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Sosialisasi Entrepreneur Untuk Siswa Kelas VIII SMP Sapta Andika Denpasar Putri, Kompiang Martina Dinata; Mulyawan, I Putu Arya; Ariasih, Ni Kadek; Suandana, Ni Putu Widantari; Murpratiwi, Santi Ika; Aristana, Made Dona Wahyu; Desmayani, Ni Made Mila Rosa; Ratnaningrum, Luh Putu Rara Ayu; Suryawan, I Wayan Dharma; Pramawati, I Dewa Ayu Agung Tantri
Journal of Social Work and Empowerment Vol 3 No 2 (2024): Journal of Social Work and Empowerment - Februari 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/jswe.v3i2.514

Abstract

Kewirausahaan merupakan suatu kemampuan untuk menciptakan sesuatu yang berbeda maupun baru sebagai bentuk implementasi ide kreatif untuk menciptakan peluang. Melalui kewirausahaan dapat menjadi solusi untuk meningkatkan ekonomi masyarakat dan memperkecil pengangguran. Menyikapi perkembangan dan perubahan teknologi, budaya, dan gaya hidup yang terjadi saat ini, maka berbagai inovasi untuk mengambangkan kewirausahaan gencar dilakukan salah satunya adalah inovasi untuk meningkatkan minat generasi muda dalam berwirausaha. Berdasarkan kurikulum merdeka, Sekolah Menengah Pertama menjadi sekolah yang harus menyampaikan mata pelajaran kewirausahaan. Salah satu SMP yang sudah menerapkan kurikulum merdeka dan memberikan mata pelajaran kewirausahaan pada peserta didiknya yaitu SMP Sapta Andika Denpasar. Tim pelaksana PKM melakukan observasi dan wawancara kepada pihak sekolah dan siswa melalui pre-test khususnya untuk siswa kelas VIII dan didapatkan hasil hasil bahwa 68% dari 272 responden siswa tertarik untuk menjadi entrepreneur, namun sebanyak 75.7% siswa tidak mengerahui istilah entrepreneur, 55.9% belum mampu menjawab dengar benar contoh entrepreneur, 60.7% siswa belum pernah mencoba membuka usaha, dan 77.2% siswa belum mengetahui tentang digital entrepreneur. Berdasarkan hasil pre-test tersebut, kami dari tim pelaksana PKM bekerjsama dengan pihak SMP Sapta Andika untuk memberikan sosisalisasi secara offline kepada siswa kelas VIII terkait entrepreneur. Sosialisasi dilakukan pada hari Selasa, 30 Mei 2023. Setelah dilakukan sosialisasi didapat hasil bahwa 75.2% dari 262 siswa pengisi post-test tertarik menjadi entrepreneur dan dari 7 pertanyaan terkait entrepreneur yang diajukan, rata-rata 70% dari 262 siswa mampu menjawab pertanyaan dengan benar. Hal ini dapat disimpulkan bahwa sosialisasi mengenai entrepreneur ini memberikan manfaat kepada siswa dengan menambahkan pengetahuan dan pemahaman siswa terkait entrepreneur dan memulai usaha.
Interactive Multimedia "Melajah Cecimpedan Bali" for Elementary School Students Based on Android Putra, Putu Satria Udyana; Murpratiwi, Santi Ika; Adnyana, I Nyoman Widhi; Meinarni, Ni Putu Suci; Sari, Ni Wayan Yunita
Jurnal Multidisiplin Sahombu Vol. 4 No. 01 (2024): Jurnal Multidisiplin Sahombu, 2024
Publisher : Sean Institute

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

Abstract

Bali is famous for its strong and inherent culture in an area, one of which can be seen from the traditional arts that are still preserved by the community. Cultural heritage in the form of traditional arts in Bali still has a lot to be developed, preserved by the community and the younger generation. One of Bali's cultural heritage is Cecimpedan which is a Balinese puzzle. In an increasingly advanced era, traditional arts are beginning to be forgotten by the younger generation. One of the efforts that can be made so that culture in the form of traditional arts is preserved in the global flow that is advancing from year to year, through the use of interactive learning media in the learning process. The purpose of this research is to introduce cecimpedan to the younger generation, that learning traditional arts in the form of Balinese cecimpedan is no less fun than learning modern culture. The data obtained in this study from observation, questionnaires, and interviews. Based on the results of the questionnaire with a percentage of 97.2% or 72 respondents stated that the material presented in this interactive multimedia application is easy to understand.
Implementation of an Information System for Transaction Data Analysis Using the Holt-Winters Method Murpratiwi, Santi Ika; Rukmi Sari Hartati; Made Sudarma
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 7 No 2 (2023): Desember 2023
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v7i2.573

Abstract

Decision-making errors are fatal in company operations and often result in reduced profits. In making the right decisions, in-depth internal and external data analysis is required. One effort to increase decision-making accuracy is to apply a forecasting algorithm for existing transaction data. This research uses data mining and Forecasting for car repair companies. The information system being built is expected to be able to display a list of satisfied customer data, group transaction data based on the level of damage, and provide forecasts for the number of panels, number of units, and total revenue for the next period. From this data, it will be easier for management to determine the number of workers, additional tools, and stock of materials for the vehicle repair process. This information system was built by applying three algorithms, namely C4.5, K-Means, and Holt Winter Multivariate. The C4.5 algorithm will help group customer types, K-Means will help cluster vehicle damage levels, and Holt-Winters will be used for experience. The tests carried out included testing the accuracy of each algorithm, the black box system, and the system time so that the accuracy results were 100% for the C4.5 classification algorithm and 92.28% for the accuracy of K-Means which was tested with the purity measure. Meanwhile, the MAPE value for forecast testing was between 9 – 11% for each forecast.
ANALISIS PEMILIHAN CLUSTER OPTIMAL DALAM SEGMENTASI PELANGGAN TOKO RETAIL Murpratiwi, Santi Ika; Agung Indrawan, I Gusti; Aranta, Arik
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 18 No. 2 (2021): Edisi Juli 2021
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.37 KB) | DOI: 10.23887/jptk-undiksha.v18i2.37426

Abstract

Saat ini pemanfaatan data menjadi fokus dalam bidang pemasaran khususnya untuk menyusun strategi. Agar strategi pemasaran bisa tepat sasaran dibutuhkan segmentasi pelanggan. Data mining khususnya clustering mampu membantu proses segmentasi pelanggan. Dalam penelitian ini, data mining diimplementasikan untuk segmentasi pelanggan UD. XYZ dengan metode K-Means, K-medoids, dan Means.. Tujuan penelitian ini adalah mencari metode dan nilai k terbaik yang dihasilkan dari tiga metode clustering. Penelitian ini menyajikan proses Data Mining dengan menggabungkan model RFM dengan algoritma clustering K-Medoids, X-Means, dan K-Means. Dataset yang telah diimplementasikan ke dalam model RFM digunakan sebagai bahan pengolahan data. Data transaksi dengan jumlah 153.492 diimplementasikan ke dalam model RFM menjadi 10.145 data untuk dilakukan identifikasi pelanggan potensial. Inisialisasi cluster awal pada metode K-Medoids, X-Means, dan K-Means dilakukan secara random. Nilai k dalam penelitian ini diinisialisasi dari 1 sampai 10. Nilai k diimplementasikan secara berulang dan dihitung validasi cluster menggunakan metode David Bouldin Index (DBI) dan jaraj rata-rata cluster dengan centroid. Hasil penelitian menunjukkan K-medoids memiliki nilai validitas yang lebih baik dibandingkan dengan X-Means dan K-Means. Rata-rata nilai DBI yang dihasilkan metode K-Medoids adalah 0,540778. Jumlah cluster terbaik yang dihasilkan adalah 5 cluster, hal ini ditentukan dengan mempertimbangkan jumlah persebaran data pada k = 5 yang menghasilkan nilai sama pada metode K-Medoids, X-Means, dan K-Means. Tingkatan pelanggan yang terbentuk adalah About To Sleep, Customer Needing Attention, Recent Customer, Potential Loyalist, dan Loyal Customers.
PEMANFAATAN BUSINESS INTELLIGENCE UNTUK ANALISIS PRODUKSI PADI DI PULAU SUMATERA Wardiani, Nazmi; Murpratiwi, Santi Ika; Kansha, Lyudza Aprilia; Sari, Gita Mailand
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 1 (2024): March 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i1.381

Abstract

Pertanian padi di wilayah Sumatera memegang peran penting dalam memastikan ketersediaan pangan bagi Indonesia. Namun, tantangan serius terkait dengan organisasi dan sistematisasi data pertumbuhan dan produksi tanaman padi di pulau ini membatasi efektivitas pengambilan keputusan. Penelitian ini mengusulkan pemanfaatan business intelligence untuk menganalisis produksi padi di Sumatera dengan fokus pada pengembangan dashboard sistem. Melalui pendekatan ini, data yang ada akan diorganisir dan dianalisis dengan baik untuk memperoleh pemahaman yang lebih mendalam tentang dinamika pertumbuhan tanaman padi di wilayah ini. Pendekatan praktis yang diambil dalam penelitian ini adalah pengembangan dashboard sistem yang menggunakan business intelligence sebagai pusat informasi menyeluruh, mencakup berbagai aspek terkait pertanian padi di Sumatera. Dengan menggunakan business intelligence, dashboard ini diharapkan mampu menganalisis data pertumbuhan tanaman padi secara sistematis dan mudah dipahami. Informasi yang disajikan mencakup berbagai aspek, seperti tren luas pertanaman padi di tiap provinsi, perbandingan produksi padi, rata-rata curah hujan, suhu, tingkat kelembapan, dan peramalan luas panen. Diharapkan pemanfaatan business intelligence dalam pembuatan sistem dashboard untuk menganalisis produksi padi dapat memberikan wawasan yang lebih mendalam kepada para pemangku kepentingan dalam industri pertanian, memudahkan mereka dalam pengambilan keputusan yang lebih baik, dan pada akhirnya, meningkatkan produktivitas dan keberlanjutan sektor pertanian padi.
MENGURANGI TABRAKAN SINYAL DI JARINGAN MANET DENGAN METODE DPT PADA PROTOKOL ROUTING FSR Jatmika, Andy Hidayat; Huwae, Raphael Bianco; Murpratiwi, Santi Ika
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 1 (2024): March 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i1.382

Abstract

Sinyal komunikasi memainkan peran sentral dalam memastikan keberhasilan transmisi data dan konektivitas antar perangkat di dalam jaringan Mobile Ad hoc Network (MANET). Sinyal ini memungkinkan perangkat untuk berkomunikasi satu sama lain dan mentransmisikan data. Sebelum dilakukan pengiriman data, perlu dilakukan proses routing untuk mengetahui rute menuju perangkat tujuan yang hal ini dilakukan oleh protokol routing. Pada penelitian ini digunakan protokol routing proaktif yaitu Fisheye State Routing (FSR) dimana FSR secara berkala harus selalu melakukan update tabel routing sehingga membuat perangkat jaringan sering berkomunikasi satu dengan yang lain. Banyaknya jumlah perangkat dalam jaringan yang saling berkomunikasi akan membuat sinyal komunikasi saling bertabrakan. Tabrakan sinyal komunikasi merupakan salah satu faktor utama yang dapat menurunkan kinerja jaringan, salah satunya adalah penurunan throughput yang berdampak pada keberhasilan pengiriman data karena dapat menyebabkan data yang ditransmisikan menjadi rusak atau hilang. Penelitian ini mengusulkan adanya pengelolaan jarak jangkauan kekuatan sinyal komunikasi menggunakan metode Dynamic Power Transmission (DPT) yang diterapkan pada kerangka protokol routing FSR. Metode DPT secara dinamis akan menyesuaikan jarak jangkauan sinyal berdasarkan tingkat kepadatan node tetangga sehingga tabrakan sinyal dapat dikurangi. Hasil penelitian menunjukkan bahwa protokol routing DPT-FSR memberikan kinerja yang lebih baik sehingga meningkatkan nilai throughput dan packet delivery ratio (PDR) serta menurunkan end to endt delay jika dibandingkan dengan protokol routing FSR standar. Protokol routing DPT-FSR mampu memberikan rata-rata peningkatan throughput sebesar 67.49%, peningkatan PDR sebesar 20.38%, dan mengurangi end to end delay sebesar 29.44% dari berbagai variasi kepadatan node.
RANCANG BANGUN SISTEM INFORMASI “OBATPEDIA” SEBAGAI MEDIA EDUKASI TENTANG OBAT-OBATAN BERBASIS WEBSITE Rizki, Muhammad Ainur; Murpratiwi, Santi Ika; Anjarwani, Sri Endang
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 2 (2024): September 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i2.407

Abstract

Today, the ease of obtaining medicines for the public has improved significantly thanks to developments in technology and healthcare infrastructure. Access to medicines has become easier through pharmacies. A survey of 35 community members in Lombok, West Nusa Tenggara showed that 85.3% stored medicines without doctor's instructions and needed education on the proper use of medicines. A survey of 23 pharmacists also showed that 95.5% of pharmacists need a drug education platform that makes it easier for them to provide drug education. Departing from the problem of the lack of public understanding of medicines and the need for pharmacists to provide drug education easily, this study aims to design and build an information system, “ObatPedia,” as an educational media about website-based medicines. The method used is Personal Extreme Programming (PXP) because this website will be developed flexibly, quickly, and responsive to change. In this method, some stages are passed, including Planning, Iteration, Initialization, Design, Implementation, and Testing, so the website can be developed with the expected features and usability. The results Mean opinion score of this system a Mean Opinion score of 4.345 from the public and 4.472 from pharmacists on a scale of 1 to 5, which shows that users strongly agree that the ObatPedia website can help to increase public knowledge and understanding of medicines.
SISTEM INFORMASI E-KATALOG PERPUSTAKAAN MUSEUM NEGERI NUSA TENGGARA BARAT BERBASIS WEBSITE Ulya, Uswatul; Murpratiwi, Santi Ika; Luqyana, Salsabila
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 2 (2024): September 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i2.424

Abstract

Library digitalization has become increasingly important in the era of information technology development. Digitalization enables libraries to provide easier and more efficient access to various information sources. This study proposes to design and construct an online e-catalog information system for the Nusa Tenggara Barat State Museum Library, which currently relies on manual book searches. The waterfall model was the software development methodology utilized in this study. This research is designed to facilitate library data management and assist visitors in finding the books they need. The implementation of this system includes features such as sign-in, dashboard, profile, services, and catalog. The testing results demonstrate that the system is intuitive, offers comprehensive information, and all functionalities function as intended. In conclusion, this e-catalog information system successfully improves the effectiveness of library services and simplifies book data management.
Analyzing Technology Acceptance Model for Lombok Traditional Food Restaurant in GoFood Application Bimantari, Joselina Rizki; Alamsyah, Noor; Murpratiwi, Santi Ika
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.74816

Abstract

During the COVID-19 pandemic, Lombok Island, known for its stunning natural beauty, faced significant challenges in its culinary industry, resulting in a drastic decline in revenue and tourist visits. Embracing technological solutions, particularly through food delivery apps like GoFood, became pivotal in overcoming these obstacles. These apps not only sustained local restaurants during the pandemic but also preserved Lombok's distinctive cuisine, such as Sate Rembiga. Beyond pandemic resilience, GoFood played a crucial role in balancing global technological advancements and supporting daily activities. The aim of this research is to employ the Technology Acceptance Model (TAM) using Partial Least Square (PLS) approach to analyze the adoption of the GoFood application among owners of traditional Lombok cuisine restaurants, particularly focusing on the impact of the COVID-19 pandemic. This research method is designed to assess the extent of acceptance and adoption of GoFood among these restaurant owners during the pandemic, identifying key factors influencing their technological acceptance. The results of this research offer insights into the dynamics of technology acceptance within Lombok's culinary sector amid external changes such as the pandemic. In conclusion, understanding these dynamics can inform strategies to enhance the utilization of food delivery apps in traditional culinary businesses, ensuring resilience and adaptation in the face of unforeseen challenges.
DEVELOPMENT OF AN E-CANTEEN SYSTEM WITH EXTREME PROGRAMMING TO OPTIMIZE EFFICIENCY, TRANSPARENCY, AND ACCOUNTABILITY IN CANTEEN MANAGEMENT AT THE FACULTY OF ENGINEERING, MATARAM UNIVERSITY Murpratiwi, Santi Ika; Al Qadri, Ramadhani; Widiartha, Ida Bagus Ketut; Irmawati, Budi; Afwani, Royana; Agitha, Nadiyasari; Rassy, Regania Pasca
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.3449

Abstract

The e-Canteen system enhances efficiency and user experience in electronic-based canteen services. The study aimed to develop a platform streamlining transactions, inventory management, and interaction between customers and canteen service providers. Before implementation, critical issues identified included manual inventory management and slow ordering processes, which created inefficiencies. The system allows customers to order, pay, and track stock availability online, leading to a more efficient and convenient purchasing process. For canteen service providers, automated inventory management helps optimize stock control and reduces manual errors, promising a more streamlined and error-free operation. The E-Canteen system offers significant benefits to both customers and service providers. Customers enjoy a more efficient and convenient purchasing process, while service providers benefit from optimized stock control and reduced manual errors, fostering a more productive and error-free work environment. Additionally, BLU Unram can monitor canteen performance, enabling data-driven decisions to improve services and policies. The system was developed using the Extreme Programming (XP) method, which ensured a user-centered design and rapid adaptation to feedback. Findings from the study demonstrated a 30% improvement in operational efficiency, with user satisfaction significantly increased according to internal surveys. The E-Canteen system addresses the operational challenges of managing canteen services and integrates smoothly with modern technological advancements, providing a scalable and adaptive solution for future growth. This system effectively resolves issues in traditional canteen management, offering benefits to customers and service providers regarding efficiency, convenience, and service quality.