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All Journal BERKALA SAINSTEK JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Infotech Journal Jurnal Ilmiah Manajemen dan Bisnis (JIMB) IKRA-ITH Informatika : Jurnal Komputer dan Informatika IKRA-ITH EKONOMIKA Jurnal Logistik Indonesia Majalah Ilmiah Bijak Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Journal of Social Responsibility Projects by Higher Education Forum International Journal of Research in Vocational Studies (IJRVOCAS) JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Proceeding Mercu Buana Conference on Industrial Engineering
Iskandar, Yelita Anggiane
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Inventory Management with Demand Forecast for Eyeglass Lenses Using The Time Series Method at An Optical Store Adriel Silaen, Thobias; Iskandar, Yelita Anggiane
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v2i2.65

Abstract

In the healthcare sector, supply chain management is one of the most important elements since in the logistics of medical devices and pharmaceutical products, patient satisfaction is the main focus in efforts to improve service quality. One of the problems that often occurs in the optical supply chain is inventory control. The optical store is one of the microenterprises engaged in optometric health services. The enclosed supply chain is a three-echelon model, where the store is at the second level. The process of ordering lenses at the store from suppliers is not carried out based on predicted demand. The determination of the safety stock amount and the reorder point also still has a fairly low accuracy there. This is indicated by overstock and stock-out situations that still occur frequently in this company. Overstock causes the product to be damaged because it has been stored for too long and stock out causes lost sales. To solve the problem in this research, the prediction of future demand is overcome by using several time series methods, such as cyclical models, cyclical trend models, and ARIMA models. Forecasting result validation is implemented by calculating the calculation of errors using MAPE, MAD, and MSE then it was found that the forecasting model chosen to predict the demand for the lenses is a cyclical trend model. The result of the demand forecasting and safety stock size calculation with 3 service levels are used as input to determine the reorder point. After observing the condition of the company and the targets set by the company, the calculation results with a service level of 90% is the most possible to be implemented.
Enhancing Storage Efficiency with Class-Based Storage Design: A Lubricant Drum Warehouse Study at PT Patra Logistik Iskandar, Yelita Anggiane; Alkatiri, Non Firdiyanti
Jurnal Logistik Indonesia Vol. 9 No. 1: April 2025
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v9i1.4868

Abstract

Efficient storage is a critical aspect of warehouse management, particularly in industries constrained by limited space, such as lubricant drum storage. PT Patra Logistik, a third-party logistics (3PL) provider for PT Pertamina Lubricants, has faced inefficiencies in its warehouse operations due to an unstructured storage system. The current use of a random storage method has led to increased travel distances for goods movement, difficulty in locating products, and overall layout disorganization. This study aims to redesign the warehouse layout using the Class-Based Storage (CBS) method to minimize the travel distance involved in the picking and storing of goods. The research employed field observations, interviews, and analysis of historical goods movement data from the April-June 2024 period. ABC Analysis was utilized to classify products based on the frequency of inbound and outbound movements. These classifications served as the foundation for developing a more efficient warehouse layout. The results indicate that implementing the CBS method significantly reduced the total travel distance from 164,625 meters to 78,609 meters, a reduction of 86,015 meters. This improvement enhanced operational efficiency by decreasing retrieval time, increasing labor productivity, and optimizing storage space utilization. Furthermore, validation of the new layout design revealed strong support from respondents, with the majority agreeing or strongly agreeing with the proposed system.
Association Rules Mining for Designing Product Bundling Strategy (Study Case at a Cafe in Jakarta) Jannah, Milqi Miftahul; Iskandar, Yelita Anggiane; Zulvia, Ferani Eva
Jurnal Logistik Indonesia Vol. 7 No. 2: Oktober 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i2.3466

Abstract

Cafe X is a modern and prominent coffee shop in town that sells specialty beverage products with a total of 73 variations. Sales transactions that occurred in March 2021 at that Cafe reached an average of 300 times per day. All this time, the transaction data is only used to calculate inventory replenishment and to observe sales profits whereas it can actually be utilized to reveal information related to customer behavior in buying products by finding the association or pattern between product sales. The purpose of this study is to obtain association models between items that can be used as a base to arrange recommendations for selling beverage products at Cafe X using a data mining method, namely the association rules with the Apriori algorithm. The transaction data specified for data processing are payment transactions of a total of 3,100 data records. From the analysis results, it is known that there are 8 product association rules that meet the minimum support of 0.01 and the minimum confidence of 0.5, which means that these rules can be used as an alternative basis for determining business strategy at Cafe X. Based on the association information between products, the customer relationship management (CRM) strategy that can be applied at Cafe X is the promotion strategy of product bundling. From a number of recommended bundled products, it is found that there are opportunities to increase sales for four products, they are MD001, TH002, LB001, and TU001.
Upaya Peningkatan Pemasaran Digital melalui Pendampingan Pengelolaan Website di Desa Wisata Vikaliana, Resista; Irawan, Ade; Iskandar, Yelita Anggiane
Journal of Social Responsibility Projects by Higher Education Forum Vol 5 No 2 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v5i2.6365

Abstract

Assistance in managing the Alamendah Tourism Village website in Bandung Regency is carried out to overcome challenges in tourism promotion which still relies on conventional methods. With the development of digital technology, effective website management has become an urgent need to increase the competitiveness of tourist destinations. This program is designed to provide technical skills to village communities in managing websites as an effective promotional tool. Assistance is provided through a combination of online and offline methods, including storytelling training, SEO optimization, content maintenance, and integration with social media. This activity succeeded in increasing participants' understanding of digital technology and providing direct benefits in optimizing the potential of village websites. The evaluation showed very positive results, with participants finding the activity relevant, useful and satisfying. However, several website elements such as the navigation bar, responsive design, and accessibility still need to be improved. Suggestions are given to continue ongoing assistance, improve website features, and carry out regular evaluations to ensure program sustainability. With this approach, the Alamendah Tourism Village is expected to be able to increase its attractiveness and visibility as a leading ecotourism destination, as well as encourage community independence in managing digital marketing.
PENINGKATAN KOMPETENSI TEKNIK OPTIMASI LANJUT MELALUI WEBINAR INTERNASIONAL Iskandar, Yelita Anggiane; Anak Agung Ngurah Perwira
Jurnal Abdi Insani Vol 11 No 2 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i2.1583

Abstract

Optimization techniques are one of the important materials that need to be understood well by Industrial Engineering students at all levels. One form of development of optimization techniques is manifested in scheduling machines on the production floor in the real industrial world, which of course requires more advanced methods than those generally studied in class. Student literacy regarding advanced optimization techniques needs to continue to be sharpened, especially at the master's level. This community service (PkM) activity aims to share knowledge with master students majoring in Industrial Engineering at Mapua University, Philippines regarding advanced optimization engineering material by highlighting real case studies. The method applied in this activity is in the form of a lecture via web seminar (webinar) via Zoom, followed by discussion and questions and answers. At the end of the session, participants were asked to provide feedback regarding the continuity of the seminar, which would then be analyzed and used as material for future improvements. The dissemination of material related to intelligent production scheduling in an all-digital industrial environment took place smoothly, demonstrated through active participation and interactive questions and answers. In the satisfaction survey, some information was obtained regarding the suitability of the theme to the participants' needs regarding the lectures taken, the accuracy of seminar time management, the mastery of the presenter in the discussion presented, and the suitability of the material to the participants' needs. From the analysis carried out, it was discovered that the theme raised was following the needs of the participants, and the timing of the seminar was also appropriate. Apart from that, it is also known that there has been an increase in webinar participants' knowledge regarding the topics raised. Professional development seminars have shown a positive impact on the development of participant's abilities and knowledge, especially those related to exposure to scheduling and production optimization.
Feasibility Analysis of Using Electronic Vehicles at Grab Indonesia with the IRR Method Furqan, Muhammad Alif; Sahbandar, Aulia Idharizqi Widayani; Barandika, Barandika; Rumalutur, Yizri Ievana Febrianty; Abid, Rasyid; Sutisna, Fazar; Iskandar, Yelita Anggiane; Vikaliana, Resista
Proceeding Mercu Buana Conference on Industrial Engineering Vol 5 (2023): LEAN AND GREEN FOR SUSTAINABILITY DEVELOPMENT GOALS IN THE I4.0 ERA
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2023.008

Abstract

Indonesia is a country with the fourth largest population in the world, reaching 275.77 million people in 2022. This has caused the need for transportation to increase, thereby creating new business opportunities for public transportation companies, including online motorcycle taxi companies such as Grab which provide service gates - to-door and order food delivery. However, the increase in transportation needs also causes an increase in fuel consumption, one of the factors causing air pollution. This study aims to calculate and determine the feasibility of using electric vehicles by Grab drivers to transport passengers, goods, or food while calculating the carbon emissions created as a result of these various activities. The feasibility analysis is based on the Internal Rate of Return (IRR) of each type of transport vehicle used, using the Sum of Years Digits (SOYD) method, which takes into account depreciation, fuel use, and the carbon emissions produced. The results of the study show that the use of electric vehicles is a viable investment in the long term, both technically and financially.
Analisis Kelayakan Investasi Penggantian Truck Box dengan Metode IRR, NPV, dan PP Vikaliana, Resista; Iskandar, Yelita Anggiane; Ramadhan, Muhammad Raihan; Sembiring, Ellease Davira Christy; Hawari, Farisan; Zein, Ghalda Ghaliyah; Ramandy, Johan Almer; Asif, St Nurauliyah Nasri
Proceeding Mercu Buana Conference on Industrial Engineering Vol 5 (2023): LEAN AND GREEN FOR SUSTAINABILITY DEVELOPMENT GOALS IN THE I4.0 ERA
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2023.020

Abstract

In making an investment, it is necessary to carry out an investment feasibility test to assess the feasibility of the investment plan to be carried out. This study aims to examine the investment feasibility of replacing truck boxes with a larger capacity for distribution transportation at CV Jaya Proteindo. In the case of CV Jaya Proteindo, the method used to test the feasibility of investing in replacing a vehicle whose economic life is almost exhausted is using the Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP) methods as well as the calculation of benefits or profits. in distribution using the vehicle to be invested. Based on the results of the research conducted, the replacement of vehicles at CV Jaya Proteindo using either 2 Mitsubishi L300 units or 1 Mitsubishi FE 74S unit was declared feasible, because it provided results that met the eligibility criteria of the methods tested.. Both types of vehicles generate an NPV value of ≥ 0, a short Payback Period or 2 months, and an IRR greater than the interest rate of 4.75%. Then a calculation of the benefits or advantages of both types of vehicles is carried out and it is obtained that the Mitsubishi FE 74S has a higher annual cash flow and lower annual distribution costs. Therefore, it is concluded that the investment solution in CV Jaya Proteindo is the replacement of distribution vehicles using 1 unit of Mitsubishi FE 74S which is declared feasible and more financially profitable with a greater cash flow of Rp82,445,000.00 per year and smaller distribution costs of Rp31,548,854.17 per year when compared to the use of 2 units of Mitsubishi L300.
Unveiling Fisheries Supply Chain Performance with SCOR: Challenges for Food Security amid Climate Change Iskandar, Yelita Anggiane; Vikaliana, Resista; Situmeang, Echa Ratu Prety Claudia; Layman, Pauline Nancy Desline
Jurnal Ilmiah Manajemen dan Bisnis Vol 11, No 3 (2025): Jurnal Ilmiah Manajemen dan Bisnis
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jimb.v11i3.35815

Abstract

Indonesia’s capture fisheries sector plays a critical role in sustaining coastal livelihoods and national food security; however, production from both aquaculture and capture fisheries has not shown stability nor met the targets of the KKP Strategic Plan (RENSTRA) 2020-2024. In Fisheries Management Area (WPP) 713, particularly Teluk Aru, South Kalimantan, fish catch volumes have been declining, driven by the dual pressures of climate change and inefficiencies in fishing practices, storage, and supply chain management. These challenges not only threaten the availability of fish as a key protein source but also undermine economic growth and community resilience. This study seeks to evaluate the performance of the fisheries supply chain in Teluk Aru by designing indicators that explicitly incorporate climate change adaptation and food security dimensions, which remain underexplored in prior research. Data were collected through surveys, observations, and Focus Group Discussions (FGDs) with fishers, collectors, consumers, and local stakeholders, and analyzed using the Analytic Hierarchy Process (AHP) within the Supply Chain Operations Reference (SCOR) framework. The results identified 17 valid and relevant key performance indicators (KPIs), yielding an overall performance score of 43.71 out of 81.00, categorized as “low.” With only one KPI meeting its target, the findings underscore the urgent need for policy action and supply chain improvements to enhance resilience and sustainability in the fisheries sector.
Co-Authors Abid, Rasyid Ade Irawan Adriel Silaen, Thobias Afdiyan, Hafidz Al Alkatiri, Non Firdiyanti Altis Irawan, Tito Amadea, Jesika Anak Agung Ngurah Perwira Aqil, Hilmi Asif, St Nurauliyah Nasri Barandika, Barandika Candra Kurniawan, Adji Dicky Ahmad Zaky Eka Puspitasari, Eka Fajar Ikhlas, Muhammad Febryan, Rio Fihan, Joan Mesiah Furqan, Muhammad Alif Gaffar, Aditya Hartono, Werdaningtyas Evivani Hawari, Farisan Herlina, Rohma Hutasoit, Marco Ferdinand Montoya Ida Herawati Ikhlas, Muhammad Fajar Iktri Madrinovella Intan Oktafiani Iqbal, Nur Muhammad Jannah, Milqi Miftahul Kamilia, Rifka Alifa Khairunnisa, Nazihah Lailatul Fitriani Layman, Pauline Nancy Desline Lusiani, Mirna Misbahudin Misbahudin Mubarak, Alfi Muhammad Lubis Muhyi, Lana Salsabila Mulyasari, Farah Nissya, Agtandella Islamy Passasung, Octaviano Rosario Pratama, Fikih Urdi Purba, Niko Andri Putri Amro, Alda Putri Fadillah, May Rachmawati, Nur Layli Rahardi, Riqqi Rahma, Dewinka Azelia Rahmadani Zahra, Carissa Ramadhan, Muhammad Raihan Ramandy, Johan Almer Rollandiaz, Stenlee Rumalutur, Yizri Ievana Febrianty Sahbandar, Aulia Idharizqi Widayani Sandy Kurniawan Suhardja Sembiring, Ellease Davira Christy Siadari, Madhe Putra Situmeang, Echa Ratu Prety Claudia Sofyan, Fathya Fajria Sukarno, Iwan Sutisna, Fazar Utami, Fera Dianita Vikaliana, Resista Waskito Pranowo Widyanti, Sari Winda Septiana, Winda Zein, Ghalda Ghaliyah Zulvia, Ferani Eva