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Peramalan Alokasi BBM Subsidi Kereta Api dengan Metode Statistika dan Machine Learning (Studi Kasus: Badan Pengatur Hilir Minyak dan Gas Bumi Jakarta) Yelita Iskandar; Nadia Carolina
LOGISTIK Vol 15 No 01 (2022): Logistik
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/logistik.v15i01.26497

Based on the results of the on-desk verification on June 2nd, 2021, it was found that there was a quite significant overstock of subsidized refined fuel oil for PT KAI (Indonesian Railways Company) during the Covid-19 pandemic, 42.9% in the first quarter of 2021 for passenger train types. The purpose of this study is to find out forecasting with statistical methods and machine learning in solving the overstock problem by finding the best fuel oil allocation scenario for PT KAI with the benchmark is the measurement that yields the smallest error using the Mean Absolute Percentage Error (MAPE). Experiment results show that exponential method with a MAPE value of 7.37% is good in predicting the allocation for the passenger train section of PT KAI of 8,474.52 and 7,836.58 kiloliters for the 3rd and 4th quarter of 2021, 7,246.65 and 6,701.14 kiloliters for the 1st and 2nd quarter of 2022. This research was conducted based on condition that there was no previous research that forecast the refined fuel oil needs of the passenger train section of PT KAI that was heavily affected by Covid-19.

ANALISIS STRATEGI PEMASARAN BISNIS EKSPOR IMPOR PERUSAHAAN FREIGHT FORWARDING MENGGUNAKAN SWOT DAN KTPPA (STUDI KASUS: PT MITRA SEKAWAN ULUNG) Rahesya Putera Syailendra; Yelita Anggiane Iskandar
JURNAL TEKNOLOGIA Vol 5 No 1 (2022): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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

According to PT Mitra Sekawan Ulung, a freight forwarding company in Indonesia, the number of customers from January to October 2020 continued to decrease. Although export and import activities at the end of 2020 slowly started to increase, in February 2021 the number of customers fell again which lasted until July 2021 therefore it is needed to analyze the marketing strategies related to export-import activities at the company. The purpose of this study is to determine the right marketing strategy and analyze the impact of implementing the strategic recommendations in the company. This research was conducted using the Strengths-Weaknesses-Opportunities-Threats (SWOT) analysis method and the Kepner-Tregoe Potential Problem Analysis (KTPPA). The SWOT analysis was carried out based on field study observations related to internal and external factors of PT Mitra Sekawan Ulung which later the SWOT identification results were used to make a questionnaire. The results showed that the calculation for the x-coordinate (S-W) was 1.171 while the y-coordinate (O-T) was -0.929 so that the plotting strategy was obtained in quadrant-4 or the ST strategy (Strengths-Threats). ST strategy recommendations are manifested in recommendations for companies to start using social media as promotional media and create an official company website to introduce available information and services in the hope that the company's selling power in the export-import service business market can be increased.

Pemodelan Faktor Penentu Produksi Kilang Pengolahan Crude Oil Menggunakan Multiple Linear Regression Irvan Miftahul Khair; Yelita Iskandar
Indonesian Journal of Energy and Mineral Vol. 2 No. 2 (2022): Indonesian Journal of Energy & Mineral
Publisher : Politeknik Energi dan Mineral Akamigas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53026/IJoEM/2022/2.2/1014

PT Kilang Pertamina Internasional, Refinery Unit (RU) VI Balongan merupakan salah satu kilang pengolahan crude oil menjadi produk-produk BBM, non BBM, dan produk lainnya yang dikelola PT Pertamina. Refinery Planning and Optimization (RPO) merupakan salah satu divisi di RU VI Ba-longan yang mengelola, mengatur, dan mengendalikan perencanaan dan operasional rantai pa-sok kilang secara efektif dan efisien. Di RU VI Balongan, terdapat kilang Residue Catalytic Cracking (RCC) yang diketahui memiliki perbedaan aktual yield dengan model matematis perhitungannya sehingga berpengaruh terhadap proses produksi. Mempertimbangkan kondisi ini, perlu dila-kukan perbaikan model existing menggunakan data terbaru untuk meminimasi deviasi antara yield perhitungan dan aktual sehingga batasan operasional RCC yang digunakan sebagai boundary value tidak dilanggar. Penelitian ini mencakup analisis faktor pengaruh data fisik kilang seperti suhu, kapasitas, dan lain lain terhadap hasil produksi di kilang RCC menggunakan multiple linear regression. Dengan nilai error model matematis dibandingkan kondisi aktual, yang diketahui sa-ngat kecil maka model matematis ini dapat diterapkan pada produksi RCC periode berikutnya.

Pendampingan Penyusunan Strategi Keberlanjutan Usaha Start-up Siklus Refill Indonesia Melalui Pengelolaan Green Products Yelita Anggiane Iskandar; Adji Candra Kurniawan; Mirna Lusiani; Rahmad Inca Liperda; Nur Layli Rachmawati; Silvia Dian Anggraeni; Frieska Haridha; Wegik Dwi Prasetyo; Ika Dyah Widharyanti; Laksamana Sakti
Jurnal Komunitas : Jurnal Pengabdian kepada Masyarakat Vol 5, No 2: Januari 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/jks.v5i2.2921

The linear economic system that has been applied in the industrial world poses various risks, one of which can be seen in the increase in the consumption of industrial products. An alternative to the traditional linear economy concept is called a circular economy, which in principle aims to reduce consumption waste by optimizing existing resources. The biggest challenge in implementing a circular economy is the need to shift people's ingrained behavior through the linear economic system. The challenges of implementing a circular economy can be slowly addressed in various ways, one of which is by providing environmental awareness education to the public that raises the importance of switching to green products. The start-up company “Siklus Refill Indonesia” utilizes innovation and digital technology related to the marketing of daily necessities products to end consumers. The business model offered is intended to deal with the problem of plastic waste from the source by replacing the use of sachet packaging by distributing daily goods directly to consumers with a last-mile delivery system, so that consumers can use their containers, and contribute significantly to the preservation of the earth.

Production Cost Analysis at PTPN VII Gunung Dempo Packaging Station using Activity-Based Costing Method Alda Putri Amro; Carissa Rahmadani Zahra; Lailatul Fitriani; May Putri Fadillah; Tito Altis Irawan; Yelita Anggiane Iskandar; Mirna Lusiani
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): 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.v1i2.18

Production costs consist of components that are directly attached to the product, including direct and indirect costs. In determining production costs such as packaging costs, the usage of the traditional model is not always suitable shown by the possibility of overstated or understated conditions. This study aims to propose the implementation of the Activity-based Costing (ABC) System in calculating the cost of tea packaging and finding the differences with the traditional costing. The data used were based on the case of PTPN VII Gunung Dempo, South Sumatra, Indonesia. The results using the ABC system show that the total cost per unit for BOPF tea products is IDR 34,444.45, for Dust products is IDR 35,629.77, and for Dust II products is IDR 35,629.77. While the traditional system calculation shows that the total cost per unit for BOPF tea products is IDR 61,982.60, for Dust tea products is IDR 61,982.60, and for Dust II tea products is IDR 61,982.60. The strategy that can be applied to avoid possible losses in determining packaging costs due to incorrect cost calculations using the traditional system model is to implement Activity-based Costing.

Supply Chain Operational Reference untuk Perancangan Indikator Kinerja Rantai Pasok Farmasi Yelita Anggiane Iskandar
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 9, No 1 (2022): MARET
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v9i1.704

Warehouses have an important role in the supply chain. The pharmaceutical industry is no exception. Pharmacy Warehouse functions as a place to store drugs and medical devices before being distributed to health facilities such as community health centers, clinics, and hospitals. One of the Pharmacy Warehouse Technical Implementation Units located in Dairi Regency, North Sumatra, has several problems that occur along its supply chain. These problems, among others, are related to time, cost, and the number of products shipped. In addition, there was also an increase in aggregate demand for drugs and medical devices in 2018-2019. This increase in demand reinforces the need for designing pharmaceutical supply chain performance measurements. In designing the supply chain performance measurement, the framework used is the Supply Chain Operational Reference (SCOR) which includes the plan, source, make, delivery, and return processes, which are then translated into a number of criteria based on the attributes of reliability, responsiveness, agility, costs, and assets to a number of Key Performance Indicators (KPI). In weighting KPI, the method used is Analytical Hierarchy Process (AHP). Based on data processing and analysis, a supply chain performance measurement design was obtained with 11 performance indicators. Based on the AHP results, it was found that the highest weight value of 0.750 was obtained on the indicators of accuracy and delivery speed, while the lowest weight value of 0.117 was obtained on the order picking accuracy indicator.

Determining Distribution Center Locations to Optimize Food Supply Chain Integration (A Case Study of an Agribusiness Company in Indonesia) Yelita Anggiane Iskandar; Nur Layli Rachmawati; Adji Candra Kurniawan; Ravi Prananda Kurniawan; Mega Rizkah Sudiar; Dedy Ramadhan; Sayyid Firous Taufiqulhaqiem; Andi Nur Shafirah Ramdhani Abidin; Anissa Widiyanti
Majalah Ilmiah Bijak Vol 20, No 1: March 2023
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/bijak.v20i1.3058

PT Asagri Selaras Asia is an agribusiness company in Jakarta, Indonesia that provides food supply for entrepreneurs in the tourism sector, such as hotels and restaurants. In running their business, the company has a supply chain network that effectively integrates suppliers, manufacturers, warehouses, and stores. Supply chain management optimization is deemed necessary to maximize efficiency in every process carried out at PT Asagri Selaras Asia. One of the processes that can be optimized is the determination of facility location. The right facility location can minimize distance, delivery time, and operational costs and optimize the company's profit. Currently, the contract period for the distribution center (DC) used by PT Asagri Selaras Asia is about to expire therefore a decision is needed regarding the determination of the DC location for the next period, either extending the current DC contract or moving to a new location. This study aims to maximize the company's profit by comparing the profit obtained under existing and alternative DC, and the proposed DC from the experimental results using the Green Field Analysis (GFA) method. This study also aims to determine the feasibility of the three DC locations using the Network Optimization (NO) method with Anylogistix software. Based on the data analysis, the new DC is recommended to be located in the West Pejaten area, South Jakarta with latitude -6.2729150574 and longitude 106.8230798418 which will give an increase in profit of 80.53% compared to the existing DC.

Pengembangan Model Optimasi Suplai Tandan Buah Segar dengan Goal Programming di PKS Tanjung Seumantoh PTPN I Yelita Anggiane Iskandar; Iwan Sukarno; Ismi Nur Sabani
Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 23 No 2 (2023)
Publisher : Prodi Teknik Industri Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/matrik.v23i2.3959

Industri kelapa sawit merupakan sektor yang penting bagi perekonomian nasional Indonesia. Kelapa sawit dipahami sebagai salah satu komoditas pertanian yang strategis sehingga segala aspek yang mampu meningkatkan produksi kelapa sawit beserta produk turunannya menarik untuk diteliti. Penelitian ini fokus pada produksi Crude Palm Oil (CPO), Palm Kernel (PK), dan pendapatan Pabrik Kelapa Sawit (PKS) khususnya di Tanjung Seumantoh dengan memperhatikan suplai bahan baku berupa Tandan Buah Segar (TBS). Melihat bahwa pada periode Januari-Desember 2020, capaian produksi CPO dan PK lebih kecil dibandingkan target yang disebabkan oleh minimnya pasokan TBS dari masing-masing penyulai (supplier) sehingga dibutuhkan optimasi sistem produksi. Didahului dengan pengembangan model matematis yang menggambarkan keadaan nyata di lapangan, kemudian dilakukan sejumlah eksperimen dan uji skenario untuk mengetahui skema yang paling sesuai dalam kerangka pemenuhan target produksi PTPN I area Sumatera Utara. Ada 2 skenario yang diujikan dimana skenario 1 mempertimbangkan rendemen realisasi sedangkan skenario 2 menggunakan rendemen target pada model. Mengingat ada lebih dari 1 objektif model yang ingin dicapai maka digunakan metode goal programming untuk mengolah data dengan software LINGO. Dari hasil eksperimen, diketahui bahwa penerapan skenario 2 yang paling baik untuk memenuhi target produksi, dengan nilai penyimpangan lebih kecil dibandingkan pada skenario 1. Lalu pada skenario 2, diketahui juga bahwa ada kebutuhan peningkatan suplai TBS untuk satu tahun sebagai berikut: 16% dari kebun sendiri, 12% dari pembelian perkebunan rakyat dan 8% dari Kerja Sama Operasional (KSO).

Perancangan Tata Letak Gudang Tipe Aktiva Tetap Tidak Beroperasi Ravi Prananda Rinaldy; Yelita Anggiane Iskandar
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 9, No 3 (2022): NOVEMBER
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v9i3.717

The Non-Operating Fixed Assets I Warehouse of Menes Baru substation used randomized storage that caused a lot of different types materials were stacked on top of each other and placed in sparsed random locations created inefficient order picking process. To solve the problem, the facility layout design using dedicated storage concept is created to minimize the order picking distance at the ATTB I Warehouse of Menes Baru substation. This research was conducted in several stages. There were (1) identifying materials and the flow patterns, including Materials Handling Equipment , (2) determining storage methods and options, and (3) analyzing activities using Activity Relationship Chart and Activity Relationship Diagram. The result shows that the recommended flow pattern material for the ATTB I Warehouse of Menes Baru substation is a U-shaped model. In addition, based on the results of the numerical scenario comparison test of order picking distances, the proposed layout using the dedicated storage concept of the ATTB I Warehouse of Menes Baru substation, could decrease the distances of order picking activity by 34% compared to the initial layout usin the randomized storage concept.

Supply Chain Operational Reference untuk Perancangan Indikator Kinerja Rantai Pasok Farmasi Yelita Anggiane Iskandar
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 9, No 1 (2022): MARET
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v9i1.704

Warehouses have an important role in the supply chain. The pharmaceutical industry is no exception. Pharmacy Warehouse functions as a place to store drugs and medical devices before being distributed to health facilities such as community health centers, clinics, and hospitals. One of the Pharmacy Warehouse Technical Implementation Units located in Dairi Regency, North Sumatra, has several problems that occur along its supply chain. These problems, among others, are related to time, cost, and the number of products shipped. In addition, there was also an increase in aggregate demand for drugs and medical devices in 2018-2019. This increase in demand reinforces the need for designing pharmaceutical supply chain performance measurements. In designing the supply chain performance measurement, the framework used is the Supply Chain Operational Reference (SCOR) which includes the plan, source, make, delivery, and return processes, which are then translated into a number of criteria based on the attributes of reliability, responsiveness, agility, costs, and assets to a number of Key Performance Indicators (KPI). In weighting KPI, the method used is Analytical Hierarchy Process (AHP). Based on data processing and analysis, a supply chain performance measurement design was obtained with 11 performance indicators. Based on the AHP results, it was found that the highest weight value of 0.750 was obtained on the indicators of accuracy and delivery speed, while the lowest weight value of 0.117 was obtained on the order picking accuracy indicator.

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