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All Journal ELKHA : Jurnal Teknik Elektro Techno.Com: Jurnal Teknologi Informasi Jurnal Teknik Elektro Edu Elektrika Journal Sistemasi: Jurnal Sistem Informasi Jurnal Elektronika dan Telekomunikasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Abdimasku : Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Profesi Insinyur Universitas Lampung Jurnal Pengabdian Mandiri Bakti Sekawan : Jurnal Pengabdian Masyarakat Bookchapter Alam Universitas Negeri Semarang Journal of Community Empowerment
Sulistyawan, Vera Noviana
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Prediksi Downlink Throughput Menggunakan Metode Random Forest Regression pada Jaringan 4G LTE Berdasarkan Data Drive Test Adhim, Riyadh Muhammad; Sulistyawan, Vera Noviana; Sukamta, Sri
Jurnal Profesi Insinyur Universitas Lampung Vol. 6 No. 1S1 (2025)
Publisher : Fakultas Teknik Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpi.v6n2.190

Abstract

Meningkatnya kompleksitas jaringan 4G LTE menuntut manajemen Quality of Service (QoS) yang proaktif, di mana kemampuan prediksi downlink throughput menjadi krusial bagi operator untuk menjamin pengalaman pengguna. Penelitian ini bertujuan membangun dan mengoptimalkan model prediksi downlink throughput menggunakan metode Random Forest Regression berdasarkan data primer hasil drive test. Data yang digunakan mencakup parameter kualitas sinyal (Reference Signal Received Power, Reference Signal Received Quality, Signal-to-Interference-plus-Noise Ratio) dan data lokasi sebagai fitur input, yang diolah melalui perbandingan metode pra-pemrosesan, optimisasi hiperparameter, dan analisis rasio pembagian data untuk menemukan konfigurasi model paling akurat. Kinerja model dievaluasi menggunakan metrik Root Mean Square Error (RMSE). Hasil penelitian menunjukkan bahwa Random Forest Regression berhasil membangun model prediksi yang efektif, di mana konfigurasi terbaik dicapai dengan menggunakan seluruh fitur yang tersedia, rasio pembagian data 70:30, dan jumlah trees sebanyak 700. Model optimal ini mampu mencapai tingkat kesalahan (RMSE) sebesar 9201.575 kbps. Lebih lanjut, uji stabilitas melalui 1000 iterasi mengonfirmasi keandalan model, dengan selisih rata-rata antara nilai aktual (32222.05 kbps) dan prediksi (32253.18 kbps) yang sangat kecil, yaitu hanya 31.13 kbps. Temuan ini membuktikan bahwa model yang dikembangkan akurat, stabil, dan dapat diandalkan untuk estimasi throughput jaringan secara konsisten.
Performance of Single-Hop and Multi-Hop Topologies in IoT-Based Wireless Sensor Networks for Environmental Monitoring Sulistyawan, Vera Noviana; Muhsin, Muhsin; Hasanah, Uswatun; Suni, Alfa Faridh; Pamungkas, Damar Purba; Santoso, Rizal Budi; Aditama, Kevin Muhammad Tegar; Fauzi, Muhamad Kurniawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2408

Abstract

This study aims to evaluate the performance of an IoT-based Wireless Sensor Network (WSN) system in monitoring temperature and humidity in a modern poultry house. Testing was conducted across two network topologies — single-hop and multi-hop — to analyze data transmission delay and sensor measurement accuracy. The methodology includes measuring the delay from sensor nodes to the sink node and analyzing sensor accuracy by comparing actual temperature and humidity values with sensor readings. The results indicate that the single-hop topology has lower and more stable transmission delays, ranging from 18 ms to 36 ms. In contrast, the multi-hop topology exhibits higher transmission delays, averaging 47.9 ms, due to additional time spent traversing intermediary nodes. In terms of accuracy, the temperature sensor shows minimal deviation from actual values, demonstrating good reliability. However, the humidity sensor exhibits greater variation, necessitating additional calibration or the use of higher-precision sensors. The evaluation using MAPE, RMSE, MSE, and MAE provides further insights into sensor error levels within the system. The uniqueness of this study lies in the comparative analysis of single-hop and multi-hop network performance in a WSN-IoT-based monitoring system. The study's implications emphasize the importance of optimizing network protocols to reduce latency in multi-hop communication and improving sensor accuracy to enhance the reliability of environmental monitoring.
4G Network Optimization Based on Hybrid Clustering, Physical Tuning, and Genetic Algorithm Arridho, Rajwa Jilan; Sulistyawan, Vera Noviana
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.91704

Abstract

Optimization of resource allocation in fourth-generation cellular networks is critical to meet increasing demands for high data rates and low latency. The novelty of this research lies in the combination of network-spatial clustering with genetic algorithm-based physical tuning, which has not been jointly applied in the prior optimization of cellular networks. The clustering component partitions network zones based on spatial characteristics and traffic density, enabling localized parameter adjustment. The genetic algorithm performs physical tuning by iteratively selecting parameter sets that maximize network performance metrics. Experimental results demonstrate a significant enhancement in average data throughput, with observed increases of over twenty percent, and a reduction in latency by approximately twenty milliseconds compared to conventional tuning methods. These improvements translate into a more consistent user experience and better resource utilization under varying traffic conditions. The proposed approach also shows robustness across diverse urban scenarios, indicating its applicability to real-world deployments. By adapting to dynamic traffic patterns and environmental factors, the proposed solution ensures sustained network quality during peak demand and in challenging propagation environments. Future research will explore integration with machine learning"“based predictive models to further enhance tuning precision and proactive optimization. In conclusion, the hybrid network-spatial clustering and genetic algorithm"“based physical tuning method outperforms traditional optimization techniques by delivering higher performance gains and adaptability, offering a practical framework for enhancing fourth-generation network efficiency and laying the foundation for extending the methodology to emerging wireless standards.
Skill Building for Simple Electrolysis Equipment for Rainwater Treatment in Gemulak, Sayung, Demak, Indonesia Harianingsih, Harianingsih; Handayani, Sri; Kusumaningrum, Maharani; Sulistyawan, Vera Noviana; Erliana, Savira Rinda; Ubay, Isnina Noor; Pangestu, Indra Sakti
Journal of Community Empowerment Vol. 4 No. 1 (2024): Journal of Community Empowerment
Publisher : Universitas Negeri Semarang

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Abstract

Water is essential to human life because it is the main foundation for survival. The service aims to collaborate with Gemulak Sayung Village, Demak Regency, and Jawa Tengah coastal communities to obtain a decent drinking water supply from rainwater treatment using electrolysis science and technology. The stages of service implementation were carried out through observation, training in making simple electrolysis equipment, monitoring, and evaluation. On observation, the problem was obtained: water availability is still minimal for consumption. Implement training in making electrolysis equipment that can be applied in their homes. Monitoring and evaluation are carried out to ensure the sustainability of the service implementation. The service results showed that participants learned about the benefits of rainwater and simple processing technology using electrolysis to produce electrolyzed water in alkaline and acidic water. 95% of participants wanted the service process to be continued because it benefited the Gemulak Village, Sayung, and Demak communities.
The Aquaponic Cultivation of Catfish in Barrels (Budikdamber) on Internet of Things (IoT) and Fish Pellets from Water Hyacinth as a Food Security Strategy for the Tugu Village Community, Sayung District, Demak Harianingsih, Harianingsih; Sulistyawan, Vera Noviana; Widiarti, Nuni; Putra, Muhammad Rizky Fahrizal; Sokmawan, Muhammad Rafi Hanairo
Journal of Community Empowerment Vol. 4 No. 2 (2024): Journal of Community Empowerment
Publisher : Universitas Negeri Semarang

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

Abstract

Tugu Village in Demak Regency frequently experiences disasters such as coastal erosion and inundation due to tidal activities and the reclamation of Marina Beach in Semarang, which borders Sayung District. These conditions negatively impact the local economy, necessitating a solution to enhance food self-sufficiency. One approach taken is the cultivation of catfish in barrels (budikdamber) using an aquaponic system to grow water spinach, supported by the Internet of Things (IoT). The target audience for this community service activity is the women in Tugu Village affected by flooding. The program was implemented in five stages: observation and coordination, socialization, training, technology application, mentoring, and evaluation. Evaluation was conducted using pre-test and post-test instruments. Before the program, participants' understanding of aquaponic budikdamber was only 32.5%, but after the program, it increased sharply to 95%. Participants' understanding of pellet-making also saw a significant increase, from 10% before the program to 90% afterward. This data indicates that the program implementation successfully improved participants' understanding.
Optimizing energy distribution efficiency in wireless sensor networks using the hybrid LEACH-DECAR algorithm Muntashir, Muhammad Abyan Nizar; Sulistyawan, Vera Noviana; Hudallah, Noor
Computer Science and Information Technologies Vol 6, No 3: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i3.p262-273

Abstract

Wireless sensor network (WSN) is a network system consisting of various supporting components that integrate information to the base station. In its operation, delivery is greatly influenced by energy usage because limited battery supply causes variability in energy consumption on node activity factors, communication distance, and environmental conditions. So, in order to increase performance and energy efficiency, a routing protocol is required by selecting the best path through cluster head. The technique of determining the cluster head (CH) based on energy is used to avoid irregularity (randomness). In this study, the hybrid routing protocol selects CH based on the remaining energy, considering distance, coverage radius, and energy metrics. The system test evaluation compares the implementation of low-energy adaptive clustering hierarchy (LEACH) and hybrid LEACH- Distributed, energy and coverage-aware routing (DECAR). The results of 300 rounds show that the hybrid achieves a packet delivery ratio close to 100% and a throughput of 78.22 Kbps, while LEACH achieves a packet delivery ratio of 92.18% and a throughput of 247.15 Kbps. The average energy consumption of LEACH is 99.27%, while the hybrid shows much greater efficiency at 30.55%. This study emphasizes the significance of maintaining equilibrium performance and energy consumption in the development of future routing protocols.
Peningkatan Produksi Budidaya Ikan Bandeng Melalui Implementasi Sistem Monitoring Kualitas Air Berbasis IoT di Desa Kadilangu Rochim, Febry Putra; Sulistyawan, Vera Noviana; Saputro, Bagaskoro; Arlinto, Arlinto; Andriano, Niko; Maghribi, Mohammad Maulana; Kladius, Rafik
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i2.762

Abstract

Desa Kadilangu di Kabupaten Pati, Jawa Tengah, dikenal sebagai salah satu pusat budidaya ikan bandeng. Namun, permasalahan kualitas air akibat limbah industri tapioka menjadi tantangan bagi para petani tambak, yang menyebabkan penurunan hasil panen dan kematian ikan. Kualitas air tambak sangat penting dalam budidaya ikan bandeng, namun pengecekan kualitas air masih dilakukan secara tradisional tanpa bantuan teknologi. Oleh karena itu, pengabdian ini bertujuan untuk meningkatkan produksi ikan bandeng melalui penerapan sistem monitoring kualitas air berbasis Internet of Things (IoT). Sistem ini menggunakan sensor untuk mengukur parameter penting seperti suhu, pH, dan kekeruhan air yang kemudian ditampilkan secara real-time melalui aplikasi web dan smartphone. Metode yang digunakan dalam pengabdian ini meliputi survei lapangan, studi pustaka, pengembangan sistem berbasis IoT, pelatihan kepada petani tambak, serta evaluasi penggunaan sistem. Hasil pengabdian menunjukkan bahwa sistem monitoring kualitas air mampu memberikan informasi yang akurat dan real-time, sehingga petani tambak dapat dengan cepat mengambil tindakan preventif. Hal ini berdampak pada peningkatan produksi ikan bandeng yang meningkat 10% - 12,5% dari hasil panen musim sebelumnya dan efisiensi pengelolaan tambak. Sistem ini menjadi solusi tepat guna dalam membantu petani tambak menjaga kualitas air secara lebih efektif.
Co-Authors Abas, Faizal Ghozali Adhim, Riyadh Muhammad Aditama, Kevin Muhammad Tegar Adnan, Fahrizal Agusthio, Laode Hamdi Ahmad Fashiha Hastawan Alfa Faridh Suni Andriano, Niko Apriyansyah, Andrean Arlinto Arlinto, Arlinto Arridho, Rajwa Jilan Azizah, Nur Rokhimatul Budiman, Febrian Arif Erliana, Savira Rinda Esa Apriaskar Fauzi, Muhamad Kurniawan Handayani, Sri Harianingsih, Harianingsih Imani, Nadya Alfa Cahaya Khoirudin Fathoni, Khoirudin Kladius, Rafik Maghribi, Mohammad Maulana Maharani Kusumaningrum Maharani, Annisa Tetty Muhsin Muhsin Muntashir, Muhammad Abyan Nizar Noor Hudallah Nuni Widiarti Oktavariza, Feri pamungkas, damar purba Pangestu, Indra Sakti Pratama, Ababil Panji Putra, Muhammad Rizky Fahrizal Putri Khoirin Nashiroh Riana Defi Mahadji Putri Rochim, Febry Putra Rojannah, Amelinda Salim, Nur Azis Salim, Nur Aziz Santoso, Rizal Budi Saputro, Bagaskoro Satria, Rifki Lukman Setiyani, Hendra Dewinta Sokmawan, Muhammad Rafi Hanairo Sri Sukamta Syahroni Hidayat Tatyantoro Andrasto Ubay, Isnina Noor Ulfah Mediaty Arief Uswatun Hasanah Wahyudi, Tri Agus Widhira, Sepfianda Eka yogi prasetyo