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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) EMITTER International Journal of Engineering Technology InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Tekno Insentif Jurnal Sistem Cerdas Jurnal SITECH : Sistem Informasi dan Teknologi Competitive Merpati Competitive
Syafrial Fachri Pane
Politeknik Pos Indonesia
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Transportation

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K Means Clustering and Meanshift Analysis for Grouping the Data of Coal Term in Puslitbang tekMIRA Rolly Maulana Awangga; Syafrial Fachri Pane; Khaera Tunnisa; Iping Supriana Suwardi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.8910

Abstract

Indonesian government agencies under the Ministry of Energy and Mineral Resources have problems in classifying data dictionary of coal. This research conduct grouping coal dictionary using K-Means and MeanShift algorithm. K-means algorithm is used to get cluster value on character and word criteria. The last iteration of Euclidian distance calculation data on k-means combine with Meanshift algorithm. The meanshift calculates centroid by selecting different bandwidths. The result of grouping using k-means and meanshift algorithm shows different centroid to find optimum bandwidth value. The data dictionary of this research has sorted in alphabetically.
Qualitative Evaluation of RFID Implementation on Warehouse Management System Syafrial Fachri Pane; Rolly Maulana Awangga; Bayu Rahmad Azhari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.8400

Abstract

Logistic sector actors need innovation to improve competitiveness in providing their best services to consumers, one of them on Warehouse Management System (WMS) because the system is used to control the movement of the supply chain. There is a problem in one of Indonesia logistics companies on the process of selecting goods, so the warehouseman still difficulties in this process. Thus, RFID implementation on WMS becomes one of the solutions to handle the goods selection process. This research uses Design Science Research Methodology (DSRM) which focuses on developing and improving the model performance of a system and using waterfall model for system development. Then the authors will analyze the test results with the validity test and reliability test of the questionnaire, and the results of the data analysis will determine the feasibility of this research to be applied.
Mapping log data activity using heuristic miner algorithm in manufacture and logistics company Syafrial Fachri Pane; Rolly Maulana Awan; M. Amran Hakim Siregar; Dinda Majesty
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 3: June 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i3.18153

Abstract

Strategies for the procurement of goods and services are essential for companies in Indonesia's manufacturing and logistics sectors. The solution to reducing the existing problem is to make a mapping plan, such as verifying documents from each department, so that it takes a long time, resulting in many issues, such as procedural misuse findings. Heuristics miner algorithms get data to form logs that consist of goods and services procurement activities. Processing log data into XML data (data extraction), which produces a dependency model and business and casual matrix (discovery process), then determines the value of fitness and precision (suitability) called the conformity checking phase process. This phase aims to produce a new business (process enhancement phase), which will create a solution to the risk of delay and procedural abuse. The results of each of these processes rank each stage of the procurement of goods and services sequentially and together to provide time-efficient and accurate decisions, resulting in project implementation comparable to the company's business strategy. Implement the heuristics miner algorithm using the Python programming language.
RFID-based conveyor belt for improve warehouse operations Syafrial Fachri Pane; Rolly Maulana Awangga; Bayu Rahmad Azhari; Gilang Romadhanu Tartila
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11767

Abstract

The Government of the Republic of Indonesia is currently focusing on building logistics infrastructure to facilitate the distribution of logistics to all regions in Indonesia. The Distribution of logistics to each area requires an electronically connected warehouse so that information about goods in the warehouse can be monitored continuously. There are some problems with one of the logistics companies because the existing warehouse management technology is not sufficient enough, so the complex warehouse functions do not become dynamic. One of the solutions to solve the problem need to use RFID technology, conveyor belt, and robotic arm by using an Arduino microcontroller. This research uses Design Science Research Methodology which focuses on developing and improving the model performance of a system and using the prototyping model for system development. The test results state that the built system works well because it could lift, identify and sort goods by type. So, this research could answer the problem that happened at the warehouse.
Implementation of web scraping on github task monitoring system Rolly Maulana Awangga; Syafrial Fachri Pane; Restiyana Dwi Astuti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11613

Abstract

Evolution of information and technology increasingly sophisticated, also influential in the field of education. One of the implementation of information and technology development in the field of education is e-learning or electronic learning. GitHub social network can be one of the e-learning media in studying software development because GitHub provides access control The number of contributors who commits or change in a repository to make the duration of the calculation process to fill the parameter value that has been determined. Based on the issue, this research aims to build a page capable of integrating information from the GitHub repository page. Integration of information will be made by utilizing web scraping technology. With a web page that integrates information from the GitHub repository page to get repository, collaborators, commits, and issues information, the lecturer does not need to calculate how often the participant contributes to the task.
MILA: Low-cost BCI framework for acquiring EEG data with IoT Rolly Maulana Awangga; Syafrial Fachri Pane; Dzikri Ahmad Ghifari; Tri Angga Dio Simamora; Mochamad Yusuf Asyhari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14884

Abstract

The brain is a vital organ in the human body that acts as the center of the human nervous system. Brain-computer interface (BCI) uses electroencephalography (EEG) signals as information on brain activity. Hospitals usually use EEG as a diagnosis of brain disease. Combining EEG as part of IoT (Internet of Things) with high mobility is challenging research. This research tries to make a low-cost BCI framework for motorcycle riders. Analysis of brain activity from EEG data when motorcycle riders turn left or turn right. Therefore, the method of further installation must produce the right features to obtain precise and accurate brainwave characteristics from EEG signals. This research uses the concept of IoT with software engineering to recording human brain waves so that it becomes a practical device for the wearer. The purpose of this study is to create a low-cost BCI framework for obtaining EEG data.
Collaboration FMADM And K-Means Clustering To Determine The Activity Proposal In Operational Management Activity Rolly Maulana Awangga; Syafrial Fachri Pane; Khaera Tunnisa
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.522 KB) | DOI: 10.24003/emitter.v7i1.317

Abstract

Indonesian government agencies under the Ministry of Energy and Mineral Resources still use manual methods in determining and selecting proposals for operational activities to be carried out. This study uses the Decision Support System (DSS) method, namely Fuzzy Multiple Attribute Decision Decision (Fmadm) and K-Means Clustering method in managing Operational Plan activities. Fmadm to select the best alternative from a number of alternatives, alternatives from this study proposed activity proposals, then ranking to determine the optimal alternative. The K-Means Clustering Method to obtain cluster values for alternatives on the criteria for activity dates, types of activities, and activity ceilings. The last iteration of the Euclidian distance calculation data on k-means shows that alternatives that have the smallest centroid value are important proposal criteria and the largest centroid value is an insignificant proposal criteria. The results of the collaboration of the Fmadm and K-Means Clustering methods show the optimal ranking of activities (proposal activities) and the centroid value of each alternative.
GURILEM : A Novel Design of Customer Rating Model using K-Means and RFM Rolly Maulana Awangga; Syafrial Fachri Pane; Diana Asri Wijayanti
EMITTER International Journal of Engineering Technology Vol 7 No 2 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v7i2.325

Abstract

A rating system or reviews are generally used to assist in making decisions. Rating system widely used as a technique in the recommendation of one of them used by the customer, as in determining the resort to be used. However, the credibility of the rating looks vague because the rating could only represent some points of service. So that customer preference with each other is very different. Personalized recommendation systems offer more personalized advice, precisely knowing the preferences or tastes of the customers. Especially for customers who have a transaction history or reservation as at their resorts provide good information used by managers to design a recommendation model for their customers. In this study aims to create a model of resort recommendations based on a rating of frequency. This frequency is the number of resort use by the customer within the specified time frame. With the frequency can represent the preferences of customers. The RFM method is used to measure the reservation frequency value of the customer. The K-Means method is used to categorize customer data with its frequency and classify the type of resort. Recommendation resort to the customer based on the dominant use in one of the resort types. The recommended type of resort based on the similarity between the types of resorts used with other types of resorts.
Pemodelan Machine Learning : Analisis Sentimen Masyarakat Terhadap Kebijakan PPKM Menggunakan Data Twitter Syafrial Fachri Pane; Jenly Ramdan
Jurnal Sistem Cerdas Vol. 5 No. 1 (2022)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v5i1.191

Abstract

Abstract— In this pandemic era, the government is forced to implement policies that can reduce the daily positive rate of COVID-19. One of these policies is known as PPKM. It is unclear when the pandemic will end, causing data phenomena to be scattered on social media, one of which is Twitter. Therefore, in this study, we conducted an analysis of sentiment originating from tweets from Twitter social media users in the Jakarta area regarding the government's policy, namely PPKM in the face of the COVID-19 pandemic. In this research, we use a Machine Learning approach, namely LSTM. This modeling produces a classification of positive and negative sentiments. The dataset used is 3000 tweets with a time period of September - November 2021. At the preprocessing stage, the data that are ready to be used for modeling are 2176. The results of this study get an accuracy of 0.943. So the model that we propose, namely LSTM, has succeeded in classifying a satisfactory sentiment with a positive number of 92% and a negative 8% of 2176 sentiments, so it can be concluded that the PPKM policy implemented by the Indonesian government in the DKI Jakarta area is said to be effective or positive.
Analisa Profit Dan Loss Pada Sistem Manajemen Aset Dengan Menggunakan Algoritma Multiple Linear Regression Syafrial Fachri Pane; Chandra Kirana Poetra; Rd. Nuraini Siti Fatonah
Jurnal SITECH : Sistem Informasi dan Teknologi Vol 4, No 1 (2021): JURNAL SITECH VOLUME 4 NO 1 TAHUN 2021
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sitech.v4i1.5816

Abstract

Analisa profit dan loss merupakan hal yang dibutuhkan oleh setiap perusahaan dalam menjalankan bisnis yang dijalankannya. Tanpa adanya proses analisa, perusahaan tidak akan bisa memprediksi berapa keuntungan yang didapat. Oleh karena itulah dibuat suatu sistem analisa profit dan loss pada aset yang dimiliki oleh perusahaan yang nantinya akan memberikan gambaran berupa proyeksi keuntungan pada  perusahaan Proses analisa profit ini dilakukan dengan menggunakan data laporan penjualan tahunan dari perusahaan yang nantinya akan di proses dengan metode multiple linear regression. Metode multiple linear regression ini merupakan metode yang sudah teruji dan sering dipakai untuk menganalisis data yang memiliki hubungan satu sama lain.Dalam penerapan metode multiple linear regression, berdasarkan data penjualan perusahaan yang digunakan, dapat disimpulkan bahwa penjualan perusahaan akan untung sebesar 2025.628 atau apabila dibilangkan menjadi dua milliar dua puluh lima juta enam ratus dua puluh delapan ribu rupiah apabila perusahaan mampu memproduksi (X1) barang dalam jumlah dua puluh lima ton dan menjual barang itu tiap ton nya dalam harga(X2) tiga puluh juta.
Co-Authors Alfadian Owen Alit Fajar Kurniawan Amri Yanuar Asyhari, Mochamad Yusuf Bayu Rahmad Azhari Cahya Kurniawan Chandra Kirana Poetra Cokro Edi Prawiro Diana Asri Wijayanti Dinda Majesty Dzikri Ahmad Ghifari Esi Vidia Rahcmadani Gilang Romadhanu Tartila I Made Yadi Dharma Iping Supriana Suwardi Jenly Ramdan Khaera Tunnisa, Khaera M. Amran Hakim Siregar Maulyanda, Maulyanda Muhammad Ruslan Maulani Muhammad Yusril Helmi Setyawan Prianto, Cahyo Rd. Nuraini Siti Fatonah Restiyana Dwi Astuti Rolly Maulana Awan Rolly Maulana Awangga, Rolly Maulana Seta Permana Tri Angga Dio Simamora