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All Journal Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Jurnal Geuthee Leibniz: Jurnal Matematika INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Jurnal Minfo Polgan (JMP) Bulletin of Data Science El-Mujtama: Jurnal Pengabdian Masyarakat
Syahputra, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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Teknik Klasifikasi C4.5 Dalam Menentukan Faktor Utama Kepuasan Nasabah Terhadap Pelayanan Klaim di PT Asuransi Central Asia Pematangsiantar Syahputra, Muhammad; Windarto, Agus Perdana; Winanjaya, Riki
Bulletin of Data Science Vol 1 No 1 (2021): October 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.58 KB) | DOI: 10.47065/bulletinds.v1i1.906

Abstract

Insurance claims can be made in accordance with important provisions in claim submission, such as claims in accordance with those stated in the policy, the policy is still valid (inforce), the policy is not in the waiting period and the claim is included in the coverage. Data Mining is a computer-aided process to explore and analyze large amounts of data sets and extract information and knowledge. Decision Tree is one of the Data Mining sections, with C4.5 algorithm is one of the classification methods that use decision tree representations where each nodes present attributes, branches represent the values ​​of attributes, leaves represent classes. and can be used to find dominant factors to find a decision, one of which determines the main factors of customer satisfaction with service claims at PT. Insurance Central Asia Pematangsiantar. It is hoped that the results will later be able to contribute greatly to PT. Insurance Central Asia Pematangsiantar in providing the best service to existing customers
Community Perceptions Related To Covid-19 Vaccination Information In Denai Kelurahan, Medan Denai District, Medan City Syahputra, Muhammad; Rasyid, Abdul; Desky, Ahmed Fernanda
International Journal of Cultural and Social Science Vol. 3 No. 2 (2022): June
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/ijcss.v3i2.575

Abstract

Polemics related to the effectiveness of vaccinations are still happening today, this makes the community divided between two groups, namely the group who believes that vaccination can minimize cases of COVID-19 and the group who is afraid of the side effects caused by the vaccine due to the large amount of news circulating. among the public about the side effects of the covid-19 vaccine. The purpose of this study was to determine the perceptions and decisions taken by the people of Denai Village, Medan Denai District, Medan City regarding circulating vaccination information. The theory used in this research is Collective Informative Sampling. The research method used is descriptive qualitative. This study found results that the public considered that vaccination was not a guarantee that a person would not be exposed to the corona virus, this was due to personal factors within them, namely the experiences they saw or felt both from the media and directly. People who are afraid of the side effects of vaccination prefer to use the services of making vaccine certificates without having to be vaccinated. Therefore, only 4 of the 11 interviewees had vaccinated, 5 of them preferred to use the service of making a vaccine certificate without having to be vaccinated, the other 3 were not willing to be vaccinated or to use the service of making the vaccine.
Rancang Bangun Sistem Absensi Otomatis Berbasis RFID Dan ESP32 Di Kampus AMIK Polibisnis Perdagangan Syahputra, Muhammad; Santoso, Ahmad Imam
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.14816

Abstract

Dalam dunia pendidikan, sistem absensi menjadi bagian penting dalam mendukung kedisiplinan serta kelancaran proses administrasi akademik. Namun, metode absensi manual yang masih digunakan di banyak institusi pendidikan, termasuk Kampus AMIK Polibisnis Perdagangan, memiliki banyak keterbatasan, seperti rawan manipulasi data, tidak real-time, dan membutuhkan waktu lama dalam proses rekapitulasi. Penelitian ini bertujuan untuk merancang dan membangun sistem absensi otomatis berbasis RFID dan ESP32 yang terintegrasi dengan GoogleSheets sebagai media penyimpanan data cloud. Metode penelitian yang digunakan adalah Research and Development (R&D), dimulai dari studi literatur, perancangan perangkat keras dan lunak, implementasi sistem, hingga pengujian fungsionalitas alat. Hasil penelitian menunjukkan bahwa sistem mampu membaca UID kartu RFID secara akurat, mengirimkan data ke Google Sheets dalam waktu kurang dari dua detik, serta memberikan umpan balik kepada pengguna melalui buzzer dan tampilan LCD. Pengujian sistem menunjukkan tingkat keberhasilan yang tinggi dalam pembacaan kartu, pengiriman data real-time, serta validasi UID pengguna. Sistem ini terbukti lebih efisien, akurat, dan aman dibandingkan metode manual. Implikasi dari penelitian ini adalah mendorong transformasi digital pada sistem absensi akademik. Kesimpulan menunjukkan bahwa sistem absensi otomatis yang dikembangkan dapat diimplementasikan secara efektif di lingkungan kampus. Penelitian selanjutnya disarankan untuk menambahkan sistem keamanan ganda dan integrasi dengan notifikasi berbasis aplikasi untuk meningkatkan keandalan sistem secara menyeluruh.
Criminal punishment of elderly defendants based on justice aspects Hidayati, Raudhatul; Salsabila, Almas; Syahputra, Muhammad; Fadli, Sutia; Mareta, Anggun
Jurnal Geuthèë: Penelitian Multidisiplin Vol 8, No 2 (2025): Jurnal Geuthèë: Penelitian Multidisiplin
Publisher : Geuthèë Institute, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/jg.v8i2.425

Abstract

The imposition of custodial sentences on elderly offenders contradicts the principles of justice, thus necessitating judicial discretion to ensure fair and humane sentencing. This study adopts a normative juridical approach, examining legal principles, norms, and doctrines as the basis for legal analysis. The findings indicate that imprisonment is inconsistent with the condition of elderly individuals, who are in the final stage of human development and often face deteriorating physical and psychological health. Such sanctions fail to align with the objectives of criminal punishment, which are not only retributive but also preventive. For elderly offenders particularly non recidivists the preventive function becomes less relevant. Accordingly, it is recommended that law enforcement officers, especially investigators, consider restorative justice as an alternative mechanism for dealing with elderly offenders, excluded from immoral and non-criminal crimes that are contrary to the public interest. Judges are also encouraged to impose probationary sentences on elderly offenders when the maximum penalty does not exceed one year and the individual is not a repeat recidivist.
The The Role Of Von Willenbrand Factors As The Early Detection Of Endotel Cell Damage In Youth Ages With Obesity In The USU Medan Campus Environment Syahputra, Muhammad; Suryani, Sry; Rusdiana
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2021): ABDIMAS TALENTA : Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.134 KB) | DOI: 10.32734/abdimastalenta.v6i1.5865

Abstract

Preliminary : Endothelial cells are a single layer that lines the entire vascular system. Endothelial dysfunction can be triggered by several main things, namely physical stress, oxidative stress and irritant substances. Obesity triggers an inflammatory process and metabolic disorders that will lead to increased oxidative stress. Long-term oxidative stress will cause damage to cells and tissues and trigger degenerative diseases. Damage to endothelial cells is expected to be detected by examining Von Willenbrand levels so that it can prevent complications of vascular disorders early. Method: This research is descriptive with cross sectional design. Carried out from March to October 2018 on the USU Campus. The first examination was done to measure body weight and height to determine body mass index, then performed lipid profile and blood sugar levels (KGD) in the sample, then examined von Willenbrand factor levels carried out in the integrated laboratory of USU FK using the method ELISA in both the sample group and the control group. The research subjects were adolescents aged 17-25 years with BMI> 25 kg / m2Data analysis was carried out using the T-Test statistical program, comparing two groups. Result: Of the 40 obese subjects found Von Wilenbrand level values ​​The lowest factor was 1.78 IU / ml and the highest was 35.60 IU / ml. Whereas in 40 non-obese subjects Von Wilenbrand grade values ​​were the lowest factor of 2.01 IU / ml and the highest was 45.10 IU / ml. This difference was not statistically significant (p = 0.661).Conclusion: There was no significant difference between the levels of Von Wilenbrand Factors in obese subjects with non-obese subjectsKey Words: Obesity, endothelial cells, Von Wilenbrand Factors
Pengaruh Infrastruktur Terhadap Pertumbuhan Ekonomi di Kawasan Timur Indonesia (KTI) Periode Tahun 2018-2022 Syahputra, Muhammad; Fauzi, Reza Nur; W.K, Ardhian Rizki; Quathro T, Audi; Sanjiwo, Dharma; Ardian, Rizki; Ferdiansyah, Kelvin; Zarkasyi, Muhammad
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 4 No. 5 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i5.3602

Abstract

This study aims to determine the impact of infrastructure such as roads, sanitation, electricity, education, and information technology on economic growth in Eastern Indonesia. Using quantitative methods and panel data analysis, this study found that these infrastructure factors have a significant influence on economic growth. While road and sanitation infrastructure show a positive and significant effect, electricity has a negative and significant impact. Education infrastructure shows no significant effect, and information technology has a positive but insignificant impact on economic growth. This study suggests recommendations for the government to focus on improving electricity infrastructure and ensuring equal access to education and information technology facilities.
Artificial Neural Network dalam Meramalkan Kasus Covid-19 di Indonesia Menggunakan Metode Backpropagation Pasaribu, Ampudan Riki; Sawaluddin, Sawaluddin; Sitorus, Syahriol; Syahputra, Muhammad
Leibniz: Jurnal Matematika Vol. 4 No. 1 (2024): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v4i1.388

Abstract

Kasus covid-19 sudah menjadi ancaman bagi seluruh dunia termasuk negara Indonesia. Grafik kasus penyebaran covid-19 di Indonesia semakin tidak terkendali sejak awal mula kasus pertama covid-19 di Indonesia. Prediksi kasus konfirmasi harian covid-19 sangat dibutuhkan untuk memutus rantai penyebaran covid-19 dimasa mendatang. Dalam penelitian ini, melalui pendekatan jaringan saraf tiruan menggunakan metode backpropagation dilakukan peramalan kasus konfirmasi harian covid-19 di Indonesia menggunakan data kasus harian sebelumnya dimulai sejak tanggal 02 maret 2020 hingga 18 Februari 2023. Arsitektur dan parameter terbaik dalam proses peramalan ini, diperoleh terdapat 14 neuron pada input layer, 128 neuron pada hidden layer dan 1 neuron pada output layer. Sedangkan nilai-nilai parameter terbaik selama pembelajaran model diperoleh nilai learning rate sebesar 0.001 dan fungsi aktivasi yang digunakan adalah ReLu dalam 1000 epoch pelatihan. Dalam peramalan ini akan diperoleh hasil ramalan dalam periode 14 hari kedepan dengan tingkat keakurasian yang dinilai berdasarkan nilai MAPE terkecil yaitu sebesar 1.16% dan koefisien determinasi sebesar 98%.
Co-Authors Abdul Rasyid Agus Perdana Windarto Ahmed Fernanda Desky Almas Salsabila Ardian, Rizki Fadli, Sutia Fauzi, Reza Nur Ferdiansyah, Kelvin Hidayati, Raudhatul Mareta, Anggun Pasaribu, Ampudan Riki Quathro T, Audi rusdiana Sanjiwo, Dharma Santoso, Ahmad Imam Sawaluddin Sawaluddin, Sawaluddin Suryani, Sry Syahriol Sitorus W.K, Ardhian Rizki Winanjaya, Riki Zarkasyi, Muhammad