Article Per Year (5 Year)
p-Index From 2020 - 2025
0.947
P-Index
This Author published in this journals
All Journal Building of Informatics, Technology and Science JURNAL ILMIAH KOHESI Jutsi: Jurnal Teknologi dan Sistem Informasi
Nurkarim Nehe
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Veterinary Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
PERANAN PEMBERDAYAAN MASYARAKAT DALAM PENINGKATAN MUTU PEMBANGUNAN NURKARIM NEHE
JURNAL ILMIAH KOHESI Vol 4 No 1 (2020): JURNAL ILMIAH KOHESI
Publisher : LP2MTBM MAKARIOZ

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.062 KB)

Abstract

This paper aims to determine the existence of community empowerment in improving development, through library research methods. From the discussion it can be concluded that community empowerment in improving development can provide direction in achieving the goals and objectives of community development in an optimal and sustainable manner. Directed is clearly used as a basis for controlling and evaluating the level of success.
Sistem Pendukung Keputusan Untuk Menentukan Eco Office Award Pada Dinas Lingkungan Hidup Kabupaten Asahan Dengan Metode MFEP Ihsanul Fikri; Iqbal Kamil Siregar; Nurkarim Nehe
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.1851

Abstract

The Asahan Regency Environmental Service is the result of a government agency which is the implementing element of the Regional Government in the field of the Environment. As for determining the Eco Office Award at the Environmental Office of Asahan Regency, where the process of assessing the work environment of each office is carried out by providing a report that is assessed by the environmental team, where the assessment report determining the Eco Office Award is still carried out by file collection and archived so that there may be inaccuracies in determining the Eco Office Awards are very high. In this study, the MFEP method was chosen to determine the decision assessment to determine the Eco Office Award. This method is more efficient than other methods included in the completion of Multi Attribute Decision Making (MADM). The reason is because the time required for the calculation is shorter. As can be obtained from the calculation of the alternative evaluation of Determining the Eco Office Award above, the decision to choose from the alternative is chosen from the highest value, then PT. Pos Indonesia Range
Penerapan Metode Single Exponential Smoothing (SES) dalam Peramalan Jumlah Ikan Nindi Lisnawati; Havid Syafwan; Nurkarim Nehe
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2132

Abstract

The fisheries sector is a sector that is one of the factors that can support activities and the Indonesian economy. Fishery resources, especially those in the sea, are natural resources that are freely used by anyone. In carrying out fishing business in Asahan Regency, there has been a cycle of ups and downs from the last ten years, so that the fish supply is not in accordance with its needs. Besides that, it takes a long time to find out the number of fish according to the origin of the catch if there is no technique used. Because this cycle occurs in fish production, it is not yet known how much fish production in the coming year will meet their needs, whether it will increase or decrease, the Government and fishermen in Asahan must be able to take policies to get solutions to these problems. So we need a method to predict the number of fish catches in order to know the predictive value in the next period by using calculations to find the error value for each value using the Single Exponetial Smoothing (SES) method. The results of the study obtained a prediction of the number of fish, namely in the July 2022 period 676836.19 (Kg) with a MAPE value of 3.38%, which value was greater in May 2022 and smaller than June 2022, the Asahan District Fisheries Service must meet the number of fish. in stock of their needs
PREDIKSI PERSEDIAAN KEDELAI DI UD TAHU HOME INDUSTRY DENGAN MENGGUNAKAN METODE SINGLE MOVING AVERAGE Yusri Azhari; Zulfi Azhar; Nurkarim Nehe
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 2, No 2 (2022): June 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v2i2.1696

Abstract

Abstract: Kedelai yaitu salah satu tanaman kacang-kacangan yang dibudidayakan di Asia Timur 3.500 tahun lalu. Kedelai yaitu tanaman yang dapat dimakan dan masyarakat pada umumnya mengelolahnya menjadi berbagai bentuk makanan olahan termasuk tahu. Industry Rumah Tangga UD Tahu menggunakan kedelai sebagai bahan baku utama produksinya. Penelitian ini bertujuan untuk melakukan prediksi persediaan kedelai di Industry Rumah Tangga UD Tahu Home Industry pada periode selanjutnya. Selama ini pihak UD Tahu masih melakukan prediksi melalui perkiraan, sehingga hal ini dapat mengakibatkan hasil yang tidak akurat. Berdasarkan permasalahan tersebut, diperlukan suatu sistem prediksi untuk memprediksi hasil secara cepat dan akurat. Sistem aplikasi ini dibuat dengan menggunakan metode Single Moving Average, database MySql dan sistem Visual Basic Net 2010. Serta hasil yang didapat dari penenlitian ini adalah 316,67kg untuk persediaan kedelai untuk periode selanjutnya dengan mengamsumsikan data sebelumnya            Keywords: Persediaan Kedelai; Peramalan; Single Moving Average.  Abstrak: Soybean is one of the legume crops cultivated in East Asia 3,500 years ago. Soybean is an edible plant and people in general process it into various forms of processed food, including tofu. Home Industry UD Tahu uses soybeans as the main raw material for its production. This study aims to predict the supply of soybeans in the Home Industry of UD Tahu Home Industry in the next period. So far, UD Tahu is still making predictions through estimates, so this can lead to inaccurate results. Based on these problems, a prediction system is needed to predict the results quickly and accurately. This application system is made using the Single Moving Average method, MySQL database and Visual Basic Net 2010 system. And the results obtained from this research are 316.67 kg for soybean inventory for the next period by assuming the previous data. Kata kunci: Soybean Inventory; Forecasting; Single Moving Average.
PREDIKSI PENJUALAN PADA TOKO SERBA 35000 DENGAN METODE REGRESI LINIER BERGANDA Diana Lestari; Nurul Rahmadani; Nurkarim Nehe
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 3, No 3 (2023): OCTOBER 2023
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v3i3.2848

Abstract

Abstract : The 35000 department store is one of the shops that sells various primary needs at lower prices and is in great demand by many buyers, where at a lower price and the quality is no less good than shops with more expensive prices. The problem that occurs in 35,000 department stores is the difficulty of predicting the number of sales of goods, resulting in the accumulation of goods. The method used in this study is the Multiple Linear Regression method. The use of this method aims to be able to assist 35,000 Department Store owners in providing complete and updated product information so that they can meet buyers' interests. The item data used in this study consisted of 19 item items and the researcher only predicted the number of sales for July 2023. The results of this study showed that 16 item items experienced an increase in sales and 3 item items experienced a decrease in sales.Keywords: Sales; Prediction; Multiple Linear Regression Abstrak; Toko serba 35000 salah satu toko yang menjual berbagai kebutuhan primer dengan harga yang lebih murah dan banyak diminati oleh banyak pembeli, dimana dengan harga yang lebih murah dan kualitas yang tidak kalah bagusnya pada toko-toko dengan harga yang lebih mahal. Permasalahan yang terjadi pada toko serba 35000 adalah sulitnya memprediksi jumlah penjualan barang, sehingga mengakibatkan terjadinya penumpukkan barang. Metode yang digunakan dalam penelitian ini adalah metode Regresi Linier Berganda. Penggunan metode ini bertujuan untuk dapat membantu pemilik Toko Serba 35000 dalam menyediakan informasi produk yang lengkap dan update agar bisa memenuhi minat pembeli. Data item barang yang digunakan dalam penelitian ini terdiri dari 19 item barang dan peneliti hanya melakukan prediksi jumlah penjualan untuk bulan Juli tahun 2023. Hasil dari penelitian ini menunjukkan bahwa 16 item barang mengalami peningkatan penjualan dan 3 item barang mengalami penuruanan penjualan.Kata kunci: Penjualan; Prediksi; Regresi Linier Berganda
Co-Authors Diana Lestari Havid Syafwan Ihsanul Fikri Iqbal Kamil Siregar Nindi Lisnawati Nurul Rahmadani Yusri Azhari Zulfi Azhar