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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Faktor Exacta Jurnal Informatika Universitas Pamulang Jurnal Tekno Insentif Jurnal Informatika SIMANTIK JSI (Jurnal sistem Informasi) Universitas Suryadarma Journal of Information System, Applied, Management, Accounting and Research Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) PROFICIO: Jurnal Pengabdian Masyarakat Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Academic Journal of Computer Science Research (AJCSR) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian West Science SABAJAYA Jurnal Pengabdian Kepada Masyarakat VIDHEAS: Jurnal Nasional Abdimas Multidisiplin JUARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Pelita Pengabdian SAINTEK Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Informatics and Information Security JIS
Nawangsih, Ismasari
Universitas Pelita Bangsa
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Pelatihan Perancangan Aset Vidio Sebagai Penunjang Kegiatan Promosi Wisata di Jawa Barat Zuliawati zed, Etty; Purnamasari, Pupung; Rismawati; Nawangsih, Ismasari
SABAJAYA Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 03 (2024): SABAJAYA : Jurnal Pengabdian Kepada Masyarakat
Publisher : SABA JAYA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59561/sabajaya.v2i03.349

Abstract

Pengabdian masyarakat di Kabupaten Karawang bertujuan untuk meningkatkan promosi pariwisata melalui pembuatan video. Dengan melibatkan pelatihan dan pendampingan, metode ini menyediakan informasi tambahan bagi masyarakat tentang destinasi wisata lokal. Metode Pelaksanaan nya memiliki dua cara yang masing-masing memiliki peranan yang berhubungan satu dengan lainnya. Hasil dari pelatihan ini menunjukkan bahwa Video promosi diunggah di platform digital seperti Youtube untuk mencapai audiens yang lebih luas. Teknik-teknik digital marketing digunakan untuk meningkatkan visibilitas destinasi pariwisata, membangun kesadaran lokal, dan mendorong partisipasi masyarakat dalam pengembangan pariwisata daerah. Dengan demikian, video promosi tidak hanya bertujuan untuk meningkatkan kunjungan wisatawan, tetapi juga untuk memperkuat ekonomi lokal dan meningkatkan kesejahteraan masyarakat Kabupaten Karawang.
Pelatihan Menggunakan Canva Untuk Meningkatkan Kreatifitas Design Grafis Pada Madrasah Ibtidaiyah Al-Khoiriyah.: Pelatihan Menggunakan Canva Untuk Meningkatkan Kreatifitas Design Grafis Pada Madrasah Ibtidaiyah Al-Khoiriyah. Nawangsih, Ismasari; Purnamasari, Pupung; Maulana, Donny; Maulana Majid, Annisa; Budiarto, Eko; Tri Pranoto, Gatot
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v2i2.4710

Abstract

The development of creativity and teaching and learning activities for students and teachers in the world of education continues to develop along with the times. The digital era is supported by various application devices and the existence of the internet currently helps the teaching and learning process. Students need Canva training as a promotional media and information on school activities. The uses for students are making posters, class presentations and so on. Meanwhile, for teachers, it is a teaching presentation. This training is assisted and supported by the Lecturer Team as tutors because community service activities are part of the tri dharma of lecturers which must be carried out as a form of service and concern for the surrounding community. Activities in the form of counseling and design training using Canva were carried out at Madrasah Ibtidaiyah Al Khoiriyah. The target group for this PKM activity is 20 students and 2 teachers. This activity is carried out face to face (On the spot training) which begins with observation and coordination and permission with the local school principal regarding planned activities to be carried out in that environment regarding availability. place, time and participants. Service activities are carried out using several stages: Preparation stage; Stage of implementing socialization regarding digital content for school students. The method used in implementing PKM activities is socialization using counseling techniques in the form of lectures or presenting material in the form of theory and videos related to the theme we are taking, questions and answers, creations and games. The results of the activity show an increase in creative ways of learning for students
Pengembangan Sistem Kas RT Berbasis Android yang Terintegrasi Komputasi Awan dan Firebase Maulana, Donny; amali, Amali; Tedi, Nanang; Ismamudi; Nawangsih, Ismasari
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v2i2.4729

Abstract

Rukun Tetangga merupakan aspek integral dari kehidupan masyarakat Indonesia, tidak hanya terbatas pada kebutuhan administratif tetapi juga mencakup layanan sosial seperti penyediaan informasi bagi warga. Di tingkat Rukun Tetangga (RT), tugas administratif keuangan seringkali masih menggunakan catatan manual, yang menyebabkan kendala dalam pelayanan karena kesibukan pengurus. Penelitian ini bertujuan untuk mengembangkan model sistem yang memfasilitasi pengelolaan keuangan dan komunikasi antar warga agar waktu yang terbatas dapat dioptimalkan. Metode waterfall digunakan untuk merancang sistem dengan tahapan requirements, design, development, testing, deployment, dan maintenance. Proses analisis sistem menggunakan Unified Modeling Language. Hasil penelitian akan menunjukkan bahwa penerapan metode waterfall dapat meningkatkan sistematisasi dan kualitas sistem, serta aplikasi Kas RT yang memiliki banyak fitur dan menggunakan API Spreadsheets dapat mempermudah dalam pengolahan data pembayaran dan Aplikasi ini juga memudahkan komunikasi antar warga, serta meningkatkan efisiensi dalam pembuatan laporan keuangan. Penelitian ini juga akan memanfaatkan metode kualitatif untuk pengumpulan data, yang melibatkan wawancara, observasi, dan studi literatur guna mendapatkan pemahaman yang holistik tentang kebutuhan dan masalah yang dihadapi oleh masyarakat di tingkat RT. Dengan kombinasi kedua metode tersebut, penelitian ini dapat memberikan gambaran yang komprehensif dan mendalam tentang solusi yang dapat diterapkan dalam konteks pengelolaan keuangan dan komunikasi di tingkat Rukun Tetangga.
Goods Inventory System Using Visual Basic.Net at PT. Mitra New Grain with Waterfall Method Ferawati, Eva; Maulana, Donny; Nawangsih, Ismasari
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8753

Abstract

This research is motivated by the process of making raw material inventory stocks that still use paper and have not been connected to the database. The problems that arise in the company are regarding the stock of goods, the process of reporting incoming and outgoing goods is still by handwriting which results in calculation errors and differences between physical data and record data. The design of this raw material information system uses the Visual Basic.Net programming language and SQL Server as a database. The system development model used is the waterfall model, analysis and design using diagrams contained in UML. While data collection techniques use research methods by means of observation, interviews, and literature studies. The purpose of this research is to design a raw material inventory information system that can support all incoming and outgoing inventory activities in the company. The result of this research is a desktop-based inventory system application that can assist in processing inventory data and reporting data.
Analisis Sentimen Terhadap Cyber Bullying di X Menggunakan Algoritma Naïve Bayes : Sentiment Analyst of Cyber Bullying in X Using Naïve Bayes Algorithm Arfan, Ibnu Soffi; Fauziah, Sifa; Nawangsih, Ismasari
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i4.1550

Abstract

X adalah salah satu media sosial paling populer di dunia penggunanya bisa menuangkan isi fikiran ke publik dan cepat mendapatkan informasi dan tanggapan dari berbagai sudut pandang. Disamping saking banyaknya sisi positif dari x ini pasti tidak luput dari sisi negatifnya, salah satunya Cyberbullying di sosial media ini. Cyberbullying sendiri termasuk tindakan pidana dan pelakunya dapat ditindak sesuai Undang-undang yang berlaku. Maka dari itu penelitian analisis sentimen terhadap Cyberbullying pada media sosisal x untuk mengklasifikasikan tweet dan komentar yang bermuatan negatif dan positif menggunakan metode dan Naïve Bayes classifier Data masukan pada analisis ini berupa tweet yang diperoleh dari open data untuk di analisis untuk mencari potensi terjadinya tindakan Cyberbullying. Output pada penelitian ini berupa klasifikasi sentimen Cyberbullying yang telah melewati preprocessing. Dari hasil pengujian diperoleh akurasi menggunakan metode Naïve Bayes sebesar 86% menghasilkan pembuktian untuk topik Cyberbullying, sehingga algoritma tersebut dapat diterapkan untuk klasifikasi analisis sentimen pada data yang lain.
Implementasi Machine Learning Menggunakan Adaboost dalam Prediksi Status Gizi Anak di Posyandu Tanjung XXIV Majid, Annisa Maulana; Nawangsih, Ismasari
Progresif: Jurnal Ilmiah Komputer Vol 20, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i2.2143

Abstract

Nutritional status is important for children's growth and development, as well as for measuring nutritional adequacy. Posyandu Tanjung XXIV is a facility for routinely recording children's growth and development, but it still uses manual processes to determine nutritional status so it is not yet effective. Data processing is needed to help predict children's nutritional status. Machine Learning is used for data processing and predicting data based on algorithmic patterns. Previous research related to nutritional status using Machine Learning has been carried out but resulted in a small level of accuracy in the Naïve Bayes algorithm, so accuracy needs to be increased. This research aims to implement Machine Learning using Naïve Bayes combined with the Adaboost method to increase the accuracy of the Posyandu Tanjung XXIV toddler dataset. The research uses variable dataWeight by Age, Height by Age, Weight by Height. The results of the research show that the implementation of Naïve Bayes using Adaboost increases accuracy with results of 100% accuracy, an increase of 6.67% from the implementation of Naïve Bayes independently with results of 93.33%.Keywords: Nutritional status; Machine Learning; Naive Bayes; Adaboost AbstrakStatus Gizi hal yang penting bagi pertumbuhan dan perkembangan anak, serta untuk mengukur kecukupan zat gizi.  Posyandu Tanjung XXIV merupakan fasilitas untuk mendata pertumbuhan dan perkembangan anak secara rutin, namun masih menggunakan proses manual untuk menentukan status gizi sehingga belum efektif. Perlu pengolahan data untuk membantu memprediksi status gizi anak. Machine Learning digunakan untuk pengolahan data serta memprediksi data berdasarkan pola algoritma. Penelitian sebelumnya terkait status gizi menggunakan Machine Learning sudah dilakukan namun menghasilkan tingkat akurasi kecil pada algoritma Naïve Bayes, sehingga perlu peningkatan akurasi. Penelitian ini bertujuan untuk implementasi Machine Learning menggunakan Naïve Bayes dikombinasikan dengan metode Adaboost untuk meningkatkan akurasi dataset balita Posyandu Tanjung XXIV. Penelitian menggunakan data variable Berat Badan menurut Umur, Tinggi Badan menurut Umur, Berat Badan menurut Tinggi Badan. Hasil dari penelitian menunjukkan implementasi Naïve Bayes menggunakan Adaboost meningkatkan akurasi dengan hasil akurasi 100%, meningkat sebesar 6,67% dari penerapan Naïve bayes mandiri dengan hasil 93,33%Kata kunci: Status Gizi; Machine Learning; Naive Bayes; Adaboost 
Pelatihan Pengembangan Produk Olahan Pangan Lokal Untuk Meningkatkan Daya Saing Di Pasar Kabupaten Bekasi Zed, Etty Zuliawati; Purnamasari, Pupung; Nugroho, Djoko; Nawangsih, Ismasari
SABAJAYA Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 06 (2024): SABAJAYA : Jurnal Pengabdian Kepada Masyarakat
Publisher : SABA JAYA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59561/sabajaya.v2i06.500

Abstract

Pelatihan pengembangan produk olahan pangan lokal di Desa Cipayung, Kecamatan Cikarang Timur, Kabupaten Bekasi, bertujuan untuk meningkatkan keterampilan dan daya saing para peserta dalam mengolah ikan patin menjadi produk bernilai tambah. Sebanyak 100 peserta yang terdiri dari ibu rumah tangga dan pelaku UMKM pemula berhasil menguasai teknik pengolahan dasar, termasuk pembuatan bakso ikan, kerupuk ikan, dan abon patin, serta pengemasan yang menarik. Selain keterampilan teknis, pelatihan ini juga memberikan pemahaman mengenai manajemen usaha dan strategi pemasaran efektif melalui media sosial dan teknik promosi sederhana. Hasil evaluasi pasca-pelatihan menunjukkan bahwa lebih dari 80% peserta merasa percaya diri untuk menerapkan teknik yang diajarkan dan memiliki rencana untuk mengembangkan usaha mereka. Selain itu, para peserta mulai merencanakan branding produk dan strategi distribusi. Pelatihan ini diharapkan tidak hanya meningkatkan keterampilan teknis, tetapi juga memberikan pengetahuan manajerial yang mendukung keberlangsungan usaha jangka panjang. Dengan pemanfaatan ikan patin yang bernilai gizi tinggi, diharapkan produk olahan dapat meningkatkan taraf hidup masyarakat setempat dan menjadikan Kabupaten Bekasi sebagai pusat produk pangan olahan ikan patin yang berkualitas. Festival Produk Perikanan yang diadakan oleh petani lokal juga berfungsi sebagai platform promosi untuk memperkenalkan produk olahan ikan patin, mendukung ekonomi lokal, dan mendorong pertumbuhan usaha berbasis sektor perikanan
Implementasi Metode Bagging dan Teknik Discretization pada Algoritma Machine Learning untuk Memprediksi Status Stunting pada Anak Balita Majid, Annisa Maulana; Nawangsih, Ismasari
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1279

Abstract

Stunting is one of the problems of toddler growth, making toddlers susceptible to disease. Efforts to prevent stunting with routine checks every month. Posyandu Sukasejati is a facility for routinely checking the growth of toddlers, but data collection requires early stunting analysis to help health workers reduce the number of stunting statuses in toddlers. Previous research on stunting prediction using the Naive Bayes Machine Learning algorithm has been carried out, but the level of accuracy is still low, so accuracy improvement techniques are needed to provide accurate information. The purpose of the study was to implement the Bagging method to improve accuracy and the discretization technique to change continuous attributes to categorical in the Naïve Bayes Machine Learning algorithm in predicting stunting in toddlers, the results of the study showed an increase in accuracy, recall, and precision using a combination of the Bagging method and the Naïve Bayes algorithm, namely accuracy of 100% increased by 5.83% compared to using the Naïve Bayes algorithm alone, which was 94.17% and an increase in recall and precision results of 28.33%.
Naive Bayes Algorithm for Sentiment Analysis on Spider-Man Movie: No Way Home: Data Mining Makarim, Ziddan; Nawangsih, Ismasari; Sanudin, Sanudin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4845

Abstract

The rapid development of streaming platforms has significantly changed the landscape of movie consumption. The ease of access and social interaction in online communities has led to the creation of a new pop culture around movies. One interesting phenomenon is the movie Spider-Man: No Way Home, which sparked heated and viral conversations on various social media platforms. This research aims to analyze audience sentiment towards the movie Spider-Man: No Way Home using Naïve Bayes algorithm. Review data collected from online platforms was processed to identify positive and negative sentiments. The choice of Naïve Bayes algorithm is based on its efficiency and ability to classify text. The results showed that the model built was able to classify sentiment with an accuracy of 72.34%. The model is more effective in identifying positive reviews than negative, indicating a positive response from the majority of viewers. However, the model still needs to improve its performance in classifying negative sentiments. This research makes an important contribution in understanding audience preferences and evaluating the success of a movie, especially in the context of the digital era. The results can be utilized by the film industry to improve production quality, marketing strategies, and content development that is more relevant to audience preferences. In addition, this research also opens up opportunities for further development, such as the use of more complex algorithms or combining with other sentiment analysis techniques, as well as application to various types of social media content.
Perancangan Sistem Informasi Persediaan Barang Menggunakan Visual Basic 2010 (Vb.Net) Pada PT. Solusi Rekatama Makmur Rejeki, Sri; Ismasari Nawangsih; Setiawati, Siti
Journal of Informatic and Information Security Vol. 2 No. 1 (2021): Juni 2021
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/7x5g3403

Abstract

The warehousing management system is a key in the supply chain, where the main objective is to control all the processes that take place such as shipping and receiving. Currently the update of inventory data in PT. The Rekatama Makmur solution is periodically not updated every time a transaction occurs and is performed by a single computer performed by a warehouse officer, so that the other part of the employee is constrained in getting the latest data needed to make a business decision. Problems in this research how to make inventory information system for PT. Rekatama Makmur solution that produces updated inventory information every transaction and can generate information for warehouse officer, purchasing, and sales department. This research uses design and development which is done using VB.Net and MySql programming language as database management system.
Co-Authors Adi Rusdi Widya Adi Tio Ilhasa Agus Setiawan Agus Suwarno Ahmad Gunawan Ahmad Tholud Ahmad Tholud2 Ahmad, Asyari Al Bina, Fiqhy Faradisa Amali Amali, Amali Andri Firmansyah Anggi Muhammad Rifa’i Annisa Maulana Majid Annisa Maulana Majid Antika Zahrotul Kamalia Ardi Gunawan Arfan, Ibnu Soffi Asep Arwan Sulaeman Asep Muhidin Asti Setyaningsih Asty Setyaningsih Aswan Supriyadi Sunge Avifah Dian Permatasari Badruzzaman, Aceng Budi Rahardjo, Sugeng Budiarto, Eko Candra Naya Cecep Wiranto chandra H, Desy Djoko Nugroho Donny Maulana Edora Edora Edy Widodo Edy Widodo Eko Budiarto Elgi Ginanjar Elkin Rilvani Etty Zuliawati Zed Fauziah , Sifa Fazri Setyawan Ferawati, Eva Gatot Tri Pranoto Hari Puji Saputro Indradewa, Rhian Ismamudi Ismamudi Junisa Sahar Karina Imelda Majid, Annisa Maulana Majid, Annisa Maulana Makarim, Ziddan Maulana Majid, Annisa Maulana, Donny Miftahul Jannah Miftakul Huda Muhamad Adhi Mukti Nanang Tedi Kurniadi Pupung Purnamasari Pupung Purnamasari Putri Maharani, Nanda Rachmat Hidayat Rahardjo, Sugeng Budi Reza Puspita Riady, Sasmitoh Rahmad Rianti Kinasih Rismawati Sanudin Sanudin Sellina, Sesri Septian Arie Prayoga Sesri Sellina Setyawan, Wisnu Sifa Fauziah Siti Rahayu SITI SETIAWATI Soer, U. Darmanto Soer, U. Darmanto Sri Rejeki Sri Rejeki Sugeng Budi Rahardjo Sugeng Budi Raharjo Suherman Suherman Supriyati . Suriyanti Surojudin, Nurhadi Susanto, Dede Agus Suwaryo, Niko Tedi, Nanang Tri Ngudi Wiyatno W, Wiyanto Wahyu Hadikristanto Wiyanto Wiyanto Wiyanto Wiyatno, Tringudi Zed, Etty Zuliawati Zuliawati zed, Etty