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All Journal Jurnal Teknik Industri TEKMAPRO Journal of Industrial Engineering and Management SITEKIN: Jurnal Sains, Teknologi dan Industri REKAYASA Semesta Teknika Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JURNAL REKAYASA SISTEM INDUSTRI INTECOMS: Journal of Information Technology and Computer Science Jurnal Serambi Engineering JKIE (Journal Knowledge Industrial Engineering) Jurnal Optimalisasi Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Journal of Applied Engineering and Technological Science (JAETS) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) G-Tech : Jurnal Teknologi Terapan MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Media Teknik dan Sistem Industri Journal of Industrial Engineering and Operation Management (JIEOM) INNOVATION RESEARCH JOURNAL DedikasiMU: Journal of Community Service KREATIF: Jurnal Pengabdian Masyarakat Nusantara JUSTI (Jurnal Sistem dan Teknik Industri) Jurnal Teknologi dan Manajemen Industri Terapan
Deny Andesta
Department Of Industrial Engineering, Universitas Muhammadiyah Gresik, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Analysis of Quality Improvement of Wood Powder Raw Materials at CV. NKM Using FMEA and FTA Methods Baad, Muhammad Fairuz; Andesta, Deny; Hidayat, Hidayat
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6537

Abstract

CV. NKM is a supplier company that takes manufacturing plant waste in the form of sawdust, especially waste from merbau wood, sent to factories whose main raw material is sawdust such as pallet factories, briquettes, etc. In every process there are defects such as powder mixed with other sizes, smelly and moldy powder, and wet powder. In every process there are defects such as powder mixed with other sizes, smelly and moldy powder, and wet powder.  These defects are due to human factors, tools/machines, storage, etc. So this research was conducted using the FMEA (Failure Mode and Effect) method used to determine the severity, occurrence, and detection levels, so that the highest RPN value of 576 was obtained, namely powder mixed with other sizes and FTA produced basic events from the highest RPN value, namely lack of rest hours, lack of supervision, and lack of routine control. After the results are known, an improvement proposal will be given for the highest RPN value, namely providing sufficient hours of rest and enforcing routine control of the tool/machine.
Perencanaan Peningkatan Kualitas Pelayanan di AL Coffee Menggunakan Metode Service Quality dan Quality Function Deployment Maulana, Putra Arif; Andesta, Deny
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6662

Abstract

AL Coffee is one of the hangout places for teenagers with a friendly concept, comfortable place, and affordable prices. Based on complaints, namely revenue in February to May 2024 is still fluctuating stable, suddenly in June to December 2024 and January 2025 there is a decline. To fix these problems, one of the methods used is the ServQual method as a measure of customer perceptions and expectations assisted by the GAP value if negative results will be made improvements, and QFD to translate needs with HOQ involving VOC. The results of ServQual and QFD obtained technical responses for improvement by conducting training for 1-2 months and involving experienced staff, using a digital queue number system to make orders more organized, routine checks and making a list of important facilities needed by customers, redesigning menu books with clear fonts, images, and detailed information, establishing a staff performance appraisal system and providing rewards for the best staff every month, making a list of all cafe equipment and checking at the beginning-end of work, and using a daily checklist so that cleaning is not missed.
Peramalan Permintaan Produksi Gempur 480sl 5 Liter Menggunakan Metode Moving Average Dan Exponential Smoothing Herlambang Adriano, Moh Kevin; Andesta, Deny; Salim Dahda, Said
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 4 (2025): 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.v4i4.1221

Abstract

Sektor pertanian memiliki peran penting dalam mendukung ketahanan pangan dan kesejahteraan masyarakat. Namun, permasalahan utama yang dihadapi adalah gangguan organisme pengganggu tumbuhan (OPT) seperti gulma, yang berdampak pada menurunnya hasil produksi. Salah satu solusi yang digunakan adalah herbisida, di antaranya produk Gempur 480SL (5 liter) yang diproduksi PT XYZ. Permintaan terhadap produk ini menunjukkan pola fluktuatif yang signifikan sepanjang tahun 2024, dengan total penjualan 137.115 box. Fluktuasi tersebut menimbulkan tantangan dalam perencanaan produksi dan distribusi karena berisiko menyebabkan overstock maupun stockout. Oleh karena itu, diperlukan metode peramalan yang tepat untuk membantu perusahaan dalam mengantisipasi kebutuhan permintaan di masa depan. Penelitian ini bertujuan menganalisis pola permintaan dan menentukan metode peramalan yang paling akurat. Data yang digunakan adalah data penjualan bulanan tahun 2024. Beberapa metode yang digunakan dalam peramalan antara lain Moving Average (periode 1 bulan dan 3 bulan), Single Exponential Smoothing dengan berbagai nilai α (0,1; 0,5; dan 0,9), serta Triple Exponential Smoothing (Holt-Winters). Evaluasi kinerja model dilakukan menggunakan Mean Absolute Deviation (MAD), Mean Squared Error (MSE), dan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa metode Triple Exponential Smoothing memberikan tingkat akurasi terbaik dengan nilai MAPE sebesar 14%, dibandingkan metode lainnya yang memiliki tingkat error lebih tinggi. Dengan demikian, metode ini direkomendasikan sebagai pendekatan yang lebih efektif bagi PT XYZ dalam memproyeksikan permintaan Gempur 480SL. Penelitian ini memberikan kontribusi penting dalam pengembangan ilmu peramalan agroindustri, khususnya dalam pemilihan metode forecasting yang tepat untuk mengatasi fluktuasi permintaan produk pestisida. Penelitian ini diharapkan dapat membantu PT XYZ dalam mengoptimalkan manajemen rantai pasok serta mengurangi risiko kelebihan atau kekurangan stok.
Analysis of Potential Damage to Hydrotester Machines Using FMEA and FTA Methods at PT. ISP to Improve Maintenance Reliability Wiranaka, Johan; Andesta, Deny; Dhartikasari, Efta
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8044

Abstract

PT. Indal Steel Pipe (ISP) is a steel pipe manufacturing company that relies on hydrotester machines as an essential tool to ensure product quality. The high production volume and intensive use of machinery have led to frequent failures, such as water hose leakage, rubber seal damage, and electrical system failure. These issues led to unplanned downtime of up to 3.09% of total operating time and 400 minutes of repairs in the last six months, which reduced productivity. This study aims to identify the hydrotester components with the highest risk of failure and establish maintenance priorities. The methods applied are Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). FMEA is used to calculate the Risk Priority Number (RPN) based on severity, frequency, and detection, while FTA helps to systematically trace the root cause of failure. The results showed that the broken pipe rubber had an RPN value of 245, followed by a leaky hydrolis with an RPN of 180, followed by a leaking water pipe hose with an RPN value of 168. Further FTA analysis identified material wear and excessive operational stress as the dominant causes of failure. These findings highlight that combining FMEA and FTA provides an effective approach in formulating maintenance strategies, thereby minimizing risk, reducing downtime, and ensuring production continuity. The novelty of this study lies in integrating FMEA and FTA to prioritize maintenance actions specifically for hydrotester machines, offering practical guidelines for industries with similar equipment.
Analysis of P670 Pump Machine Effectiveness through OEE and TPM Methods at PT. XYZ Nurfadi, Mohammad Ridho; Andesta, Deny
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.7992

Abstract

PT. XYZ is a cooking oil manufacturing company. The machine used in the processing is the P670 pump machine, which causes a decline in the CPO process, resulting in an increase in the defect rate. This study was conducted to evaluate machine performance and defect factors using the OEE and TPM methods. The OEE analysis showed a value of 84%, which is below the international standard of 85%, and identified Six Big Losses with the highest percentage being Idling & Minor Stoppages Losses at 43.80%. In addition, five factors were identified, namely man, method, machine, material, and environment. Based on these results, improvements were made, namely cleaning schedules, adding alarm control sensors, machine maintenance, and operator training. To ensure effective implementation, a special team of technicians and operators was formed to oversee the implementation of improvements, evaluate by comparing OEE values before and after, conduct training every 2 weeks or once a month, assign a work area coordinator, develop a structured maintenance schedule, and establish a routine cleaning duty roster. Companies must apply these results to reduce losses in terms of time, product defects, effectiveness, and machine performance.
Co-Authors Abdul Azis Alghushan Abdullah Sidik Abdulloh Faqih Achmad Firdaus Achmad Najibur Rochman Achmad Rizal Firmansyah Achmed Ersyad Luthfi Fahmi Agung Dharma Eka Ahmad Dzulfikar Fauzi Ahmad Husamuddin Ahmad Sukma Amrul Mukmin Ahmad Taqqiyuddin Akhmad Wasiur Rizqi Aldi Refi Magriza Alif Rachmad Hidayatullah Andi Rahmad Rahim Angga Prasetyo Tanto Ardiansyah Armawan Ardin Ardiansyah Ari Diharto Ari Septian Cahyadi Baad, Muhammad Fairuz Bagas Satria Wijaya Bagus Wahyu Prayoga Bimby Khrisdamara cholis majid Chusnul Khotimah Denni Aditama Eko Samsudin Dhartikasari, Efta Dhidu Usrin Yadani DHIMAS ADI PUTRA Dhimas Indra Saputra Dhimas Safaatur Rochman Dian Safitri Dwi Putri Fajar Dzakiyah Widiyaningrum Dzakiyah Widyaningrum Efta Dhartikasari Priyana Efta Dhartikasari Priyana Eko Budi Leksono Elly Ismiyah Faris Aulia Dwi Setyo Futurhesa, Dwi Anggraini Hanif Rahma Saputra Herlambang Adriano, Moh Kevin Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Hidayat Imroatul Fadlilah Iwa Pramudya iwan fauzi sutiono Kharis Dianto Khusnul Ma’arif Kurniawan Kurniawan M. Abdul Ghofur M. Afdholul Fikri Ma'arif, Muhammad Syafiqul Maulana Aldi Pratama Maulana, Putra Arif May Dian Susanto Maya Eka A Mirza Firdiansah Isnanta Moch Nuruddin Moch Nuruddin, Moch Moch Nurul Iqbal Al Farizi Moch. Nurul Iqbal Alfarizi Mochamad Henry Cipta Dinata Mochammad Anshori Mochammad Hasan Bisri Mochammad Nuruddin Moh. Dian Kurniawan Moh. Fikri Pratama Moh. Jufriyanto Moh. Jufriyanto Mohammad Fachrurrozi Adi Mohammad Fachrurrozi Adi Mohammad Ikhwan Nudin Mohammad Rizal Muchammad Dio Indranata Mughni Murtadlo Muhamat Rizal Abidin Muhammad Abdullah Najib Muhammad Afifuddin Muhammad Ainul Yaqin Muhammad chabibi aziz Muhammad Dhomiri Muhammad Farid Prasmana Muhammad Firman Afandi Muhammad Ighfir Romadhoni Muhammad Ikhlasul Amal Muhammad Indra Rizaldi Muhammad Isma'il Muhammad Maulidun Na’am Muhammad Rif'an Muhammad Rizky Surya Aistiawan Muhammad Syarif Hidayatullah Muhammad Zainuddin Fathoni Najiyatul Qonita Nasir, Macdevis Alala Nina Aini Mahbubah Norman Isawega Noviyatur R Nur Fauziyah Nurfadi, Mohammad Ridho Okta Mardatillah Oqni Huda Nur Qodzbari Pradana, Hafidz Lingga Allen Prayoga Rizky Hermawan Pregiwati Pusporini Putri, Dias Ratna Rahmat Nova Andi Priantoro Ramadhon, Mohammad Ahasanul Rifki Rizkina Arifin Rizaldi Syargawi Rizki Fajar Nugroho Said Salim Dahdah Salim Dahda, Said Salman Alfarisyi Salsabila, Cindy Aulia Sara Ramadona Sidah Sidah Siti Inayah Soffiana Agustin, Soffiana solikhin solikhin Sukaris Surya Putri kiara Santi Taufan A. Pradana Thezar Alfarozi thoyyibul hikam Tri Rahmawati Tsaqofi Bintang Muslimah Wiranaka, Johan Yanuar Pandu Negoro Zainal Abidin M. Bachmid