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All Journal Jurnal Teknik Industri CAUCHY: Jurnal Matematika Murni dan Aplikasi Industrial and Systems Engineering Assessment Journal (INASEA) Jurnal Optimasi Sistem Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Ilmiah Teknik Industri Indonesian Journal of Computing, Engineering, and Design SEMAR Jurnal Pengabdian Masyarakat Indonesia Prosiding Konferensi Nasional PKM-CSR Makara Journal of Technology Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
CUCUK NUR ROSYIDI
Departemen Teknik Industri, Fakultas Teknik, Universitas Sebelas Maret
Arts Humanities 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 Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Supplier Selection and Order Allocation in A Pharmaceutical Wholesaler Hikmah Fadilla, Ryan; Rosyidi, Cucuk Nur; Jauhari, Wakhid Ahmad
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.137-150

Abstract

Supplier selection is essential for any organization , as it plays a significant role in enhancing productivity. This study focuses on a local pharmaceutical wholesaler (PW) company, which places orders with other local PWs to meet its demand. Typically, pharmaceutical companies rely on multiple suppliers to satisfy their needs. However, due to an inadequate evaluation of supplier criteria, a Multi-Criteria Decision Making (MCDM) approach has been implemented to assist the PW in selecting superior suppliers and ensuring an efficient selection process. A key issue in this case study is the lack of a structured method for assessing supplier criteria, resulting in a subjective and lengthy selection process. The criteria for supplier selection encompass quality, flexibility, price, delivery, service, and supplier profile. Furthermore, alongside supplier selection, optimizing order allocation is essential for reducing purchasing costs while maximizing supplier scores. This research proposes a model designed to aid PW in addressing both supplier selection and order allocation challenges. The MCDM framework commences with the Best Worst Method (BWM) to establish the weight of each criterion. These weights then serve as input for the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which ranks and prioritizes suppliers based on their evaluation scores. Subsequently, the results from TOPSIS inform the determination of optimal order allocation through a Multi-Objective Optimization (MOO) method. As part of the system modeling, a sensitivity analysis was performed to explore the effects of specific parameters on the objective function and decision variables, assessing variations in inventory costs, shortage costs, and demand. The findings indicated that only the demand parameter had a significant effect on decision variables, particularly regarding inventory levels and shortages. This research offers a comprehensive solution for the PW to tackle supplier selection and optimal order allocation. By employing MCDM and multi-objective optimization strategies, the company can achieve lower purchasing costs while selecting optimal suppliers based on their evaluation scores. The optimization model presented has dual objective functions: minimizing costs and maximizing total supplier value. Consequently, the model achieved a total purchasing cost of Rp. 340,196,740 and a total supplier value of 5,265,032.
The Development of Order Quantity Optimization Model for Growing Item Considering the Imperfect Quality and Incremental Discount in Three Echelon Supply Chain Sitanggang, Indah Valentinova; Rosyidi, Cucuk Nur; Aisyati, Azizah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.101-110

Abstract

This research develops an optimization model for determining the order quantity for growing items by considering the imperfect quality and incremental discount by involving three supply chain members: farmers, processors, and retailers. The farmers are responsible for caring for the newborn items until they reach their ready-to-eat weight. The processors perform two roles, namely processing and screening. In the processing role, the processors process the grown items by a slaughtering and packaging process. Afterward, they inspected the processed items and categorized the items into good and poor quality. Finally, they shipped the end products to retailers. The retailers are responsible for selling good-quality items to the final consumers.  This research considers two kinds of poor quality. First is the poor quality of growing items in terms of mortality rate. The second is the poor quality of final products on the processor side. The processed items with poor quality are then sold to the secondary market at lower prices in one batch at the end of the period. This model also considers the incremental discounts offered by vendors to farmers and retailers to consumers for specific amounts of purchases. The model's objective function is to maximize the total supply chain profit, with the number of orders quantity, cycle time, and the number of batches delivery set as the decision variables. The sensitivity analysis results show that the most sensitive parameter in the model is the probability that the live items survive throughout the growth period.
A Goal Programming Model for Joint Decision Making of Order Allocation, Supplier Selection, and Carrier Selection Considering Corporate Social Responsibility Rosyidi, Cucuk Nur; Khasanah, Alfia Makrifatul; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 1 (2022): June 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.1.45-52

Abstract

Every company aims to maximize its profit to survive and maintain business growth. However, it has to allocate some of the profit to the community development in the form of corporate social responsibility. Along with the importance of the development of Corporate Social Responsibility (CSR), many companies consider the social effects of their supply chain activities. In this paper, we address a problem determining the optimal order allocation, carrier selection, and the amount of CSR in a single product, multi-suppliers, and multiple periods environment. A goal programming model was developed to solve the problem by considering all-unit quantity discounts, the lateness of deliveries, and rejections. LINGO 18.0 was used to solve the model. The results of optimization show that all the goals are achieved. Based on the sensitivity analysis results, the proposed model is relatively insensitive to the goals of the profit and social value unless at the increases of 24% of both goals. For the goals of defect items and late delivery items, both goals affect the objective function when each goal is decreased. Hence, the decision-maker has to be careful in setting the goals.
A Multi-Objective Optimization Model for Home Health Care Routing and Scheduling with a Case Study Rosyidi, Cucuk Nur; Ramadandhyna, Annisa Puja; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.131-140

Abstract

Home health care (HHC) is a health service provided by a hospital so that patients can be taken care of at their homes. Assigning multiple caregivers to serve patients during working hours is one of the main issues in HHC planning. In this study, multi-objective mixed-integer nonlinear programming was formulated for HHC daily planning. The model aims to simultaneously minimize total service time, total traveled distance, total cost comprising the opportunity loss from unvisited patients and penalty cost due to the violation of gender preference, and total carbon emissions generated by the caregiver’s vehicle. Using real data from Dr. Moewardi Hospital, a case study was provided in order to show the applicability of the model. The model can be utilized to assist the HHC coordinator in determining the optimal schedule and routing of HHC visits.
Perbaikan Tata Letak Fasilitas Produksi Incoming Material Menggunakan Systematic Layout Planning di PT. Pan Brothers Tbk Boyolali Fuji Tori Kebela; Bambang Suhardi; Cucuk Nur Rosyidi; Iksan Adiasa
Performa: Media Ilmiah Teknik Industri Vol 19, No 1 (2020): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.19.1.40093

Abstract

PT. Pan Brothers Tbk Boyolali merupakan perusahaan tekstil yang memproduksi berbagai macam pakaian olahraga. PT. Pan Brothers Tbk Boyolali memiliki beberapa permasalahan yang berkaitan dengan tata letak seperti ketiga jarak perpindahan terbesar yaitu perpindahan dari area warehouse table ke area before inspection sebesar 51,8 meter, perpindahan dari area rak roll kain ke area mesin c-tex sebesar 35 meter, dan perpindahan dari area before inspection ke area quality fabric table sebesar 34,8 meter. Semakin jauh jarak perpindahan barang semakin tinggi pula biaya material handling. Alasan lain perbaikan tata letak perlu dilakukan adalah seringnya dilakukan perubahan layout yang disebabkan oleh project dari atasan dan belumnya menggunakan metode apapun. Terjadinya penumpukan material roll kain yang disebabkan penempatan material ditaruh di gang yang membuat terhalangnya jalan perpindahan barang. Total waktu aktivitas produksi di incoming material melebihi waktu yang ditetapkan perusahaan yaitu 5 sampai 6 hari. Teknik pengumpulan data dalam penelitian ini yaitu dengan melakukan observasi secara langsung dan wawancara kepada pekerja. Dengan metode Systematic Layout Planning (SLP), dapat dihasilkan lebih dari satu alternatif solusi sehingga dapat dipilih mana yang terbaikan dalam penyelesaian masalah tata letak perusahaan, meminimumkan aliran material dan mempertimbangkan hubungan kedekatan, kebutuhan ruang dan ruang yang tersedia serta merupakan metode yang sederhana dan lebih mudah untuk diterapkan. Temuan hasil penelitian menunjukkan bahwa tata letak usulan 1 mampu memberikan penghematan biaya material handling sebesar 16,6 % atau Rp. 1.038,357 tata letak usulan 2 sebesar 22,2 % atau Rp. 1.387,150 dan tata letak usulan 3 sebesar 28,2 % atau Rp. 1.759,802
Analisis Alternatif Solusi Proyek TI Dengan Analytical Network Process & Best Worst Method Muhammad Faizal; Yusuf Priyandari; Cucuk Nur Rosyidi
Performa: Media Ilmiah Teknik Industri Vol 21, No 2 (2022): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.21.2.59846

Abstract

Teknologi Informasi saat ini mempunyai peranan penting dalam organisasi. Salah satunya agar manajemen organisasi menjadi lebih efektif dan efisien dalam pengambilan keputusan. Dalam pengembangannya terdapat proyek-proyek teknologi informasi yang sukses dan juga proyek teknologi informasi yang mengalami kegagalan. Kegagalan dalam mengelola proyek teknologi informasi ini juga dialami oleh CV. Kadang Koding. Tujuan dari penelitian ini adalah mengidentifikasi penyebab kegagalan proyek teknologi informasi serta menentukan alternatif solusi terbaik yang dapat diterapkan segera oleh perusahaan. Hasil dari penelitian ini terpilih 5 sub kriteria yang memenuhi ambang batas(threshold) dalam penyebab kegagalan proyek TI. Threshold ditentukan peneliti dengan mengambil nilai Q3 (Quartile 3) sebagai nilai batas yaitu 0,121753. Metode Analytical Network Process digunakan untuk pemilihan sub kriteria paling berpengaruh. Sub kriteria paling berpengaruh dalam kegagalan proyek TI adalah E23 (perbedaan teknologi yang digunakan) dengan nilai prioritas akhir sebesar 0,169023. Pengolahan data alternatif solusi menggunakan Best Worst Method. Hasil pengolahan data tersebut didapatkan alternatif solusi terbaik yang diterapkan oleh perusahaan. Alternatif solusi terbaik adalah alternatif solusi 1 (Persyaratan dan ruang lingkup harus didefinisikan dengan jelas oleh manajer proyek sebelum meluncurkan proyek) dengan nilai prioritas akhir sebesar 0,950755.
Penerapan Sistem Kontrol Kualitas dengan Mengunakan Model CNN Transfer Learning VGG 19 pada Inspeksi Kain di Industri Tekstil Nauval Hernandoko; Pringgo Widyo Laksono; Cucuk Nur Rosyidi
Performa: Media Ilmiah Teknik Industri Vol 23, No 2 (2024): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.23.2.86589

Abstract

Industri tekstil dan produk tekstil (TPT) merupakan salah satu industri tertua di Indonesia. Tujuan industri ini dibangun awalnya yaitu untuk memenuhi kebutuhan dalam negeri dan ekspor. Kualitas produk dan produktivitas merupakan menjadi kunci keberhasilan sistem produksi dalam dunia industri. Hasil produk atau jasa yang memiliki kualitas tinggi menjadi faktor utama agar industri tersebut dapat bersaing dalam bisnis serta prospek jangka panjang. Adanya kontrol kualitas secara otomatis akan membantu dalam pekerjaan bagian inspeksi karena dalam industri tekstil proses inspeksi dilakukan tanpa teknik sampling sehingga kualitas inspeksi yang dilakukan manusia akan menurun seiring waktu inspeksi yang semakin banyak. Hasil dari penelitian ini yaitu model CNN VGG19 dapat dijadikan sebagai model untuk otomatisasi proses inspeksi yang dilakukan di industri tekstil karena akurasi testing yang mencapai 88% serta tidak terjadinya overffiting dalam proses training validation.
Pelatihan Pengenalan Dasar Produk Berbasis Kecerdasan Buatan untuk Membekali Siswa Sekolah Menegah Atas Solo Raya Menyosong Era Revolusi Industri 5.0 Pringgo Widyo Laksono; Cucuk Nur Rosyidi; Retno Wulan Damayanti; Wakhid Ahmad Jauhari; Eko Pujiyanto; Andreas Wegiq Adia Hendix; Era Febriana Aqidawati
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 2 (2025): November
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i2.94863

Abstract

Revolusi Industri 5.0 membawa dampak yang signifikan bagi masyarakat dalam berbagai aspek kehidupan, termasuk ekonomi, sosial, budaya, dan lingkungan. Meskipun demikian, pendidikan di Indonesia masih belum siap untuk beradaptasi dengan teknologi kunci dari revolusi ini, seperti kecerdasan buatan, energi terbarukan, dan keberlanjutan. Salah satu hambatannya adalah kurangnya fasilitas dan materi yang memadahi dalam pembelajaran. Oleh karena itu, sebuah pengabdian dilakukan untuk membantu sekolah- sekolah di sekitar UNS, khususnya SMA dan SMK di Solo Raya, dalam memulai pembelajaran berorientasi Revolusi Industri 5.0. Kegiatan pengabdian meliputi workshop, sosialisasi, pelatihan singkat, dan pemberian paket trainer. SMANRA dipilih sebagai sekolah pertama yang akan menerima pengabdian ini. Permasalahan yang dihadapi oleh SMANRA adalah kurangnya fasilitas yang memadahi dan sumber daya manusia yang belum menguasai dasar-dasar kecerdasan buatan dan internet of things. Solusi yang ditawarkan meliputi workshop dan sosialisasi tentang Revolusi Industri 5.0, serta pemberian paket trainer yang berisi perangkat keras, perangkat lunak, buku, dan materi pembelajaran terkait. Metode pelaksanaan kegiatan tersebut meliputi identifikasi kebutuhan, perencanaan kegiatan, pelaksanaan workshop dan sosialisasi, pemberian paket trainer, dan pendampingan teknis.Kata kunci : revolusi  industri 5.0, kecerdasan buatan, internet of things, inovasi, pembelajaran. 
Co-Authors Akbar, Reza Rizkichani Andi Setyawan Andreas Wegiq Adia Hendix Ani Fatmawati Anindya Rachma Dwicahyani Aqshal Raffa Sandito Ariawan Budiaji Ashylla Maharani Azizah Aisyati Azizah Aisyati Bambang Suhardi Bin Yusoff, Ahmad Razlan D. A. Mardhikawarih Dewi Marlina Dwicahyani, Anindya Rachma Eko Pujiyanto Eko Pujiyanto Eko Pujiyanto Eko Pujiyanto Enty Nur Hayati Era Febriana Aqidawati Erina Annastya Octaviani Fatmawati, Ani Fawzi Zamria, Mohd Ferdinanda Pascha Hasian Fitria Ramadhani Fitriana Indah Fuji Tori Kebela Hikmah Fadilla, Ryan Hutomo, Ricky Iksan Adiasa Ilham Priadythama Ilham Priadythama Irwan Irwan Kartikawati - Khasanah, Alfia Makrifatul Lobes Herdiman Muhammad Faizal Muhammad Hafidz Fazli Bin Md Fauadi Muhammad Hamka Ibrahim Murman Budijanto Nariswari, Nanda Lokita Nelita Putri Sejati Nina Salsabila Sulistiani Nor Sufyan Sudin, Mohd Pringgo Widyo Laksono Pringgo Widyo Laksono Pringgo Widyo Laksono Pujiyanto, Eko Rahmaniyah Dwi Astuti Ramadandhyna, Annisa Puja Retno Wulan Damayanti Retno Wulan Damayanti Reza Rizkichani Akbar Safira Nariswari Sejati, Nelita Putri Shabrina Chairunnisaa Novia Ramadhany Sitanggang, Indah Valentinova Sulistiani, Nina Salsabila Urip Sarwo Sambodo Wakhid Ahmad Jauhari Winarno Winarno Yoshan Ardhi Pratama Yuniaristanto Yuniaristanto Yusuf Priyandari Yusuf Priyandari