings indicate that Economic Order Quantity combined with safety stock and reorder point can be used as a measurable basis for inventory planning in project-based electrical installation services.
Pengembangan Model Efisiensi Produksi Berkelanjutan pada UMKM melalui Integrasi Lean Manufacturing dan Sustainable Manufacturing Rini Siskayanti; Dana Nasihardani; Muhamad Engkos Kosim; Siti Rahayu; Julian Bahrudin
JISI: Jurnal Integrasi Sistem Industri Vol. 13 No. 2 (2026): JISI UMJ
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.13.2.227-236

Abstract

Penelitian ini bertujuan merancang Model Efisiensi Produksi Berkelanjutan (MEPB) melalui integrasi Lean dan Sustainable Manufacturing pada UMKM batu bata merah. Metode kuantitatif deskriptif diterapkan untuk mengevaluasi data operasional mesin pencetak utama menggunakan pendekatan Six Big Losses dan parameter eko-efisiensi. Hasil analisis menunjukkan bahwa kerugian terbesar didominasi oleh Equipment Failure sebesar 42,1% (103 jam) dan Idling Losses sebesar 30,3% (74 jam). Secara ekologis, inefisiensi ini menyebabkan pemborosan material tanah liat sebesar 10,46 Ton akibat 5.810 unit produk cacat, serta pemborosan energi listrik sebesar 1.327,5 kWh yang melepaskan emisi karbon sia-sia sebanyak 1.164,22 kg CO₂. Sebagai langkah mitigasi, model MEPB merumuskan lima pilar perbaikan sirkular (pemeliharaan preventif, SOP, pengendalian kualitas, pengembangan operator, dan sirkularitas bahan baku) guna meningkatkan produktivitas sekaligus mewujudkan green competitiveness industri.
Peningkatan Nilai Overall Equipment Effectiveness Mesin Ball Mill Menggunakan Metode Total Productive Maintenance Di Pt Kohler Manufaktur Indonesia Iqbal Fai Ramadhan; Hana Silvia Dwi Putri; Rini Siskayanti
Journal of Innovation Research and Knowledge Vol. 6 No. 4 (2026): September 2026
Publisher : Bajang Institute

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

Abstract

This study aims to analyze the Overall Equipment Effectiveness (OEE) of ball mills, identify the “six big losses,” and develop strategies to improve machine effectiveness through the implementation of the Total Productive Maintenance method at PT Kohler Manufaktur Indonesia. The study employs a quantitative approach, utilizing data on production, downtime, operating time, and product quality during the study period. The results show that the OEE value of the ball mill is still below world-class standards, indicating that there is still room for improvement in operational effectiveness. The dominant contributing factors stem from high breakdown losses and reduced operating speed, which lead to increased downtime and decreased machine productivity. TPM focuses on planned maintenance, autonomous maintenance, improving operator competence, establishing a schedule for periodic inspections, and standardizing maintenance procedures. The implementation of the proposed improvements is projected to increase the OEE value by improving availability, performance stability, and quality consistency, while simultaneously reducing the frequency of machine breakdowns and production downtime
Improving Stock Opname Accuracy Using Six Sigma DMAIC at PT. Citra Plastik Makmur Oktaviona Salsabrina; Siti Rahayu; Rini Siskayanti
Journal of Creative Student Research Vol. 4 No. 3 (2026): Juni : Journal of Creative Student Research
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jcsr-politama.v4i3.6384

Abstract

Akurasi persediaan memiliki peran penting dalam mendukung keandalan gudang, perencanaan produksi, dan pengendalian material pada perusahaan manufaktur. PT Citra Plastik Makmur mengalami ketidaksesuaian berulang antara stok fisik dan data sistem pada proses stock opname produk Cover Housing Remote Control. Penelitian ini bertujuan untuk menganalisis penyebab selisih stock opname dan memberikan usulan perbaikan menggunakan metode Six Sigma DMAIC. Penelitian ini menggunakan pendekatan kuantitatif deskriptif berdasarkan data stock opname periode Januari sampai Desember 2024. Data dianalisis melalui tahapan Define, Measure, Analyze, Improve, dan Control dengan alat bantu SIPOC, Critical to Quality, check sheet, p-control chart, diagram Pareto, DPMO, level sigma, fishbone diagram, dan analisis 5 Why’s. Hasil penelitian menunjukkan total selisih sebesar 691 pcs dari total stok sistem sebanyak 35.567 pcs. Quantity Error menjadi faktor dominan dengan jumlah 387 pcs atau 56,01% dari total selisih, diikuti oleh Part Defect dan Part Terjatuh. Usulan perbaikan meliputi penguatan verifikasi data stok, peningkatan pelatihan operator, pemisahan area penyimpanan defect, peningkatan pengawasan material handling, dan standarisasi prosedur gudang untuk meningkatkan akurasi persediaan.