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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Physics Student Journal Journal of ICT Research and Applications OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Sistem dan Manajemen Industri Jurnal SOLMA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JKIE (Journal Knowledge Industrial Engineering) Jurnal Optimalisasi Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Jurnal Teknik Sipil Terapan JENIUS: Jurnal Terapan Teknik Industri Indonesian Journal of Industrial Engineering & Management INVENTORY : Industrial Vocational E-Journal On Agroindustry Industrika : Jurnal Ilmiah Teknik Industri Jurnal Teknologi dan Manajemen Jurnal Kajian Ruang Proceeding Mercu Buana Conference on Industrial Engineering Journal Serambi Engineering (JSE) Jurnal Agroindustri Berkelanjutan
Fransisca Debora
Politeknik META Indusrtri Cikarang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Peningkatan Kapabilitas Peserta Didik Vokasi Melalui Teaching factory: Inisiasi Inkubator Bisnis Produk Unggulan Siswa SMK Ismawati, Iis; Mardaweni, Riri; Albany, Sophia Fadhila; Irmawanti, Irmawanti; Aryanti, Lisa Ayu; Debora, Fransisca; Ramadhanti, Lifia Citra; Kusumastuti, Diah
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20995

Abstract

Background: Teaching factory (TeFa) di SMK MedikaCom Bandung telah berhasil mengembangkan berbagai produk unggulan, namun menghadapi kendala serius dalam aspek pemasaran dan standardisasi produk yang menghambat potensi komersialisasi. Keterbatasan ini meliputi belum adanya Standar Operasional Prosedur (SOP) produksi, lemahnya identitas merek, dan minimnya pemanfaatan pemasaran digital. Program pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapabilitas siswa melalui serangkaian pelatihan yang komprehensif guna menginisiasi pembentukan inkubator bisnis. Metode: Metode pelaksanaan yang digunakan meliputi pendekatan partisipatif melalui sosialisasi, pelatihan, dan pendampingan intensif yang mencakup empat pilar utama: (1) penyusunan SOP dan alur proses produksi; (2) desain kemasan dan branding menggunakan Canva; (3) pembuatan konten promosi; serta (4) pengelolaan platform penjualan di marketplace. Hasil: Hasil kegiatan ini berhasil menghasilkan purwarupa desain produk, draf SOP, serta akun penjualan yang siap diaktifkan. Selain itu, kegiatan ini secara keseluruhan, 80% peserta sangat setuju dan 33,33% setuju, bahwa pelatihan ini memberikan manfaat besar bagi mereka dalam pengembangan kegiatan TeFa selanjutnya. Kesimpulan: Kegiatan ini berhasil menjawab persoalan prioritas yang dihadapi sekolah. Sebagai tindak lanjut, terbentuk inisiasi unit inkubator bisnis yang dikelola siswa untuk memastikan keberlanjutan program secara mandiri.
PKM Peningkatan Wawasan Industri Mahasiswa Melalui Kemahiran Bahasa Jerman Lapasau, Merry; Arliyanto, P Yudi Dwi; Debora, Fransisca; Raras, Marta Hayu
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 6 No 1 (2022): Volume 6 Nomor 1 Tahun 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v6i1.15705

Abstract

This community service (hereinafter, PkM) is the result of a collaboration between University Indraprasta PGRI Jakarta and Politeknik Meta Industri Cikarang which aims to increase the industrial insight of students and general participants through proficiency in German. This activity was held on December 17, 2020 through a media zoom meeting with a power point and smartboard interactive whiteboard (hereinafter, IWB) presentation for two hours, which was attended by around 100 participants. The material is divided into three parts, namely 1) Introduction to the industrial world in Germany, 2) German Industry in Indonesia, and 3) Introduction to German language and culture. At the end of the activity, participants write down suggestions and comments. In general, it can be concluded that this PkM activity increases the participants' insight and understanding of industry in Germany and German language which is useful for industrial engineering students and society in general.
Pengendalian Persediaan Bahan Baku Menggunakan Metode Min-Max Stock Pada Produk Keramik Lantai PT AB Damayanti, Atika; Debora, Fransisca; S, Ade Momon; Kabul, Putri Meiliawati
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/fjk00t36

Abstract

In production systems, optimal raw material inventory management is crucial in maintaining production continuity. Excess inventory will increase storage costs, while inventory shortages can cause production disruptions and lost sales opportunities. Therefore, in this study, the aim is to determine the control of raw material inventory in the manufacture of floor ceramics, namely Andesite by utilizing the min-max stock method, where later in the data processing, forecasting is carried out with time series methods such as Double Exponential Smoothing, Moving Average, Weight Moving Average, and Linier Regression. Based on the results of data processing, the forecasting model using Linear Regression was selected because it has the smallest Mean Square Error (MSE) value, then the calculation results are used to determine the amount of safety stock, minimum and maximum stock, reorder point to order frequency. The calculation results obtained inventory value produces a minimum stock value of 658,182 KG, and a maximum stock of 1,276,183 KG. The quantity in one order is 1,236,001 KG with an order frequency of 60 times. The research results obtained can be used as an inventory policy at PT AB in reducing stockouts on Andesite raw materials using the Min-max stock method. Keywords: Ceramic Floor Raw Materials, Inventory Control, Min-max stock Method
Peramalan Permintaan Karton Box dengan Pendekatan Moving Average dan Regresi Linear: Kasus PT PDPPM Juanda, Anam; Debora, Fransisca
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/f4mxe974

Abstract

Demand for carton boxes is a critical aspect of the industrial supply chain, particularly in ensuring the smooth flow of production and distribution processes at PT PDPPM. Inaccuracies in forecasting carton box demand have led to several issues, such as excess inventory or packaging material shortages, which disrupt operations and increase storage costs. This study aims to forecast the demand for cardboard boxes at PT PDPPM using two analytical approaches: Moving Average and Linear Regression. Moving Average is applied to identify demand patterns by smoothing fluctuations in historical data, while Linear Regression is used to analyze the relationship between independent variables that influence demand. The results of this study indicate that the Moving Average approach provides stable predictions and tends to be more suitable for data with seasonal patterns, whereas Linear Regression offers additional insights into the influence of external factors on demand. The evaluation was conducted quantitatively using statistical indicators such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE), where the Linear Regression method demonstrated the lowest error rate. The combination of these two methods is expected to provide a more accurate forecasting outlook, beneficial for production planning and inventory management at PT PDPPM. Keywords: Forecasting, Moving Average, Regresi Linear
Analisis kualitas produk ammonium nitrate dengan fishbone dan 5Whys di PT. X Mahendra Aditya Artamonova; Fransisca Debora; Rizky Wahyudin
JENIUS : Jurnal Terapan Teknik Industri Vol 7 No 1 (2026): JENIUS: Jurnal Terapan Teknik Industri
Publisher : LPPMPK - Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jenius.v7i1.1946

Abstract

Kualitas produk merupakan faktor penting dalam menjaga daya saing industri kimia, terutama pada perusahaan yang menghasilkan bahan berisiko tinggi seperti Ammonium Nitrate. Permasalahan utama yang terjadi di PT X adalah cacat produk berupa caking, yaitu kondisi ketika partikel saling menempel dan membentuk gumpalan padat sehingga menurunkan kualitas dan kemampuan alir produk. Penelitian ini bertujuan untuk menganalisis faktor penyebab terjadinya cacat caking serta memberikan usulan perbaikan agar mutu produk tetap terjaga. Metode yang digunakan adalah Fishbone Diagram dan 5 Whys untuk mengidentifikasi akar penyebab masalah dari lima faktor utama, yaitu manusia, mesin, metode, material, dan lingkungan. Berdasarkan hasil analisis, diketahui bahwa penyebab utama cacat berasal dari beban kerja operator yang tinggi, sistem kontrol mesin yang tidak dikalibrasi secara rutin, penerapan sistem FIFO yang belum optimal, variasi kualitas bahan baku, serta tidak adanya pengatur suhu saat distribusi. Usulan perbaikan yang direkomendasikan meliputi pelatihan operator, penerapan program Total Productive Maintenance (TPM), audit vendor secara berkala, serta pemasangan sensor suhu pada kendaraan distribusi. Penerapan perbaikan ini diharapkan dapat menurunkan tingkat cacat caking, meningkatkan efisiensi proses produksi, serta menjaga konsistensi kualitas Ammonium Nitrate di PT X.
A Systematic Review of the Simplex Method in Profit-Oriented Optimization for Manufacturing Industries Pasaribu, Enita; Hernadewita, Hernadewita; Debora, Fransisca; Attaqwa, Yusita
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.35105

Abstract

Companies involved in production activities consistently strive to achieve their strategic objectives, with profit maximization being one of the primary goals for maintaining competitiveness and ensuring long-term business sustainability. This goal can be pursued through optimal production planning, one of which involves the application of the Simplex Method (SM). The Simplex Method is a mathematical algorithm designed to solve Linear Programming (LP) problems, which focus on optimizing a linear objective function while accounting for various resource-related constraints. This paper presents a systematic literature review on the implementation of the Simplex Method for profit optimization in the manufacturing sector. A total of 30 relevant research articles published between 2019 and 2024 were analyzed, sourced from reputable academic databases such as Google Scholar and ScienceDirect. The findings demonstrate that the Simplex Method offers substantial benefits, including improved resource allocation, cost reduction, enhanced decision-making capabilities, increased productivity, and support for data-driven operational efficiency. These advantages underscore the method’s effectiveness as a quantitative decision-support tool in strategic industrial planning. The review also highlights the broad applicability of the Simplex Method across various countries and industrial sectors, particularly in food, automotive, chemical, and textile manufacturing. As the manufacturing landscape transitions into the era of Industry 4.0, it is strongly recommended that future research explores the integration of the Simplex Method with emerging technologies such as Big Data analytics, Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and Hybrid Optimization Models to further enhance industrial competitiveness, adaptability, and sustainability. 
Peningkatan pengetahuan home-industry Opak Pajaten dalam penggunaan eco-friendly packaging “Honeycomb Paperwrap” dalam penerapan green-economy Rahma, Rana Ardila; Debora, Fransisca; Rahmani, Hani Fitria
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 1 (2024): March
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i1.19567

Abstract

Abstrak                                                                                 Keberadaan limbah yang berasal dari kemasan plastik ternyata dapat memberikan dampak negatif lingkungan, kesehatan manusia, dan keberlanjutan bumi. Dalam konteks penggunaannya, plastik digunakan sebagai salah satu opsi utama kemasan bagi produk pada unit usaha industri rumah tangga (home industry). Home industry Opak Pajaten menggunakan kemasan plastik pada produknya. Hal ini dikarenakan rendahnya pengetahuan mitra akan pengaruh kemasan plastik, dan jenis produk kemasan ramah lingkungan (eco-friendly packaging) yang dapat digunakan sebagai kemasan Opak. Universitas Singaperbangsa Karawang (Unsika), dan Universitas Pasim Bandung melalui Hibah Prioritas Unsika (HIPKA) Bidang Penelitian dan Pengabdian kepada Masyarakat (PkM) tahun 2023 melakukan PkM pada home industry Opak Pajaten untuk meningkatkan pengetahuan mitra terkait salah satu jenis eco-friendly packaging yaitu Honeycomb Paperwarp. Honeycomb Paperwrap dibuat dari bahan daur ulang dengan keunggulan ringan sehingga sangat cocok digunakan sebagai kemasan pada produk unit usaha. Kegiatan PkM dilakukan dengan memperkenalkan produk Honeycomb Paperwrap sebagai rekomendasi kemasan yang sesuai dengan kebutuhan dan harapan konsumen, dapat meningkatkan tampilan produk, serta tetap memberikan pengaruh pada kelestarian lingkungan.  Kata kunci: industri rumah tangga; honeycomb paperwrap; kemasan ramah lingkungan AbstractWaste originating from plastic packaging negatively impacts the environment, human health, and the earth's sustainability. In its context, plastic is one of the leading packaging options for products in home industry business units. Opak Pajaten's home industry uses plastic packaging for its products. This is due to the partners' low knowledge of the influence of plastic packaging and the types of environmentally friendly packaging products that can be used as Opak packaging. Universitas Singaperbangsa Karawang (Unsika) and Universitas Pasim Bandung, through the Hibah Prioritas Unsika (HIPKA) Bidang Penelitian dan Pengabdian kepada Masyarakat (PkM) tahun 2023  in 2023, conducted PkM at the Opak Pajaten home industry to increase partners' knowledge regarding one type of eco-friendly packaging, namely Honeycomb Paperwarp. Honeycomb Paperwrap is made from recycled materials with the advantage of being light, so it is very suitable for packaging business unit products. PkM activities are carried out by introducing the Honeycomb Paperwrap product as a recommendation for packaging that suits consumer needs and expectations, can improve the product's appearance, and still impact environmental sustainability. Keywords: home industry; honeycomb paperwrap; eco-friendly packaging
Quality Control Analysis of Side Member Assy RR Floor Product Using the Statistical Quality Control Method at PT XYZ Sulaeman, Benyamine; Fransisca Debora; Dewi Ayu Lestari; Marizka Putri Ismawaty; Dian Andini
Jurnal Serambi Engineering Vol. 11 No. 2 (2026): April 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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

Abstract

Quality control is a critical aspect of the manufacturing industry to ensure that every product meets the specified requirements. PT XYZ, as an automotive component manufacturer, faces the problem of a high number of defective products in the Side Member Assy RR Floor component. This study aims to analyze the quality control process using the Statistical Quality Control (SQC) method with the Seven Tools approach. The research methods include data collection through observation and documentation, followed by analysis using tools such as control charts, checksheets, histograms, Pareto diagrams, scatter diagrams, fishbone diagrams, and flowcharts. The results show that the dominant type of defect is spatter, accounting for 83.7% of total defects. Control chart analysis indicates that the process is not fully under control, as evidenced by data points falling outside the control limits. Fishbone analysis reveals that the main causes of defects originate from non-standardized work methods and insufficient operator skills. As a concrete improvement measure, Standard Operating Procedure (SOP) documents and Visual Inspection Checklist forms were developed. This study provides a tangible contribution by assisting the company in improving product quality and systematically reducing defect rates.
Co-Authors Agung Tri Tjiptadi AGUS WIDODO Aisyah , Siti Albany, Sophia Fadhila Amelia, Siti Amhar, Usamah Ananta, Jenny Risca Anjani, Jenni Anugrafi, Reza Ardila Rahma, Rana Arief Ramadhan Ariyanti, Maulia Bunga Arliyanto, P Yudi Dwi Arridho, Ilham Ali Arya , Rizki Aryanti, Lisa Ayu Atika Damayanti Attaqwa, Yusita Ayya Sophia Ahmad Choesnul Jaqin Dewi Ayu Lestari Diah Kusumastuti, Diah Dian Andini Edriawati, Natasya Aksani Eka Oktariyanto Nugroho Elfaladonna, Febie Ervan Budi Santoso Fadli, Fahri Fasa, Nadia Fatma Nurkhaerani Fatma Nurkhaerani Fibra Nurainy Fidriyanto, Rizky Galih Supriadi Galih Supriadi Gina Lova Sari Gultom, Louisa Paulina Febriana Haifa, Ayu Izzatin Hamdani Aris Sudrajat Hani Fitria Rahmani Hendra Adiyatna Hermanto Rudy, Lim Hernadewita Humiras Hardi Purba Huwae, Priskila Timaha Irmawanti, Irmawanti Ismawati, Iis Isniah, Sarah Juanda, Anam Kabul, Putri Meiliawati Khoerunnisa, Ahshonat Kustiawan, Nazwa Meilia Mahendra Aditya Artamonova Mardaweni, Riri Marizka Putri Ismawaty Mary Agung Prasetyo Merry Lapasau Nisah, Firda Ainun Nugraha, Luthfi Aditya Nurazizah, Aidina Nurkhaerani, Fatma Nursamsu, Dimas Ranggamulya Pasaribu, Enita Pradoto, Rani G. K. Prasetiyo, Joko Pupung, Muhammad Rahma, Rana Ardila Ramadhanti, Lifia Citra Rivandi, Merdieco Rizki Arya Rizki Arya Rizky Wahyudin Rizqina Rosma Rozi , Sayyid Fahru Santo Wijaya Sari, Marta Hayu Raras Sita Rukmika Sari, Nita Winda Sayyid Fahru Rozi Setiawan, Aan Eko Setiawan, Indra Shandra, Olivia Ferisca Siti Aisyah Slamet Hariyadi Sugiharto, Muhammad Suheri Suheri Sulaeman, Benyamine Supriyati Supriyati Sussi Astuti Syakira, Hana Syarif Maulidin Tisa Amalia, Tisa Tosty Maylangi Sitorus, Tosty Maylangi Tri Tjiptadi, Agung Umi Nuraini, Umi Wahyudin Wahyudin Wibowo, Rifky Budiarto Yuliani, Endah Tri Yulio Agefa Purmala Yushardian, Hamdi Akmal Yusuf, Rifqi Akmal Zalfa Dziaul Hassalum