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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JUITA : Jurnal Informatika Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Abdi Insani MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Journal of Management and Bussines (JOMB) Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Himpunan: Jurnal Ilmiah Mahasiswa Pendidikan Matematika
Cipta Ramadhani
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Pengklasteran Kejadian Gempa Wilayah Indonesia Menggunakan Algoritma k-Means Suksmadana, I Made Budi; Ramadhani, Cipta
DIELEKTRIKA Vol 9 No 1 (2022): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

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

Abstract

Gempa bumi dapat menyebabkan jatuhnya korban jiwa manusia yang disebabkan karena runtuhnya bangunan dan juga menyebabkan bahaya sekunder seperti kebakaran, tanah longsor dan tsunami. Indonesia merupakan wilayah yang sering mengalami kejadian gempa karena dikelilingi oleh empat lempeng utama, yaitu Lempeng Eurasia, Lempeng Indo- Australia, Lempeng Laut Filipina, dan Lempeng Pasifik. Kejadian gempa dalam sebuah wilayah dapat diklaster menjadi kelompok-kelompok tertentu. Dengan klaster-klaster tersebut diharapakan dapat mengetahui hubungan satu kejadian gempa dengan gempa yang lainnya. k-Means merupakan salah satu metode untuk pengklasteran, “Scikit-Learn” merupakan sebuah pustaka machine-learning yang digunakan untuk melakukan pengklasteran dimana didalamnya terdapat metode k-Means. Metode k-Means yang dilakukan menggunakan nilai k = 3, 5 dan 7. Pengklasteran dengan k = 7 menghasilkan jumlah kejadian gempa maksimum sebanyak 571 pada sebuah klaster dan minimum sebanyak 180 pada sebuah klaster lainnya.
Analysis of User Experience Online Mentoring Platform with User-Centered Design Approach at Giza Design Lab Ariessaputra, Suthami; Novianung, Lalu Triawanri; Ramadhani, Cipta
DIELEKTRIKA Vol 9 No 2 (2022): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v9i2.316

Abstract

Learning or virtual learning platforms are becoming more and more widespread in education during the COVID-19 epidemic since digital learning eliminates the time and distance barriers. Online learning through internet media is growing rapidly. There are several online learning applications during the pandemic. Giza online mentoring is one of the online platforms based on mentor systems. This study creates a Giza online coaching platform for UX design using the User Centered Design (UCD) methodology. The process included user research to build the empathize, design a prototype, and usability testing of the mentoring platform to validate the solution based on a user-centered approach. The prototype is tested with usability testing. Usability testing is used to evaluate the prototype. Twenty-eight people participated in the initial usability test with a maze design, and the findings showed that 25% of users bounced, 75% of users succeeded indirectly, and 0 individuals succeeded immediately. On the other hand, the second test demonstrates that the improvement results have a respectable impact on user experience, with 82.9 percent user indirect success, 17.1 percent bounce, and 0 users experiencing immediate success.
Pengembangan Portal Penjualan Lobster berbasis Web menggunakan Metode Scrum dengan Fitur Prediksi Harga menggunakan Regresi Linier Berganda Arga Sutri Pratama; Wiriasto, Giri Wahyu; Cipta Ramadhani
DIELEKTRIKA Vol 11 No 1 (2024): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v11i1.378

Abstract

This research aims to reveal effective design and content strategies to enhance the attractiveness of a website-based lobster export sales portal. These strategies are developed to capture attention and maintain buyer interest while integrating a one-month forward price prediction feature using linear regression. The research methodology involves implementing the Scrum method for website project management and multiple linear regression to forecast lobster prices. The focus lies on Scrum implementation in designing the sales portal and incorporating lobster price prediction features on the website. The research results demonstrate the successful development of the website using the Scrum framework within three sprints. Feasibility testing with Blackbox Testing aligns with expectations. Multiple linear regression is utilized to predict lobster prices, yielding a forecasted price of 587.3 for the 57th month. With a changing formula each month, the model aims for greater accuracy in anticipating lobster price fluctuations related to seasonal dynamics and specific events. This research provides insights into the implementation of Scrum in website design and practical applications of lobster price prediction in the context of export sales.
Prediksi Diabetes Melitus Tipe-2 Menggunakan Sequential Forward Selection (SFS) Dengan Algoritma Support Vector Machine (SVM) Saputra; Akbar, A. Syamsu Irfan; Cipta Ramadhani
DIELEKTRIKA Vol 11 No 1 (2024): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v11i1.381

Abstract

Diabetes is a chronic disease and can cause long-term complications if not handled properly. To prevent this, a machine learning model is needed to predict diabetes with high accuracy. This study aims to see the effect of reducing feature dimensions on model performance and to see the effect of data cleaning on model performance. This study used the Pima Indian Dataset, two models were created with different preprocessing stages. The first model was created without performing data cleansing, and the second model was created by performing data cleansing. After the next preprocessing stage, the number of features that produce the best performance is sought using Sequential Forward Selection and the model is drilled using the Support Vector Machine algorithm. After going through the training stage, the two models will be tested and their performance will be compared. The results showed that reducing the number of features made the model have better performance. And of the two types of models, the model that uses the data cleaning stage shows better performance.
Marketplace Data Analysis Using Web Scraping Akbar, A. Syamsu Irfan; Ramadhani, Cipta
DIELEKTRIKA Vol 11 No 2 (2024): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v11i2.397

Abstract

The rapid development of the internet in fast communication has provided significant benefits for business people, allowing them to offer and sell product information boldly. One of the main advantages is the ability to search and find a variety of products easily through the internet. This convenience has led to the proliferation of many online stores in Indonesia, so that the need for applications that can help users search and combine product data from the internet arises. This study aims to develop a web application for product data analysis by utilizing web scraping techniques on the Tokopedia marketplace website, using the BeautifulSoup4 (Bs4) method. The web application is designed using the Streamlit module from Python. The results of this study are web applications that process data analysis taken from the Tokopedia website, which are classified based on certain criteria such as price range, highest and lowest ratings, highest and lowest sales, highest and lowest prices, percentage of location distribution, percentage of seller stores, and product recommendations.
CATU DAYA LISTRIK SEL SURYA UNTUK SUPLAI PENERANGAN AKTIVITAS KELOMPOK NELAYAN DI DUSUN CEMARE Citarsa, Ida Bagus Fery; Wiryajati, I Ketut; Satiawan, I Nyoman Wahyu; Suksmadana, I Made Budi; Supriono, Supriono; Ramadhani, Cipta
Jurnal Pepadu Vol 5 No 4 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i3.5911

Abstract

Untuk mengatasi masalah yang dihadapi oleh Kelompok Nelayan ‘Obor Kehidupan' di Dusun Cemare, Desa Lembar Selatan, Kecamatan Lembar, Kabupaten Lombok Barat terkait penggunaan baterai (accu) sebagai sumber tenaga listrik yang mensuplai lampu penerangan perahu untuk menerangi perahu dan aktivitas melaut di malam hari, solusi yang ditawarkan adalah dengan menggunakan catu daya listrik sel surya (Pembangkit Listrik Tenaga Surya skala kecil). Penggunaan catu daya listrik sel surya memiliki kelebihan dibanding penggunaan baterai (accu) sebagai sumber tenaga listrik. Penggunaan catu daya listrik sel surya hanya memerlukan sinar matahari untuk proses pengisian sehingga tidak perlu dicabut dari instalasi lampu penerangan perahu nelayan. Tidak adanya proses mencabut, memindahkan dan memasang yang dilakukan berulang kali akan menghasilkan dua keuntungan bagi kelompok nelayan tersebut. Pertama, tidak menambah beban kerja sehingga menguntungkan secara teknis bagi kelompok nelayan. Kedua, tidak menyebabkan baterai yang ada di dalam catu daya listrik sel surya cepat rusak sehingga menguntungkan secara ekonomis bagi kelompok nelayan tersebut. Tim pelaksana pengabdian kepada masyarakat yang beranggotakan staf pengajar dan mahasiswa Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram telah melaksanakan kegiatan berupa pembelian alat dan bahan yang diperlukan, perakitan dan penyuluhan cara penggunaan catu daya listrik sel surya kepada pengurus dan anggota Kelompok Nelayan ‘Obor Kehidupan' di Dusun Cemare. Berdasarkan hasil evaluasi diperoleh hasil bahwa pengurus dan anggota kelompok nelayan tersebut telah dapat menggunakan catu daya listrik sel surya dengan baik. Selain itu juga diperoleh hasil berupa keuntungan teknis dan ekonomis bagi aktivitas nelayan dari Kelompok Nelayan ‘Obor Kehidupan' di malam hari.
Perubahan Fungsi Lahan Untuk Status Rawan Bencana Dengan Remote Sensing Di Daerah Mandalika: Changes in Land Function for Disaster Prone Status Using Remote Sensing in the Mandalika Area Yadnya, Made Sutha; Kanata, Bulkis; Zainuddin, Abdullah; Paniran, Paniran; Ramadhani, Cipta; Rosmaliati, Rosmaliati
Jurnal Pepadu Vol 5 No 4 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i4.5952

Abstract

Masalah utama Desa Tangguh Bencana (Destana)  di Desa Penyanggaya Sirkuit Madalika adalah bahaya tanah longsor akibat kemiringan tanah yang terjal,  masyarakat harus tahu kalau potensi tanah longsor dan menghidari pembuatan pemukiman akibat hujan atau gempa yang membuat retakan tanah. Situasi yang berbahaya tanah longsor dengan perubahan fungsi lahan dari perbukitan menjadi tanah urug. Universitas Mataram memiliki obsevatorium di Rembitan bagian dari Pusat Unggulan Iptek (PUI) Geomagnetik mengukur magnet bumi dengan satuan magnet bumi nTesla (Nano Tesla). Hasil pengukuran terjadi anomali (penurunan nilai magnet bumi. Ini merupakan precursor akan terjadinya gempa. Desa Sade dan Rembitan merupakan satu kawasan yang menjadi satu kesatuan yang harus dijaga dan memberikan pengetahuan akan bahaya banjir dan tanah longsor akibat cuaca ekstrim. Proses menggunaka remote sensing dengan foto udara. Hal hasil telah didapatkan bebarapa titik rawan bencana.
Klasifikasi Multiclass Pada Sound Healing menggunakan Algoritma Pseudo Neareset Neighbor Ramadhani, Cipta; Made Budi Suksmadana , I; Yadnya, Made Sutha
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 10 No. 4 (2024): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v10i4.751

Abstract

Sound healing, or commonly referred to as music therapy using Acoustic Sound for Wellbeing (ASW) equipment such as drums, gongs, bells, and other types that produce specific frequency vibrations, is used in the medical field to help patients experiencing anxiety or depression. Currently, research on sound healing focuses on methods to identify appropriate frequencies that influence stress and anxiety experienced by patients. This study presents the implementation of the Pseudo-Nearest Neighbour (P-NN) algorithm for classifying multiclass ASW. In general, the P-NN algorithm performs better for multiclass scenarios, particularly in identifying outlier data in each class. Furthermore, P-NN provides better performance for all confusion matrix parameters. Using two classes (Gong and Singing Bowl), the accuracy of the P-NN algorithm exceeds 92%. This demonstrates that the P-NN algorithm can provide better performance in handling outliers within the ASW dataset.
Optimasi Penyaluran Bantuan Langsung Tunai Menggunakan Algoritma K-Nearest Neighbor di Desa Penedagador Rosyida, Amrina; Kanata, Bulkis; Ramadhani, Cipta
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 2 (2025): JPTI - Februari 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.742

Abstract

Kemiskinan merupakan salah satu tantangan terbesar yang masih terus dihadapi semua bangsa termasuk Indonesia. Sesuai amanat konstitusi dalam pasal 34 UUD 1945, pemerintah terus berupaya melindungi dan memberdayakan masyarakat miskin melalui berbagai program strategis. Salah satu program yang ditawarkan pemerintah yaitu Bantuan Langsung Tunai. Tetapi karna ketersediaan sssdata sasaran masyarakat miskin yang kurang sesuai, menyebabkan program berjalan kurang optimal karena perlu verifikasi dan validasi ulang. Distribusi Bantuan Langsung Tunai (BLT) di Indonesia masih menghadapi kendala akibat ketidaktepatan data penerima, yang menyebabkan inefisiensi dalam penyalurannya. Kesalahan dalam data sasaran mengharuskan adanya proses verifikasi dan validasi ulang, sehingga menghambat efektivitas program. Penelitian ini bertujuan untuk mengoptimalkan penyaluran BLT dengan menerapkan metode klasifikasi K-Nearest Neighbor (KNN). Penelitian ini bertujuan untuk mengoptimalkan penyaluran BLT menggunakan pendekatan K-Nearest Neighbor, dengan 714 dataset dan empat atribut yaitu kondisi rumah, penghasilan, pekerjaan dan jumlah keluarga. Prinsip kerja KNN adalah mencari jarak terdekat antara data baru yang akan diuji dengan data latihnya. Untuk mencari jarak terdekat digunakan euclidean distance dengan 3 nilai k yang berbeda yaitu k=35, k=45, dan k=55. Hasil yang didapatkan untuk akurasi, presisi dan recall yang tertinggi yaitu menggunakan parameter k=35 memberikan performa terbaik  dengan nilai akurasi sebesar, 95%, presisi sebesar 95% dan recall sebesar 100%. Penerapan metode ini diharapkan dapat meningkatkan efisiensi distribusi BLT dengan memastikan bahwa bantuan tepat sasaran, sehingga mendukung kebijakan pengentasan kemiskinan secara lebih efektif.
Rancangan UI/UX Aplikasi Pite Tenun Dengan Edukasi Budaya Menggunakan Metode Design Thinking Wilitama Tantosa; Lalu A Syamsul Irfan Akbar; Cipta Ramadhani
Bulletin of Computer Science Research Vol. 5 No. 2 (2025): February 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i2.482

Abstract

Woven fabric is an Indonesian cultural wealth that can be found in various regions, one of which is in Sukarara Village, Lombok. Sukarara woven fabric is known as "songket fabric" with strong religious and cultural values so that it becomes a preserved heritage and the main source of livelihood for the village community. However, currently many outsiders are taking advantage by making weaving motifs and then printed and sold at very cheap prices. So that it causes a decline in the existence of cultural values in woven fabrics. The purpose of the study is to produce a UI/UX design design of the Pite Tenun application with Cultural Education in Sukarara Village and to get measurable results from the design results of prospective users using the System Usability Scale. This app is made with an attractive design with UI/UX that is tailored to your needs. Therefore, the Pite Tenun application is designed to be able to carry out an informative process of selling woven fabrics from the materials used and more accurate product details, in addition to the addition of the story of Sukarara Village Weaving and its history is expected to be a trusted cultural education and can increase the existence of cultural values in it. The results of the research obtained show that the UI/UX design of the Pite Weaving application with Cultural Education in Sukarara Village was successfully implemented. The results obtained have been measured from the design of prospective users using the System Usability Scale with a score of 2197.5 and the average total number of respondent scores is 73.25%. The results are categorized as excellence (grade B) based on SUS scores.
Co-Authors Abdul Aziz Abdul Nasir, Abdul Abdullah Zainuddin Adi Pramana, I Gusti Bagus Agung Budi Muljono Akbar, A. Syamsu Irfan Akbar, Lalu A. Syamsul Irfan Anis Arrafi, Muhammad Arga Sutri Pratama Ariessaputra, Suthami Astri Ayu Purwati Budi Irmawati Bulkis Kanata Bulkis Kanata Bulkis Kanata Cindy Pamela C Munaiseche Djulfikri Budiman Dwi Ratnasari Dwi Ratnasari Dwi Ratnasari Fransisca, Maria Giri Wahyu Wiriasto Hasmi, Suzana I Gede Pasek Suta Wijaya I Ketut Wiryajati I Komang Yoga Tri Pranata I Made Budi Suksmadana I Made Budi Suksmadana I Nyoman Wahyu Satiawan I Nyoman Wahyu Satiawan I Nyoman Wahyu Satiawan Ida Ayu Sri Adnyani Ida Bagus Fery Citarsa Ida Bagus Fery Citarsa Ida Bagus Fery Citarsa Irwan Irwan Kenya Damayanti Priyatna Lalu A Syamsul Irfan Akbar Lalu A.Syamsul Irfan akbar Lalu Fiqihilmi Laode Muhamad Tajidun Made Budi Suksmadana , I Made Sutha Yadnya Marjono, Hanum Listya Anggraini Misbahhuddin, Misbahhuddin Novianung, Lalu Triawanri Paniran Paniran Prasetya, Galang Putra, Urief Arsani Atma Putra, Zikrilah Ananda Rahmawati, Eva Yuni Rosmaliati , Rosmaliati Rosmaliati, Rosmaliati Rosyida, Amrina Saiidah, Saiidah Saputra Seniari, Ni Made Suksmadana, I Made Budi Supriono Supriono Supriono Supriono Supriono Supriono Supriono Syamsul Irfan Akbar, L Ahmad Teti Zubaidah Teti Zubaidah Wilitama Tantosa Wulandari, Ni Kadek Gea Aswina Yusrizal Zainuddin, Abdullah