Article Per Year (5 Year)
p-Index From 2021 - 2026
1.829
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal AbdiMas Nusa Mandiri
Nining Suharyanti
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Environmental Science Mathematics Medicine & Pharmacology Physics Social Sciences Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
PENERAPAN DATA MINING PENJUALAN PIZZA DENGAN MENGGUNAKAN METODE APRIORI Rusdiansyah, Rusdiansyah; suharyanti, Nining; Triningsih, Triningsih; Murniyati, Murniyati
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.108 KB) | DOI: 10.33395/sinkron.v4i2.10500

Abstract

Pizza is a processed food originating from Italy and has been spread in various other countries including one of them in Indonesia. Pizza is a processed food that is currently sought after by various groups of people so as to make the pizza business opportunity very profitable, if it is run in a food business. Currently the pizza business has very favorable prospects when compared to other businesses. Moreover, the targeted target can be from all walks of life from children to adults. Pizza sales transactions that produce sales data every day, have not been able to maximize the use of sales data. Sales data is only stored as an archive, so it becomes a pile of data. Therefore the use of data mining is used to solve this problem. A priori algorithm is a data mining method by using minimum support parameters, minimum confidence and will analyze in the period of every month of sales transactions. This study produces data on the results of the process of association rules from the data collection of sales transactions. From the association rules it can be concluded that the pattern of pizza sales, where consumers more often buy Meatzza and Cheese Mania, as evidenced by the results of calculations using Apriori Algorithm and Rapidminer 5.3, with support of 30% and 60% confidence.
Pemanfaatan Digital Marketing Dalam E-Commerce Di Masa Pandemi Covid-19 Pada Majelis Talim Hidayatul Mubtadiin Kartika Mariskhana; Nining Suharyanti; Endang Suparni; Achmad Syahlani; Desy Tri Anggarini
Jurnal AbdiMas Nusa Mandiri Vol 2 No 2 (2020): Periode Oktober 2020
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v2i2.1924

Abstract

Meningkatnya kasus positif virus corona Covid-19 di Jakarta kembali meningkat tajam dan sejak PSBB transisi 4 Juni sampai dengan 2 Juli jumlah kasus baru yang ditemukan 6.748 kasus. Selain itu Pemprov DKI Jakarta pun selalu memperhatikan angka presentase yang muncul, sebagai upaya antisipasi dan mengendalikan perkembangan dari Covid-19. Untuk itu media digital marketing adalah media yang efektif dalam era covid 19. Pelatihan Digital marketing dalam E-commerce pada Majelis Taklim Hidayatul Mubtadiin ini diharapkan dapat menjadi kontribusi yang bermanfaat untuk peningkatan kualitas dan kemampuan dalam pemasaran digital marketing lebih efektif. Pelatihan dilakukan dengan metode penyampaian teori dan praktek secara langsung. Pada akhir pelatihan, peserta menyatakan puas dengan angka 95 % dari hasil kuesioner yang disebarkan kepada mereka. Hampir rata-rata menyatakan bahwa materi pelatihan sesuai dengan kebutuhan mereka, karena dapat menunjang pekerjaan. Selanjutnya mereka juga mengatakan bahwa materi yang diberikan lengkap dan mudah dipahami, banyak yang menyatakan demikian, yakni sebesar 95,67%.
APLIKASI PERANCANGAN PROGRAM PENJUALAN TOPI SECARA KREDIT (Studi kasus: Gudang Topi Cikampek Jawa Barat) Nining Suharyanti; Murniyati Murniyati
Jurnal Akrab Juara Vol 4 No 4 (2019)
Publisher : Yayasan Akrab Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to design a Accounting Information System for Credit TOPI Sales that has not been computerized in the Karawang regency cap warehouse, to be computerized. Hat warehouse is a business that sells hat, which handles cash and credit sales. But the sales recording system still uses the recording in the ledger. The method used is interviews and observations, this research was conducted at the hat warehouse, which is located in Wncimekar, Kota Baru, Karawang District of Karawang. The results of research on the design of Accounting Information Systems for Sales of Hats on Credit, which can help in the process of selling hats. to be more effective and efficient in the process. So far, the company uses a manual system by recording all data and transactions in one book, so that it can cause data loss. With the proposed system of accounting information system design, the sale of hats on credit is expected to help companies manage data and transactions. The results to be achieved are the Accounting Information System for Credit Sales Hats consisting of, Data Collection System on Data of Goods, Data on Credit Packages, Customer Data, Credit Sales Transactions, Installment Transactions and Reports.
APLIKASI SISTEM PENDUKUNG KEPUTUSAN DISTRIBUSI IKAN BERDASARKAN MODEL TRANSPORTASI DENGAN METODE VAM (STUDI KASUS: PT. KEMILAU BINTANG TIMUR) Nining Suharyanti; Riswandi Ishak
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 3 No 4 (2018): November
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sensitivity analysis is a way to determine the effect on the optimal solution generated by the simplex method if the parameter value is changed. Sistem is designed to address various areas of linear problems because it is open. However, before applying the linear problems encountered on the tool that has been created, it first needs to perform mathematical modeling of these problems. By utilizing this DSS, then all linear problems will be resolved properly and quickly. Optimization of transport models for the distribution of either cost minimization or profit maximization which is linear, the problem of transport carried out using the method of Vogel's Approximation Method (VAM). The method used to solve transportation problems by an efficient algorithm, but the variables are known with certainty. Ds for windows is one of the software for the optimal solution of transport problems that will assist in decision making for managers. The application of transport models used to determine the minimum cost of shipping goods from a supplier who happens to demand. Companies can save money and be more effective in the process of the optimal distribution of goods so it is easy to determine which potential buyers. Stages of the transport model begins with the initial results of the base feasible solution using the method of Vogel's Approximation Method (VAM) and ds software for windows which is a tool to help solve the optimization problem.
IMPLEMENTASI PROGRAM REKAPITULASI SISTEM INFORMASI PEMBAYARAN SPP DI MASA PANDEMI PADA SMK PGRI TANGERANG Nining Suharyanti
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 6 No 3 (2021): Agustus
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58487/akrabjuara.v6i3.1546

Abstract

Di zaman yang modern sekarang ini. Kemajuan teknologi informasi semakin cepat berkembang. Apalagi di masa pandemic covid 19 ini semua kegiatan usaha dilakukan dengan komputerisasi dan online.dimana Salah satunya komputer merupakan peralatan yang paling banyak digunakan karena semua serba dilakukan secara komputerusasi yang mempunyai fungsinya yaitu mempermudah segala aktivitas pekerjaan. Baik dalam hardware maupun software. Pada SMK PGRI Tangerang ini memprioritaskan pelayanan yang berkualitas untuk memuaskan bagi Para Siswa dan kemudahan orang tua dalam mendapatkan informasi tentang pembayaran, Oleh karena itu penulis mencoba membuat penelitian tentang sistem informasi pembayaran SPP Pada SMK PGRI Tangerang yang sampai saat ini masih menggunakan sistem secara manual. Sistem yang ada pada SMK PGRI Tangerang ini belum terkomputerisasi. Mulai dari pencatatan data pendaftaran siswa yang akan membayar SPP. Sampai pembuatan laporan keuangan. Sehingga tidak menutup kemungkinan kesalahan dalam proses pencatatan, Kurang akuratnya laporan yang dibuat.. Perancangan Sistem Informasi merupakan solusi terbaik untuk memecahkan permasalahan yang ada pada sekolah ini, serta dengan adanya sistem yang sudah terkomputerisasi maka dapat terselesaikannya suatu kegiatan dengan cepat dan efektif.
APLIKASI RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PEMBELIAN SECARA TUNAI (STUDI KASUS: CV. PRESTASI GEMILANG JAKARTA) Nining Suharyanti
Jurnal Akrab Juara Vol 4 No 2 (2019)
Publisher : Yayasan Akrab Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this globalization era, services and information that are fast and accurate and in accordance with needs have become a necessity, because of the many benefits that can be obtained from technology, for example, information produced with technology will be more accurate and faster, saving time and costs so that companies can increase revenue . To realize this, it requires a system that has been computerized, as a support for performance in terms of recording goods purchase transactions. Based on direct observations and the results of interviews the problems that occur are the systems used are still manual so that the recording process carried out has several weaknesses, such as the problem of loss of transaction data, a relatively long data search process, no integrated accounting records and timeliness in submitting accounting reports . Visual basic is one application that helps the system become computerized so that it becomes the best solution to solve these problems, so that in the data processing it is neatly organized, well integrated and in making financial reports more accurate.
APLIKASI PERANCANGAN SISTEM INFORMASI PEMBELIAN BAHAN BAKU MAKANAN RESTORAN JEPANG SECARA KREDIT PADA PT.BOGA SUKA JAYA LESTARI TANGERANG SELATAN Nining suharyanti
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 3 No 2 (2018): Mei
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Adi Nugroho.2010. Rekayasa Perangkat Lunak Berbasis Objek dengan Metode USDP.Andi.Yogyakarta. Fatta, Hanif Al.2007. Analisa dan Perancangan Sistem Informasi. Yogyakarta: Andi Offset. Freddy, Rangkuti. 2007. Manajemen Persediaan Aplikasi di BidangBisnis. Jakarta: PT. Rajagrafindo Persada. Mcleod, Raymond, JrnSchell, George P. 2008. Sistem Informasi Manajemen, edisi 10, Terjemahan Oleh Ali Akbar Yulianto dan Afla R. Fitriati. Jakarta:Salemba Empat (2008:40). Puspitawati, Lilis., Sri Dewi Anggadini. 2011. Sistem Informasi Akuntansi. Yogyakarta: Graha Ilmu. Sarosa, Samiaji. 2009. Sistem Informasi Akuntansi 1D, Jakarta: Grasindo. Soemarso. 2009. Akuntansi Suatu Pengantar. Buku ke 2.Edisi 5. Jakarta: Salemba Empat. Sutabri, Tata. 2012. Konsep Dasar Informasi. Yogyakarta: Andi (2012:12). Zakiyudin, Ais. 2012. Sistem Informasi Manajemen. Jakarta: Mitra Wacana Media (2012:13).
Data Mining implementation on SMUN Scholarship recipient candidates using the C4.5 algorithm Rusdiansyah, Rusdiansyah; Supendar, Hendra; Suharyanti, Nining; Tuslaela, Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11767

Abstract

This research is motivated by SMUN  previously only providing scholarships for underprivileged students, while for students who excel, the method is not yet, therefore, research by implementing data mining with the C4.5 algorithm method so that in the future, if the scholarship program is for outstanding students already exists, then SMUN  can immediately apply it. The sample data are 33 scholarship recipients with subjects that have been determined based on the report card scores of prospective scholarship recipients. The selection results for receiving scholarships to outstanding students so far have only been calculated in general terms, the possibility of incorrect results will cause losses for students who have good achievements. As a result, there are students who should get the scholarship rights and do not receive it. The problem of this research is how to make it easier to analyze students who need and are entitled to receive scholarships, how to make it easier to select and determine scholarship recipients. The research uses the C4.5 algorithm to overcome these problems. With the C4.5 algorithm, the percentage accuracy value can be calculated which is used to determine whether the student is entitled to receive a scholarship or not. The data collection technique in this study is to use student report cards. classification value in determining students who get scholarships with the highest accuracy of 81.81%. The accuracy value was obtained by experimenting with the testing process with the number of student data as many as 33 students. It is hoped that it will make it easier to receive scholarships for students who excel academically in school.
Application of the Naïve Bayes Algorithm in Determining Sales Of The Month Supendar, Hendra; Rusdiansyah , Rusdiansyah; Suharyanti, Nining; Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12293

Abstract

One important factor for creating a healthy and growing company is the existence of sales rewards for employees to achieve sales targets every month. Assessing employees is not an easy thing when there are so many employees. This will make the assessment team have to look at the criteria carefully and carefully. Data manipulation can occur because it is difficult to make decisions with such large criteria and data without automated data mining. As a result, the company will not get competitive human resources. Sales targets are one of the keys to sales success because with sales targets, the sales prediction value can be used as a guide as a reference in determining product sales. One way to make better sales predictions is by utilizing data mining processing using the Naive Bayes algorithm. The Naive Bayes algorithm calculates the probability value of each of the attributes examined including attendance, sales targets and sales returns. Research with employee absence criteria, monthly sales and monthly sales invoice returns. From the results of the research that has been done, it can be concluded that the application of the Naive Bayes classifier method to the target data set for sales of goods achieves an optimization level of 95.78%, with attendance criteria greatly affecting employee performance so that product sales targets each month can be achieved
Implementation of K-Means Clustering in Food Security by Regency in East Java Province in 2022 Tuslaela, Tuslaela; Rusdiansyah, Rusdiansyah; Supendar , Hendra; Suharyanti , Nining
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13169

Abstract

Food is the main need that society must fulfill. If food security is disrupted, it will have a negative impact on the nation's life. The agricultural sector has an important role in West Java Province. This province has a large area of agricultural land, so it has high potential to produce abundant agricultural production. However, knowing the adequate number of farmers is very important. Therefore, the implementation of K-Means Clustering can make a significant contribution to the East Java Provincial Agriculture Service in grouping farmers by district. To achieve optimal results, determining the best K value needs to be considered carefully. K-Means Cluster Analysis is a method of non-hierarchical Cluster Analysis that groups data into one or more groups. Data with the same characteristics is grouped into one cluster and data with different characteristics is grouped into another cluster. The data used in this research are land area and rice production in the Regency of East Java Province in 2022. Based on the results of research with the object of Food Security, it can be concluded that, the results of the analysis of the application of manual data mining calculations in Excel Software using the K-Means Clustering method, resulted in two types of clustering in the form of C0, namely the Highest Land Area and Production group with 4 districts: Jember Regency, Ngawi Regency, Bojonegoro Regency and Lamongan Regency, for C1 clustering, namely the Lowest Land Area and Production group with 25 districts in East Java Province
Co-Authors Achmad Syahlani Desy Tri Anggarini Endang Suparni Hendra Supendar Indah Puspitorini Kartika Mariskhana murniyati murniyati Murniyati, Murniyati Ramadan Duwi Susanto Riswandi Ishak Rusdiansyah , Rusdiansyah Rusdiansyah Rusdiansyah Triningsih Triningsih Tuslaela Zulfa Laila Nabilla