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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal Jurnal Ilmiah Matrik IKRA-ITH Informatika : Jurnal Komputer dan Informatika JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jiko (Jurnal Informatika dan komputer) JURIKOM (Jurnal Riset Komputer) JUMANJI (Jurnal Masyarakat Informatika Unjani) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Tekno Kompak METIK JURNAL Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) JOINT (Journal of Information Technology jurnal syntax admiration Jurnal Teknologi Informatika dan Komputer Innovation in Research of Informatics (INNOVATICS) Informatics and Digital Expert (INDEX) Jurnal Ilmiah Wahana Pendidikan Journal of Informatics and Communication Technology (JICT) Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Algoritma Jurnal Sosial dan Sains Riwayat: Educational Journal of History and Humanities Jurnal Global Ilmiah Journal of Informatics and Communication Technology (JICT) Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Fajri Rakhmat Umbara
Fakultas Sains Dan Informatika Universitas Jenderal Achmad Yani, Cimahi, Indonesia
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Optimalisasi Penggunaan Gerbong Kelas Kereta Api Penumpang Menggunakan Algoritma Genetika Ahsin Fauzi; Tacbir Hendro Pudjiantoro; Fajri Rakhmat Umbara
Journal of Information Technology Vol 4 No 1 (2022): JOINT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v4i1.71

Abstract

The Train passengers do not increase over time continuously. Each route provided by PT.KAI does not always meet the capacity of the total seats in each class. On some predetermined route, there are seats which are not optimally filled in each class, it can increase the operational costs because of the unused wagon stay to run even though there are no passengers. Optimization is one way to find the best value of a giveing the function in an available context. One of the methods used for optimization is Genetic Algorithm. Genetic Algorithm is a method to get a solution according to the criteria without the need to test all combinations. The stages of the genetic algorithm consist of four stages, there are input, pre-process, process and output. The Genetic Algorithm process includes initial solution generation, match value evaluation, selection, mutation and crosses. This system is tested by entering the number of passengers 250, 500, and 750 people. The number of 250 passengers with 100 generations produces an optimal fitness value, namely 241 seats in the 82nd generation with a percentage of 98.18%. The purpose of this research is to optimize the use of class wagon on passenger trains according to the schedule of each train.
Deteksi Hoax pada Berita Online Bahasa Inggris Menggunakan Bernoulli Naïve Bayes dengan Ekstraksi Fitur Tf-Idf Agri Yodi Prayoga; Asep Id Hadiana; Fajri Rakhmat Umbara
Jurnal Syntax Admiration Vol. 2 No. 10 (2021): Jurnal Syntax Admiration
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v2i10.327

Abstract

Fenomena yang disebut sebagai "berita palsu" saat ini mengacu pada publikasi online dari pernyataan fakta palsu yang disengaja. Tujuan pembuatan berita hoax adalah untuk mempengaruhi pembaca berita untuk mencegah tindakan yang benar. Deteksi berita hoax ini berperan penting bagi pemerintah dan masyarakat, sebab itu berita hoax harus segera dideteksi untuk menghindari efek yang dapat ditimbulkannya. Penelitian ini bertujuan untuk mengetahui performa dari penggunaan algoritma Bernoulli Naïve Bayes dengan ekstraksi fitur TF-IDF dalam mendeteksi berita hoax. Tahapan penelitian ini disusun sebagai berikut, yaitu pengumpulan data dan labeling, text preprocessing, ekstraksi fitur dengan TF-IDF, pembagian dataset, classification, Output (Klasifikasi Fake/True), evaluasi, dan kesimpulan. Hasil implementasi menunjukan model prediksi yang dibangun dengan 8800 data berita, mampu menghasilkan nilai akurasi sebesar 98,5% dari jumlah data uji sebanyak 2.200 data berita, dimana akurasi dari prediksi model untuk label 1 (Fake) sebesar 97,8%, dan akurasi untuk label 0 (True) sebesar 99,1%, diikuti dengan nilai precision 99,1%, recall 97,8%, dan f1-score 98,4%. Dari implementasi tersebut penggunaan ekstraksi fitur TF-IDF pada algoritma Bernoulli Naive Bayes mampu meningkatkan akurasi sebesar 16,08%, precision 15,7%, recall 16,22%, dan f1-score 15,92% bila dibandingkan dengan hasil penelitian sebelumnya
Prediksi Penyakit Diabetes Menggunakan Algoritma Support Vector Machine (SVM) Hovi Sohibul Wafa Hovi; Asep Id Hadiana; Fajri Rakhmat Umbara
Informatics and Digital Expert (INDEX) Vol. 4 No. 1 (2022): INDEX, Mei 2022
Publisher : LPPM Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/index.v4i1.895

Abstract

Diabetes Mellitus (DM) atau lebih dikenal dengan sebutan penyakit kencing manis adalah penyakit kronis yang disebabkan oleh gagalnya organ pankreas memproduksi jumlah hormon insulin secara memadai sehingga menyebabkan peningkatan kadar glukosa dalam darah. Diabetes Mellitus merupakan penyakit yang berbahaya, banyak diberbagai negara terkena penyakit diabetes termasuk di Indonesia. Penyebab utama diabetes masih belum diketahui, namun banyak yang percaya bahwa faktor genetika dan gaya hidup dapat memainkan peran utama pada diabetes. Para peneliti di bidang bioinformatika telah berusaha untuk mengatasi penyakit ini dan membuat sistem untuk membantu dalam prediksi diabetes. Dari berbagai penelitian yang ada, banyak menggunakan metode seperti C4.5, KNN, Naïve Bayes, serta SVM Linier dalam membangun sistem, tapi metode SVM Radial Basis Function (RBF) jarang digunakan dikarenakan hasil akurasi yang didapat tidak cukup untuk digunakan pada sistem prediksi diabetes. Pada penelitian ini menjawab gap tersebut bahwa dengan menggunakan metode algoritma SVM Radial Basis Function (RBF) dapat menghasilkan akurasi yang tinggi dengan mencapai sebesar 91%. Pengujian akurasi yang dilakukan menggunakan Confusion Matrix dan peramalan Mean Square Error dengan kfold kelipatan 10. Penelitian ini bertujuan untuk menentukan apakah penderita/pasien dapat terkena penyakit diabetes atau tidak dengan menerapkan teknik data mining dan klasifikasi menggunakan algoritma SVM Radial Basis Function berbasis Forward Selection.
Pembangunan Sistem Electronic Customer Relationship Management (E-CRM) pada PT. Sapta Satria Jaya Tri Wijaya Permana Sidik; Wina Witanti; Fajri Rakhmat Umbara
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 2 No 1 (2018): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.864 KB) | DOI: 10.26874/jumanji.v2i1.23

Abstract

PT. Sapta Satria Jaya merupakan perusahaan di bidang jasa keamanan outsourcing dengan sistem kontrak. Pengolahan keluhan terhadap client yang akan dijadikan laporan masih tidak efektif karena laporan dari setiap Danru masih ditulis di kertas sehingga kantor pusat harus membuat format laporan ulang untuk diberikan kepada client setiap 1 bulan sekali. Electronic-Customer Relationship Management (E-CRM) merupakan sebuah strategi yang digunakan oleh suatu organisasi atau perusahaan untuk dapat menciptakan dan mempertahankan suatu hubungan yang baik dan berkelanjutan dengan client dan mengurangi kemungkinan para client pindah ke perusahaan lain. Penelitian ini bertujuan untuk membangun sebuah Electronic Customer Relationship Management (E-CRM) yang berbasis website dan mobile web pada PT. Sapta Satria Jaya agar dapat menjalin hubungan dan meningkatkan pelayanannya kepada client. Pengembangan sistem penelitian ini menggunakan model waterfall. Penelitian ini akan menghasilkan sebuah Sistem Electronic Customer Relationship Management (E-CRM) berbasis website dan mobile web yang kemudian akan diuji dengan menggunakan metode pengujian Black-Box ,yaitu menguji perangkat lunak dari segi spesifikasi fungsional tanpa menguji desain dan kode program, dengan pembangunan Electronic-Customer Relationship Management (E-CRM) ini diharapakan PT. Sapta Satria Jaya dan menjalin hubungan yang berkelanjutan dan dapat meningkatkan layanannya kepada client apabila selesai diimplementasikan diharapkan menurunkan presentasi keterlambatan Danru menjadi 10%.
Validitas dan Reliabilitas Instrumen Pengukuran pada Matriks Multitrait-Multimethod Ade Kania Ningsih; Fajri Rakhmat Umbara
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 2 No 1 (2018): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.469 KB) | DOI: 10.26874/jumanji.v2i1.21

Abstract

Dalam penelitian, peneliti sering kali menemukan kesulitan dalam mengukur variabel konstruk. Campbell dan Fiske (1959) memperkenalkan matriks multitrait-multimethod (MTMM) untuk mengevaluasi konstruk. Desain kuesioner sering kali digunakan setiap item kuesioner hanya satu metode pensekalaan ( misalnya, likert dengan skala 1-5) sehingga sumber variasi metode terhadap respons item tidak diperhitungkan. Saris dan Gallhoffer [13] mengatakan bahwa, different methods, different results yang artinya bahwa metode penskalaan (effek metode) sangat berpengaruh terhadap kualitas pengukuran. Scherpenzeel dan Saris [16] mengaplikasikan multitraits-multimethods (MTMM) untuk menghitung efek metode terhadap respons item kuesioner, juga reliabilitas, dan validitas. Tujuan makalah ini adalah mengukur reliabilitas, validitas, dan besarnya efek metode suatu traits. Contoh kasus dalam penelitian ini adalah tentang tingkat kepuasan mahasiswa terhadap proses belajar mengajar (PBM) staf pengajar di lingkungan FMIPA-Unjani prodi informatika dengan tiga buah traits dan tiga buah metode penskalaan. Penaksiran reliabilitas, validitas, dan efek metode digunakan pendekatan pemodelan struktural dan paket program LISREL Metode penaksiran digunakan kemungkinan maksimum. Hasilnya tidak sedikit ketidak konsistenan responden dalam menjawab kuesioner apabila hanya menggunakan satu metode penskalaan sehingga berpengaruh terhadap kualitas pengukuran. Dalam hal ini berdasarkan validitas maka untuk kasus yang digunakan menggunakan tiga metode penskalaan untuk menghasilkan kualitas pengukuran yang lebih baik.
Prototype Sistem Informasi Eksekutif Dosen di Perguruan Tinggi Swasta ABCD Ella Wahyu Guntari; Aldi Sidik Permana; Fajri Rakhmat Umbara
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 3 No 02 (2019): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.207 KB) | DOI: 10.26874/jumanji.v3i02.65

Abstract

Universitas ABCD merupakan salah satu lembaga institusi pendidikan tinggi swasta di Indonesia. Pengelolaan dan peningkatan kualitas di berbagai program studi yang ada menjadi perhatian utama level eksekutif, khususnya tenaga pengajar pendidikan tinggi (dosen). Untuk meningkatkan kualitas tenaga pengajar pendidikan tinggi, maka diperlukan sebuah sistem informasi yang membantu eksekutif untuk dapat mengakses data dosen, sehingga eksekutif dapat mengambil kesimpulan dari data dosen tersebut. Hasil output dari sistem informasi eksekutif tersebut berupa chart atau diagram laporan mengenai data dosen. Metode pengembangan sistem yang digunakan ialah model prototype, tahapan metode prototype diantaranya adalah mendengarkan pelanggan, merancang dan membuat prototype kemudian dilakukan uji coba.
Sistem Monitoring Produksi Outsole Sepatu Di CV. Teja Rubber Reno Setiawan; Puspita Nurul Sabrina; Fajri Rakhmat Umbara
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.937 KB)

Abstract

In the development of advanced information technology, companies are often faced with rapid changes in the business environment, so companies need to carry out continuous monitoring and measurement of company performance. Monitoring is a cycle of activities that closely observe a situation or condition including certain activities. CV. Teja Rubber, is engaged in manufacturing rubber outsole by accepting customer orders that have been determined the size and color for shoes outsole to be made, has the activity of making shoes outsole from the beginning of raw materials to become an shoe outsole. However, in the production process there are still problems in monitoring the production process, namely the difficulty of getting information on the development of the production process causes difficulty in monitoring the development of the production process. Therefore, in supporting and improving the production process, namely by creating a monitoring system for shoes outsole production in CV. Teja Rubber. The system can manage the flow of information that can be known by all sections to monitor the course of production in accordance with the targeted and find out when the process is not appropriate so that it is easy to access information about the number of products produced, production time taken, and products that are not feasible so that production reports will be more effective and the production process can be controlled.
Sistem Rekomendasi Bantuan Rutilahu Kabupaten Sumedang Menggunakan Metode Multi Attribute Utility Theory Tacbir Hendro Pudjiantoro; Syarifudin Yoga Pinasty; Fajri Rakhmat Umbara
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.956 KB)

Abstract

The house is a place to live and shelter for humans as well as a place for daily activities and in Sumedang Regency there are still many houses that are categorized as uninhabitable house, because there are still people who are categorized as having uninhabitable houses, the government routinely provides assistance and due to limited funds owned by the Government as well as many people who submit requests for assistance,but the Government cannot provide assistance at the same time to all people who submit. The applicant for assistance must wait if not yet selected to get help, to get help, a selection of aid opinions must be made to make it right on target. Decision making related to the determination of the community who will receive assistance first, it will be carried out the construction of a system that aims to support a decision in the sense of a decision support system instead of replacing humans as decision makers in providing uninhabitable housing assistance, but can provide a picture or more knowledge towards humans for decision making,where the system development will be used by the Dinas Sosial Sumedang and using the Multi Attribute Utility Theory (MAUT) method and for this method that is calculating the normalization and weight that will be multiplied by the components needed so that the final result is a ranking order from the evaluation results.
Sistem Rekomendasi Bantuan Rutilahu Kabupaten Sumedang Menggunakan Metode Multi Attribute Utility Theory Syarifudin Yoga Pinasty; Tacbir Hendro Pudjiantoro; Fajri Rakhmat Umbara
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

The house is a place to live and shelter for humans as well as a place for daily activities and in Sumedang Regency there are still many houses that are categorized as uninhabitable house, because there are still people who are categorized as having uninhabitable houses, the government routinely provides assistance and due to limited funds owned by the Government as well as many people who submit requests for assistance,but the Government cannot provide assistance at the same time to all people who submit. The applicant for assistance must wait if not yet selected to get help, to get help, a selection of aid opinions must be made to make it right on target. Decision making related to the determination of the community who will receive assistance first, it will be carried out the construction of a system that aims to support a decision in the sense of a decision support system instead of replacing humans as decision makers in providing uninhabitable housing assistance, but can provide a picture or more knowledge towards humans for decision making,where the system development will be used by the Dinas Sosial Sumedang and using the Multi Attribute Utility Theory (MAUT) method and for this method that is calculating the normalization and weight that will be multiplied by the components needed so that the final result is a ranking order from the evaluation results.
Sistem Prediksi Mutu Air Di Perusahaan Daerah Air Minum Tirta Raharja Menggunakan K – Nearest Neighbors (K – NN) Rahandanu Rachmat; Yulison Herry Chrisnanto; Fajri Rakhmat Umbara
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.793 KB)

Abstract

PDAM (Perusahaan Daerah Air Minum) Tirta Raharja is the only Regional Business Entity (BUMD) that has the task of providing clean water services to the people of Cimahi City. Clean water is the main requirement that must be consumed by the community and managed in the smooth running of community activities. The development of the city of Cimahi is currently quite fast, with plans to build smart cities, causing the need for clean air as needed. K - Nearest Neighbor (KNN) is a classification algorithm that considers several supporting parameters to carry out a classification process that results in ease of calculation and power. KNN can be considered as one of the most famous non-parametric models. In the research and implementation process of data mining in the regulation of water quality feasibility in PDAM Tirta Raharja using K - the nearest neighbor can be denied as the K - the nearest neighbor implemented in the process of testing the drinking water feasibility in PDAM Tirta Raharja, can be used 93% to be used with the Eligible label Drunk, and 98% for accuracy testing with the label Not Eligible to drink with a K value of 14 where the K value is the most ideal amount that must go through K - Fold Validation Validation of a total of 1,818 data.
Co-Authors -, Agus Komarudin -, Ridwan Ilyas Adam, Marcellino Ade Kania Ningsih Aditya Bahrul 'Alam, Moch Aditya, Aldy Adzani, Nadhif Nurul Fajri AGIEL FADILLAH HERMAWAN Agri Yodi Prayoga Ahsin Fauzi Aldi Sidik Permana Anwar Fauzi, Mochammad Ardiyansyah, Muhamad Salman Ashaury, Herdi Asrul Badar, Ahmad Cepi, Gan Dava Maulana, Muhammad Delfany Arcadia Valeska Destiyanti, Fitri Dewi Kartika Sari Dewi, Wulan Dian Nursantika Drl, Indra Raja Ella Wahyu Guntari Erna Sesarliana* Fadhilahsyah Ramadhan, Muhammad Diky Faiza Renaldi Fauzan, Ariq Febriansyah Istianto, Andrian Ferdiansyah Ferdian FERDIANSYAH, ALDOVA fery bayu aji FIQRI FAKHRUL GUNAWAN Firmansyah, Rolan Fitri Nurbaya Gestavito, Rio Ginanjar Rahayu Gita Mahesa Hadiana, Asep Id Hasna, Aisyah Nur Hendro, Tacbir Herdi Ashaury Hidayat, Ferdian Afza Hidayat, Mazid Hidayatulah Himawan Hovi Sohibul Wafa Hovi Hovi, Hovi Sohibul Wafa Ilham Danoppati Junior, Rifqi Pratama Kahfi, Muhammad Dzatul Kasyidi, Fatan Kharis Pratama, Adam Kharisma Jevi Shafira Sepyanto Krisdianto Sitanggang, Sari Levi Sabili, Naufal Lio Wilianto Mazid Hidayat Melina Melina Miftahul Falah Muhamad Ramdan, Muhamad Muhammad Ramdhani, Muhammad Nelsih Putriani Novi Hermansyah Nugroho, Akbar Satrio Nurul Sabrina, Puspita Nusantara, Madya Dharma Oktariansyah, Indro Abri Permana, Acep Handika Pujo Sulardi Puspita Nurul Sabrina Puspita Nurul Sabrina Puspita Nurul Sabrina, Puspita Nurul Putra, Dion Revaldy Putri, Ika Rahmah Rachadian Novansyah Rahandanu Rachmat Reno Setiawan Rezki Yuniarti Ridwan Ilyas Salsabila Fajriati Romli Salsabila Salsabila, Salsabila Fajriati Romli Sapari, Albi Mulyadi Sepyanto, Kharisma Jevi Shafira SETIAWAN, YOSEP Shisi Prayesti Sigit Pratama Siti Aisah Sulardi, Pujo Susanti, Adisti Dwi Susilowati, Merliana Tri Syarifudin Yoga Pinasty Syarifudin Yoga Pinasty Tacbir Hendro Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tiara Rahmawati Tri Wijaya Permana Sidik Wibowo, Ditto Ridhwan Wilianto, Lio Wina Witanti Wina Witanti Yanuar, Muhammad Rizki Yazid, Rija Muhamad Yoga, Yoga Yulison Herry Chrisnanto