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All Journal Jurnal TIMES Sinkron : Jurnal dan Penelitian Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Computer Science and Information Technologies Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Pengabdian kepada Masyarakat Nusantara ABDI SABHA (Jurnal Pengabdian kepada Masyarakat) Instal : Jurnal Komputer Hanif Journal of Information Systems Tsabit Journal of Golden Generation Engineering Journal of Research and Public Horizons
Yoshida Sary
Universitas Muhammadiyah Sumatera Utara
Religion Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Transportation

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Text Processing Application on Images using Modification of LSB and ROTI3 Methods Suma, Muhammad Rizki; Sary, Yoshida
Hanif Journal of Information Systems Vol. 2 No. 2 (2025): February Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v2i2.34

Abstract

This thesis is titled "Text Processing Application on Images Using Modified LSB and ROT13 Methods". This research aims to develop an application that can hide text messages within images using steganography techniques. The methods employed in this study are Least Significant Bit (LSB) for embedding messages into image pixels, and ROT13 for encrypting the message before embedding. By utilizing these two methods, it is expected that the hidden messages can be protected from unauthorized parties. The results of this research indicate that the developed application is capable of storing and retrieving messages effectively, while providing a higher level of security for the stored information. This research is expected to contribute to the fields of cryptography and steganography, and serve as a reference for future studies. The purpose and benefits of this research are to design and implement an application that is able to insert, encrypt, and extract text from digital images. Utilizing a combination of LSB (Least Significant Bit) and ROTI3 methods to improve efficiency and security in text processing on images.
Pemberdayaan ekonomi perempuan melalui digital marketing pada Anggota Ranting Aisyiyah Cabang Helvetia M, Martiano; sari, Fatma; sary, yoshida
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi Januari - Maret
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.3874

Abstract

Pengabdian masyarakat ini bertujuan utuk meningkatkan kemampuan ibu-ibu aisyiah dalam mengunakan 1. optimasi Seo, 2. Program afliation, 3. penggunaan tiktok dalam marketing. 4. pengunaan instagram. Metode yang digunakan yakni metode PTK yang memiliki siklus 2 yaitu perencanaan, pelaksanaan, pengamatan da refleksi. Pelatihan ini dilakuakan sebanyak 3 kali pelatihan. Hasil yang di peroleh pada pengabdian masyarakat ini yakni hasil pretest dan postest yakni pelatihan mengunakan instagram mengalami peningkatan yang besar dari 67% sampai 87%, pelatihan pengunaan program afiliaiation dari 60% sampai 85%. Yang meliputi usaha di bidang kopi, catering, busana muslim, dll. Diharapkan program ini dapat ibu-ibu tetap meningkatkan kemampuannya dalam membuat konten di platform digital marketing.
Application of the Weighted Sum Model Method in Determining the Location of Family Planning Counseling at the North Sumatera BKKBN Lubis, Zahwa Putri; Sary, Yoshida
Tsabit Journal of Computer Science Vol. 1 No. 2 (2024): December Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit37

Abstract

To determine the location of Family Planning Counseling automatically, this research developed a web-based decision support system using the Weighted Sum Model (WSM) method with PHP programming and a MySql database. This system uses several variables as decision support indicators such as the number of couples of childbearing age, number of contraceptive users, location accessibility, costs, number of family cards, number of family planning participants, number of children and education, with 33 alternative regencies/cities in Sumatera Utara region. Based on the analysis carried out, the results of the top 5 alternatives are regencies/cities, namely Deli Serdang (127851), Medan (103020), Langkat (67047), Simalungun (53025), and Asahan (48598). So it can be concluded that this research achieved the results expected by the BKKBN.
Sistem Pendukung Keputusan Pemilihan Merek Pakan Ternak Ayam Broiler Menggunakan Metode Saw Andi Noval Ramadan Tarigan; Yoshida Sary
Journal of Research and Public Horizons Vol. 2 No. 1 (2026): Juni 2026: Journal of Research and Public Horizons
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jrph.v2i1.760

Abstract

Pemilihan merek pakan ayam broiler merupakan salah satu faktor penting yang mempengaruhi pertumbuhan, kesehatan, dan produktivitas ayam. Banyaknya pilihan merek pakan di pasaran seringkali menyulitkan peternak dalam menentukan keputusan yang tepat. Oleh karena itu, diperlukan suatu sistem pendukung keputusan yang dapat membantu proses pemilihan secara objektif dan sistematis. Penelitian ini bertujuan untuk merancang dan membangun Sistem Pendukung Keputusan (SPK) dalam pemilihan merek pakan ayam broiler menggunakan metode Simple Additive Weighting (SAW). Metode SAW dipilih karena mampu melakukan penilaian berdasarkan beberapa kriteria seperti harga, kandungan nutrisi, kualitas, ketersediaan, dan tingkat konversi pakan. Hasil dari penelitian ini berupa sistem yang dapat memberikan rekomendasi merek pakan ayam broiler yang optimal sesuai dengan kebutuhan peternak. Dengan adanya sistem ini, diharapkan dapat meningkatkan efisiensi dalam pengambilan keputusan serta mendukung peningkatan produktivitas peternakan.
Penerapan Algoritma Apriori Untuk Menentukan Pola Permintaan Jasa Security Pada Pt Asperindo Dutta Service Rizky Syahputra; Yoshida Sary
Journal of Golden Generation Engineering Vol. 2 No. 2 (2026): In Progress 2026 : Journal of Golden Generation Engineering
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggengineering.v2i2.827

Abstract

Penelitian ini bertujuan untuk menganalisis pola permintaan jasa security berdasarkan data transaksi klien menggunakan algoritma Apriori. Data yang dianalisis merupakan data transaksi permintaan layanan jasa security yang telah tercatat dan dipersiapkan oleh perusahaan, tanpa melibatkan data rekrutmen atau pengelolaan sumber daya manusia. Analisis difokuskan pada keterkaitan antar atribut permintaan, meliputi jenis tempat atau klien, jenis layanan pengamanan, lama kontrak, serta jumlah personel pengamanan.Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik data mining. Proses analisis dilakukan melalui tahapan seleksi data, pembersihan data, transformasi data, penerapan algoritma Apriori, serta evaluasi pola asosiasi berdasarkan nilai support, confidence, dan lift. Untuk mendukung proses analisis, dirancang sebuah sistem berbasis web yang berfungsi sebagai alat bantu pengolahan data dan visualisasi hasil pola permintaan jasa security.Hasil penelitian menunjukkan bahwa algoritma Apriori mampu mengidentifikasi pola permintaan jasa security yang sering muncul dalam data transaksi. Pola asosiasi yang dihasilkan dapat memberikan informasi yang bermanfaat bagi perusahaan dalam memahami kecenderungan permintaan layanan serta mendukung pengambilan keputusan operasional secara lebih terstruktur dan berbasis data.
Clustering of uninhabitable houses using the optimized apriori algorithm Al-Khowarizmi Al-Khowarizmi; Marah Doly Nasution; Yoshida Sary; Bela Bela
Computer Science and Information Technologies Vol 5, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i2.p150-159

Abstract

Clustering is one of the roles in data mining which is very popularly used for data problems in solving everyday problems. Various algorithms and methods can support clustering such as Apriori. The Apriori algorithm is an algorithm that applies unsupervised learning in completing association and clustering tasks so that the Apriori algorithm is able to complete clustering analysis in Uninhabitable Houses and gain new knowledge about associations. Where the results show that the combination of 2 itemsets with a tendency value for Gas Stove fuel of 3 kg and the installed power meter for the attribute item criteria results in a minimum support value of 77% and a minimum confidence value of 87%. This proves that a priori is capable of clustering Uninhabitable Houses to help government work programs.
Co-Authors Abdi Prawira, Mahardika Al Khowarizmi Andi Noval Ramadan Tarigan Annisa, Putri Bela Bela Farhan Al-iksan Al-iksan Fatma Sari Hutagalung Firmansyah, Denny Husaini, Abdillah Lubis, Zahwa Putri M, Martiano Marah Doly Nasution Martiano, Martiano Ramadhan, Danial Rizky Syahputra Sari Hutagalung, Fatma Siswahyudianto Suma, Muhammad Rizki Zuli Agustina Gultom