Garuda - Garba Rujukan Digital

Design Warehouse Management Inventory System Based On The Website Aria, Ririn Restu; Rahadjeng, Indra Riyana
IJISTECH (International Journal of Information System & Technology) Vol 1, No 2 (2018): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Warehouse management system is one of the most important parts of manufacturing companies in order to monitor all the supplies owned by the company for incoming goods and goods out. PT. Arista Latindo, is still using manual way to know the inventory they have today, so it will take a lot of time to be able to process the results of the use of raw materials, the resulting production, when using the system there are many mistakes that often occur in the process of recording thus affecting the overall system. Therefore, with technological advances to improve the existing system from the manual will be converted into computerized. For making these applications can use the website as a form of view that can be accessed by administrators more easily, quickly and effectively. When the design is done to better understand the needs of the user, the process is done and the output to be used, the testing process is done by waterfall method and black box testing method to check the errors associated with the display in applications that have been made and will be used in the company.

Sistem Pendingin Ruangan dan Penampil Status Produksi pada Industri Minuman Ringan Yasmin, Ghaisani; Herdian, Barlin; Rahadjeng, Indra Riyana; Aria, Ririn Restu
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.129 KB)

Abstract— Pada industri minuman ringan terdapat ruangan server dan ruangan produksi. Pendingin ruangan pada server room menggunakan Air Conditioner (AC) yang menyebabkan pengembunan pada server. Masalah tersebut dapat diantisipasi dengan menggantikan AC dengan kipas pendingin. Ruangan produksi memerlukan penampil status sedang produksi agar pekerja mengetahui produksi sedang berlangsung. Ruangan server dan ruangan produksi perlu inovasi dalam pengontrolan.. Dibuatlah sistem yang dapat mengontrol pendingin ruangan dan penampil status sedang produksi oleh operator melalui Human Machine Interface (HMI). Sistem terdiri dari master, slave-1 dan slave-2. Master berfungsi mengontrol Slave 1 dan Slave 2. USB to RS485 berfungsi sebagai komunikasi serial antara HMI dengan RS485. Kemudian RS485 to TTL berfungsi sebagai komunikasi serial antara RS485 dengan TTL (mikrokontroler pada Arduino Uno). Arduino Uno-1 berfungsi sebagai slave-1 yang mengontrol kipas pendingin bergerak dan LED menyala sebagai indikator server menyala. Arduino Uno-2 berfungsi sebagai mengontrol tampilan status produksi di LCD (Liquid Crystal Display) dan Motor DC bergerak sebagai pengaduk minuman. Kedua slave dapat diatur melalui HMI dengan pilihan mode-1, mode-2 dan mode-3. Mode-1 yang dipilih maka slave 1 aktif. Mode-2 yang dipilih maka slave 1 dan slave 2 yang aktif. Mode 3 yang dipilih maka slave 1 dan slave 2 tidak aktif.

K-Means to Determine the e-commerce Sales Model in Indonesia Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.47

Sales of e-commerce in Indonesia are currently experiencing a pretty good increase by starting to switch sales that are done traditionally or offline to online sales using the use of internet media to facilitate trade transactions between sellers and buyers can be done anywhere and anytime. In this study using the K-means clustering method algorithm. The data source used in this study is based on sales using e-commerce based on provinces in Indonesia in 2018. The criteria used in the calculation are divided into 3 clusters, namely seller, reseller and dropship. Centroid data for cluster 1 = 68.30,33,58,4.95 namely Aceh, Riau, West Kalimantan, East Kalimantan, and Maluku. Centroid data for cluster 2 = 78.58,22,25.4,22 i.e. North Sumatra, West Sumatra, Jambi, Bangka Belitung Islands, D.K.I Jakarta, Central Java, East Java, Banten, Bali, Central Kalimantan, South Kalimantan, South Sulawesi and Papua and Centroid data for cluster 3 = 86.36,13.34,4.38 namely South Sumatra, Bengkulu, Lampung, Riau Islands, West Java, D.I Jogyakarta, West Nusa Tenggara, East Nusa Tenggara, North Kalimantan, Central Sulawesi, Gorontalo, West Sulawesi, North Maluku and West Papua.

Design Warehouse Management Inventory System Based On The Website Ririn Restu Aria; Indra Riyana Rahadjeng
IJISTECH (International Journal of Information System and Technology) Vol 1, No 2 (2018): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v1i2.8

Warehouse management system is one of the most important parts of manufacturing companies in order to monitor all the supplies owned by the company for incoming goods and goods out. PT. Arista Latindo, is still using manual way to know the inventory they have today, so it will take a lot of time to be able to process the results of the use of raw materials, the resulting production, when using the system there are many mistakes that often occur in the process of recording thus affecting the overall system. Therefore, with technological advances to improve the existing system from the manual will be converted into computerized. For making these applications can use the website as a form of view that can be accessed by administrators more easily, quickly and effectively. When the design is done to better understand the needs of the user, the process is done and the output to be used, the testing process is done by waterfall method and black box testing method to check the errors associated with the display in applications that have been made and will be used in the company.

Classification of Generation By Population by Region in Indonesia Using K-Means Algorithm Ririn Restu Aria; Susi Susilowati
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i4.160

Population growth caused by the year of birth led to the classification of population groups into several generations. Classification is important because in each generation there is based on population growth has different characteristics and traits in each generation. This research was conducted to try to group generations based on provinces in Indonesia based on the number of residents owned. When researchers analyzed the data obtained from population census data conducted by the central statistics agency (BPS). The method used in generation classification grouping uses the K-Means algorithm method based on 3 clusters. Based on the results of calculations carried out for 3 clusters obtained cluster 1 has 25 provinces, cluster 2 has 3 provinces and cluster 3 has 6 provinces. Based on the 2020 census that has been conducted, the current population is generation Z, generation and Pre Boomer generation is last in line so that from the available data can provide information about mapping in 34 provinces to be able to improve communication patterns between generations and fulfill public facilities that can be used every generation

Implementation of the K-Medoids Algorithm for Data Clustering of Covid 19 Cases in West Java Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i1.109

The Covid 19 pandemic has hit Indonesia for almost 15 months since March 2020. The virus has spread to all provinces in Indonesia. Various efforts were made to be able to reduce or prevent the spread of the coronavirus, including the implementation of the PSBB in various areas including in West Java province. In this study, the objective of this research is to cluster the data on cases of Covid 19 in West Java which are recapitulated daily based on districts/cities that occurred on May 20, 2021. For the clustering process, the K-medoids algorithm is used which determines 3 clusters based on the variables used, namely discarded close contact, suspects discarded, probable completed, probable died, totally positive, positive recovered, and positive died. For data processing, a calculation analysis was carried out using the stages in the K-medoids algorithm and the Rapidminer application with high cluster mapping of 6 districts/cities, medium clusters there were 19 districts/cities, while low clusters had 2 districts/cities. The results of the analysis are expected to provide information about the distribution and mapping of clusters in West Java province.

RANCANG BANGUN ANIMASI PENGENALAN MUSEUM SEJARAH JAKARTA BERBASIS MULTIMEDIA Susliansyah Susliansyah; Asep Saepudin; Ririn Restu Aria
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 3, No 2 (2017): JURNAL TEKNIK KOMPUTER AMIK BSI
Publisher : Universitas Bina Sarana Informatika

Abstrak – Museum Sejarah Jakarta merupakan salah satu sumber informasi mengenai perkembangan atau perjalanan kota jakarta, rendahnya minat masyarakat terhadap informasi Museum Sejarah Jakarta yang berhubungan dengan sejarah-sejarah jakarta, dikarenakan informasi di Museum Sejarah Jakarta masih menggunakan sejenis poster ataupun baner, sehingga masyarakat merasa cepat bosan karena dengan metode tersebut dianggap kurang efisien dan kurang menarik. Adapun metode pengumpulan data yang digunakan adalah dengan cara observasi, wawancara dan studi pustaka sedangkan metode pengembangan sistem menggunakan waterfall dengan tahapan analisa kebutuhan sistem, desain pembuatan kode program, pengujian dan pendukung. Media informasi sejarah untuk pengunjung ini diharapkan dapat memberikan fitur-fitur lebih seperti peragaan secara langsung, materi yang lebih detil, dan terkesan menyenangkan. Animasi merupakan teknologi yang dapat digunakan untuk berbagai keperluan, salah satunya adalah media Animasi Pengenalan Sejarah Jakarta Pada Museum Sejarah Jakarta yang dapat digunakan oleh pengunjung. Penggunaan media ini dalam proses informasi dapat memotivasi pengunjung dan meningkatkan pengetahuan dan dapat menarik simpati pengunjung untuk membaca informasi sejarah.Kata Kunci : Animasi, Museum Sejarah Jakarta, Multimedia Interaktif

Analisa Data Penjualan SaRa Collection menggunakan metode Apriori Ririn Restu Aria; Susi Susilowati
JURNAL TEKNIK KOMPUTER Vol 7, No 1 (2021): JTK-Periode Januari 2021
Publisher : Universitas Bina Sarana Informatika

Sales are one of the most important things in the SaRa collection. To increase the number of existing sales, SaRa collection must be able to see the opportunities and needs needed by its customers. For this reason, when the Covid 19 pandemic is happening now, the SaRa collection has made a connector that can be used to beautify the use of masks to prevent transmission of the Covid 19 virus. In the process of making the connector, it is still done homemade according to the model that consumers are interested in because it takes time to process and select the model. as well as the appropriate color. Currently, sales are still being recorded manually, so the owner is still having trouble providing a stock of the connector model and color that will be made in order to meet consumer demand. In order to find out what models must be provided, accurate calculations are needed, for that the author uses the a priori algorithm as a method which is expected to be taken into consideration in marketing and sales strategies as well as connecting stock data to be made. A priori calculations with itemset and associations based on sales transaction data in Sara's collection

SISTEM PEMILIHAN LAPTOP TERBAIK DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Susliansyah Susliansyah; Ririn Restu Aria; Susi Susilowati
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

The Weighted Product method requires a normalization process because this method assumes the results of evaluating each attribute. The results of these multiplications have not been meaningful if they have not been compared (divided) with standard values. The weight for the benefit attribute functions as a positive power in the multiplication process, while the weight of the cost functions as a negative rank. The Weighted Product method uses multiplication as a linking attribute rating, where the rating of each attribute must be raised first with the corresponding weight. Weighting Product Weighted method is calculated based on the level of importance. This system requires input weight values based on prospective buyers' needs in the form of prices, RAM capacity, processor type, Harddisk capacity, and VGA (Video Graphics Array). The results of this study provide laptop recommendations according to specification requirements for prospective buyers with 100% calculation accuracy based on manual calculations and calculations on laptop selection decision support systems.

Classification of Generation By Population by Region in Indonesia Using K-Means Algorithm Ririn Restu Aria; Susi Susilowati
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Population growth caused by the year of birth led to the classification of population groups into several generations. Classification is important because in each generation there is based on population growth has different characteristics and traits in each generation. This research was conducted to try to group generations based on provinces in Indonesia based on the number of residents owned. When researchers analyzed the data obtained from population census data conducted by the central statistics agency (BPS). The method used in generation classification grouping uses the K-Means algorithm method based on 3 clusters. Based on the results of calculations carried out for 3 clusters obtained cluster 1 has 25 provinces, cluster 2 has 3 provinces and cluster 3 has 6 provinces. Based on the 2020 census that has been conducted, the current population is generation Z, generation and Pre Boomer generation is last in line so that from the available data can provide information about mapping in 34 provinces to be able to improve communication patterns between generations and fulfill public facilities that can be used every generation

Title

Found 23 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 23 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 23 Documents
Search