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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JREC (Journal of Electrical and Electronics) Jurnal Algoritma Jurnal Informatika Journal of Information System Wikrama Parahita : Jurnal Pengabdian Masyarakat Information System for Educators and Professionals : Journal of Information System Faktor Exacta Technomedia Journal Petir JSI (Jurnal sistem Informasi) Universitas Suryadarma JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Pengabdian Al-Ikhlas Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) Bulletin of Information Technology (BIT) Jurnal Algoritma INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Dharmabakti Nagri International Journal of Information Technology and Computer Science Applications (IJITCSA) Indo Green Journal Journal of Computer Science Contributions (Jucosco) Jurnal Rekayasa Informasi Journal of Informatics and Information Security Indo Green Journal Jurnal Riset Informatika dan Teknologi Informasi (JRITI)

Dwipa Handayani

Informatics, Faculty Of Computer Science, Bhayangkara Jakarta Raya University

Author-ID : 5332539

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Pemanfaatan Google My Business Untuk Peningkatan Digital Skill Pengelolaan Pariwisata Pada Geopark Youth Forum (GYF) Badan Pengelola Geopark Bayah Dome Tb Ai Munandar; Dwipa Handayani; Tyastuti Sri Lestari
Jurnal Dharmabakti Nagri Vol 1 No 2 (2023): April 2023 - Juli 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Geopark Youth Forum (GYF) merupakan komunitas yang dibentuk di bawah pembinaan dan pengawasan Badan Pengelola Geopark Bayah Dome, Kabupaten Lebak, Provinsi Banten. Tugas utamanya adalah membantu Badan Pengelola untuk melakukan edukasi dan promosi kawasan wisata Geopark Bayah Dome serta pengelolaan wisata geosite yang dimilikinya. Kemampuan penggunaan teknologi digital memang sudah dimiliki oleh anggota GYF, namun optimalisasi teknologi digital tersebut untuk menatakelola sektor pariwisata masih belum memadai. Kegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk memberikan digital skill bagi anggota GYF agar mampu mempromosikan, mengelola dan memasarkan kawasan wisata Geopark Bayah Dome, khususnya menggunakan platform Google My Business (GMB). Harapannya adalah, dengan kemampuan digital yang memadai mampu menciptakan peluang usaha pada sektor pariwisata sehingga mampu meningkatkan perekonomian wilayah berkelanjutan. Kegiatan pengabdian diawali dengan tahap idenditikasi permasalahan, diskusi dengan mitra untuk penyusunan program kerja, pelaksanaan serta evaluasi. Hasil pelaksanaan pengabdian masyarakat memperlihatkan bahwa terjadi peningkatan pemahaman tentang fungsi, manfaat serta penggunaan Google My Business untuk keperluan pengelolaan usaha pada sektor pariwisata. Hasil pre-test kemampuan peserta pelatihan memperlihatkan sebanyak 10% tidak mengetahui fungsi dan manfaat Google My Business, sedangkan sebanyak 21.1% menyatakan belum mengetahui cara pendaftaran platform GMB untuk kebutuhan pengelolaan usaha. Hasil post-test setelah pelatihan memperlihatkan semua peserta telah memahami fungsi, manfaat dan cara mendaftarkan usaha melalui platform GMB.

PERANCANGAN APLIKASI MEDIA PEMBELAJARAN UNTUK MELATIH MOTORIK ANAK BERKEBUTUHAN KHUSUS (AUTIS) BERBASIS ANDROID Dwipa Handayani; Hendarman Lubis
JURNAL REKAYASA INFORMASI Vol 8 No 2 (2019): Jurnal Rekayasa Informasi
Publisher : PROGRAM STUDI SISTEM INFORMASI INSTITUT SAINS DAN TEKNOLOGI NASIONAL (ISTN)

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Autism is a condition that causes children to only have attention to their own world. Autism is also a category of disability that is characterized by disturbances in social interactions, play patterns, and emotional behavior. Data collection methods used in this study, namely observation, interviews, studies literature, literature studies, questionnaires, and system development methods. System development methods used in the development of learning media applications to train motorized children with special needs based on android is the RAD (Rapid Application Development) method. Functional testing systems are carried out using black box testing. With the development of learning media applications to train motorized children with special needs based on Android, helping parents or therapists in providing learning media for children with special needs (autism) wherever and whenever efficiently. Keywords: application, children with special needs (autism), Rapid Application Development, android.

PERANCANGAN SISTEM INFORMASI TABUNGAN SISWA MENGGUNAKAN METODE RAD (RAPID APPLICATION DEVELOPMENT )BERBASIS WEB Dwipa Handayani; Hendarman Lubis
JURNAL REKAYASA INFORMASI Vol 11 No 2 (2022): JURNAL REKAYASA INFORMASI Vol 11 No 2 Oktober 2022
Publisher : PROGRAM STUDI SISTEM INFORMASI INSTITUT SAINS DAN TEKNOLOGI NASIONAL (ISTN)

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Savings is one of the various kinds of banking products that are most in demand by the public, ranging from students, entrepreneurs, and the general public. Data collection methods used in this study, namely observation, interviews, literature study, literature study, questionnaires, and system development methods. The system development method used in the development of learning media applications to train the motoric skills of children with special needs based on Android is the RAD (Rapid Application Development) method. System functional testing is done using black box testing. With the development of a student savings information system, it is easier for teachers to process student savings transactions and withdrawals of student savings so as to reduce the risk of damage or loss. Keywords: Rapid Application Development, Information Systems, Students, Savings, web

K-Means Cluster Algorithm for Grouping Inequality in Regional Development Munandar, Tb Ai; Handayani, Dwipa
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 1 (2023): January - April 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Unsupervised learning is a subset of machine learning. Many unsupervised learning algorithms are used to solve various problems, especially the extraction of hidden data patterns. One of the problems that concerns unsupervised tasks is clustering. Clustering techniques are widely used for data grouping needs, one of which is development inequality clustering. The classification of development inequality is an important consideration in a country's regional development strategy. However, development groupings often do not pay attention to the hidden information aspects of the data, so they do not get the appropriate results. This research was conducted to provide an additional alternative in the realm of development inequality clustering, namely by classifying development data using the k-means algorithm. The data used is GRDP data for 41 regions in the western part of Java Island for the 2010–2021 range. The results show that the forty-one regions are grouped into four clusters. The first cluster (C1) contains 35 regions, the second cluster (C2) contains three regions, the third cluster (C3) contains four regions, and the fourth cluster (C4) contains three regions. Based on the cluster results, it can be seen that all members of cluster C4 are areas with the best level of development, while cluster C1 is the area with the lowest level of development. As for clusters C2 and C3, these are areas with development levels between clusters C1 and C4. The grouping results can be used by policymakers or local governments to determine the direction of future development priorities based on the cluster with the lowest level of development.

Comparative Study of Classification Algorithms for Customer Decisions on Telecommunication Products Using Supervised Learning Kristian Vieri, Jhon; Munandar, Tb Ai; Srisulistiowati, Dwi Budi; Handayani, Dwipa; No’eman, Achmad; Sri Lestari, Tyastuti
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Customers are the main goal of all business fields, without customers the company will not be able to continue or compete in the business field it is in, even though the company has brilliant products, if it does not have an increase in the number of customers the business will not be able to develop or even go bankrupt. Therefore, it is necessary to make observations and make applications that are able to predict customers who will subscribe so that companies can predict customers who will subscribe correctly without having to wait for confirmation from customers whose possibilities are still unknown. This can be very useful for any company because companies no longer need to look for random customers where it only takes time to find customers. PT. Telekomunikasi Indonesia with its product (Indihome) which is struggling to compete in the business world in the telecommunications and internet sector. Therefore research and development of this application are carried out so that PT. Indonesian telecommunications can get its customers quickly without having to spend a lot of money and effort. Making this application uses a classification method from machine learning technology based on customer historical data. The classification method has many strong algorithms for predicting variables that have more than 1 label. Some of the algorithms used are Logistic Regression, Random Forest Classifier, Support Vector Machine and Decision Tree which are provided by modules in the python programming language, namely SkLearn. The four algorithms will be tested with data balanced using the Oversampling method from the Smote algorithm to get optimal results in automatically predicting customers.

Bayadome Geotours (BATOUR) Prototype for Geosite Management at Bayah Dome Geopark, Banten Munandar, Tb Ai; Sri Lestari, Tyastuti; Handayani, Dwipa; Noe’man,, Achmad; Fathurrazi, Ahmad; Priatna, Wowon; Karyaningsih, Dentik; Kapriadi, Engkap
International Journal of Information Technology and Computer Science Applications Vol. 2 No. 1 (2024): January - April 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v2i1.119

The objective of this study is to create a technology-driven application prototype, named "Bayadome Geotours," as a cutting-edge solution to enhance geotourism governance and environmental conservation in the Bayah Dome Geopark, Banten. This research advances the utilisation of information and geospatial technology to improve visitor experiences and bolster local community involvement. It achieves this through an emphasis on needs analysis, prototype design, implementation, and testing. The Bayadome Geotours prototype is specifically engineered to offer a dynamic and engaging tourism encounter. Geospatial navigation capabilities enable users to digitally explore geosites, while an intuitive user interface assures accessibility for visitors with different levels of knowledge. This programme offers precise and comprehensive geological information, providing a novel method to enhance comprehension of the geological resources found in the Bayah Dome Geopark. Bayadome Geotours is a good example of the value of local community involvement in geotourism administration. This application serves as both a travel guide and a venue for the exchange of knowledge, local narratives, and cultural heritage. Engaging the public in sharing information fosters a stronger connection between tourists and the environment, resulting in a beneficial influence on the preservation of geosites and the overall management of destinations. Prototype testing conducted using a unit testing methodology demonstrates the successful execution of all system functionalities. The JEST tool's test results confirm that the Bayadome Geotours application is prepared for distribution to the general user base. Nevertheless, there are obstacles in the way of effectively managing and modernising the application, as well as achieving general acceptance, that must be addressed in order to guarantee the ongoing triumph of this prototype. However, Bayadome Geotours has created significant opportunities for advancing sustainable geotourism governance.

Exemplary Teacher Selection Using a VIKOR-Based Decision Support System Handayani, Dwipa; Yusuf, Dani; Larasati, Gabriella Putri; Ardhiyanto, Ozzi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.8311

Yadika 13 Tambun Vocational School has criteria where the school does not yet have a system that can support a decision. The decision support system (DSS) for selecting exemplary teachers in appreciating teacher performance presentations that have been made while teaching staff is expected to increase motivation so that they can improve their performance. Many DSS methods are used to find a decision in this study. The method to be used is VIseKriterijumska Optimizacija I Kompromisno Resenje, (VIKOR) which can produce the best alternative in the form of ranking of an existing sample by looking at the utility values and weights of each sample. This study describes the design of a decision support system for conducting assessments in selecting exemplary teachers at SMK Yadika 13 Tambun. System design using UML (Unified Modeling Language). The decision support system (DSS) is very helpful for those who will carry out the assessment process, before there was a decision support system the school always found it difficult to assess because it took quite a long time, the assessment was still done manually, it was difficult to calculate the assessment, sometimes there is an error in the assessment results. Therefore, this decision support system, it can help the school minimize these problems.

Workshop Membangun Perusahaan Perseorangan Untuk Usaha Bidang IT Untuk Mahasiswa Semester Akhir Universitas Bhayangkara Jakarta Raya Munandar, Tb Ai; Handayani, Dwipa; Wulandari, Retno
Jurnal Dharmabakti Nagri Vol 2 No 1 (2023): Desember 2023 - Maret 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jdn.v2i1.105

The community service activity entitled "Workshop on Building Individual Companies for Businesses in the IT Sector for Final Semester Students at Bhayangkara University, Jakarta Raya" is a real effort to increase the knowledge and skills of final semester students in planning and managing individual companies in the Information Technology (IT) sector. This workshop aims to provide practical guidance in starting an IT company, introduce the legal aspects of IT business, and invite students to apply their knowledge in real situations. This activity covers various relevant topics, such as business planning, IT product development, financial management, marketing strategy, and legal aspects related to IT business. In addition, the workshop also involved experienced IT practitioners and entrepreneurs as guest speakers, who provided invaluable practical insights. The results of this workshop reflect an increase in participants' understanding and skills in planning and starting an IT business. Participants have a better understanding of the process of registering a private company online via the AHU website and the importance of registering for a Kemenkumham permit. This workshop not only improves conceptual understanding, but also provides practical skills that can be applied in the real world. Thus, this workshop has a positive impact on the development of entrepreneurship among final semester students at Bhayangkara University, Jakarta Raya. Furthermore, sustainability evaluations and follow-up steps are needed to ensure that the knowledge and skills acquired remain sustainable and support students in their efforts to become entrepreneurs in the IT industry.

Workshop Peningkatan Pemahaman Profesi Software Engineer Bagi Calon Entrepreneur Muda Mahasiswa Semester Akhir FASILKOM UBHARA JAYA Handayani, Dwipa; Tb Ai Munandar; Retno Wulandari
Jurnal Dharmabakti Nagri Vol 2 No 1 (2023): Desember 2023 - Maret 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jdn.v2i1.117

Workshop Peningkatan Pemahaman Profesi Software Engineer Bagi Calon Entrepreneur Muda Mahasiswa Semester Akhir FASILKOM UBHARA JAYA merupakan Pengabdian kepada Masyarakat (PKM) yang bertujuan untuk meningkatkan pemahaman mahasiswa terhadap profesi software engineer dengan fokus pada kesiapan menjadi calon entrepreneur muda. Workshop ini dilaksanakan secara daring melalui platform Zoom Meeting dengan melibatkan 40 mahasiswa semester akhir FASILKOM UBHARA JAYA. Materi workshop dirancang untuk memberikan pemahaman holistik tentang peran software engineer dalam industri teknologi informasi yang terus berkembang. Workshop dilaksanakan dalam tiga sesi utama: pengantar profesi software engineer, keterampilan dan pengetahuan yang diperlukan, serta kesiapan menjadi entrepreneur muda. Sesi praktikum yang diselenggarakan memberikan peserta pengalaman langsung dalam menerapkan konsep-konsep yang telah dipelajari. Hasil pelaksanaan workshop menunjukkan peningkatan pemahaman peserta terhadap profesi software engineer dan kewirausahaan. Tanggapan positif peserta mencerminkan daya tarik materi dan metode penyampaian, serta identifikasi peningkatan minat terhadap kewirausahaan di antara peserta. Meskipun beberapa peserta menghadapi kendala teknis, respons cepat dan panduan tambahan dari tim pelaksana memastikan kelancaran workshop. Hasil workshop dapat memberikan manfaat lebih luas kepada masyarakat akademis dan industri. Kata Kunci: Workshop, Profesi Software Engineer, Kewirausahaan, Peningkatan Pemahaman, Mahasiswa, Teknologi Informasi

Analisa Perancangan Sistem Informasi Dengan Fitur Rekomendasi Menggunakan Algoritma Apriori Fathurrozi, Ahmad; Hariyanto; Prio Pamungkas, R Wisnu; Kustanto, Prio; Noeman, Achmad; Handayani, Dwipa
Technomedia Journal Vol 8 No 2 Oktober (2023): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v8i2.2003

This Ilham Green Shop has just started an online business by selling types of plants which are a growing business area now, but this Ilham Green Shop only has a few buyers, this is because the Ilham Green Shop has not been seen or heard among the public, so it is necessary a sales information system with a recommendation feature built using the PHP and MySQL programming languages and tested by the blackbox - testing method. Data collection techniques used are observation, interviews, and literature study. For processing sales transaction data using the Apriori Algorithm to get more accuracy in the process of processing data on the plant sales information system to find data on the best-selling plant products and see the buying pattern of a buyer by calculating the minimum support value and minimum confidence value to determine the association rules for a combination of itemset. . The results of the Apriori Algorithm calculation in this sales information system with sales transaction data from 03 December 2021 – 30 May 2022 obtained from Ilham Green Shop obtained the lift test value of 1.55 using the minimum support value = 10%, the minimum confidence value = 40% who form association rules with a confidence value of 93.55%. From these results it can be concluded, by processing plant product data with the Apriori Algorithm, it is able to provide good plant recommendations, so Ilham Green Shop can determine a strategy by multiplying the best-selling plant nurseries to get a lot of profit and recommending them to attract buyers' interest.

Co-Authors Abrar Hiswara Achmad Noe'man Achmad Noeman Achmad Noeman Achmad Noeman Adi Muhajirin Agus Hidayat Agus Hidayat Akbar Rafni Rafsan Jani Andy Achmad Hendharsetiawan Ardhiyanto, Ozzi Arif Rifai Dwiyanto Asep Ramdhani Mahbub Asghor, Ali Asrika, Sukwati Dewi Ayu Diah Rositawati Bayu Pratama Caroline Julyana Magdalena S. Chan, Muhammad Nauval Damara, Rian Dani Yusuf Dani Yusuf Dani Yusuf Deo Pratama Putra Dian Hartanti Dian Hartanti Dimas Permadi Dwi Budi Srisulistiowati Dwidayanto, Ardiansyah Dwijayanthi Nirmala, Indah Fadhillah, Muhammad Fahmi Fadilah, Fikki Arsyi Nur Fadillah P, Yoga Fathurrazi, Ahmad Fathurrozi, Ahmad Febian, Guruh Putra Fitriyani, Linda Fransisco Leo Sinema Gea Fried Sinlae Ginting, Andre Saputra Ginting, Brian Permana Haikkal, Mochammad Hanif, Farhan Abiyyu Hantoro, Kusdarnowo Hariyanto Hasri, Sutan Keysar Gifari Hendarman Hendarman Hendarman, Hendarman Hendarman Lubis Hendharsetiawan, Andy Achmad Herdiansyah, Dafa ISNAWATI Isyadi, Muhammad Zhidan Jani, Akbar Rafni Rafsan Kapriadi, Engkap Karyaningsih, Dentik Kristian Vieri, Jhon Kurnia, Ferdi Kurniawan, Kelvin Kusnadi, Aldiansyah Kustanto , Prio Kusumah, Muhammad Assegaf Raja Larasati, Gabriella Putri Lestari, Tyastuti Sri Lubis, Hendarman Mahbub, Asep Ramdhani Maulana, Muhammad Ismam Mayadi Mhammadin, Habib Mugiarso Mugiarso, Mugiarso Muhammad Yasir Muhammad Yasir Muhammad Yazid Mukhlis Nadhif Yogaswara Nafianto, Dwi Noema, Achmad Noeman, Achmad Noe’man,, Achmad No’eman, Achmad Nur Afifah Nurfirdaus, Muh. Iqbal Rizky Pamungkas, Arya Panca Priatna , Wowon Prio Pamungkas, R Wisnu Pujiono, Krisna Dimas Rabbani, Nizar Bagoes Rafi, Athala Rahelliana Tinambunan Rahma Vadilla Raihan, Abdul Muhammad Rasim, Rasim Ratna Salkiawati Retno Wulandari Retno Wulandari Robertus Suraji RR. Ella Evrita Hestiandari Santi Noviyanti Saputra, Virga Hendra Siti Setiawati Sri Lestari, Tyastuti Sri Marini Tb Ai Munandar Tb Ai Munandar Tb Ai Munandar, Tb Ai Triawati, Hervira Tyastuti Sri Lestari Verdi Ganda Manalu WAHYUDI, DIKI Wicaksono, Ahmad Bayu Widyanto, Abdillah Prayoga Wiwiet Yuliana Putri Zahir, Muhammad Rafli Alta Zebua, Yedija Salomo

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