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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Teknologi EMITTER International Journal of Engineering Technology JURNAL MEDIA INFORMATIKA BUDIDARMA InComTech: Jurnal Telekomunikasi dan Komputer Technomedia Journal Jurnal Tekno Insentif Jurnal Agregasi JATI (Jurnal Mahasiswa Teknik Informatika) Competitive Journal Informatic, Education and Management (JIEM) Merpati Jurnal Teknologi dan Manajemen Industri Terapan Nuansa Informatika Competitive Journal of Information Technology and Cyber Security Jurnal MediaTIK
Rolly Maulana Awangga, Rolly Maulana
Politeknik Pos Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Transportation Other

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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.
Dashboard settings design in SVARA using user-centred design method Muhammad Yusril Helmi Setyawan; Rolly Maulana Awangga; Rezka Afriyanti
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.v17i2.8762

Abstract

SVARA is the first Social Media audio application in Indonesia developed by PT. Zamrud Teknologi Khatulistiwa. At present, this application does not have feature settings to display content and other basic settings on the user's side. This situation results in users not having the role to manage the appearance of the dashboard according to their preferences. Settings are done entirely by administrators using scripts and must take APIs with regular PHP scripts. And this is very troublesome. So to give a role to the view of user management, the application needs to be made a dashboard setting feature as a follow-up. Through this paper, the researchers propose designing this dashboard feature using the User-Centered Design (UCD) method. The design results show that this method has a positive correlation with user involvement support in the application development process.
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.
A COMBINATION DEEP BELIEF NETWORKS AND SHALLOW CLASSIFIER FOR SLEEP STAGE CLASSIFICATION Intan Nurma Yulita; Rudi Rosadi; Sri Purwani; Rolly Maulana Awangga
Jurnal Ilmiah Kursor Vol 8 No 4 (2016)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v8i4.97

Abstract

In this research, it is proposed to use Deep Belief Networks (DBN) in shallow classifier for the automatic sleep stage classification. The automatic classification is required to minimize Polysomnography examination time because it needs more than two days for analysis manually. Thus the automatic mechanism is required. The Shallow classifier used in this research includes Naïve Bayes (NB), Bayesian Networks (BN), Decision Tree (DT), Support Vector Machines (SVM), and K-Nearest Neighbor (KNN). The results obtained that many methods of the shallow classifier are increasing precision, recall, and F-Measure if they use DBN output as input for classification. Experiments that have been done indicate a significant increase of Naive Bayes after being combined with DBN. The high-level features generated by DBN are proven to be useful in helping Naive Bayes' performance. On the other hand, the combination of KNN with DBN shows a decrease because high-level features of DBN make it harder to find neighbors that optimize the performance of KNN.
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.
ANALISIS JEJARING SOSIAL UNTUK MANAJEMEN PENGELOLAAN PERBATASAN ANTARA NEGARA Ady Muzwardi; Adji Suradji Muhammad; Rolly Maulana Awangga; Arjuna Rizaldi
Jurnal Agregasi : Aksi Reformasi Government dalam Demokrasi Vol 8 No 2 (2020)
Publisher : Prodi Ilmu Pemerintahan FISIP Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/agregasi.v8i2.3231

Abstract

The Province of Riau Islands is one of the provinces that have borders with neighboring countries, thus became the window of Indonesia. Therefore, the management in border areas will be a barometer state management of border in Indonesia in general. The current government has formed border management agency between countries starting from central government, Province to District/City level since Riau Islands share a border with 4 (four) foreign countries. Therefore, proper inter-country border management is expected to run optimally. However, there are still various problems from illegal activities such as smuggling, piracy, illegal fishing/mining, drugs, terrorism, etc. These problems should be solved by Collaborative Governance approach between stakeholders involved in the management of border areas. To find out how the parties are then this research will analyze how the involvement between parties with Social Networking approach. Keywords: collaborative governance, social networking, border area, management, governance
Analisis Performa Algoritma Random Forest dan Naive Bayes Multinomial pada Dataset Ulasan Obat dan Ulasan Film Rolly Maulana Awangga; Nuha Hanifatul Khonsa'
InComTech : Jurnal Telekomunikasi dan Komputer Vol 12, No 1 (2022)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v12i1.14770

Abstract

Kemudahan akses informasi memberikan peluang pertukaran informasi antar individu maupun kelompok. Kemudahan akses tersebut memberikan dampak dengan munculnya banyak opini terhadap suatu produk atau topik terhangat. Data opini ulasan dapat diolah menjadi data informasi baru yang memiliki nilai lebih bagi perusahaan maupun pemanfaat data. Pengolahan data ulasan dapat dilakukan dengan menggunakan machine learning dengan algoritma klasifikasi untuk mendapatkan analisis sentimen terhadap produk tertentu. Dataset yang digunakan pada penelitian ini adalah datasetulasan obat dan ulasan film  untuk melakukan analisis sentimen dengan mengulas performansi algoritma Random Forestdengan menggunakan beberapa pohon keputusan yang sama yang disatukandan Naïve Bayes Multinomialmenggunakan perhitungan probabilitas pada tingkat akurasi dan waktu latih data. Dalam preprocessing untuk pengolahan data dan penyesuaian tipe data pada metode yang akan digunakan dengan menggunakan CountVectorizer untuk mengubah token kata menjadi vektor dan mengubah data fitur menjadi tipe array. Pembagian data latih dan uji dengan rasio 75:25. Dengan hasil akurasi data terbaik 0,57% dengan menggunakan algoritma Naïve Bayes Multinomial pada data ulasan film. dan latih waktu terlama pada algoritma Random Forestsehingga disarankan untuk dapat menggunakan Term Frequency-Inverse Document Frequency (TF-IDF)sebagai term pembobotan kata untuk mendapatkan hasil akurasi yang lebih baik pada penelitian selanjutnya.
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.
IMPLEMENTASI ALGORITMA GENETIKA UNTUK OPTIMALISASI PELAYANAN KEPENDUDUKAN Syafrial Fachri Pane; Rolly Maulana Awangga; Esi Vidia Rahcmadani; Seta Permana
Jurnal Tekno Insentif Vol 13 No 2 (2019): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.745 KB) | DOI: 10.36787/jti.v13i2.130

Abstract

Abstrak - Pelayanan merupakan deretan peristiwa yang terjadi dalam berinteraksi langsung kepada masyarakat disekeliling atau dengan alat secara fisik dan menyajikan fasilitas yang memuaskan untuk penduduk lebih tepatnya dalam proses pembuatan surat pengantar akta kelahiran, seperti penjadwalan tanggal yang terlalu lama setelah penduduk mendaftar. Pada pelayanan kependudukan membutuhkan inovasi terbaru untuk meningkatkan dalam memberikan pelayanan yang baik tepat dan cepat kepada masyarakat. Proses pelayanan pada pembuatan jadwal pengambilan surat pengantar akta kelahiran yang dicatat dengan proses manual belum bisa dibuat secara maksimal sehingga perlu adanya perbaikan konsep kegiatan yang dikelola secara maksimal melalui penggunaan aplikasi optimalisasi penjadwalan yang tersusun secara otomatis. Oleh karena itu, kebutuhan tentang optimalisasi penjadwalan menjadi penting dan pembuatan aplikasi pada pelayanan tersebut harus dibangun secara lebih lengkap dan meliputi ruang lingkup yang lebih luas. Penelitian ini bertujuan untuk mengimplementasikan penjadwalan pengambilan akta kelahiran menggunakan Algoritma Genetika, serta mendefinisikan Algoritma Genetika dalam proses penjadwalan. Algoritma Genetika yang terdiri dari definisi individu, inisialisasi chromosome, evaluasi chromosome, proses seleksi (crossover) dan proses mutase. Hasil dari algoritma genetika berupa tanggal dan bulan yang digunakan untuk pengambilan surat pengantar akta kelahiran berupa data penjadwalan yang tepat agar tidak terjadi keterlambatan. Hasil dari penelitian ini adalah berupa penjadwalan yang sudah terdapat waktu ruangan yang sudah tersusun lebih cepat dan akurat dari pada proses penjadwalan manual yang memakan waktu yang cukup lama sehingga menyulitkan petugas di catatan sipil serta menciptakan kinerja yang lebih maksimal dalam proses pemilihan dan pengolahan data terhadap aplikasi yang sudah dikelola sehingga menciptakan penjadwalan yang lebih terstruktur. Abstract - Service is a series of events that occur in interacting directly with the community around or with physical means and presenting satisfying facilities for residents more precisely in the process of making a birth certificate cover letter, such as scheduling dates that are too long after residents register. In population services, the latest innovations are needed to improve in providing good and fast service to the community. The service process in making schedules for taking birth certificates for birth certificates that are recorded with a manual process cannot be made to the maximum, so there needs to be an improvement in the concept of activities that are managed optimally through the use of automated scheduling optimization applications. Therefore, the need for optimizing scheduling is important and making applications for these services must be built more fully and cover a wider scope. This study aims to implement scheduling birth certificate using Genetic Algorithms, as well as defining Genetic Algorithms in the scheduling process. Genetic Algorithms which consist of individual definitions, chromosome initialization, chromosome evaluation, selection process (crossover) and mutase process. The results of the genetic algorithm in the form of dates and months are used to retrieve the birth certificate cover in the form of appropriate scheduling data so that there is no delay. The results of this study are in the form of scheduling where there is a time that has been arranged more quickly and accurately than the manual scheduling process which takes quite a long time, making it difficult for officers in the civil registry and creating maximum performance in the process of selecting and processing data on applications which have been managed so as to create more structured scheduling.
Co-Authors Adji Suradji Muhammad Ady Muzwardi Agita Nurfadillah Akik Hidayat Alwan Suryansah Aminuyati Andarsyah, Roni Arjuna Rizaldi Asyhari, Mochamad Yusuf Atje Setiawan Abdullah Bayu Rahmad Azhari Cahya Kurniawan Cartono Cartono Dani Leonidas Sumarna Diana Asri Wijayanti Dinda Majesty Dirga Febrian Dzikri Ahmad Ghifari Esi Vidia Rahcmadani Fahira, Fahira Fatonah, Rd. Nuraini Siti Fazriyah, Nurul Gatto, Petrolina Anastasia Gilang Romadhanu Tartila Gilar Wahibul Azhar Gopikrishnan, Sundaram Habibi, Roni - Intan Nurma Yulita, Intan Nurma Iping Supriana Suwardi Khaera Tunnisa, Khaera Kurniawan, Alit Fajar Kurniawan, Cahya Maulana, Farhan Rizki Maulyanda, Maulyanda Muchamad Innal Kariem Muhammad Firman Kahfi Muhammad Wahyu Ardi Muhammad Yusril Helmi Setyawan Muhammad Yusril Helmi Setyawan Nadia Ayu Lestari Nisa Hanum Harani Nuha Hanifatul Khonsa' Prianto, Cahyo Rd. Nuraini Siti Fatonah Restiyana Dwi Astuti Rezka Afriyanti Rianti, Resa Roni Habibi Roni Habibi Rony Andarsyah Rudi Rosadi Seta Permana Setiawan Assegaf Setyawan, Muhammad Yusril Helmi Sri Purwani Suryansah, Alwan - Syafrial Fachri Pane Syafrial Fachri Pane Syafrial Fachri Pane, Syafrial Fachri Tamadara Hilman Tasya Wiendhyra Tri Angga Dio Simamora Vebi Natasya, Salsabila