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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) 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.
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.
Analisis Sentimen UU Omnibus Law pada Twitter Menggunakan Metode Support Vector Machine Syafrial Fachri Pane; Alfadian Owen; Cahyo Prianto
InComTech : Jurnal Telekomunikasi dan Komputer Vol 11, No 2 (2021)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v11i2.10874

Abstract

Pada media sosial Twitter semua orang bebas memberikan opini ataupun memberikan tweet yang bermanfaat bagi pengguna media sosial tersebut. Namun dalam memberikan opini masyarakat harus bisa membedakan opini yang positif, negatif, ataupun netral. Permasalahan yang ada adalah belum adanya pemberian sentimen otomatis dalam tema tertentu. Maka dari itu dibuatlah sistem untuk memberikan sentimen secara otomatis agar masyarakat tahu opini yang positif, negatif, dan netral. Dalam analisis sentimen ini dilakukan dengan memanfaatkan machine learning salah satu metodenya adalah Support Vector Machine yang merupakan metode pengklasifikasian supervised learning yang dapat membedakan opini positif, negatif, dan netral dalam penelitian ini, menggunakan Bahasa pemrograman Python, dan menggunakan data yang berasal dari Twitter sebanyak 150. Data tersebut diambil pada tanggal 3 November 2020 sampai 9 November 2020 setelah Omnibus Law disahkan. Penerapan metode Support Vector Machine memiliki tiga tahap yaitu mengambil data opini masyarakat Indonesia tentang UU Omnibus Law dengan melakukan Scraping, lalu dilanjutkan ke tahap Text Preprocessing, dan Feature Extraction. Menghasilkan akurasi sebesar 83% dengan menggunakan teknik K-Fold Cross-Validation sehingga hasil yang didapatkan cukup akurat.
SIREUBOH: KLASIFIKASI DATA LOKASI BARANG MENGGUNAKAN REGION OF INTEREST (ROI) DAN ALGORITMA RANSAC Syafrial Fachri Pane; Rolly Maulana Awangga; Maulyanda Az
Jurnal Tekno Insentif Vol 12 No 2 (2018): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.503 KB) | DOI: 10.36787/jti.v12i2.98

Abstract

Abstrak - Perusahaan yang bergerak pada bidang logistik membutuhkan inovasi untuk meningkatkan daya saing dalam memberikan layanan terbaik mereka kepada konsumen, salah satunya pada Warehouse Management System (WMS) karena sistem tersebut masih kesulitan dalam mencocokkan data lokasi dengan sistem Logistics Execution System (LES) yang dipakai konsumen. sehingga pada bagian operation system management masih kesulitan dalam proses penempatan barang. Penelitian ini menggunakan algoritma RANSAC untuk mengukur keakuratan data lokasi barang pada proses penempatan barang yang sesuai, Region Of Interest (ROI) untuk memperkecil ruang lingkup data lokasi barang. Hasil analisis yang telah dilakukan dengan melakukan pencocokan data WMS dan LES didapatkan nilai persentase sebesar 87% untuk tingkat keakuratan data lokasi barang dengan mengolah 100 sample data lokasi barang yang dimiliki perusahaan. Hasil penelitian ini menunjukkan sangat bermanfaat karena dapat melakukan pencocokan data berdasarkan lokasi barang. Abstract - Companies that are engaged in logistics need innovation to improve competitiveness in providing their best services to consumers, one of which is the Warehouse Management System (WMS) because the system is still having difficulty matching location data with the Logistics Execution System (LES) system used by consumers. so that in the operation system management section there are still difficulties in the process of placing goods. This study uses the RANSAC algorithm to measure the accuracy of item location data in the process of placing the appropriate goods, Region of Interest (ROI) to reduce the scope of the location data of goods. The results of the analysis that have been done by matching WMS and LES data obtained a percentage value of 87% for the level of accuracy of the location data of goods by processing 100 samples of location data of goods owned by the company. The results of this study indicate that it is very useful because it can do data matching based on the location of the item.
Co-Authors Alfadian Owen Alit Fajar Kurniawan Amri Yanuar Asyhari, Mochamad Yusuf Bayu Rahmad Azhari Cahya Kurniawan Chandra Kirana Poetra Cokro Edi Prawiro Dinda Majesty Dzikri Ahmad Ghifari Esi Vidia Rahcmadani Gilang Romadhanu Tartila I Made Yadi Dharma Iping Supriana Suwardi Jenly Ramdan Khaera Tunnisa, Khaera 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 Siregar, M. Amran Hakim Tri Angga Dio Simamora