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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JIKO (Jurnal Informatika dan Komputer) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Prosiding National Conference for Community Service Project Jurnal Teknologi Informasi dan Komunikasi Telcomatics Journal of Information System and Technology (JOINT) 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
Syaeful Anas Aklani
Universitas Internasional Batam
Aerospace Engineering Arts 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 Environmental Science Mechanical Engineering Social Sciences Other

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Perancangan Sistem Pencatatan dan Laporan Keuangan Berbasis Web pada CV Chalista Engineering Batam Syaeful Anas Aklani; Daniel Lim
Conference on Business, Social Sciences and Technology (CoNeScINTech) Vol 1 No 1 (2021): Conference on Business, Social Sciences and Technology (CoNeScINTech)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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Abstract

CV Chalista Engineering Batam is a business producing tools to hold goods or hardware in the production process located at Ruko Tembesi Point, Batu Aji District, Batam. This company has a problem with paper-based financial records and manual reporting using excel. So the company needs a system that can record and generate reports. The method used in the design and development is the System Development Life Cycle (SDLC) method by conducting needs analysis, design, development, testing, and implementation. The results of this study are a web-based financial reporting and recording system for CV Chalista Engineering Batam. With this system, the financial recording process will be easier, more effective and minimize the occurrence of data errors.
Perancangan dan Pengembangan Websıte Company Profıle dan Sıstem Pemesanan Melaluı Chat Pada Mını Brown Cheese Cake Syaeful Anas Aklani; Derwin Galen
Conference on Business, Social Sciences and Technology (CoNeScINTech) Vol 1 No 1 (2021): Conference on Business, Social Sciences and Technology (CoNeScINTech)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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Abstract

The aim of this community service program is to increase way to promote, information, and buy Mini Brown Cheese Cake products by making a company profile website that can also order by using chat. The partners in this program are Mini Brown Cheese Cake, which is a cake shop that mainly sells cheese cake as it’s main product. This cake shop has been founded in 2016 and is located at Ruko Mahkota Raya Blok C No 06, Teluk Tering, Batam City. Besides the shop at Batam City it also has branches in Pekanbaru City, Pontianak City, and Banjarmasin City. The method used in to develop this company profile website is SDLC (Software Development Life Cycle) Method. This study results show that this website can help reaching new audiences and can also help with the legitimacy of a company.
The Design of the Promotional Media as a Form of Anti-Passion Against the Decline of the Economist of Star Mılkshake During the COVID-19 Pandemic Syaeful Anas Aklani; Aldovanda Haflah Setiawan
Conference on Business, Social Sciences and Technology (CoNeScINTech) Vol 2 No 1 (2022): Conference on Business, Social Sciences and Technology (CoNeScINTech)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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Abstract

The use of the internet in human life is made more accessible because the delivery of information and promotion in the MSME sector has become more structured and systematic, which makes visual communication media in the form of video the first choice used in addition to messages in the form of text, brochures or websites. The promotional video is an alternative form to increase the power of visitors and buyers to find MSMEs efficiently and quickly; Star Milkshake is an MSME that is engaged in the culinary field in the form of drinks with various compositions and flavors. In this study, the author uses the MDLC method, which explains in a structured manner starting from conceptualizing, designing, collecting data, collecting data, testing, and distributing. The result of this applied research is the creation of an increase in the economy and income of MSME owners from around 400 thousand per day to 600-750 thousand.
Perancangan Front End Website Profile Builder Menggunakan Framework React Js Pada PT. Pundi Mas Berjaya Syaeful Anas Aklani; Jenary Randa Liling
National Conference for Community Service Project (NaCosPro) Vol 5 No 1 (2023): The 5th National Conference for Community Service Project 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v5i1.8028

Abstract

Penelitian ini bertujuan untuk merancang sebuah sistem yang dibutuhkan oleh mitra Program Magang dan Studi Independen Bersertifikat (MSIB), PT Pundi Mas Berjaya untuk membuat sebuah website company profile yaitu sistem Website Profile Builder. Sistem Website Profile Builder adalah sebuah sistem berbasis website yang bertujuan untuk membantu pengguna dalam mengembangkan bisnisnya dengan cara membuat website dengan mudah sesuai dengan kreasinya. Sistem dirancang dengan menggunakan metode SDLC (Software Development Life Cycle), meliputi tahapan analisa kebutuhan, membangun dan evaluasi prototype, pengembangan sistem, pengujian sistem, dan evaluasi sistem. Perancangan Pengkodean antarmuka sistem menggunakan framework React JS. Setelah implementasi selesai, sistem yang telah dirancang dan dikembangkan dipresentasikan melalui webinar penutupan program MSIB.
Peran Analis dalam Pengembangan Rancangan Sistem Perkebunan (Hortus) pada PT. Pundi Mas Berjaya Syaeful Anas Aklani; Novita Putri
National Conference for Community Service Project (NaCosPro) Vol 5 No 1 (2023): The 5th National Conference for Community Service Project 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v5i1.7948

Abstract

Kegiatan magang ini bertujuan untuk menganalisis dan merancangkan sistem software perkebunan Hortus untuk perusahaan PT. Pundi Mas Berjaya melalui kegiatan Magang dan Studi Independen Bersertifikat (MSIB). Pembuatan sistem ini bertujuan untuk menghasilkan sistem yang handal dan efisien untuk administrasi dan inventaris perkebunan untuk mempermudah pengelolaan data dan mengurangi terjadinya kesalahan. Metode yang digunakan dalam perancangan sistem perkebunan ini adalah SDLC (Software Development Life Cycle), meliputi analisa kebutuhan, membangun dan evaluasi prototype, pengembangan sistem, pengujian sistem, dan evaluasi sistem. Perancangan sistem melibatkan analisis data, fitur sistem dan penentuan alur sistem, serta pembuatan diagram seperti flowchart, DFD, usecase, ERD, dan desain prototype. Setelah implementasi selesai, hasil yang telah dirancang dan dikembangkan dipresentasikan melalui webinar kepada mitra perusahaan.
TRAVEL ITINERARY RECOMMENDER SYSTEM USING MACHINE LEARNING ANALYSIS AND WEB APPLICATION DEVELOPMENT: A CASE OF BATAM CITY REGION Hosse Fernando; Syaeful Anas Aklani
JURNAL ILMIAH BETRIK Vol. 14 No. 01 APRIL (2023): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v14i01.12

Abstract

Batam City is an island with a complete and diverse point of destination (POI). Searching for information is common when someone is making a travel itinerary. With the help of technology, planning a trip should be fast and easy. In this study, the authors will build a web application-based recommender system with the help of machine learning. This study uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development method and then the TAM Model (Technology Acceptance Model) to analyze the effectiveness. The results of system testing show a range of scores with the lowest value 0.509 and the highest value 0.572. This score indicates the degree of correlation between the test and the underlying construct it is designed to measure. A score of 0.509 indicates a weak correlation between the test and constructs, while a score of 0.572 indicates a stronger correlation. Score above 0.5 Thus, the authors hope that this research can be used as a reference or knowledge for future readers or researchers.
ANALISIS ALGORITMA MONTE CARLO UNTUK MEMPREDIKSI KEUNTUNGAN PEMBANGUNAN APARTEMEN MENGGUNAKAN SCRUM FRAMEWORK Welliam Ali; Syaeful Anas Aklani
JURNAL ILMIAH BETRIK Vol. 13 No. 03 DESEMBER (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i03 DESEMBER.35

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 Vol. 13 No. 03 DESEMBER (2022): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v13i03 DESEMBER.50

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.
Co-Authors Aldovanda Haflah Setiawan Alex Setiawan Anson Anson Daniel Lim David David Dayton Dayton Derwin Galen Edwin Charley Eka Sucipto Elvert Elvert Eric Lau Erlina Erlina Erwin Erwin Felix Favian Franky Chainoor Johari Hertianto Hertianto Hosse Fernando Jacky Jacky Jason Aaron Yang Jenary Randa Liling Jenry Winata Jimmy Chandra Jonathan Jonathan Julyan Adi Saputra Julyan Adi Saputra Julyanto Julyanto Juzariah Juzariah Kelvyn Kelvyn Kelvyn Melsen Melsen Novita Putri Parlindungan Tampubolon Petrick Handy Putra Ryan Gunawan Ryo Winata Shanata Limanto Stephanie Stephanie Steven Steven Welliam Ali Welliam Ali Yu Lun