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All Journal Jurnal Ilmu Komputer dan Informasi Prosiding SNATIKA Vol 01 (2011) SITEKIN: Jurnal Sains, Teknologi dan Industri SMATIKA Jurnal Ilmiah KOMPUTASI Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo INTECOMS: Journal of Information Technology and Computer Science JURIKOM (Jurnal Riset Komputer) Minda Baharu STRING (Satuan Tulisan Riset dan Inovasi Teknologi) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal PkM (Pengabdian kepada Masyarakat) JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Sistem Informasi Bisnis (JUNSIBI) Green Intelligent Systems and Applications JUNIF: Jurnal Nasional Informatika Abdi Implementasi Pancasila: Jurnal Pengabdian kepada Masyarakat Innovative: Journal Of Social Science Research Antasena: Governance and Innovation Journal SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal
Sari Ningsih
Fakultas Teknologi Komunikasi Dan Informatika - Universitas Nasional
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Metode Fast dan Subset Query untuk Optimalisasi Pengolahan Data Medis pada Posbindu Berbasis Web Bayu Anggara; Fauziah Fauziah; Sari Ningsih
INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Vol. 25 No. 1 (2023): Volume 25 No. 1 Juni 2023
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v25i1.7270

Abstract

Pos Pembinaan Terpadu adalah program pemerintah untuk mencegah semakin banyaknya penderita ptm. upaya pemerintah dengan memberikan pelayanan kepada masyarakat untuk memeriksa kesehatan terutama mendeteksi penyakit tidak menular. POSBINDU yang sudah dijalankan belum memiliki sarana sistem informasi digital dan masih menggunakan sarana yang konvensional dalam pengelolaan datanya sehingga menyebabkan  tidak optimalnya pengelolaan data karena membutuhkan waktu satu hari untuk mengelola data Rekam Medis pada POSBINDU tersebut dan tidak adanya penyimpanan data secara digital sehingga beresiko terjadinya kehilangan data. pada penelitian ini menggunakan metode Subset Query  untuk mengoptimalisasikan pengelolaan data untuk memproses data pada POSBINDU. Sistem pada penelitian menggunakan framework aplication of system thinking (FAST) untuk pengembangan sistemnya dan pieces framework  untuk analisa sistem. untuk pembangunan sistemnya menggunakan PHP dan MYSQL serta Codeignither diharapkan aplikasi dapat membantu petugas untuk mencatat hasil pemeriksaan , dan diharapkan penanganan penyakit dapat lebih awal, serta sebagai sarana pelayanan kesehatan di POSBINDU Grogol Kota Depok Provinsi Jawa Barat.
Sistem Pakar Diagnosis Penyakit Kulit Balita Menggunakan Metode Certainty Factor dan Forward Chaining Guon Fernando Tarimakase; Aris Gunaryati; Sari Ningsih
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 1 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i1.16469

Abstract

When someone has very weak immunity level, they can develop skin problems. Children, especially babies and toddlers, are prone to skin problems because their immune systems are not fully developed. Developing an application that can help users to be able to diagnose skin diseases in toddlers, especially skin diseases Diaper Rash, Prickly Heat, Chicken Pox, Measles, Eczema, and Impetigo is needed according to needs. This study uses the Forward Chaining inference engine and the Certainty Factor certainty method. The goal is to make an application that can help the experts to get information and solutions about skin diseases in toddlers, as well as to provide accurate presentations about the disease. In the development of this system, the resulted level of accuracy is in accordance with the diagnosis expert, which is equal to 83.33% of 30 medical record data
Analisis Prediksi Pendapatan Penduduk dengan Metode K-Nearest Neighbor, Decision Tree, Naive Bayes, Ensemble Methods, dan Linear Regression Eri Mardiani; Nur Rahmansyah; Endah Tri Esti Handayani; Sari Ningsih; Deny Hidayatullah; Dhieka Avrilia Lantana; Yuni Latifah; Alica Dwi Fahira; Keysha Belynda Tyva Panggabean; Imelta Natalia Ginting
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4121

Abstract

Data mining bermula dari peningkatan data yang cukup pesat dilihat dari segi volume serta variasi data yang dihasilkan oleh berbagai sumber, dan jumlahnya yang sangat besar, serta kompleksitasnya data hingga pembuatannya yang cepat. Dengan data bisa menghasilkan prediksi yang membantu pemerintah dalam mengambil keputusan dan kebijakan di masa mendatang. Selain itu prediksi dapat membantu pemerintah dalam perencanaan kegiatan yang akan dilakukan untuk mencapai tujuan, karena prediksi ini dapat memberikan output terbaik sehingga diharapkan resiko kesalahan yang disebabkan oleh kesalahan perencanaan dapat ditekan seminimal mungkin. Prediksi biasanya digunakan untuk  menemukan informasi dari sejumlah data yang besar sehingga diperlukan data mining. Data mining dapat digunakan untuk menggali informasi dari data yang besar sehingga didapatkan informasi yang dapat digunakan dalam memprediksi sesuatu. Dalam data mining terdapat banyak teknik dalam pengerjaannya, untuk menemukan pola atau informasi yang tersembunyi diantaranya adalah Klasterisasi (clustering), Regresi (regression), Asosiasi (association), dan Klasifikasi (classification)
Pelatihan Membuat E-Commerce Menggunakan Prestashop pada Jasa Konveksi Dhieka Avrilia Lantana; Sari Ningsih; Tri Waluyo; Tegar Budiman; Mandala Anugrah Putra; Shinta Dwi Rahayu; Bagas Dwi Ardianto
Jurnal PkM (Pengabdian kepada Masyarakat) Vol 6, No 5 (2023): Jurnal PkM: Pengabdian kepada Masyarakat
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jurnalpkm.v6i5.16422

Abstract

Berkembangnya teknologi informasi terutama internet yang saat ini menjadi kebutuhan pokok bagi pengguna menjadikan pelaku usaha yang melek internet dapat semakin mengembangkan bisnis. Namun, masih banyak pelaku usaha yang belum mengenal internet sehingga mereka kalah bersaing dengan yang lain. Saat ini banyak pelaku usaha yang beralih dari offline ke online. Ada banyak cara untuk beralih ke online salah satunya adalah membuat e-commerce. Hal inilah yang kemudian menjadi latar belakang pelatihan pembuatan e-commerce kepada mitra Konveksi Anugrah. Konveksi Anugrah menjalankan bisnis yang bergerak dibidang konveksi pakaian yang mana konveksi tersebut menawarkan jasa konveksi dalam jumlah besar, permak pakaian, menjahit pakaian serta menjual pakaian jadi. Keterbatasan pelanggan yang mewajibkan datang ke toko untuk mengukur pakaian menjadi salah satu hambatan dalam meningkatkan penjualan. Tujuan dari pengabdian kepada masyarakat ini adalah memberikan pelatihan untuk membuat e-commerce yang dapat digunakan untuk memasarkan dan meningkatkan penjualan secara online. E-commerce dibangun menggunakan PrestaShop. PrestaShop  merupakan platform yang sering digunakan untuk membuat e-commerce secara gratis. Hasil dari penelitian berupa e-commerce yang dapat digunakan untuk melakukan pemesanan baju dalam jumlah banyak dan menjahit baju sesuai permintaan.
PKM MENINGKATKAN PENJUALAN UMKM BAGI PELAKU BISNIS USIA LANJUT MELALUI INOVASI ECOMMERCE DISAAT PANDEMI COVID 19 Eri Mardiani; Nur Rahmansyah; Sari Ningsih; Endah Tri Esthi Handayani; Deny Hidayatullah
SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 1, No 01 (2023): SWADIMAS EDISI JANUARI 2023
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/swadimas.vol1no01.286

Abstract

Small and Medium Enterprises (SMEs) through the application of Web-based E-Commerce and mentoring their use using information technology for business people can increase economic independence in order to increase the use of information technology and the internet in conducting marketing activities globally. This community service provides motivation for business people aged those who remain enthusiastic about running their business in order to strengthen the purchasing power of Small and Medium Enterprises products. The problem raised is the improvement of sales, marketing, and product ordering services from consumers. The purpose of this community service activity is so that elderly business actors can still participate in implementing Web-based E-Commerce activities properly through the guidance of facilitators. The recommendation in this activity is the need for synergies with related agencies/agencies so that elderly business people have the same opportunity to gain access to online-based businesses for their daily economic improvement.Usaha Kecil Menengah (UKM) melalui penerapan E-Commerce berbasis Web dan pendampingan penggunaannya menggunakan teknologi informasi bagi pelaku bisnis  dapat meningkatkan kemandirian ekonomi guna meningkatkan pemanfaatan teknologi informasi dan internet dalam melakukan kegiatan marketing secara global.Pengabdian masyarakat ini memberikan motivasi  bagi  Pelaku bisnis dengan usia lanjut yang tetap semangat melakukan usaha bisnisnya tetap berjalan agar dapat melakukan penguatan daya beli produk Usaha Kecil Menengah. Permasalahan yang diangkat adalah peningkatan pelayanan penjualan, pemasaran, pemesanan produk dari konsumen.Tujuan kegiatan pengabdian masyarakat ini agar Pelaku Bisnis usia lanjut tetap dapat  mengikuti kegiatan penerapan E-Commerce berbasis Web dengan baik  melalui bimbingan fasilitator. Rekomendasi dalam   kegiatan   ini   adalah   perlunya   sinergisitas dengan dinas/instansi terkait agar pelaku bisnis usia lanjut mempunyai kesempatan yang sama dalam mendapatkan akses usaha berbasis online demi peningkatan ekonomi mereka sehari-hari
Design of an Employee Recruitment System Based on the AHP-MOORA Algorithm Case Study of PT XYZ Muhamad Ripin; Agung Triayudi; Sari Ningsih
JURNAL FASILKOM Vol 14 No 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i1.6829

Abstract

The development of internet-based information technology has had a positive impact on human survival. One of the benefits of the Internet is support in building an employee recruitment system that is oriented towards good corporate governance. PT XYZ is a company that has been recruiting manually. Therefore, it is necessary to build an internet-based system for the employee recruitment process. This research uses the Analytical Hierarchy Process - Multi-Objective Optimization based on Ratio Analysis (AHP-MOORA) algorithm to determine the best applicants based on several criteria. The criteria used in this research are age, academic certificate, highest level of education, and work experience. The results of this study show that age and academic certification are priority criteria based on weight assessment using the AHP approach. Furthermore, five applicants became samples in application testing. The MOORA test results showed that three applicants had the highest scores. This research concludes that the application of the AHP-MOORA algorithm can provide objective results in determining applicants who meet the specified criteria.
Implementation Convolutional Neural Network for Visually Based Detection of Waste Types Bayu Yasa Wedha; Ira Diana Sholihati; Sari Ningsih
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3427

Abstract

Waste detection plays an essential role in ensuring efficient waste management. Convolutional Neural Networks are used in visual waste detection to improve waste management. This study uses a data set that covers various categories of waste, such as plastic, paper, metal, glass, trash, and cardboard. Convolutional Neural Networks are created and trained with refined architecture to achieve precise classification results. During the model development stage, the focus is on utilizing transfer learning techniques to implement Convolutional Neural Networks. Utilizing pre-trained models will speed up and improve the learning process by enriching the representation of waste features. By using the information embedded in the trained model, the Convolutional Neural Network can differentiate the specific attributes of various waste categories more accurately. Utilizing transfer learning allows models to adapt to real-world scenarios, thereby improving their ability to generalize and accurately identify waste that may exhibit significant variation in appearance. Combining these methodologies enhances the ability to identify waste in diverse environmental conditions, facilitates efficient waste management, and can be adapted to contemporary needs in environmental remediation. The model evaluation shows satisfactory performance, with a recognition accuracy of about 73%. Additionally, experiments are conducted under authentic circumstances to assess the reliability of the system under realistic circumstances. This study provides a valuable contribution to the advancement of waste detection systems that can be integrated into waste management with optimal efficiency.
Online Tutoring's Technological Foundation and Future Prospects: Enterprise Architecture Development Sari Ningsih; Bayu Yasa Wedha; Ira Diana Sholihati
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3433

Abstract

This study examines the advancement of enterprise architecture with the objective of enhancing the technological infrastructure and long-term strategies in the online student tutoring sector. Online tutoring has emerged as the primary option for supporting the learning process in the rapidly advancing digital age. Identify the essential elements involved in establishing robust groundwork for an online tutoring platform, with a focus on highlighting the strategic significance of enterprise architecture. Examining the technological infrastructure that is customized to fulfill the demands of the tutoring sector constitutes the research methodology utilized in this investigation. Enterprise architecture serves as the fundamental framework that enables smooth integration among different systems, applications, and services used in online tutoring. Creating an enterprise architecture will subsequently generate a well-defined technology roadmap, empowering tutoring companies to innovate with greater precision. This architecture enhances the role of online tutoring in providing a more adaptable and personalized learning experience for students by utilizing advanced technologies like artificial intelligence and data analytics. This study emphasizes the significance of enterprise architecture in facilitating educational transformation and establishing a robust framework for online tutoring companies to progress efficiently. To foster the growth and advancement of the online tutoring industry, it is crucial to strategically enhance the technological infrastructure and implement a well-designed enterprise architecture. This will enable the sector to play a substantial role in shaping a dynamic and forward-thinking educational landscape.
The Impact of Big Data on Enterprise Architectural Design: A Conceptual Review Ira Diana Sholihati; Bayu Yasa Wedha; Sari Ningsih; Ratih Titi Komala Sari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3449

Abstract

A conceptual analysis of the impact of big data on enterprise architecture design is provided in this article. Within the framework of expanding digitalization, big data has emerged as a pivotal component in delineating the strategy and framework of organizations. The objective of this study is to investigate the ways in which big data can impact and facilitate the growth of efficient enterprise architecture. Qualitative analysis is the method utilized by researchers to comprehend the intricacies of the interaction between enterprise architecture and big data. This article examines several facets by conducting an extensive review of the literature, including the ways in which big data can facilitate the enhancement of analytical capabilities, innovation in business processes, and strategic decision-making. Emerging challenges, including data security, privacy, and the necessity for IT infrastructure adaptation, are also considered in this study. The outcomes of the review indicate that the implementation of big data in enterprise architecture may substantially alter business strategies and operations. These encompass enhanced system adaptability, customized service provision, and predictive functionalities. Nonetheless, these modifications necessitate modifications to privacy policies, risk management, and data governance. This study presents novel findings regarding the influence of big data on enterprise architecture and provides researchers and practitioners with recommendations for developing and executing successful big data strategies. This research thereby enhances the current body of literature and offers practical guidance in the field.
Face Mask Recognition Menggunakan Model CNN (Convolutional Neural Network) Berbasis Python dan OpenCV Chuy Mandala Putra; Agung Triayudi; Sari Ningsih
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3532

Abstract

During the COVID-19 pandemic, masks are one of the main measuring tools in carrying out health protocols, masks are also a top priority when carrying out activities outside the home or office. Because masks are quite effective in filtering out disease particles that allow users not to get infected. Therefore, many places have made masks an important requirement in maintaining health protocols during the COVID-19 pandemic. Previously there was a system that had been created to assist the government in implementing the mandatory wearing of masks, but there were still deficiencies. Therefore the authors created a system to detect mask wearing by updating previous researchers using the convolutional neural network (CNN) algorithm. For making this system the author uses the PYTHON and OPENCV programming languages. which will produce four parts in this detection, namely Mask, No Mask, Covered Mouth Chin and Covered Nose Mouth.
Co-Authors Achmad Pratama Rifai Adinta, Brema Adisti Suryaningtyas Putri Wirawan Aditya Nur Rohman Aditya Nuryudha Iriandi Agam Beny Styawan Agung Triayudi Ahmad Deni Maulana Ahmad Muslih Mardia Ahmad Rafiansyah Fauzan Ahmad Rifqi Alfin Syaifudin Alfin Syaifudin Alica Dwi Fahira Amran Koto, Eryus Andrianingsih Anis Supriatin Ariana Azimah Arie Gunawan Arie Gunawan Aris Gunaryati Ariwirawan Djali Arman Mubarokh Asrul Sani Azhiman, Muhammad Fauzan Bagas Dwi Ardianto Bayu Anggara Bayu Yasa Wedha Bayu Yasa Wedha Budyarti, Sisca Chuy Mandala Putra Cintia Marito Sihombing Deny Hidayatullah Deny Hidayatullah Deny Hidayatullah Desmana, Satriawan Dhema, Salestinus Petrus Dhieka Avrilia Lantana Dhieka Avrilia Lantana Dicke Rifki Fajrin Dinda Nurkhaliza Putri Djarot Hindarto Djoko Widodo Eky Pambudi Syiamtoni Endah Tri Esti Handayani Eri Mardiani Eri Mardiani Erina Rahmazani Fachry, Fachry Fajrin, Dicke Rifki Fauziah Fauziah Fauziah Ferdiansyah Ferdiansyah Frenda Farahdinna Ghina Rahma Guon Fernando Tarimakase Guridno, Ciptoningaji Handayani, Endah Tri Esti Hasbulloh Hasbulloh Hasbulloh, Hasbulloh Hindarto, Djarot Imelta Natalia Ginting Indra Lukmana Ira Diana Sholihati Iriandi, Aditya Nuryudha Irmawati Irmawati Iskandar Fitri Iskandar Fitri Iskandar Fitri, Iskandar Junior, Reza Phahlevi Keysha Belynda Tyva Panggabean Lili Dwi Yulianto Lili Dwi Yulianto Lombu, Azzaleya Agashi Mandala Anugrah Putra Maraghi Agil Prabowo Mardia, Ahmad Muslih Mardiani, Eri Moh. Iwan Wahyuddin Mohammad Iwan Wahyuddin Muhamad Ripin Muhammad Mustaqim Muhammad Nurdin Muhammad Rangga Nandila, Alisyafira Sayyidina Nguyen, Huu Tho Nur Hayati Nur Hidayah, Camelia Nur Rahmansyah Nur Rahmansyah Nurfaiz, Kelfin Nurhayati Nurhayati Pamungkasari, Panca Dewi Panca Dewi Pamungkasari Penchala, Sathish Kumar Perdana, Muhammad Rizky Prasetyo, Yoga Dwi Putro, Prayogo Dwi Cahyo Rahmansyah, Nur Ratih Titi Komalasari Ratih Tri Lestari Reynaldo, Yohanes Reza Phahlevi Junior Ridwan Baharudin Riyantoro Riyantoro Satria Putra Putra Satriawan Desmana Septi Andryana Shalihati, Ira Diana Shinta Dwi Rahayu Sholihati, Ira Diana Sifonne Adi Wijaya Suhatmojo, Guing Tri Syaiful Syaiful Syiamtoni, Eky Pambudi Tegar Budiman Titih Aji Kurniawan Tri Waluyo Trie Widiarti Ningsih Ucuk Darusalam Ulfiah, Ulfiah Wedha, bayu Yasa Widayaka, Elfady Satya WIJANARKO, SIGIT Willi Akbar Satria Winarsih Winarsih Winarsih Winarsih Wulandana, Nabila Puspita Yauma, Alfath Yohanes Reynaldo Yulianto, Lili Dwi Yunan Fauzi Wijaya Yuni Latifah Yusriana Chusna Fadilah