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All Journal JTIK (Jurnal Teknik Informatika Kaputama) EXPLORER Bulletin of Multi-Disciplinary Science and Applied Technology
magdalena simanjuntak
STMIK KAPUTAMA, BINJAI
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

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IMPLEMENTASI ALGORITMA OTP DAN STEGANOGRAFI EOF DALAM PENYISIPAN PESAN TEKS PADA CITRA muhammad arief; magdalena simanjuntak; I Gusti Prahmana
JTIK (Jurnal Teknik Informatika Kaputama) Vol 6, No 2 (2022): Volume 6, Nomor 2 Juli 2022
Publisher : STMIK KAPUTAMA

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Abstract

Penggunaan informasi media citra mempunyai beberapa kelemahan, salah satunya adalah mudahnya dimanipulasi oleh pihak-pihak tertentu dengan bantuan teknologi yang berkembang sekarang ini. Upaya yang dapat dilakukan dalam peningkatan pengamanan pengiriman informasi citra adalah kriptografi, yaitu ilmu dan seni untuk menjaga keamanan pesan. Pada penelitian ini diterapkan metode One Time Pad dan Stegnografi End Of File yang bertujuan untuk memperoleh cipher yang lebih kuat dengan menyisipkan pesan kedalam citra sehingga susah untuk di sadap. Algoritma One Time Pad untuk mengenkripsi dan dekripsi, Stegnografi End Of File yang digunakan untuk mengencoding dan mendecoding citra. Hasil dari penelitian ini menunjukkan bahwa dengan menerapkan algoritma One Time Pad dan Stegnografi End Of File dapat mengamankan pesan yang disisipkan kedalam citra dan mengamankan kunci untuk kebutuhan data. Waktu proses encoding dan decoding di pengaruhi oleh banyaknya pesan yang akan dirahasiakan.
Diagnosa Hipertensi Dengan Menggunakan Metode Certainty Factor Ahmad Kurniawan Prahadi; Yani Maulita; Magdalena Simanjuntak
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Hypertension does not occur suddenly, but through a process that lasts quite a long time. Hypertension is an increase in blood pressure in the arteries that is systemic in nature or lasts continuously for a long period of time. Uncontrolled high blood pressure for a certain period will cause permanent high pressure called hypertension. Studies conducted by health institutions in the UK stated that in general hypertension is experienced by men and women aged 48.5 years. Although there are young people who suffer from hypertension, the percentage is relatively small. With this fact, hypertension is included in the group not a congenital disease. In diagnosing hypertension, of course, it can not only be done by measuring blood pressure, but requires further examination by a doctor. However, to see a doctor the patient must queue with another patient to be examined. This will certainly make the patient bored and will even cause blood pressure to increase even more due to waiting too long to be treated. To deal with the problems mentioned above, it is necessary to build an expert system that can diagnose hypertension quickly and get a treatment solution like a doctor using the Certainty Factor method. The certainty factor is a derivation and development of the conditioned probability theory (Bayes theorem). The certainty factor is obtained from the operation of reducing the value of belief (measure of belief) by the value of distrust (measure of disbelief). The main purpose of using the certainty factor is to process the uncertainty of facts and phenomena by avoiding the need for large data and calculations.
Data Mining Pengelompokan Pengajuan Kredit Pensiun Pada Bank Sumut Menggunakan Metode Clustering (Studi Kasus : PT. Bank Sumut Cabang Binjai) Alma Alawiyah Gultom; Budi Serasi Ginting; Magdalena Simanjuntak
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 1 No 6 (2022): Oktober 2022
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

PT. Bank SUMUT Binjai branch is one of the financial institutions that provides several products offered to retirees such as retirement savings and pension loans. Most of the information is only seen as archives that are not used and can be destroyed at any time. This is a wrong view, because with proper and clever handling, these data can be processed and manipulated by data mining, so that later they can be used to produce useful information in making a decision. Data mining can help companies explore new knowledge by processing existing data with clustering methods and using the K-Means algorithm. From the credit application data, several criteria/variables will be taken, including the basic salary variables, allowances and loan guarantees (collateral) used. The data is processed with the Matlab program to produce a cluster center and the relationship between variables is obtained by the group with the highest value. The use of data mining techniques is expected to provide knowledge that was previously hidden in the data warehouse so that it becomes valuable information. The calculation that has been done is that the number of members of group 1 is 141 data, the number of members of group 2 is 90 data and the number of members of group 3 is 148 data. With the results centroid 1: 2.5319, 1, 1.5319, centroid 2: 5.2222, 3.5556, 1.9889 and centroid 3: 4,3286,1.8295, 2.1818.
Pengelompokan Bidang Usaha Terhadap Bantuan Produktif Usaha Mikro (BPUM) Berdasarkan Wilayah Deli Serdang Menggunakan Metode Clustering K-Means (Studi Kasus: Dinas Koperasi Dan UMKM Kabupaten Deli Serdang) Tiara Jelita; Relita Buaton; Magdalena Simanjuntak
Explorer Vol 3 No 2 (2023): July 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v3i2.783

Abstract

Micro Business Productive Assistance is a program that is assistance from the government to MSME workers throughout Indonesia. Every year, MSMEs can receive this assistance, without exception for those who have received it in previous years. The Office of Cooperatives and MSMEs of Deli Serdang Regency is a regional apparatus in North Sumatra Province which has the main task of carrying out government affairs in the field of cooperatives and small businesses including saving and loan business permits, empowerment and development of small businesses. Micro, Small and Medium Enterprises (MSMEs) are individual business entities which contributed significantly to increasing exports, increasing and equalizing income, forming national products and expanding employment opportunities. Based on these conditions, the authors provide a solution that needs to be built a clustering that can classify fields in each business owned by the community, because not all types of business fields in the community will receive this assistance, including agriculture and animal husbandry. Grouping data can apply the data mining process with the K-Means Algorithm clustering method which is a process of processing very large amounts of data using statistical methods, mathematics, and utilizing Artificial Intelligence technology to produce a group of data. By utilizing the data mining process using the clustering method, it is hoped that clustering can solve the problem of grouping business fields owned by the community. From the test results with 1004 data, which was carried out with MATLAB, it was found that group 1 had 383 data, group 2 had 261 data and group 3 had 360 data. Meanwhile, based on the results of the trial with RapidMiner, it was found that group 1 had 371 data, group 2 had 281 data and group 3 had 352 data.
Co-Authors Ahmad Kurniawan Prahadi Alma Alawiyah Gultom Buaton, Relita Budi Serasi Ginting I Gusti Prahmana muhammad arief Tiara Jelita Yani Maulita