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JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK

JMIL
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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 282 Documents

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BALANCE SCORECARD DALAM ANALISIS KINERJA KOPERASI (Studi Kasus pada Koperasi Unit Desa (KUD) Bayongbong Kabupaten Garut, Jawa Barat) Gijanto Purbo Suseno; Nataliningsih Nataliningsih; Nuni Wahyuni
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 2, No 2 (2018): page 106 - 205
Publisher : Politeknik APP Jakarta

Village Unit Cooperative (KUD) Bayongbong Garut Regency, Wes Java, is a livestock cooperative whose business activities are multi purpose. The purpose of cooperatives is to improve the welfare of members in particular and society in general, in accordance with the interests and needs of its members. The purpose of this study is to measure the performance of cooperatives by using Balanced Scorecard and efforts to be done so that cooperatives can improve its performance. Balanced Scorecard is a rapid measurement and control management system, precise and comprehensive, consisting of four perspectives: financial, customer, internal business processes and learning and growth. The results showed that the non-financial perspective of internal business consisting of livestock food business, cooperation business with State Electricity Company (PLN), Convenience Store, have a better perspective with score score 372, compared with other perspective that is customer perspective with value 832 and growth learning perspective with score 492. Suggestions that can be submitted are independent KUD Bayongbong must be able to improve service for customers and employee satisfaction, provide adequate information system and provide learning or training for its employees

PERBANDINGAN LOGISTIC PERFORMANCE INDEX (LPI) DAN PURCHASING MANAGER’S INDEX (M-PMI) DALAM MENGEVALUASI KINERJA LOGISTIK INDONESIA SUBEKTI SUBEKTI; DEVI JAYAWATI
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 1, No 1 (2017): Page 1-74
Publisher : Politeknik APP Jakarta

The effectiveness of Logistics system is the main pillar for national industry and trade development and also for foreign investment attractiveness. Logistics performance at the macro or national level is evaluated using LPI (Logistics Performance Index) that issued by the World Bank. Beside that, the other one of economic indicators is M-PMI (Manufacturing Purchasing Managers Index) that evaluates the economic development of a country whether there is an increasing of the level of production, delivery of goods by the supplier, and inventory levels in the processing industry. This study fills a gap in assessing the relationship between LPI dan M-PMI. This study discusses the three things, firstly the condition of LPI Indonesia and the potential for improvement, secondly conditions M-PMI Indonesia 2013 - 2015, and thirdly, the relationship between M-PMI and LPI which analyze the impact of the changes of LPI values to the value of M-PMI. We use comparative analysis qualitatively. From the data analysis of LPI value in 2014 it shows that compared to the other ASEAN countries, Indonesia still needs a lot of improvement in customs clearance and delivery components. From the M-PMI curve it shows that when Indonesia’s LPI is 2,94 in 2012 the value of Indonesia’s M-PMI fluctuate with variation of 2.29. Meanwhile, when Indonesia’s LPI is 3.08 in 2014, the value of the Indonesia’s M-PMI more stable with a variation of 1, 69. We can conclude that the condition M-PMI will be more stable when the LPI is higher, but the movement of M-PMI was not significantly affected by LPI itself but rather on economic conditions, especially the interest rate, purchasing power, and the productivity of the manufacturing industry.

PENENTUAN RUTE KENDARAAN PADA SISTEM DISTRIBUSI LOGISTIK PASCA BENCANA (STUDI KASUS) Andriansyah Andriansyah; Prima Denny Sentia
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 2, No 1 (2018): page 03 - 103
Publisher : Politeknik APP Jakarta

The success indicators of disaster mitigation can be seen from the disaster logistics system. Effective and efficient distribution network can make a good disaster logistics system. The problem that related to the design of this network is the vehicle routing problem. The objective is determined optimal route of relief distribution from warehouse to victims with minimum time duration. The problem is solved by branch and bound, insertion heuristic, and local search algorithms. The results obtained by branch and bound and local search algorithm are optimal global. Time duration of vehicle using these algoritm is 1.0562 hours. However, computation time using branch and bound algorithm is very long until 22 hours while local search algorithm only takes 60 seconds. The insertion heuristic algorithm also produces a good solution. Time duration of vehicle using this algoritm is 1,1030 hours. This solution is local optimal, but the computation time is very short, only 0.001 seconds.

Strategi Pemasaran dengan menggunakan Analisis SWOT Tanpa Skala Industri Pada PT X Di Jakarta Arie Wicaksono
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 1, No 2 (2017): page 75 - 208
Publisher : Politeknik APP Jakarta

In the business competition that increasingly tight along with the development of new technology that more advanced and modern makes Companies attempted to find the quick and appropriate strategy in marketing products to fulfill industry needs. The development of industrial era that gradually grow in the various fields, especially for heavy equipment industry that need to take a strategy in order to win the competition and to obtain larger market share. This research uses quantitative descriptive research method by describing facts and explaining the situation based on facts and figures data that exist and try to analyze the truth through the data obtained. The analytical method used is SWOT Analysis of TSI (No Industry Scale) using EFAS (external factor analysis) and IFAS (internal factor analysis) analysis. The results of this study indicate that company X in using the SWOT Without Industrial Scale puts the strategy of Strength (S)> Opportunity (O), Strategy Opportunity (O)> Weakness (W), Strength Strategy (S)> Threat (T) and Threat Strategy> Weakness (W), so that this condition that PT X is in position to utilize SO strategy which has highest score value that is = 7.6, followed by strategy ST = 6.6, WO = 6.0 and WT=4.8. From these results, the strategy undertaken by company X is to maintain the brand image strategy and penetrate the market to find a larger market share. Strengthening human resources (HR) needs to be done so that companies can add and train human resources, especially professional technicians.

RANCANG BANGUN DECISION SUPPORT SYSTEM UNTUK PEMILIHAN RUTE PENGIRIMAN PAKET PADA PERUSAHAAN PENYEDIA JASA LOGISTIK Bilal Ahmadi; devi jayawati
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 1, No 2 (2017): page 75 - 208
Publisher : Politeknik APP Jakarta

Traveling Salesman Problem (TSP) is a well-known route optimization problem in which a set of customers is visited only once and all demands are satisfied within single route. Package delivery by a courier company can be considered into this type of problem. While many of the previous research had been conducted, the application of the solutions were limited due to unreal distance measure. This paper developed a decision support system for route optimization using free online maps from Google and Google Maps Application Programming Interface (API). Genetic Algorithm was employed to generate solutions within relatively short time. Furthermore, the solutions was viewed as a function of distance and time. There were some limitations from Google in case of acquiring distance data with the free of charge mechanism. Future research can tackle this backdraw by putting more customer points. Other heuristic methods could also be used for comparison purpose

MULTIPLIER EFEK PENINGKATAN INVESTASI SEKTOR INDUSTRI PENGOLAHAN DI KAWASAN INDUSTRI TERHADAP KINERJA SEKTOR PENGANGKUTAN/LOGISTIK Winardi Winardi; Heru Kustanto
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 2, No 2 (2018): page 106 - 205
Publisher : Politeknik APP Jakarta

The manufacturing industry sector is an economic sector that provides the largest contribution to the national economy so that the performance of the manufacturing industry greatly affects overall economic performance. Industrial sector investment is currently required to be located within industrial estates in order to improve efficiency, organize space, manage the environment and optimize the multiplier effects on other economic sectors. This study aims to analyze the multiplier effects of increased investment in the manufacturing industry sector in industrial estate on the performance of the transport/logistics sector. The analysis model uses the Social Accounting Matrix (SAM) Model, which is an effect multiplier analysis. The results of the research show that the increase in investment in the manufacturing industry sector located in the industrial area provides a multiplier effect on improving the performance of the transportation/logistics sector in the form of increased transportation/logistics sector revenues.

ANALISIS DAMPAK COMPONENT COMMONALITY TERHADAP SCHEDULE INSTABILITY PADA SISTEM RANTAI PASOK SEDERHANA Bilal Ahmadi; Dhany Surya Ratana
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 1, No 1 (2017): Page 1-74
Publisher : Politeknik APP Jakarta

This study analyzed the impact of component commonality to schedule instability. Analysis was implemented in the use of component commonality (use of same component in different product structures) in a simple supply chain system which is consist of one manufacturer and two suppliers. Different operational conditions were introduced such as: demand uncertainty, product cost structure, product lead time, product structure and inventory policy that company utilized. The simulation results suggested that common component could reduce schedule instability in both manufacturer and suppliers. Furthermore, the results also indicated that suppliers were the more affected entities due to uncertainty rather than manufacturer

ANALISIS EFEK MUSIM HUJAN DAN KEMARAU TERHADAP HARGA BERAS Kumara Jati
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 2, No 1 (2018): page 03 - 103
Publisher : Politeknik APP Jakarta

This study analyzes the effects of the rainy and dry seasons on rice prices. Autoregressive and Moving Average (ARMA) and Autoregressive Conditional Heteroskedasticity / Generalized Autoregressive Conditional Heteroskedasticity (ARCH / GARCH) with a dummy variable. We used daily data of the stock and the price of rice from January 29, 2014 until January 29, 2018. ARMA (0,1)-ARCH (1) model with dummy variable that is dry season is more influence conditional variance of rice price compared with rainy season dummy variable. Stakeholders need to pay more attention to fluctuations in rice prices, especially in the dry season because rice supply is relatively less and there is only puso harvest.

ANALISIS KUALITAS PELAYANAN DENGAN METODE SERVICE QUALITY (SERVQUAL) DAN IMPORTANCE PERFORMANCE ANALYSIS (IPA) PADA PT. MEDIA PURNA ENGINEERING Heru Winarno; Tb Absor
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 1, No 2 (2017): page 75 - 208
Publisher : Politeknik APP Jakarta

PT. Media Purna Engineering is a company engaged in the field of mechanical maintenance services rotating, hydraulic systems, construction, and piping. PT. Media Purna Engineering has never conducted a measurement of the level of satisfaction of its partner companies so that in improving the quality of service and in overcoming the complaints have not been done properly. The purpose of this study is to improve the quality of service to the satisfaction of partner companies namely PT. Krakatau Steel (Persero) Tbk for the services provided. The research method used is the method of Service Quality (Servqual) and Importance Performance Analysis (IPA) to measure the level of satisfaction and quality of services provided .. Based on research results indicate that the quality of service PT. Media Purna Engineering is good, but there are 1 service quality attribute that still need to be improved or developed from 25 attribute of service quality, that is at the 15th attribute about speed in giving solution. Recommendations for improvement include the introduction of the work area, new workers should always be supervised and supervised, schedule training, constraints please quickly inform Lieder or Supervisor to be quick in providing solutions to overcome them.

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

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)

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