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Smatika Jurnal : STIKI Informatika Jurnal
Published by Universitas Bhinneka Nusantara
ISSN : 20870256     EISSN : 25806939     DOI : https://doi.org/10.32664/smatika
Core Subject : Science,
Computer Science & IT
SMATIKA: STIKI Informatika Jurnal is a journal published by Lembaga Penelitian & Pengabdian kepada Masyarakat (LPPM) of Universitas Bhinneka Nusantara Malang. The scope of this journal in the field of Computer Science, Information Systems, and Information Management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 258 Documents
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Model Sistem Cerdas untuk Rekomendasi Market Matching Negara Tujuan Ekspor bagi UMKM Eka Yuniar; Weda Adistianaya Dewa; Fakhruddin Arozi; Ahmad Mihdan Advani
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.943

Abstract

Export is one way to improve the performance and growth of the MSME business. However, entering the export market is not as easy as one might think. MSMEs have to consider many factors such as regulatory requirements of the destination country, consumer preferences, and competition with local producers in the destination country. In addition, some of the obstacles to the export of MSME products are slow product turnover in importing countries because product stocks do not sell out immediately in these countries and sometimes reach the expiration date. The number of Indonesian MSMEs has reached 65.5 million, which is the largest in ASEAN countries. In addition, the contribution of MSMEs is recorded at around 61% of the national PDP and absorbs 97% of the total workforce in 2021. To assist MSMEs in choosing export destination countries, an intelligent system is needed that can recommend the right destination countries based on the characteristics of MSME products. As for how to determine the Export Destination country by using one of them based on the Trademap site. The urgency of this research aims to build an intelligent system model based on machine learning using the KNN method to recommend the right export destination countries for MSMEs. This machine learning-based intelligent system model is expected to be one of the solutions for MSMEs to effectively expand their markets abroad. This research is also expected to contribute to the development of an intelligent system that can assist MSMEs in choosing the right export destination countries and increasing export effectiveness. The results showed an accuracy rate of 99%, with a precision level of 100%, 100% recall, 100% f1-score.
Penerapan Algoritma K-Means untuk Klasterisasi Produksi Tanaman Perkebunan di Indonesia Reda Maulidina; Suastika Yulia Riska
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.991

Abstract

Plantation crop production is one of the main sectors in increasing people's income. Data on plantation products held by the Central Statistics Agency (BPS) is in the form of raw data, namely the production results of each province each year. This makes it quite difficult for the government to identify provinces that have the potential to produce crops. By clustering plantation crop production results, it will be easier for the government to identify provinces that have the potential to produce plantation crops. In this research there were 3 plantation crop production, namely coconut, coffee and cocoa. The data used is data for 2017 – 2021 which consists of 29 provinces. From the 3 plantation crop production, the data was collected using the K-Means Algorithm Data Mining technique. The results of this research are groupings which are divided into 2 clusters obtained from the Sum of Squared Error (SSE) calculation with a minimum value of 279261.63, namely low production and large production. Based on the results of the K-Means Algorithm calculations, it was found that coconut production had a small production cluster of 24 provinces, a large cluster of 5 provinces, for coffee a small production cluster of 23 provinces was obtained, a large production cluster was 6 provinces, and for cocoa a small production cluster was obtained of 23 provinces. , a cluster of 6 provinces.
Penerapan Metode Forward Chaining Pada Sistem Pakar Diagnosa Penyakit Ayam Ternak Ahmad Januar Amriyansah; Heni Sulistiani; Riska Amalia
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1001

Abstract

One of the most serious problems faced by chicken farmers is chicken disease. Chicken diseases can be diagnosed by identifying the symptoms that appear and also consulting with an expert. However, this method requires a long time and is quite expensive. Therefore, this research aims to implement the forward chaining method in an expert system to help chicken farmers in diagnosing chicken diseases online. This expert system was developed using the PHP programming language and MySQL database. This expert system also provides treatment guidelines that are in accordance with the diagnosed disease. The expert system was tested using 33 symptoms and 10 common chicken diseases. The test results show that this expert system can diagnose chicken diseases with high accuracy and provide diagnosis results directly through a web browser. This expert system can also improve users' understanding of website creation and chicken diseases.
Implementasi Teknologi Augmented Reality Dalam Pembelajaran Tajwid Kelas 5 Pada Hukum Bacaan Mim Sukun Dan Tanwin Berbasis MDA Framework Faisal Reza Pradhana; Triana Harmini; Hanifa Ramadhani Ayuningrum S
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.1002

Abstract

Tajwid learning at SD Birrul Walidain Muhammadiyah Sragen currently relies in person or Direct interaction between educators and learners, using textbooks as the primary source of material. However, the results of observations revealed that there were weaknesses in the methods currently used, especially in learning the science of recitation, where from the results of the pretest carried out on students, 79.41% of them got a score below 50 (grade scale 1-100). This research aims to design a learning application for the rules of reading "MIM sukun" and "tanwin" using Augmented Reality technology based on Android. The application contains material taken from the Tajwid book "Anshorul Qur'an." The design of the learning media takes the form of an Augmented Reality-based game, utilizing the Mechanics, Dynamics, and Aesthetics (MDA) Framework, with the design process following phases of the Software Development Life Cycle (SDLC), often referred to as the waterfall method. The research has resulted in an application called "Mahwid," which provides explanations and examples of readings for each rule of "MIM sukun" and "tanwin" in three-dimensional format. The application is developed using Android-based Augmented Reality technology, with a minimum requirement of Android version 8.0. Application testing involves black box testing, indicating the smooth operation of the application, as well as acceptability and compatibility testing, demonstrating that the application functions well on Android devices with a version of 8.0 and above. Testing has also been conducted with content experts, achieving a result of 93%, media experts at 91%, and 34 users reporting a satisfaction rate of 94%. With the positive conclusion of these tests, the application is considered suitable and appropriate for use as a learning tool in memorizing the Tajwid of the Qur'an.
Komparasi Metode Case Based Reasoning dan Certainty Factor Kasus Penyakit Gigi Mulut Suryo Atmojo; Ruli Utami; Suzana Dewi; Nurwahyudi Widhiyanta
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.1016

Abstract

Dental and oral disease is one of the diseases that has a serious impact on human health in general, because the teeth and mouth are the initial entry for germs and bacteria. Many people underestimate this disease so that treatment is carried out when the condition is severe. Dental and oral health also affects overall health. Therefore, it is important to check your teeth and mouth regularly. The Certainty Factor and Case Based Reasoning methods are used to diagnose website-based dental and oral diseases. This research will create a website-based dental and oral disease expert system that aims to make it easier for users to diagnose dental and oral diseases. The results of this study reveal that dental and oral diseases are classified into twenty types with ninety symptoms, and each of the two methods has a different level of speed and accuracy. However, each method also has its own advantages and disadvantages, the results of the diagnosis of the Certainty Factor method are 0.20 to 0.30 seconds faster in providing diagnostic results compared to the Case Based Reasoning method and the Certainty Factor method also has superior accuracy results of 84% while the Case Based Reasoning produces 51% accuracy
Prediksi Loyalitas Pelanggan Pada Fast Moving Consumer Goods Menggunakan Klasifikasi Metode C4.5 Laila Isyriyah; Imam Baihaqi; Febry Eka Purwiantono
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.1115

Abstract

Instant noodles are one of the food products from the Fast Moving Customer Goods (FMCG) industry which is a fairly large industry in Indonesia. However, competition is inevitable. So to win the competition from other companies, company management is required to determine a strategi to maintain customer loyalty. Therefore, the purpose of this study is to create an application to predict customer loyalty and determine the influential attributes by applying Data Mining Classification in the form of a desicion tree. The application method used in Classification for prediction is the C4.5 method. In the C4.5 algorithm, entropy and information gain are calculated where customer loyalty is the attribute of destination (class), while price, packaging, taste, cariety, advertising, distribution, and quality are the source attributes to obtain the root node and other nodes. The results of the study show that the application using the C4.5 method produces an accuracy of 95.5%, so the C4.5 method can be used to assist the management of instant noodle companies in order to determine strategies to maintain consumer loyalty.
Sistem Informasi Inventaris Barang Di UPTD Puskesmas Kemlagi Menggunakan Metode Waterfall Rafi Fakhruddin Rizaldi; Suhendro Busono; Arif Senja Fitrani
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1128

Abstract

This research is motivated by rapid developments in technology and science which have a positive impact on society. UPTD Puskesmas Kemlagi, as a public health institution, faces challenges in managing inventory using manual methods and MS Excel. The aim of this research is to make it easier to monitor, maintain and analyze item acceptance by utilizing the Waterfall software development approach. Black box testing is a research approach used to assess the functionality and performance of an inventory information system being developed. The research results show that the existence of an inventory information system has succeeded in helping employees carry out their duties more easily and comfortably. The implementation of the Waterfall method has proven to be effective in increasing efficiency and performance, responding to the challenges faced by the UPTD Puskesmas Kemlagi, and making a positive contribution to the management of inventory at the health institution.
Aplikasi Keamanan Berkas dengan Enkripsi AES dan Biometrik Sidik Jari Berbasis Android Habib Husain Amirullah; Ade Eviyanti; Sumarno Sumarno
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1130

Abstract

Data security in the current digital era has become critically important. Data and digital document thefts continue to occur, with an average cost of $3.86 million due to data breaches in 2018. To tackle this challenge, cryptography, particularly encryption, has become a key element in maintaining data confidentiality and integrity. The Advanced Encryption Standard (AES) has become the global standard for preserving data confidentiality by transforming data into a form that is difficult to decipher without the correct key. However, AES security relies heavily on the strength of the key used, posing risks of weak keys and potential negligence. This research aims to address these issues by combining AES-128 as the encryption algorithm and fingerprint-based authentication to enhance security access. The use of fingerprint biometric verification provides a user-friendly layer of security. The application was tested using Automated Testing, which is a method for testing a system using a series of scripts. The test results demonstrate that by combining the latest encryption technology and biometric authentication, this research successfully developed an application capable of encrypting data using the AES algorithm and integrating it with BiometricPrompt. The outcome is an improved level of data security in this digital era.
Aplikasi Pembelajaran Pengenalan Nama Pahlawan Menggunakan Algoritma Fisher-Yates Muhammad Aldito Ardiansyah; R. M. Nasrul Halim
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1147

Abstract

Application of technology in learning activities is the right decision, because most children have a great sense of curiosity, such as curiosity about heroes. Heroes are historical figures who contribute to the development of nations and countries. A use of technology that can be used is a learning application and is generally made in the form of quiz games. Quiz games are games that are played by answering existing questions. The questions were randomly selected using the Fisher-Yates algorithm. The Fisher-Yates algorithm is a calculation by creating random variations of existing sets. The Multimedia Development Life Cycle method is employed in this research as it is suitable for building multimedia application systems. In this development, the test stage uses the black box testing method. Based on the research results and the development process, it can be concluded that the application of the Fisher-Yates algorithm can run well in randomizing questions based on the results of 15 trial tests. And according to the black box testing results, it indicates that the created application can be used properly.
Halaman Depan SMATIKA Journal Volume 13 Number 02, Desember 2023 Siti Aminah
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.1148

Abstract

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