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INDONESIA
JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK
Published by Politeknik APP Jakarta
ISSN : 1411142X     EISSN : 25985795     DOI : -
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation
Jurnal Manajemen Industri dan Logistik (Industrial and Logistic Management Journal) JMIL, invites academician/researchers/contributors to submit research papers, technical papers, conceptual papers, and case study reports in the scope of Logistics Management, Industrial Marketing, and International Trade in Bahasa Indonesia or English written. Published twice a year in MAY and NOVEMBER:
Arjuna Subject : -
Articles 383 Documents
 32   33   34   35   36 
PENGARUH PELAYANAN DAN KEPUASAN TERHADAP LOYALITAS NASABAH KREDIT PADA PT. BPR X Faisal H Batubara
Jurnal Manajemen Industri dan Logistik Vol. 2 No. 2 (2018): page 106 - 205
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v2i2.38

Abstract

The purpose of this study is to determine how much influence between the services provided and the level of satisfaction obtained on loyalty of credit customers at PT. BPR X. Techniques used in collecting data is using the method of field observation, interviews to respondents and the distribution of questionnaires. The population used in this research is credit customers of PT. BPR X which amounted to 386 credit customers, sampling technique used is a purposive method obtained by the sample of 60 respondents or by 15% of the population. Methods of data analysis using multiple linear regression analysis, correlation test, determinant test, partial t test and multiple F test. The result of multiple linear regression analysis shows that Y = 0,254 + 0,474 X1 + 0,445 X2 meaning without Xeria veriabel (service) and X2 (satisfaction) then variable Y (satisfaction) remain 0,254. Based on the correlation test results of correlation value of  0,533 which means having a medium relationship in accordance with the criterion limits that have been determined at the correlation interval (0.40 - 0.59 category strong enough). The determinant test shows the value of R square of 0.284, which means the influence of service variables and satisfaction on the loyalty variable is 28.4%, the rest of 71.6 % is influenced by other independent variables which are not included in this research that is the level of competition, market demand , price, promotion, and so on. The result of t test is obtained by t value of service variable (2,169)> t-table (1,671) with significance value 0,034 below 0,05 hence it shows that service variable does not have significant influence to loyalty and obtained value t-count variable customer satisfaction (3.653)> t-table (1,671) with a significance value of 0.001 below 0.05 then it shows that customer satisfaction variables does not significantly influence loyalty. The result of F test shows that service (X1) and customer satisfaction (X2) have positive effect and significant  on Customer loyalty (Y), this is proven by F test calculation obtained F count = 11,313 bigger than Ftable 2,370. The significant level obtained is (0,000) this value can be said to be absolutely significant because it is valued at 0,000 and smaller than the significant standard (5% or 0.05)
OPTIMASI SISTEM ANTRIAN PADA LAYANAN KESEHATAN MASYARAKAT MENGGUNAKAN PENDEKATAN SIMULASI Widya Setia Findari; Yohanes Anton Nugroho
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 1 (2019): page 01 - 93
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i1.41

Abstract

Abstract : The purpose of this study is to optimize service time in a community health center. The average number of patients visiting is 100 to 300 per day. In certain units there is a heavy queue of patients which increases service waiting times, including registration units, inspection units, and pharmaceutical units. The initial observation data on the existing system shows the waiting time for patient services is 2,7 hours. This fact shows that the time of patient service on the existing system needs to be optimized so that the waiting time can be accelerated. This study offers a solution to optimize the service queue system using a simulation approach. The DMAIC (Define, Measure, Analyze, Improve, Control) Six Sigma method is used as a basis for analyzing the waiting time for services from an existing system. The results of the analysis are used in the simulation test to obtain improvement factors using several scenarios. The best simulation results are obtained with the scenario of adding operators in all units. Optimizing the waiting time of patient services using the best scenario simulation approach is shown by the decrease in waiting time of the queue system by 1,05 hours or 38,9% faster than the existing system.Keywords: System Optimizing; Public Health; Queue; Simulation; DMAIC Six SigmaAbstrak : Tujuan penelitian ini adalah untuk mengoptimalkan waktu tunggu pelayanan di sebuah pusat kesehatan masyarakat (Puskesmas). Rata-rata jumlah pasien yang berkunjung adalah 100 hingga 300 per hari. Pada beberapa unit tertentu terjadi antrian pasien yang padat sehingga meningkatkan waktu tunggu pelayanan, antara lain unit pendaftaran, unit pemeriksaan, dan unit farmasi. Data pengamatan awal pada sistem yang ada menunjukkan waktu tunggu pelayanan pasien adalah 2,7 jam. Fakta ini menunjukkan bahwa waktu pelayanan pasien pada sistem yang ada perlu dioptimalkan agar waktu tunggu dapat dipercepat. Penelitian ini menawarkan solusi optimalisasi sistem antrian pelayanan dengan menggunakan pendekatan simulasi. Metode DMAIC (Define, Measure, Analyze, Improve, Control) Six Sigma digunakan sebagai dasar analisis waktu tunggu pelayanan dari sistem yang sudah ada. Hasil analisis digunakan pada uji simulasi untuk mendapatkan faktor perbaikan dengan menggunakan beberapa skenario. Hasil simulasi terbaik diperoleh dengan skenario penambahan operator di semua unit. Optimasi waktu tunggu pelayanan pasien dengan menggunakan pendekatan simulasi skenario terbaik ditunjukkan oleh penurunan waktu tunggu sistem antrian sebesar 1,05 jam atau 38,9% lebih cepat dari sistem yang sudah ada.Kata kunci: Optimasi Sistem, Layanan Kesehatan, Antrian, Simulasi, DMAIC Six Sigma
PENENTUAN FREKUENSI PEMESANAN KOMPONEN LENSA KAMERA MENGGUNAKAN METODE DETERMINISTIK DINAMIS UNTUK MEMINIMALISASI BIAYA PERSEDIAAN PADA PT XACTI INDONESIA Lisa Hadiyanti; M Tirtana Siregar
Jurnal Manajemen Industri dan Logistik Vol. 2 No. 2 (2018): page 106 - 205
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v2i2.44

Abstract

This study aims to determine the comparison of order determination on camera lens components and the costs incurred between company policies and dynamic deterministic methods. This study uses dynamic deterministic methods, namely Wagner-Whitin Algorithm, Silver Meal, Least Unit Cost, Economic Part Period, Lot For Lot and Least Total Cost to determine the amount of costs incurred by the company each time the order on the camera lens component. Of all these dynamic deterministic methods, the most efficient is the Wagner-Whitin Algorithm method with an order frequency of 10 times the order and the cost incurred is Rp. 34,529,190. The Silver Meal method with the order frequency of 10 times the order and the cost incurred is Rp. 35,390,310. Least Unit Cost method with the order frequency of 10 times the order and the cost incurred is Rp. 35,234,830. The method of the Economic Part Period with an order frequency of 10 times the order and costs incurred in the amount of Rp. 35,390,310. Method Lot For Lot with the order frequency of 12 times the order and the cost incurred is Rp. 36,720,396. And the Least Total Cost with the order frequency of 10 times the order and the cost incurred is Rp. 35,390,310. In company policy, 12 orders are made at a cost of Rp. 36,720,396. So that the proposed improvement can be given is that the company is expected to use the Wagner-Whitin Algorithm method which has a minimum order frequency and cost.
KAJIAN INDUSTRI 4.0 UNTUK PENERAPANNYA DI INDONESIA Suharman Hadi; Hari Wisnu Murti
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 1 (2019): page 01 - 93
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i1.59

Abstract

Abstract : The implementation of concept Industry 4.0 in Indonesia has been studied in this paper. The study was motivated after the launcing of Making Indonesia 4.0 by the President of the Republic of Indonesia in April 2018. The study aims to study the concept of IR 4.0 for its implementation in Indonesia. Methods include collecting various references with industry 4.0 keywords, applying information technology, pharmaceutical industry and manufacturing industries. The results of the study concluded that industry 4.0 was an era that empowered the role of manufacturing digitalization and supply networks that involved the integration of digital information from various sources and locations to drive manufacturing and distribution physically. It is found that, There are five main technologies for IR 4.0, namely Artificial Intelligence (AI), Internet of Things (IoT), Wearable Technology (WT), Advanced Robotic (AR) and 3D Printing (3DP). Each component of technology can be used in various industries and manufacturing. The implementation of IR 4.0 would likely provide more benefits and advantages such as increase effieciency and effectivty in manufacturing industries.Keywords: Concept of IR 4.0, application of information technology, manufacturing industry.Abstrak : Telah dilakukan kajian yang mempelajari konsep Industri 4.0 (IR.4.0)untuk penerapannya di Indonesia.  Kajian dilatar belakangi oleh dicanangkannya making Industri 4.0 oleh Presiden RI pada bulan April 2018.  Kajian bertujuan mempelajari konsep IR 4.0 untuk implementasinya di Indonesia.  Metode meliputi pengumpulan berbagai referensi dengan kata kunci industry 4.0, penerapan teknologi informasi, industru farmasi dan industry manufaktur.  Selanjutnya referensi tersebut dianalisis dan diskripsi sehingga menghasilkan suatu ringkasan.  Hasil kajian menyimpulkan bahwa industry 4.0 merupakan era yang memberdayakan peran digitalisasi manufaktur dan jaringan suplai yang melibatkan integrasi informasi digital dari berbagai sumber dan lokasi untuk menggerakkan manufaktur dan distribusi secara fisik. Terdapat lima teknologi utama IR 4.0, yaitu artificial Intelligence (AI), Internet of Things (IoT), Wearable Technology (WT), Advanced Robotic (AR) dan 3D Printing (3DP).  Masing-masing komponen teknologi dapat dimanfaatkan pada berbagai industry dan manufaktur.  Pemanfaatan IR 4.0 diyakini akan memberikan manfaat dan keuntunganyang lebih banyak (misalnya kinerja menjadi lebih efektif dan lebih efisien).Kata kunci :  Konsep IR 4.0, penerapan teknologi informasi, industry manufaktur.
APAKAH KEINTIMAN KEPADA KONSUMEN BERPENGARUH TERHADAP KEPUASAN KONSUMEN? STUDI KASUS PADA TEMPAT PENYEDIA JASA SERVIS MOBIL DI KOTA BANDUNG Irsyad Kamal (Universitas Padjadjaran - Indonesia); Deru R Indika (Universitas Padjadjaran - Indonesia); Muhamad Aqshel Revinzky (Universitas Padjadjaran - Indonesia)
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 2 (2019): page 94 - 173
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i2.61

Abstract

Abstract A shift in marketing orientation, from transactional marketing to long-term and involves emotions that become the current trend. Many ways and efforts made by the company to win the current competition is to conduct customer intimacy towards its customers. This research is aimed to see how the relationship between customer intimacy and customer satisfaction, measured using ordinary linear regression. Independent variable in this research is customer intimacy with factors of Tailoring, Coaching, and Partnering, and dependent variable customer satisfaction with Tangible, Empathy, Responsiveness, Reliability and Assurance as its factors, processed using customer satisfaction index method. Purposive sampling method is used to reach 100 respondents and the data is analyzed using ordinary linear regression. Simultaneous t- test is used to test hypotheses with significance level of 10%. Result shows that customer intimacy has positive and significant influence to customer satisfaction. Customer intimacy is able to define 14,8% customer satisfaction. This indicates a low relationship of customer intimacy to customer satisfaction in car service center.  Keywords: customer intimacy; customer satisfaction; service quality Abstrak Orientasi pemasaran yang mulai beralih dari pemasaran transaksional menjadi pemasaran yang bersifat jangka panjang dan melibatkan emosi menjadi tren saat ini. Banyak cara dan upaya yang dilakukan oleh perusahaan untuk memenangkan persaingan saat ini adalah dengan melakukan customer intimacy terhadap konsumen nya. Penelitian bertujuan untuk melihat hubungan antara customer intimacy terhadap customer satisfaction yang diukur berdasarkan regresi linier sederhana. Penelitian ini menggunakan customer intimacy sebagai variable independen dengan faktor-faktor Tailoring, Coaching, dan Partnering sedangkan variabel dependen yang digunakan adalah customer satisfaction dengan faktor-faktor Tangible, Empathy, Responsiveness, Reliability, dan Assurance yang diolah menggunakan metode customer satisfaction index. Penelitian ini menggunakan metode purposive sampling sebagai sampel dengan menggunakan 100 tanggapan responden untuk diteliti. Data dianalisis dengan regresi linear sederhana. Pengujian hipotesis menggunakan Uji t simultan dengan tingkat signifikansi 10%. Hasil pengujian menggunakan uji t menunjukkan bahwa di tempat penyedia jasa servis mobil variabel customer intimacy berpengaruh positif signifikan terhadap customer satisfaction. Selain itu variabel customer intimacy dapat menjelaskan 14,8% variabel customer satisfaction. Hal ini mengindikasikan adanya pengaruh yang rendah tapi pasti dari customer intimacy terhadap customer satisfaction di tempat penyedia jasa servis mobil. Kata kunci: keintiman kepada konsumen; kepuasan konsumen; kualitas servis
PERHITUNGAN EFEKTIFITAS LINTASAN PRODUKSI MENGGUNAKAN METODE LINE BALANCING Indrani Dharmayanti; Hafif Marliansyah
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 1 (2019): page 01 - 93
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i1.63

Abstract

Abstract : This study aims to determine how effective and efficient the production line and calculate the optimal time  to process a candy product. The data was measured by stopwatch, then tested for uniformity and adequacy to obtain a value to do line balancing analysis using the Killbridge and Wester methods and Rank Position Weight, then performance of the  initial line  is compared with the results of analysis. The results of analysis using both line balancing methods, show that line efficiency were 76.1%, increasing by 43.1% from the efficiency of the initial line by 33%. The result of the balance delay (BD) calculation is 23.92% decreased by 53%, and the smoothness index 17.79  fell by 74.98  from the initial line which means that the proposed production line are more efficient than the initial line. The optimum time needed for production start from sugar tipping to the packaging are 91,29 minutes.Keywords: line balancing; line efficiency; Killberg & Wester; Rank Position WeightAbstrak : Penelitian bertujuan untuk mengetahui seberapa efektif dan efisien lintasan produksi yang digunakan pada proses produksi permen, serta menghitung waktu optimal yang dibutuhkan dalam produksi. Pengambilan data primer dilakukan dengan metode pengukuran langsung menggunakan jam henti  yang selanjutnya diuji keseragaman, dan kecukupan datanya sehingga diperoleh sebuah nilai untuk kemudian dilakukan analisis keseimbangan lini dengan menggunakan metode Killbridge dan Wester dan Rank Position Weight. Selanjutnya performansi lintasan awal dibandingkan dengan hasil analisis keseimbangan lini. Dari hasil analisis menggunakan kedua metode line balancing tersebut diperoleh hasil efisiensi lini sebesar 76,1%,  meningkat sebesar 43,1% dari efisiensi keadaan lintasan awal sebesar 33%. Hasil perhitungan balance delay (BD) adalah sebesar 23,92% turun 53% dari kondisi awal; dan  smoothness index 17,79 turun sebesar 74,98 yang artinya hasil analisis lintasan usulan lebih efisien dibandingkan dengan keadaan lintasan awal. Hasil analisis waktu optimum yang dibutuhkan untuk produksi mulai dari tipping gula sampai proses pengemasan adalah 91,29 menit.Kata kunci: efisiensi lini produksi,  keseimbangan lintasan; Killberg & Wester; Rank Position Weight
PENGARUH AGLOMERASI DAN HUBUNGAN VERTIKAL INDUSTRI TERHADAP PRODUKTIVITAS INDUSTRI DI INDONESIA Betty Yarsita Agustina; Andi Fahmi Lubis
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 1 (2019): page 01 - 93
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i1.71

Abstract

Abstract : The research objectives is to analyze agglomeration over the company's productivity of 2 important factors of agglomeration: interindustry (localization) and cross industry spillover (urbanization) and review its effect if those agglomeration derives from upstream or downstream industry. In addition to it, this research is determining on how geographic distance and economic distance against spillover strength. By means of the company‘s level panel data of heavy and medium industrial survey result by the National Statistical Bureau in local regency/municipality level ranging from 2008 to 2015 and 2010 output input table to see the vertical industry relation, the outcomes may show that both company accepting positive and significant impact on productivity spillover of the same industrial sector, and other industrial sector in the same region. Nevertheless, the more far the area geographically, the less its impact. Productivity spillover is also determined from upstream dan downstream industries concentrating in the same region. However, the economic distance effect is not identified on the upstream level. Hence, the policy implication of the research result is to encourage and shaping the downstream industries, facilitate technology transfer from upstream companies, and periodically evaluate industrial estates.Keywords: agglomeration, downstream, productivity, spillover, upstream.Abstrak : Penelitian ini bertujuan untuk menganalisis pengaruh aglomerasi terhadap produktivitas perusahaan dari dua faktor penting aglomerasi, yaitu intraindustry (lokalisasi) dan crossindustry spillover (urbanisasi) dan mengkaji bagaimana pengaruhnya jika aglomerasi tersebut berasal dari industri upstream atau downstream dari perusahaan tersebut. Selain itu penelitian ini juga ingin membuktikan pengaruh jarak geografis dan jarak ekonomi terhadap kekuatan spillover. Dengan menggunakan data panel level perusahaan dari hasil survei industri besar dan sedang BPS untuk tingkat kabupaten kota dengan rentang waktu tahun 2008-2015 dan Tabel input output 2010 untuk melihat hubungan vertikal industri, diperoleh kesimpulan bahwa perusahaan menerima dampak spillover produktivitas yang positif dan signifikan dari berkumpulnya perusahaan dari sektor industri yang sama, maupun dari sektor industri lain yang berada di wilayah yang sama. Namun makin jauh jarak geografisnya, pengaruh tersebut semakin kecil. Spillover produktivitas juga diperoleh dari perusahaan sektor upstream dan downstream yang berkumpul diwilayah yang sama dengan perusahaan tersebut. Makin dekat jarak ekonominya makin besar pengaruh spillover dari sektor downstream. Pengaruh jarak ekonomi ini tidak ditemukan pada sektor upstream. Dengan demikian implikasi kebijakan dari hasil penelitian yaitu mendorong terciptanya hilirisasi industri, memfalitasi transfer teknologi dari perusahaan upstream, dan melakukan evaluasi kawasan industri secara berkala.Kata kunci: aglomerasi, downstream, produktivitas, spillover, upstream.
MODEL TRANSPORTASI PENGIRIMAN PRODUK PERISHABLE DENGAN MULTI KENDARAAN Winanda Kartika
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 1 (2019): page 01 - 93
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i1.72

Abstract

Abstract : According to Graf theory, the shortest path determination is a problem of looking for a path between two vertices in a weighted graph to obtain the minimum amount of weight.The determination of the shortest path problem also called optimization problem. Several algorithms have been developed in solving this problem. Each algorithm has a different way of solving a particular problem. In this study, the development of algorithms was carried out to determine the critical path from one origin point to one destination point on a network for the delivery of perishable products that limited time window to minimize the total cost and the selection of vehicles that will be used for solving the problem.The Algorithm that developed is Dijkstra algorithm. The first stages of the algorithm development is to modify the network of the studied problem by making the network replication. The second stage is to make problem-solving steps to minimize the total cost, consists of a fixed cost, variable cost, vehicle turnover costs, deterioration cost and parking fees with modified Dijkstra algorithm because the problems can not be modeled mathematically.To test the developed algorithm, we used numerical examples with hypothetical dataKeywords: perishable product; deterioration; time window; modified Dijkstra algorithmAbstrak : Menurut teori Graf, penentuan rute terpendek merupakan suatu persoalan mencari lintasan antara dua buah simpul pada graf berbobot untuk mendapatkan jumlah bobot yang paling minimum. Permasalahan penentuan rute terpendek disebut juga masalah optimasi.Beberapa algoritma telah dikembangkan dalam pemecahan masalah ini. Setiap algoritma memiliki cara yang berbeda dalam menyelesaikan suatu permasalahan tertentu. Pada penelitian ini, dilakukan pengembangan algoritma untuk menentukan lintasan kritis dari satu titik asal ke satu titik tujuan pada suatu jaringan untuk pengiriman produk perishable dan dibatasi jendela waktu dengan meminimumkan total biaya sekaligus pemilihan jenis kendaraan yang akan digunakan untuk pemecahan masalah. Algoritma yang dikembangkan adalah Algoritma Dijkstra. Tahapan awal pengembangan algoritma adalah memodifikasi jaringan dari masalah yang diteliti dengan cara membuat replikasi jaringan. Tahapan kedua adalah membuat langkah pemecahan masalah untuk meminimumkan total biaya yaitu biaya tetap, biaya variabel, biaya pergantian kendaraan, biaya deteriorasi dan biaya tunggu dengan modifikasi Algoritma Dijkstra. Modifikasi Dijkstra dilakukan karena permasalahan yang diteliti tidak bisa dimodelkan secara matematis. Pengujian algoritma menggunakan contoh numerik dengan data hipotetik.Kata kunci: produk perishable; deteriorasi; jendela waktu; modifikasi Algoritma Dijkstra.
PENGARUH SUNK COST IMPORT ENTRY DAN IMPORT SPILLOVER TERHADAP KEPUTUSAN MENGIMPOR BAHAN BAKU PADA PERUSAHAAN MANUFAKTUR DI INDONESIA Niken Wulandari; Andi Fahmi Lubis
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 1 (2019): page 01 - 93
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i1.119

Abstract

Abstract : Regardless the benefits of imported inputs, uncertainties in foreign markets and highly sunk inisial costs (e.g. cost of searching foreign suppliers), become a barrier to entry for most of firm and causing persistent to use the imported input. However, the sunk cost entry give the information insentives about import activities for the importer. So, when importers are neighboring in a location, they pottentially induce knowledge spillovers to the other firms. The more importers at that location, the more knowledge is spread, so that it can potentially reduce initial import costs and increase the prospensity to import for other neighbors. This study uses dynamic panel data of Indonesian manufacturing firms from 2007 until 2015, to examine the determinant of decision to import, especially sunk cost and spillovers. The results of the GMM difference estimation indicate that firm who imported last year and two years earlier more likely to import input this year, both for domestic and foreign firms. This study also found a positive correlation between probability of importing input and the number of importer in the same region regardless of their industrial affiliation. However, this finding is limited only to indegenous firm which generated by agglomeration of indegenous importers.Keywords: decision to import, sunk cost of import entry,  spillover, dynamic panel dataAbstrak : Terlepas dari manfaat imported input, ketidakpastian di pasar luar negeri dan biaya inisial yang tinggi dan sunk mencegah sebagian besar perusahaan untuk mengimpor dan menyebabkan perusahaan persisten mengimpor bahan baku.  Namun, sunk cost entry tersebut sarat akan informasi terkait aktivitas impor, sehingga berpotensi menimbulkan knowledge spillover ketika importir berdekatan di satu lokasi tertentu. Semakin banyak importir di lokasi tersebut, semakin banyak informasi yang tersebar, sehingga dapat mengurangi biaya inisial impor dan meningkatkan kecenderungan untuk mengimpor bagi perusahaan lain. Penelitian ini mengunakan data panel dinamis perusahaan manufaktur di Indonesia (2007 - 2015) untuk mempelajari determinan keputusan impor bahan baku, terutama sunk cost entry dan import spillover. Hasil estimasi GMM difference menunjukkan perusahaan yang mengimpor satu dan dua tahun sebelumnya cenderung akan mengimpor bahan baku tahun ini, baik bagi perusahaan domestik maupun asing. Penelitian ini juga menemukan adanya hubungan positif antara keputusan impor dengan jumlah importir yang berada di satu kabupaten baik di industri yang sama maupun berbeda. Namun, temuan tersebut terbatas hanya terjadi bagi perusahaan domestik yang berasal dari aglomerasi importir domestik.Kata kunci: keputusan untuk impor, sunk cost import entry, spillover, data panel dinamis
UPAYA IMPROVEMENT PENGENDALIAN PERSEDIAAN SUKU CADANG DENGAN METODE FIXED TIME PERIOD PADA PT XYZ Sazli Tutur Risyahadi (Universitas IPB - Indonesia); Hanifah Yunan Putri (Universitas IPB - Indonesia)
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 2 (2019): page 94 - 173
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i2.122

Abstract

Abstract  Perusahaan yang memiliki keinginan untuk memenangkan persaingan yang terus meningkat di era globalisasi, perlu terus menerus melakukan perbaikan metode pengendalian persediaan suku cadangnya. Metode existing di perusahaan memiliki beberapa kekurangan seperti belum mempertimbangkan standar deviasi demand dan service level yang dikehendaki oleh perusahaan. Tujuan kajian ini adalah melakukan perbaikan pengelolaan persediaan suku cadang dengan menerapkan model yang memiliki karakteristik pengadaan yang sesuai dengan perusahaan. Model Fixed Time Period (FTP) adalah model yang sesuai karena telah memenuhi karakteristik pengelolaan persediaan di perusahaan seperti pemesanan barang dengan interval waktu yang konstan dan demand yang berfluktuatif. Hasil menunjukkan bahwa jumlah pemesanan pada suku cadang bandsaw dengan menggunakan metode existing perusahaan di tahun 2018 selalu lebih tinggi quantity ordernya dibandingkan dengan menggunakan metode FTP. Berbeda dengan suku cadang bandsaw, suku cadang thermoc, jumlah order dengan metode FTP tidak selalu lebih rendah; bahkan metode FTP seringkali lebih tinggi atau pun sama quantity ordernya pada tahun 2018.  Kata Kunci: Analisis ABC, Metode Fixed Time Period, Manajemen Inventori The company that has the desire to winning the increasing competition in the era of globalization need to improve the method of spare parts inventory control continually. Existing approaches in companies have several disadvantages such as not considering the standard deviation of demand and service level desired by the company. The purpose of this study is to improve the management of spare parts inventories by implementing a model that have right characteristics that are in line with the company. The Fixed Time Period (FTP) model is an appropriate model because it has fulfilled the characteristic of inventory management in companies such as ordering goods with constant time intervals and fluctuating demand. The results show that the number of orders on bandsaw parts using the existing company method in 2018 always has a higher order quantity than using the FTP method. Unlike bandsaw parts, thermoc parts, the number is not still lower; even the FTP method was often higher or equal to the order quantity in 2018. Keywords: ABC Analysis, Fixed Time Period Methods, Inventory Management

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All Issue Vol. 10 No. 1 (2026): 10 original research articles, were authored/co-authored by 38 authors from 3 Vol. 9 No. 2 (2025): 10 original research articles, were authored/co-authored by 33 authors from 2 c Vol. 9 No. 1 (2025): 6 original research articles, were authored/co-authored by 16 authors from 1 co Vol. 8 No. 2 (2024): 8 original research articles were authored/co-authored by 29 authors from 1 cou Vol. 8 No. 1 (2024): 8 original research articles were authored/co-authored by 29 authors from 1 cou Vol 8, No 1 (2024): May 2024 inpress publication Vol 7, No 2 (2023): page 205 - 353 Vol. 7 No. 2 (2023): 10 original research articles were authored/co-authored by 35 authors from 1 co Vol. 7 No. 1 (2023): 14 original research articles were authored/co-authored by 41 authors from 1 co Vol 7, No 1 (2023): page 01 - 204 Vol 6, No 2 (2022): page 177- 308 Vol. 6 No. 2 (2022): 10 original research articles were authored/co-authored by 41 authors from 3 co Vol. 6 No. 1 (2022): 10 original research articles were authored/co-authored by 40 authors from 4 co Vol 6, No 1 (2022): page 01 - 176 Vol. 5 No. 2 (2021): page 75 - 217 Vol 5, No 2 (2021): page 75 - 217 Vol 5, No 1 (2021): page 01 - 74 Vol. 5 No. 1 (2021): page 01 - 74 Vol 4, No 2 (2020): page 84 - 168 Vol. 4 No. 2 (2020): page 84 - 168 Vol. 4 No. 1 (2020): page 84 - 95 Vol 4, No 1 (2020): page 84 - 95 Vol 3, No 2 (2019): page 94 - 173 Vol. 3 No. 2 (2019): page 94 - 173 Vol. 3 No. 1 (2019): page 01 - 93 Vol 3, No 1 (2019): page 01 - 93 Vol. 2 No. 2 (2018): page 106 - 205 Vol 2, No 2 (2018): page 106 - 205 Vol 2, No 1 (2018): page 03 - 103 Vol. 2 No. 1 (2018): page 03 - 103 Vol 2, No 2 (2018): November 2018 (in press) Vol 2, No 1 (2018): page : 03-95 Vol 1, No 2 (2017): page 94 - 216 Vol. 1 No. 2 (2017): page 75 - 208 Vol 1, No 2 (2017): page 75 - 208 Vol 1, No 1 (2017): page 01 - 93 Vol. 1 No. 1 (2017): Page 1-74 Vol 1, No 1 (2017): Page 1-74 More Issue