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Mitigasi Risiko Keselamatan dan Kesehatan Kerja Produksi Krimer Menggunakan House of Risk Muhammad Farhan Hanafi; Andarmadi Jati Abdhi Wasesa
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 3 (2026): Juli - September
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i3.1784

Abstract

Proses produksi krimer bubuk memiliki karakteristik bahaya yang kompleks karena melibatkan bahan berbentuk serbuk halus, mesin bertekanan, temperatur tinggi, bahan kimia pembersih, perpindahan material, dan aktivitas manual berulang. Kondisi tersebut menuntut pemetaan risiko yang tidak hanya menilai kejadian kecelakaan, tetapi juga memprioritaskan penyebab yang mampu memicu beberapa kejadian sekaligus. Penelitian ini bertujuan mengidentifikasi kejadian dan agen risiko keselamatan dan kesehatan kerja, menentukan agen risiko prioritas, serta menyusun urutan strategi mitigasi pada proses produksi PT. XYZ. Penelitian menggunakan studi kasus deskriptif dengan data kualitatif dan kuantitatif. Data dikumpulkan melalui observasi, wawancara, dan kuesioner terhadap 25 responden yang dipilih secara purposif dari area penerimaan bahan, pencampuran, pengeringan semprot, produksi, pengemasan, laboratorium pengendalian mutu, dan fungsi keselamatan kerja. Analisis dilakukan menggunakan House of Risk dua fase. Hasil penelitian mengidentifikasi 16 kejadian risiko dan 16 agen risiko. Agen dengan Aggregate Risk Potential tertinggi adalah paparan debu halus bahan baku dengan nilai 470, diikuti sumber percikan dari gumpalan krimer hangus dengan nilai 369. Sepuluh agen prioritas menyumbang 87,88% dari total potensi risiko agregat. Pada fase mitigasi, prosedur Clean as You Go memperoleh nilai Effectiveness to Difficulty tertinggi sebesar 3.033, disusul penggunaan alat pelindung diri lengkap sebesar 1.896 dan pelatihan pengangkatan manual sebesar 1.611. Temuan menunjukkan bahwa pengendalian segera berbasis kebersihan area dan kepatuhan pekerja perlu dipadukan dengan investasi rekayasa berupa pengendalian debu dan proteksi kebakaran. Pendekatan bertahap tersebut memberikan dasar operasional bagi perusahaan untuk mengalokasikan sumber daya keselamatan secara lebih terarah.
Pengendalian Kualitas Produk Karpet Sapi Menggunakan Six Sigma pada PT X Fredy Arya Eka Nugraha; Andarmadi Jati Abdhi Wasesa
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 3 (2026): Juli - September
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i3.1847

Abstract

  Industri manufaktur karet memerlukan pengendalian variasi proses karena cacat pada tahap vulkanisasi dan pengepresan langsung memengaruhi fungsi, tampilan, biaya pengerjaan ulang, serta keandalan produk. Penelitian ini bertujuan mengidentifikasi karakteristik cacat produk karpet sapi, menentukan prioritas perbaikan, mengevaluasi kestabilan dan kapabilitas proses, serta merumuskan tindakan pengendalian pada PT X. Penelitian menggunakan studi kasus deskriptif-kuantitatif dengan pendekatan Six Sigma pada tahap Define, Measure, dan Analyze. Data mencakup seluruh produksi selama 28 hari aktif pada Oktober 2025, yang dikumpulkan melalui observasi, wawancara, dokumentasi, dan laporan quality control. Analisis menggunakan Critical to Quality, diagram Pareto, p-chart, Defects per Million Opportunities, level sigma, dan diagram sebab-akibat. Dari 10.992 unit produksi tercatat 1.027 unit cacat atau 9,34%. Lima kategori cacat teridentifikasi, sedangkan rekap kategori mengklasifikasikan 1.005 kejadian; tiga cacat terbesar, yaitu menggelembung, ketebalan tidak sesuai, dan hasil mentah, menyumbang 73% cacat terklasifikasi. P-chart menunjukkan hari ke-2 dan ke-12 melampaui batas kendali atas serta hari ke-11 berada di bawah batas kendali bawah. Perhitungan agregat menghasilkan 23.357,90 DPMO dan tingkat proses sekitar 3,49 sigma. Akar masalah mencakup ketidakstabilan suhu dan tekanan, disiplin prosedur, kualitas compound, kalibrasi pengukuran, serta lingkungan kerja. Temuan menegaskan bahwa perusahaan perlu melanjutkan tahap Improve dan Control melalui standardisasi parameter press, pemeliharaan preventif, penguatan kompetensi operator, pengendalian material, dan pemantauan statistik berkelanjutan.
Anthropometry Application for Flexible Chair College Wasesa, Andarmadi Jati Abdhi; Jumali, Muhamad Abdul
Tibuana Vol 4 No 01 (2021): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.4.01.3175.1-6

Abstract

Anthropometry is a part of ergonomics that specifically studies body size which includes linear dimensions, as well as content, also includes areas of size, strength, speed, other aspects of body movement.Chairs are furniture that functions as seats, with the demands of the public for the design of chairs, many innovations have sprung up for the manufacture of chairs, the comfort factor is the most served in the process of making chairs, one of which is the lecture chair.The research subjects in this study were undergraduate students at a tertiary institution in East Java with male and female sex, with an age range of 18-25 years. As a result, for Hips Width The size of the seat width used is 36 cm (95th percentile) so that large people can fit when occupying a chair, for Back Height The height of the chair is 57 cm (5th percentile) so that people with small body postures can sit comfortably without difficulty, for Knee Length The length of the knee is 61 cm (95th percentile).
Efficiency Distribution Analysis with Data Envelopment Analysis (DEA) Approach Fertilizer Koesdijati, Titiek; Wasesa, Andarmadi Jati Abdhi
Tibuana Vol 4 No 02 (2021): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.4.02.4010.91-98

Abstract

Distribution channels have an important meaning for achieving company success in the field of marketing so that company management is required to always be responsive and able to adapt to environmental changes. Input and output data processing is done by giving weights to the input and output using the DEA CCR primal model by maximizing the input-oriented-based objective function. The results of processing the efficiency scale show the relative efficiency level of the scale of each DMU in the company. The efficiency scale is obtained through the formulation of the DEA CCR primal model between each DMU input and output. If the DMU gets an input and output efficiency value of less than 100%, then the DMU is said to be relatively inefficient. Meanwhile, if the efficient value is equal to 100%, then the DMU is said to be relatively efficient. Of the 5 distribution cities, Sidoarjo, PaluKendari, Bandung and Lamongan which were analyzed, there were 2 cities that were inefficient or experiencing waste in their input and output variables, so the company needed to reorganize the level of use of inputs and outputs it achieved and utilize them optimally to get output that is optimal. targeted.
Application of the Analytic Hierarchy Process (AHP) in Strategic Site Selection for Software Development Branch Expansion in Indonesia Jumali, Muhamad Abdul; Andarmadi Jati Abdhi Wasesa; Harno Suntoko; Moch.Fatur Angga Pratma
Tibuana Vol 8 No 2 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.2.10483

Abstract

In an era where digital transformation dictates the survival of technology firms, selecting the optimal branch location is no longer a peripheral decision it is a strategic imperative. This study offers a powerful yet practical application of the Analytic Hierarchy Process (AHP) to evaluate potential expansion sites for a mid-sized software development company in Indonesia. By integrating expert judgments with location-specific criteria such as talent availability, infrastructure reliability, ecosystem proximity, and cost efficiency, the AHP model provides a structured, transparent, and replicable framework for decision-making. The results clearly identify Location A—an urban tech hub near major IT universities as the most strategic choice, significantly outperforming other alternatives. More than just a location ranking, this model demonstrates how conventional decision-making in software enterprise expansion can be elevated through applied analytical thinking. The study also proves that even without high-end analytics platforms, decision models built in common tools like Excel can yield robust and scalable insights. These findings carry immediate relevance for technology firms, policy planners, and academic researchers who seek to align operational expansion with long-term innovation and productivity outcomes in knowledge-based industries.
Penerapan Metode House Of Risk (HOR) dalam Upaya Mengurangi Potensi Kecelakaan Kerja di Area Produksi Gasket Hake Indriyanto Pratama; Andarmadi Jati Abdhi Wasesa
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i3.2408

Abstract

This study aims to identify the potential risk of work accidents, determine the main causative factors, and develop risk mitigation strategies using the House of Risk (HOR) method in the gasket production area at PT XY. This research is motivated by the high potential for work accidents caused by the use of production machines, especially press machines that are not equipped with safety systems, as well as the implementation of risk management that still needs to be improved. The research uses a quantitative descriptive method by collecting data through direct observation and interviews with parties involved in the production process. The analysis was carried out using HOR Phase I to identify and determine the priority of risk agents based on the Aggregate Risk Potential (ARP) value, then continued with HOR Phase II to determine the most effective mitigation actions. The results of the study showed that there were 10 risk events and 14 risk agents that had the potential to cause work accidents. The main causative factors include high production targets, reduced operator concentration, machines without safety guards, non-compliance with SOPs, less than optimal preventive maintenance, damaged electrical cables, and inconsistent use of personal protective equipment (PPE). Prioritized mitigation strategies include increasing compliance with the use of PPE, implementing regular preventive maintenance, strengthening the implementation of SOPs through routine inspections, Occupational Safety and Health (K3) training, implementing the 5R/5S program, and installing safety sensors on press machines. The application of the HOR method provides a systematic approach in determining risk control priorities so that it can improve work safety in the production area.
PENGENDALIAN KECACATAN PRODUK KARBIT MENGGUNAKAN METODE SIX SIGMA DI PT EMDEKI UTAMA Tbk Qadafi Al gazi; Andarmadi Jati Abdhi Wasesa
Seminar Nasional Hasil Riset dan Pengabdian Vol. 8 (2026): Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Ke 8 Tahun 2026
Publisher : LPPM Universitas PGRI Adi Buana

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

Abstract

Pada tahun 2020 kapasitas terpasang industri baja Indonesia sebesar 19,6 juta ton. Memotong dan mengelas besi dan baja pada industri perkapalan, pertambangan, karoseri mobil (otomotif) serta industri kecil tidak luput dalam penggunaan gas asetilen. Bahan baku utama pembuatan karbit adalah batu kapur (limestone) dan metallurgical coke Satu-satunya produsen karbit di Indonesia adalah PT Emdeki Utama Tbk. Dari produksi karbit sering ditemukan kecacatan atau afkir di quality control. Kerusakannya proses produksi karbit ada 4 jenis cacat yang dominan dalam 13 minggu terakhir yaitu : Keropos, fero, bercak, karbit lembek. Metode dalam penelitian ini yaitu menggunakan six sigma berfokus dengan 5 proses yaitu DMAIC atau dikatakan ( Define, Measure, Analyze, Improve, Control ). Nilai sigma setelah proses perbaikan cacat karbit keropos mengalami peningkatan dari sebelum perbaikan nilai Defect per Million Opportunity 84.949 dengan sigma level 2.9 menjadi nilai Defect per Million Opportunity 12.480 dengan sigma level 3,7.