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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) REKAYASA Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Global Operations Research Abdi-Dharma Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Sainteks: Jurnal Sain dan Teknik In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Jurnal Komtika (Komputasi dan Informatika)
Graha Prakarsa
Universitas Informatika Dan Bisnis Indonesia
Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Optimation of Social Assistance Recipient Determination Using K-Means Clustering Algorithm and K-Nearest Neighbour Algorithm Prakarsa, Graha; Rahadiyanti, Nira; Nursyanti, Reni; Hadiantini, Ratih
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.952

Abstract

Determining the status of the family as recipients of assistance is very important, so that aid can be distributed accurately. Data mining takes advantage of experience or even mistakes in the past to add quality based on examples as well as the results of the analysis, one of which uses the capabilities of data mining techniques, namely clustering & classification. The purpose of this research is to determine the right beneficiaries. K-Means Clustering and K-Nearest Neighbor are 2 data mining problem solving algorithms used in selecting beneficiaries. Both of these troubleshooting algorithms make good performance. However, to be widely used, it is necessary to research which algorithm has higher accuracy. Based on this, in this study a comparison of the K-Means Clustering and K-Nearest Neighbor algorithms was carried out on the problem of selecting beneficiaries. Comparisons were made using 1760 data. Based on the tests that have been carried out, beneficiaries using k-means clustering got as much as 65.145% while K-Nearest Neighbor as much as 99.6501%. This shows that the K-Nearest Neighbor problem solving algorithm has higher accuracy.
Optimalisasi Edukasi Kebijakan Kesehatan Berbasis Komunitas untuk Pencegahan Hipertensi pada Remaja Sekolah di Kabupaten Majalengka Regan Vaughan; R. Hari Busthomi Arifin; Wicaksono, Ferdyansyah; Graha Prakarsa
Abdi Dharma Vol. 5 No. 2 (2025): Jurnal Abdi Dharma (Jurnal Pengabdian Masyarakat)
Publisher : LP3kM Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/ad.v5i2.3982

Abstract

Hipertensi adalah salah satu kategori penyakit tidak menular (PTM) yang dikenal sebagai “silent killer” karena sering tidak terdeteksi sejak dini dan berisiko menimbulkan komplikasi serius. Berdasarkan data Riskesdas 2018, prevalensi hipertensi nasional mencapai 34,1%, sedangkan estimasi di Kabupaten Majalengka mencapai 45,9%, bahkan kemungkinan lebih tinggi menurut temuan lapangan. Sayangnya, intervensi edukatif untuk remaja, khususnya siswa sekolah kejuruan, masih belum optimal. Artikel ini bertujuan untuk mengevaluasi efektivitas program edukasi kesehatan tentang hipertensi yang dilaksanakan melalui kegiatan pengabdian masyarakat di SMKS Nasional Jatiwangi, Kabupaten Majalengka. Kegiatan dilakukan dengan pendekatan kuasi-eksperimental desain one group pre-test dan post-test. Sebanyak 25 siswa berpartisipasi penuh dalam kegiatan dan menjadi sampel penelitian. Kegiatan mencakup penyampaian materi edukatif secara interaktif, diskusi partisipatif, dan pengukuran pengetahuan menggunakan instrumen pre-post test. Hasil menunjukkan peningkatan skor pengetahuan rata-rata dari 71,6 menjadi 91,6. Uji statistik paired sample t-test menunjukkan hasil kuantitatif secara statistik dengan nilai p < 0,001. Hasil ini mengindikasikan bahwa edukasi kesehatan dengan pendekatan partisipatif mampu meningkatkan pengetahuan dan kesadaran siswa secara signifikan. Selain memberikan kontribusi akademik, kegiatan ini memiliki implikasi strategis terhadap kebijakan pendidikan dan kesehatan, terutama dalam integrasi kurikulum kesehatan sekolah, pembentukan posbindu remaja, dan penguatan kolaborasi multisektor dalam pengendalian PTM di tingkat komunitas.
Re-Layout of Puskesmas X Post-Covid 19 Pandemic Through the ARC, Conventional and Promodel Simulation Methods Bhagya, Tombak Gapura; Yulianti, Dini; Prakarsa, Graha; Gitardiana, Antari Nurayban
Sainteks: Jurnal Sain dan Teknik Vol 5 No 1 (2023): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v5i1.493

Abstract

The Community Health Center (Puskemas) is the foremost and closest place to provide health services to the community. With the BPJS and complete facilities, the Puskesmas is now almost the favorite of the people to get health-related consultation and treatment. So this study tries to make an analysis of puskesmas services and evaluate the layout and queues in the puskesmas using Promodel simulations. The simulation is used because of the fluctuating number of patients who come every day, so that with the simulation the process of estimating patient arrivals can be carried out using statistical distribution estimates. The results of this study indicate the need for a new layout change, where with this new layout the patient's time in the system can be reduced and the need for adding doctors to 2 to 3 people to cut the number of queues that have accumulated waiting to be examined by a doctor. If the point of adding doctors cannot be met, then the puskesmas can provide adequate waiting room facilities for patients who will be examined by a doctor. The ideal number of waiting room seats for patients waiting to be examined by a doctor is 38 seats.
Downstream Analysis of Strategic Investment in Natural Gas Commodities in Increasing the Value of Indonesian Natural Gas Products Bhagya, Tombak Gapura; Wibowo, Jati Arie; Latipah, Siti; Prakarsa, Graha
Sainteks: Jurnal Sain dan Teknik Vol 6 No 1 (2024): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v6i1.649

Abstract

Indonesia as one of the natural gas producing countries needs to carry out product downstreaming. This is done to increase the added value of natural gas products. Natural gas exports must be reduced and converted into exports in the form of derivative products. Methanol, ammonia, urea, ammonium nitrate and soda ash are derivative products from natural gas that need to be developed. These product derivatives are used as a mixture of raw materials in various industrial sectors that are closely related to daily needs, so that the market and prices will not decrease.
Analysis of Acceptance Factors of Job Portal Applications for Job Seekers in Indonesia Using TAM Prakarsa, Graha; Nursyanti, Reni; Baransano, Esar Samuel
Jurnal Komtika (Komputasi dan Informatika) Vol 8 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v8i1.11324

Abstract

This research is based on the problem of the high number of job portal application users which is supported by the large number of job seekers in Indonesia. This research aims to determine the acceptance of job portal applications for job seekers in Indonesia with external factors, information quality and system quality. This research uses quantitative methods with the data analysis technique used is PLS-SEM using smartPLS 3.2.9 software. Data collection was carried out by distributing online questionnaires to job portal application users in Indonesia and involving 610 respondents. Based on the results of the data analysis that has been carried out, it can be seen that information quality and system quality have a positive and significant influence on perceived usefulness and the magnitude of the influence is 58.8%, information quality and system quality have a positive and significant influence on perceived ease of use and magnitude. The influence is 56.4%, perceived usefulness and perceived ease of use have a positive and significant influence on continuance intention to use and the magnitude of the influence is 63.8% and continuance intention to use has a significant positive influence on actual system use. Overall, information quality and system quality play a role in influencing actual system use indirectly.
Co-Authors Agung Andriana Anggraito, Hendry Azhar Affandi Baransano, Esar Samuel Bhagya, Tombak Gapura Deden Pradeka Dini Yulianti Ginanjar, Ari Ramdan Gitardiana, Antari Nurayban Ikhsan Nur, Muhammad Iman Sudirman Kartikasari, Ria Yuliani Komala, Elly Latipah, Siti Marwondo Nasution, Vani Maharani Nursyanti, Reni Permana, Alwi Dahlan Putra, Prayuda Mulyadi R. Hari Busthomi Arifin R. Yadi Rakhman Alamsyah Rahadiyanti, Nira Ramadhiana, Irena Nurul Ratih Hadiantini Reni Nursyanti Reni Nursyanti Safira Noor Andinia Santoso, Ferry Saputra, Renda Sandi Setiana, Elia Siti Nuraini Rahmawati Teofilus Hendrawan, Yesaya Tombak Gapura Bhagya Tombak Gapura Bhagya Vaughan, Regan Venia Restreva Danestiara Wibowo, Jati Arie Wicaksono, Ferdyansyah Yasmadi, Bambang