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All Journal Semantik Jurnal Simetris Telematika Jurnal Transformatika CESS (Journal of Computer Engineering, System and Science) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Informatika Upgris E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Terpadu Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Journal of Information Systems and Informatics IJAIT (International Journal of Applied Information Technology) E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Teknik Informatika C.I.T. Medicom JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknologi Informatika dan Komputer Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Transformasi Jurnal Teknologi Informasi Cyberku Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Kabar Masyarakat NERO (Networking Engineering Research Operation) Tematik Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Dinamis: Jurnal Pengabdian Kepada Masyarakat Jurnal DIMASTIK
Astrid Novita Putri, Astrid
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Library & Information Science Mathematics Public Health Social Sciences Other

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PREDIKSI PENYEBARAN TUBERKULOSIS DI INDONESIA MENGGUNAKAN SINGLE MOVING AVERAGE Wardhani, Anindya Khrisna; Putri, Astrid Novita; Sari, Nur Latifah Dwi Mutiara
TRANSFORMASI Vol 19, No 2 (2023): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v19i2.386

Abstract

Penelitian ini bertujuan untuk meramalkan penyebaran Tuberkulosis (TB) di Indonesia menggunakan metode Single Moving Average (SMA) dengan tiga variasi ordo: 10, 5, dan 3, berdasarkan data jumlah penderita TB dari tahun 2000 hingga 2022. Hasil prediksi menunjukkan bahwa SMA berordo 3 memberikan kinerja terbaik dengan Mean Squared Error (MSE) sebesar 45,315, Root Mean Squared Error (RMSE) sebesar 952, dan Mean Absolute Deviation (MAD) sebesar 287,542. Model ini lebih sensitif terhadap perubahan dalam data, memberikan prediksi yang lebih akurat dibandingkan dengan ordo 5 dan 10. Kesimpulan menyoroti bahwa penggunaan SMA berordo 3 dapat memberikan informasi yang lebih akurat tentang tren penyebaran TB di Indonesia. Rekomendasi penelitian lebih lanjut mencakup eksplorasi metode analisis prediktif lainnya dan mempertimbangkan faktor-faktor tambahan yang dapat memengaruhi penyebaran TB, seperti faktor lingkungan dan kebijakan kesehatan.
Perbandingan Algoritma K-Means dan K-Medoids Untuk Clustering Harga Beras di Provinsi Jawa Tengah Setiaji, Galet Guntoro; Putri, Astrid Novita; Wicaksana, Dinar Anggit
Jurnal Transformatika Vol. 22 No. 1 (2024): July 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v22i1.10092

Abstract

Beras merupakan komoditas pangan utama bagi masyarakat di Indonesia khususnya di Jawa Tengah. Sebagai kebutuhan pokok, ketersediaan dan harga beras sangat mempengaruhi stabilitas ekonomi dan kesejahteraan masyarakat. Oleh karena itu, pemantauan dan analisis harga beras menjadi hal yang sangat penting. Salah satu hal dalam memahami harga beras adalah dengan melakukan clustering atau pengelompokan harga berdasarkan harga eceran beras medium. Clustering dapat memberikan gambaran lebih jelas variasi harga di jawa tengah metode yang digunakan yaitu K-Means dan K-Medoid dengan membandingkan metode  tersebut diharapkan mendapatkan informasi detail dan pola harga beras di berbagai daerah. Hasil yang didapatkan bahwa validitas DBI K-Means dengan K=3 dan K=5 lebih unggul dari pada menggunakan K-Medoids.
Implementasi Data Mining Untuk Estimasi Produktivitas Kacang Hijau Dengan Menggunakan Algoritma Regresi Linier Di Kabupaten Grobogan Kusumaningrum, Yulinda; Asmiatun, Siti; Putri, Astrid Novita
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.9450

Abstract

The Grobogan Regency Agriculture Service is an agency that operates in the agricultural sector. One of the crop commodities in Grobogan Regency is green beans. Judging from the results obtained each year, green bean production in Grobogan Regency is inconsistent. The rise and fall of green bean productivity is influenced by several factors. Factors such as area, production, number of farmers and productivity can be estimated to determine the production of green beans in Grobogan Regency. Therefore, using the Multiple Linear Regression algorithm is expected to help to obtain results on how much green bean production is in Grogoban Regency as a reference for farmers to increase their green bean harvest each year. Based on the calculation results, it was found that the estimated productivity of green beans in Grobogan Regency reached 760.8297302 Tons/Ha, whereas previously the land was 865 Hectares (Ha) Keywords: data mining, linear regression, estimation, productivity, green beans
Pemanfaatan Aplikasi Tiktok Sebagai Media Promosi Kuliner Di Kampung Jawi Kelurahan Sukorejo Semarang Wicaksana, Dinar Anggit; Christanto, Febrian Wahyu; Putri, Astrid Novita; Fitrianti, Ayang
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 2 (2024): MEI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

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

Abstract

Salah satu kendala yang dihadapi oleh anggota kelompok UMKM Kampung Jawi Kelurahan Sukorejo Semarang adalah ketidakmampuan mereka untuk menggunakan media digital untuk mempromosikan produk makanan dan penyewaan tempat. Salah satu tujuan dari kegiatan ini supaya pelaku UMKM dapat meningkatkan kemampuan membuat konten dan mempromosikan melalui TikTok dalam mendukung proses bisnis guna meningkatkan laba. Salah satu tujuan dari kegiatan ini adalah untuk membantu pelaku UMKM dalam meningkatkan kemampuan mereka untuk membuat konten dan mempromosikan melalui TikTok untuk meningkatkan keuntungan mereka. Metode kegiatan ini adalah dengan mengajarkan peserta tentang cara membuat konten dan mempraktikannya dengan menggunakan smartphone melalui aplikasi Tiktok. Hasil kegiatan ini menunjukkan bahwa peserta UMKM mengalami peningkatan kemampuan, seperti yang ditunjukkan oleh hasil kuesioner post-test sebesar 97% terhadap jawaban "YA", yang menunjukkan bahwa peserta UMKM telah memahami materi pelatihan yang diberikan dan telah membuat konten video yang profesional untuk produk.
PELATIHAN DAN IMPLEMENTASI SHOPEE PARTNER DALAM OPTIMALISASI PENJUALAN KAMPUNG JAWI SEMARANG Dinar Anggit Wicaksana; Christanto, Febrian Wahyu; Putri, Astrid Novita
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 4 (2024): Agustus
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i4.1104

Abstract

UMKM Kampung Jawi merupakan salah satu organisasi para pelaku UMKM yang berada di Kelurahan Sukorejo, Kecamatan Gunung Pati Kota Semarang. UMKM ini merupakan tempat kuliner tradisional, pertunjukan seni tradisional dan persewaan tempat untuk pernikahan. Dari haril wawancara dengan pendiri kampung jawi dalam usahanya untuk mempromosikan produk makanan, para pelaku UMKM memiliki kendala yaitu berkurangnya pembeli ketika hujan dan pada hari senin - jumat. Tujuan pengabdian ini adalah membantu pelaku UMKM dalam meningkatkan kemampuan membuat akun shopee partner sebagai tempat berjualan online untuk meningkatkan keuntungan. Metode yang digunakan dalam PkM ini dalam bentuk seminar dan praktek. Hasil kegiatan ini menunjukkan peningkatan kemampuan peserta UMKM, seperti yang ditunjukkan oleh hasil kuesioner post-test sebesar 100%, yang menunjukkan bahwa peserta UMKM memahami materi pelatihan yang diberikan dan telah membuat akun shopee partner untuk meningkatkan keuntungan penjualan.
MULTI-CRITERIA RECOMMENDER SYSTEM BERBASIS METODE WEIGHTED SUM DAN PARETO FRONT UNTUK MANAJEMEN SUMBER DAYA AIR Putri, Astrid Novita
NERO (Networking Engineering Research Operation) Vol 9, No 2 (2024): Nero - 2024
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v9i2.27840

Abstract

AbstractClean water is used daily to meet individual needs such as cooking, drinking, bathing, and more. Clean water is essential to support human metabolism, which impacts health. However, obtaining clean water has become increasingly difficult due to high population growth and rising demand, coupled with limited availability.This study develops a multi-criteria recommender system model that considers various criteria or attributes to provide valuable recommendations, facilitating better decision-making based on suitable recommendations regarding water production and consumption. Using the Pareto front and weighted sum methods, this model balances trade-offs among criteria. The results of this study offer an optimal solution for both consumers and water resource management in Semarang City to achieve balance, with W1 minimizing water consumption and W2 maximizing production. The recommended optimal solution is W1 = 0.5 and W2 = 0.5, yielding water consumption of 1,064,910.4 m³/ha and production yield of 14,933,601 tons/ha. Other findings include W1 = 0.1 and W2 = 0.9, yielding water consumption of 11,115,920 m³/ha and production yield of 16,341,636 tons/ha. W1 = 0.4 and W2 = 0.6, yielding water consumption of 11,115,920 m³/ha and production yield of 16,341,636 tons/ha, W1 = 0.7 and W2 = 0.3, yielding water consumption of 10,649,104 m³/ha and production yield of 14,933,601 tons/ha.These outcomes indicate optimal solutions based on different weighting balances between consumption and production criteria.Keywords: Multi-criteria recommender system, pareto front, water resource management
Pemanfaatan Teknologi Virtual Tour Reality Menggunakan Metode Image Stitching dan Seam Carving pada Desa Wisata Tawangmangu sebagai Media Promosi Inovatif Putri, Astrid Novita; Buana, Pratama Angga; Adinugroho, Suryo; Wardhani, Anindya Khrisna
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

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

Abstract

Tawangmangu Tourism Village in Central Java offers a wide range of attractions, including flower gardens, cultural traditions, and captivating natural beauty. However, challenges in adopting modern technology-based promotion limit its appeal to tourists. This study aims to develop a promotional medium based on a Virtual Tour Reality application utilizing Image Stitching and Seam Carving technologies. These technologies enable comprehensive visualization of destinations through 360° panoramic images, accessible on any internet-connected device.The Multimedia Development Life Cycle (MDLC) method was applied in the application development process, including data collection, design, production, testing, and distribution. Data was gathered through interviews with village tourism managers to analyze needs and provide relevant solutions. The study produced 151 panoramic images and a web-based virtual tour application that effectively attracts tourists with interactive and informative visualizations. The implementation of this technology not only enhances the accessibility of tourism information but also promotes the potential of Tawangmangu Tourism Village on a global scale. These results mark a significant first step toward integrating advanced technology into destination marketing strategies.
Selecting Achievement-Based Students Using Blockchain and AHP: Semarang University Case Study Hadi, Soiful; Putri, Astrid Novita; Buana, Pratama Angga
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.901

Abstract

The current learning process requires students to be active, creative, and innovative both in activities and lectures. Students are one of the main indicators in the accreditation of a university. Therefore, a tertiary institution is also required to be able to receive and provide assistance to students and graduates in the form of scholarships, such as achievement scholarships. At present, it is quite difficult to determine students who have excelled at tertiary institutions in considering and determining students who are entitled and appropriate to receive them. The Decision Support System is a solution to be able to assist in managing student achievement data and determining the right scholarship recipients, and is supported by blockchain technology so that security is guaranteed and protected so that it is not easily hacked and information can be tracked by parties who are given access, so that they can share information transparently. This study uses the waterfall system development method with the Analytcal Hierarchy Process (AHP) problem solving method for the analysis model of the decision support system , blockchain algorithms, and open source software used solidity ethreum. The actual results will be that a decision support system with the AHP model combined with Blockchain can help provide more precise decisions to determine more appropriate scholarship recipient students, as well as increase trust in parties in tracking every transaction information on student achievement activities transparently and safely.
Penerapan Naïve Bayes Untuk Analisis Sentimen Pada Ulasan Aplikasi Mobile Legends Perkasa, Attila Elang; Putri, Astrid Novita
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6507

Abstract

Indonesia has become one of the potential markets for the gaming industry, continually increasing the number of gamers. One of the most popular mobile games in Indonesia is Mobile Legends. Mobile Legends is an online multiplayer battle arena (MOBA) video game developed by Moonton, a game development company based in China. The influence of reviews on the reputation of an app also affects potential new users, whether the reviews are positive or negative. Research has shown that the Naïve Bayes model provides good accuracy for sentiment analysis. This study is expected to help understand the perceptions and experiences of players of the game. The study uses the KDD (Knowledge Discovery in Data) method due to its advantages in identifying organized patterns from a complex dataset, making the data easier to understand. During the research process, 320,513 positive reviews, 185,777 negative reviews, and 20,210 neutral reviews were obtained. The accuracy value remained constant at 87% for the 80:20 data split scenario. Performance on the negative class showed high precision at 88%. The negative recall was 92%, indicating that the model could accurately capture truly negative reviews. A stable F1-Score of 82% signifies a good balance between precision and recall for the negative class. Performance on the positive class showed 87% precision and 83% recall. The F1-Score between the two was nearly balanced, indicating that the model performed similarly for both labels overall.
Virtual Tour Menggunakan Image 360° Dual-Fish Eye Menggunakan Metode Gambar Panorama Desa Wisata Tawangmangu Putri, Astrid Novita; Buana, Pratama Angga; Adinugroho, Suryo
Jurnal Informatika UPGRIS Vol 9, No 2: Desember 2023
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v9i2.17786

Abstract

Virtual tour ataupun virtual tour reality merupakan penerapan teknologi immersive yang  merupakan teknologi kreatif yang mendukung visualisasi destinasi berbasis gambar panorama 360°. Virtual tour ini mencitakan suasana mirip dengan kondisi sebenarnya sehingga dapat dipergunakan sebagai media promosi online yang menarik calon wisatawan untuk mengunjunginya. Beberapa aplikasi virtual tour sudah dikembangkan oleh Dinas Pariwisata Indonesia sehingga menarik wistawan untuk mengunjungi daerah wisata tersebut yang dapat diakses melalui online maupun offline.Akan tetapi untuk Desa Wisata Tawangmangu Jawa Tengah belum ada yang menggembangkan menggunakan teknologi virtual tour reality.Sehingga pada penelitian ini kami membuat aplikasi virtual tour menggunakan tools Web GL, 3D Vista dan Image 360° serta metode gambar panorama dengan menggambungkan dua gambar atau lebih dengan resolusi tinggi dan Metode Penggembangan Sistem menggunakan Mixed Method berbasis web yang dapat diakses dianapun. 
Co-Authors Adinugroho, Suryo Agusta Praba Ristadi Pinem Ahmad Rifa’i April Firman Daru Ashour, Salim Fathi Salim Basworo Ardi Pramono Febrian Wahyu Christanto Fitrianti, Ayang Galet Guntoro Setiaji Hadi, Soiful Hanif, Mohammad Burhan Joko Suntoro Khoirudin Khoirudin Kusumaningrum, Yulinda Lakhmudien, Lakhmudien Latius Hermawan M. Zakki Abdillah Mochamad Hariadi Nur Latifah Dwi Mutiara Sari Nur Wakhidah paulus harsadi Perkasa, Attila Elang Pratama Angga Buana Rastri Prathivi Rastri Prathivi Ruri Suko Basuki Sari, Yuhana Indah Shona Chayy Bilqisth Siti Asmiatun, Siti Soiful Hadi Susanto Susanto Titin Winarti Vensy Vydia Victor Gayuh Utomo Wardana, Hafiq Ibnu Wardhani, Anindya Khrisna Wardhani, Anindya Khrisna Whisnumurti Adhiwibowo Wicaksana, Dinar Anggit Wiratama Adi Wibawa ZAMAN, BADROE