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All Journal JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK INVENTORY : Industrial Vocational E-Journal On Agroindustry Journal Serambi Engineering (JSE) Prosiding Seminar Nasional Manajemen Industri dan Rantai Pasok
Juli Astuti
Politeknik APP Jakarta
Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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EVALUASI PEMILIHAN PENYEDIA JASA KURIR BERDASARKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Juli Astuti; Erika Fatma
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 1, No 1 (2017): Page 1-74
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.346 KB) | DOI: 10.30988/jmil.v1i1.3

Abstract

Logistics activity plays an important role in the business process where there is a distribution process to deliver product from the manufacturer / seller to the consumer. Nowadays there are many companies that provide logistics services with its own advantages and disadvantages. This condition, gives users more flexibility in determining which courier companies they will use. IN ordr to aid decision makers in selecting the best courier services providers, we conducted a study regarding the criteria used in determining user’s choice by using Analytical Hierarchy Process (AHP). The purpose of this study was to determine the main criteria as user’s consideration for selecting the best logistics service providers. Based on a survey conducted on the online sellers, it is known that the criteria of the key considerations in selecting a courier service is Reliability, the reliability of a courier company in serving the needs and desires of its customers, followed by cost and convenience
Komparasi Metode Regresi Linier, Exponential Smoothing dan ARIMA Pada Peramalan Volume Ekspor Minyak Kelapa Sawit di Indonesia Trisna Yuniarti; Juli Astuti; Irfan Rusmar; Ika Widiana; Fajar Ciputra Daeng Bani
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol 3, No 1 (2022): Published in June 2022
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v3i1.74

Abstract

This study aims to compare several methods to get the best methods on forecasting the volume of Indonesian palm oil exports. In addition, this study also aims to estimate the volume of Indonesian palm oil exports for the next five years. Some of the forecasting methods used in this study are linear regression, exponential smoothing, and ARIMA. The data used is historical data on the volume of palm oil exports from 1981 to 2020. The results of calculations and analysis show that the exponential smoothing model of the damped trend method produces the smallest error value compared to other methods, the MAD value is 860,353, the MSE value is 1,707,738,707,222, the RSME value is 1,306,805, and the MAPE value is 20.6%. This method has chosen to be the best forecasting method for the next five years. The forecast results obtained that the volume of Indonesian palm oil exports for the next five years are28.864.223,31 tons, 28.967.062,92 tons, 29.064.976,80 tons, 29.158.200,89 tons, and 29.246.959,81 tons.
Pendekatan Text Mining dalam Menilai Sentimen Publik pada Baterai Kendaraan Listrik Trisna Yuniarti; Juli Astuti; Firdhani Faujiyah; M. Zaiyar
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The use of technology and information in the Industry 4.0 era has been widely used to extract information from textual data patterns. The development of technology and the availability of big data from various platforms can provide valuable insights and facilitate better decision making. In this study, we aim to extract information and obtain the main topics of public sentiment on electric vehicle batteries. The data source is obtained from the results of comments or tweets on X social media. A total of 1,302 texts were processed using text mining techniques in the orange data mining application. This technique consists of several stages of text processing, namely transformation, filtering and tokenisation. The results of the text processing are extracted by word cloud to find the characteristics of words that are often discussed by the community. Next, sentiment analysis is performed to find out people's opinions about electric vehicle batteries based on positive, negative and neutral categories. Finally, topic modelling is performed using LDA to identify the topics discussed in each sentiment category. The results showed that public opinion was divided into three categories: 37% positive, 42% neutral and 21% negative. A frequently discussed topic in relation to electric vehicle batteries is the word feature nickel. Topic modelling produces five main topic categories that are frequently discussed by the public.
Data Mining Modeling in Clustering Car Products Sales Data in the Automotive Industry in Indonesia Juli Astuti; Trisna Yuniarti
Jurnal Manajemen Industri dan Logistik Vol. 7 No. 2 (2023): 10 original research articles were authored/co-authored by 35 authors from 1 co
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v7i2.1258

Abstract

The research aims to build a model based on sales data for all automotive products in Indonesia using data mining with a k-means approach. This study uses automotive product sales data from January 2017 to September 2022. The lowest Davis-Bouldin index shows that three clusters (k=3) have the best performance. Based on the clustering results, 92% of the items are in cluster 0, 1% in cluster 1, and 7% in cluster 2. In addition, the clustering results show that cluster 1 is a car product with high sales volume. Cluster 2 is a car product with medium sales volume. Furthermore, cluster 0 is a car product with low sales volume. Business people or related parties can use data visualization and extraction from clustering results to learn the latest insights and information in determining business strategies, policies, and decisions to improve business competitiveness.
EVALUASI PEMILIHAN PENYEDIA JASA KURIR BERDASARKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Juli Astuti; Erika Fatma
Jurnal Manajemen Industri dan Logistik Vol. 1 No. 1 (2017): Page 1-74
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v1i1.3

Abstract

Logistics activity plays an important role in the business process where there is a distribution process to deliver product from the manufacturer / seller to the consumer. Nowadays there are many companies that provide logistics services with its own advantages and disadvantages. This condition, gives users more flexibility in determining which courier companies they will use. IN ordr to aid decision makers in selecting the best courier services providers, we conducted a study regarding the criteria used in determining user's choice by using Analytical Hierarchy Process (AHP). The purpose of this study was to determine the main criteria as user's consideration for selecting the best logistics service providers. Based on a survey conducted on the online sellers, it is known that the criteria of the key considerations in selecting a courier service is Reliability, the reliability of a courier company in serving the needs and desires of its customers, followed by cost and convenience
Alternatif Perencanaan Produksi Agregat Dengan Biaya Minimum Untuk Mendukung Kontinuitas Rantai Pasok Pada Pt. MNO Hendi Dwi Hardiman; Juli Astuti; Amrin Rapi
Prosiding Seminar Nasional Manajemen Industri dan Rantai Pasok Vol. 1 (2020): Prosiding Seminar Nasional Manajemen Industri dan Rantai Pasok 1st, Jakarta 2020
Publisher : Politeknik APP Jakarta

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Abstract

ABSTRAK Perencanaan agregat merupakan perencanaan mengenai jumlah tenaga kerja dan tingkat produksi. Rencana produksi agregat merupakan pedoman yang digunakan untuk melaksanakan kegiatan produksi. Rencana produksi agregat yang baik adalah rencana yang secara menyeluruh dapat menyeimbangkan antara kapasitas yang dimiliki oleh perusahaan dengan kebutuhan pasar sehingga berdampak minimum terhadap biaya. Banyak model yang dapat dikembangkan untuk menyusun rencana produksi agregat ini, khusus untuk PT MNO, karena sifat produksinya adalah make to stock, maka rencana produksi agregat yang dikembangkan berpedoman kepada agregasi produk dan hasil peramalan penjualan. Pola data hasil penjualan menunjukkan kecenderungan meningkat secara linear, sehingga model peramalan regresi linear dapat digunakan untuk meramalkan tingkat penjualan masing-masing tipe produk. Agregasi produk untuk menentukan satuan agregat harus dilakukan terlebih dahulu sebelum menyusun rencana produksi agregat. Karena PT MNO memproduksi 3 (tiga) tipe produk, yaitu FC5Susun, FC3Susun dan  FC1Susun dan menggunakan fasilitas produksi yang sama. Yang menjadi satuan agregatnya adalah yang memiliki waktu penyelesaian produk terbesar, yaitu Tipe Produk FC5Susun. Model rencana produksi agregat yang dikembangkan sehubungan dengan penelitian ini adalah model transportasi (transport shipment) dan model spreadsheet yang didasarkan atas tingkat persediaan nol (zero inventory), dengan serah-susul (backorder), dan tidak dengan serah-susul (no backorder). Hasil perhitungan biaya untuk setiap model rencana produksi agregatnya adalah sebagai berikut: model transportasi (transport shipment) sebesar Rp.5.285668.470,-, model spreadsheet (tingkat persediaan nol/ zero inventory) sebesar Rp.6.114.660.000,-, model spreadsheet (dengan serah-susul/ backorder) sebesar Rp.6.477.379.181,-, dan model spreadsheet (tidak dengan serah-susul/ no backorder) sebesar Rp.6.620.767.677,- Sedangkan analisis biaya menunjukkan bahwa model transportasi (transport shipment problems) memiliki biaya terkecil, yaitu sebesar Rp.5.285668.470,-. Disarankan agar PT MNO memilih model perencanaan produksi agregat yang memberikan biaya minimum, yaitu model transportasi (transport shipment). Kata kunci: Make to Stock, Regresi Linear, Perencanaan Agregat, Transport Shipment, Spreadsheet, Agregasi Produk.
Analisis Hubungan Kualitas Mahasiswa Baru Terhadap Prestasi Belajar: Studi Kasus Program Studi Manajemen Logistik Politeknik APP Juli Astuti; Bilal Ahmadi
Prosiding Seminar Nasional Manajemen Industri dan Rantai Pasok Vol. 1 (2020): Prosiding Seminar Nasional Manajemen Industri dan Rantai Pasok 1st, Jakarta 2020
Publisher : Politeknik APP Jakarta

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Abstract

ABSTRAK Penelitian ini bertujuan untuk mengetahui hubungan antara kualitas mahasiswa baru yang diterima terhadap prestasi akademik pada program studi Manajemen Logistik Industri Elektronika (MLIE) Politeknik APP. Data yang digunakan adalah nilai hasil seleksi penerimaan mahasiswa baru (PMB) jalur Program Penelusuran Kemampuan Akademik (PPKA) dan tes tulis, serta nilai indeks prestasi kumulatif (IPK) tahun pertama. Metode analisis yang dipakai adalah regresi linear berganda untuk menjelaskan korelasi antara nilai PMB dengan IPK. Hasil analisis menunjukkan bahwa korelasi antara nilai PMB dengan IPK mahasiswa bernilai signifikan meski nilai koefisien determinasi tidak terlalu besar (di bawah 0,4). Hal ini menandakan bahwa terdapat faktor lain yang lebih dominan dalam mempengaruhi nilai IPK mahasiswa selain faktor kemampuan awal yang dimiliki. Berdasarkan hasil tersebut perlu dilakukan kajian terhadap aspek selain kualitas mahasiswa baru yang lebih dominan dalam mempengaruhi prestasi akademik mahasiswa di program studi MLIE.Kata kunci: prestasi akademik, kualitas mahasiswa baru, regresi linear berganda  ABSTRACT This study aims to determine the relationship between the quality of new students accepted on academic achievement in the Electronics Industry Logistics Management (MLIE) study program, Polytechnic APP. The data used are the results of the selection of new student admissions (PMB) through the Academic Ability Tracing Program (PPKA) and written tests, as well as the first year's cumulative grade point average (GPA). The analytical method used is multiple linear regression to explain the correlation between the PMB values and the GPA. The results of the analysis show that the correlation between the PMB score and the student's GPA is significant even though the coefficient of determination is not too large (below 0.4). This indicates that there are other factors that are more dominant in influencing students' GPA scores besides the initial ability factors. Based on these results, it is necessary to study aspects other than the quality of new students which are more dominant in influencing student academic achievement in the MLIE study program.Keywords: academic achievement, quality of new students, multiple linear regression     
Co-Authors Amrin Rapi Bilal Ahmadi Fajar Ciputra Daeng Bani Fatma, Erika Firdhani Faujiyah Hendi Dwi Hardiman Ika Widiana Irfan Rusmar M. Zaiyar Trisna Yuniarti