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Analysis of Packaging Machine at PT. Dunia Kimia Jaya Gresik Using Overall Equipment Effectiveness and Fault Tree Analysis Farich Maulana, Muhammad; Jufriyanto, Mohammad
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38264

Abstract

This study evaluates the effectiveness of a Sodium Metabisulfite (SMBS) packaging machine at PT. DKJ using Overall Equipment Effectiveness (OEE) and Fault Tree Analysis (FTA). OEE was employed to assess machine performance through availability, performance, and quality indicators, while the Six Big Losses framework was used to identify major sources of productivity loss. Furthermore, FTA was applied to determine the root causes of dominant losses affecting machine effectiveness. The study utilized production data, direct observations, interviews, and company records collected from December 2024 to May 2025. The results indicate that the average OEE value of the packaging machine was 63.26%, significantly below the international benchmark of 85%, with low availability and performance as the primary contributors. Six Big Losses analysis revealed that breakdown losses and setup and adjustment losses were the most dominant factors. FTA identified component failure, inadequate preventive maintenance, operator-related errors, and complex setup procedures as the main root causes. This study proposes structured preventive maintenance, operator training, standardized operating procedures, and improved production–material coordination to enhance machine effectiveness and ensure sustainable production performance.
Effectiveness Analysis of Granulator Machine Using OEE and FTA at NPK Phonska I PT Petrokimia Gresik Hendrawan, Mochammad Ega; Jufriyanto, Mohammad
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38252

Abstract

This study aims to evaluate and improve the effectiveness of the granulator machine at the NPK Phonska I Plant of PT Petrokimia Gresik through an integrated Overall Equipment Effectiveness (OEE) and Fault Tree Analysis (FTA) approach. The granulator machine frequently fails to achieve the 2024 production target of 37,500 tons per month due to high downtime (89.24 hours/month) and defective products reaching 17,847 tons annually. The research applies OEE to calculate availability, performance efficiency, and quality rate, followed by Six Big Losses classification and FTA to determine the fundamental causes of machine underperformance. The findings show that the average OEE is 62.1%, significantly below the world-class benchmark of 85%, with the largest losses coming from equipment failure (49.00%) and reduced speed losses (37.75%). The novelty of this research lies in the integration of OEE–FTA with additional correlation analysis between downtime and defect ratios and the identification of heat-related and material-variability effects specific to fertilizer granulation. Scientifically, this study contributes a structured improvement framework tailored for the national fertilizer industry, offering evidence-based maintenance strategies and operational insights to support the company’s effort in achieving world-class machine effectiveness.
Perbaikan Tata Letak Fasilitas Produksi Dan Gudang Mengunakan Activity Relationship Chart (ARC) Dan From-To Chart (FTC) Mufid Edy Cahyono; Mohammad Jufriyanto; Efta Dhartikasari Priyana
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 1 (2026): 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.v5i1.1477

Abstract

Tata letak fasilitas berperan penting dalam menjaga kelancaran aliran material dan meningkatkan efisiensi proses produksi. Penataan fasilitas yang kurang tepat dapat menyebabkan jarak perpindahan material menjadi panjang serta terjadinya kepadatan lintasan, dan konflik pergerakan kendaraan yang berpotensi menyebabkan bottleneck. PT XYZ sebagai perusahaan yang bergerak di sektor logistic pupuk, menghadapi kendala pada area produksi dan pergudangan yang disebabkan oleh pengaturan jarak antar stasiun kerja serta alur material handling yang belum tertata secara optimal. Penelitian ini dilakukan untuk menyusun kembali tata letak fasilitas produksi dan gudang dengan menerapkan metode ARC dan FTC. Data diperoleh melalui observasi langsung dan data dari perusahaan, kemudian dianalisis dengan perhitungan koordinat titik tengah, evaluasi aliran forward dan backward, serta analisis jarak lintasan. Hasil penelitian menunjukkan peningkatan persentase aliran forward dari 58% menjadi 82,9% dan penurunan backward dari 22% menjadi 17,7%, disertai peningkatan efisiensi jarak lintasan sebesar 13,9%. Hasil ini menunjukkan bahwa penerapan ARC dan FTC mampu meningkatkan efisiensi tata letak fasilitas secara efektif.
Evaluasi Risiko Kecelakaan Kerja Menggunakan Metode HIRARC dan JSA pada Proyek Konstruksi Industri Kimia: (Studi Kasus: PT Sika Indonesia) Ridlo Putu Idaman; Mohammad Jufriyanto; Efta Dhartikasari Priyana
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 1 (2026): 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.v5i1.1478

Abstract

Proyek pembangunan perluasan gedung PT Sika Indonesia melibatkan serangkaian aktivitas berisiko tinggi seperti pekerjaan di ketinggian dan penggunaan alat berat, sehingga menuntut adanya evaluasi risiko yang sistematis. Penelitian ini bertujuan untuk mengevaluasi risiko kecelakaan kerja di proyek tersebut dengan mengintegrasikan metode Hazard Identification, Risk Assessment, and Risk Control (HIRARC) dan Job Safety Analysis (JSA), sebuah pendekatan yang belum banyak diterapkan pada proyek perluasan industri kimia untuk analisis yang lebih mendalam. Menggunakan metode deskriptif dengan pendekatan studi kasus, dimana data primer dikumpulkan melalui observasi lapangan dan diskusi, teridentifikasi 12 aktivitas kerja utama di dua area kritis. Dari hasil penelitian, analisis menunjukkan adanya lima aktivitas dengan tingkat risiko Ekstrem, dua aktivitas berisiko Tinggi, empat sedang, dan satu rendah. Risiko dominan yang teridentifikasi adalah jatuh dari ketinggian, tertimpa material berat, dan kegagalan fungsi alat angkat angkut. Integrasi metode HIRARC dan JSA dalam penelitian ini berhasil memetakan dan memprioritaskan risiko secara komprehensif, dari level makro hingga detail operasional. Rekomendasi pengendalian yang dihasilkan menekankan pentingnya pendekatan sistemik yang tidak hanya bergantung pada Alat Pelindung Diri (APD), tetapi mencakup perbaikan prosedur kerja, peningkatan kompetensi personel, dan pengawasan yang konsisten untuk menekan risiko ke tingkat yang dapat diterima serta membangun budaya keselamatan yang berkelanjutan.
Analisis Kinerja Mesin Mobile Bagging Unit (MBU) Dengan Menggunakan Metode OEE (Overall Equipment Effectiveness) Dan FMEA (Failure Mode and Effect Analysis) Alvin Jaya Ramadhan; Moh Jufriyanto
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 1 (2026): 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.v5i1.1510

Abstract

Mesin Mobile Bagging Unit (MBU) merupakan layanan utama PT. ABC yang berfungsi sebagai sarana pengantongan pupuk ZA Plus dalam mendukung kelancaran distribusi produk. Mesin ini berperan penting dalam rantai penyimpanan dan pengelolaan komoditas, baik dalam bentuk curah maupun kemasan. Namun, dalam beberapa bulan terakhir, operasional MBU mengalami peningkatan downtime akibat faktor internal seperti kerusakan komponen dan gangguan mesin pewarna, serta faktor eksternal berupa keterlambatan pasokan bahan baku. Usia operasional mesin yang telah mencapai lima tahun juga berkontribusi terhadap penurunan performa dan ketidakstabilan laju produksi. Penelitian ini bertujuan untuk mengevaluasi efektivitas operasional mesin MBU serta mengidentifikasi sumber utama ketidakefisienan yang ditandai oleh tingginya downtime dan fluktuasi kecepatan produksi. Data penelitian meliputi catatan operasi, perawatan, hasil produksi, dan produk cacat pada periode Mei–Oktober 2025. Metode Overall Equipment Effectiveness (OEE) digunakan untuk mengukur efektivitas mesin berdasarkan availability, performance, dan quality, sedangkan Failure Mode and Effect Analysis (FMEA) diterapkan untuk mengidentifikasi potensi kegagalan dan menentukan prioritas perbaikan. Hasil analisis menunjukkan nilai OEE rata-rata sebesar 47,12%, masih jauh di bawah standar kelas dunia 85%, dengan Performance Efficiency sebagai faktor terendah. Analisis Six Big Losses mengungkapkan bahwa kerugian terbesar berasal dari reduced speed losses dan breakdown losses. Sementara itu, FMEA mengidentifikasi jarum jahit, nepel pisau, dan looper sebagai komponen dengan risiko tertinggi. Berdasarkan temuan tersebut, disarankan penerapan perawatan preventif terencana, penggantian komponen kritis secara berkala, serta pemantauan kondisi mesin secara waktu nyata guna meningkatkan keandalan dan produktivitas mesin MBU secara berkelanjutan.
Surface Roughness Prediction in CNC Turning Using Artificial Neural Network (ANN) Khairul Umam; Adilla Tristianto, Charismanda; Jufriyanto, Moh; Sya'roni , Imam
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 2 (2025): VOL. 02 NO. 02 (DECEMBER 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i2.1370

Abstract

Computer Numerical Control (CNC) turning is one of the most widely applied precision machining technologies in modern manufacturing, where surface quality is a key determinant of product performance and reliability. Surface roughness (Ra) is recognized as one of the most critical parameters for evaluating machining results. However, reliance on operator experience in selecting machining parameters often leads to inefficiencies and inconsistent surface quality, indicating the need for more accurate predictive approaches. This study proposes an Artificial Neural Network (ANN)-based model to predict surface roughness in CNC turning using two distinct experimental configurations. The first experiment (Exp1) employs three identical factor variations, whereas the second experiment (Exp2) incorporates different factorial combinations to introduce broader variability. The developed ANN architecture consists of four dense layers with ReLU and LeakyReLU activation functions, complemented by dropout layers to mitigate overfitting arising from the relatively small dataset. The results show that the ANN model effectively learns the nonlinear relationships between machining parameters and Ra values. Furthermore, the model achieves higher predictive accuracy in Exp2, likely due to its more structured parameter variations. Overall, the findings demonstrate that ANN-based prediction provides a promising and efficient approach for enhancing accuracy in surface quality assessment within CNC turning operations.   Keywords-  Artificial Neural Network (ANN); CNC Turning; Surface Roughness.  
Pembelajaran Tata Letak Fasilitas Guna Meminimalisir Waktu Proses Produksi Pada TEFA SMK Manbaul Ulum Moh. Jufriyanto; Deny Andesta; Elly Ismiyah; Misbah Misbah; Ahmad Fauzal Ibnu Malik; Fahrizal Hamdani
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 5 No. 1 (2026): Februari: Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v5i1.6378

Abstract

The layout of facilities in the industrial world greatly affects the production process of a product. If the spatial layout used is good and appropriate, it will indirectly save distance, costs, time, and effort. Community service activities are carried out in partnership with SMK Manbaul Ulum. These activities aim to provide learning about facility layout to minimize production process time. The expected outcome of these activities is that students will be able to understand how to reduce excessively long production times and increase the number of products in a business unit, which impacts student productivity. The implementation methods include delivering material, simulating the production process layout, and conducting Q&A discussions. As a result, the activities are able to enhance students' understanding of the importance of layout in production facilities. Students can also simulate the production process to evaluate the existing layout in order to minimize production time. This activity has an impact on decision-making and problem-solving.
Determinants of Intention to Reuse Food Delivery Applications in Generation Z Krisnawati, Wenti; Jufriyanto, Mohammad; Reviandani, Wasti
Journal of Economics and Social Sciences (JESS) Vol. 4 No. 2 (2025): Journal of Economics and Social Sciences (JESS)
Publisher : CV. Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/jess.1380

Abstract

This study aims to answer the question of why someone uses FDA by using independent variables, namely special benefits, time saving, delivery experience, reviews and price value for reusing applications mediated by customer satisfaction. Total of 179 Generation Z respondents participated in this study. The design in this study uses quantitative and analytical techniques using PLS tools. Interesting findings in this study were successfully identified. This study found that time saving that is considered to be able to make people satisfied and return to reuse the FDA proved unacceptable, which means that in Generation Z there is perceived dissatisfaction with the time given by the FDA, and Generation Z does not need to save time in ordering food online, time saving is not a reason for them to reuse the FDA. In this case, online application food delivery service providers  must consider other causes that make them satisfied and willing to use the FDA application again, for example,  the special benefits offered, and the experience in ordering food, reviews and price values that are highly regarded by consumers, especially in generation Z which has an effect on customer satisfaction which in the end satisfaction affects the reuse of the application.
Co-Authors Achmad Agung Wahyudi Adilla Tristianto, Charismanda Agus Setiawan Ahmad Fahrul Sholeh Ahmad Fauzal Ibnu Malik Ahmad Wasiur Rizqi Ainiyah, Yulia Nur aji, Sahidin Sasmito Akhmad Ferdy Firmansyah Akhmad Wasiur Rizqi Alifiansyah Rizaldy Satya Putra Alvian, Fahri Alvin Jaya Ramadhan Amrillah, Mohammad Suhud Andi Andi Andre Viola Andy Kurniawan Angga Prasetyo Tanto Ar Rohman, Muhammad Hafid Arif Rubihanto Arifin Pahlawan, Ilham Aspar MS, Rezky Fathiyah Putri Aziz, Muchammad Rif'an Bintang Muslimah, Tsaqofi Chandra Muhamadin, Rilo Cholifaturochmah Cholifaturochmah Dahda, Said Salim delta medika Juniarto Deny Andesta Dhartika Sari, Efta Dhartikasari, Efta Dhidu Usrin Yadani Dzakiyah Widyaningrum Efta Dhartikasari Priyana Efta Dhartikasari Priyana Efta Dhartikasari Priyana Elly Ismiyah Emdat Suprayitno Eriyanto, Sabillah Rizki Evie Talia Nurrohmah Fahrizal Hamdani Faisal Amir Farich Maulana, Muhammad Fathurrozi, Muhammad Fatimatuz Zahra, Fatimatuz Fauziyah, Endang Febriantie, Eka Ladya Charyl Fiih, Ahmad Laaroiba Firmansyah, Mohammad Nabil Firmansyah, Muhammad Machfud Fitrah Fitriyana, Deni Fajar Galih Dwi Suryanto Hafidah, Lailatul Hekmah, Lailatul Hendrawan, Mochammad Ega Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Khairul Umam Khoiriyah, Amanda Rizqi Kukuh Winarso Kurniawan, Moh. Dian Kurniawan, Ricky Wahyu M. Tajul Arifin Maulan Najib May Dian Susanto Misbah Moch. Nuruddin Moh. Dian Kurniawan Mohammad Arif Alfriyan Syah Mohammad Faisal Setyabudi Mohammad Rizal Mualief, Muhammad Mufid Edy Cahyono Muhamadin, Rilo Chandra Muhammad Bashori Alwi Muhammad Choirul Anam Muhammad Hasanuddin, Muhammad Muhammad Irfan Maruf Muhammad Zahidil Mukhtar Muhammad, Katon Muslimah, Tsaqofi Bintang NAFHANI, MUHAMMAD Natasya Sabrina Al Alifah Nina Aini Mahbubah Ningtyas, Alviani Hesthi Permata Nizar Adlany Nur Qomaruddin Rafli Pahlawan, Ilham Arifin Permata Ningtyas, Alviani Hesthi Pratiwi, Palupi Adilia Pregiwati Pusporini Purwanto Purwanto R Indriawan Praja Kusuma Rabbani, Nazwa Nayya Nanita Rafly Arifin, Muhammad Reza Ardiansyah Ridlo Putu Idaman Rizqi, Ahmad Wasiur Rizqy Cahya Putra Fil Akbar Said Salim Dahdah Salman Al Farisy Salwatul Aisy Satria Bayu Nugraha Satya Putra, Alifiansyah Rizaldy Sesilia, Khofidatul Setiawan, Nur Ervil Soffiana Agustin, Soffiana Suraying, Suraying Susisno, Bayu Tri Sya'roni , Imam Syahputra, Rifendy Ardian thoyyibul hikam Tsaqofi Bintang Muslimah Wahyudi, Avif Mas Wardhana, I Kadek Yushak Wasti Reviandani Wenti Krisnawati Yanuar Pandu Negoro Yanuarsah, Rendra Yudha Adhitya Kurniawan Yusron, Rifky