Garuda - Garba Rujukan Digital

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

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.

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

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.

Application of Economic Order Quantity and Reorder Point Methods in Improving the Efficiency of Coffee Raw Material Supply (Case Study At PT. Herbal Salam) Susi Susilowati; Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The food industry sector is currently getting tighter competition, especially in the form of food in the form of herbal drinks in the form of powders and liquids. That way it is necessary to control the supply of the right raw materials for the smooth production process. The purpose of this study is to find out and analyze the control of coffee raw material supplies applied by PT. Herbal Salam. So that it can improve the efficiency of raw material supply and can improve the performance of raw material management at PT. Herbal Salam. The research methods used are the EOQ and ROP methods. Research results show that the company's raw material inventory has not been optimal and has not shown a minimum inventory cost. Based on analysis and policy calculations the company produces a total inventory of 72.000 per Kg in a year with an average purchase of 30 times a year, while the Economic Order Quantity (EOQ) method produces a total inventory of 5.280 per kg in a year with an average purchase of at least 14 times a year. This indicates that the EOQ method is smaller or there are savings of more than 50% compared to the company's policies.

Application of Economic Order Quantity and Reorder Point Methods in Improving the Efficiency of Coffee Raw Material Supply (Case Study At PT. Herbal Salam) Susi Susilowati; Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i1.213

The food industry sector is currently getting tighter competition, especially in the form of food in the form of herbal drinks in the form of powders and liquids. That way it is necessary to control the supply of the right raw materials for the smooth production process. The purpose of this study is to find out and analyze the control of coffee raw material supplies applied by PT. Herbal Salam. So that it can improve the efficiency of raw material supply and can improve the performance of raw material management at PT. Herbal Salam. The research methods used are the EOQ and ROP methods. Research results show that the company's raw material inventory has not been optimal and has not shown a minimum inventory cost. Based on analysis and policy calculations the company produces a total inventory of 72.000 per Kg in a year with an average purchase of 30 times a year, while the Economic Order Quantity (EOQ) method produces a total inventory of 5.280 per kg in a year with an average purchase of at least 14 times a year. This indicates that the EOQ method is smaller or there are savings of more than 50% compared to the company's policies.

Data Mining Menentukan Cluster Penerima Program Bantuan dengan Metode K-Means Ririn Restu Aria Aria; Susi Susilowati; Indra Riyana Rahadjeng
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 7 No. 1 (2023): Volume 7 Nomor 1 Januari 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v7i1.12030

Dampak pandemi Covid-19 yang telah berlangsung dari tahun 2019 masih dialami oleh masyarakat hingga saat ini membuat mereka mengalami kesulitan dalam bidang perekonomian dan lapangan kerja. Untuk meringankan beban penduduk, Pemerintah saat ini memberikan bantuan kepada penduduk yang termasuk kedalam kriteria yang berhak menerima bantuan pangan Non Tunai (BNPT) dan program keluarga harapan (PKH). Bantuan saat ini sudah disalurkan dari pemerintah pusat kepada masayarakat melalui pemerintah daerah di provinsi masing – masing. Penelitian ini dilakukan berdasarkan data yang diperoleh dari website BPS dan peneliti menggunakan data mining untuk melakukan cluster data dengan metode K-Means dan pengolahan data juga dilakukan dengan aplikasi Rapid Miner. Dalam data mining, data yang dimiliki saat penelitian dilakukan pengklasifikasian data, membuat prediksi serta memperkirakan untuk mendapatkan informasi yang bermanfaat dari kumpulan data yang akan diolah. Pengelompokan dilakukan berdasarkan 34 provinsi di Indonesia dengan menentukan nilai centroid awal di provinsi Bengkulu dan Provinsi Jawa Barat. Berdasarkan perhitungan yang dilakukan dengan algoritma K-means dapat dikelompokkan menjadi 2 cluster yaitu cluster rendah dan clustser tinggi. Perhitungan menghasilkan 14 provinsi cluster rendah dan 20 provinsi cluster tinggi. Berdasarkan penelitian yang telah dilakukan diharapkan dapat membantu pemerintah daerah untuk menentukan jenis bantuan apa yang akan diberikan kepada masyarakat di provinsi masing – masing sehingga sesuai dengan kebutuhan mereka

PERANCANGAN SISTEM INFORMASI PENERIMAAN SISWA BARU Aria, Ririn Restu
Perspektif : Jurnal Ekonomi dan Manajemen Akademi Bina Sarana Informatika Vol 14, No 1 (2016): MARET 2016
Publisher : www.bsi.ac.id

New admissions is an essential part of the school to be recognized or selected by parents in order to enroll their children at the school. Various ways of promotion every year is always done to make it more known by parents and prospective students themselves in choosing schools that match their interests and skills possessed by prospective students in the school department contained. Originally a school just introduced their schools offline either using banners or promotions of students who are already attending the school without the help of technology that can be used by parents, but the use of the internet is now enabling everyone to be able to search for information quickly and efficiently without wasting time in getting the desired information, that's what made the design of new admissions online. In this system all of which related to the procedures of registration, majors available, fees based on the subject as well as the orientation of learners can be determined directly by parents and prospective students who will enroll at the school. Prospective students can also provide information relating to personal order to complete the personal details of prospective students before the new admissions process is done so that the data - the data provided can be used for new admissions process to the next stage. While using the website easier for administrators to manage data related to prospective students and to update the information relating to schools ranging from registration procedure, facility, fees and registration statements relating to new admissions. By using the internet and website are expected to facilitate the prospective student registration, more efficient and more affordable to the general public Keyword : System design, enrollment, website

Classification of Domestic Flight Passengers at Main Airports Using the K-Means Clustering Method Syaoqiyah, Syifa Siti; Anisa, A; Selvina, Yudhi Yulianti Selvina; Rahmadenti, Nadhia Ayu; Aria, Ririn Restu
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.340

The aviation business in Indonesia has recently experienced quite significant growth, which can be seen from the fact that many people tend to choose air transportation to travel and connect them to cities in Indonesia. With air transportation, the time spent traveling to one area or city can be reduced. accomplished in a short time. This causes the number of passengers per flight to be quite high, especially in domestic flights which occur at the main airport. This research will use the K-Means Clustering algorithm to find out the schedule for the busiest month for the highest domestic airlines at major airports. The data source for this research comes from the central statistics agency regarding the number of domestic airline passengers at major airports. The criteria used in this research are divided into 3 clusters, namely high, medium, and low. The results of this research show that the highest number of passengers (C1) occurs in January to April, while the moderate number of passengers (C2) occurs in May to December, and the lowest number of passengers (C3) occurs in August to November.

Classification of Domestic Flight Passengers at Main Airports Using the K-Means Clustering Method Syaoqiyah, Syifa Siti; Anisa, A; Selvina, Yudhi Yulianti Selvina; Rahmadenti, Nadhia Ayu; Aria, Ririn Restu
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.340

The aviation business in Indonesia has recently experienced quite significant growth, which can be seen from the fact that many people tend to choose air transportation to travel and connect them to cities in Indonesia. With air transportation, the time spent traveling to one area or city can be reduced. accomplished in a short time. This causes the number of passengers per flight to be quite high, especially in domestic flights which occur at the main airport. This research will use the K-Means Clustering algorithm to find out the schedule for the busiest month for the highest domestic airlines at major airports. The data source for this research comes from the central statistics agency regarding the number of domestic airline passengers at major airports. The criteria used in this research are divided into 3 clusters, namely high, medium, and low. The results of this research show that the highest number of passengers (C1) occurs in January to April, while the moderate number of passengers (C2) occurs in May to December, and the lowest number of passengers (C3) occurs in August to November.

Penerapan Metode Waterfall Dalam Sistem Informasi Pembuatan Surat Rekomendasi BPJS Kelas III Aria, Ririn Restu; Rosdiana, Annisa Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

BPJS health is a social security organizer that organizes health insurance for the community. One of the most important activities is the preparation of a BPJS recommendation letter for class three which is managed by the Bogor City Social Service. To make a recommendation letter, the applicant must submit the letter to the service department and must be approved in advance by the head of the social service office. so that letter-writing services can run quickly and effectively, applications must be made available that make it easy for the head of the office to see and approve the existing application letter. In this study the method used is the waterfall so that it can understand the overall problem and produce applications that suit the needs of users. The purpose of this study is to provide convenience for the applicant, the service department and the head of the office in the process of submitting a BPJS recommendation letter and approval made in the proposed recommendation letter.

Perancangan Program Peminjaman Dan Pengembalian Buku Pada Perpustakaan (Studi Kasus Smp Pgri 1 Cibinong) Sarita, Nur; Aria, Ririn Restu; Susliansyah, Susliansyah
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The library is one of absolute means that must be owned by a school because students can get more science and knowledge without having to buy a book of its own. Now an interest read the students also had the higher it should be supported by the school.Library of PGRI 1 Junior High School in Cibinong need once the existence of an application program library that support and provide satisfactory service for the students in the process of borrowing and the return on the book. For that is the writer trying to make final assignment regarding the design of the program and the repayment of loan book at the library of the PGRI 1 Junior High School in Cibinong which is still done manually, starting from the processing of the data members of the data processing, book loaning, transaction processing, transaction processing, and returns to the making of reports, thus allowing the process to take place at the time the error occurred in the logging, less akuratnya the report is made and the delay in the search for the required data. The design of the program is the best solution to solve the problems that exist in the library, as well as with the design of the program can be reached by an activity which is effective and efficient in supporting activities at the library. Then this in the design of the program better than the manual systems to run more effectively and efficiently as well as lending system and return books that are now more conducive than with the previous system.

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