IMPLEMENTASI CONSIGNMENT STOCK DAN MARKETING MIX STRATEGY 4P UNTUK MENURUNKAN PERSEDIAAN PADA PART AND SERVICE DEPARTMENT DI PT. COAL MINING

The 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%).

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..

ANALISIS PENGARUH WAKTU DAN JARAK PERJALANAN KAPAL TERHADAP BIAYA LOW SULPHUR SURCHARGE

The 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.

ANALISIS PENGARUH CUSTOMER EXPERIENCE TERHADAP LOYALITAS PELANGGAN

abstractThis study aims to see the effect of sense, feel, act, think, relate on customer loyalty. The variables sense, feel, act, think and relate are part of the customer experience which are the independent variables, while the variable customer loyalty is the dependent variable. The object of this research is the visitors to the hoka-hoka bento restaurant or what is known as hokben. The target respondents for this study were 70 people spread across four hokben outlets in the South Jakarta area. The results of the study show that the variables sense, act and relate have a positive effect on customer loyalty in Hokben restaurant, while the variables feel and think do not have a significant effect on customer loyalty. The most dominant dimension of customer experience in this study is shown in the act experience variable.abstrakPenelitian ini bertujuan untuk melihat pengaruh antara sense, feel, act, think, relate terhadap loyalitas pelanggan. Variabel sense, feel, act, think dan relate adalah bagian dari customer experience yang menjadi variabel independen, sedangkan variabel loyalitas pelanggan adalah sebagai variabel terikat. Adapun objek penelitian ini adalah pengunjung restoran hoka-hoka bento atau yang dikenal hokben. Target responden untuk penelitian ini berjumlah 70 orang yang tersebar di empat gerai hokben di wilayah Jakarta Selatan. Hasil peneltian menunjukan bahwa variabel sense, act dan relate berpengaruh positif terhadap loyalitas pelanggan restoran hokben sedangkan variabel feel dan think tidak berpengaruh signifikan terhadap loyalitas pelanggan. Dimensi customer experience dalam penelitian ini yang paling dominan ditunjukan pada variabel act experience.

ANALISIS SIKAP KONSUMEN DI MASA PANDEMI COVID-19 DAN PENGARUHNYA TERHADAP KEPUTUSAN PEMBELIAN DI COFFEE SHOP JABODETABEK

abstractThe Covid-19 pandemic has a negative impact on various types of foods and beverages business including a coffee shop. The objective of this research is to analyze consumer attitudes during the Covid-19 pandemic and the influence of consumer attitudes during the Covid-19 pandemic on purchasing decisions at coffee shop. The sample of this research is 100 respondents in Jabodetabek (Jakarta, Bogor, Depok Tangerang, and Bekasi). Sampling methods using purposive sampling technique. Sampling data is collected by distributing questionnaires to consumers who had visited a coffee shop in Jabodetabek. The analysis data using Structural Equation Modeling method with Partial Least Squares. The results of the analysis show that consumers aware with the Covid-19 pandemic and its health protocols. Consumers also apply the government's Covid-19 health protocol. Consumer attitudes during this pandemic have a negative effect on purchasing decisions at coffee shop. abstrakPandemi Covid-19 cenderung berdampak negatif pada berbagai jenis usaha di sektor makanan dan minuman, termasuk coffee shop. Tujuan penelitian ini adalah untuk menganalisis sikap konsumen pada masa pandemi Covid-19 dan pengaruh sikap konsumen pada masa pandemi Covid-19. terhadap keputusan pembelian di coffee shop. Sampel dari penelitian ini adalah konsumen di Jabodetabek sebanyak 100 responden. Pengambilan sampel menggunakan teknik purposive sampling. Pengambilan data dilakukan dengan menyebarkan kuesioner ke konsumen yang pernah melakukan kunjungan coffee shop di Jabodetabek. Analisis data dilakukan menggunakan Structural Equation Modeling (SEM) dengan pendekatan Partial Least Squares. Hasil analisis menunjukkan konsumen mengetahui pandemi Covid-19 dan protokol kesehatan. Konsumen juga menerapkan protokol kesehatan Covid-19 dari pemerintah. Sikap konsumen pada masa pandemi ini berpengaruh negatif terhadap keputusan pembelian di coffee shop.

PENENTUAN RUTE DISTRIBUSI PALLET MESH MENGGUNAKAN METODE SAVING MATRIX (STUDI KASUS : PT. MMM)

Distribution 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. 802.497

STUDI PERBANDINGAN KEBIJAKAN INDUSTRI 4.0 INDONESIA DENGAN TIGA NEGARA LEADING GROUP FUTURE OF PRODUCTION

The World Economic Forum has compiled a profile of future of production readiness among 100 countries in the world where Indonesia is in the nascent group and requires benchmarking to the leading groups through SWOT Analysis. This study aims to compare Indonesia's industry 4,0 policy with leading countries through a comparative study. The data is obtained from industry 4.0 policy from Indonesia and three leading countries. The results of the study indicate that the Making Indonesia 4.0 policy is on the right track to pursue manufacturing competence and answer future challenges that will be faced by Indonesia and the current baseline, has weaknesses in priority sectors that do not support increased complexity. Opportunities that can be taken are trade infrastructure with other countries, investment opportunities for countries that lack human resources, and cooperation in sustainability standards. The challenge lies in the common priority sectors of the industry and the absence of AI research priorities for health and biotechnology while Indonesia has a large domestic market.AbstrakWorld Economic Forum menyusun profil kesiapan industri masa depan pada 100 negara di dunia dimana Indonesia tergolong kelompok Nascent dan membutuhkan pembandingan dengan negara-negara kelompok Leading melalui analisa SWOT, Studi ini bertujuan untuk membandingkan kebijakan industri 4.0 Indonesia dengan negara-negara kelompok Leading melalui studi komparatif. Data diperoleh dari kebijakan industri 4.0 dari Indonesia dan tiga negara kelompok leading. Hasil dari studi mengindikasikan bahwa kebijakan Making Indonesia 4.0 telah pada jalur yang tepat untuk mengejar kompetensi manufaktur dan menjawab tantangan masa depan yang akan dihadapi Indonesia dan baseline saat ini, mempunyai kelemahan pada sektor prioritas yang tidak mendukung peningkatan kompleksitas. Peluang yang bisa diambil adalah infrastruktur perdagangan dengan negara lain, peluang investasi untuk negara yang kurang dalam sumber daya manusia, dan kerjasama standar sustainability. Tantangan ada pada kesamaan sektor prioritas industri dan belum adanya prioritas riset AI untuk kesehatan dan bioteknologi sementara Indonesia mempunyai pasar domestik yang besar.

ANALISIS PENGARUH BRAND IMAGE, PROMOTION, DAN ELECTRONIC WORD OF MOUTH TERHADAP MINAT BELI PADA APLIKASI ONLINE SHOP

This 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.

PERILAKU EKSPOR DAN PRODUKTIVITAS PADA USAHA MANUFAKTUR MIKRO DAN KECIL DI INDONESIA: PENDEKATAN MODEL LIMITED DEPENDENT

This study examines the role of productivity in explaining Indonesian micro and small manufacturing firms’ export behavior based on a firm-level dataset of micro and small manufacturing survey year 2015 (VIMK15) from Statistics Indonesia. By utilizing the Probit and Tobit model, this study analyses the role of the firm’s productivity, which is proxied by labor productivity and output to cost ratio, on determining firms’ export participation and intensity. The other factor related to productivity and firms’ characteristic is also used as control variables. This study found that labor productivity and output to cost ratio positively and significantly determine export participation and intensity even though its marginal effect plays a minor role in the export behavior. Besides, as measured by CEO education and employment training, human capital contributes a major impact on encouraging firms to participate in the export market. Therefore, providing appropriate and reasonable employee training might support Indonesian micro and small manufacturing firms’ development.

METODE GRAVITY LOCATION UNTUK OPTIMASI PENENTUAN LOKASI GUDANG PADA JARINGAN DISTRIBUSI DI PT XYZ

XYZ company is a large textile dye companies in Indonesia. To reach existing consumers with lower transportation costs, XYZ Company plans to add new warehouses. This study provides an analysis using mathematical modeling for the problem of selecting a new facility location for XYZ company. The purpose of the model used is to provide recommendations for the location of candidate warehouse facilities that will be used as new warehouses. This study uses the gravity location method which is implemented simply with Microsoft Excel software. This method was chosen based on its suitability with the description of the problems XYZ company has. In this study, the data required to determine the location of the best facilities were collected according to the gravity location method procedure. The data collected is data related to consumers from XYZ companies such as location (latitude, longitude), number of requests, and distance data. The results of managerial analysis related to the old location and the new location for the facilities that will be used by the XYZ company show that the new location is projected to provide transportation cost savings of Rp. 416,910, - or 21% per week.AbstrakPerusahaan XYZ merupakan perusahaan pewarna tekstil yang cukup besar di Indonesia. Untuk menjangkau konsumen yang sudah ada dengan biaya transportasi yang lebih rendah Perusahaan XYZ berencana melakukan penambahan gudang baru. Penelitian ini memberikan analisa menggunakan pemodelan matematis untuk permasalahan pemilihan lokasi fasilitas baru bagi perusahaan XYZ. Tujuan dari model yang digunakan ini adalah memberikan rekomendasi lokasi kandidat fasilitas gudang yang akan digunakan sebagai gudang baru. Penelitian ini menggunakan metode gravity location yang diimplementasikan secara sederhana dengan perangkat lunak Microsoft Excel. Metode ini dipilih berdasarkan kesesuaiannya dengan deskripsi permasalahan yang dimiliki perusahaan XYZ. Dalam penelitian ini dikumpulkan data yang dibutuhkan untuk menentukan lokasi fasilitas terbaik sesuai dengan prosedur metode gravity location. Data yang dikumpulkan adalah data terkait konsumen dari perusahaan XYZ seperti lokasi (latitude, longitude), jumlah permintaan, dan data jarak. Hasil analisa manajerial terkait lokasi lama dan lokasi baru untuk fasilitas yang akan digunakan perusahaan XYZ menunjukkan lokasi baru diproyeksikan dapat memberikan penghematan biaya transportasi sebesar Rp. 416.910,- atau sebesar 21% per minggu nya.