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All Journal Seminar Nasional Informatika (SEMNASIF) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CogITo Smart Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Manajemen Informatika Jayakarta Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Basic and Applied Science J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) BEES: Bulletin of Electrical and Electronics Engineering TECHSI - Jurnal Teknik Informatika JOMLAI: Journal of Machine Learning and Artificial Intelligence Prosiding SeNTIK STI&K Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara (JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer Jurnal Manajemen, Pendidikan dan Ilmu Komputer (JMENDIKKOM)
Sundari Retno Andani
STIKOM Tunas Bangsa, Pematangsiantar
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Model Jaringan Syaraf Tiruan Dalam Memprediksi Produksi Susu Segar Di Indonesia Berdasarkan Propinsi Rika Asma Dewi; Rusmansyah Rusmansyah; Syahrul Ramadan; Sundari Retno Andani; Solikhun Solikhun
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 6, No 1 (2019): Teknovasi April 2019
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v6i1.281

Abstract

The problem of drinking fresh milk in Indonesia looks minimal and rarely from children to adults who drink fresh milk, both milk and milk in canned milk. In an effort to realize the provisions as stipulated in the Minister of Health Regulation No. 75 of 2013 informing one's nutritional needs based on age and sex, the Indonesian Government has increased nutritional needs in Indonesia. This research contributes to the government to be able to predict the Production of Fresh Milk in Indonesia by Province. The data used is data from the National Statistics Agency through the website www.bps.go.id. The data is predictive data of fresh milk from 2010 to 2017. The algorithm used in this study is Artificial Neural Networks with the Backpropogation method. The input variables used were data for 2010 (X1), data for 2011 (X2), data for 2012 (X3), data for 2013 (X4), data for 2014 (X5), data for 2015 (X6) and 2016 data (X7) with 4 training and testing architectural models, namely 7-2-1, 7-4-1, 7-16-1 and 7-32-1. Target data is taken from 2017 data. The resulting output is the best pattern of Artificial Neural Network architecture. The best architectural model is 7-4-1 with EPOCH 1042, MSE 0.0095979 and 100% accuracy rate. From this model, the prediction of Fresh Milk Production is based on provinces in Indonesia.
Penerapan Mikrokontroler Arduino Uno pada Desain Perancangan Sistem Ayunan Bayi Otomatis Agung Pratama; Poningsih; Sundari Retno Andani; Solikhun; Anjar Wanto
Journal of Informatics Management and Information Technology Vol. 1 No. 3 (2021): July 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v1i3.113

Abstract

A baby swing is one of the objects commonly used by mothers to help put their babies to sleep. Starting from mothers who live in big cities to remote villages, they are familiar with baby swings. Usually, babies fall asleep quickly when sleeping in a swing. Another reason is that the baby can sleep longer, so the mother can do other unfinished activities. This research aims to design the design of an automatic baby swing system using the Arduino Uno R3 microcontroller Atmega 328. The assembly process of this tool uses a combination of the Arduino Uno R3 microcontroller with sound sensors, servo motors, led lights, and several supporting components such as jumper cables, boards, and others. Based on the experimental results, this tool can be used as a control system for the baby's swing, so that the swing will automatically move on its own when the baby cries, so that the baby can fall back asleep. So it can be concluded that with this automatic baby swing, it will help ease the work of a mother who wants to do other work.
Pelatihan Web Programming di SMK Dr Cipto Mangunkusumo Perdagangan Poningsih Poningsih; Sundari Retno Andani
Journal of Social Responsibility Projects by Higher Education Forum Vol 2 No 1 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The development of information and technology is currently so fast. Along with these developments, users must be up to date in accordance with the times. Currently there are many web applications that can be used as needed. To balance the development of information technology with the needs of users, it is very necessary for human resources who are able to provide creative ideas and high innovation. SMK Dr. Cipto Trade has national talents who are competent in the field of information technology. Student / I SMK Dr. Cipto Trade, especially the RPL Department, has sufficient capabilities in the field of information technology, including the web. However, the students' abilities still need to be added and sharpened. One way is to provide them with web programming training using HTML and the PHP programming language. The results of this training show a significant increase in ability.
Sistem Pakar Mendeteksi Kerusakan Pada Receiver Parabola dengan Menggunakan Metode Forward Chaining Berbasis Android Sahendra Fahreza; Sundari Retno Andani; Hendry Qurniawan; Agus Perdana Windarto; Irfan Sudahri Damanik
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 3 (2020): KLIK Desember
Publisher : STMIK Budi Darma

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Abstract

The purpose of this research is for the damage contained in the parabolic receiver using the forward chaining method and building an appropriate and accurate expert system application to provide information about the damage that is in the parabolic receiver. Sources of data were obtained by direct interviews with the owner of the workshop, ardi, whose address was Jl. Pabatu VI Village, Kec. Dolok Merawan, Kab. Serdang Bedagai, North Sumatra. The implementation of this application is in the form of an android application. The results state that it can be applied to damage to parabolic receivers using the forward chaining method which is caused by various kinds of problems that damage users of parabolic receivers so that this application can provide information on how to handle and how to prevent it, thus helping parabolic users in symptomatic symptoms and types of systems-types of damage. the symptoms experienced by users who receive a satellite dish
Klasifikasi Algoritma C4.5 Dalam Penerapan Tingkat Kepuasan Siswa Terhadap Media Pembelajaran Online Kiki Aidi Saputra; Jaya Tata Hardinata; Muhammad Ridwan Lubis; Sundari Retno Andani; Ilham Syahputra Saragih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 3 (2020): KLIK Desember
Publisher : STMIK Budi Darma

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Abstract

This study aims to determine the effect of the level of student satisfaction on online learning media This study aims to determine the effect of the level of student satisfaction on online learning media in SMA YPI Swata Dharma Budi. Internet media has an important role to learn for students. This research population applies the C4.5 Algorithm in applying the level of student satisfaction to online learning media. This type of research is the classification with the concept of data mining involving as many as 100 student data in SMA YPI Swasta Dharma Budi which is categorized by: Satisfied and Dissatisfied. In collecting data using a questionnaire and the variables used in this study there were four namely interest in learning, ways of learning, learning, learning media. The method used in this study is the classification method. After manual calculation, verification is carried out using the RapidMiner application. Tests conducted with the Rapidminer software using the apply model and% performance obtained value of 86.67% accuracy.
Sistem Pendukung Keputusan Menentukan Kenaikan Jabatan Pegawai Kantor Kejaksaan Negeri Pematangsiantar Menggunakan Metode PROMETHEE Muhammad Ifnu Suhada; Irfan Sudahri Damanik; Ilham Syahputra Saragih; Sundari Retno Andani; Hasudungan Siahaan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 5 (2021): April 2021
Publisher : STMIK Budi Darma

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Abstract

Pematangsiantar District Attorney's Office is a government agency that is engaged in the management of law and human rights. Employees are very important resources to determine the success of a work unit. Efforts to improve the quality of performance of a civil servant is a promotion. Position is a position that indicates the level of a person of the State Civil Apparatus. Promotion is an award given for work performance and service of the State Civil Apparatus. Decision Support System (SPK) which can help make it easier to determine an employee can be said to be eligible for promotion. In this study the decision-making calculation method used is Promethee with 5 criteria namely rank, Education, Discipline, Position History, Test Results. The system was built using the PHP programming language. The test results using the Questionnaire Testing show that the system can function according to the needs of users and the system is declared to have fulfilled the criteria for structural promotion of Employees at Pematangsiantar District Attorney's Office.
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PENERIMA BEASISWA DENGAN FUZZY SUGENO Sundari Retno Andani
TECHSI - Jurnal Teknik Informatika Vol 10, No 1 (2018)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v10i1.580

Abstract

AMIK Tunas Bangsa memberikan beasiswa kepada mahasiswa yang kurang mampu dan berprestasi, yang berasal dari pemerintah. Beasiswa yang diberikan adalah beasiswa Peningkatan Prestasi Akademik (PPA) dan beasiswa Bantuan Belajar Mahasiswa (BBM). Untuk mendapatkan beasiswa tersebut, ada beberapa kriteria yang telah ditetapkan, yaitu : indeks prestasi akademik (IPK), penghasilan orang tua dan jumlah tanggungan orang tua. Sistem pendukung keputusan (SPK) sangat diperlukan agar dapat membantu memberikan rekomendasi penerima beasiswa secara objektif berdasarkan kriteria-kriteria yang telah ditetapkan. Sehingga dapat meningkatkan kualitas keputusan dan  mempersingkat waktu penyeleksian. Metode yang digunakan adalah fuzzy sugeno dengan hasil akhir sistem pendukung keputusan yang dapat merekomendasikan atau tidak merekomendasikan mahasiswa untuk menerima beasiswa.
PEMANFAATAN ALGORITMA CLUSHTERING DALAM MENGELOMPOKKAN JUMLAH DESA/KELURAHAN YANG MEMILIKI SARANA KESEHATAN MENURUT PROVINSI DENGAN K-MEANS Mhd Gading Sadewo; Agus Perdana Windarto; Sundari Retno Andani; Handrizal Handrizal
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v1i1.483

Abstract

Kesehatan merupakan hal yang sangat penting bagi semua manusia karena tanpa kesehatan yang baik, maka setiap manusia akan sulit dalam melaksanakan aktivitasnya sehari-hari. Kesehatan adalah keadaan sehat, baik secara fisik, mental, spritual maupun sosial yang memungkinkan setiap orang untuk hidup produktif secara sosial dan ekonomis. Penelitian ini membahas tentang Pemanfaatan Algoritma Clushtering Dalam Mengelompokkan Jumlah Desa/Kelurahan Yang Memiliki Sarana Kesehatan Menurut Provinsi Dengan K-Means. Sumber data penelitian ini dikumpulkan berdasarkan dokumen-dokumen keterangan Jumlah Desa/Kelurahan Yang Memiliki Sarana Kesehatan yang dihasilkan oleh Badan Pusat Statistik Nasional. Data yang digunakan dalam penelitian ini adalah data dari tahun 2008-2014 yang terdiri dari 34 provinsi. Variable yang digunakan (6) jumlah populasi dari tahun 2008-2014. Data akan diolah dengan melakukan clushtering dalam 3 clushter yaitu clusther tingkat sarana kesehatan  tinggi, clusther tingkat sarana kesehatan  sedang dan rendah. Centroid data untuk cluster tingkat populasi tinggi 245, 624, 1434, 1038, 2264, 1223, Centroid data untuk cluster tingkat populasisedang 53, 89, 203, 271, 691, 212, dan Centroid data untuk cluster tingkat populasi rendah 7, 1, 9, 50, 0, 23. Sehingga diperoleh  penilaian berdasarkan indeks Desa/Kelurahan Yang Memiliki Sarana Kesehatan dengan 4 provinsi tingkat sarana kesehatan tinggi yaitu Sumatera Utara, Jawa Barat, Jawa Tengah, Jawa Timur, 14 provinsi tingkat sarana kesehatan sedang, dan 16 provinsi lainnya termasuk tingkat sarana kesehatan rendah. Hal ini dapat menjadi masukan kepada pemerintah, provinsi yang menjadi perhatian lebih pada Desa/Kelurahan Yang Memiliki Sarana Kesehatan berdasarkan cluster yang telah dilakukan.
Analysis of Information Security in Data Leaks in The PeduliLindungi Application Sundari Retno Andani
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 3 (2021): November 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i3.3406

Abstract

In the midst of the COVID-19 pandemic, the Indonesian government is trying to control the spread of COVID-19 in various ways, one of which is through the use of technology. The Indonesian government has built and developed a surveillance application called PeduliLindungi to help the government with tracing and tracking to stop the spread of COVID-19. This application requires personal data and utilizes the bluetooth network in location tracking for tracing contact history with COVID-19 sufferers. The search results will make it easier for the government to identify people who are exposed and need further treatment to stop the spread of COVID-19. But besides that, there are many public concerns about the leakage of personal data from the PeduliLindung application. This research focuses on the leakage of personal data and misuse of personal data from the PeduliLindung application from an information security perspective. This study is a study that aims to analyze data security in the PeduliLindung application
Penerapan Metode SMART dalam Pengambilan Keputusan Penerima Beasiswa Yayasan AMIK Tunas Bangsa Sundari Retno Andani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 7, No 3 (2019)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.876 KB) | DOI: 10.26418/justin.v7i3.30112

Abstract

Beasiswa yayasan merupakan beasiswa yang pendanaannya berasal dari yayasan yang diperuntukkan bagi mahasiswa berprestasi dan kurang mampu dari segi ekonomi, yang bertujuan agar tidak terjadi putus kuliah bagi mahasiswa. Pada saat ini, AMIK Tunas Bangsa belum memiliki sistem pendukung keputusan dalam menentukan penerima beasiswa yayasan sehingga kemungkinan terjadinya kesalahan dalam merekomendasikan calon menerima beasiswa dan sangat rentan dalam praktik nepotisme. Oleh karena itu, penulis melakukan penelitian dalam menentukan penerima beasiswa yayasan. Metode penelitian yang diterapkan dalam menentukan penerima beasiswa yayasan AMIK Tunas Bangsa adalah metode SMART (Simple Multi Attribute rating Technique), karena metode ini mampu menyelesaikan masalah pengambilan keputusan multikriteria berdasarkan teori bahwa setiap alternatif terdiri dari sejumlah kriteria yang memiliki nilai-nilai dan setiap kriteria memiliki bobot yang menggambarkan seberapa penting kriteria tersebut dengan kriteria lain. Kriteria yang digunakan dalam menentukan penerima beasiswa yayasan pada penelitian ini adalah IPK, penghasilan orang tua dan jumlah tanggungan. Hasil dari penelitian ini adalah rekomendasi penerima beasiswa. Dengan menggunakan metode SMART, maka rekomendasi yang dihasilkan lebih akurat.
Co-Authors Abdul Karim Abdullah Ahmad Achmad Noerkhaerin Putra Agung Pratama Agus Perdana Windarto Akhfa Sinaga, Fatika Fajar alfin, alfin Amelia, Alin Aminuyati Anas Santriaji Anbia Nuansyah Andhini, Avrillia Angga Riadi Angga Wisesa Antika, Anggi Aprilia Syahputri Ardilla, Ririn Aritonang, Romulo P. Arjun Darma Hutasuhut Aulya, Agil Bellarmino Wira Permana Chikita Indah Felisa Damayanti, Elok Dedi Suhendro Dedy Hartama Delima Syah Putri Sinaga Destian, Rizieq Dewi Fortuna Efendi Dewi, Rafiqa Diki Irmansyah Dinata, Agin Dipa Fahrezy Situmorang Dyla Tri Aulia Fadli Alfaridz Sinuraya Farhan Khadafi Fikri Wicaksono Fitri Amalia Giffari Zakka Waly Gultom, Devi Hady Nurwahid , Teguh Handrizal Handrizal Handrizal Handrizal Harahap, Nesa Pratiwi Harianja, Lexa Hasudungan Siahaan Hendry Qurniawan Iin Parlina Ika Okta Kirana Ika Purnama Sari Ilham Syahputra Saragih Indra Gunawan Irawan Irawan Irawan Irawan Irfan Sudahri Damanik Jalalludin Jalalludin Jalaluddin Jalaluddin Jaya Tata Hardinata Khoriatul Sadrina Zendrato Kiki Aidi Saputra Kiswara, Qodrat Laila Kumalasari MARIA BINTANG Mario Junianto Manurung Mawada, Mawada Mhd Gading Sadewo Muhammad Ifnu Suhada Muhammad Irfan Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Safii Muhammad Soleh Nailah Hafsah Naufal Azmi Ginting Niken Ayunda Nur, Khairun Nisa Arifin Nurhalizah, Shanda Nurhasanah Nurhasni, Dhyna Poning Sih Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih, Poningsih Pray Argalova Sinaga Purba, Jodika Putra Markus Qurniawan, Hendry Rafiqa Dewi Rafiqa Dewi Renaldi Renaldi Rika Asma Dewi Rika Nur Adiha Rizal Efendi Rizki Pratama Romulo P. Aritonang Rusmansyah Rusmansyah S Sumarlin Sadewo, Mhd Gading Safii, M. Sahendra Fahreza Samantha Arta Sinuhaji Sandy Hardiansyah Simanjuntak, Apriando Sinaga, Rahmadani Fitri Sinurat, Michael Sergio Vernandez Siregar, Sandy Putra Siregar, Zulia Almaida Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun, Solikhun Suci Rizki Ramadhani Damanik Suhada Suhada, Suhada Sumarlin, S Syafwan, Chalik Syahrul Ramadan Wanto, Anjar Wibowo, Subastian Widodo Saputra Yumni Syabrina Agustina Lubis Zepri Pratama Ziyan, Yan Zulaini Masruro Nasution Zulia Almaida Siregar