cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Risky Aswi Ramadhani
Contact Email
riskyaswiramadhani@gmail.com
Phone
+6281231834110
Journal Mail Official
generationjurnal@gmail.com
Editorial Address
Jl. KH. Achmad Dahlan No. 76 Mojoroto, Kota Kediri 64112.
Location
Kota kediri,
Jawa timur
INDONESIA
Generation Journal
Published by Universitas Nusantara PGRI Kediri
ISSN : 25804952     EISSN : -     DOI : https://doi.org/10.29407
Core Subject : Science,
Computer Science & IT
Generation (Genius Research Implementation Of Information Technology) Journal diterbitkan oleh Universitas Nusantara PGRI Kediri dan dikelola oleh Prodi Teknik Infomatika Universitas Nusantara PGRI Kediri. Tujuan dari Jurnal ini adalah untuk memfasilitasi publikasi ilmiah dari hasil-hasil penelitian di Indonesia dan berpartisipasi untuk meningkatkan kualitas dan kuantitas penelitian untuk akademisi dan peneliti dalam bidang teknologi informasi. GENERATION Journal diterbitkan setiap bulan Januari dan Juli.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 138 Documents
 10   11   12   13   14 
Rancang Bangun Sistem Monitoring dan Kendali Tanaman Pintar Berbasis Android Pangestu, Arnan Dwi; Hasanah, Herliyani; Muhtarom, Moh.
Generation Journal Vol 9 No 1 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i1.24603

Abstract

Perkembangan teknologi di bidang perkebunan, khususnya dalam sistem penyiraman tanaman, telah mengalami kemajuan yang signifikan. Penyiraman merupakan kegiatan penting untuk menjaga kesegaran dan pertumbuhan tanaman, karena tanaman memerlukan air untuk kelangsungan hidup. Umumnya, penyiraman dilakukan pada pagi dan sore untuk memberikan kelembapan optimal. Namun, banyak petani yang kesulitan menentukan waktu dan jumlah air yang tepat, terutama di perkotaan dengan keterbatasan ruang dan waktu. Salah satu masalah utama dalam penyiraman tanaman adalah kurangnya kemampuan untuk memantau kelembapan tanah pada tanaman dan penyiraman otomatis. Oleh karena itu, dibutuhkan sistem monitoring dan kendali yang efisien dan efektif untuk membantu pengelolaan tanaman. Penelitian ini bertujuan mengembangkan sistem kendali tanaman berbasis Internet of Things (IoT) yang dapat menyiram tanaman secara otomatis. Sistem ini dilengkapi dengan sensor kelembapan tanah dan sensor ketinggian air untuk memantau kondisi tanaman secara real-time. Data yang diperoleh dari sensor dikirimkan ke Firebase dan ditampilkan pada aplikasi mobile. Hasil percobaan menunjukkan bahwa kelembapan tanah dipantau dengan nilai awal 53%, 46/%, dan 41%, serta ketinggian air 80%, 75%, dan 70%. Delay sensor kelembapan tanah tercatat 1 detik, pengiriman data ke Firebase 3 detik, dan ke aplikasi mobile 2 detik. Sistem ini membantu menjaga kelembapan tanah dengan efektif, mempermudah perawatan tanaman
Sistem Controlling Pembuatan Pakan Ternak Silase Menggunakan ESP32 Berbasis IoT Annisa, Fera; Farida, Intan Nur; Sahertian, Julian; Yahya, Nisaa’ Husnia; Septiawan, Indra; Salsabila, Adinda Meylia; Setiawan, Bima
Generation Journal Vol 9 No 1 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/sdt1c007

Abstract

Penelitian ini mengembangkan sistem controll pembuatan pakan ternak silase berbasis Internet of Things (IoT) menggunakan ESP32. Sistem ini dirancang untuk memantau suhu, kelembapan, dan pH secara real-time dengan memanfaatkan sensor DHT21 dan sensor pH tanah, yang terhubung ke Firebase sebagai database. Sistem dilengkapi antarmuka berbasis web dan LCD, sehingga memudahkan peternak dalam memantau kondisi pakan dari jarak jauh. Proses produksi silase dilakukan selama 19 hari dengan hasil grade yang diukur berdasarkan nilai pH, menunjukkan tingkat keberhasilan produksi berada pada Grade C (rendah). Functional testing, usability testing, dan blackbox testing memastikan sistem bekerja sesuai kebutuhan dengan nilai rata-rata usability sebesar 88,2%, termasuk kategori "Baik Sekali." Hasil pengujian menunjukkan bahwa sistem ini mampu memberikan data yang akurat dan stabil, meskipun memerlukan kalibrasi berkala. Tegangan dari aki motor 12V berhasil diturunkan menjadi 5V menggunakan modul stepdown untuk menjaga keandalan perangkat. Sistem ini juga menawarkan notifikasi otomatis saat terjadi kondisi abnormal, sehingga tindakan korektif dapat segera dilakukan. Sistem ini terbukti efektif dalam membantu peternak memantau proses fermentasi silase dan mengurangi risiko kegagalan produksi. Namun, peningkatan stabilitas sensor, optimasi komposisi pakan, dan koneksi internet yang lebih kuat diperlukan untuk meningkatkan hasil produksi dan kualitas pakan. Dengan demikian, sistem ini memberikan solusi inovatif bagi peternak dalam memproduksi pakan ternak secara efisien, andal, dan berkelanjutan
Prototype of IoT Application for Monitoring Street Lighting by Utilizing Solar Power Atmojo, Fattah Satrio; Nurchim; Pramono
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25694

Abstract

Street lighting plays a vital role in ensuring the safety and comfort of road users, especially at night. Manual monitoring of streetlights is considered inefficient as it requires significant time and effort. This study proposes an automatic monitoring system based on the Internet of Things (IoT) to enhance the effectiveness of streetlight supervision. The system is built using an ESP32 microcontroller integrated with a current sensor, voltage sensor, and light sensor (LDR). The device connects to the internet and transmits data in real-time to a cloud-based platform, where it is visualized on a monitoring dashboard. Test results show that the system can accurately detect the on/off status of the lights, with LDR readings ranging from 0 to 4045, current sensor showing 0.2 amperes, and voltage sensor recording 7.4 volts. Additionally, the system can automatically control the relay to switch the lights on or off based on sensor input. Overall, the proposed system improves the efficiency of monitoring, enables faster detection of lighting conditions, and supports more timely and energy-efficient maintenance of street lighting infrastructure
Analytical Hierarchy Process to Determine Drug Inventory at The Pharmaceutical Installation of UPT Puskesmas Mandala Ritonga, Siti Juhroini; M. Fakhriza
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25699

Abstract

Inaccurate planning of drug needs can hamper health services, especially in facilities such as UPT Puskesmas Mandala. This research aims to help the process of determining drug supplies effectively by applying the Analytical Hierarchy Process (AHP) method. This method is used to determine priority weights based on four main criteria which include price, availability, popularity, and effectiveness. Data were obtained through observations and interviews at UPT Puskesmas Mandala, then analyzed using RapidMiner software. The results of the analysis show that Vitamin C drugs have the highest score of 0.327915 so they are the top priority in procurement, while Cetirizine is ranked lowest. This finding proves that the AHP method is able to prioritize objectively and systematically, so that it can be a solution in improving the efficiency of planning drug needs at puskesmas
Analysis of the Effect of Dynamic Pricing Based on Intelligent Transportation Systems on User Preferences for Online Transportation Modes Azzah Ula Nabillah Yoni; Mega Sintya Ose Attawuwue; Rizal Aprianto
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25881

Abstract

The development of digital technology in the transportation sector has led to the emergence of online transportation services with the application of dynamic pricing based on Intelligent Transportation Systems (ITS). This study aims to analyze the influence of perceptions toward dynamic pricing and ITS on users' preferences in choosing online transportation modes. The method used is quantitative descriptive, with a questionnaire distributed to 81 PKTJ Tegal students as the sample, selected through purposive sampling technique. Data were analyzed using descriptive statistics via SPSS to identify trends in respondents' perceptions and preferences. Results indicate that perceptions of ITS have a high average score (4.04), followed by preferences for using online transportation modes (3.97), and perceptions of dynamic pricing (3.62). These findings indicate that fares are fluctuating, and users' trust in the efficiency and fairness of the ITS system remains high for online transportation services. This study contributes to providing an empirical overview of the importance of ITS in improving service quality and user preferences, as well as offering recommendations for the broader development of ITS-based transportation systems, particularly in developing cities like Tegal
Adaptation of Contrastive Learning and Augmentation for Indonesian Product Review Classification on Unbalanced Data Using Deep Learning and NLP Reknadi, Danang Bagus; Rohman, M. Ghofar; Mustain; Utomo, Aphila Fraga Listyo
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25783

Abstract

In the digital era, product reviews are an important source of information for consumers and businesses because they influence purchasing decisions and marketing strategies. However, the distribution of sentiment in product reviews is often unbalanced, with positive reviews dominating and negative reviews being limited. This condition poses a challenge in developing text classification models, especially for Indonesian which has a complex morphological structure and very rich vocabulary variations. This study adapts the Contrastive Learning method for the classification of unbalanced Indonesian language product reviews and tests the effectiveness of text augmentation techniques in improving representation, especially for minority classes with limited data. Data were obtained through web scraping from Indonesian e-commerce platforms, totaling around 10,000 reviews with a composition of 52% positive, 30% negative, and 18% neutral. The data was processed and expanded using augmentation techniques to significantly increase the variety and amount of training data. The LSTM model trained on the original data and the augmented data, showing an increase in validation accuracy from around 73% to almost 100% in the 30th epoch, with a final accuracy reaching 92% and an F1-Score of 90%. These results confirm that the incorporation of data augmentation is crucial to address imbalance, thereby improving the robustness and reliability of the model in product review sentiment classification
Stunting Data Warehouse Modeling for Dashboards at the P2KBP3A Office Tohir, Arik Sofan; Suryono, Suryono; Susiloningtyas, Luluk; Cahyono, Aris Dwi; Zeho, Fannidya Hamdani
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25644

Abstract

The P2KBP3A Office of Kediri Regency is one of the agencies that handles stunting issues. To collect data on children under two years of age (baduta) in each village, this agency is assisted by cadres in each region. The data that has been collected certainly needs to be processed in order to produce information that is useful for decision makers in determining policies. Processing large amounts of data requires data warehouse technology as one of the solutions. In designing this data warehouse, the Nine Step Kimball method with the Star Schema diagram model was used. With this data warehouse, information on the number of stunting cases in each area can be obtained, starting from the sub-district level, village, to hamlet. Additionally, data can also be viewed based on the target and the status of that target, whether it is normal, stunted, wasted, stunted and wasted, or pre-stunted
Web GIS-Based Mapping of the Level of Damage to Houses Caused by Natural Disasters Masruri, ruri; khurotul; fathul
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.26063

Abstract

Natural disasters can cause significant physical damage, especially to residential buildings. This study aims to develop a Web GIS-based mapping system for assessing the level of damage to houses caused by natural disasters in order to assist in the efficient identification and mitigation of post-disaster conditions. The research was conducted in Sridadi Village, Sirampog District, Brebes Regency, which is one of the areas prone to landslides. The damage assessment method uses scoring and weighting based on guidelines from the Ministry of Public Works and Public Housing, which covers building components such as foundations, columns, walls, and others. The system was built using the Django framework and PostgreSQL database. Testing was conducted using the Black Box method and User Acceptance Test (UAT). The test results showed that 91% of respondents stated that this Web GIS was very helpful for affected communities in determining the level of damage, and 78% stated that this system was useful for post-disaster planning and decision-making. These results prove that the Web GIS that was developed is effective in presenting spatial information and supporting the disaster recovery process

Page 14 of 14 | Total Record : 138

 10   11   12   13   14 

Filter by Year

2017 2025


Reset
Filter By Issues
All Issue Vol 9 No 2 (2025): Generation Journal Vol 9 No 1 (2025): Generation Journal Vol 8 No 2 (2024): Generation Journal Vol 8 No 1 (2024): Generation Journal Vol 7 No 3 (2023): Special Issue October 2023 Vol 7 No 2 (2023): Generation Journal Vol 7 No 1 (2023): Generation Journal Vol 6 No 2 (2022): Generation Journal Vol 6 No 1 (2022): Generation Journal Vol 5 No 2 (2021): Generation Journal Vol 5 No 1 (2021): Generation Journal Vol 4 No 2 (2020): Generation Journal Vol 4 No 1 (2020): Generation Journal Vol 3 No 2 (2019): Generation Journal Vol 3 No 1 (2019): Generation Journal Vol 2 No 2 (2018): Generation Journal Vol 2 No 1 (2018): Generation Journal Vol 1 No 2 (2017): Generation Journal Vol 1 No 1 (2017): Generation Journal More Issue