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Analisis Pengendalian Kualitas Produk Cacat Jerigen dengan Metode Six Sigma dan New Seven Tools Nurul Mitha; Dinda Zahra Humaira; Widya Fernanda Putri
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan (in press)
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.941

Abstract

Persaingan industri semakin ketat dan menuntut perusahaan untuk meningkatkan kualitas produksi. PT. ABC merupakan perusahaan yang bergerak di bidang pengolahan kelapa sawit dan produksi jerigen berbahan HDPE, yang mengalami permasalahan tingginya jumlah produk cacat. Selama tahun 2024, dari total produksi 2.553.895 unit jerigen, terdapat 7.820 unit yang mengalami cacat produk, seperti black spot, kulit jeruk, berat tidak sesuai, transparan atau bocor. Penelitian ini bertujuan untuk menganalisis jenis cacat, mengidentifikasi faktor penyebab, serta memberikan usulan perbaikan menggunakan metode Six Sigma (DMAIC) dan New Seven Tools. Hasil dari analisis menunjukkan bahwa penyebab utama kecacatan adalah faktor manusia, mesin, material, dan metode. Nilai rata- rata level sigma produksi jerigen sebesar 4,67 dengan rata-rata DPMO sebesar 777,41. Adapun usulan perbaikan difokuskan pada pelatihan operator, perawatan mesin, pengendalian kualitas bahan baku, serta penyempurnaan prosedur kerja. Penerapan metode ini diharapkan tidak hanya mengurangi tingkat kecacatan tetapi juga meningkatkan efisensi operasional dan dapat dijadikan refrensi praktis bagi industrai manufaktur sejenis dalam upaya pengendalian kualitas.
Evaluasi Pengaruh Efisiensi Ripple Mill pada Kotoran Inti Menggunakan Metode Regresi Linear Berganda Cristian Gani Situngkir; Ifan Panjaitan; Rogate Simanjuntak; Widya Fernanda Putri; Sri Wahyuni
Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Vol. 3 No. 2 (2025): Manufaktur : Publikasi Sub Rumpun Ilmu Keteknikan Industri
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manufaktur.v3i2.1055

Abstract

This research was conducted at PTPN IV Regional II Adolina Palm Oil Plantation and Mill Unit with the aim of evaluating the effect of Ripple Mill machine efficiency on palm kernel impurity levels through a multiple linear regression analysis approach. Ripple Mill is a vital piece of equipment in the palm kernel cracking process, which plays a role in determining the quality of the palm kernel. This machine works by breaking the kernels to produce kernels that are separated from the shells. However, when machine efficiency decreases due to technical and operational factors, palm kernel impurity levels tend to increase, characterized by an increase in shell fragments, fibers, and other foreign materials. This condition can have an impact on decreasing product quality and increasing further processing costs. Data collection was carried out over five days of observations covering the variables of machine efficiency and kernel impurity levels obtained from production results. The study found a strong negative correlation between machine efficiency and impurity levels in palm kernels. This means that the higher the efficiency of the Ripple Mill, the lower the resulting palm kernel impurity levels. This finding also confirms that quality control in the production process is not only determined by raw material factors but also highly dependent on the performance of the processing machine. Furthermore, the research results demonstrate the importance of implementing preventive maintenance strategies, including regular inspections of the rotor bar, square bar, and drive motor, as well as regulating operating parameters such as rotational speed and machine load. Proper preventive maintenance and operational control are essential to sustain machine efficiency and product quality. Therefore, continuous improvement in technical and managerial aspects is essential to maintain palm kernel quality and support optimal palm oil mill productivity.
Analisis Pengendalian Kualitas Produk Cacat Jerigen dengan Metode Six Sigma dan New Seven Tools Nurul Mitha; Dinda Zahra Humaira; Widya Fernanda Putri
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.941

Abstract

Persaingan industri semakin ketat dan menuntut perusahaan untuk meningkatkan kualitas produksi. PT. ABC merupakan perusahaan yang bergerak di bidang pengolahan kelapa sawit dan produksi jerigen berbahan HDPE, yang mengalami permasalahan tingginya jumlah produk cacat. Selama tahun 2024, dari total produksi 2.553.895 unit jerigen, terdapat 7.820 unit yang mengalami cacat produk, seperti black spot, kulit jeruk, berat tidak sesuai, transparan atau bocor. Penelitian ini bertujuan untuk menganalisis jenis cacat, mengidentifikasi faktor penyebab, serta memberikan usulan perbaikan menggunakan metode Six Sigma (DMAIC) dan New Seven Tools. Hasil dari analisis menunjukkan bahwa penyebab utama kecacatan adalah faktor manusia, mesin, material, dan metode. Nilai rata- rata level sigma produksi jerigen sebesar 4,67 dengan rata-rata DPMO sebesar 777,41. Adapun usulan perbaikan difokuskan pada pelatihan operator, perawatan mesin, pengendalian kualitas bahan baku, serta penyempurnaan prosedur kerja. Penerapan metode ini diharapkan tidak hanya mengurangi tingkat kecacatan tetapi juga meningkatkan efisensi operasional dan dapat dijadikan refrensi praktis bagi industrai manufaktur sejenis dalam upaya pengendalian kualitas.
Evaluasi Sistem Maintenance pada Digester Menggunakan Metode FMEA di PT. Perkebunan Nusantara IV Regional II Unit Kebun dan PKS Adolina Juita Amelia Simanullang; Anitasari Sihotang; Adi Mahendra Pasaribu; Indira Ruth Septarini; Widya Fernanda Putri
Jurnal Rekayasa Proses dan Industri Terapan Vol. 3 No. 3 (2025): Agustus: Jurnal Rekayasa Proses dan Industri Terapan ( REPIT ) 
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/repit.v3i3.1200

Abstract

This study evaluates the maintenance system of the digester machine at PT Perkebunan Nusantara IV Regional II, Adolina Palm Oil Mill, which plays a crucial role in processing Fresh Fruit Bunches (FFB) into Crude Palm Oil (CPO). The objective of this research is to minimize potential machine failures and downtime while improving the overall efficiency of production operations. To achieve this, the Failure Mode and Effect Analysis (FMEA) method was applied to systematically identify potential failure modes, analyze their causes and effects, and assess their risk levels through the calculation of the Risk Priority Number (RPN). Data collection was conducted using a combination of field observation, in-depth interviews with technicians and operators, and documentation related to equipment performance and historical records of machine failures. The analysis revealed several critical components of the digester with relatively high RPN values, indicating potential risks that require immediate attention. These include issues related to wear and tear of mechanical parts, insufficient lubrication practices, and delays in replacing spare parts. Based on these findings, several corrective and preventive measures were proposed, including the improvement of preventive maintenance schedules, enhancement of operator training programs to increase technical competency, and strengthening of spare parts inventory management to avoid production delays. The study concludes that by addressing the identified failure modes through proactive maintenance strategies, the reliability of the digester machine can be significantly improved. This not only reduces the frequency of breakdowns and maintenance costs but also ensures more stable production performance, thereby supporting the sustainable operation of the palm oil mill