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All Journal Jurnal Informatika Jurnal Informasi dan Komputer Wisanggeni : Jurnal Pengabdian Masyarakat
Toto Andri Puspito
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Mathematics Social Sciences Other

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MENENTUKAN PILIHAN SEKOLAH DIDALAM PENERIMAAN PESERTA DIDIK BARU DENGAN MENGGUNAKAN METODE NAÏVE BAYES DAN K-NEAREST NEIGHBOR (Studi Kasus: PPDB Online Jenjang SMP Kota Metro) Toto Andri Puspito
Jurnal Informatika Vol 17, No 1 (2017): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v17i1.976

Abstract

Acceptance of New Learners (PPDB) is an important process to attract new students according to the criteria and characteristics of the school. PPDB needs to be implemented in an objective, transparent, accountable and non-discriminatory because it concerns the public interest, that is education. Following the current technological advances, PPDB has been held online. With the online PPDB is expected to provide solutions to parents of students for the realization of PPDB is transparent, accountable and not discriminatory. By using the online PPDB system PPDB results can be seen by anyone and anywhere. In addition, with the online PPDB will provide convenience in the registration process and the selection process because registration and selection process can be done and viewed anywhere so prospective students or parents will be easier to register.This study aims to provide recommendations to parents in the implementation of PPDB junior high school in order to facilitate parents in determining the choice of schools in accordance with the circumstances of prospective students. In this study, the authors use the Naïve Bayes method and K-Nearest Neighbor which is the method used when determining the selection of schools in the process of acceptance of online PPDB. Naive Bayes will provide the school choice recommendation with the greatest probability of the calculation whereas K-NN sees the closeness of the data to the data of trying and the closest data to be used to provide recommendations to prospective students or parents / guardians. The steps of determining the probability of Bayes is to calculate the probability of a certain domicile, the origin of a particular school, again, the achievement of the data of student tryouts received at each junior high school SMP Negeri 1- SMP Negeri 10 which then the highest probability will be taken as a recommendation. While in K-NN use Euclidean distance equation to calculate distance data to data trying and take data closest to data trying as a recommendation.Keywords: PPDB, K-NN, Naive Bayes
PERANCANGAN SISTEM INFORMASI KEHADIRAN PEGAWAI DAN SKP (SIKAP) PADA INSTITUT AGAMA ISLAM NEGERI (IAIN) METRO Toto Andri Puspito
Jurnal informasi dan komputer Vol 10 No 1 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 04 (
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v10i1.276

Abstract

In early 2020, the world was shocked by the outbreak of a new pneumonia named coronavirus disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of this disease has had a wide social and economic impact. During the spread of the COVID-19 pandemic, many things must be done to avoid the spread of the virus, namely by maintaining cleanliness and doing physical distancing. This also has an impact on the world of education, in this case universities, in carrying out their activities to monitor employee performance, use attendance that uses fingerprint technology. Attendance using fingerprints during a pandemic can endanger employee health because transmission can occur when the fingerprint machine is touched alternately by employees. The development of internet/online technology is a way that can reduce direct interaction between humans by building an employee attendance information system and SKP that can be accessed by employees in campus area locations with campus network connections using their respective Android or IOS devices. Data collection methods used in this study were interviews and documentation. The System Development method used is the Research and Development method with the Waterfall approach which is systematic, sequential in building software. With this system, employee performance can be monitored properly and employees can still maintain their respective health during the pandemic, which requires working by implementing physical distancing.
Peningkatan Kemampuan Stakeholder Desa Jati Mulyo Kecamatan Jati Agung Kabupaten dalam Penyusunan Peraturan Desa tentang Pengelolaan Sampah Syarifudin, Ahmad; Toto Andri Puspito; Diki Hermawan; Sri Furyani; Lisa Safitri; Lyana Allawiyah; Farida
Wisanggeni: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 Desember (2022) Wisanggeni : Jurnal Pengabdian Masyarakat
Publisher : Institut Agama Islam Ma’arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/wisanggeni.v2i2.3046

Abstract

Many people and business actors in waste transportation services throw garbage carelessly which pollutes the environment in Jati Mulyo Village, so a Perdes is needed to regulate the community. The purpose of this service apart from compiling village regulations on waste management is also to equip Jati Mulyo Village stakeholders in preparing village regulations. Using the service learning method this service was carried out for 3 days and has increased the knowledge, understanding of stakeholders and produced a Perdes legal product regarding waste management.
Co-Authors Diki Hermawan Farida Lisa Safitri Lyana Allawiyah Sri Furyani Syarifudin, Ahmad