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Samsudin, Samsudin

Universitas Islam Negeri Sumatera Utara

Author-ID : 3730829

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Aplikasi Pendataan Tes Urin di BNN Provinsi Sumatera Utara Dian Pratiwi; Samsudin Samsudin2
Jurnal Impresi Indonesia Vol. 1 No. 4 (2022): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v1i4.59

Pendahuluan: Pada era globalisasi mengalami perkembangan teknologi dan informasi yang sangat pesat. Sudah tidak asing lagi bagi kita informasi yang dulu manual kini hampir semua berbasis online. Tujuan: Saat ini telah banyak tercipta aplikasi maupun website yang dapat digunakan untuk mempercepat penyelesaian pekerjaan serta mempermudah pencarian data yang dibutuhkan. PHP (Hypertext Preprocecor) adalah bahasa Skrip yang dapat di tanamkan atau disisipkan kedalam HTML. PHP sangat banyak sekali digunakan untuk aplikasi web. Metode: Dalam penelitian ini menggunakan metode penelitian kuantitatif, dimana penelitian yang berkaitan dengan angka-angka yang dianalisis Hasil: Di Kantor BNN jalan William iskandar terdapat salah satu proses pendataan tes urine yang masih manual sehingga sangat tidak efektif. Jika buku pendaftaran yang masih manual bisa di ubah menjadi sebuah aplikasi pendataaan tes urin, sangat memudahkan proses pendaftaran peserta tes urin, aplikasi ini berfungsi untuk mempermudah pendaftaran para peserta tes urine, sehingga data yang diberikan akan lebih akurat. sehingga dalam pencarian data peserta akan lebih mudah. Kesimpulan: Pada era globalisasi mengalami perkembangan teknologi dan informasi yang sangat pesat. Sudah tidak asing lagi bagi kita informasi yang dulu manual kini hampir semua berbasis online. Saat ini telah banyak tercipta aplikasi maupun website yang dapat digunakan untuk mempercepat penyelesaian pekerjaan serta mempermudah pencarian data yang dibutuhkan.

Implementasi Framework Laravel dalam Sistem Reservasi pada Restoran Cindelaras Kota Medan Geubrina Rizka Utami Sinaga; Samsudin Samsudin
Jurnal Janitra Informatika dan Sistem Informasi Vol. 1 No. 2 (2021): Oktober - Jurnal Janitra Informatika dan Sistem Informasi
Publisher : Indonesian Scientific Journal

Restoran merupakan salah satu jenis usaha pangan dilengkapi dengan penyajian dan penjualan makanan dan minuman. Reservasi merupakan aktifitas memesan tempat atau barang, reservasi dan restoran sering dikaitkan karena pemesanan tempat dan menu mempermudah pelanggan restoran sehingga pilihan reservasi menjadi pilihan yang tepat untuk pelanggan yang ingin memesan terlebih dahulu dan akan datang setelahnya. Restoran Ayam Penyet Cindelaras merupakan salah satu restoran yang populer bagi masyarakat jika ingin melakukan reservasi, masyarakat atau pelanggan yang melakukan reservasi pada restoran cindelaras masih menggunakan cara manual, yaitu dengan mendatangi restoran. Hal ini masih belum efektif dan efisien mengingat tidak semua pelanggan yang melakukan reservasi dapat meluangkan waktu untuk sekedar datang melakukan reservasi. Oleh sebab itu, diperlukan sebuah sistem informasi pemesanan yang mampu mewujudkan reservasi yang efektif dan efisien, penerapan sistem ini menggunakan pengembangan Waterfall dan menggunakan tools UML dibangun dengan bahasa pemograman PHP serta MySQL sebagai database server dan Laravel sebagai frameworknya. Sistem Informasi Layanan Pemesanan ini menyajikan cara reservasi tempat dan menu yang ada pada restoran dan cara pembayaran melalui money transfer / m-banking.

Implementasi Gain Ratio Pada Metode KNN Dalam Memprediksi Penjualan Sparepart Elektronik Pada Service Center Panasonic Lhokseumawe Samsul Bahri Siagian; Samsudin Samsudin; Muhammad Dedi Irawan
Jurnal Teknik Informatika C.I.T Medicom Vol 14 No 1 (2022): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol14.2022.242.pp36-47

K-Nearest Neighbor is a good classification technique, but judging by previous studies, the accuracy of the KNN performance obtained is still inferior to other methods. in the classification process, if some characteristics are not good it can cause errors in the new classifier. As for this study, the researcher uses the gain ratio method as a parameter to see the correlation between each attribute in the dataset, and the gain ratio serves as a weighting for each attribute so as to produce a dataset. the correct way of classifying data using the KNN method, this study is very suitable for predicting sales of spare parts at the Panasonic Service Center company, where the company experienced a decline in sales, this research is very useful for predicting sales for the following month. The results of this study produce very precise predictions of distance with an accuracy value of 13%, where the comparison of the highest accuracy value is found in the total attribute with an accuracy distance of 13%, while the lowest accuracy difference is obtained in the month and type of sales dataset with 0.08%. the overall accuracy of all datasets increases by 100% with K=3, and K=5 gets 80% accuracy. so this method can be used to make sales predictions to make it easier for the company.

Algoritma K-Nearest Neighbors dan Synthetic Minority Oversampling Technique dalam Prediksi Pemesanan Tiket Pesawat Wulan Suci; Samsudin Samsudin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4374

This study applies the Synthetic Minority Oversampling Technique to improve the performance of the K-Nearest Neighbors method in predicting the unbalanced data class. Most classification algorithms implicitly assume that the processed data has a balanced distribution, so that the standard classifier is more inclined towards data with a dominant class number (majority class). The use of Synthetic Minority Oversampling Technique can improve the performance of the K-Nearest Neighbors method for flight ticket booking data. Although in terms of accuracy, Synthetic Minority Oversampling Technique with K-Nearest Neighbors is lower at 79.65% compared to K-Nearest Neighbors without using Synthetic Minority Oversampling Technique, which is 97.81%, the suggested technique did not improve but from other performance, The proposed method can outperform K-Nearest Neighbors by using Synthetic Minority Oversampling Technique in terms of precision, recall, and F1-Score when applied to the Airline Ticket Booking dataset. Precision increased 18.00% from 62.00% to 80.00%, recall increased 28.00% from 52.00% to 80.00%, and F1-Score increased 27.00% from 53.00% to 80 ,00% on the flight ticket booking dataset.

Penerapan Data Mining Dalam Menentukan Penerima Beasiswa UPZ (Unit Pengumpulan Zakat) Menggunakan Algoritma K-Means Sri Astuti; Samsudin samsudin; Triase triase
Jurnal Sistem Informasi Vol 13, No 2 (2021)
Publisher : Universitas Sriwijaya

Data Mining is a technology used in data processing. This data mining technique is able to dig up information from old data or piles of data into useful information such as student data at a university. Student Data in Higher Education has a student data mine which, if processed using data mining techniques, will produce new and useful information such as information on the eligibility of a student in getting a scholarship. One of them is the zakat collection unit scholarship at universities in North Sumatra. The difficulty faced by the zakat collection unit scholarship selection committee is determining the eligibility for the zakat collection unit scholarship recipients because the selection process is still manual, so the selection process takes a long time. Based on the existing problems, a data mining system was made using the k-means algorithm that was able to classify students who deserved a web-based zakat collection unit scholarship using the PHP programming language. The purpose of this system is to make it easier and faster for the UPZ selection committee to determine the eligibility of zakat collection unit scholarship recipients

Implementasi Algoritma Rabin Karp Pada Aplikasi Muroja’ah Hafalan Al-Qur’an Menggunakan Google Speech API Berbasis Android Muhammad Khoir Al Alim Manurung; Samsudin Samsudin; Ali Ikhwan
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 8 No 2 (2022): Journal CERITA : Creative Education of Research in Information Technology and Art
Publisher : UNIVERSITAS RAHARJA

The muroja'ah application in Al-Qur'an memorizing is an android-based application that is used to help memorizers of the Al-Qur’an in doing muroja'ah memorization. The application is built using Speech Recognition in Artificial Intelligence (AI) technology by implementing the Google Speech API and the Rabin Karp Algorithm to convert the user's speech into a string which is then compared with the correct verse string. As for data collection methods, the author uses qualitative research methods, by conducting observations, interviews, and literature research. The application that was built successfully implemented the Google Speech API feature along with the Rabin Karp Algorithm with the output displaying information about the correct status or not along with the percentage accuracy of the similarity between the correct verse data and the voice spoken by the user.

Web Service-Based Food and Beverage Ordering Application with Android Platform. Case Study: Rumah Makan Muslim Hajjah Zuleka Fadiah Nurhani; Samsudin Samsudin
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6193

This research is intended to overcome the problems that exist in restaurants which require technology to solve these problems. The process of ordering food, recording and calculating incoming orders, as well as monthly transaction reports are still manual, this causes sluggishness in recording and serving food to customers, thereby losing some customers who are reluctant to wait, especially when the restaurant is busy. To improve service to customers, as well as make it easier for restaurants to manage transactions and reports, a platform was built that can help improve business, monitor data and restaurant management. This will bring customers, kitchens, cashiers, and managers together on a digital platform where customers can order food at the dining table. The kitchen can get orders right away and process them. Managers or cashiers can have all the data in one place to monitor and manage to be organized. Modeling the system using UML and the system will run on the apache server and in this system the web server and REST API are built using php, MySQL is used for database management. The android application for food and beverage ordering activities will be built with android studio using the Java programming language that communicates with the system server using the REST API. MySQL is used for database management. The android application for food and beverage ordering activities will be built with android studio using the Java programming language that communicates with the system server using the REST API. MySQL is used for database management. The android application for food and beverage ordering activities will be built with android studio using the Java programming language that communicates with the system server using the REST API.

MULTI-PLATFORM BASED FINANCIAL STATEMENT REPORT REPOSITORY SYSTEM AT UPT.PTPH NORTH SUMATRA Muhammad Rizky Dermawan; Samsudin Samsudin
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 9, No 1 (2022): Desember 2022
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v9i1.1853

Abstract: The role of information technology and information systems are two parts that cannot be separated. Both of them developed on the response of human urgency, which then has quite crucial influence and implications in this era. The development of both is fast and varied, following the aspect of increasing human need for information quickly and accurately. One example of its development in this millennial era is the development of data processing tools in the form of a repository system. The repository is a storage-based service that offers digital materials in various formats managed by certain parties to its users. UPT.PTPH North Sumatra Province is a government agency engaged in the plant and horticulture sector that does not yet have a computerized information system. To obtain related information, workers or staff must manually search for the desired data. The prototyping model used in the design proved to be adaptive in dealing with change. The results of the study reveal that a multi-platform-based financial statement repository system in the form of websites and Android applications can speed up the report processing process, provide valid financial data and a more transparent and structured data management process. Keywords: data management; information system; information technology; prototyping model; repository. Abstrak: Peran teknologi informasi dan sistem informasi merupakan dua bagian yang tidak dapat dipisahkan. Keduanya berkembang atas respon urgensi manusia, yang kemudian memiliki pengaruh dan implikasi yang cukup krusial pada zaman ini. Perkembangan keduanya yang cepat dan variatif, mengikuti dari aspek peningkatan kebutuhan manusia terhadap informasi secara cepat dan akurat. Salah satu contoh dari perkembangannya pada zaman millenial ini adalah berkembangnya alat bantu pengolahan data berupa sistem repository. Repository adalah sebuah fasilitas storage-based service yang menawarkan bahan digital dalam berbagai format yang dikelola oleh pihak tertentu kepada kalangan penggunanya. UPT.PTPH Provinsi Sumatera Utara adalah instansi pemerintah yang bergerak di sektor tanaman dan hortikultura yang belum memiliki sistem informasi terkomputerisasi. Untuk mendapatkan informasi terkait, para pekerja ataupun staff harus secara manual mencari data yang diinginkan. Prototyping model yang digunakan dalam perancangan terbukti adaptif dalam menangani perubahan. Hasil penelitian mengungkap bahwa sistem repository financial statement berbasis multi platform berupa website dan aplikasi andoid dapat mempercepat proses pengerjaan laporan, memberikan data keuangan yang valid serta proses pengelolaan data yang lebih transparan dan terstruktur. Kata Kunci: model prototyping; pengelolaan data; repository; sistem informasi; teknologi informasi.

Smart School Berbasis Web Interaktif di SD Swasta Amaliyah Sunggal dengan Algoritma K-Means Cluster Muhammad Syafri Fauzi; Samsudin Samsudin
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 3 (2022): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i3.1479

Pendidikan merupakan suatu hal yang sangat penting dalam sebuah pembangunan nasional, pada umumnya pendidikan adalah pembelajaran pengetahuan, keterampilan, dan kebiasaan sekelompok orang yang diturunkan dari satu generasi ke generasi berikutnya melalui pengajaran, pelatihan, atau penelitian. Namun kebanyakan praktek dalam dunia pendidikan masih menggunakan metode kovensional baik itu dalam hubungan kemasyarakat, penulisan raport, dan penentuan kenaikan kelas siswa. Penentuan kenaikan siswa merupakan salah satu hal yang akan memiliki dampak besar bagi kemampuan siswa, lingkungan belajar, dan poroses belajar mengajar. Tujuan dari penelitian ini yaitu memanfaatkan Aplikasi Smart School yang dimana fungsi utamanya adalah mempermudah proses kerja di lembaga sekolah. Penelitian ini menggunakan metode pengembangan RD, yang terdiri dari 5 langkah yaitu requirements, analysis, design, development, testing, dan maintenance. Serta menggunakan algoritma K-Means seagai system penentuan, dan pembagian kelas bagi siswa yang naik kelas Aplikasi Smart School ini dibuat berbasis web agar ringan, dan mudah digunakan. Sedangkan Algoritma K-Means akan mengolah nilai siswa sebanyak 311 orang, dengan membuat 3 cluster untuk setiap kelasnya yakni A,B, dan C. Dan atribut yang dipakai untuk melakukan perhitungan K-Means adalah 8 matapelajaran, dan 7 jenis kepribadian yang dimiliki oleh setiap siswa.

Implementasi Algoritma Backpropagation Neural Networks Untuk Memprediksi Hasil Kinerja Dosen Samsudin Samsudin; Ali Ikhwan; Raissa Amanda Putri; Mohammad Badri
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2685

In improving the quality of education in tertiary institutions, one of the efforts made to make it happen is to place qualified and professional educators or lecturers at these universities. A lecturer must have the ability to carry out the tridharma of higher education. A lecturer must also be able to follow the development of science and always be able to develop himself and have good teaching skills according to his field of knowledge, from planning, implementation to evaluation of learning. To predict the performance of lecturers using the Backpropagation Neural Networks algorithm. The design of the application to predict the performance of lecturers with the Backpropagation Neural Networks algorithm is done by determining the number of units for each layer. After the network is formed, training is carried out from the patterned data. Tests were carried out using Matlab software with several forms of network architecture. The architecture with the best configuration consists of 24 input layers, 20 hidden layers and 5 output layers. The results obtained from the test are predictions of lecturer performance which consist of Very Poor, Less, Enough, Good, Very Good. This assessment serves to evaluate the performance of lecturers in each semester at higher education institutions. with a test accuracy of 95%.

Co-Authors Abdullah Abdullah Adinda Ayu Mega Pramesti Adinda Priyamita Adinda, Sity Tree Adnan Buyung Nasution Adnan Buyung Nasution Adri, Adri Wahyu Maulana Afridayani Afridayani Afsha Zahara Ahmad Hariandy Harahap Ahmad Syarif Akbar Akbar Akbar Alhafiz Alhamidi Syarif Alda Penira Aldiansyah Ilham Ali Ikhwan Ali Ikhwan Ali Topan Lubis Almansah, Dani Alyan Fatwa Alyuda, M Farhan AMALIA, NOVITA Amanda, Widia Putri Anazra, Davania Andika, Reza Anggika Wardani Anggreini Anggreini Aninda Muliani Aninda Muliani anju sitompul Ariyanto, Arya Aryati Aryati Asbullah, Jumjumi Asma Alya Najiha Asmuni Atsil, Rayhan Alpatih Auji Hamizan Aulia Alsaf Salsabilla Aulia Fitriani Munthe Aulia Pratama Tambunan Ayu Febrianti Adha Ayulia Indah Utami Azrial Pratama Bagus Setiawan Batubara, Ayu Azzahra Beni Frandian Bilbi Huzaimi Mahmuda Danang Wahyu Wicaksono Dandi Fratama Wardana Dedyka Syahputra Dian El Arafiah Saragih Dian Pratiwi Diana, Dwi Rahmadani Ivan Dini Amanda, Bazlina Disnu Panggabean Dwi Nenda Putri Dwi Saphira Dwi Silviana Elfany Rizqi Syaputri Fadiah Nurhani Fadiah Nurhani Fahira Khalisyah Risqullah Faiz Wahyu Perdana Rangkuti Fajrillah, Fajrillah Fara Diva, Anggrayani Fathiya Hasyifah Sibarani FATHIYA HASYIFAH SIBARANI Fauzia Mahyarani Fitrah Al Mubaroq Geubrina Rizka Utami Sinaga Ginting, Natal Gustantia, Dwi Hafizh, Muhammad Abdurrahman Haloho, Melanthon Pardamean Haniyah, Husna Harahap, Mhd. Nazar Alfian Hasibuan, Inneke Nugroho Hasibuan, Siti Aisyah Husna, Fauziatun Ichsan, Muhammad Ichsan Ikhsan Pratama Ilka Zufria Ismi Hamidah Rasyad Isnaini Harahap Juliati Nasution, Yenni Samri Jumjumi Abullah Jumjumi Asbullah Kairul Abdi Laila Nurzanah Lili Asisura Lutfil, Muhammad Lutfil Amin Siregar M Fakhriza M. Audi Ikhsan M. Fakhriza M. Shabri Abd. Majid Maharani, Annisa Mangunsong, Ikhwanda Buyung Maulana Irsyad, Raihan Maulana, Dimas Krisna Maya Juliana Ritonga Meisarah, Helfina Merliana Putri Hasibuan Mia Nurjannah Miftah Siregar Mohammad Badri Muhamad Alda Muhammad Amsari Lubis Muhammad Arifin Lubis Muhammad Dedi Irawan Muhammad Hendrik Koto Muhammad Hendrik Koto Muhammad Ikhsan Muhammad Khoir Al Alim Manurung Muhammad Rafli Hakim Muhammad Rizky Dermawan Muhammad Syafri Fauzi Muliani Harahap, Aninda Muthmainnah Mutiara Indriani Mutia Dwi Pratika Nasution, Anggi Refachriati Nasution, Muhammad Irwan Padli Nurhadijah Nurhadijah Nurhalizah Nurhalizah Nurhidayah Simbolon Nurini Siregar Nursaadah Nurul Amanda Khairani Lubis Nurul Zafirah Pane, Elly Supiah Pane, Rizky Hidayat Pasaribu, M Arif Rahmat Poppy Hidayah Pradana, Reza Pradana, Surya Ardi Pratiwi, Yulisa Nanda Prawira, Yudhi Prawira PRIA MITRA PURBA Priyamita, Adinda Purba, Rizki Ikhwansyah Purwani, Desy Putra, Muklas Adi Putri Sri Rezeki Rahma Azizah Lubis Rahma Dipa Salsabil Rahma, Firda Aulia Rahmadani, Annisa Rahmadani, M.A. Annisa Rahman, Fazlur Raissa Amanda Putri Rakha, Riyan Hidayat Rama Sandy Permana Ramadhani, Vidya Rani Jumiannisa Sinaga Raudhatul Jannah Raudhatul Jannah Razvan Serban Reni Yunita Reza Pradana Riri Syafitri Lubis Rivaldi, Rifky Rohmad Shobirin Ronny Ramadhan Hasibuan Roza, Yuda Fakhri Sakinah, Mutiara Samsul Bahri Siagian Sandra Fitrie Saripah Aini Pohan Septiana Dewi Andriana, Septiana Dewi Simbolon, Nurhidayah Siregar, Diana Asmarani Siregar, Saparuddin Siswahyudianto sitompul, anju Sri Astuti Sri Astuti Sri Mulyana Suendri Suendri Suendri Suendri, Suendri Suendri, Suendri Sulistio, Rahmat Syahfitri, Amalia Syahranitazli Syahranitazli Syahranitazli Syuhada, Muhammad Randa Tamara Putri Tamaulina Tama Tasya Azra Rizkya Umri Tasya Maulariqa Insani Taufiq Annur Harahap Teguh Kurniawan Triase Triase Triase Triase Triase Triase triase Triase Triase, Triase Tursina Juliani Dalimunthe Tuti Anggraini Uci Maharani Ulfa Fadilah Usman, Usman Winda Junarda Wulan Suci Wulandari Wulandari Wulandari, Novika Yani, Sefty Yanti, Asni Rahma Yasmin, Anisa Yudha Sansena Yudhanata, Ridho Dwi Zahra Azura Zahrina, Nadhilah Zulkarnain Fahmi

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