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All Journal SISFOTENIKA Journal of Community Service Sevaka: Hasil Kegiatan Layanan Masyarakat Outline Journal of Community Development
Evri Ekadiansyah
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Social Sciences

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SISTEM INFORMASI GEOGRAFIS KAWASAN BERPOTENSI MINYAK BUMI DI KABUPATEN LANGKAT Fujiati .; Evri Ekadiansyah; Lili Tanti
SISFOTENIKA Vol 4, No 2 (2014): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.709 KB) | DOI: 10.30700/jst.v4i2.40

Abstract

AbstrakPerkembangan teknologi semakin pesat, dimana masyarakat membutuhkan informasi secara cepat dan tepat khususnya pada sistem informasi geografis. Belum adanya media bagi pekerja pengeboran minyak bumi dalam menemukan suatu lokasi menjadikan pekerja sulit menemukan suatu informasi titik eksplorasi di Kabupaten Langkat. Pekerja membutuhkan informasi tentang letak geografis titik eksplorasi secara digital agar pekerja lebih mudah menemukan lokasi dan informasi tentang sumur minyak bumi. Oleh karena itu, perlunya dibuat suatu aplikasi sistem informasi geografis berbasis web yang menyajikan informasi tentang kawasan minyak bumi dan visualisasi peta sehingga dapat memberikan keterangan yang cukup akurat kepada penggunanya. Dengan adanya aplikasi sistem informasi geografis kawasan berpotensi minyak bumi pekerja dapat dengan mudah menemukan kawasan yang mengandung minyak bumi di Kabupaten Langkat.Kata Kunci: SIG( Sistem informasi Geografis), MySql dan Arcview, eksplorasi
RANCANG BANGUN MODUL PELATIHAN KENDALI SUHU RUANGAN PADA SMK TIK DARUSSALAM Iwan Fitrianto Rahmad; Rahmad Doni; M. Alif Firdiansyah; Evri Ekadiansyah
Journal of Community Service Vol 4 No 1 (2022): JCS, June 2022
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.979 KB) | DOI: 10.56670/jcs.v4i1.70

Abstract

Suhu udara di kota medan terasa panas akhir-akhir ini, suhu panas ini juga akan terasa menyakitkan jika suhu dalam ruangan juga terlalu panas. Sekolah menengah kejuruan dikota medan menginginkan suhu dalam ruangan kelas harus dapat di kendalikan atau dipantau agar siswa dan siswi serta guru dalam kelas terasa nyaman saat melaksanakan proses belajar mengajar. Penggunaan perangkat otomasi berupa sensor, sistem kendali sudah lazim digunakan pada berbagai kegiatan saat ini baik di rumah tangga ataupun industri yang memang diperuntuhkan untuk mengimplemtasi teknologi. Dengan menggunakan mikrokontroler esp8266 dapat mengendalikan perangkat keras seperti kipas menggunakan relay yang sudah dikondisikan dari nilai inputan sensor suhu atau kelembaban. Sensor yang berfungsi sebagai pendeteksi perubahan besaran baik fisik maupun kimiawi. Hasil dari sensor tersebut akan dibandingkan dengan nilai suhu yang sudah dikalibarsi sebelumnya agar didapatkan nilai suhu yang diharapkan. Dengan relay tersebut kipas akan mengalami kondisi hidup dan kondisi mati tergabtung dari selang waktu tunda yang kendalikan dari mikrokontroler. Dengan mengunakan mikrokontroler tersebut batas nilai atas dan nilai bawah suhu dapat di atur sesuai dengan kebutuhan.
Pelatihan Deteksi Risiko Hipertensi Dengan Analisis Data Riwayat Medis Berbasis Random Forest Untuk Tenaga Kesehatan Masyarakat Desi Irfan; Evri Ekadiansyah; Halimah Tusakdiyah Harahap; Novica Jolyarni Dornik; Yusril Iza Mahendra Hasibuan
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 1 No. 4 (2023): November: Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v1i4.527

Abstract

Hypertension is one of the most prevalent non-communicable diseases and a major risk factor for heart disease, stroke, and kidney disorders. The high prevalence of hypertension cases in the community, particularly in the working area of Puskesmas Kota Rantau Prapat, highlights the urgent need for more effective early detection efforts to prevent severe complications in the future. However, the limited capacity of healthcare workers in utilizing data analysis technologies has resulted in hypertension risk detection being dominated by conventional methods, which are often less accurate and inefficient. To address this issue, this community service program was conducted through training on the application of the Random Forest algorithm to analyze patients’ medical history data in order to detect hypertension risks. The training method included an introduction to the fundamentals of machine learning, data pre-processing stages, implementation of the Random Forest algorithm, and interpretation of prediction results. The outcomes of the program demonstrated that healthcare workers were able to understand the use of data analysis technologies to support more accurate early detection of hypertension. Furthermore, the participants gained practical skills in utilizing medical datasets to produce predictions that can serve as a decision-support tool for preventive medical actions.Thus, this training contributed to enhancing the capacity of community healthcare workers in integrating machine learning-based technologies into preventive healthcare services. This program is expected to serve as an initial step toward developing more effective, efficient, and sustainable data-driven health systems.
Penyuluhan Penerapan K-Means Clustering Dalam Pengelompokan Data Keuangan Rumah Sakit Untuk Pengelolaan Anggaran Di RSUD Rantauprapat Intan Nur Fitriyani; Evri Ekadiansyah; Indah Cahyani
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 2 (2024): Mei : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i2.536

Abstract

Financial management in hospitals is a crucial aspect to ensure the sustainability of quality health services. However, the complexity of financial data, which involves various budget components, often creates challenges for hospital management in conducting accurate analysis and budget planning. Therefore, a data-driven approach is required to present financial information in a structured and comprehensible manner. This study examines the application of the K-Means Clustering method to classify hospital financial data based on expenditure characteristics and patterns, with a case study at RSUD Rantau Prapat as part of a community service program. The financial data were analyzed through pre-processing stages, determination of the optimal number of clusters using the Elbow Method, and the implementation of the K-Means algorithm to generate more representative budget groups. The results indicate that clustering hospital financial data into three main categories—routine operational costs, medical service costs, and administrative/personnel costs—provides clearer insights into budget distribution. This supports hospital management in identifying budget allocation priorities, detecting potential inefficiencies, and improving the overall efficiency of financial governance. The limitation of this study lies in the data scope, which only involved a single hospital, thus restricting its generalizability. Future research is recommended to expand the scope to multiple hospitals and integrate alternative clustering methods to obtain more comprehensive results.
Implementation of Simple Clean Water Filtration Technology for Communities Along the Deli River in Medan Evri Ekadiansyah; Muhammad Aldo; Muhammad Ranu Al Habib; Abdul Fatah Hassanudin
Outline Journal of Community Development Vol. 3 No. 1: July 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/wfc7b879

Abstract

The availability of clean water is a basic need that is vital for public health and well-being. However, communities living along the Deli Riverbanks in Medan face serious air quality issues due to household and industrial waste pollution. This Community Service (PKM) activity aims to implement a simple clean water filtration technology that can be built with local materials, is easy to operate, and is affordable for lowland communities. The methods used include an initial air quality survey, training in building the filtration system, installation of units in residents' homes, and technical and social evaluations. The filtration system uses layered media consisting of palm fiber, gravel, fine sand, and activated charcoal in a plastic drum container. Laboratory tests showed that this system effectively reduced air turbidity from 78 NTU to 4 NTU and eliminated Escherichia coli contamination to 0 MPN/100 ml, approaching the national clean water quality standard. In addition to the technical aspects, this activity also had an impact on increasing community awareness of the importance of clean water and healthy lifestyles. The community satisfaction level with the quality of the filtered water reached over 90%, and the majority expressed a desire to replicate the system independently. This activity demonstrates that locally based appropriate technology can be an effective solution in addressing clean water problems in poor urban areas, as well as strengthening community capacity and independence in managing water resources sustainably.
Co-Authors Abdul Fatah Hassanudin Desi Irfan Halimah Tusakdiyah Harahap INDAH CAHYANI Intan nur Fitriyani Iwan Fitrianto Rahmad Lili Tanti M. Alif Firdiansyah Muhammad Aldo Muhammad Ranu Al Habib Novica Jolyarni Dornik Rahmad Doni Yusril Iza Mahendra Hasibuan