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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 1,011 Documents
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Requirements Engineering for Integrated Social Assistance Distribution Information Systems Using a Microservices Architecture Approach Angelini, Siski; Bangkalang, Dwi Hosanna
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.4140

Abstract

Distribution of social aid on target is important to help the welfare of people in need. In Bugel Subdistrict, Salatiga, this distribution has several problems, namely, data discrepancies, the application process is not transparent, and there is no distribution monitoring, resulting in social assistance recipients not being on target and affecting decisions on providing assistance for the next period. Therefore, a social assistance distribution information system is needed to assist in managing integrated data collection and monitoring distribution and application status. The information system requirements engineering method uses the system engineering life cycle method developed by Alexander Kossiakoff with a focus on the concept development stage. This research aims to identify the initial needs for a data management information system for social assistance recipients by producing a distribution of coordinate points as well as new distribution and submission monitoring features using a microservices architecture approach and visualizing with a design display using mobile first design technology referring to a responsive mobile display, containing detailed information, images , location routes to improve the performance of social assistance administrators with real-time data access
Creating Android-based System Aiding Tebuireng Waste Bank Management using Looker Studio sukmo, guruh; Wira Ghani, Sulung Rahmawan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3960

Abstract

Due to the growing influx of visitors in the Tebuireng area, there has been a substantial rise in the accumulation of waste. Bank Sampah Tebuireng (BST) has been established as a concrete effort to address the negative consequences arising from the increasing accumulation of waste. However, the BST still relies on manual data management, which is prone to errors and lacks efficiency. Therefore, the development of an efficient and effective information system becomes crucial. This research aimed to develop an Android-based information system using Kodular and utilize Looker Studio for dashboard visualization for waste bank management in the Tebuireng area. The development methodology included requirement analysis, system design, implementation, and testing. The Android-based information system encompassed features such as transportation, sorting, waste sales, as well as data reporting and analysis. Users could access this system through a user-friendly Android application. Data visualization using Looker Studio displayed interactive graphs, diagrams, and tables for monitoring and analyzing waste bank management data in Tebuireng. The system testing involved evaluation through black box testing. This research has created a user-friendly Android system for Bank Sampah Tebuireng. The system streamlines waste transportation, sorting, and sales processes. Furthermore, this research utilizes Looker Studio for data visualization and interactive reporting, making it user-friendly for day-to-day use and an effective tool for waste management data analysis. Keywords: Bank Sampah Tebuireng, Android, Kodular, Looker Studio, Black Box Testing.
Sistem Rekomendasi Pengadaan Bahan Material Perusahaan Pengembang Properti Menggunakan Metode ARIMA dan AHP Hasyim Asy'ari; Endang Setyati; Suhatati Tjandra
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): 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.v12i2.2874

Abstract

This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the supplier's distance to the project location, delivery speed, suitability orders, good quality materials and affordable prices. The method used to estimate the quantity of material procurement in maintaining the availability of material stock in the warehouse is the Auto Regressive Moving Average (ARIMA) method and the Analytical Hierarchy Process (AHP) as a method for determining material suppliers. The results of this study indicate that the average percentage of forecasting errors is 6.1%. As for the selection of material suppliers, the AHP method can recommend which suppliers are eligible to be selected based on predetermined criteria, then the results are sorted based on the highest ranking.
Web-Based Decision Support System for Best Employee Selection in Government Institutions using Analytical Hierarchy Process (AHP) Method Prapto, Dwi Atmodjo Wismono; Sipahutar, Rosen; Purwaningsih, Mardiana
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.2796

Abstract

Government institutions are often constrained when making decisions regarding selecting the best employees due to the unavailability of an adequate decision support system. In fact, with this system, determining the best employees can be done easily and quickly. One method that can be used is the Analytical Hierarchy Process (AHP) which supports multi-criteria selection. This web-based decision support system designed has six criteria. From the calculation results of the priority weight value for each standard, the Court Punishment criteria have the highest priority value compared to other measures. Thus the requirements for this Court Punishment will be the primary consideration in calculating the value of outstanding employees. These criteria are then used for the simulation of 10 ministry employees. The simulation results show that the designed AHP technique is proven to prepare data for high achieving employee candidates accurately.
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.
Comparison of XGboost, Extra Trees, and LightGBM with SMOTE for Fetal Health Classification Kartika Handayani; Badariatul Lailiah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3646

Abstract

Cardiotocography (CTG) is widely used by obstetricians to physically access the condition of the fetus during pregnancy. This can provide data to the obstetrician about fetal heart measurements and uterine duration which helps determine whether the fetus is pathological or not. Determining the pathological classification or not can be done using machine learning methods. In this research, there is a problem of unbalanced data or data imbalance. To overcome data instability, testing using SMOTE is used. Then a comparison was made with the classifications, namely XGboost, Extra Trees and LightGBM. XGboost, Extra Trees and LightGBM testing results using SMOTE obtained the best results at 91.52% accuracy, 90.49% recall and 89.12% f1-score produced by LightGBM. Meanwhile, the best results were 89.07% precision and AUC 0.9800 produced by Extra Trees.
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.
Sentiment Analysis of pegipegi.com Review on Google Play Store with Naïve Bayes Balit, Muhamad Naufal Burhanuddin; Utomo, Fandy Setyo
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3913

Abstract

In the current era, a shift in consumer behavior is evident in the use of online platforms for booking tickets, involving various services such as flights, hotels, trains, buses, and entertainment. PegiPegi.com, as a rapidly growing online travel agent in Indonesia, demonstrates success by understanding the value of technology and maintaining strong partnerships. This phenomenon also impacts sentiment analysis, where users of this platform often provide reviews. This research aims to apply the Naïve Bayes classification method in sentiment analysis of PegiPegi.com reviews, focusing on understanding customer satisfaction and service improvement. By combining these approaches, the study contributes to a deeper understanding of user responses to OTA services and presents the evaluation results of the Multinomial Naive Bayes classification model with an accuracy rate of 89.5%. The high precision in the Negative class indicates the model's ability to identify negative reviews. However, there are challenges in classifying the Neutral class, suggesting potential for further improvement. Nevertheless, the F1-score of 0.522 reflects a good balance between overall precision and recall.
Implementation of the Levenshtein Distance Algorithm and the Regular Search Expression Method for Detecting Typors in Javascript Mu’alif Lihawa; Anggit Dwi Hartanto; Norhikmah Norhikmah; Donni Prabowo; Ika Nur Fajri; Wiwi Widayani
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): 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.v12i2.2795

Abstract

Typing is an activity to write an article in printed form that has been assembled by a typewriter. With the rapid development of the times, typewriters were replaced by computers because they were efficient in making writing or text. a text or writing that is easy to understand in conveying information does not have word mistakes that result in unclear information being conveyed. In word processing applications such as Microsoft Office Word, it has the word suggestions and autocorrect word features which are very useful in checking an article where there are word errors in the writing. This research develops a javascript library to detect typo errors for writing wrong words and recommends the right words to change the wrong words. This study uses the Levenshtein Distance Algorithm and the Regular Search Expression method. The results of this study were successfully applied to the word recommendation feature in the library with an accuracy value of 50% and a precision level of 5%.
Improvement of KNN Collaborative Filtering Model in User-based Approach on Anime Recommendation System Vynska Amalia Permadi; Rezky Putratama Raharjo
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): 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.v12i2.2473

Abstract

This research aims to resolve the challenge of finding the list of recommendations that correspond to user preferences. The MyAnimeList dataset is utilized for model evaluation, accessible via Kaggle website. The outcome of this study is the development of a recommendation system based on the preferences of other users (user-based model). The suggested solution employs a collaborative filtering model based on the KNN algorithm and weighted attribute. The dataset consisted of 193,272 user ratings on anime, with the following attributes: username, anime_id, my_score, and my_status. As an extension of the KNN collaborative filtering paradigm, the rating value is weighted based on the user’s status. The determination of the weight is based on the responses of 105 respondents to a questionnaire. my_score and my_status values will be combined and adjusted using MinMaxNormalization in addition to being weighted. This work implemented the KNN algorithm with the following k parameter values: 3, 5, 9, 15, 23, 33, and 45. Variations in parameters are utilized to determine the optimal k value to employ in KNN, which uses the Pearson similarity matrix to calculate user similarity values. The model evaluation indicate that the optimal Mean Absolute Error and Root Mean Square Error values at parameter k = 5 are 0.14726 and 0.19855, respectively. This improved model’s findings further demonstrate that KNN collaborative filtering with an additional weighted parameter can predict ratings with stable and generally low error values for all k values.

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