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INDONESIA
Sistemasi: Jurnal Sistem Informasi
Published by Universitas Islam Indragiri
ISSN : 23028149     EISSN : 25409719     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, Teknologi Informasi,Computer Science,Rekayasa Perangkat Lunak,Teknik Informatika
Arjuna Subject : -
Articles 35 Documents
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Search results for , issue "Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi" : 35 Documents clear
Perfume Sales Application using the Economic Order Quantity (EOQ) Method Syafriani, Dini; Suendri, Suendri
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3929

Abstract

Computer systems are currently needed by many companies. The stock of goods owned by the company also needs to be considered. Maju Jaya Parfum in its sales can be higher or lower depending on the request of each seller, as a result, several difficulties and errors arise in recording reports on purchases and inventory of goods. Therefore, inventory management is very necessary to avoid circumstances that are detrimental to the company which can cause considerable expenses for the company. System development in this study uses the Waterfall model and the research method used is the R&D method, then the algorithm used is Economic Order Quantity (EOQ). The results showed that the existence of this system can display the ordering process, transactions of incoming goods and outgoing goods digitally instead of manually and be able to help Maju jaya perfume in overcoming the amount of perfume stock needed to be more effective and efficient.
IT Governance Information System Audit Analysis using COBIT 4.1 Framework by measuring Maturity Level Nurfadhiilah, Annisa; Faharuddin, Fadhli; Jumaryadi, Yuwan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.2825

Abstract

Appropriate Information Technology governance is needed to measure Information Technology involvement. The Information Technology governance used in analyzing audits is the COBIT 4.1 framework, so that analyzing audits can be carried out in accordance with the standard provisions that have been established in this work framework. This research utilizes qualitative methods in the data collection process at PT. Expressindo System Network. Based on the results of the research conducted, it is known that the DS domain as a whole is at level 3, this means that the company is at the stage where it can carry out the procedures that have been determined. Apart from the DS domain, domains PO02, PO03, PO04, PO05, PO06, PO07, PO08, AI01, AI02, AI04, AI05, AI06, AI07, and ME01 are at maturity level 3. However, domains PO10, AI03, ME04 are at level 2 of the maturity level, where the company still needs to carry out training and development. The results of this research will determine the maturity level of the company and provide an evaluation in accordance with the COBIT 4.1 framework standards.
Analysis of Music Features and Song Popularity Trends on Spotify Using K-Means and CRISP-DM Marlia, Sari; Setiawan, Kiki; Juliane, Christina
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3757

Abstract

Spotify, known as one of the best music streaming platforms, has played an important role in changing how listeners access, enjoy and interact with music. With millions of songs and extensive user data, Spotify provides an opportunity to understand listener behavior and the factors that contribute to a song's success and popularity. This research aims to examine the relationship between music features and the popularity of songs on the Spotify music platform by analyzing SSE values, Euclidean distance values, and cluster center values on the dataset attributes loudness, danceability, and energy. The framework used in this research is CRISP-DM (Cross-Industry Standard Process for Data Mining). The K-Means clustering algorithm and the Weka data mining application are used to decipher the features that influence the success and popularity of songs on Spotify. The research results show that groups/clusters 1, 2, and 3 are groups/clusters with songs that have high, medium, and low loudness, danceability, and energy respectively. Popular songs on Spotify are currently increasingly focused on loudness, danceability, and energy with a prominent trend, namely songs with high loudness, danceability, and energy are becoming more popular, while songs with low loudness, danceability, and energy are becoming less popular.
The Use of E-CRM in Controlling and Developing Sales Systems for Cosmetik Stores Success Together Andriani, Asih; Nofriadi, Nofriadi; Santoso, Santoso
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.4033

Abstract

Toko Cosmetik Sukses Bersama is an individually owned small business store that has been established since 2021. The brands of cosmetic products marketed include Hanasui, Wardah, Emina, Implora, Pixy, Kahf, Ms Glow, and OMG. Cosmetics are used to enhance physical appearance and have a positive impact on a person's self-confidence. In the last period of time, the large number of competition in marketing cosmetic products that occurred made the store's sales experience a decline in sales which resulted in a decrease in revenue. Making sales reports at Toko Cosmetik Sukses Bersama is still done by bookkeeping which allows recording errors. Shop owners still visit small shops directly or receive orders via phone calls. Therefore, the use of E-CRM strategies will provide convenience for customers and sales. By doing 3 CRM strategy efforts such as Acuiring (Getting Customers), Enchancing (Strengthening Relationships), Retaining (Maintaining Customers). So that by implementing the E-CRM strategy at Toko Cosmetik Sukses Bersama can increase cosmetic sales and bring in new customers.
Analysis of Fuzzy Mamdani Implementation in Decision Making of Agricultural Plant Types for Farmers Wulandari, Wulandari; Makmur, Haerunnisya; Surianto, Dewi Fatmarani
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3612

Abstract

Agriculture is one of the sectors that plays an important role in the national economic development of Indonesia. The growth of the agricultural sector is heavily influenced by the results of the agricultural production itself, where one of the factors that significantly impacts agricultural production results is climate change because each plant requires different climate and weather conditions to grow. Choosing the right type of plant based on climate and weather conditions is essential to ensure that the plants can grow optimally, thereby helping farmers in avoiding losses, such as crop failure. The selection of agricultural plant types was carried out using fuzzy Mamdani method. The recommended types of plants are categorized into three groups using fuzzy C-Means method. From one of the calculations, the result showed that if the temperature is 20 °C, rainfall is 300 mm, and the duration of sunlight is 6 hours, then the recommended result is plant group 1 which consists of green beans, spinach, mustard greens, chili, corn, and pumpkin.

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