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All Journal JPK: Jurnal Proteksi Kesehatan Journal of Computer Networks, Architecture and High Performance Computing Brilliance: Research of Artificial Intelligence Archive: Jurnal Pengabdian Kepada Masyarakat International Journal of Multidisciplinary Sciences and Arts Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat
Susanti, Pratiwi
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Antioxidant Activity Assay of Black Turmeric (C. Caesia) Water and Ethanol Extracted Using DPPH Kartini, Sri; Susanti, Pratiwi; Marshanda, Isty Maulia; Pratiwi, Denia; Mardhiyani, Dini; Hendrika, Yan
JURNAL PROTEKSI KESEHATAN Vol 12 No 2 (2023): JPK: Jurnal Proteksi Kesehatan
Publisher : Poltekkes Kemenkes Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36929/jpk.v12i2.790

Abstract

Antioxidants are compounds that provide electrons; they function by donating an electron to oxidizing compounds, thereby inhibiting the activity of these oxidants. The objective of this study is to ascertain the presence of secondary metabolites and evaluate the antioxidant properties of water and methanol extracts obtained from black turmeric (C. caesia). The determination of antioxidant activity was conducted using the DPPH method with a microplate reader at a wavelength of 520 nm, by calculating the IC50 value. The research findings indicate that both water and methanol extracts contain flavonoids, saponins, and tannins. The antioxidant activity of the water extract measured at 392.47 ± 46.38 ppm (weaker), the methanol extract displayed a higher activity at 69.66 ± 2.91 ppm (strong), and Vitamin C exhibited very strong activity at 3.98 ± 0.26 ppm.
Sosialisasi Penyusunan Peta Desa Digital Pada Desa Selotinatah Kecamatan Ngariboyo Kabupaten Magetan Susanti, Pratiwi; Yudha, Yoga Prisma; Yunita, Yessi; Firdaus, Muhammad
Archive: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2025): Juni 2025
Publisher : Asosiasi Pengelola Publikasi Ilmiah Perguruan Tinggi PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/arch.v4i2.183

Abstract

Latar Belakang: Peta desa digital memiliki peran penting dalam mendukung perencanaan pembangunan, pengelolaan wilayah, serta pelayanan publik yang lebih efisien dan berbasis data.  Tujuan: Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas aparatur dan warga Desa Selotinatah dalam penyusunan peta desa digital berbasis Sistem Informasi Geografis (SIG). Metode: Metode yang digunakan dalam kegiatan ini adalah pendekatan partisipatif melalui tahapan sosialisasi, pelatihan teknis, praktik lapangan, dan evaluasi hasil. Hasil: Hasil kegiatan menunjukkan bahwa peserta mengalami peningkatan pemahaman dan keterampilan dalam pengoperasian perangkat lunak pemetaan QGIS. Kesimpulan:  Kegiatan ini membuktikan bahwa pelatihan berbasis teknologi tepat guna yang melibatkan partisipasi aktif masyarakat desa dapat meningkatkan kemandirian dan kapasitas desa dalam pengelolaan informasi spasial.
Protocol Analysis: 2.4 GHz Interference Frequency in the IEEE802.3ab Protocol Juwari, Juwari; Asyhari, Moch Yusuf; Susanti, Pratiwi; Cahyono Putro, Moh Rizal Bagus
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4763

Abstract

Interference at the 2.4 GHz frequency is currently a significant problem in wireless networks. Especially on networks with environmental conditions where there are many active devices at the same time. This study analyzes the impact of interference on Delay and Jitter on IEEE 802.3ab protocol networks. The IEEE 802.3ab protocol is commonly known as the Gigabit Ethernet Protocol which already supports data transmission speeds of up to 1 Gbps. This study conducts various scenarios and simulates when interference occurs using five active access points (APs). The device's access points (APs) are all using the same 2.4 GHz frequency and channel. The data collection method uses the Wireshark application to measure the Delay and Jitter values at different interference levels. The results of simulations and tests with various scenarios show that there is a relationship between increased interference and Delay values. The Delay value is 14.129 ms when using a single AP without Interference. The Delay value increases to 1076,3730 ms in the event of interference with five APs. The jitter value increased from 0,2109 ms without interference. However, if there is interference with the active AP as much as 5 Jitter values to 17,9396 ms. Research shows that the jitter value is according to the TIPHON standard in the "Good" range. Meanwhile, the Delay value decreased significantly until it reached the "Poor" category when five APs were active. This research focuses on the need and importance of effective interference management to maintain network quality in interference-dense environments. This shows that optimizing for channel selection and frequency management is essential to reduce latency and improve transmission stability.
Implementation of Forecasting with the Monte Carlo Simulation Method to Predict Supply and Demand for Psychotropic Drug Products Bima, Alim Citra Aria; Susanti, Pratiwi; Asyhari, Moch Yusuf
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3515

Abstract

The availability of drugs is one of the needs that supports the presence of health in the community. Patient certainty regarding the availability of drugs becomes increasingly important for patients who use psychotropic drugs. This type is a dangerous drug and needs to be controlled. Control is carried out to avoid drug abuse outside of medical purposes. Two conflicting sides between the importance of ensuring the availability and controlling their use can be resolved, one of which is by measuring supply and demand. The availability of psychotropic drugs should be adjusted to demand. The problem is that we cannot know demand that has not yet occurred, drugs have an expiration date, and procuring drugs takes time. One way is to predict the demand when supplying drugs so that the order quantity is appropriate. The prediction method used is the Monte Carlo Simulation Method. One example of implementation is the Economic Order Quantity (EOQ) Method. As a result, the Monte Carlo method successfully made predictions based on existing data. In addition, it was found that the Monte Carlo Method tended to the distribution of the data used. The closer the distance between the data, the higher the prediction accuracy obtained. Uncertainty in actual demand is also a big challenge for producing accurate predictions based on patterns. Prediction results will be more accurate with more data patterns and variations. Implementation of prediction results with EOQ makes the number of drugs that should be ordered based on demand that is likely to occur.
Pelatihan Pembuatan Sistem Kendali Routerboard untuk Distribusi Jaringan bagi Pengguna Kantor Desa Saifulloh, Saifulloh; Susanti, Pratiwi; Aldida, Jovanza Denis; Eka, Muhammad Rendy
Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Vol. 2 No. 2 (2024): Juni 2024 - Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ahsana.v2i2.343

Abstract

Penggunaan jaringan internet sudah menjadi kebutuhan yang krusial saat ini. Jaringan Internet digunakan untuk menunjang pekerjaan dan juga sebagai media pertukaran informasi hampir di setiap bidang kehidupan. Kantor Desa Klandegan, Kecamatan Kebonsari merupakan salah satu pelayanan administrasi pada tingkat pemerintahan desa atau kelurahan. Kebutuhan Internet sudah tersedia di Balai Desa Klandegan, namun metode QoS (Quality of Service) belum diterapkan. Saat ini pusat pengelolaan dan kegiatan pelayanan masyarakat mengandalkan layanan Internet, namun jika kondisi jaringan kurang stabil akan menghambat proses pelayanan, maka untuk itu dibutuhkan sebuah solusi yanki menerapkan metode QoS (Quality of Service) sebagai salah satu manajemen jaringan. Seiring dengan mahalnya harga bandwidth internet oleh penyedia layanan, diperlukan cara pengoptimalan jaringan. Hasil dari pengapilkasian pelatihan pada pengguna kantor desa nantinya menggunakan beberapa peralatan untuk seting manajemen jaringan dan pembuatan sistem kendali. Pengelolaan setelan routerboard dengan menggunakan metode QoS (Quality of Service) dilakukan dengan para pengguna (perangkat desa), tujuan pelatihan tersebut diharapkan menjadikan wawasan dan keterampilan (softskill) untuk peserta yakni perangkat desa Krandegan, Kecamatan Kebonsari, Kabupaten Madiun.
Implementation of Machine Learning Models for Predicting Internet Service Provider Customer Churn Asyhari, Moch Yusuf; Susanti, Pratiwi; Yunitasari, Yessi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.7012

Abstract

The telecommunications industry faces an extremely high level of competition, where the phenomenon of customer churn presents a significant challenge due to its impact on revenue decline and increased costs associated with acquiring new customers. This study aims to develop a churn prediction model using the Decision Tree algorithm and implement it in a web-based application to support customer retention strategies. The CRISP-DM methodology is employed, covering Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. Experimental results show that the Decision Tree algorithm demonstrates strong performance in identifying non-churn customers, with a precision of 0.82, a recall of 0.91, and an F1-score of 0.86. However, its performance on the churn class remains limited, with a precision of 0.63, a recall of 0.44, and an F1-score of 0.52, highlighting the importance of addressing imbalanced data distribution to preserve existing data. The model underwent Learning Curve and Validation Curve analysis. The Learning Curve indicates a relatively stable model with a small gap, suggesting good generalization. The Validation Curve reveals that optimal performance is achieved at a moderate tree depth, avoiding the risk of overfitting at greater depths. Nevertheless, the main advantage of the Decision Tree is its interpretability, which highlights significant factors such as contract type, subscription duration, and additional services. The integration of the model into a web-based application also provides practical benefits through rapid churn risk monitoring, supporting the company’s strategic decision-making.
Co-Authors Aldida, Jovanza Denis Asyhari, Moch Yusuf Bima, Alim Citra Aria Cahyono Putro, Moh Rizal Bagus Daniel Happy Putra Eka, Muhammad Rendy Hendrika, Yan Mardhiyani, Dini Marshanda, Isty Maulia Moch Yusuf Asyhari Muhammad Firdaus Pratiwi, Denia saifulloh Saifulloh, saifulloh Sri Kartini, Sri Yudha, Yoga Prisma Yunita, Yessi Yunitasari, Yessi