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All Journal JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Cakrawala Ilmiah Sidoluhur prosiding seminar nasional Jurnal Teknologi dan Manajemen Industri Terapan Journal of Student Research Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Ilmiah Research and Development Student JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Jurnal Rekayasa Proses dan Industri Terapan Jurnal Ilmiah Research Student JURNAL MULTIDISIPLIN ILMU AKADEMIK Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Jurnal Ilmiah Nusantara Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika International Journal of Industrial Innovation and Mechanical Engineering
Ayudyah Eka Apsari
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EQ Spacing Quality Control Using Statistical Quality Control and Fault Tree Analysis at PT Sinar Semesta Ahmad Zada Hilmi Syifa’; Ayudyah Eka Apsari
International Journal of Industrial Innovation and Mechanical Engineering Vol. 2 No. 3 (2025): August: International Journal of Industrial Innovation and Mechanical Engineeri
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijiime.v2i1.166

Abstract

PT Sinar Semesta is a company engaged in the metal casting industry. In its production process, defects were still found during the period from March 2023 to February 2024. Out of a total production of 4,950 units, there were 1,004 defective units, consisting of 534 units with flow error defects and 470 units with porosity defects. To address this issue, quality control methods such as Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) are necessary to minimize product defects, improve quality, and maintain high standards. Based on the Pareto diagram, the most dominant defect percentages are flow error defects at 53.19% and porosity defects at 46.81%. The control chart shows points beyond the upper control limit (UCL) occurring in April with 148 units, May with 145 units, and October with 149 units, and below the lower control limit (LCL) occurring in August with 35 units, January with 36 units, and February with 32 units. Based on the fault tree analysis, five main factors causing defects were identified: human, machine, raw material, method, and environment. Proposed improvements include operator training, routine machine maintenance, accurate raw material measurement, use of high-quality raw materials, pre-pouring temperature checks, increased supervision, and environmental improvements.
Development of a Soybean Crushing Machine Based on the VDI 2221 Method at UKM Tempe Tiga Putra Hilmi Syifa, Ahmad Zada; Ayudyah Eka Apsari
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 1 (2025): June 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i1.13864

Abstract

UKM Tempe Tiga Putra, located in Jepara, faces challenges in the manual soybean crushing process. This process takes approximately 2 hours and 30 minutes per day to handle a daily capacity of 65 kg and imposes significant physical strain on workers, especially on the wrists. This study aims to design a more efficient and ergonomic soybean crusher using the VDI 2221 method. The resulting machine features specifications such as a ¼ hp AC motor, a hollow galvanized frame, an A-type V-belt, and dimensions tailored to the operator's anthropometry. The machine reduces processing time to 24 minutes per day, improving efficiency by 83.97%. The VDI 2221 method facilitated a design that meets the technical and economic requirements of the UKM while enhancing operator comfort. This innovation not only boosts production efficiency but also minimizes the risk of injury from manual labor. Consequently, the tool significantly enhances productivity and fosters a better working environment at UKM Tempe Tiga Putra.
Pengendalian Kualitas Produk Tempe menggunakan Metode Six Sigma di UMKM Tempe Ibu Ida Alisa Muljoko Muljoko; Ayudyah Eka Apsari
Jurnal Rekayasa Proses dan Industri Terapan Vol. 3 No. 2 (2025): Mei: Jurnal Rekayasa Proses dan Industri Terapan ( REPIT )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/repit.v3i2.1121

Abstract

UMKM owned by Mrs. Ida Alisa use 150 kg of soybeans which produce around 400 pcs of tempeh per day. MSMEs owned by Mrs. Ida Alisa have 5 employees in the traditional tempeh production process with the tempeh production process covering several stages, namely soaking, peeling, boiling, adding yeast, packaging, and fermentation. Six Sigma is a structured and systematic problem-solving method using the DMAIC (define, measure, action, improve, control) standard as the process flow. The main focus of Six Sigma is on quality improvement to meet customer satisfaction. The number of defects in tempeh products is Gross with a total of 299 with a defect percentage of 39.2%, packaging with a number of 228 with a defective percentage of 29.9%, and Texture with a number of 236 with a defect percentage of 30.9%. From this percentage, the highest percentage value can be obtained, namely on dirty tempeh defects. From the results of data processing, suggestions for improvement were obtained, among others, training and socialization to operators in order to maximize the production process, giving directions to operators and maintenance to check before starting production so that the readiness of the machine to be used can be tested. In addition, a Standard operating procedure (SOP) was made regarding sorting and soaking processes for the production process.
ANALISIS SPC PADA PRODUKSI GENTENG DI UD. GENTENG MANTILI SDH KABUPATEN PRINGSEWU Yosijanuardi, Yosi; Ayudyah Eka Apsari
Jurnal Cakrawala Ilmiah Vol. 3 No. 10: Juni 2024
Publisher : Bajang Institute

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Abstract

Problems in the production process at UD. Mantili Tile Sdh Pringsewu Districtcaused losses to the company and customers. From January to December 2023, theproduct defect rate reaches 13%, while the allowable production defect tolerancelimit is 7%. This high level of defects contributes to an increase in production costs.Therefore, this research is expected to reduce the level of production defects. Manyfactors cause defects, such as raw material quality, human error, and poorequipment condition, affecting productivity and product quality. By using theStatistical Process Control (SPC) method, it is expected to reduce the defect rate,identify the type of damage, and categorize the factors causing product defects. Dataprocessing using pareto charts shows that fracture defects are the most dominantwith a percentage of 53.1%, followed by crack defects at 46.9%. Analysis withfishbone diagrams reveals that the causative factors of disability consist of threemain elements: human, material, and method
ANALISIS RESIKO KERJA PT ANEKA ADHILOGAM KARYA DENGAN METODE JSA DAN HIRARC Wahid Nur Akbar Putra Harahap; Ayudyah Eka Apsari
Jurnal Cakrawala Ilmiah Vol. 3 No. 11: Juli 2024
Publisher : Bajang Institute

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Abstract

PT Aneka Adhilogam Karya merupakan perusahaan industri logam di Jl. Kop. Batur Jaya, Batur, Tegalrejo, Kec. Ceper, Kab. Klaten, Jawa Tengah 57465, yang memproduksi sambungan pipa air minum dengan spesifikasi besi tuang kelabu dan besi cor bergrafit bulat. Penerapan kesehatan dan keselamatan kerja (K3) menjadi tanggung jawab seluruh elemen pada perusahaan tersebut dan harus diterapkan dengan benar sesuai dengan standar K3 itu sendiri. Lingkungan kerja yang tidak memenuhi Standard Operating Procedure (SOP), contohnya alat pelindung diri (APD) karena dapat meminimalisir kecelakaan kerja yang terjadi. Permasalahan yang ada pada PT Aneka Adhilogam Karya masih kurang penerapan keselamatan dan kesehatan kerja pada setiap proses area lantai produksi dengan tujuan penelitian mengidentifikasi potensi bahaya, mengetahui penilaian level risiko, dan rekomendasi pengendalian. Dari 6 area lantai produksi setelah dilakukan perhitungan metode JSA dan HIRARC terdapat 29 potensi bahaya dari 3 kategori risiko dan penilaian risiko kecelakaan kerja dengan kategori risiko tinggi berjumlah 2 dengan nilai presentase 6,89 %, kategori risiko sedang berjumlah 7 dengan nilai presentase 24,13 % dan kategori risiko rendah berjumlah 20 dengan nilai presentase 68,96 %.
Analisis K3 Pada Aktivitas Pemotongan Ayam Dengan Menggunakan Metode JSA dan HIRARC Nofal Azhar Pratama; Ayudyah Eka Apsari
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 3 No. 2 (2024): 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.v3i2.327

Abstract

Pekerjaan pemotongan hewan merupakan sebuah pekerjaan yang memiliki pontensi bahaya dan dapat menimbulkan terjadinya kecelakaan kerja. Kecelakaan kerja tersebut dapat menimbulkan bahaya bagi pekerja, perusaahaan, dan bahkan masyarakat sekitar. Pemotongan Ayam UD. XYZ ini perharinya dapat menerima pesanan sekitar 100 hingga 250 ekor ayam dan pada saat proses produksi tentunya diperoleh sejumlah risiko kecelakaan bagi pekerja yang terlibat. Oleh karena itu, tujuan dari penelitian ini adalah untuk mengetahui hasil analisis data kecelakaan kerja dengan metode JSA dan HIRARC serta untuk mengetahui rekomendasi pengendalian bahaya untuk mengurangi tingkat kecelakaan kerja yang terjadi. Dalam penelitian ini yang menjadi subjek penelitian adalah bahaya yang terdapat di lokasi kerja dan bahaya yang terjadi pada saat proses produksi berlangsung. Sedangkan yang menjadi objek penelitian adalah seluruh kegiatan proses produksi, kondisi lingkungan didalam pabrik dan kinerja pekerja. Hasil dari penelitian ini adalah diketahui persentase tingkatan resiko berdasarkan skala tingkat kemungkinan kejadian (likelihood) dan keparahan yang dapat ditimbulkan (concequences). Nilai presentase untuk masing masing tingkat risikonya adalah Low Risk sebesar 27,78%, Medium Risk sebesar 50%, High Risk sebesar 16,67% dan Extreme Risk sebesar 5,55%. Rekomendasi pengendalian yang dapat diterapkan berdasarkan segitiga hirarki pengendalian adalah menghilangkan (elimination), rekayasa teknik (engineering control), administrasi (administrative control), dan pemberian APD (PPE)
Analisis Material Requirement Planning (MRP) untuk Perencanaan dan Pengendalian Persediaan Bahan Baku Produksi Saus Martinus Wisnu Saputra; Ayudyah Eka Apsari
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 3 No. 3 (2024): 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.v3i3.363

Abstract

PT XYZ merupakan perusahaan di wilayah Yogyakarta yang memproduksi saos sebagai produk utamanya. Saat ini sistem perencanaan kebutuhan bahan baku perusahaan belum optimal karena tidak memperhitungkan kebutuhan masa depan, sehingga perlu melakukan perencanaan tingkat produksi dan pengelolaan bahan baku baik dalam hal pembelian maupun pemakaian yang didahului dengan perhitungan peramalan permintaan konsumen. Titik fokus atau yang menjadi objek penelitian adalah tingkat pemakaian dan kebutuhan bahan baku saos. Pengumpulan data dilaksanakan dengan observasi dan wawancara serta pengolahan data dilakukan dengan metode Material Requirement Planning (MRP) dengan membandingkan teknik lot sizing seperti Lot for Lot (LFL) dan Economic Order Quantity (EOQ). Teknik lot sizing yang menghasilkan biaya lebih rendah adalah teknik LFL, sehingga keputusan yang diambil adalah perencanaan kebutuhan bahan baku di PT XYZ dengan metode MRP akan menggunakan teknik LFL. Perhitungan MRP dengan teknik LFL dapat diimplemetasikan karena lead time bahan baku tidak lama serta pemasok bahan baku tidak mensyaratkan ukuran lot tertentu. Perencanaan kebutuhan bahan baku dengan metode MRP lebih optimal dibandingkan metode konvensional. Penggunaan metode MRP dapat menghemat biaya persediaan hingga sebesar Rp 1.983.657,33 atau hampir 2 kali lipat dari metode konvensional.
PENERAPAN ERGONOMI DENGAN METODE RAPID ENTIRE BODY ASSESSMENT (REBA) UNTUK MENGURANGI RISIKO CEDERA PADA PROSES PENJEMURAN KERUPUK DI UMKM KERUPUK SUBUR Samau’al Dhani Putra Hartono; Jonat Jannata Tampana Putra; Fachrizal Nazir Nugroho; Achmad Tazaki Al Mamtuh; Fani Nugroho; Ayudyah Eka Apsari
JURNAL ILMIAH RESEARCH STUDENT Vol. 3 No. 1 (2026): Maret
Publisher : KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v3i1.8462

Abstract

Abstract. The cracker drying process at the Kerupuk Subur MSME is still carried out manually with non-ergonomic work postures, such as bending, lifting, and reaching repeatedly, which have the potential to cause musculoskeletal complaints. This study aims to identify worker complaints, analyze the level of work posture risk, and design an ergonomic drying table to reduce the risk of musculoskeletal disorders (MSDs). The methods used include the Nordic Body Map (NBM) to identify worker complaints, Rapid Entire Body Assessment (REBA) to assess work posture risks, and Quality Function Deployment (QFD) to translate worker needs into technical specifications for table design. The NBM results show dominant complaints in the waist, back, shoulders, wrists, and knees with a high risk category, while the REBA results in the initial condition obtained a score of 7 (moderate risk) which then decreased to 1 (very low risk) after the ergonomic table design was carried out. The application of QFD resulted in a drying table design that suits worker needs, including aspects of comfort, strength, flexibility, and ease of movement. The results of this study indicate that ergonomic drying tables can improve work posture and significantly reduce the risk of musculoskeletal disorders. Keywords: ergonomics, Nordic body map, REBA, QFD, musculoskeletal disorders, drying tables.
ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY (EOQ) DI PABRIK XYZ Yasin Ageng Prasetya; Ayudyah Eka Apsari
JURNAL ILMIAH RESEARCH STUDENT Vol. 3 No. 1 (2026): Maret
Publisher : KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v3i1.8527

Abstract

The Factory XYZ is a Micro, Small and Medium Enterprise (MSME) that produces round tofu crackers. MSMEs do not yet have a structured inventory management method for procuring raw materials. The problem that arises is that in January and February there is an excess of raw materials, but in March there is a shortage. Therefore, the purpose of this study is to propose raw material inventory control measures that can be used to avoid shortages or surpluses at minimal cost. This study uses the Economic Order Quantity (EOQ) method. Based on data processing using the EOQ method, the optimal order quantity is 13,516 kg with an order frequency of 16 times per year, a safety stock of 1,515.756 kg, a reorder point of 2,233.096 kg, and total inventory costs of Rp 1,019,072. Therefore, a proposal for controlling the raw material inventory of soybeans at Factory XYZ was obtained by applying the EOQ method, as it could save Rp 3,328,000 or 86.67% in ordering costs.
ANALISIS PENGENDALIAN KUALITAS PRODUK COVER GM5B MENGGUNAKAN METODE SIX SIGMA DAN FAILURE MODE AND EFFECT ANALYSIS DI PT X Riyanti, Ririn; Ayudyah Eka Apsari
JURNAL ILMIAH RESEARCH STUDENT Vol. 3 No. 1 (2026): Maret
Publisher : KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v3i1.8687

Abstract

Quality control is a crucial step in the production process. to maintain product quality and improve process efficiency. PT X is still experiencing defect problems in the GM5B cover product produced through the injection moulding process. During the period of March–May 2025, the total production of GM5B covers reached 13,397 pieces, with 1,145 defective products, resulting in a defect rate of 8,55%, which exceeds the company standard of 4%. The Six Sigma method was used to examine these issues utilizing the DMAIC (Define, Measure, examine, Improve, and Control) methodology. The Failure Mode and Effect Analysis (FMEA) method was used to identify possible failures based on the sources of defects. Risk Priority Number (RPN). The results of the analysis over a 12-week period showed an average Defects Per Million Opportunities (DPMO) value of 28,534.17 and an average sigma level of 3.42. According to the Pareto diagram study, the most prevalent type of defect was contamination, accounting for 36.07%. The causes of contamination defects were further identified using a fishbone diagram to determine the root causes. Further analysis using FMEA indicated that the short shot defect has the highest RPN rating of 270, indicating that corrective action should be given top priority. Improvement proposals were developed using the 5W+1H approach, and the control stage was implemented to ensure that the improvements could be carried out consistently and sustainably  
Co-Authors Achmad Tazaki Al Mamtuh Aditia Rahmana Ahmad Irfandi Halifasa Ahmad Zada Hilmi Syifa’ Aland Dewa Yasa Aldora Gavrila Faiq Alfin Kurnia Setiawan Aprita, Trike Aprita Fresa Kurnia Aranza Rifqi Diemsy Arief Eka Kurniawan atmaja, Jastika Amelia Diaz Arjun Annolu Diyah Dwi Nugraheni Dwi Rahayu Syawal Indah Fachrizal Nazir Nugroho Fahrul Huda Fani Nugroho Frysilia Tri Oktiasari Hanuring Ayu Hilmi Syifa, Ahmad Zada Jefri kurniawan Jonat Jannata Tampana Putra Labib, Danial Leo, Leo Deby Eko Saputra Lindu Aji Pranmestya Mardy, Dinda Oe Martinus Wisnu Saputra Mawardah, Melysa Putri Muhammad Khoiri Muslim Mukhtar Ahmad Swarnadi Muljoko Muljoko Nofal Azhar Pratama Oktyajati, Nancy Reihan Bintang Yuliandana Riyanti, Ririn Samau’al Dhani Putra Hartono Saputro, Wisnu Saputro Tutur Wisnu Wardana Vinsensius Hendro Wahid Nur Akbar Putra Harahap Yasin Ageng Prasetya Yose Rizal Taufiqurrahman Yosijanuardi, Yosi Yuliandana, Reihan Bintang