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SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KENAIKAN KELAS DENGAN MENGGUNAKAN METODE TOPSIS PADA SMK YAPIM MABAR Priantoni Hia; Hardianto Hardianto; Ratih Adinda Destari
CCIT Journal Vol 11 No 2 (2018): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.022 KB) | DOI: 10.33050/ccit.v11i2.585

Abstract

The most important decision-making in schools is class decision making. The old way with the manual system can lead to slow decision-making. This is of course caused by a very basic problem, namely the decision-making is not appropriate. Therefore a decision support system is needed that can help the teacher to determine the class increase. The design of decision support system in this study aims to apply the application to determine the increase of class, To overcome the problem, required a decision support system of computerized class increase which later can produce quality decisions that can process data and student values ​​effectively and efficiently and can measure the ability of students both academically and non academic so that activities that have been done manually can be done using the computer and mistakes in decision-making class increase can be avoided as well as time in determining decision-making class increase much faster and effective. Decision support system is designed using visual basic programming languages ​​2010 and SQL Server 2008. The process in this study using Topsis method.
Sistem Rangking Pemanfaatan Susu Bayi Menggunakan Analytical Network Process (ANP) Ratih Adinda Destari
SISFOTENIKA Vol 6, No 1 (2016): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.197 KB) | DOI: 10.30700/jst.v6i1.105

Abstract

AbstrakDalam mencari produk susu yang paling banyak diminati oleh konsumen tentunya konsumen harus mampu menentukan dan memilih produk susu bayi yang paling banyak dikonsumsi. Banyak produk susu bayi yang beredar di pasaran tetapi tidak semua produk susu bayi tersebut banyak dibeli oleh konsumen terutama ibu rumah tangga yang membutuhkan susu bayi yang bermanfaat bagi bayi mereka, ada susu bayi hanya dikonsumsi oleh beberapa orang saja, hal tersebut terjadi dikarenakan ada beberapa masalah diantaranya mengenai, harga, daya tahan, jumlah protein, jumlah mineral dan sebagainya. Tujuan dari penelitian ini memberikan referensi dan kemudahaan bagi para konsumen yang memiliki bayi untuk memilih susu formula mana yang paling baik berdasarkan nilai rangking yang diperoleh masing masing produk susu. Susu formula bayi berbentuk cairan atau bubuk yang dibuat secara instan dengan formula tertentu dan memiliki kandungan nilai gizi, AA, DHA, Protein, Vitamin dan Mineral untuk perkembangan otak, jaringan otot dan tulang rangka, diberikan pada bayi dan anak-anak yang berfungsi sebagai pengganti ASI. Analytic Network Process (ANP) metode yang terdiri dari kriteria dan alternative yang memiliki keterhubungan antara elemen yang ada dalam kriteria (Ineer Dependence) dengan elemen yang ada di luar kriteria (Outer Dependence) memiliki kemampuan mendapatkan peringkat prioritas alternatif sebagai acuan pengambilan keputusan dalam penelitian ini. Berdasarkan analisis dan pembahasan dari dari hasil pengolahan data, dapat diketahui bahwa Susu Bayi Lactogen mendapat rangking 1 dengan bobot prioritas paling besar sebesar 0.2001atau 20%, peringkat 2 adalah Bebelac dengan bobot prioritasnya 0.1925 atau 19%, peringkat 3 adalah Nutrilon dengan bobot prioritasnya 0.1668 atau 17%, peringkat 4 adalah Lactona dengan bobot prioritasnya 0.1594 atau 16%, peringkat 5 adalah SGM dengan bobot prioritasnya 0.1447 atau 15% dan peringkat 6 adalah Frisian Flag dengan bobot prioritasnya 0.1365 atau 14%. Dari hasil tersebut maka Susu Bayi Bebelac memiliki bobot paling besar dan paling banyak dipergunakan oleh masyarakat. Hasil penelitian ini kedepannya bisa menjadi referensi oleh peneliti dan masyarakat dalam memilih produk Susu Bayi yang bermanfaat.Kata Kunci: Sistem Pendukung Keputusan (SPK), Analytic Network Process (ANP), Prioritas.
Implementasi Kriptografi dengan Caesar Cipher pada Fitur Pesan di WhatsApp untuk Keamanan Ratih Adinda Destari
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 4 (2025): Agustus : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i4.978

Abstract

Rapid technological developments have penetrated various aspects of human life, including data and information security. Amidst the threat of data leaks and misuse, information protection has become crucial. One solution to maintain data confidentiality is to implement cryptography technology. Cryptography is the study of techniques to secure messages so they cannot be read by unauthorized parties. This process is carried out by encoding the original message (plain text) into an unreadable form (cipher text), which can only be understood by those who possess the key to decrypt it. This study used the Caesar Cipher algorithm, a form of classical cryptography. This algorithm uses a substitution method, where each letter in the message is shifted by a certain amount based on a predetermined key. Caesar Cipher is a symmetric algorithm, meaning the key used for encryption is also used for decryption. The security of this algorithm lies in the secrecy of the key, which is known only to the sender and recipient of the message. This method is relatively simple, but still relevant for securing data with low to medium sensitivity levels. This study used WhatsApp messages as the object to be encrypted using the Caesar Cipher algorithm. The results show that encrypted messages become unintelligible without prior decryption. This demonstrates that the Caesar Cipher can protect messages from unauthorized parties. Therefore, implementing this algorithm can be an initial solution for maintaining data confidentiality in digital communications, especially on platforms vulnerable to eavesdropping or unauthorized access. Its primary benefit is maintaining message integrity and confidentiality to prevent misuse.  
Pengembangan Sistem Rekomendasi Wisata Kota Medan Berdasarkan Lokasi dan Preferensi Pengguna Menggunakan Algoritma Hybrid Filtering Berbasis Android dan Web Ghozali, Alexander Valiant; Ratih Adinda Destari
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Medan, the capital of North Sumatra Province, boasts diverse tourism potential, ranging from culinary, historical, and cultural attractions to natural destinations. Unfortunately, many tourists, both local and international, are still unfamiliar with Medan's diverse destinations. This issue is due to limited information that is structured and tailored to the needs and preferences of each user. The solution to addressing the challenges of tourist attraction recommendations in Medan is to design an Android-based application using the hybrid filtering method. A recommendation system is needed to address the challenge of selecting tourist destinations that align with user preferences and can present more personalized and accurate travel options. By considering the characteristics of tourist attractions in Medan and the needs of tourists, the development of an Android-based recommendation system is the right solution to facilitate the search for tourist destinations.