Claim Missing Document
Check
Articles

Found 18 Documents
Search

Prediksi Harga Saham Indonesia pada Masa Covid-19 Menggunakan Regresi Pohon Keputusan Rina Nopianti; Andreas Tri Panudju; Angrian Permana
Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Vol 6, No 1 (2022): Jurnal Ecodemica: Jurnal Ekonomi, Manajemen dan Bisnis
Publisher : LPPM Universitas BSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.204 KB) | DOI: 10.31294/eco.v6i1.11365

Abstract

Stock price prediction is an interesting area of data mining. Many variables affect stock prices. Stock prices fluctuate, especially in the Covid-19 era which has an impact on the economy. This study aims to predict the stock price of Indonesian telecommunications, especially in the covid19 era. The object of this research is the financial statements of companies listed on the Indonesia Stock Exchange, where data related to stock prices of telecommunications companies are used as samples in the data processing of this study. In this study, the regression techniques that will be used are Multiple Linear Regression, Support Vector Regression, Decision Tree Regression, and K-Nearest Regression. The results showed that the fundamental data and stock prices have a relationship. High correlation coefficient resulted from Decision Tree Regression and K-Nearest Regression. Decision Tree Regression produces good results on the Train Test Split and KFold Cross Validation data, 2.99% and 2.98% repeatedly. It can conclude that despite the fact that the pandemic scenario has had a significant impact on the stock market, the study's findings suggest that fundamental data and stock prices have a relationship. Decision Tree Regression and K-Nearest Regression both produced high correlation coefficients.  Keywords: Stock Price, Prediction, Decision Tree, Regression, COVID-19
MENGURANGI UNCERTAINTY DI INDUSTRI KONSTRUKSI OFF-SHORE DENGAN PENDEKATAN THE LAST PLANNER SYSTEM (KAJIAN DI PT. XYZ) Listiawati Listiawati; Andreas Tri Panudju; Fitri Fauziah
JISI: Jurnal Integrasi Sistem Industri Vol 3, No 2 (2016): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.3.2.%p

Abstract

The field of decision-making in lean environment was not studied enough, and that inspired us to run more precise investigation in that area. Nowadays, with the implementation of lean in numerous companies all over the world, it is important to understand not only the truisms of lean, but also what impact does it have on sub processes of activities of the organization. As it is known, decisions are made by human and that means those decisions are influenced by many human factors. One of those factors is biases and framing effects, that had been closely studied by Noble prize winner Daniel Kahneman and his co-author Amos Tversky. They studied those effects from a point of view of economical psychology, yet not going into details. We took their work as a basis for our study of human biases and decision-making under uncertainty in off-shore industry. In this thesis, we try to take a closer look into three theories (lean planning, lean information flows and information in supply chain and decision-making under uncertainty). We connect them in order to achieve an understanding of how those aspects of organization’s activities are connected and how they influence on each other. This study was performed with two main goals in mind. The first goal was on one hand to understand and identify the main sources of uncertainty in the engineering process; and on the other hand to identify the main human biases that affect the decisions made in the engineering process. The second goal was to see the theoretical aspects of decision-making through the process of lean planning and lean information flows implementation and to identify ways to reduce the impact of the human bias on the decisions made.Results of this thesis are lean knowledge not sufficient, uncertainty can be handled better with lean, and overall improvement not enough. Human biases exist in engineering department are availability bias, representativeness bias, reliability bias and anchoring bias.To minimize the effect of biases can be done through multi process which involved many parties, such as six thinking hats technique, the premortem technique, checklists and memos. Besides that lean planning and the last planner system in the engineering process make the process having better certainty. Be on time, adapt to customer demand, inter-department coordination and information flow in general have been improved 25% after applied lean planning.Future research can be much more focus on evaluation and the way to handle human biases. Keyword: Human Bias, Lean Planning, The Last Planner System, decision making, uncertainty.
ANALISIS PENERAPAN KONSEP PENYEIMBANGAN LINI (LINE BALANCING) DENGAN METODE RANKED POSITION WEIGHT (RPW) PADA SISTEM PRODUKSI PENYAMAKAN KULIT DI PT. TONG HONG TANNERY INDONESIA SERANG BANTEN Andreas Tri Panudju; Bambang Setyo Panulisan; Euis Fajriati
JISI: Jurnal Integrasi Sistem Industri Vol 5, No 2 (2018): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.5.2.69-80

Abstract

PT. Tong Hong Tannery Indonesia merupakan perusahaan yang bergerak dalam bidang industri penyamakan kulit asli yang berada di wilayah Banten. Adanya stasiun kerja yang sibuk dan waktu menganggur, lalu waktu tunggu yang tinggi dan operator yang menganggur karena beban kerja yang tidak teratur, maka konsep keseimbangan lini perlu dilakukan untuk  mencapai tujuan perusahaan. Tujuan dari penelitian ini adalah untuk menentukan jumlah stasiun kerja yang optimal. Metode penelitian yang digunakan adalah metode kualitatif data, dengan teknik pengumpulan datanya adalah dengan penelitian lapangan (field research), dan observasi. Berdasarkan perhitungan yang sudah dilakukan dalam perhitungan ranked positional weight ini diketahui dalam proses penyamakan kulit terdiri atas empat stasiun kerja. Dari hasil perhitungan yang sudah dilakukan dengan metode ranked position weight (RPW) ini dapat diketahui kecepatan operasi terlambat adalah operasi C sebesar 6,42 menit sehingga dijadikan waktu siklus pada metode ini. Kemudian 1 lintasan dengan kapasitas produksi sebesar 6502 unit per tahun. Hasil untuk efesiensi lini yaitu, 89,29% menyatakan bahwa rasio dalam membuat rangkaian kegiatan perakitan dalam stasiun kerja memiliki persentase yang baik. Kemudian hasil yang didapat pada balance delay menyatakan bahwa dalam mengatur kegiatan perakitan pekerjaan di dalam stasiun kerja sebesar 10,71% tidak merata sedangkan dalam smoothness index hasil yang didapat adalah 1,98 menit
PENGUKURAN KINERJA PERUSAHAAN MENGGUNAKAN METODE BALANCED SCORECARD (BSC) DENGAN PEMBOBOTAN ANALYTICAL HIERARCHY PROCESS (AHP) DI PT. ABC, TBK Andreas Tri Panudju; Andi Hasryningsih Asfar; Fitri Fauziah
JISI: Jurnal Integrasi Sistem Industri Vol 3, No 2 (2016): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.3.2.%p

Abstract

Balanced Scorecard (BSC) merupakan salah satu metode pengukuran kinerja perusahaan  yang meninjau kinerja perusahaan  tidak hanya dari sisi keuangan, namun juga dari sisi non keuangan. Penelitian ini bertujuan untuk mengetahui sistem pengukuran kinerja (SPK) PT. ABC, Tbk yang meliputi perspektif keuangan, pelanggan, proses bisnis internal, serta pembelajaran dan pertumbuhan. Pembobotan   elemen-elemen   yang   terdapat   dalam   pengukuran   kinerja dilakukan dengan menggunakan metode Analytical Hierarchy Process (AHP) dengan bantuan sofware Expert Choice. Dengan demikian, diharapkan PT. ABC, Tbk dapat  mengetahui dengan tepat prioritas perbaikan yang harus dilakukan. Hasil penelitian ini adalah pada perspektif proses bisnis internal merupakan perspektif terpenting dari perspektif-perspektif yang lain, hal ini ditunjukkan dengan perspektif proses bisnis internal mempunyai bobot terbesar yaitu sebesar 0,350. Hal ini berarti PT. ABC, Tbk lebih memfokuskan pada meningkatkan bisnis internal, meningkatkan kualitas produk dan efektivitas operasi dalam menghasilkan produk serta pengembangan jaringan rantai pasok. Pada perspektif pelanggan dengan bobot 0,292 dengan fokus pada peningkatan pangsa pasar kemudian baru diikuti dengan menurunkan keluhan pelanggan. Pada perspektif pembelajaran dan pertumbuhan dengan bobot 0,235 lebih memfokuskan pada meningkatkan kemampuan karyawan kemudian baru diikuti dengan meningkatkan produktivitas karyawan. Pada perspektif keuangan yang merupakan perspektif dengan bobot terkecil yaitu sebesar 0,123 fokusnya merata pada peningkatan keuntungan perusahaan, peningkatan efisiensi dan efektivitas aset, serta pertumbuhan penjualan. Kata kunci: Analytical Hierarchy Process,  Balance  Scorecard  (BSC), Kinerja,pembobotan.
PERANCANGAN MODEL SISTEM PENILAIAN KINERJA DENGAN METODE HUMAN RESOURCES SCORECARD DAN ANALYTICAL HIERARCHY PROCESS (AHP) Andreas Tri Panudju; Mutmainah Mutmainah; Umi Marfuah
Prosiding Semnastek PROSIDING SEMNASTEK 2017
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Saat ini sudah tidak dapat dipungkiri lagi bahwa sumber daya manusia yang handal menjadi kunci dalam persaingan perguruan tinggi global, tidak terkecuali dengan jurusan Fakultas Teknik Universitas Muhammadiyah Jakarta (FT UMJ). Permasalahan yang terjadi adalah berdasarkan analisa pendahuluan yang telah dilakukan diketahui Fakultas Teknik Universitas Muhammadiyah Jakarta (FT UMJ) belum memiliki Sistem Penilaian Kinerja Dosen/ Karyawan. Penelitian ini bertujuan untuk merancang sebuah Sistem Penilaian Kinerja Dosen/ Karyawan, khususnya melalui pengembangan model Sistem Penilaian Kinerja Dosen/ Karyawan berbasis Human Resources Scorecard dan Profile Matching yang berbasis Web. Target khusus penelitian ini dilakukan dengan tujuan untuk mengidentifikasi dan menganalisis kebutuhan untuk mengimplementasikan model model Sistem Penilaian Kinerja Dosen/ Karyawan berbasis Human Resources Scorecard. 
ANALISIS KORESPONDENSI ORDINAL UNTUK MENGEVALUASI TINGKAT KEPUASAN KONSUMEN Tia Fitria Saumi; Andreas Tri Panudju
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 2, No 1 (2020)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (227.651 KB) | DOI: 10.32493/sm.v2i1.4209

Abstract

Analisis korespondensi ordinal merupakan sebuah analisis multivariat untuk memetakan tingkat kepuasan produk atau tingkat pelayanan jasa dalam sebuah grafik. Analisis ini mengkombinasikan penguraian singular dari analisis korespondensi klasik dan polynomial orthogonal melalui penguraian momen bivariate. Penggabungan kedua fitur tersebut berfungsi untuk mengakomodasi struktur urutan dalam skala ordinal, sehingga informasi dari variabel-variabel ordinal tersebut dapat diukur.
Value Creation dengan Penerapan Prinsip-Prinsip Lean Manufacturing dalam Accounting Rina Nopianti; Andreas Tri Panudju; Umi Marfuah
Owner : Riset dan Jurnal Akuntansi Vol. 3 No. 1 (2019): Owner Vol 3 No. 1, Periode Februari 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (775.843 KB) | DOI: 10.33395/owner.v3i1.86

Abstract

In many cases, some conventional accounting practices are no longer compatible with the complex manufacturing environment. The proposed this research is to inspire a systems thinking theory and a value chain management, building a business model that prioritizes customers. The objective of this paper is to find out how accounting techniques can optimize of resource utilization wihich would lead in creating value. The second objective is to minimize the lack of conventional accounting using the accounting method that appears. The method in this shis paper is a qualitative research by considering the inductive method designed as a single case study. Empirical data is used based on classic single case control studies that embedded designs including survey data, academic papers theoretical reviews, data collection from interviews, annual reports and documents collected from case companies. The research found that the management accounting system could be integrated in the framework of Just in Time (JIT) + Total Cost (TC) + Time Driven- Activity Based Costing (TD-ABC) + Balance Scorecard (BSC) to develop lean accounting. The utilization of resource is optimized after non-value added activities are eliminated.
Development of Financial Management and Production Process for Bag Craft SME Workers in Serang Regency Andreas Tri Panudju; Rina Nopianti; Mochamad Fahru Komarudin; Leni Triana; Prastika Tjeng Suwandi
Jurnal Pengabdian Masyarakat Formosa Vol. 2 No. 2 (2023): April 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmf.v2i2.3833

Abstract

The development of SMEs through a business empowerment approach needs to pay attention to social and cultural aspects in each region. Based on the analysis of the needs of each UKM and the agreement between the service team and the partner UKMs, the target to be achieved in implementing the service program in the context of solving partner problems is how to improve bookkeeping including aspects of inventory lists, initial balance sheets, diaries, purchase books, books sales, book inventory, calculate profit and loss, make a final balance sheet and be able to calculate the cost of production per unit based on orders or other products, add product types and diversify product designs, and procure machinery ergonomic sewing for SME partners.
Analysis of Fabric Raw Material Inventory Control in Backpack Products Using the Material Requirements Planning (MRP) Method at CV. Metassa Collection Wiwik Sudarwati; Andreas Tri Panudju
Formosa Journal of Science and Technology Vol. 2 No. 8 (2023): Agustus 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v2i8.5622

Abstract

Inventory of raw materials is an important factor in the company so that the supply of raw materials in CV. Metassa Collection must be sufficient to guarantee the needs for the smooth running of production activities. The purpose of this study is to determine the supply of raw materials with the Material Requirements Planning method. The method used is Material Requirement Planning (MRP). In calculating the MRP, the methods used are Lot For Lot and Economic Order Quantity (EOQ). The results of the research on the smallest forecasting calculation using the Linear Regression method with MAD values ​​of 274.52, MSE 114.536, and MADE Based on MRP calculations with the Lot Sizing EOQ method produce a total cost of Rp. 2,811,032,000. The minimum ordering of raw materials using the EOQ method for controlling raw material inventory at CV. Metassa Collection.
The quality enhancement system improvement using the ANFIS method for segmentation of lecturer performance Mutmainah, Mutmainah; Marfuah, Umi; Panudju, Andreas Tri
Jurnal Ekonomi Modernisasi Vol. 19 No. 2 (2023)
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jem.v19i2.8419

Abstract

Lecturers play a crucial role in developing skilled human resources. Classifying lecturer performance is believed to enhance the internal quality assurance system in the learning process and boost the scientific transformation process for students. This research aims to assess the effectiveness of using ANFIS as a classification approach for evaluating a lecturer's teaching ability. The study utilized a quantitative research method to evaluate the teaching performance of lecturers and a qualitative research method to analyze the internal quality assurance system at Universitas Muhammadiyah Jakarta. This study intends to use ANFIS to analyze instructor performance and pinpoint opportunities for enhancement in the college's internal quality assurance system. The study's findings suggest that ANFIS is an appropriate method for categorizing lecturers' performance, with an accuracy rate of 0.5. The insights can help pinpoint areas for development and guide actions to enhance the quality of education offered by the college. The study highlights the importance of using sophisticated approaches such as ANFIS to achieve continuous improvement and quality assurance in higher education institutions.