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INDONESIA
Science and Education Journal
Published by Universitas Pahlawan Tuanku Tambusai
ISSN : 2963928X     EISSN : 29629713     DOI : -
Core Subject : Humanities, Education, Social,
Humanities Education Social Sciences
Science and Education Journal (SICEDU) menerbitkan artikel penelitian yang membahas tentang pendidikan: pembelajaran di PGSD, di Sekolah Dasar yang membahas kurikulum dan teknologi pembelajaran, manajemen sekolah, kebijakan pendidikan di sekolah, Sosial, humaniora, dll.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 856 Documents
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Pengembangan Sistem Monitoring Efektivitas Mesin Berbasis Define, Measure, Analyze, Improve, Control (DMAIC) Untuk Mendukung Preventive Maintenance Di PT Adil Makmur Fajar Ajeng Lidia Bian Meifenni; Mochamad Eko Nugroho; Lifia Citra Ramadhanti; Rakay Edhiargo Toyosito; Angga Widyas Swara
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1091

Abstract

PT Adil Makmur Fajar Manufaktur mengalami permasalahan tingginya downtime pada Mesin  1 Liter yang berdampak pada menurunnya efektivitas mesin serta belum optimalnya pelaksanaan preventive maintenance. Selain itu, proses monitoring kinerja mesin masih dilakukan secara manual sehingga informasi kondisi mesin belum tersaji secara cepat dan terintegrasi. Penelitian ini bertujuan untuk mengukur efektivitas mesin menggunakan metode Overall Equipment Effectiveness (OEE), menganalisis penyebab rendahnya efektivitas mesin dengan pendekatan Define, Measure, Analyze, Improve, Control (DMAIC), serta mengembangkan sistem monitoring berbasis Spreadsheet untuk mendukung preventive maintenance. Penelitian menggunakan metode kuantitatif dengan pendekatan DMAIC. Pengukuran efektivitas mesin dilakukan menggunakan OEE, sedangkan analisis penyebab permasalahan menggunakan Pareto, 5  Why, Mean Time Between Failure (MTBF), dan Mean Time To Repair (MTTR). Hasil penelitian menunjukkan bahwa sistem monitoring yang dikembangkan mampu mengintegrasikan data produksi, downtime, kualitas, dan aktivitas maintenance dalam satu media, sehingga proses pemantauan menjadi lebih cepat, akurat, dan terstruktur. Sistem ini juga mendukung pengambilan keputusan preventive maintenance serta penerapan continuous improvement dalam meningkatkan efektivitas mesin.
Penerapan Metode Total Cost of Ownership (TCO) dan Equivalent Annual Cost (EAC) Untuk Menentukan Alternatif Pengadaan Forklift Berdasarkan Umur Pakai Optimal Di Warehouse PT MY Resqi Wahyudi; Angga Widyas Swara; Nugroho
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1097

Abstract

Forklift procurement is one of the investment decisions that significantly affects a company's operational efficiency, particularly in warehouse material handling activities. PT MY employs two procurement alternatives, namely purchasing diesel forklifts and leasing electric forklifts, each having different cost structures that require a comprehensive economic evaluation to determine the most efficient option. This study aims to analyze the Total Cost of Ownership (TCO), calculate the Present Worth (PW) and Equivalent Annual Cost (EAC), and determine the most economical forklift procurement alternative. This research employed a descriptive quantitative method using an Engineering Economy approach. The study utilized the company's secondary data from the 2021–2025 period, including investment costs, operating costs, maintenance costs, leasing costs, energy consumption costs, and asset salvage values. The analysis was conducted using the Total Cost of Ownership (TCO), Present Worth (PW), Capital Recovery Factor (CRF), and Equivalent Annual Cost (EAC) methods with a Minimum Attractive Rate of Return (MARR) of 8%. The results indicate that the Total Cost of Ownership (TCO) of the purchased diesel forklift was Rp1,938,918,750, while the leased electric forklift recorded a TCO of Rp689,856,000. The Present Worth (PW) values were Rp1,625,920,877 and Rp550,869,427, respectively. Based on a Capital Recovery Factor (CRF) of 0.25046, the Equivalent Annual Cost (EAC) of the diesel forklift was Rp407,225,941 per year, whereas the electric forklift was Rp137,970,739 per year. These findings demonstrate that leasing an electric forklift results in lower ownership and Equivalent Annual Costs than purchasing a diesel forklift. Therefore, leasing an electric forklift is recommended as the more economical procurement alternative to support material handling operations at the PT MY warehouse.
Implementasi Root Cause Analysis Sebagai Dasar TPM Pilar 4 (Focus Improvement) Dalam Pengurangan Downtime Mesin Packing Untuk Meningkatkan Overall Equipment Effectiveness Di PT ACD Hendra Maulana; Abby Yazid Bustommy; Angga Widyas Swara
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1114

Abstract

Downtime pada mesin Packing merupakan salah satu faktor yang dapat menurunkan efektivitas penggunaan mesin serta menghambat pencapaian target produksi di PT ACD. Meskipun nilai efektivitas mesin telah memenuhi standar, masih terdapat gangguan yang terjadi secara berulang sehingga diperlukan identifikasi penyebab utama dan tindakan perbaikan yang tepat. Penelitian ini bertujuan untuk menganalisis efektivitas mesin menggunakan Overall Equipment Effectiveness (OEE), menentukan prioritas penyebab downtime menggunakan Diagram Pareto, mengidentifikasi akar penyebab menggunakan Root Cause Analysis (RCA), mengimplementasikan TPM Pilar 4 (Focused Improvement/Kobetsu Kaizen), serta mengevaluasi hasil implementasi terhadap downtime dan nilai OEE. Penelitian menggunakan pendekatan kuantitatif dengan memanfaatkan data downtime, data produksi, dan data kualitas produk pada mesin Packing PT ACD. Data sebelum implementasi diperoleh pada periode Agustus 2025–Januari 2026, sedangkan data sesudah implementasi diperoleh pada periode Maret–Mei 2026. Analisis dilakukan melalui perhitungan OEE, penyusunan Diagram Pareto, Root Cause Analysis menggunakan Fishbone Diagram dan Five Why Analysis, implementasi TPM Pilar 4 pada komponen Roll Tarik, serta evaluasi hasil implementasi berdasarkan perubahan downtime dan nilai OEE.Hasil penelitian menunjukkan bahwa nilai OEE mesin Packing telah memenuhi standar World Class OEE sebesar 85%. Diagram Pareto mengidentifikasi empat jenis downtime dominan, yaitu Roll Tarik, Sealer, Sensor, dan Heater, dengan Roll Tarik sebagai penyumbang downtime terbesar sehingga dipilih sebagai prioritas perbaikan. Hasil Root Cause Analysis menunjukkan bahwa akar penyebab utama berasal dari ketidaksesuaian spesifikasi Bearing terhadap karakteristik beban eksentrik pada mekanisme stang eksentrik. Berdasarkan hasil tersebut dilakukan implementasi TPM Pilar 4 melalui modifikasi stang eksentrik dengan mengganti Ball Bearing 608 menjadi Rod End Bearing PHS-8. Implementasi perbaikan berhasil menurunkan downtime serta meningkatkan nilai OEE mesin Packing. Penelitian ini menunjukkan bahwa integrasi Overall Equipment Effectiveness (OEE), Diagram Pareto, Root Cause Analysis (RCA), dan TPM Pilar 4 (Focused Improvement/Kobetsu Kaizen) dapat digunakan sebagai pendekatan yang sistematis untuk menentukan prioritas permasalahan, mengidentifikasi akar penyebab, mengimplementasikan tindakan perbaikan, serta meningkatkan efektivitas mesin Packing.
Penerapan Business Process Reengineering (BPR) Dan Gap Analysis Untuk Mengurangi Discrepancy Stock Pada Proses Pengelolaan Persediaan Barang Di Industri Jasa Penyedia Internet Maria Desy Nataliani; Abby Yazid Bustommy; Lifia Citra Ramadhanti
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1125

Abstract

Pengelolaan persediaan yang masih dilakukan secara manual berpotensi menyebabkan discrepancy stock, menurunkan inventory accuracy, serta menghambat efektivitas operasional gudang. Penelitian ini bertujuan menganalisis penyebab terjadinya discrepancy stock serta merancang perbaikan proses pengelolaan persediaan menggunakan pendekatan Business Process Reengineering (BPR). Penelitian menggunakan metode deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi di Industri Jasa Penyedia Internet. Analisis dilakukan melalui pemetaan As-Is Process menggunakan Business Process Model and Notation (BPMN), pengukuran inventory accuracy dan discrepancy stock, identifikasi aktivitas Value Added (VA) dan Non Value Added (NVA), serta penyusunan To-Be Process. Hasil penelitian menunjukkan bahwa proses pengelolaan persediaan masih bergantung pada Microsoft Excel, belum terdapat pembaruan data secara real-time, dan permintaan barang belum terdokumentasi secara sistematis. Nilai discrepancy stock tertinggi terjadi pada bulan Juli sebesar 15,30%, sedangkan terendah pada bulan November sebesar 0,43%. Usulan perbaikan melalui BPR menghasilkan proses bisnis yang lebih sederhana dengan digitalisasi pencatatan, formulir permintaan barang, pembaruan stok secara real-time, dan pengkodean lokasi penyimpanan. Perbaikan tersebut diharapkan mampu meningkatkan inventory accuracy serta mengurangi discrepancy stock pada Industri Jasa Penyedia Internet.
Peningkatan Kualitas Proses Packaging Inner Industri Makanan Melalui Integrasi SPC, RCA, FMEA, Dan Sensor-Based Poka-Yoke Abby Yazid Bustommy; Jojor Taruli; Abimanyu
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1128

Abstract

High reject rates in the inner packaging process remain a critical issue in the food manufacturing industry because they reduce product quality, increase production costs, and lower operational efficiency. This study aims to identify the root causes of product rejects and evaluate the effectiveness of an integrated quality improvement framework combining Statistical Process Control (SPC), Root Cause Analysis (RCA), Failure Mode and Effects Analysis (FMEA), and sensor-based Poka-Yoke at PT CANDY JTK. A quantitative case study was conducted using production data from July–December 2025 as the baseline period and January–June 2026 as the post-improvement evaluation period. SPC was applied to monitor process stability, RCA to identify root causes, FMEA to prioritize risks based on the Risk Priority Number (RPN), and sensor-based Poka-Yoke to prevent process errors. The proposed framework reduced monthly rejects by 28.36%, from 53,500 kg to 38,330 kg, lowered the reject rate from 4.31% to 3.05%, increased production by 1.41%, and generated estimated cost savings of approximately IDR 303.4 million per month. These findings demonstrate that the integrated framework effectively improves process quality and operational efficiency in food manufacturing.
Perbaikan Kualitas Panel Listrik Dengan Metode Failure Mode And Effect Analysis (FMEA) Dan DMAIC Muhammad Rojali; Abimanyu; Angga Widyas Swara
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1129

Abstract

PT Powerindo Prima Perkasa merupakan perusahaan manufaktur panel listrik yang masih menghadapi permasalahan tingginya jumlah produk defect, khususnya pada proses wiring panel. Kondisi tersebut menyebabkan meningkatnya aktivitas rework, bertambahnya waktu produksi, dan menurunkan kualitas produk. Penelitian ini bertujuan mengidentifikasi titik kritis penyebab defect, menganalisis potensi penyebab defect, serta memberikan rekomendasi perbaikan untuk mengurangi defect menggunakan metode Define, Measure, Analyze, Improve, Control (DMAIC) yang didukung Fault Tree Analysis (FTA) dan Failure Mode and Effects Analysis (FMEA). Penelitian menggunakan pendekatan deskriptif kuantitatif dengan data produksi, data defect, observasi, dan dokumentasi perusahaan. Hasil penelitian menunjukkan bahwa pada periode Juni–Agustus 2025 terdapat 172 produk defect dari total produksi 1.244 unit dengan persentase defect sebesar 13,83%. Diagram Pareto menunjukkan wiring error/salah koneksi sebagai defect dominan. Analisis FTA mengidentifikasi faktor man dan method sebagai penyebab utama, sedangkan FMEA menghasilkan nilai Risk Priority Number (RPN) awal sebesar 336. Berdasarkan hasil tersebut, diterapkan proses Check Continuity setelah proses wiring. Implementasi perbaikan menurunkan nilai RPN menjadi 48 serta menurunkan tingkat defect menjadi 4,33% atau sebesar 68,69% dibandingkan sebelum perbaikan. Hasil penelitian menunjukkan bahwa penerapan DMAIC yang didukung FTA dan FMEA efektif dalam meningkatkan kualitas produk panel listrik.
Evaluasi Antioksidan Kulit Buah Jeruk (Citrus) Dengan Metode Uji DPPH, FRAP, ABTS, CUPRAC Monica Suryani; Eva Diansari Marbun; Alfi Sapitri; Burma Michael Sipayung; Silvina Putri
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1135

Abstract

Limbah kulit buah jeruk (Citrus spp.) merupakan sumber antioksidan alami yang berpotensi besar namun sering belum dimanfaatkan secara optimal. Artikel ini disusun sebagai mini review yang bertujuan merangkum dan membandingkan aktivitas antioksidan kulit berbagai jenis jeruk berdasarkan empat metode uji, yaitu DPPH, FRAP, ABTS, dan CUPRAC. Metode yang digunakan adalah studi literatur deskriptif kualitatif terhadap publikasi ilmiah nasional dan internasional tahun 2022–2026 yang diperoleh dari Google Scholar, Garuda, ScienceDirect, PubMed/PMC, DOAJ, dan ResearchGate. Hasil kajian menunjukkan bahwa nilai IC₅₀ dan kapasitas reduksi bervariasi luas antarjenis jeruk dan antarmetode, dengan kategori aktivitas berkisar dari sangat kuat hingga sangat lemah. Kadar fenolik dan flavonoid, metode ekstraksi, jenis pelarut, serta spesies dan bagian kulit yang diuji menjadi faktor utama yang memengaruhi hasil pengujian. Metode DPPH lebih sensitif terhadap senyawa polar, sedangkan FRAP, ABTS, dan CUPRAC mampu menangkap kontribusi senyawa semipolar hingga lipofilik seperti monoterpena. Perbandingan antarmetode menegaskan bahwa penilaian aktivitas antioksidan kulit jeruk hanya dari satu metode berisiko memberikan gambaran yang tidak lengkap, sehingga pendekatan multimetode diperlukan untuk memperoleh profil antioksidan yang lebih komprehensif.
Penerapan Metode Six Sigma dengan Pendekatan DMAIC dan Poka-Yoke untuk Mengurangi Reject Inner wrap pada Proses Pengemasan di PT Talita Ariyanto; Abby Yazid Bustommy; Abimanyu
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1136

Abstract

The high number of inner wrap defects in the packaging process affects product quality and production efficiency at PT Mayora Indah Tbk. The most dominant defect is the double inner wrap, which occurs when two or more products enter the subsequent packaging process simultaneously, resulting in products that do not meet quality standards. This study aims to identify the main causes of inner wrap defects, evaluate process capability using Six Sigma, analyze the root causes of defects, and propose a Poka-Yoke-based improvement. This research employed the Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The Measure phase included data collection, Pareto analysis, and the calculation of Defects Per Million Opportunities (DPMO) and Sigma Level. The Analyze phase used the Fishbone Diagram and 5 Why Root Cause Analysis to determine the root causes of defects. The Improve phase proposed a Reject Trap, guide separator, modified screen diameter, and a hopper level sensor as Poka-Yoke devices. The Control phase consisted of implementing standard operating procedures, preventive maintenance, and periodic monitoring of process capability. The results showed that before improvement, total production reached 6,552,000 kg, with 72,450 kg of inner wrap defects (1.11%), a DPMO of 11,058, and a Sigma Level of 3.79σ. After implementing the proposed improvements, defects decreased to 18,860 kg (0.29%), representing a 73.96% reduction, while the DPMO decreased to 2,878 and the Sigma Level increased to 4.24σ. These findings demonstrate that integrating Six Sigma with the DMAIC approach and Poka-Yoke effectively reduces inner wrap defects, improves process capability, and supports a more preventive quality control system.
Penerapan Metode Define Measure Analyze Improve Control (DMAIC) Dan Value Stream Mapping (VSM) Untuk Meningkatkan Efisiensi Proses Administrasi Dokumen Quality Control Pada Industri Makanan Ringan Sinta Julianti; Mochamad Eko Nugroho; Lifia Citra Ramadhanti
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1137

Abstract

This study aims to improve administrative efficiency in the Quality Control Department by implementing the Define, Measure, Analyze, Improve, Control (DMAIC) methodology integrated with Value Stream Mapping (VSM). A descriptive quantitative approach was employed using observation, interviews, and documentation for data collection. The Define phase identified administrative waste, while the Measure phase mapped the current process using VSM. The Analyze phase determined the root causes of inefficiency through Value Added (VA), Necessary Non-Value Added (NNVA), and Non-Value Added (NVA) analyses. In the Improve phase, a Paperless System was introduced to digitalize administrative activities, followed by the Control phase through standardized procedures, a Control Plan, monitoring, and Standard Operating Procedures (SOPs) to ensure sustainable improvement. The results indicate that the implementation reduced administrative lead time from 330 minutes to 254 minutes (23%) and decreased office stationery costs from IDR 17,810,000 to IDR 11,932,500 (33%). These findings demonstrate that integrating DMAIC and VSM effectively improves administrative efficiency, minimizes non-value-added activities, and reduces operational costs in the Quality Control Department.
Optimalisasi Efektivitas Mesin Crusher Cello Dengan Overall Equipment Effectiveness (OEE) Dan Plan-Do-Check-Act (PDCA) Di Industri Makanan Ringan Rakay Edhiargo Toyosito; Vicky Fendy Hernawan; Angga Widyas Swara; Lifia Citra Ramadhanti
Science and Education Journal (SICEDU) Vol 5 No 3 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i3.1138

Abstract

This study aims to analyze and improve the effectiveness of the Cello Crusher machine in the production process at PT MYI by applying the Overall Equipment Effectiveness (OEE) and Plan-Do-Check-Act (PDCA) methods. The main problem identified was the high frequency of crusher blade replacement, which resulted in increased downtime and affected the stability of production output. This study used machine operational data from December 2025 to February 2026 as the pre-improvement data and data from March to May 2026 as the post-improvement data. Machine effectiveness was measured using the OEE method, which consists of Availability, Performance, and Quality. The root causes of the problems were identified using a Fishbone Diagram and Five Why Analysis, while the improvement process was implemented through the PDCA cycle. The results showed that the average OEE value before improvement was 79.74%, which was below the World Class OEE standard of 85%. The main factors contributing to the low machine effectiveness were the absence of a standard blade service life, the unavailability of a Standard Operating Procedure (SOP) for Preventive Maintenance, and the absence of a planned schedule for blade replacement and sharpening. Following the implementation of the improvement actions, the average OEE increased to 87.96%, representing an improvement of 8.22%. In addition, average downtime decreased from 106.25 minutes to 61.23 minutes per month, blade replacement frequency decreased from 7 to 4 times, and average production output increased from 4,717 kg to 5,380 kg. Therefore, the application of OEE and PDCA methods proved effective in improving machine effectiveness, reducing downtime, and supporting continuous improvement.

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