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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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UI/UX Development of Mobile-based Palembang-Indonesia Dictionary application using Design Thinking Method Indah Sari, Ayu Puspita; Ramdhani, Muhammad Iqbal; Andri, Andri; Oktariansyah, Haris; Mawarni, Mawarni; Novita, Dinda
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (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.v13i1.3605

Abstract

This research aims to develop an optimal User Interface (UI) and User Experience (UX) in a Palembang-Indonesian dictionary mobile application using the Design Thinking method. The background of this study is grounded in the significance of a well-designed UI/UX in enhancing the usability and attractiveness of dictionary applications. Through a literature review, this research analyzes relevant design concepts and principles, and identifies challenges in the development of UI/UX for dictionary applications. The research methodology involves the stages of Design Thinking, encompassing user understanding, problem definition, solution exploration, prototype creation, and testing. The outcomes of this research encompass the development of a more intuitive, efficient, and user-centered UI/UX for the dictionary application. The findings of this research can serve as a guideline for the development of mobile-based dictionary applications, ensuring a favorable user experience. It is expected that this research will make a valuable contribution to the fields of UI/UX and dictionary application development, enhancing accessibility and the quality of dictionary applications for Palembang-Indonesian language users.
Optimizing the Profile Matching Algorithm using the Analytical Hierarchy Process in the Selection of Teaching Assistants Helmawati, Nita; Norhikmah, Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (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.v12i3.3172

Abstract

The selection of the best practicum assistants is traditionally done through a conventional method, which involves voting by active students attending lab classes. However, upon evaluation, it was found that the results were not accurate. Some cases revealed that assistants were chosen based solely on popularity or recognition among the students, possibly influenced by physical appearance or public speaking skills in front of the class, while other important aspects were not considered. This situation could lead to social jealousy. The problem lies in the difficulty of combining evaluation criteria and determining the relative weights for each criterion in the process of selecting the best practicum assistants at the college. Additionally, there is a lack of objectivity in decision-making during the selection process, resulting in an unstructured and immature decision-making process. Therefore, this research aims to enhance the process of selecting the best practicum assistants at the college through optimizing the profile matching algorithm using the Analytic Hierarchy Process (AHP) method. AHP's role involves checking the weights and making paired comparisons to evaluate each criterion and determine the criterion weights. AHP is also utilized to ensure consistency in determining the weights. On the other hand, the role of profile matching is to provide accurate rankings or comparisons based on the suitability scores between the profiles of potential assistants and the reference profile. The combination of these two algorithms is expected to result in a more accurate selection of practicum assistants by effectively measuring the decision criteria weights. Therefore, the difficulty of combining evaluation criteria and determining the relative weights for each criterion can be minimized. Furthermore, optimizing the profile matching algorithm will enable a more objective decision-making process for selecting the best practicum assistants through more accurate rankings or comparisons based on the suitability scores with the reference profile. Based on this optimization, the collaboration of the two algorithms can achieve comparison results with an accuracy rate of 90%.
Nighttime Image Enhancement: A Review of Topical Concepts Basheer, Ola; Al-Ameen, Zohair
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.v13i3.3938

Abstract

With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past decades by introducing many methods, each of which uses different techniques to enhance the quality of such images that have many degradations, such as poor illumination, uneven lighting, low contrast, widespread noise, and unnatural colors. This paper reviews twelve modern-day algorithms that can be used to enhance nighttime images by presenting the concepts, work mechanisms, processing abilities, and performance evaluations for each algorithm. Likewise, these algorithms are evaluated using three metrics with their processing times, and the advantages and disadvantages of each algorithm are given. Such a review can help researchers understand which concepts to select for development, which drawbacks to avoid when developing an algorithm in this field, and what the currently available concepts are.
Sentiment Analysis on WeTV App Reviews on Google Play Store Using NBC and SVM Algorithms Petronilia Palinggik Allorerung; Rismayani Rismayani
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.v12i2.2518

Abstract

Since the Covid-19 outbreak hit Indonesia, all community activities have become very limited. The government's decision regarding PPKM to reduce the level of Covid-19 cases forced the community to reduce the level of activities outside the home including work. One activity that has recently been popular with the public is watching movies through the online streaming service available on the Google Play Store. Applications with high total downloads and ratings show people's interest in the application. The WeTV online streaming service is an application that has high downloads and ratings on the Google Play Store. This service provides various types of content from various countries. However, the WeTV application also has drawbacks that can be seen in the reviews from users. Based on this, research was conducted on the classification of positive and negative sentiments from WeTV application users. There are two classification algorithms implemented, namely Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM). Apart from classifying positive and negative reviews, this sentiment analysis also aims to compare the performance of the two algorithms. The total data used is 100 data. After conducting sentiment analysis, it was concluded that the SVM classification method was the best classification method in this study with 80.00% accuracy, 80.00% precision, and 80.00% recall.
Integration of Social Media in Website Based School Information System Hidayatulloh, Nur Wachid; Dellia, Prita
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (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.v12i3.2979

Abstract

Information systems and social media are a form of rapid development in the era of society 5.0. Both of these can be used in an agency in disseminating information and can be used as promotional media. One institution that is very closely related to this is an educational institution. An existing educational institution has used social media and a website-based information system. SMK PGRI 1 Bangkalan is one of the vocational schools in Bangkalan Regency which does not yet have a website and social media accounts to disseminate information. A website-based social media integrated information system is one of the recommendations in solving this problem. This study uses the waterfall research model in developing the system. The results of this research are a website-based school information system that is integrated with social media, namely WhatsApp and Instagram. In addition, the website that has been created also meets several quality aspects of ISO 25010, namely functional suitability which gets a percentage of 100% and is declared very good, portability which gets a percentage of 100% and is declared very good, performance efficiency which has an average speed of 1,193 which fall into the very good category, and the usability aspect which gets a percentage of 90% and is declared very feasible.
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier Zulfikri, Muhammad; Kusuma, Wirajaya; Hadi, Sirojul; Husain, Husain; Hammad, Rifqi; Mardedi, Lalu Zazuli Azhar
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.v13i3.3921

Abstract

Driving at high speed and recklessly is the main cause of traffic accidents. In several places speed bumps are installed as a medium to warn drivers to slow down the speed of the vehicle, but the installation of speed bumps in several places has become a problem in itself with inconvenience for drivers traveling at low speeds, so it is necessary to develop an intelligent system to warn drivers when speeding. vehicles break safety boundaries, making drivers safer and more comfortable. At the vehicle identification stage, a combination of the Adaptive Background Subtraction method with the Haar Cascade Classifier is proposed, and vehicle speed estimation is carried out by calculating the time difference in the detection area or Region of Interest (ROI). Testing was carried out using traffic videos with three conditions, namely day, evening and night, with each condition using the same object data, namely 55 images of car objects. The proposed method produces car detection accuracy with an average of 85% and MSE 0.5 in vehicle speed measurements.
Implementing QR Codes on Student ID for Transactions: TAM Testing Approach Noviany, Caroline; Daniawan, Benny; Suwitno, Suwitno
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.v13i3.3922

Abstract

The rapid advancement of technology has had a significant impact on contemporary life. One of the technologies commonly encountered is the Quick Response Code (QR-Code) and Barcode, both of which serve a similar function, that is, to store information represented in the form of squares and lines. Three squares at the corners of the QR-Code are key to ensuring accurate scanning. Universities are educational institutions that provide Student ID Cards as a means of student identification. This research aims to design a transaction system by utilizing QR-Code technology on Student ID Cards for parking and library transactions, as well as creating a transaction system using digitized Student ID Cards. This study employs the Technology Acceptance Model (TAM) testing method to measure the factors influencing users in utilizing the application. The system design successfully incorporates QR-Codes and can be used as a transaction tool. The TAM testing results from 75 respondents regarding system acceptance conclude that the Perceived Ease of Use (PEOU) variable will influence the Perceived Usefulness (PU) variable by 67.4% and affect the Behavioral Toward Using (BITU) variable by 55.1%.
Application of CRM in Improving Sales Strategy at Second Branded Fashionable Stores Classy Range Hasana, Dina Nur; Irianto, Irianto; Marpaung, Nasrun
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.v13i2.4026

Abstract

Second branded fashionable classy range engaged in fashion thrifting clothing that sells a variety of thrifting clothing such as imported tops, pants, dresses, children's clothing and tunics. Thrifting clothes are second brand clothes that are still very feasible to resell or use, thrifting activities are very much in demand, especially teenagers because the prices are relatively cheap and affordable, making an attraction for teenagers. It is unfortunate that in the second year of the second branded fashionable classy range store experienced a decline in sales, so something is needed that can help increase sales and marketing. With the research conducted, the author produces a change that can help in the marketing and service process by creating a web-based information system with the help of application programs such as PHP and MySQL that combine CRM (Customer Relationship Management) strategies. CRM is a business strategy that focuses on good relationships with customers and companies, in designing the system also used 3 phases contained in CRM, namely customer acquisition, customer maintenance and customer development.
Evaluation of SIMKES at Puskesmas Kwamki Lama Mimika Using the HOT-FIT Method Betesda Feronika Lumbanraja; Penidas Fiodinggo Tanaem
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.v12i2.2897

Abstract

This research was conducted with the aim of assessing or assessing the level of success of an information system used, namely the Health Management Information System or known as SIMKES in supporting the service process at the Kwamki Lama Mimika Health Center. This information system is still relatively new in its implementation, namely since the end of September 2022 and there has not been an evaluation related to this system for the puskesmas kwamki. This research uses the Human, Organization, Technology and Net Benefit (HOT-Fit) model approach because it focuses more on several important aspects by distributing questionnaires to all employees of the puskesmas kwamki who access SIMKES directly. The results obtained from the average value of each indicator for system users 3.90 (Good), organizational structure 4.11 (Good), system quality 3.74 (Good), information quality 4.15 (Good), quality service 3.85 (Good), and benefits 4.11 (Good). So that the overall SIMKES score obtained was 3.98 (Good). Based on this, it is known that the success rate of SIMKES is good in helping the service process.
Air Quality Index Classification for Imbalanced Data using Machine Learning Approach Jayadi, Bryan Valentino; Lauro, Manatap Dolok; Rusdi, Zyad; Handhayani, Teny
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.v13i3.3503

Abstract

Air pollution is one of the problems in society. Air pollutions affect human health and environment. In Indonesia, air quality index is measured by the level of particulate matter 10 (PM10), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), and nitrogen dioxide (NO2). This research is conducted to evaluate the performance of machine learning algorithms, e.g., Support Vector Machine (SVM), Naïve Bayes, Logistic Regression, Decision Tree, and AdaBoost, to classify air quality index based on the level of PM10, CO, SO2, O3, and NO2 with imbalanced samples. The air quality index is classified into Good, Moderate, and Unhealthy. The dataset is downloaded from Open Data Jakarta from 2010 -2021. The data containing 4383 samples consist of 1155 samples of Good, 3087 samples of Moderate, and 141 samples of Unhealthy. The experimental results show that Decision Tree outperforms other methods. Decision Tree produces accuracy, precision, recall, and F1-score of 99%, 98%, 99%, and 98%, respectively.

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