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All Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Bumigora Information Technology (BITe) Teknomatika (Jurnal Teknologi dan Informatika) Mitra Mahajana: Jurnal Pengabdian Masyarakat ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Jurnal Karya untuk Masyarakat (JKuM)
Ayu Dasriani, Ni Gusti
Faculty Of Engineering And Design, Universitas Bumigora
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration Dadang Priyanto; Bambang Krismono Triwijoyo; Deny Jollyta; Hairani Hairani; Ni Gusti Ayu Dasriani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3061

Abstract

Earthquake research has not yielded promising results because earthquakes have uncertain data parameters, and one of the methods to overcome the problem of uncertain parameters is the nonparametric method, namely Multivariate Adaptive Regression Splines (MARS). Sumbawa Island is part of the territory of Indonesia and is in the position of three active earth plates, so Sumbawa is prone to earthquake hazards. Therefore, this research is important to do. This study aimed to analyze earthquake hazard prediction on the island of Sumbawa by using the nonparametric MARS and Peak Ground Acceleration (PGA) methods to determine the risk of earthquake hazards. The method used in this study was MARS, which has two completed stages: Forward Stepwise and Backward Stepwise. The results of this study were based on testing and parameter analysis obtained a Mathematical model with 11 basis functions (BF) that contribute to the response variable, namely (BF) 1,2,3,4,5,7,9,11, and the basis functions do not contribute 6, 8, and 10. The predictor variables with the greatest influence were 100% Epicenter Distance and 73.8% Magnitude. The conclusion of this study is based on the highest PGA values in the areas most prone to earthquake hazards in Sumbawa, namely Mapin Kebak, Mapin Rea, Pulau Panjang, and Pulau Saringi.
Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm Ni Gusti Ayu Dasriani; Sirojul Hadi; Moch Syahrir
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 23 No 1 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i1.3581

Abstract

Population growth is increasing every year. Population growth causes an increase in population density in a country. The largest population density is in urban areas. Fires in a city with a high population density will potentially cause greater damage. Material and non-material losses due to fire can be caused by not functioning maximally early warning systems, especially fire detection. In addition, other factors, such as system errors in detecting fires, can potentially cause fires. This research aims to build an intelligent system that can minimize building fire detection errors to reduce user material losses. The intelligent system can classify fire potential into four classifications, namely ”very dangerous,” ”dangerous,” ”alert,” and ”safe.” The method used in this research is Research and Development (R&D) with artificial intelligence using the Na¨ıve Bayes method, which has been integrated with the Internet of Things (IoT). This research shows that the Na¨ıve Bayes algorithm can be used to classify fire potential, proven by the overall system testing accuracy of 93.33% with an error of 6.77%.
Pengenalan Pemikiran Computational Thinking untuk Guru MI dan MTs Pesantren Nurul Islam Sekarbela Wiya Suktiningsih; Diah Supatmiwati; Ni Gusti Ayu Dasriani; Apriani Apriani; Ismarmiaty Ismarmiaty
Jurnal Karya untuk Masyarakat (JKuM) Vol 2, No 1 (2021): Jurnal Karya untuk Masyarakat
Publisher : STARKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36914/jkum.v2i1.490

Abstract

Abstrak: Computational thinking (CT) adalah konsep berpikir secara komputasi dalam menyelesaikan suatu permasalahan. Metode pembelajaran dalam CT meliputi 4 pilar utama yaitu: Dekomposisi, Abstraksi, Algoritma dan Pengenalan Pola. CT melatih siswa untuk berpikir komputasi ketika memecahkan permasalahan soal di semua bidang ilmu. Berpikir Komputasi adalah proses berpikir yang terlibat dalam merumuskan masalah dan mengungkapkan solusinya seperti pada sebuah komputer dimana manusia atau mesin yang penyelesaian masalaha dilaksanakan secara efektif. Metode pembelajaran CT membentuk siswa untuk kreatif dan inovatif, serta mampu berkomunikasi dan berkolaborasi. Saat ini CT tidak hanya bisa diterapkan di bidang ilmu teknik informastika, tetapi sudah bisa diintegrasikan dengan bidang ilmu lain seperti bahasa Indonesia, Bahasa Inggris, Matematika dan IPA. Program kegitan pengabdian kepada masyarakat ini melakukan pengenalan konsep CT bagi guru-guru MI dan MTs yang ada di Pondok Pesantren Nurul Islam – Pagesangan, Mataram. Dengan harapan para guru dapat memasukkan CT ke dalam mata pelajaran yang diajarkan, sehingga siswa terbiasa dengan pemecahan masalah melalui cara computational thinking, kelangsungan hidup computational thinking, suatu masalah dapat diselesaikan dengan baik, cepat dan optimal. Abstract: Computational thinking (CT) is the concept of thinking computationally in solving a problem. The learning method in CT includes 4 main pillars, namely: Decomposition, Abstraction, Algorithm and Pattern Recognition. CT trains students to think computationally when solving problems in all fields of science. Computational Thinking is a thought process involved in formulating a problem and expressing its solution as in a computer where a human or machine problem solving is carried out effectively. The CT learning method shapes students to be creative and innovative, and able to communicate and collaborate. Currently CT can not only be applied in the field of informatics engineering, but can be integrated with other fields of science such as Indonesian, English, Mathematics and Science. This community service activity program introduces the concept of CT for MI and MTs teachers at Nurul Islam Islamic Boarding School - Pagesangan, Mataram. With the hope that teachers can incorporate CT into the subjects being taught, so that students get used to solving problems through computational thinking, the survival of computational thinking, a problem can be resolved properly, effectively and optimally.
Membangun Cita-Cita Siswa Sekolah Dasar Melalui Kelas Inspirasi Anggarawan, Anthony; Herawati, Baiq Candra; Wardhana, Helna; Suhendra, Erwin; Soraya, Siti; Dasriani, Ni Gusti Ayu
Jurnal Edukasi dan Pengabdian kepada Masyarakat Vol. 2 No. 2 (2023): Desember 2023
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/jepkm.v2i2.80

Abstract

Pendidikan adalah usaha sadar dan sistematis yang dilakukan oleh orang-orang yang diserahi tanggung jawab untuk mempengaruhi peserta didik agar mempunyai sifat dan tabiat sesuai dengan cita-cita Pendidikan. Salah satu misi utama dari usaha peningkatan kualitas pendidikan bangsa yaitu Kelas Inspirasi. Kelas Inspirasi adalah kegiatan yang mewadahi profesional dari berbagai sektor untuk ikut serta berkontribusi pada misi perbaikan pendidikan di Indonesia. Melalui program ini, para profesional pengajar dari berbagai latar belakang diharuskan untuk cuti satu hari secara serentak untuk mengunjungi dan mengajar SD, yaitu pada Hari Inspirasi. Metode yang ditawarakan Kelas Inspirasi berbentuk teknik ceramah, diskusi dan pelatihan. Hasil dari kegiatan Pengabdian kepada Masyarakat memberikan informasi bahwa pendidikan melalui bentuk Kelas Inspirasi dengan teknik ceramah dan Latihan pada siswa-siswa Sekolah Dasar Negeri 3 Sambik Elen Lombok Utara mampu menciptakan dampak yang postif seperti, sifat keingintahuan siswa-siswa dalam membentuk opini mereka berdasarkan apa yang mereka lihat dan sifatnya lebih netral. Motivasi yang diberikan oleh tim pengabdi mampu merubah cara pandang siswa-siswa sekaligus motivasi mereka yang berdampak terhadap gaya belajarnya.
Analisis Sentimen Program Jaminan Kesehatan Nasional Menggunakan Multiclass Support Vector Machine Dasriani, Ni Gusti Ayu; Pariandi, Lalu Ahmad Gede; Dharma, I Made Yadi
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 1 (2025): March
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i1.136

Abstract

Optimizing the implementation on National Helath Insurance which requires the use of BPJS participant cards in various public services is one of the government policies that is widely discussed and has garnered many opinions in the community. Public opinion is expressed through social media, one of which is through Twitter. The aim of this research is to classify public opinion regarding the new regulations of the National Health Insurance Program as a form of government policy to implement Presidential Instruction Number 1 of 2022 using Twitter data. Public opinion as many as 1.179 tweets were labeled positive, negative and neutral sentiments, then TD-IDF wighting was carried out and analyzed using the multiclass SVM algorithm with the One Against All approach. The results of the analysis showed that Multiclass SVM with a linear kernel was able to classify with an accuracy level of 81% where the classification pf positive sentiment was17 (7.6%), negative sentiment was 115 (48.7%) and neutral sentiment are 104 (44.1%). This shows that public sentiment is dominated by negative sentiment or disagreement with the new regulations of the National Health Insurance Program.
Sharing Session Prospek Jurusan Manajemen Kuntary Ibrahim, Isra Dewi; Rini Anggriani; Raden Bagus Faizal Irany Sidharta; Irwan Cahyadi; Ni Gusti Ayu Dasriani; Felicia Natalie Fedrich; Bintang Rizki Maulana
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 3 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (Maret)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.383 KB) | DOI: 10.57248/jilpi.v1i3.95

Abstract

Students need knowledges about job prospects after graduating from the institutions so this activity is carried out using the sharing session/knowledge sharing method and the results of this service are 1) There is an increase in student and prospective students' knowledge about the prospects for management majors with 3 (three) concentrations both Management Human Resources, Marketing and Finance and 2) Be able to know and have a picture of how the world of work is in accordance with the knowledge gained during college and current job opportunities majoring in management, and 3) Can motivate students to study diligently and actively according to majors and concentrations he chooses to become graduates who are specialized and qualified and ready to work anywhere in accordance with the current needs of the world of work and industry.
Feature Extraction in Eye Images Using Convolutional Neural Network to Determine Cataract Disease Fitra Rizki Ramdhani; Khasnur Hidjah; Muhammad Zulfikri; Hairani Hairani; Mayadi Mayadi; Ni Gusti ayu Dasriani; Juvinal Ximenes Guterres
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 4 No. 2 (2025): September 2025
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v4i2.5064

Abstract

The eye is one of the vital human senses and serves as the main organ for vision. One of the visual impairments that requires special attention is blindness, and cataracts are a major cause of it. A cataract is a condition in which the eye’s lens becomes cloudy due to changes in the lens fibers or materials inside the capsule. This cloudiness blocks light from entering the eye and reaching the retina, significantly interfering with vision. Early detection of cataracts is essential to prevent blindness. An efficient image-based classification model is needed for cataract detection. This study aims to test the Convolutional Neural Network (CNN) model for early cataract detection by exploring the use of several optimization algorithms: Adaptive Moment Estimation (Adam), Root Mean Square Propagation (RMSprop), Adaptive Gradient Algorithm (AdaGrad), and Stochastic Gradient Descent (SGD). The research method follows an experimental approach, where eye image datasets are trained using the same CNN architecture but with different parameter configurations. The results show that the Adam optimizer, with a data split of 70% for training, 15% for validation, and 15% for testing over 50 epochs, produced the best results, achieving accuracies of 94%, 93%, and 93%, respectively. Other optimizers performed reasonably well but could not match Adam's stability and accuracy. The implication of this research is that the choice of optimizer and hyperparameter configuration plays a crucial role in improving the performance of image-based cataract detection models.
Cluster Analysis Based on McKinsey 7s Framework in Improving University Services Jollyta, Deny; Oktarina, Dwi; Gusrianty; Astri , Renita; Kadim, Lina Arliana Nur; Dasriani, Ni Gusti Ayu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2005.51 KB) | DOI: 10.59934/jaiea.v1i1.45

Abstract

The epidemic of Covid-19 has impacted all aspects of human life, including education. Academic and administrative services for academic community are suffering, as a result of the fact that not all universities are able to provide online services to help break the chain of Covid-19 distribution. This is due to a lack of human competencies to use technology and a lack of information technology resources, necessitating the development of new strategies by universities to address these flaws. The goal of this study is to develop a university service strategy based on McKinsey 7s cluster results on the part that is having issues based on questionnaire data. The questionnaire is organized on seven McKinsey elements. The Manhattan distance calculation and the K-Medoids algorithm results demonstrated that the structure, system, skill and staff are all part of elements that clustered in k=2 and has to be addressed in aiding services during the Covid-19 pandemic. The McKinsey 7s showed that universities service enhancements may be achieved by combining clustering techniques and McKinsey framework.
Pelatihan Dasar-Dasar Kepemimpinan Organisasi Anggriani, Rini; Cahyadi, Irwan; Khairunnisa; Dasriani, Ni Gusti Ayu; Hijjah, Khasnur; Wardhana, Helna
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 3 No. 2 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Desember)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v3i2.482

Abstract

The basics of organizational leadership training aim to equip participants with the knowledge, skills and attitudes necessary to become effective leaders in an organizational context. The activity method uses a lecture approach, interactive discussion sessions, and training according to existing conditions. In this training, participants are taught the basic principles of leadership including effective communication, decision making, and understanding various leadership styles in organizations. Indicators of success are shown by the high enthusiasm of participants in participating in activities which is also marked by increased knowledge and skills of participants regarding the basics of leadership. This training activity has an impact on improving individual and team performance, developing organizational culture and increasing overall organizational competitiveness. With the development of the right skills, leaders can lead an organization toward achieving greater goals and create a work environment that grows positively, productively, innovatively, and collaboratively.
Co-Authors . Apriani Anggarawan, Anthony Anggriani, Rini Anthony Anggrawan Apriani Apriani Astri , Renita Bintang Rizki Maulana Cahyadi, Irwan Dadang Priyanto Dafa Awanta Deny Jollyta Dewi, Puspita Diah Supatmiwati Dwi Oktarina Dyah Susilowati Erwin Suhendra Felicia Natalie Fedrich Fitra Rizki Ramdhani Gusrianty Hairani Hairani Helna Wardhana Herawati, Baiq Candra Hijjah, Khasnur I Gde Dharos Santana Dharma I Made Yadi Dharma Ibrahim, Isra Dewi Kuntary Irwan Cahyadi Ismarmiaty Jean Suciasti Gunawan Juvinal Ximenes Guterres Kadim, Lina Arliana Nur Kartarina, Kartarina Khairan marzuki Khairunnisa Khasnur Hidjah Mayadi Mayadi Mayadi Mayadi Muhammad Zulfikri Nurul Hidayah Pariandi, Lalu Ahmad Gede Raden Bagus Faizal Irani Sidharta Raden Bagus Faizal Irany Sidharta Raden Bagus Faizal Irany Sidharta Rini Anggriani Rini Anggriani Riyana Rizki Yuliatin Sandi Justitia Putra Sandi Justitia Putra Sirojul Hadi Siti Soraya Syahrir, Moch. Triwijoyo, Bambang Krismono Wiya Suktiningsih