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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Penelitian Pendidikan Jurnal Ilmiah KOMPUTASI JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) Journal of Dinda : Data Science, Information Technology, and Data Analytics Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Hortatori : Jurnal Pendidikan Bahasa dan Sastra Indonesia Nuansa Informatika Nusantara Journal of Multidisciplinary Science Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
SITI SETIAWATI
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

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Pengembangan Sistem Presensi Dosen Berbasis Geolocation Untuk Meningkatkan Akurasi Dan Efisiensi Pencatatan Kehadiran Perkuliahan Dani Yusuf; Siti Setiawati
Journal of Informatic and Information Security Vol. 5 No. 2 (2024): Desember 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/k3hnv805

Abstract

This study aims to develop and implement a faculty attendance system based on geolocation, utilizing GPS technology for automatic recording of faculty attendance. This system is expected to enhance efficiency, accuracy, and transparency in the attendance process, as well as facilitate the management of faculty attendance data by administrators. The method used in this research is the prototype development method, which allows for iterative system development based on user feedback. The system development process includes needs identification, prototype design, development of the geolocation-based attendance application, system testing, as well as revisions and improvements to the prototype. The results of initial testing indicate that this attendance system successfully records faculty attendance time and location accurately using GPS technology, while also enabling administrators to monitor attendance reports in real-time. This research is expected to contribute to the utilization of geolocation technology to improve academic administration efficiency and provide practical solutions in managing faculty attendance in higher education institutions.
Augmented Reality Alat Musik Tradisional Berbasis Algoritma SURF Kombinasi Metode Design Thinking Ramadhan, Risky; Khalida, Rakhmi; Setiawati, Siti
Jurnal Ilmiah Komputasi Vol. 24 No. 1 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 1, Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.1.3694

Abstract

Saat ini di tengah arus modernisasi dan perkembangan teknologi, minat generasi muda terhadap alat musik tradisional cenderung menurun, padahal alat musik tradisional menjadi sarana untuk menyampaikan nilai-nilai budaya, cerita, dan sejarah. Teknologi digital, khususnya Augmented Reality (AR), menawarkan solusi inovatif untuk melestarikan dan memperkenalkan alat musik tradisional kepada generasi muda. Penelitian ini bertujuan untuk merancang aplikasi AR berbasis algoritma SURF (Speeded-Up Robust Features) yang dikombinasikan dengan metode design thinking yang berfokus pada alat musik tradisional Jawa Barat. Pendekatan kombinasi ini berfokus pada pemahaman mendalam tentang kebutuhan dan masalah pengguna, merumuskan solusi melalui proses kreatif, dan menguji solusi tersebut secara iterative. Umpan balik yang ada pada tahapan testing, membuktikan perancangan aplikasi AR berhasil menghasilkan solusi yang inovatif untuk mengenalkan alat musik tradisional interaktif kepada pengguna, aplikasi ini mampu memberikan pengalaman belajar yang imersif dengan menyajikan alat musik dalam bentuk 3D dan suara asli yang terintegrasi dengan Augmented Reality
Sosialisasi Kesadaran Masyarakat Tentang Keamanan Digital Di Era Teknologi Informasi Siti Setiawati; Irfan Fadhilah; Jasson Arfian; Anggoro Laksono; Pandu Eka Wardhana; Rizky Apriyanto; Rizki Nurdiansyah; Naufal Akmaludin Setyawan
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 8 (2025): NJMS - Maret 2025
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kehidupan sehari-hari telah dipengaruhi oleh kemajuan pesat dalam teknologi informasi, yang telah mengubah cara orang berinteraksi, bekerja, dan berkomunikasi. Keuntungan yang didapat dari kemajuan teknologi ini juga mempunyai resiko terhadap keamanan dan privasi data.Kelurahan Marga Mulya RW 08 merupakan lokasi pelaksanaan kegiatan sosialisasi kesadaran masyarakat tentang keamanan digital di era teknologi informasi. Kami menggunakan pendekatan seminar dan pelatihan tentang keamanan digital di era teknologi informasi. Sosialisasi melalui pelatihan dan seminar tatap muka telah terbukti membantu masyarakat memahami pentingnya perlindungan digital. Hasil menunjukkan bahwa kesadaran masyarakat terhadap ancaman seperti phishing, malware, dan pencurian data masih rendah. Melalui program ini, kami ingin meningkatkan kesadaran masyarakat tentang bahaya perangkat elektronik bagi anak-anak dan mengajarkan mereka pentingnya penggunaan teknologi yang sehat dan lingkungan yang sehat. Program ini dapat menjadi model bagi upaya serupa di daerah lain dengan situasi serupa. Melalui kegiatan ini diharapkan masyarakat luas mampu mengenali potensi ancaman di dunia maya, memahami langkah-langkah yang harus dilakukan untuk mencegahnya, dan mengembangkan kemampuan berpikir kritis dalam menyikapi berbagai data di era teknologi informasi
Implementasi Algoritma Naïve Bayes dan Algoritma C4.5 Untuk Melakukan Analisis Sentimen terhadap Ulasan Komentar Pengguna TikTok di Google Play Store Aprilyana, Dhea Putri; Priatna, Wowon; Setiawati, Siti
Jurnal Pelita Teknologi Vol 19 No 1 (2024): Maret 2024
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v19i1.2488

Abstract

TikTok is a popular application among young people. TikTok was an application initially launched in China before landing in Indonesia at the end of 2017. Unfortunately, the popularity of TikTok stems from personal lack of self-image, for example wearing sexy clothes, dancing in erotic and inappropriate moves. This is based on many positive and negative comments from TikTok users. So we need a way to automatically classify reviews through sentiment analysis. The purpose of this study is to classify TikTok user comments on Google Play Store using Naive Bayes and C4.5 algorithms. This study used 1330 data, of which 602 data were negative and 728 data were positive. The results show that the Naive Bayes algorithm produces accuracy values ​​of 79.00%, 79.00% precision, 78.00% recall, and 78.00% F1 score. The C4.5 algorithm produces 68.00% accuracy, 68.00% precision, 68.00% recall, and 68.00% F1 score. We can conclude that the Naive Bayes algorithm is the best algorithm compared to the C4.5 algorithm. The Naive Bayes algorithm achieves an accuracy value of 79.00%.
Analisis Sentimen Sistem E-Tilang Menggunakan Algoritma Naive Bayes Dengan Optimalisasi Information Gain Khalida, Rakhmi; Setiawati, Siti
Journal of Informatic and Information Security Vol. 1 No. 1 (2020): Juni 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jiforty.v1i1.137

Abstract

Abstract The Government of Indonesia took steps to change the system to improve public services in traffic violations by implementing the e-ticketing system. This system is a solution for disciplining motorized motorists from committing traffic violations. The existence of e-ticketing is also a solution to prevent the delinquency of law enforcers from illegal levies, peace terms in place, to accountability of fines. In this study, sentiment analysis of the e-ticketing system or opinion mining to classify the variety of public comments that give a positive, negative or neutral impression. Twitter social media is one of the objects to express opinions because it is user friendly, updated topics, and openly accesses tweets. Opinions on Twitter are collected, then the preprocessing stage is performed, then the selection of information gain features helps reduce noise caused by irrelevant labels, the next step is the classification of sentiments with the Naïve Bayes algorithm and finally polarity sentiments. This research resulted in an accuracy of 41.82%, a precision of 50.51% and a recall of 45.45%. Keywords: Sentiment analysis, E-ticketing, Information Gain, Naive Bayes Abstrak Pemerintah Indonesia melakukan langkah perubahan untuk memperbaiki sistem pelayanan publik dalam pelanggaran berlalu-lintas yaitu dengan menerapkan sistem e-Tilang. Sistem ini menjadi solusi mendisiplinkan para pengendara kendaraan bermotor dari banyaknya melakukan pelanggaran berlalu-lintas. Keberadaan e-Tilang juga menjadi solusi mencegah kenakalan penegak hukum dari pungutan liar, istilah damai ditempat, hingga akuntabilitas uang denda. Dalam penelitian ini melakukan analisis sentimen tentang sistem e-Tilang atau opinion mining untuk mengelompokan ragam komentar masyarakat yang memberikan kesan positif, negatif atau netral. Media sosial Twitter menjadi salah satu objek untuk menyampaikan opini karena user friendly, topik ter-update, dan terbuka mengakses tweet. Opini pada twitter dikumpulkan, lalu dilakukan tahapan preprocessing, selanjutnya dengan seleksi fitur information gain membantu mengurangi noise yang disebabkan oleh label-label yang tidak relevan, tahap selanjutnya adalah klasifikasi sentimen dengan algoritma Naïve Bayes dan terakhir sentimen polarity. Penelitian ini menghasilkan accuracy 41,82%, presisi 50,51% dan recall 45,45%. Kata kunci: Analisis sentimen, E-Tilang, Information Gain, Naive Bayes
Model Kepuasan Orang Tua/Wali Siswa Berdasarkan Peningkatan Kualitas Pelayanan Sekolah Secara Berkelanjutan (Studi Kasus TK. Bina Mulia) Muhamad Khaerudin; Srisulistiowati, Dwi Budi; Setiawati, Siti
Journal of Informatic and Information Security Vol. 2 No. 1 (2021): Juni 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/xzxrhw41

Abstract

Kindergarten. Bina Mulia Cibitung is a school engaged in early childhood education. Customer satisfaction survey is certainly needed to know the response of parents / guardians of students to the quality of service. But during this kindergarten. Bina Mulia has not conducted a survey on the satisfaction of parents of students to the services performed by teachers and administrative personnel. In anticipation of things that the school did not want during this pandemic, the survey was done not directly but online. Respondents to this survey are all parents / guardians of students both still active in school and who have graduated. This research is planned on an ongoing basis with the aim of knowing the level of satisfaction of parents / guardians to school services. In addition, this research aims to produce an online survey application that is integrated with the survey management information system, while the CSI method to measure customer satisfaction. Analysis of survey results is calculated using customer satisfaction index (CSI) method. CSI is a quantitative analysis in the form of a percentage of the number of parents / guardians of students to this service satisfaction survey.
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 Teknik Informatika, Fakultas Teknik 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.
Penerapan Algoritma Simple Additive Weighting (SAW) pada Sistem Informasi Penjualan Berbasis Web di Konter Servis Handphone Siti Musabiah Mega Pratiwi; Rasim; Setiawati, Siti
Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/as4cmr62

Abstract

Thomas Cell is a business outlet that provides cellphone service, and sells cellphone accessories. The purpose of research conducted by researchers at Thomas Cell is to design an information system to process service data and check accessories according to consumer budgets. The old system adapts to various types of changes in its environment, to the point where the system can no longer adapt to the problems in its environment. Then a new system was created to replace it. The technique used to design this application is the System Development Life Cycle (SDLC) technique, this technique suggests an approach to structuredsoftware development, starting from the stages and progress of the system for all analysis, design, code, testing, and maintenance. In designing software and compiling reports on this system, it is designed on a website basis. This information system can reduce errors that occur in managing service data, later checking service data can be carried out quickly, easily, effectively, efficiently, and the data obtained can be more accurate and it can also be easier to have conversations about data, so there is no need to meet each other.
Komparasi Algoritma K-Mean dan Hierarchical untuk Pengelompokan Pengaruh Covid-19 Terhadap Pendidikan Mayadi; Setiawati, Siti
Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gtkw7r31

Abstract

The purpose of this study is to classify the impact of covid-19 on the world of education. Covid-19 is a virus that has had a major impact on politics, economy, culture, sports, education and other fields. The impact in the field of education is the closure of schools, universities, and institutions so that learning activities are carried out online from home. The method in this study begins by taking a dataset sourced from the public dataset https://www.kaggle.com/ to obtain data on the impact of COVID-19 on education. The next stage is preprocessing the data to filter the attributes that have the most influence on education using excel and python programming, the dataset has been continued to create patterns using machine learning algorithms, namely hierarchical clustering and k-mean clustering the clustering algorithm used. Clustering is the process of grouping similar objects into different groups or dividing a data set into subsets based on distance measurements. The expected result of this research is the comparison of the k-mean and hierarchical clustering algorithms which will have the highest accuracy in classifying the impact of covid-19 on education.
Sistem Informasi Navigasi Wisata Kota Jakarta untuk Menentukan Rute Tercepat Menggunakan Algoritma Dijkstra Berbasis Web Syaumi, Muhammad Rizki; Noeman, Achmad; Setiawati, Siti; Kustanto, Prio; Achmad, Noeman
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/c9by2m49

Abstract

This study aims to design a web-based tourism navigation information system using Dijkstra’s algorithm to determine the fastest rout in Jakarta City. The proposed navigation system assists tourist in planning their trips more efficiently by providing real-time information on the fastest routes, travel distances, and estimated traviel times. By implementing Dijkstra’s algorithm, the system calculates the optimal route based on the starting location from the user’s device and destination data stored in the database. This research employs the waterfall system development method, which inludes the stages of analysis, design, implementation, and testing. The testing results demonstrate that the system accurately provides the fastest routes, enhancing convenience and travel efficiency for tourist.
Co-Authors Achmad, Noeman Adi Muhajirin Afifah, Muanda Agustin, Syafira Cessa Aliyah, Andi Nur Anggoro Laksono Aprilyana, Dhea Putri Arafat Bagoes Setyawan Dani Yusuf Dwi Budi Srisulistiowati Fitri, Diah Angraina Herlawati Herlawati Irfan Fadhilah Jasson Arfian Kartika, Wahyu Khaerudin , Muhammad Khairunnisa Fadhilla Ramdhania Khalida, Rakhmi Kuning, Layung Kustanto , Prio Kusumawati, Amora Lisa Adhani Lubis, Hendarman Mayadi Muhamad Khaerudin Muhammad Azhar Khairi Naufal Akmaludin Setyawan Nawangsih, Ismasari Noeman, Achmad Pandu Eka Wardhana Priatna , Wowon Prima Dina Atika Rachmatin, Nida Rafika Sari Ramadhan, Risky Ramdhania, Khairunnisa Fadhilla Rasim Rasim, Rasim rizki nurdiansyah Rizky Apriyanto Rizky Ramadhan, Rizky Samuel, Federick Dedi Siti Musabiah Mega Pratiwi Sri Rejeki Subarkah Subarkah Syafina, Prilia Hashifah Syaumi, Muhammad Rizki Tb Ai Munandar Wijati, Damar