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All Journal ComEngApp : Computer Engineering and Applications Journal Syntax Jurnal Informatika Fountain of Informatics Journal Format : Jurnal Imiah Teknik Informatika Jurnal Informatika Jurnal Ilmiah FIFO Faktor Exacta Jurnal Pengabdian Pada Masyarakat InComTech: Jurnal Telekomunikasi dan Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) IKRA-ITH ABDIMAS JURIKOM (Jurnal Riset Komputer) IJISCS (International Journal Of Information System and Computer Science) MULTINETICS Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Jurnal Ilmu Teknik dan Komputer Jurnal Pengabdian Masyarakat Asia Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia International Journal of Advanced Multidisciplinary Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Systems Engineering and Information Technology IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Jurnal Pengabdian Pada Masyarakat Media Abdimas Kapas: Kumpulan Artikel Pengabdian Masyarakat Sinergi: Jurnal Pengabdian Kepada Masyarakat IRA Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Nasional Jurnal Pengabdian Masyarakat Nauli CSRID KOMPUTASI

Saruni Dwiasnati

Universitas Mercu Buana

Author-ID : 2543440

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Kerangka Kerja Sistem Kecerdasan Buatan dalam Meningkatkan Kompetensi Sumber Daya Manusia Indonesia Yudo Devianto; Saruni Dwiasnati
InComTech : Jurnal Telekomunikasi dan Komputer Vol 10, No 1 (2020)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v10i1.7460

Di zaman yang semakin berkembang ini yaitu era digital, teknologi merupakan suatu hal yang sangat penting. Dunia pada saat ini tengah menghadapi era teknologi atau biasa disebut revolusi industri 4.0. kondisi tersebut ditandai langsung dengan penggunaan mesin digital dan internet yang menyebabkan perubahan yang cepat dan signifikan terhadap segala sektor kehidupan manusia sehingga memudahkan manusia dalam melakukan berbagai pekerjaan. Era transformasi digital adalah bagian proses dari teknologi yang lebih besar, dan ini adalah perubahan yang berhubungan dengan penerapan teknologi digital dalam aspek kehidupan yang ada pada masyarkat. Kecerdasan buatan adalah suatu ilmu yang mempelajari cara membuat komputer melakukan sesuatu seperti yang dilakukan oleh manusia. Diperlukan sebuah kerangka kerja sistem kecerdasan buatan yang dapat diterapkan dalam pengembangan ilm pengetahuan, teknologi dan seni di Indonesia. Paper ini mencoba membahas kerangka kerja Case Based Reasoning (CBR) dalam pengembangan sistem kecerdasan buatan. Diharapkan kerangka kerja ini dapat menjadi acuan penerapan sistem kecerdasan di Indonesia.

KEGIATAN PEMBUATAN APLIKASI PENGISIAN DAN LAPORAN NILAI UJIAN MENGGUNAKAN MICROSOFT ACCESS Yudo Devianto; Saruni Dwiasnati
Jurnal Pengabdian Masyarakat Vol 2 No 2 (2021): Jurnal Pengabdian Masyarakat
Publisher : LP2M Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v2i2.235

Analisis situasi sangat dibutuhkan untuk setiap kegiatan. Analisis situasi diperlukan untuk mendapatkan data terkait kondisi fisik, sarana maupun prasarana yang ada di SD Negeri 05 Meruya Utara. Hasil analisis situasi inilah yang kemudian akan dijadikan pedoman dalam menentukan program kerja individu maupun kelompok. Tempat dimana akan dilakukan kegiatan Pengabdian Kepada Masyarakat, SD Negeri 05 Meruya Utara, yang akan terlibat dalam kegiatan ini adalah para guru dan tata usaha sekolah, mereka membutuhkan pembaharuan pengetahuan tentang aplikasi office tersebut, salah satunya adalah Microsoft Access. Melakukan koordinasi dengan Sekolah SD Negeri 05 Meruya Utara tentang siapa saja peserta yang akan mengikuti pelatihan. Membatasi jumlah peserta 20 orang. Memberikan undangan kepada peserta untuk dapat hadir pada hari yang sudah ditentukan atau disepakati bersama. Keberhasilan pelaksanaan program pengabdian masyarakat ini dapat dilihat, respons positif dari peserta pelatihan, meningkatnya keterampilan peserta setelah mendapat pelatihan.

Implementasi Absensi Karyawan Menggunakan Algoritma Haversine dengan Global Posisitioning System Berbasis Android Fajar Antono; Saruni Dwiasnati
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 6 No 1 (2022): Jurnal Esensi Infokom : Jurnal esensi sistem informasi dan sistem komputer Vol 6
Publisher : Lembaga Riset dan Pengabdian Masyarakat Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v6i1.459

Perusahaan yang berkembang merupakan perusahaan yang memiliki tata kelola perusahaan yang baik yaitu dengan penerapan presensi dan manajemen jam kerja karyawan. Perkembangan perusahaan juga didukung oleh perkembangan teknologi dimana teknologi informasi saat ini berkembang pesat dan cepat yaitu teknologi mobile. Komunikasi mobile dapat mempermudah masyarakat untuk memperoleh informasi yang cepat dengan akses internet. PT. Bangsawan Cyberindo merupakan perusahaan yang masih menerapkan presensi dan manajemen jam karyawan secara manual. Namun dalam pelaksanaannya, pihak manajemen masih kesulitan dalam memantau dan merekapitulasi data presensi dan jam kerja karyawan. Sehingga perusahaan membutuhkan suatu sistem yang tepat dan berguna agar dapat membantu pihak manajemen. Dengan demikian, Penerapan digitalisasi sistem presensi ini menggunakan fungsi Global Posisitiong System (GPS) pada perangkat Android dan menerapkan algoritma Haversine Formula untuk perhitungan jarak antara titik posisi kantor ke titik posisi user. Untuk menampilkan peta lokasi kantor pusat dan cabang terdekat, sistem terintegrasi dengan Google Map. Hasil pengujian dapat disimpulkan bahwa perhitungan jarak antara sistem dengan perhitungan yang dilakukan secara manual hanya berbeda ± 0,0018 meter.

Optimasi Prediksi Bencana Banjir menggunakan Algoritma SVM untuk penentuan Daerah Rawan Bencana Banjir Saruni Dwiasnati; Yudo Devianto
Prosiding SISFOTEK Vol 5 No 1 (2021): SISFOTEK V 2021
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.22 KB)

Flooding is one factor that can cause an economic slowdown in the affected area. Bandung is known as the "City of Flowers" and "City of Fashion," since the term refers to the city's many different modes that sprout up in various locations to facilitate the purchasing and selling process. Bandung not only gave rise to fashion trends that would become popular year after year, but it also had a plethora of traditional cuisine dishes that were both unique and exciting. Because of this, Bandung Regency is now one of the flood-prone areas in the country. It will be easier to deliver information to communities in the Bandung Regency that are included in Flood-Prone Areas or Non-Flood-Prone Areas if a model of flood-prone areas is created. The SVM method is a technique that may be used in classification and regression and has recently become quite popular. In terms of functions and conditions of problems that can be solved, SVM is similar to Artificial Neural Network (ANN), and to improve its accuracy, it uses what can be optimized with PSO (Particle Swarm Optimization), where the test data used is BNPB official website data, BPS Bandung District, and BMKG that has been processed. Data included in the classification criteria for Flood Prone Areas are Rainfall Intensity, Water Discharge, Area, Length of Rain, and Population Density. The accuracy rate generated by using the SVM algorithm is 85.71% and the AUC generated is 0.841 while the accuracy rate generated by using the PSM-based SVM algorithm is 97.62%. and AUC produced at 1,000

Perancangan Sistem Penerimaan Siswa Baru Berbasis Web Pada Sekolah Dasar Islam Plus Baitul Maal Herfandi Herfandi; Saruni Dwiasnati; Kiki Ahmad Baihaqi; reza Avrizal
Faktor Exacta Vol 15, No 2 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i2.12894

Islamic-based education in Indonesia is an educational institution that focuses on forming the character and knowledge of Islamic religious values. Islamic Elementary School Education Institute Plus Baitul Maal in carrying out educational administration procedures still uses the conventional system. The procedure that took place has not been efficient because prospective students are required to complete the registration form sheet by manual means and still stored in the folder. The implementation of information system technology in the education sector is able to provide convenience, especially in terms of efficientness, accuracy and novelty of information. Therefore, the design and creation of a website-based new student admission information system is expected to be able to solve the problem. This research resulted in a website-based new student admission information system with the main Page having Home, About Us, How to Apply, and Contact functionality. The student dashboard page has Home, Student Profile, Document functionality. The admin dashboard page has the functionality of Home, Website Content, Management, Document Completeness, and Settings as an admin user management serves to set up admin accounts (Create, Record, Update and Delete (CRUD) for admin accounts), development methods using waterfalls, research methods using qualitative and information system testing using black box testing that gets conclusions according to various functionality tests. This system is expected to ease the work of new student admission administrators as well as adjustments to education in the Industrial 4.0 era.

Implementasi Dashboard Reporting Websocket dengan Event Regression Test Berbasis Web Menggunakan Algoritma FIFO Haris Yusuf Bakhtiar; Saruni Dwiasnati; Herfandi Herfandi
FORMAT Vol 12, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2023.v12.i1.009

Websocket merupakan standar baru untuk komunikasi full-duplex. Websocket yang diimplementasikan perlu untuk dilakukan testing guna melihat kesesuaian fungsi yang dibuat. Testing menggunakan metode regression test membutuhkan waktu yang lama jika dilakukan manual. Websocket yang terintegrasi automation regression test diduga mampu menyelesaikan masalah yang ada saat ini. penelitian ini akan melakukan implementasi dashboard reporting websocket event regression test berbasis web menggunakan algoritma FIFO (First In First Out). Hasil dari penelitian ini adalah aplikasi dashboard reporting yang mampu memudahkan admin dalam melakukan pengawasan dan penarikan data serta disajikan dalam bentuk visualisasi dan grafik yang dapat dianalisis. Automation regression test mempermudah proses testing. Algoritma FIFO mampu memproses antrian data yang di testing. Dashboard reporting memiliki fitur test case dan penjadwalan testing. Hasil percobaan pertama websocket testing hanya membuka koneksi saja dan tidak melakukan penutupan koneksi ke websocket eksternal, akan tetapi setelah pengujian kedua semuanya berjalan sesuai yang diinginkan. Dashboard reporting websocket yang dibuat diharapkan mampu mempermuda pihak PT. Tokopedia dalam melihat hasil testing secara cepat dan akurat.

Optimization of Flood Prediction using SVM Algorithm to determine Flood Prone Areas Saruni Dwiasnati; Yudo Devianto
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 1 No 2 (2022): September 2022
Publisher : Ikatan Ahli Informatika Indonesia

Flooding is one thing that can slow down the economic pace in the affected area. Bandung is called the city of flowers and the city of fashion because the nickname makes Bandung a city with a variety of fashions growing in multiple places as a starting point for the buying and selling process. Not only did Bandung spawn fashions that became hits every year, but it also had many Meccas of traditional food preparation that were extraordinarily unique and interesting. Creating a flood-prone area model can make it easier to provide information for communities in Bandung Prefecture that belong to flood-prone and non-flood-prone areas. The SVM algorithm is a technique that can be used in the case of classification and regression, which is very popular lately. SVM is in a class with Artificial Neural Networks (ANN) in terms of features and conditions of problems that can be solved, and to be able to increase its accuracy it uses what can be optimized with PSO (Particle Swarm Optimization), where the test data is used BNPB official website data, BPS Bandung District and BMKG processed. The accuracy rate generated by using the SVM algorithm is 85.71% and the generated AUC is 0.841, while the accuracy rate generated by using the PSM-based SVM algorithm is 97.62%. and AUC produced at 1,000.

Implementation of Decision Tree for Making Decision of Claim Product from Steel Production Anissa Lestari; Saruni Dwiasnati
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 1 No 1 (2022): March 2022
Publisher : Ikatan Ahli Informatika Indonesia

Product Claims is requests from consumers for products purchased from suppliers in accordance with agreements agreed by both parties. Products that have been claimed from consumers produce historical data sets that can be used as evaluations for producers to produce higher quality products. This study aims to process production data and shipment data then classify the types of products claimed based on the results of claim report from consumers. Data mining can be extracted information from a very large amount of data with specific methods to obtain information or new science. The method used in this study is the C4.5 algorithm method using the production code attribute as a claim or non-claim label attribute. This study produced a decision tree of 4 variables, there are thick of product, width of product, weight of product, destination of product, and type of product claim as label. This decision tree concept collects data which then calculates the value of entropy and gain to determine the rule. The conclusion from this study is the C4.5 algorithm helps classify the product claims and form a decision tree that can provide information about production results and can ensure with consumers related to product limits that may be claimed according to the agreed agreement. Evaluation of the results obtained that the algorithm C4.5 is 99.9% accuracy.

Classification of Date Fruit Types Using CNN Algorithm Based on Type M. Fajrun Nadhif; Saruni Dwiasnati
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 1 (2023): MALCOM April 2023
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v3i1.724

Date fruits are an important commodity in the agriculture and food industry. However, in the process of sales and distribution to ordinary people, there are often errors in identifying different types of date fruits. Therefore, this research aims to develop an automatic classification system to distinguish the types of date fruits based on their types using the Convolutional Neural Network (CNN) algorithm. The case study was conducted at Hamima Dates date shop. The data used are fruit images with 9 categories and a total of 1658 samples, which are divided into 1496 samples for training data and 162 samples for testing data. The test results show that the CNN algorithm has a high level of accuracy in classifying the type of date fruit, with an accuracy of 96%. In this study, feature analysis was also conducted to determine the contribution of each feature to the classification of date fruit types. The results of this study can be the basis for the development of a more sophisticated date fruit automatic classification system and can be applied to other types of fruits

Pemberdayaan Masyarakat Dalam Peningkatan Kompetensi Literasi Informasi Kewirausahaan di Wilayah Kecamatan Kembangan Jakarta Barat Nia Kusuma Wardhani; Saruni Dwiasnati
Media Abdimas Vol 3 No 2 (2023): Jurnal Media Abdimas Vol 3 No 2 Juli 2023
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/mediaabdimas.v3i2.2809

Literasi informasi berbasis kewirausahaan merupakan kegiatan mendapatkan, menggali dan memilah informasi terkait kewirausahaan melalui membaca dan menulis serta memanfaatkan internet, sehingga dapat menjadi dasar untuk membangun atau menumbuhkan semangat kewirausahaan dan bersaing di era global. Permasalahan yang diangkat adalah karena pemahaman warga Kecamatan Kembangan tentang pentingnya literasi informasi masih kurang sehingga perlu ditingkatkan melalui kegiatan pelatihan dan penyuluhan. Selain itu kompetensi warga Kecamatan Kembangan perlu ditingkatkan mengenai cara mengakses informasi secara efektif, mengevaluasi informasi secara kritis, dan mengidentifikasi peluang-peluang baru terkait kewirausahaan yang ada. Salah satu Tridharma pendidikan tinggi adalah melakukan kegiatan pelayanan masyarakat. sebagai bentuk penerapan disiplin ilmu kepada masyarakat. Kegiatan pengabdian ini berjudul "Peningkatan Kompetensi Literasi Informasi Berbasis Kewirausahaan Sebagai Upaya Pemberdayaan Masyarakat Di Wilayah Kecamatan Kembangan, Jakarta Barat". Selama kegiatan berlangsung tampak warga sangat antusias mengikuti pelatihan dan penyuluhan ini. Manfaat dari kegiatan yang dilakukan ini diharapkan masyarakat dapat secara mandiri mengakses berbagai sumber informasi, mengidentifikasi dan mengevaluasi informasi sesuai kebutuhan untuk mendukung dalam melaksanakan pekerjaannya, mendapatkan informasi tentang perijinan usaha, pelatihan bisnis, peluang usaha baru, dan lain-lain sebagai upaya perberdayaan masyarakat untuk meningkatkan perekonomian.

Co-Authors Abdillah, Reza Wahyu Agung Susilo Yuda Irawan Ahmad Fauzi Akmal, Medina Fibriyanti Alfa, Bonitasari Nurul Anissa Lestari Antono, Fajar Arif , Sutan Mohammad ARIF, SUTAN MOHAMMAD Avrizal, Reza Ayu, Kurnia Gusti Aziz, Topaz Malik Baihaqi, Kiki Ahmad Bambang Jokonowo Bambang Sukowo Bernadetha, Suzan Da Costa Martins, Ana Maria Ildiberta Darmawan, Bagus Budi Devi Fitrianah Diah Utami, Diah Elga Ramdani Eliyani Eliyani Eliyani Fadli Nurrizky Fajar Antono Fatimah, Nona Fatonah, Nenden Siti Fauzi Ahmad Muda Halim, Alfian Noer Hanny Hikmayanti Handayani Haris Yusuf Bakhtiar Herfandi Herfandi Herry Derajad Wijaya Herry Derajad Wijaya Hidayat, Rahmat Rian Imawan, Sonny Aditya Jumaryadi, Yuwan Lokesworo M. Fajrun Nadhif Muhammad Rifqi muhammad rizky, muhammad Nia Kusuma Wardhani Nicholas Reinaldo, Ryo Nur, Nur Umar Azaliy Awal Nurfiant, Muhammad Arya Hafsah Nurrizky, Fadli Pertiwi, Anggun Popy Yuliarty, Popy Prihandani, Kamal Prihandi, Ifan Qitala, Shofia Reza Avrizal Rifqi Muhammad Riri Fajriah Rudiarto, Sabar Saputra, Dony Ramadhan Sarima Lumbansiantar Shofia Qitala Sukarna, Royan Habibie Sukma Wardhana Sumarto, Marco Alfan Surya Perdana Triwibowo, Ardy Wardhana, Ariyani Wardhani, Elisa Wawan Gunawan Wawan Gunawan Wijayanti, Atiek Ike Yudo Devianto Yuliarty, Poppy

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