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All Journal TEKMAPRO Journal of Industrial Engineering and Management OPSI Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal INTECH Teknik Industri Universitas Serang Raya Bantenese Jurnal Pengabdian Masyarakat JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Informasi Sains dan Teknologi (ISAINTEK) Profisiensi : Jurnal Program Studi Teknik Industri Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) eProceedings of Engineering Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik: Jurnal Trinistik Impression : Jurnal Teknologi dan Informasi Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Ratih Windu Arini
Telkom University
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 Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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Scenario Analysis of Indonesian Ferronickel Supply Chain Resilience with System Dynamics Tul Munikhah, I Anna; Ramdhani, Ade Yanyan; Pratama, Aiza Yudha; Arini, Ratih Windu
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 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.24.2.129-140

Abstract

This study aims to determine the impact of Indonesian government policies on the supply chain resilience of the ferronickel industry in Indonesia. The existing problem is that the law prohibits nickel ore exports, and the policy of industrial downstream causes delays in the process of nickel processing. The problems happen because Indonesia's nickel industry is still incapable of downstream. As a result, the nickel supply chain faces dynamic and complex events that can disrupt operational activities. At the same time, supply chains need to withstand and recover from disruptions quickly. Therefore, Supply Chain Resilience, which is the ability to survive, adapt, and recover from disruptions to meet customer needs, is needed. This study uses system dynamics to analyze complex and dynamic systems to provide more practical policy advice. The system dynamics model starts by building a conceptual model through a system diagram. Inside the model is a causal loop diagram, then proceeds with developing a quantitative stock flow diagram (SFD) model. Finally, this SFD model operated with several scenarios used as policy suggestions for the Indonesian government.
A Causal Loop Diagram of Banyumas Tourism Projection with Transportation System Improvement Arini, Ratih Windu; Hidayatuloh, Syarif; Ikasari, Diniary; Herdianto, Bachtiar; Putra, Firmansyah Isrofil; Sari, Sarah Karenina
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 1 (2024): June 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.1.49-60

Abstract

Banyumas is one of the famous tourist destinations in Central Java with its natural attractions. Tourism growth in Banyumas requires capable and sustainable transportation infrastructure. However, current policies and investments in Banyumas are inappropriate for developing transportation and tourism infrastructure that creates non-significant impact. Therefore, the development of tourism projection should consider environmental, social, economics, and technology interrelated in developing transportation and tourism infrastructure issues. The tourism supply chain has a unique structure that is different from typical supply chains with high complexity because many stakeholders are involved. This research aims to project Banyumas tourism development with the impact of transportation system improvement. This conceptual model was developed from literature reviews and other necessary sources, and then validated by experts. The conceptual model examines the relationship between variables involved in the tourism supply chain and transportation system in Banyumas that can be developed into a quantitative model using Causal Loop Diagram, an initial stage of system dynamics. This model used to analyze the behavior of visitor projection of the Banyumas tourism supply chain system in Indonesia.
Edukasi Standarisasi Mutu melalui Penyuluhan CPPOB dan SOP di Mitra Paguyuban Dawet Ayu Banjarnegara Nurul Latifasari; Ratih Windu Arini; Yulian Zetta Maulana; Salimatul Qolbiyah; Hanun Khoirunisa
JURPIKAT Vol 7 No 1 (2026): 7.1 2026
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i1.2815

Abstract

The Banjarnegara Dawet Ayu Association, an icon of traditional regional beverages, still faces various obstacles in business development, such as limited knowledge regarding the implementation of food safety through Good Manufacturing Practices (GMP) and Standard Operating Procedures (SOPs). This community service activity aims to improve product quality and competitiveness through outreach on the implementation of Good Manufacturing Practices (GMP) and Standard Operating Procedures (SOPs). The methods used include delivering material on food safety, GMP, and SOPs, followed by assistance in preparing SOP documents, and evaluation through pre-tests and post-tests. The results of the activity showed a 27.9% increase in participant knowledge, from 57.3% to 85.2%, indicating that participants were able to absorb the information well. Significant improvements were seen in understanding aspects of food safety and the purpose of implementing SOPs, as well as the importance of GMP in maintaining product quality and safety. This success proves that strengthening partner capacity through education and direct practice can improve understanding and skills in production and business strategy. Thus, this dedication is expected to encourage the Banjarnegara Dawet Ayu Association to produce higher quality, safer, and more competitive products, as well as being able to develop marketing strategies systematically and sustainably.
Penentuan Strategi Peramalan Volume Barang Kiriman outgoing PT Pos Indonesia (Persero) KCU Purwokerto Cindy Dwi Novita Sari; Ratih Windu Arini; Cindy Malinda Uscha
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 3 (2025): November 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i3.1213

Abstract

Pengelolaan kiriman outgoing merupakan aspek penting dalam menjaga kelancaran proses distribusi di PT Pos Indonesia (Persero) KCU Purwokerto (POS KCU Purwokerto). Berdasarkan data internal, rata-rata keterlambatan (overtime) pengiriman mencapai 3.56% dari total volume kiriman dari September 2024 hingga September 2025. Oleh karena itu dibutuhkan sistem perencanaan berbasis analisis data melalui peramalan volume kiriman outgoing agar perusahaan dapat mengantisipasi lonjakan permintaan dan mengoptimalkan kapasitas armada serta tenaga kerja. Peramalan menggunakan pendekatan time series dengan metode Naïve, Moving Average, Single Exponential Smoothing, dan Autoregressive Integrated Moving Average (ARIMA). Hasil pengujian menunjukkan bahwa model ARIMA (2,1,1) merupakan model terbaik dengan tingkat kesalahan terkecil, yaitu Mean Absolute Deviation (MAD) sebesar 1867.87, Mean Squared Error (MSE) sebesar 7846634.40, dan Mean Absolute Percentage Error (MAPE) sebesar 7.001% dan sesuai dengan pola data permintaan historis. Hasil peramalan ini memberikan acuan yang akurat bagi manajemen dalam pengaturan kapasitas armada, penjadwalan distribusi, dan alokasi tenaga kerja sehingga dapat meminimalkan keterlambatan pengiriman akibat ketidakseimbangan antara kapasitas dan beban kerja serta meningkatkan efisiensi dan keberlanjutan operasional perusahaan di masa mendatang.   Outgoing shipment management is a crucial aspect in maintaining the smooth distribution process at POS Purwokerto Branch. Based on internal data, the average delay (overtime) in shipments reached 3.56% of the total shipment volume from September 2024 to September 2025. Therefore, a data analysis-based planning system is needed through forecasting the volume of outgoing shipments so that the company can anticipate spikes in demand and optimize fleet and workforce capacity. Forecasting uses a time series approach with the Naïve, Moving Average, Single Exponential Smoothing, and Autoregressive Integrated Moving Average (ARIMA) methods. The test results show that the ARIMA (2,1,1) model is the best model with the smallest error rate, namely a Mean Absolute Deviation (MAD) of 1867.87, a Mean Squared Error (MSE) of 7846634.40, and a Mean Absolute Percentage Error (MAPE) of 7.001% and is in accordance with historical demand data patterns. The forecast results provide an accurate reference for management in managing fleet capacity, distribution scheduling, and workforce allocation so as to minimize delivery delays due to imbalances between capacity and workload and increase the efficiency and sustainability of the company's operations in the future.  
Co-Authors Ade Yanyan Ramdhani Aiza Yudha Pratama Ajeng Dyah Kurniawati Annisa Utami Arif Amrulloh Asep Saepullah, Asep Aswan Munang Bachtiar Herdianto Bachtiar Herdianto Chusnul Maulidina Hidayat Cindy Dwi Novita Sari Cindy Malinda Uscha Hanun Khoirunisa Herdianto, Bachtiar I Anna Tul Munikhah Ikasari, Diniary Indra, Sarira Kania Putri Muliate Miftahol Arifin Muhamad Azrino Gustalika Muhammad Harist Refian Anwar Munikhah, I Anna Tul Nanih, Suhartini Noor Qisthani, Nabila Nurul Latifasari Pambudi, Muhammad Rizki Pane, Sayyid Yakan Khomsi Pasaribu, Yulia Rahman Putra, Firmansyah Isrofil Putri Dianti, Verra Rifda Naufalin Rossi Septy Wahyuni Safira Khanza Salimatul Qolbiyah Sari, Sarah Karenina Silvian, Yanuarius Syarif Hidayatuloh Tri Handoko, Danu Tri Nur Hilmawan, Rizky Tul Munikhah, I Anna Uscha, Cindy Malinda Usman, Muhammad Lulu Latif Uswatun Kasanah, Yulinda Utami, Annisaa Wahyu Andi Saputra Yulian Zetta Maulana Yulinda Uswatun Kasanah