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INDONESIA
Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Published by STMIK Indonesia Banda Aceh
ISSN : 27768074     EISSN : 27237079     DOI : https://doi.org/10.35870/jimik
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science
Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia. The journal serves as a platform for researchers, academicians, practitioners, and policymakers to share their insights, knowledge, and expertise in these domains. This journal is a peer-reviewed online journal dedicated to high-quality research publications focused on research, implementation. Jurnal Indonesia: Manajemen Informatika dan Komunikasi is a scholarly publication dedicated to advancing the fields of information technology and communication management in Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 684 Documents
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KLASIFIKASI KETEPATAN KELULUSAN SISWA PADA SMK YADIKA 9 BINTARA JAYA KOTA BEKASI MENGGUNAKAN ALGORITMA C4.5 Lestari, Sri; Dina, Bela
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.389

Abstract

Education is the learning of knowledge, skills, and habits of a group of people passed from one generation to the next through teaching, training, or research. SMK Yadika 9 Bintara Jaya Bekasi City is one of the private vocational schools, However, along the way, there are still problems that occur every year, namely the problem of the right number of student graduations and late. The number of students who graduate on time is an indicator of the effectiveness of a vocational school both public and private. SMK needs to detect the behavior of active students so that factors that cause students not to graduate on time can be seen. Data collection using techniques in the form of interviews and observations, in this study is related to systematic literature review to find predictive modeling using data mining classification methods. Data mining classification in determining the accuracy of student graduation with the CRISP-DM testing method. The results of this study resulted that the C4.5 algorithm is the most optimal method of performance in determining the graduation accuracy classification of students of SMK Yadika 9 Bintara Jaya Bekasi City.
IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN UNTUK MENGETAHUI POLA PEMBELIAN KONSUMEN PADA KOPERASI IDN BOARDING SCHOOL Abdullah; Setiawan, Kiki
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.390

Abstract

School cooperatives are established to fulfill common interests and meet the needs of students. The transaction data of a cooperative is increasing day by day, but sometimes in a cooperative the data is left without any further utilization, as happened in the IDN Boarding School Jonggol cooperative. Utilization of the collected data can produce new information that can be used as a reference for cooperatives in determining a business strategy. Therefore, research was conducted on sales transaction data in the IDN Boarding School cooperative as an object to be analyzed using data mining techniques with an a priori algorithm, resulting in a pattern of consumer purchases that occur in the Jonggol IDN Boarding School cooperative. The transaction data used is transaction data at the IDN Boarding School cooperative. This study succeeded in implementing data mining techniques using the a priori algorithm in an application that will be used to process available transaction data, resulting in consumer purchasing patterns that tend to occur from a combination of available items. The association pattern that is formed with a minimum support of 40% and a minimum confidence value of 70% produces 9 association rules. The strong rule obtained is that if you buy a white uniform, you will buy a brown uniform with a support value of 50% and a confidence value of 83.33% items.
KLASIFIKASI PEMANFAATAN OPEN SOURCE RESOURCE PADA MULTI-EDGE COMPUTING DENGAN JARINGAN PRIVATE 5G YANG BERKUALITAS DAN LOW LATENCY MENGGUNAKAN TEKNOLOGI NETWORK SLICING Prasetiyo, Oka; Akbar, Yuma
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.391

Abstract

Multi-edge computing is one of the technologies that allows data processing to be performed at the edge of the network, thereby reducing latency and speeding up overall data processing. On the other hand, 5G private networks with high quality and low latency enable fast and stable data transmission. However, in implementing multi-edge computing technology with 5G private networks, it is necessary to use the right open source resources to support its success at a lower investment cost. This thesis aims to classify the utilization of open source resources in multi-edge computing technology with quality and low latency 5G private networks using network slicing technology. The development methodology includes literature study, system development, data collection, data analysis, and system performance evaluation implemented on top of type 2 hypervisor virtualization on Virtualbox. The results of this thesis are expected to show that there are several open source resources that can be used in multi-edge computing technology with 5G private networks, such as Open5gs, Kubernetes, Virtualbox, so as to form a network with low latency and low cost.
PENERAPAN ALGORITMA K-MEANS UNTUK ANALISIS NILAI TAHFIDZ SANTRI BERDASARKAN NILAI FASHOHAH DAN TAJWID (STUDI KASUS : PESANTREN MODERN AT-TAQWA BOGOR) Najib, Muhammad Alfin; Rasiban
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.392

Abstract

Modern Islamic boarding schools, like other Islamic boarding schools, are part of Islamic education in Indonesia. The purpose of this research is to develop a system that uses the K-Means Clustering method to analyze the tahfidz values ​​of students based on fashohah and tajwid values. This system utilizes the RapidMiner Application as a testing tool. This research has several important contributions. First, by applying the K-Means Clustering method, the system can group students based on similar tahfidz abilities. This can help educators (Tendik) Modern Islamic Boarding School At-Taqwa Gunungputri Bogor in monitoring and evaluating the progress of students in memorizing the Qur'an. With this research, the Leaders of the At-Taqwa Modern Islamic Boarding School hope that the New Santri Acceptance Committee (PSB) and especially the Educators of the At-Taqwa Modern Islamic Boarding School can be useful and assist them in determining the value of Tahfidz and can improve the quality of the Tahfidz Program at this Islamic Boarding School
PENERAPAN REDUNDANCY FIREWALL PFSENSE MENGGUNAKAN METODE CARP DENGAN PFSYNC DAN XMLRPC SYNC Ramadhan, Muhammad Syahrul Fattah; Nendi
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.394

Abstract

The use of information technology (IT) has grown rapidly in various sectors, such as business, industry, education, healthcare, and government. With the increasing dependence on IT, it is important for organizations to ensure high availability of the firewall system. When the firewall experiences problems or is unavailable, computer networks can be vulnerable to cyber attacks such as DoS (Denial of Service), Port Scanning, and others, resulting in financial loss, reputation damage, and loss of customer trust. On the other hand, high availability of the firewall system can help organizations meet regulatory requirements, maintain customer trust, and improve operational efficiency. The method used in this research is the Network Development Life Cycle (NDLC), which consists of six stages: Analysis, Design, Simulation Prototyping, Implementation, Monitoring, and Management. From the test results, it can be concluded that after testing 10 times with the CARP method, sending 30 packets and then the master node dies, this method has an average of 27.2 packets received, downtime of around 2.8 seconds, and packet loss of around 9.2%. These results make the CARP method have high availability against system or network failures.
IMPLEMENTASI KLASIFIKASI KEHAMILAN BERESIKO DENGAN METODE NAIVE BAYES PADA PUSKESMAS KELURAHAN MALAKA JAYA Khoirunnisa, Virginia; Lestari, Sri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.396

Abstract

Pregnancy risk is classified into three categories: Low Risk Pregnancy (KRR), High Risk Pregnancy (KRT), and Very High Risk Pregnancy (KRST). Examination data recorded in the Maternal and Child Health (MCH) book at Puskesmas is used to categorize pregnancy risk. Although the maternal mortality rate has decreased, recent surveys show a significant increase. The causes include lack of counseling on obstetric and gynecological health, lack of emergency obstetric and neonatal care, and the use of ineffective traditional medicine. To overcome this problem, it is necessary to improve quality maternal health services. Efforts to accelerate the reduction of maternal mortality rate (MMR) include access to appropriate health services, postpartum care, and family planning services. Data processing uses data mining techniques with the Naïve Bayes classification method, which has high accuracy and short execution time. This study aims to develop a Naïve Bayes classification model in early detection of pregnancy risk, so that it can help diagnose pregnant women with low or high risk.
IMPLEMENTASI DATA MINING DALAM PREDIKSI TARGET PRODUKSI PADA PROSES KERJA MESIN MOLDING MENGGUNAKAN ALGORITMA LINEAR REGRESSION (STUDI KASUS : PT. AIM KARAWANG) Marjo; Sumantri, Erno
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.397

Abstract

Production is a process activity from input to produce an output. In the process of working good production will produce good quality products and in large quantities, this is due to a lack of products that are wasted due to production defects (NG products). In the world of industrial production will run simultaneously with a target. A target is a measure of the number of achievements in a certain period of time. The company will make continuous improvements for the smooth running of production and the achievement of production targets. This is because the more products produced, the turnover obtained will also be higher. The purpose of this research is to optimize production targets in the molding machine work process at PT. AIM Karawang. Where the products produced are o rings and rubber products by processing the material in the form of rubber. The method used in this study is the data mining linear regression algorithm. The reason for using this algorithm is because it is the most suitable for the existing conditions, so the daily data report some time ago is used as a reference for determining future target achievement.
PENERAPAN FACE RECOGNITION DENGAN ALGORITMA VIOLA JONES DALAM SISTEM PRESENSI KEHADIRAN SISWA DAN GURU PADA SEKOLAH IDN BOARDING SCHOOL JONGGOL Mulyana, Dadang Iskandar; Edi
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.398

Abstract

The Viola-Jones algorithm is one algorithm that is often used to detect faces. The human face recognition system is an important technology that functions as a security system, control system, and others. This is in accordance with the research objectives, namely to determine the application of the Viola-Jones algorithm in detecting the faces of students and teachers at SMK IDN Boarding School. This research aims to develop a student and teacher attendance system at IDN Boarding School Jonggol using face recognition technology with the Viola-Jones algorithm. The developed attendance system aims to increase the effectiveness and efficiency in managing the attendance of students and teachers. Then identify attendance by comparing face images registered in the system database. The application used by the face recognition program is PyCharm Community 2023 Version 1.4 with the macOS operating system. The test used various expressions totaling 200 images of 20 people. The percentage of successful face recognition process is 95%. Some factors that affect the success of recognition are lighting, face distance and face position.
IMPLEMENTASI ITILV4 FRAMEWORK IT ASSET MANAGEMENT PRACTICE PADA PT. INTEGRASI DATA NUSANTARA Pratama, Ferry Fajar; Mulyana, Dadang Iskandar
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.399

Abstract

Asset management is an important process that must be carried out by a company in managing its assets effectively and efficiently. PT. Integrasi Data Nusantara is a company that requires good asset management in carrying out its business operations. Therefore, the authors conducted research on the implementation of asset management practices at PT. Integrasi Data Nusantara using the ITILv4 framework. This study aims to identify the steps that must be taken in implementing asset management practices at PT. Integrasi Data Nusantara using the ITILv4 framework and providing recommendations regarding improvements that can be made. This study uses a qualitative descriptive method by conducting interviews with several respondents who are involved in the implementation of asset management practices at PT. Integrasi Data Nusantara. The author then makes a GAP analysis which will be used as a reference for the implementation of ITILv4 IT Asset Management practices. Based on the results of the questionnaire that has been carried out, the researcher found that the implementation that has been carried out has produced positive results for IT asset management at PT. IDN. This is shown by the results of a survey using a Likert scale which has an average value of 4 on a Likert scale of 1-5.
RANCANG BANGUN APLIKASI REKAM MEDIS ELEKTRONIK DI KLINIK MEDIKA LESTARI JAKARTA PUSAT Kusuma, Dodi Angga; Siregar, Kemal Nazaruddin; Prabawa, Artha; Yuniar, Popy; Diana; Yuliana, Enny
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.400

Abstract

The implementation of Electronic Medical Records (RME) in all health service facilities is a digital transformation target in Indonesia. Clinics are health service facilities as the spearhead of primary level health services. However, there are still many clinics whose operations are still paper-based. The purpose of this study is to design an RME Clinical information system that produces precise and accurate data and information and uses RME variable guidelines and metadata to be ready to be integrated into the SATUSEHAT platform. The research design used in this research is qualitative. The system development method uses the System Development Life Cycle (SDLC) with the prototype method. The results of data collection found several problems in the implementation of medical records including paper-based, not standardized and structured diagnoses, medical record card storage was not efficient, report preparation was less effective. Based on this, a web-based clinical RME prototype was built. The resulting prototype makes clinical administration more efficient without a lot of paper/cards, standardized diagnostics, structured and safer data storage, and more effective report preparation because it is done through the system. Reports generated by the prototype can be used as a basis for clinical policies such as providing drug stock based on patient disease reports, as well as routine reports that are reported to the Puskesmas. This Clinical RME prototype can also be the forerunner of a clinical information system that wants to integrate RME with the SATUSEHAT platform.

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