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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JIKO (Jurnal Informatika dan Komputer) Computer Based Information System Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem informasi dan informatika (SIMIKA) Prosiding National Conference for Community Service Project JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Teknologi Informasi dan Komunikasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Telcomatics Journal of Information System and Technology (JOINT) Journal of Computer and Information System (J-CIS) Indonesian Research Journal on Education Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Business, Social Sciences and Technology (CoNeScINTech) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer INOVTEK Polbeng - Seri Informatika
Syaeful Anas Aklani, Syaeful
Universitas Internasioanl Batam
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ANALISIS ALGORITMA MONTE CARLO UNTUK MEMPREDIKSI KEUNTUNGAN PEMBANGUNAN APARTEMEN MENGGUNAKAN SCRUM FRAMEWORK Welliam Ali; Syaeful Anas Aklani
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 3 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i3.612

Abstract

This study aims to predict profits in apartment projects. This research was made using the Scrum framework in making AI applications and predicting the benefits of using Monte Carlo. Besides that, making AI applications uses PHP and Xampp to make AI. This study uses qualitative methods to 5 people at different developers. The findings of this study indicate that the results on the analysis of ai applications on the benefits of apartment projects are in accordance with the results on the benefits of projects in the field. The model used by the author is Scrum to help authors complete work one by one quickly and can be recognized in doing Scrum. Scrum is divided into 3 namely Product Owner, Development Team and Scrum Master. Where the Scrum Master is in charge of ensuring the sprint goes well and the Development Team and Product Owner to analyze and design applications. The findings of this study are useful for developers to predict profits in apartment projects to be built.
ANALISIS KOMPARASI ALGORITMA K-NEAREST NEIGHBOR DAN SUPPORT VECTOR MACHINE DENGAN PENDEKATAN MULTI DATASET Julyan Adi Saputra; Syaeful Anas Aklani
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 13 No 3 (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i3.614

Abstract

Data mining is a process of identifying data that is valid and has the potential to be useful to the person who did it. One of the purposes of data mining is to study previously existing data that composes certain patterns and is used to make predictions. Machine learning works by utilizing data and algorithms to create models with patterns from the data set. There are many algorithms that can be used, such as C4.5, K-Means, Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Naïve Bayes, and others. Since there are many algorithms in data mining, each has its own advantages and disadvantages. This research will focus on the comparison between the Support Vector Machine algorithm and the K-Nearest Neighbor algorithm in terms of accuracy, precision and processing time.
PEARSON'S CORRELATION ANALYSIS IN PREDICTING PSYCHOLOGICAL DISORDER CONDITIONS IN ONLINE GAME PLAYERS IN INDONESIA: A CASE STUDY ON VALORANT Edwin Charley; Syaeful Anas Aklani
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 10, No 1 (2023)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v10i1.624

Abstract

In modern times, technology is developing very rapidly, especially in the gaming industry. This results in game addiction. Online game addiction is known as Internet Game Disorder (IGD). This can have an impact on other psychological disorders such as Attention Deficit Hyperactivity Disorder (ADHD), and Generalized Anxiety Disorder (GAD). This study aims to determine the relationship between Valorant game player statistics and IGD, ADHD, and GAD. The method used is a qualitative and quantitative approach. In the qualitative method, 30 samples of Indonesian valorant players were taken in filling out the questionnaire and in the quantitative method, 400 samples of Indonesian valorant players were taken using the Slovin formula to conduct interviews. The data obtained is applied simultaneously and looks for relationships between these data. Based on the results of qualitative and quantitative data analysis, the correlation results obtained for IGD, ADHD, and IGD have a very low relationship to player performance so player performance has a very low impact on the occurrence of psychological disorders.Keywords: Pearson Correlation, IGD, ADHD, GAD, Video Games.Di zaman modern, teknologi berkembang sangat pesat terutama pada industri game. Hal ini mengakibatkan terjadinya kecanduan game. Kecanduan game online dikenal sebagai Internet Game Disorder (IGD). Hal ini bisa berdampak pada gangguan psikologi lainnya seperti Attention Deficit Hyperactivity Disorder (ADHD), dan Generalized Anxiety Disorder (GAD). Penelitian ini bertujuan untuk mengetahui hubungan antara statistik pemain game Valorant dengan IGD, ADHD, dan GAD. Metode yang digunakan yaitu pendekatan kualitatif dan kuantitatif. Pada metode kualitatif, diambil sebanyak 30 sampel pemain valorant Indonesia dalam pengisian kuisioner dan pada metode kuantitatif, diambil sebanyak 400 sampel pemain valorant indonesia dengan perhitungan menggunakan rumus Slovin untuk melakukan wawancara. Data yang didapatkan diterapkan secara bersamaan dan mencari hubungan antara data - data tersebut. Berdasarkan hasil analisis data kualitatif dan kuantitatif, memperoleh hasil korelasi IGD, ADHD, dan IGD memiliki hubungan yang sangat rendah terhadap performa pemain sehingga performa pemain memiliki dampak yang sangat rendah terhadap terjadinya gangguan psikologis.Kata kunci: Korelasi Pearson, Psychological Disorder, SPSS, IGD, ADHD, GAD, Video games.
USAGE OF FLUTTER FRAMEWORK IN DESIGN AND DEVELOP MLEARNING APPLICATION AND ITS EFFECTIVENESS ANALYSIS AMONG WORKERS IN BATAM CITY Syaeful Anas Aklani; Kelvyn
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 14 No 1 (2023): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v14i1.536

Abstract

Changes or additions of new employee in a company is a normal thing and can be happen anytime. The process of training and introducing to new employee is the initial stage carried out by company after accepting new employee, this process is called onboarding. This research aims to designing and developing mobile application that is used to train and introduce for new employee. The application is developed with RAD (Rapid Application Development) method and using flutter framework along with firebase as the data storage. This research also doing analysis to the effectiveness usage of the mobile application developed with TAM (Technology Acceptance Model) model. Variables that is used in the analysis are Perceived Ease of Use, Perceived Usefulness, and Attitude Towards Using. Sample of this research is all workers in the Batam city. The research method is quantitative and analyze with regression using SPSS application. This research proves that mobile application can be used to conduct employee training.
ANALISIS DAN PENGEMBANGAN APLIKASI MOBILE DIET ARTIFICIAL INTELLIGENCE DENGAN PENDEKATAN CHALLENGE BASED Dayton Dayton; Syaeful Anas Aklani
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2365

Abstract

College life is a period where most students are required to live independently and begin to plan for their diet. Unfortunately, they commonly adopt poor dietary habits due to a lack of nutritional literacy. The lack of knowledge about healthy diets may potentially affect their health. This study aims to develop a meal planner iOS application that integrates daily calorie information and includes a machine learning-based meal recommendation feature. The application was built using Swift programming language along with Challenge Based Learning (CBL) framework. The application then was used to analyze the effectiveness usage of the meal planner mobile application using Technology Acceptance Model (TAM). The study was conducted by distributing an online questionnaire to 360 university students in Batam City. Hypothesis testing was carried out through linear regression using SPSS 25 software. The results showed a positive impact of Perceived Ease of use toward Perceived Usefulness in using the meal planner application. Additionally, both Perceived Usefulness and Perceived Ease of use also positively impact the Attitude Towards Using the meal planner application. The results of this study should be beneficial to the future developments of meal planner applications so that they can improve the nutritional literacy of students on living a healthy lifestyle and adopt new technologies for future research.
Perancangan Dan Implementasi Sistem Pendukung Keputusan Kenaikan Jabatan Berbasis Web Dengan Metode Profile Matching Di PT. Putra Indo Cahaya Steven Steven; Syaeful Anas Aklani
Journal of Information System and Technology (JOINT) Vol 2 No 1 (2021): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v2i1.4436

Abstract

Penilaian kinerja karyawan pada suatu perusahaan biasanya dilakukan secara manual sehingga menyebabkan hasil penilaian bersifat subjektif. Masalah ini dapat diselesaikan menggunakan suatu sistem pendukung keputusan. Pada penelitian ini, Profile Matching adalah metode yang dipakai untuk memberikan rekomendasi berupa karyawan terbaik berdasarkan peringkat. Pemberian peringkat diberikan untuk karyawan yang berhak mendapat bonus ataupun promosi jabatan. Penilaian didasarkan atas tiga aspek, dan dua puluh kriteria. Sistem pendukung keputusan berguna untuk melakukan penilaian pegawai dalam pemilihan pegawai terbaik dengan memanfaatkan metode profile matching.
Perancangan Dan Implementasi Sistem Penentuan Modal Harga Produk Control Valve Dengan Metode Full Costing Ryan Gunawan; Syaeful Anas Aklani
Journal of Information System and Technology (JOINT) Vol 2 No 1 (2021): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v2i1.4431

Abstract

Dalam melakukan proses pelayanan bisnis yang membutuhkan kecepatan dan keakuratan dalam prosesnya, sebuah sistem dapat dibangun agar dapat membantu proses pelayanan bisnis tersebut sehingga menjadi lebih efektif dan efisien. Salah satu permasalahan yang dihadapi oleh klien PT. Citra Global Dinamika adalah lambatnya proses penentuan modal harga sebuah produk pesanan dan keakuratan dari harga yang ditentukan tersebut. Oleh karena itu, penulis memutuskan untuk mengembangkan sebuah sistem yang dapat membantu proses tersebut sehingga proses penentuan modal harga lebih cepat dan lebih akurat. Dalam pengembangan sistem ini, penulis menerapkan metode Full Costing yang dapat menjadi salah satu metode dalam menentukan modal harga sebuah produk. Sistem ini dikembangkan penulis dengan bantuan WPF dan bahasa pemrograman C#, XAML.
Perancangan Sistem Penunjang Keputusan Penilaian Karyawan berbasis Website dengan Menggunakan Metode SAW pada Toko Mesin Pekan Jaya Syaeful Anas Aklani; Jimmy Chandra
CoMBInES - Conference on Management, Business, Innovation, Education and Social Sciences Vol 1 No 1 (2021): Conference on Management, Business, Innovation, Education and Social Sciences (Co
Publisher : Universitas Internasional Batam

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

Abstract

Penilaian karyawan pada Toko Mesin Pekan Jaya masih dilakukan secara subyektif dan tanpa didukung oleh metode penunjang keputusan yang dapat menghasilkan penilaian karyawan yang baik. Oleh karena itu pada penelitian ini dibuat sebuah sistem penunjang keputusan penilaian karyawan berbasis website dengan menggunakan metode Simple additive Weighting (SAW), dari hasil pengujian antara perhitungan sistem dan manual memiliki hasil yang sama sehingga valid dan akurat dengan ini disimpulkan bahwa sistem dapat membantu pemilik usaha untuk mengambil keputusan tentang penilaian karyawan dalam menentukan karyawan dengan kinerja yang baik dan berhak menerima bonus atau peningkatan gaji karyawan
Perancangan dan Implementasi Live Record Pergerakan Container Berbasis Android pada Perusahaan PT Laut Mas Syaeful Anas Aklani; Erwin Erwin
CoMBInES - Conference on Management, Business, Innovation, Education and Social Sciences Vol 1 No 1 (2021): Conference on Management, Business, Innovation, Education and Social Sciences (Co
Publisher : Universitas Internasional Batam

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

Abstract

PT Laut Mas merupakan salah satu perusahaan dengan bidang jasa shipping export import peti kemas di indonesia. PT Laut Mas telah memiliki sebuah sistem yang berbasis website, sistem berbasis website tersebut dapat mencatat segala aktivitas mengenai pengantaran container. Akan tetapi penginputan data yang diterima oleh karyawan admin melalui sistem ini selalu tidak tepat waktu. Berdasarkan dengan rumusan masalah tersebut, penulis memutuskan untuk merancang sebuat sistem tambahan berbasis android. Sistem tambahan ini memiliki fungsi atau fitur yang dapat menginput data secara langsung oleh sopir ekspedisi. Sistem ini dirancang dengan design yang cukup simple dan user friendly.
Perancangan dan Pengembangan Aplikasi iOS untuk Meningkatkan Kesadaran Interupsi dalam Komunikasi Lisan secara Virtual Syaeful Anas Aklani; Franky Chainoor Johari
CoMBInES - Conference on Management, Business, Innovation, Education and Social Sciences Vol 1 No 1 (2021): Conference on Management, Business, Innovation, Education and Social Sciences (Co
Publisher : Universitas Internasional Batam

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

Abstract

Komunikasi lisan merupakan komunikasi secara langsung kepada lawan bicara dengan cara mengungkapkan apa yang ada di pikiran dengan kata-kata secara lisan. Sering kali di dalam komunikasi lisan adanya interupsi. Interupsi adalah salah bentuk alih giliran. Banyaknya orang tidak sadar melakukan interupsi di dalam komunikasi lisan. Dengan adanya teknologi dapat mendeteksi interupsi jenis ketumpangtindihan dan dapat menginformasikan jumlah interupsi yang telah dilakukan. Dengan begitu, penelitian ini dibangun dengan metode scrum dan menggunakan bahasa Swift serta didukung dengan PHP. Luaran dari penelitian ini adalah aplikasi iOS yang mampu mendeteksi interupsi komunikasi lisan secara virtual.
Co-Authors Aldovanda Haflah Setiawan Alex Setiawan Aliefazlea, Qanaya Dherryl Anderson, Atnan Ari Anson Anson Basiron, Halizah Chadric, Felix Charles, Kevin Christina, Lidya Daniel Lim David David Dayton Dayton Delvin Jason Derwin Galen Dr. Hendi Sama, S.Kom., M.M.e-Business. Edwin Charley Eka Sucipto Elia, Elia Elvert Elvert Eric Lau Erlina Erlina Erwin Erwin Felix Favian Felix, Ivan Firmansyah, Muhamad Dody Firmansyah, Muhammad Dody Franky Chainoor Johari Haeruddin Haeruddin Haeruddin, . Haslim, Sartika Dewi Hendi Sama Hertianto Hertianto Hosse Fernando Irawan, Calvianthieno Ivan Felix Jacky Jacky Jacky, Jacky Jason Aaron Yang Jenary Randa Liling Jenry Winata Jesselyn Jesslyn, Jesslyn Jimmy Chandra Jonathan Jonathan Josua Yoprisyanto Julyan Adi Saputra Julyan Adi Saputra Julyanto Julyanto Junifer, Junifer Juzariah Juzariah Juzariah, Juzariah Kelvin Wijaya, Kelvin Kelvyn Kelvyn Kelvyn Kendrik Jonatan Kenny Wilson Lubis, Nywara Natriyasmara Melsen Melsen Muhamad Dody Firmansyah Muhammad Ardiansyah Mungkap Mangapul Siahaan Novita Putri Parlindungan Tampubolon Petrick Handy Putra Prasetyo, Stefanus Eko Purwandi, Nellsen Puspitasari, Divanaka Putra, Muhamad Zhabiyan Dwi Putri, Novita Randa Liling, Jenary Regina, Alya Renata, Doreen Rio Fernando, Rio Rosario, Rakit Ricardo Ryan Gunawan Ryo Winata Salsabila, Nanda Salsabilah, Anisah Sama, Hendi Setiawan, Aldovanda Haflah Shanata Limanto Sherlyn, Sherlyn Shermay Sihombing, Angelika Putri Stephanie Stephanie Steven Steven Susanti, Aida Suwarno Suwarno Suwarno Tjahyadi, Surya Tony Jack Tan Ding Welliam Ali Welliam Ali Wilson, Wilson Wiyandi, Wiyandi Yang, Jason Aaron Yasa, Irma Sefina Yu Lun Zoin, Shania Zulkarnain, Nur Zareen