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Journal : Jurnal Inotera

Pasie Lembang Village Tourism Planning Study Ecotourism-Based Resky Rusnanda; Elby Sepriady; Asmaidi; Darma Setiawan Putra
Jurnal Inotera Vol. 7 No. 2 (2022): July-December 2022
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol7.Iss2.2022.ID177

Abstract

Pasie Lembang village is located in South Kluet District, which has excellent natural potential and community. In this village there are tourist attractions that are very important to be developed, including the Pasie Lembang beach tourist attraction where there is turtle breeding around it, but the problem that often occurs in tourism management is the absence of the right concept in its development so that it causes it not to develop properly the tourist attractions in the village. The problem at this time is the absence of proper tourism planning in the management of tourist attractions in Pasie Lembang Village. The methodology used in this study is the SWOT analysis method. The results of his research are that the concept of tourism planning in Pasie Lembang Village uses the concept of ecotourism. This concept focuses on aspects of nature conservation, aspects of social and economic empowerment of local communities, as well as aspects of learning and education. In developing this concept, a SWOT analysis has been carried out which resulted in 7 (seven) strategies – the strategies obtained are applied in tourism development planning in Pasie Lembang Village. The conclusions of this study are: 1) Pasie Lembang Village is located in South Kluet District, which is in accordance with the mandate of the RTRW of South Aceh Regency that the Pasie Lembang area is in a natural and artificial tourism allotment area. 2) Pasie Lembang Village is very suitable for tourism development with the concept of ecotourism which focuses on nature conservation.
Application of Quadratic Programming Using The Beale Method Shanaz Tulzahrah; Syaripuddin; Asmaidi
Jurnal Inotera Vol. 8 No. 2 (2023): July - December 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss2.2023.ID247

Abstract

Portofolio saham merupakan salah satu alternatif bagi investor dalam pengambilan keputusan investasi. Saham portofolio dapat dimodelkan ke dalam model pemrograman kuadratik dengan menggunakan mean variance Markowitz yang dapat diselesaikan dengan menggunakan metode Beale. Penelitian ini bertujuan untuk mencari hasil optimal dari portofolio saham. Data yang digunakan dalam penelitian ini adalah data saham 10 perusahaan yang membagikan dividen terbesar dalam kategori IDX High Dividend 20 untuk tahun 2022. Terdapat dua portofolio saham yang dipilih. Portofolio saham pertama adalah portofolio saham kovarians negatif dengan perbedaan tingkat return ekspektasi yang jauh berbeda, yaitu portofolio saham PT Astra International Tbk dan PT Indo Tambangraya Megah Tbk. Portofolio saham kedua adalah portofolio saham kovarians negatif dengan perbedaan tingkat return ekspektasi yang tidak jauh berbeda yaitu portofolio saham PT Bank Rakyat Indonesia (Persero) Tbk dan PT Mitra Pinasthika Mustika Tbk. Berdasarkan mean variance Markowitz, fungsi tujuan untuk portofolio saham pertama adalah Z=-1,305x_1-9,832x_2-0,137x_1 x_2+0,681x_1^2+2,358x_2^2 dengan batasan x_1+x_2≤100 dan x_1, x_2≥0. Setelah dilakukan perhitungan dengan menggunakan metode Beale, diperoleh tingkat keuntungan yang diharapkan sebesar 3,432% dan risiko sebesar 0,505% dengan proporsi optimal untuk PT Astra International Tbk sebesar 75,063% dan proporsi optimal untuk PT Indo Tambangraya Megah Tbk sebesar 24,937%. Selain itu, fungsi tujuan untuk portofolio saham kedua adalah Z=-2,426x_1-2,528x_2-0,292x_1 x_2+0,366x_1^2+0,508x_2^2 dengan kendala x_1+x_2≤100 dan x_1+x_2≥0. Dengan metode Beale, tingkat keuntungan yang diharapkan sebesar 2. 471% dan risiko sebesar 0,141% dengan proporsi optimal untuk PT Bank Rakyat Indonesia (Persero) Tbk adalah 56,077% dan proporsi optimal untuk PT Mitra Pinasthika Mustika Tbk adalah 43,923%.
Encryption and Description of RGB Values in Images Using the Hill Chiper Algorithm Sukma Achriadi; Hardisal; Asmaidi; M. Sulthan Hanafi
Jurnal Inotera Vol. 9 No. 1 (2024): January-June 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss1.2024.ID282

Abstract

Information security related to computer use cannot be separated from cryptography. Hill cipher is an application of modulo arithmetic in cryptography. This cryptography technique uses a square matrix as the key used to carry out encryption and decryption. This cryptographic technique was created with the intention of being able to create ciphers (codes) that cannot be broken using frequency analysis techniques. Hill Cipher does not replace each of the same letters in the plaintext with other letters that are the same in the ciphertext because it uses matrix multiplication as a basis for encryption and decryption. Hill Cipher cryptography is a type of classic cryptography that uses a substitution method by providing random keys and the number is the same as the plaintext. The use of encryption and decryption using the Hill cipher algorithm is to help secure data so that it is not easily falsified or accessed by irresponsible people by changing the original image into a different form where the image is not easy to recognize. The encryption and decryption process was designed using the Java programming language using NetBeans 8.2 and the Hill Cipher algorithm to encrypt RGB digital images