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Abby Yazid Bustommy
Universitas Tangerang Raya
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Optimizing On-Time Delivery Performance through Lean and QCDSM Framework in the Procurement Process of PT Lautan Air Indonesia Angga Widyaswara; Abby Yazid Bustommy
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3441

Abstract

The purpose of this study is to optimize the performance of on-time delivery in the procurement process at PT Lautan Air Indonesia, where delivery delays reach 23% and significantly disrupt the reliability of the supply chain. On-time delivery is an important indicator of operational performance, reflecting the accuracy of planning, vendor collaboration, and supply chain execution. Persistent delays in the procurement process not only increase operational costs but also pose a risk to customer confidence and production continuity. Materials and methods. This research applies an integrative approach that combines Lean Thinking, Root Cause Analysis (RCA), and QCDSM (Quality, Cost, Delivery, Safety, Morale) framework. Lean Thinking is used to identify wastes such as waiting and delays, RCA to determine the root cause of procurement delays, and QCDSM to evaluate overall improvements. The study was conducted in the Procurement Division (MNT) of PT Lautan Air Indonesia, with data analyzed quantitatively by comparing the percentage of delays before and after corrective actions. Result. The findings reveal that the root causes of delays are vendors not responding to purchase orders, lack of reminder features in SAP systems, and manual purchase order processing. After implementing corrective measures such as SAP-based monitoring, automated reminders, and automated delivery purchase orders, the delay rate decreased significantly from 23% to 9.99%. The QCDSM evaluation showed improvements in all dimensions: higher data quality, reduced idle costs, improved delivery reliability, reduced operational risk, and improved team morale. Conclusion. The integration of Lean, RCA, and QCDSM has proven to be an effective and comprehensive approach in reducing procurement delays. The study contributes to both academic and practical fields by filling research gaps in combining Lean and QCDSM for improved procurement performance, while providing a workable model for companies facing similar challenges in their supply chains
Perancangan Tata Letak Produk Pada Warehouse Finish Good PT TES Dengan Metode ABC Classification Dan Class Based Storage Payung Ginting; Abimanyu Abimanyu; Abby Yazid Bustommy; Mochamad Eko Nugroho; Rakay Ediargo Toyosito
Science and Education Journal (SICEDU) Vol 5 No 2 (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.v5i2.807

Abstract

Efisiensi operasional gudang dipengaruhi oleh kesesuaian tingkat pergerakan produk dengan lokasi penyimpanannya. Pada warehouse finish good PT TES, produk dengan frekuensi pergerakan tinggi masih ditempatkan jauh dari loading area sehingga meningkatkan jarak perpindahan material handling dan waktu persiapan pengiriman. Penelitian ini bertujuan merancang tata letak penyimpanan yang lebih efisien untuk mengurangi jarak tempuh dan waktu proses pengiriman. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan pengumpulan data melalui observasi, wawancara, dokumentasi, dan pengukuran langsung. Produk diklasifikasikan menggunakan metode ABC Classification berdasarkan frekuensi pergerakan menjadi kelas A, B, dan C, kemudian dirancang tata letak menggunakan metode Class Based Storage sesuai karakteristik pergerakannya. Evaluasi dilakukan dengan membandingkan tata letak eksisting dan usulan berdasarkan jarak tempuh material handling serta waktu ritase. Hasil penelitian menunjukkan bahwa produk kelas A (fast moving) dapat ditempatkan lebih dekat dengan area loading. Tata letak usulan menurunkan rata-rata jarak tempuh material handling dari 87,4 meter menjadi 56,2 meter (35,69%) dan waktu ritase dari 1.054 detik menjadi 801 detik (23,98%). Hasil ini menunjukkan bahwa kombinasi metode ABC Classification dan Class Based Storage efektif meningkatkan efisiensi operasional warehouse dan mendukung kelancaran distribusi produk.
Perancangan Pengembangan Sistem Kontrol Berbasis IoT pada Tungku Pemanas Anti Nyamuk Elektrik untuk Efisiensi Energi Sita Kurniaty; Abby Yazid Bustommy
Blend Sains Jurnal Teknik Vol. 5 No. 1 (2026): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v5i1.1743

Abstract

Penelitian ini bertujuan merancang sistem kontrol berbasis Internet of Things (IoT) pada tungku pemanas anti nyamuk elektrik untuk meningkatkan efisiensi energi, keamanan, dan kenyamanan pengguna. Perangkat konvensional saat ini masih bersifat manual, rentan overheating serta boros energi. Penelitian menggunakan pendekatan mixed-methods melalui observasi, wawancara, kuesioner, dan metode Quality Function Deployment (QFD) dengan House of Quality (HoQ). Hasil analisis menunjukkan bahwa keamanan produk dan kontrol jarak jauh melalui smartphone menjadi prioritas utama dengan Importance Rating tertinggi. Rekomendasi teknis meliputi penggunaan mikrokontroler ESP32, sensor suhu DHT22, relay proteksi serta aplikasi mobile untuk monitoring real-time serta timer otomatis. Penelitian ini diharapkan dapat menghasilkan prototipe tungku pemanas anti nyamuk yang lebih aman, efisien serta sesuai dengan kebutuhan masyarakat di era smart home.
PERAMALAN PERMINTAAN PRODUK MAKANAN MX GUNA MENINGKATKAN AKURASI PERENCANAAN PRODUKSI DAN PENGENDALIAN PERSEDIAAN DI PT XYZ Lifia Citra Ramadhanti; Rakay Edhiargo Toyosito; Angga Widyas Swara; Abby Yazid Bustommy; Moch Eko Nugroho
Jurnal Multidisipliner Kapalamada Vol. 4 No. 04 (2025): JURNAL MULTIDISIPLINER KAPALAMADA
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/kapalamada.v4i04.2039

Abstract

Demand forecasting plays a crucial role in production planning and inventory control, particularly in the food industry, which is characterized by fluctuating demand and limited product shelf life. This study aims to analyze and apply demand forecasting methods for MX food products in order to improve the accuracy of production planning and inventory control at PT XYZ. Historical sales data are utilized to generate demand forecasts by comparing several quantitative methods, including moving average, exponential smoothing, and linear regression. The accuracy of each forecasting method is evaluated using forecasting error measurements such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the method with the lowest forecasting error provides more accurate demand estimates, enabling the company to reduce excess inventory and stock shortages. Improved forecasting accuracy contributes to more efficient production planning, lower inventory costs, and better managerial decision-making at PT XYZ.
Optimasi Biaya Distribusi Air Minum Galon Menggunakan Model Transportasi NWC, Least Cost, dan VAM Ernawati Ernawati; Intan N. C; Aldi A; Abby Yazid Bustommy
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 3 No. 1 (2026): Juli - September
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Distribution is an essential component of the supply chain that directly affects a company's operational costs. This study examines the distribution of bottled drinking water from three distributors, namely Agung Berkah (Sukamulya), Mr. Watter (Cikupa), and Herman Depot (Citra Raya), to three destination areas: Balaraja, Telagasari, and Tigaraksa. The current distribution process is based on experience, making it unclear whether transportation costs have been minimized. Therefore, this study aims to determine the most efficient distribution pattern by comparing three transportation model methods: the Northwest Corner (NWC), Least Cost (LC), and Vogel's Approximation Method (VAM). The research employed a quantitative approach using data on transportation capacity, regional demand, and delivery costs per trip calculated based on fuel consumption. The results show that the NWC and LC methods produce the same total distribution cost of IDR 2,250,000 per month, whereas the VAM method yields the lowest total cost of IDR 2,230,000 per month, resulting in a cost saving of IDR 20,000 compared with the other two methods. This cost reduction is achieved because the VAM method considers penalty values (opportunity losses) before allocating shipments, producing an initial solution that is closer to the optimal solution. The findings suggest that Telagasari should be supplied by Mr. Watter, while Balaraja and Tigaraksa should be supplied by Agung Berkah. Herman Depot should serve as a backup distribution center due to its relatively higher transportation cost. Future studies are recommended to apply the Modified Distribution (MODI) method to verify that the obtained solution is truly optimal.
Analisis Kestabilan Proses dan Penyebab Defect Menggumpal pada Spray drying Kopi Instan Menggunakan Statistical Process Control Abby yazid bustommy; Sita Kurniaty Ratoko
Journal Information Technology Engineering and Science (JITES) Vol 6 No 1 (2026): JITES
Publisher : Universitas Tangerang Raya

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

Abstract

The food and beverage industry is required to produce products with consistent quality, particularly powder-based products that are highly sensitive to process variations. In instant coffee production, the spray drying process plays a critical role in determining the physical quality of the final product, where uncontrolled process parameters may lead to defects such as caking. This study aims to analyze the quality of the spray drying process and to evaluate process stability using a statistical process control (SPC) approach. A quantitative descriptive case study was conducted using production and defect data from January to June 2024. Time-series data were analyzed through defect rate calculation, Pareto analysis to identify dominant causes, cause–effect analysis using the 6M approach, and proportion control charts (p-charts). The results show that defect rates fluctuate across the observation periods, with caking identified as the dominant defect caused by unstable burner temperature, high concentrate brix values, and nozzle clogging. The p-chart analysis indicates that the spray drying process is statistically out of control, highlighting the need for continuous monitoring and control of critical process parameters to reduce variability and prevent recurring defects.
Analisis Efisiensi Biaya Pengemasan melalui Optimasi Ukuran Plastik pada Industri Makanan Abby Yazid Bustommy; Lifia Citra Ramadhanti Ramadhanti; Didit Maryadi
Journal Information Technology Engineering and Science (JITES) Vol 5 No 1 (2025): JITES
Publisher : Universitas Tangerang Raya

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

Abstract

Biaya pengemasan merupakan salah satu komponen penting dalam struktur biaya produksi industri makanan, khususnya pada sektor fast moving consumer goods (FMCG) dengan volume produksi tinggi. Penggunaan panjang plastik kemasan yang melebihi kebutuhan aktual produk berpotensi menimbulkan pemborosan material dan meningkatkan biaya pengemasan. Penelitian ini bertujuan untuk menganalisis efisiensi biaya pengemasan melalui optimasi panjang plastik pada industri makanan. Penelitian menggunakan pendekatan deskriptif kuantitatif dengan studi kasus pada satu lini pengemasan dan satu jenis produk dengan volume produksi relatif konstan. Analisis distribusi panjang plastik dilakukan menggunakan histogram dan ukuran dispersi untuk mengidentifikasi variasi penggunaan plastik, sedangkan dampak finansial dievaluasi melalui cost comparison analysis dengan membandingkan kondisi sebelum dan sesudah optimasi. Hasil penelitian menunjukkan bahwa pada kondisi awal terdapat variasi panjang plastik yang cukup besar dengan dominasi penggunaan plastik di atas panjang kebutuhan produk. Setelah dilakukan optimasi, distribusi panjang plastik menjadi lebih terkonsentrasi di sekitar nilai kebutuhan produk dan variasi penggunaan plastik menurun. Optimasi panjang plastik tersebut menghasilkan penghematan biaya pengemasan sebesar Rp 2,86 juta per bulan atau lebih dari Rp 34 juta per tahun. Temuan ini menunjukkan bahwa penyesuaian spesifikasi panjang plastik berbasis data aktual dapat menjadi strategi efisiensi biaya pengemasan yang efektif, aplikatif, dan mudah diterapkan pada industri makanan.
Reduksi Cacat Retak pada Proses HPCM melalui Integrasi Six Sigma, FMEA, dan DOE Abby Yazid Bustommy; Rangga Wahyu Fattahillah; Lifia Citra Ramadhanti
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.v13i2.8872

Abstract

The sanitary ware industry requires stable production processes because defects in ceramic products are critical and difficult to repair. PT RII experienced quality problems in the BN 150 G squat toilet product manufactured using the High Pressure Casting Machine (HPCM) process. Initial data indicated a defect rate of 8.55%, exceeding the company tolerance limit of 4%. This study aims to measure process capability, identify the main causes of crack defects, determine failure risk priorities, and establish the optimum air pressure parameter to reduce defects. The study employed the Six Sigma method with the Define, Measure, Analyze, Improve, and Control (DMAIC) approach integrated with Failure Mode and Effect Analysis (FMEA) and Design of Experiment (DOE). The results showed that the initial process condition had a Defects Per Million Opportunities (DPMO) value of 21,400 with a sigma level of 3.52. FMEA analysis identified unstable air pressure as the most critical cause of defects, with the highest Risk Priority Number (RPN) of 576. DOE results indicated that an air pressure of 3 bar produced the lowest defect proportion and had a significant effect on product defect status (p-value = 0.041). After improvement, the DPMO decreased to 17,000 and the sigma level increased to 3.62. These findings demonstrate that the integration of Six Sigma, FMEA, and DOE is effective in reducing crack defects and improving HPCM process capability in the sanitary ware industry.
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.
Co-Authors Abimanyu Abimanyu Abimanyu Aldi A Alif Adjis Sudjono Angga Widyas Swara Angga Widyaswara Anto Saryono Ardapi Azhar Didit Maryadi Eko Nugroho Ernawati Ernawati Hendra Maulana Intan N. C Jojor Taruli Lifia Citra Ramadhanti Lifia Citra Ramadhanti Lifia Citra Ramadhanti Ramadhanti Maria Desy Nataliani Moch Eko Nugroho Mochamad Eko Nugroho Payung Ginting Rakay Edhiargo Toyosito Rakay Ediargo Toyosito Rangga Wahyu Fattahillah Sita Kurniaty Sita Kurniaty Ratoko Sujono Tegar Adi Pangestu