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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Building of Informatics, Technology and Science Informatika International Journal Of Science, Technology & Management (IJSTM) Journal of Computer Science and Information Systems (JCoInS) IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Masyarakat Gemilang (JPMG)
Nasution, Marnis
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Pemamfaatan Sistem Informasi Penjualan Online Toko Roti Hasanah Bakery Rantauprapat Berbasis Web Harahap, Syaiful Zuhri; Lestari, Putri; Dar, Muhammad Halmi; Nasution, Marnis
JURNAL PKM IKA BINA EN PABOLO Vol 1, No 2: Pengabdian Kepada Masyarakat | Juli 2021
Publisher : IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.895 KB) | DOI: 10.36987/ikabinaenpabolo.v1i2.1374

Abstract

Toko Roti Hasanah merupakan salah satu toko roti yang setiap hari melakukan produksi roti. Berbagai jenis roti yang diproduksi sangat bervariasi dan permintaan konsumen yang paling tinggi jenis roti seperti bolu pisang dan lainnya. Dalam memenuhi permintaan konsumen yang selalu berubah, toko roti ini memproduksi produk dengan jumlah yang berbeda pada setiap hari nya. Hal ini menyebabkan toko roti hasanah tidak menentu dalam menghasilkan jumlah suatu produk (persedian).karena hal itu dibutuhkan sebuah sistem yang akurat untuk prediksi jumlah produksi roti sebagai pertimbangan untuk memproduksi jumlah persedian roti selanjutnya. Sistem informasi ini menerapkan model waterfall dalam pembangunannya, dan dibangun dengan bahasa pemrograman PHP dan menggunakan MySql. Perancangan program yang akan dikerjakan, dengan acuan program yang dibuat menggunakan metode UML (unifed Modeling Language). Sistem informasi penjualan roti dan kue sangat penting dalam mendirikan suatu usaha karena dapat sebagai tolak ukur dalam perkembangan dan pencapaian target dalam berwirausaha. Dengan adanya website penjualan roti di toko hasanah diharapkan dapat mencapai ekspetasi pengelola dalam mempromosikan produknya kepada masyarakat luas.Kata Kunci: Sistem Informasi, website, jumlah produksi roti
Pelatihan Digital Marketing Dalam Pemberdayaan UMKM Desa Lingga Tiga Juledi, Angga Putra; Harahap, Syaiful Zuhri; Nasution, Marnis; Irmayani, Deci
JURNAL PKM IKA BINA EN PABOLO Vol 4, No 1: PENGABDIAN KEPADA MASYARAKAT | JANUARI 2024
Publisher : IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ikabinaenpabolo.v4i1.5466

Abstract

The development of the digital world which is increasingly spreading provides convenience in various fields, one of which is in marketing. By utilizing the development of the digital world in the field of marketing, it is implemented to help UMKM UMKM who need tools to promote their products. Lingga Tiga Village, which is one of the villages in Labuhanbatu Regency, needs more promotion for UMKM activities. Seeing this, Digital Marketing Training was held which aims to empower UMKM in Lingga Tiga so that they can promote their products to the wider world and increase their activities.
Penyuluhan Etika dan Attitude Bermedia Sosial di Usia Remaja Pada Tingkat Sekolah Menengah Atas Harahap, Syaiful Zuhri; Juledi, Angga Putra; Munthe, Ibnu Rasyid; Nasution, Marnis; Irmayani, Deci
JURNAL PKM IKA BINA EN PABOLO Vol 3, No 2: PENGABDIAN KEPADA MASYARAKAT | JULI 2023
Publisher : IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ikabinaenpabolo.v3i2.4721

Abstract

Perkembangan teknologi informasi dan komunikasi yang revolusioner telah membawa dampak besar pada masyarakat, terutama dengan kemunculan media sosial sebagai platform kuat yang membentuk komunikasi dan interaksi sosial. Remaja di usia Sekolah Menengah Atas juga terpengaruh oleh fenomena ini, di mana media sosial menjadi bagian tak terpisahkan dari kehidupan mereka. Melalui media sosial, remaja memiliki kesempatan untuk menyuarakan pendapat, memperluas jaringan sosial, dan membentuk koneksi dengan dunia di sekelilingnya. Namun, media sosial bukan hanya sekadar wadah untuk berkomunikasi dan berkreativitas, tetapi juga menjadi panggung bagi remaja untuk mengadvokasi isu-isu sosial yang mereka pedulikan. Namun, ada potensi risiko serius yang terkait dengan penggunaan media sosial oleh remaja. Salah satu tantangan utamanya adalah penyebaran berita palsu atau hoaks yang dapat dengan mudah menyebar dan memicu kebingungan di kalangan remaja. Hal ini dapat mempengaruhi persepsi mereka tentang isu-isu global. Selain itu, perundungan cyber juga menjadi ancaman serius bagi remaja di dunia maya, yang dapat meninggalkan bekas trauma emosional dan membuat remaja merasa terisolasi dalam kesendirian. Kecanduan media sosial juga menjadi masalah serius yang dapat mempengaruhi kesehatan fisik dan mental mereka. Untuk mengatasi tantangan ini, penting bagi pihak-pihak terkait, seperti institusi pendidikan, orang tua, dan guru, untuk bersinergi dan mencari solusi yang tepat. Edukasi tentang etika bermedia sosial harus diintegrasikan dalam kurikulum sekolah dan orang tua harus terlibat aktif dalam mengawasi aktivitas online remaja. Kampanye kesadaran tentang etika bermedia sosial juga dapat diadakan untuk menciptakan budaya positif di dunia maya. Hasil dari kegiatan penyuluhan diharapkan dapat meningkatkan kesadaran remaja tentang pentingnya berperilaku etis dan positif di dunia maya. Perubahan sikap dan perilaku positif diharapkan terjadi, sehingga remaja dapat menggunakan media sosial secara lebih bertanggung jawab dan menghindari risiko negatif yang terkait dengannya. Dengan demikian, generasi muda akan menjadi lebih cerdas dan tanggap dalam berinteraksi di dunia maya, menciptakan lingkungan digital yang sehat dan aman bagi semua pengguna.
Design and Build Online Job Vacancy Application in Labuhanbatu Regency Santika, Linda; Dar, Muhammad Halmi; Nasution, Marnis
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11386

Abstract

Labuhanbatu is a regency in North Sumatra Province which is geographically located on the main route of the east coast of Sumatra. Due to its geographical location, this district has an increasing population. Employment problems in Labuhanbatu Regency which are estimated to be increasingly complex, not to mention driven by the increase in the Open Unemployment Rate (TPT) in Labuhanbatu Regency, encourage the local government to expand and develop employment opportunities. However, Labuhanbatu Regency does not yet have a job vacancy information system that can be accessed by job seekers and companies. Online job vacancy information is a solution in providing information that has a very significant impact in saving time and costs compared to job vacancies in print media. The online job vacancy portal has succeeded in filling the vacancy for job vacancies. This study aims to design and build an online job vacancy application in Labuhanbatu Regency. The system development method used is the waterfall model, while the programming language used is PHP and MySQL DBMS. After designing and implementing the system, it was found that the System Development Life Cycle (SDLC) method with the waterfall model could be applied to build an online job vacancy application in Labuhanbatu Regency. It is hoped that this online job vacancy application can make it easier for job seekers in Labuhanbatu to receive job vacancies information so that the unemployment rate in Labuhanbatu Regency can be suppressed.
Application of Data Mining using the K-Means Method for Visitor Grouping Syah, Rahmayuni; Nasution, Marnis; Irmayanti, Irmayanti
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13624

Abstract

Grouping amusement ride visitor data is an important process that aims to identify certain patterns of visitors, enabling management to adjust marketing strategies and improve their services more effectively. This process begins with a data selection stage where relevant visitor data is collected and prepared for analysis. The next stage is data pre-processing, which involves cleaning the data from noise or irrelevant data, as well as ensuring the data is in a format suitable for analysis. After that, the data mining model design is carried out by selecting the most appropriate method for grouping visitor data. The next stage is testing and evaluating the model to verify its accuracy and effectiveness. The results of model testing show that visitor data can be categorized into three groups: C1 with 50 data, C2 with 20 data, and C3 with 48 data. The results of the model evaluation confirm that the designed model succeeded in classifying data with perfect accuracy, namely 100%. This success shows that the model is highly effective in identifying and segmenting visitor patterns, providing valuable insights for strategic decision making in service improvement and marketing. This success also opens up opportunities for the application of similar methods to other datasets in an effort to improve visitor experience and operational efficiency.
Data Mining Clustering Analysis of Child Growth and Development Using the K-Means Method Nurjannah, Eka; Nasution, Marnis; Muti’ah, Rahma
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13817

Abstract

This research aims to group children based on their growth and development characteristics. This method helps identify groups of children with normal growth and development, early signs of growth and development problems, and serious growth and development problems. The stages used in this research follow the Knowledge Discovery in Database (KDD) process, which consists of data selection, data pre-processing, data transformation, data mining, and evaluation or interpretation of results. By applying the K-Means method, this research aims to provide a clearer and more detailed picture of the distribution of children's growth and development problems and assist in decision making for more appropriate interventions. The K-Means method in data mining was used to group 102 sample data into three clusters based on children's growth and development characteristics. The results of this analysis show that 38 samples fall into Cluster 1 (C1), 36 samples into Cluster 2 (C2), and 28 samples into Cluster 3 (C3). Evaluation of clustering results is carried out using Box Plot and Scatter Plot. Box Plot shows a clear distribution of data for each cluster, ensuring that the data grouping corresponds to statistical evaluation. Cluster C1 is toddlers with normal growth and development. Cluster C2 shows early signs of growth and development problems. Cluster C3 indicates serious growth and development problems
Sistem Pengambilan Keputusan Untuk Pengolahan Data Siswa Penerima Bantuan Belajar Komputer Gratis Sofiani, Anggi; Nasution, Marnis; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.5992

Abstract

Students play an important role in learning computers, especially in the process of education and learning. According to Law No. 14 of 2005 article 51 paragraph 1 item b states that students are entitled to receive awards for their performance during computer Learning . On the other hand, information technology continues to develop rapidly, one of the developments in information technology is the emergence of Decision Support Systems. Decision support system is a system that helps decision makers in making a decision.There are many methods or algorithms that can be used in decision support systems, including Weighted Product (WP), TOPSIS, Simple Addictive Weighting (SAW), Analytical Hierarchy Process (AHP) methods and others. Analytical Hierarchy Process (AHP) method is one method that has been widely used in Decision Support Systems. This method has the ability to measure the degree of consistency of the decisions to be made. One of the consistency calculations performed in the AHP method is the calculation of the consistency ratio, which in this calculation is done using the value of the random index (IR). Over time, many researchers have conducted research on the value of the Analytical Hierarchy Process random index, so there are many new random index values in addition to the AHP random index found by students.
Penerapan Machine Learning Algoritma Regresi Linear Untuk Memprediksi Saham Bank BNI Andini, Novira Dwi; Harahap, Syaiful Zuhri; Nasution, Marnis
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5649

Abstract

Indonesia has been growing rapidly, one of which can be seen from the economy and technology in Indonesia, at this time the community is almost entirely using machine power technology as a helper of daily life, and the community has also processed a lot of its finances by way of stock investment, with stock investment, the community believes that stocks are invested safer and more profitable. Shares are securities that show proof of ownership or capital market participation of investors in a company (BNI) and shares have a value that is up and down (volatile). Stocks are very important in a company and stocks are a trigger for rising profits in the company.  The rise and fall of stock prices in Indonesia has an adverse effect on companies, especially PT Bank Negara Indonesia (Persero), Tbk. the cause of the rise and fall in stock prices is usually caused by several things, namely the condition and performance of the company, risk, dividends, interest rates, economic conditions, government policies, government issues or other issues, the rate of inflation, supply and demand. Machine learning tools used in predicting stocks, using machine learning, the data obtained is more accurate. Machine learning is an artificial intelligence that can process data that is useful for consideration in making decisions and solving problems.      Linear regression algorithm is one of the methods used to predict stock data in Bank Negara Indonesia. Linear regression algorithm tries to model the relationship between two variables by matching the linear equation of the stock data to be studied. One variable is considered the explanatory variable and the other variable is called the dependent variable. Prediction a process for systematically estimating BNI stock data that will appear in the future using data obtained from the past. Thus the company can easily find out the stock data in the future.
Analisis Kinerja Sistem Informasi SMK Swasta Pemda Saputri, Yuni; Nasution, Marnis; Masrizal, Masrizal
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6120

Abstract

This research aims to analyze the performance of the information system used in local government private vocational schools, which plays an important role in supporting the smooth operation of schools, including the teaching and learning process, administration and financial management. The research method used is benchmarking, which involves collecting data through interviews, observations and questionnaires. The research results show that the existing information system still has several weaknesses, such as lack of integration between systems, inaccurate data reporting, and low efficiency in data processing. Based on these findings, this research provides recommendations for improving the information system in local government private vocational schools to make it more effective and efficient in supporting school activities.
Sistem Informasi Pariwisata Alam di Kabupaten Labuhanbatu Berbasis Web Purba, Cinrewina; Nasution, Marnis; Muti Ah, Rahma
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5650

Abstract

Indonesia is a country rich in natural resources. nature tourism has a unique and interesting natural wealth as the main attraction for people who like to visit nature. Saving the environment and biodiversity becomes very important, and nature tourism can be a means to increase public awareness and involvement in Nature Conservation. Each of these tours has its own beauty and characteristics. Tourism is one of the sectors that has the opportunity to become the largest foreign exchange contributor in Indonesia, tourism growth in indonesia was recorded at 7.2 percent per year, higher than the average world tourism growth of only 4.7 percent. Labuhanbatu Regency is one of the regions of North Sumatra that has a good tourism sector.but in the dissemination of information  about tourism is still a manual, among others, the provision of brochures, posters, pamphlets to tourists who visit. The Office of Youth, Sports, Culture and tourism does have a website about natural tourism in Labuhanbatu but its webiste can not be opened, and the automatic development of natural tourism can not be updated to the website. At the time of the tour, the tourists also must be really tired on the way and want to stay at the tourist attractions. To ensure the presence or absence of lodging in these tourist attractions,it is very necessary for the website to more easily find out information about natural attractions in Labuhanbatu Regency.
Co-Authors Ah, Rahma Muti Ahmad Habibullah, Imam Akbar Ritonga, Ali Ambarita, Mira Nanda Andini, Novira Dwi Bangun, Budianto Cahya, Susilo Tiadi Cahyani, Nilam Hasibuan, Ardiansyah Hasibuan, Muhammad Adlin Irmayani, Deci Irmayanti Irmayanti, Irmayanti Juledi, Angga Putra Lestari, Putri Anggraini Muhammad Halmi Dar Munthe, Ibnu Rasyid Muti'ah, Rahma Muti’ah, Rahma Nurjannah, Eka Pohan, Sentosa Purba, Cinrewina Putri Lestari, Putri Rambe, Diana Indriani Rambe, Inny Rahayu Rasyid Munthe, Ibnu Ray Silaen, Belinda Ritonga, Irmayanti Rohani Rohani Salsabila, Aulia Santika, Linda Saputri, Yuni Sinurat, Shondy Raja Ferdinand Siregar, Peni Ungkasara Sofiani, Anggi Syah, Rahmayuni Syaiful Zuhri Harahap ZURAIDAH ZURAIDAH