Jurnal Manajemen Industri Dan Logistik (JMIL) / Industrial And Logistic Management Journal
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ANALISIS PENGARUH BRAND IMAGE, PROMOTION, DAN ELECTRONIC WORD OF MOUTH TERHADAP MINAT BELI PADA APLIKASI ONLINE SHOP
AbstractThis research is conducted to examine the outcome of Brand Image, Promotion, and e-WOM toward Purchase Intention in the Online Shop application. The object of this research is millennial consumers who utilizes Shopee application in Jakarta area. This research was conducted on 150 respondents using a quantitative descriptive approach. Determining the sample size using purposive sampling technique due to some contemplation. Data collection method using a survey method, with the questionnaire as its research instrument. The approaches equipped in this research is the Structural Equation Model (SEM) with the Smart-Partla Least Square analysis tool. This research proves that Brand Image had a positive and significant effect on Purchase Intention in the Online Shop application, Promotion has a positive and significant effect on Purchase Intention in the Online Shop application and EWOM has a significant and fundamental outcome on Purchase Intention in the Online Shop application.AbstrakPenelitian ini ditulis oleh peneliti untuk melakukan analisis pengaruh antara Brand Image, Promotion, dan Electronic Word of Mouth (EWOM) terhadap Minat Beli pada aplikasi Online Shop. Objek riset ini merupakan para konsumen milenial yang menggunakan aplikasi Shopee di area DKI Jakarta. Pendekatan deskriptif kuantitatif digunakan dalam riset ini dengan memanfaatkan 150 responden. Teknik purposive sampling juga dimanfaatkan untuk penentuan ukuran sampling, purposive sampling technic dipilih karena pertimbangan beberapa faktor oleh peneliti dalam penerapannya. Pengumpulan data menggunakan survey method, dengan kuesioner sebagai instrument penelitiannya. Pendekatan penelitian menggunakan Structural Equation Model dengan dukungan Smart-Partial Least Square sebagai alat analisis riset. Riset ini memperlihatkan bahwa Brand Image memberikan pengaruh positif dan signifikan terhadap Minat Beli pada aplikasi Online Shop, Promotion memberi pengaruh positif serta signifikan terhadap Minat Beli pada aplikasi Online Shop serta Electronic Word of Mouth atau e-WOM berdampak positif signifikan terhadap Minat Beli pada aplikasi Online Shop
ANALISIS PENGARUH WAKTU DAN JARAK PERJALANAN KAPAL TERHADAP BIAYA LOW SULPHUR SURCHARGE
AbstractThe danger of ship emission caused by HFO (Heavy Fuel Oil) fuel type has become a serious matter due to its high containment of sulphur as much as 3.50% m/m. The IMO (International Maritime Organization) took action on this problem by releasing new regulation to limit sulphur in the ship fuel as low as 0.50% m/m. This regulation leads to an additional tariff called the LSS (Low Sulphur Surcharge). As an impact, shipping companies charge this fee to customers and ocean freight forwarders, hence there is an increase of the total shipping charges. Meanwhile, the dominant variable which determines the LSS charge amount is not yet known, so it is still uninformative for the public and the academic field. The purpose of this study is to analyse which variable gives the most influence on the amount of the LSS tariff. By using multiple linear regression method, the study finds that the shipping distance variable is the dominant variable with a contribution value of 86.48% and has positive relationship with the LSS tariff. On the other hand, though the voyage time also has influence on the tariff, the effect is weak and it shows negative relationship with the LSS tariff
BRAND SWITCHING MODEL AGAINST CONSUMER DISSATISFACTION ON THE SHOPEE MARKETPLACE TO OTHER MARKETPLACES
The study determines consumer dissatisfaction, variety seeking, and brand switching at Shopee's market offices. This study was conducted to determine the direct and indirect effects of consumer dissatisfaction and variety-seeking on brand switching on the Shopee marketplace to other marketplaces. The method used is quantitative with a population of Shopee users in Karawang who have switched to other marketplaces. A total of 150 samples were taken using a non-probability method of incidental sampling technique. In this paper, Consumer dissatisfaction has a positive and meaningful impact on variety seeking, variety seeking has a positive and significant effect on brand switching, consumer dissatisfaction has no significant and positive effect on brand switching, and consumer dissatisfaction has a significant and significant effect on brand switching through variety seeking
OPTIMASI PENYUSUNAN BARANG DALAM RANGKA MENINGKATKAN UTILITAS AKTIVITAS LOADING MENGGUNAKAN SOFTWARE CUBE IQ DI PT.ASR
AbstractLoading into containers must consider the level of efficient use of container space. The use of empty space and the arrangement of goods in containers that have not been optimal are problems in the process of loading goods. In this regard, the plan for the preparation of goods to be made by researchers is assisted with a software that will facilitate the optimal arrangement of goods arranged in containers. The parameters are reviewed from the aspect of purpose, weight, volume, and type of goods to see whether the optimal use of goods. Cube IQ became the software chosen to help implement the system in this study by determining the coordinates and 3D visualization of the arrangement of goods in containers. Goods data and container data become the data used in the simulation process. Dimensions (length, width, height) define the required item data. While dimensions (maximum weight and volume of containers) defines the required container data. After simulating the Cube IQ software there was an increase in the use of container capacity by 88.35% while manually only 87.91%. The implication is a decrease in distribution costs per unit, which is 0.5%. The optimization results obtained are expected to be able to provide input in making decisions determining the optimal arrangement of goods and fleet numbers.AbstrakPemuatan ke dalam kontainer harus mempertimbangkan tingkat efisiensi penggunaan ruang kontainer. Penggunaan ruang kosong dan penyusunan barang dalam kontainer yang belum optimal menjadi permasalahan proses muat barang. Berkaitan dengan hal itu, rencana penyusunan barang yang akan dibuat oleh peneliti dibantu dengan suatu perangkat lunak yang akan memudahkan simulasi penataan barang yang optimal pada kontainer. Parameter ditinjau dari aspek tujuan, berat, volume, dan jenis barang untuk melihat optimal tidaknya penyusunan barang. Cube IQ menjadi software yang dipilih untuk membantu mengimplementasikan sistem dalam penelitian ini dengan penentuan titik koordinat dan visualisasi 3D penataan barang pada kontainer. Data barang dan data kontainer menjadi data yang digunakan pada proses simulasi. Dimensi (panjang, lebar, tinggi) mendefinisikan data barang yang diperlukan. Sementara dimensi (berat dan volume maksimum kontainer) mendefiniskan data kontainer yang diperlukan. Setelah dilakukan simulasi dengan software Cube IQ terdapat peningkatan penggunaan kapasitas kontainer sebesar 88,35% sedangkan secara manual hanya 87,91%. Implikasinya terjadi penurunan biaya distribusi per unit yaitu sebesar 0,5% Hasil optimasi yang diperoleh diharapkan mampu memberi masukan dalam pengambilan keputusan menentukan penyusunan barang dan jumlah armada yang optima
KOMPARASI FUZZY AHP, TOPSIS DAN SMART UNTUK PEMILIHAN SUPPLIER
abstractPT.XYZ is a manufacturing drilling tools company where the assembly parts are supplied by the other companies. With 4% average percentage of not good (NG) from incoming assembly inspections in 2019 and the peak of 9,8% in April, the company needs to review its current suppliers. This research compares the result of the supplier selection using FAHP, TOPSIS and SMART methods to get the recommended suppliers. The three methods resulted the same suppliers with the highest value which is Supplier#3 and the three lowest values which are Supplier#4, Supplier#7 and Supplier#2 it is recommended to re-evaluation to improve their performance. This research compares the result of the supplier selection using FAHP, TOPSIS and SMART methods to get the recommended suppliers. The questionnaires were given to 12 subject matter experts. Using FAHP, TOPSIS and SMART methods to get the recommended suppliers.
THE EFFECT OF FIXED ASSETS, TOTAL INCOME, AND TOTAL DEBT ON NET INCOME IN PT. GARUDA INDONESIA (PERSERO) PERIOD 2014 – 2020
The purpose of conducting this research is to determine the financial performance of PT Garuda Indonesia in the period 2014-2020 which is reviewed through report posts finance is an asset fixed , total income and total debt as the independent variable and net income as the dependent variable. The data used are secondary data in the form of financial reports and annual reports obtained from the official website of PT Garuda Indonesia. Which method used in this study is a descriptive and verification combination method with quantitative approach to conclude data in the form of numbers into descriptive analysis. The technique taken is a saturated sampling technique. By using eviews 12, the results show that partially total income has a significant effect on net income, but assets still has no significant effect on net income, the same as total debt has no significant effect on net profit. But simultaneously assets Fixed income, total income, total debt have an effect on net income
THE EFFECT OF SOCIAL MEDIA ON BRAND LOYALTY (STUDY CASE: FACEBOOK FAN PAGE FOR GROWING UP MILK IN INDONESIA)
The issue for marketers resulting from the dramatic rise of social media usage is how fan pages can be leveraged to engage customers and create brand loyalty. This thesis discusses the effect of fan pages on brand loyalty and what motivates users to participate. This research is quantitative descriptive design. Data was gathered via a survey of 192 respondents of growing up milk fan pages and analyzed using Structural Equation Modelling. This study shows that there is a significant relationship between usage behavior on the fan page on brand loyalty. This research also identified that brand interaction as a driver for increasing the intensity of use of the fan page and self-concept value to increase the involvement. The results of this research suggest that the brand manager of social media sites should focus on increasing the traffic and create involvement, integrate, and make the fans active in the community
IMPLEMENTASI CONSIGNMENT STOCK DAN MARKETING MIX STRATEGY 4P UNTUK MENURUNKAN PERSEDIAAN PADA PART AND SERVICE DEPARTMENT DI PT. COAL MINING
AbstractThe company has complaints about the high inventory which is a burden to the company. Based on the observations, the inventory level in the Part and Service department in July with a value of days on inventory of 149 days exceeded the maximum target of 120 days. This study aims to find a way to reduce the value of days on inventory and deadstock as much as possible so that it can reduce costs. To find a solution to the problem, an ABC, SWOT, and business solution analysis was carried out through focus group discussions (FGD) with seniors and experts on this issue. From all the results of the analysis it was agreed that the consignment stock method and the 4P mix strategy could be implemented. After implementing this idea, good results were obtained, namely a decrease in inventory of Rp. 37,347,572,356 to Rp. 27,650,733,680 (down 26%) and the value of days on inventory from 149 days to 98 days and also a decrease in deadstock from Rp. 11,641,000,000 to Rp. 8,626,000,000 (down 26%)AbstrakPerusahaan memiliki keluhan akan tingginya inventory (inventory) yang menjadi beban bagi perusahaan. Berdasarkan hasil observasi, tingkat inventory pada DePartemen Part and Service pada bulan Juli 2018 ditemukan nilai days on inventory sebesar 149 hari yang mana telah melebihi batas maksimum yaitu 120 hari. Penelitian ini bertujuan untuk menemukan cara agar nilai days on inventory dan deadstock dapat ditekan semaksimal mungkin sehingga dapat menekan cost. Untuk mencari solusi permasalahan dilakukan analisis ABC, SWOT, dan solusi bisnis melalui focus group discussion (FGD) dengan para senior dan ahli dalam masalah ini. Dari seluruh hasil analisis disepakati bahwa metode consignment stock dan mix strategy 4P lah yang dapat diimplementasikan. Setelah implementasi ide tersebut, didapatkan hasil yang baik yakni penurunan inventory Rp 37.347.572.356 menjadi Rp 27.650.733.680 (turun 26%) serta nilai days on inventory dari 149 hari menjadi 98 hari dan juga penurunan atas deadstock dari Rp 11.641.000.000 menjadi Rp 8.626.000.000 (turun 26%)
PENENTUAN RUTE DISTRIBUSI PALLET MESH MENGGUNAKAN METODE SAVING MATRIX (STUDI KASUS : PT. MMM)
AbstractDistribution of products from the company's warehouse PT. MMM to consumers so far the company only uses estimates of consumers which will be passed in one shipment only by looking at the number of requests without considering the shipping routes and distance from the warehouse to the location of the consumer. This study aims to determine an effective shipping route using the saving matrix and nearest neighbor methods then find out distance savings and transportation cost savings. Comparison of the product distribution routes of PT. MMM after using the saving matrix method and the nearest neighbor method results in an effective and efficient route where the initial distribution route is 40 routes into 7 routes for 7 days of product distribution to consumers. The saving matrix method is applied. shows a reduction in the distance of the original shipment of 1,673.6 Km to 810.7 Km, thus obtained a savings of a distance of 862.9 Km. As well as a significant reduction in transportation costs where the initial cost of transportation of Rp. 4,478,448.- dropped to Rp. 3,675,951.-, so the company can save on transportation costs by Rp. 802,497.-.AbstrakRute pendistribusian produk dari gudang perusahaan PT. MMM ke para konsumen selama ini perusahaan hanya menggunakan perkiraan konsumen mana yang akan dilalui dalam satu kali pengiriman, yaitu hanya dengan melihat jumlah permintaan tanpa mempertimbangkan rute pengiriman dan jarak tempuh dari gudang ke lokasi konsumen. Penelitian ini bertujuan untuk menentukan rute pengiriman yang efektif menggunakan metode saving matrix dan nearest neighbor, kemudian mengetahui penghematan jarak serta penghematan biaya transportasi. Perbandingan rute distribusi produk PT. MMM dengan menggunakan metode saving matrix dan metode nearest neighbor menghasilkan rute yang efektif dan efisien dimana rute awal distribusi sebanyak 40 rute menjadi 7 rute untuk 7 hari pendistribusian produk ke konsumen. Dengan diterapkannya metode saving matrix menunjukan penurunan jarak tempuh pengiriman yang semula 1.673,6 Km menjadi 810,7 Km, dengan demikian didapatkan penghematan jarak sebesar 862,9 Km. Serta menurunkan biaya transportasi yang signifikan dimana biaya awal transportasi sebesar Rp. 4.478.448.- turun menjadi Rp. 3.675.951.-, sehingga perusahaan dapat menghemat biaya transportasi sebesar Rp. 802.49