Judul: Karakteristik Massa Air Pasifik Utara di Perairan Utara Pulau Bali
Abstrak: Perairan utara Pulau Bali merupakan lintasan massa air Arlindo yang berasal dari Samudera Pasifik Utara sebelum keluar melewati Selat Lombok. Lokasi penelitian yang merupakan lintasan Arlindo memengaruhi karakteristik massa air di perairan ini. Penelitian ini bertujuan mendeskripsikan stratifikasi dan struktur massa air serta menghitung kontribusi massa air Pasifik Utara, yaitu North Pacific Subtropical Water (NPSW) dan North Pacific Intermediate Water (NPIW), menggunakan metode Optimum Multiparameter. Perairan utara Pulau Bali terdiri dari tiga lapisan massa air, yaitu lapisan tercampur, termoklin dan dalam. Pada perairan ini ditemukan massa air NPSW dan NPIW dengan nilai yang sudah berkurang dibandingkan dengan wilayah sumber di Samudera Pasifik Utara. Massa air NPSW ditemukan dengan nilai S-max sebesar 34,6 psu dan NPIW ditemukan dengan nilai S-min sebesar 34,35 psu. Persentase kontribusi NPSW sebesar 70% pada kedalaman 110-130 meter dan NPIW sebesar 80% pada kedalaman 200-215 meter. Kontribusi NPSW menurun dari arah timur menuju barat, sedangkan kontribusi NPIW meningkat., The northern waters of Bali are the trajectory of Indonesian Throughflow (ITF)’s water mass which derives from the North Pacific Ocean before exiting through Lombok Strait. This location as the ITF’s trajectory has an impact on the characteristics of the water mass in these waters. This study aims to describe the stratification and structure of water masses and calculate the contribution of North Pacific Subtropical Water (NPSW) and North Pacific Intermediate Water (NPIW), using Optimum Multiparameter analysis. The northern waters of Bali consist of three layers of water mass which are mixed, thermocline and deep. There was found NPSW and NPIW water masses with a reduced value compared to the source area in the North Pacific Ocean. NPSW water mass was found with an Smax value of 34,6 psu and NPIW was found with an S-min value of 34,35 psu. The percentage of NPSW contribution is 70% at a depth of 110-130 meters and NPIW is 80% at a depth of 200-215 meters. NPSW’s contribution decreases from east to west while NPIW’s increases.
Keyword: Arlindo, kontribusi, NPIW, NPSW, perairan utara Pulau Bali

Judul: Mixing of North Pacific Water Masses at North Sea Bali Island
Abstrak: Massa air Arlindo mengalami transformasi karena berbagai faktor, seperti energi pasang surut dan gelombang internal yang kuat. Penelitian ini bertujuan mendeskripsikan stratifikasi dan struktur massa air Pasisik Utara di perairan utara Bali, serta mengestimasi nilai dissipasi dan difusivitas vertikal dalam proses percampuran turbulen massa air di Perairan Utara Bali menggunakan metode Thorpe. Hasil penelitian menunjukkan massa air termoklin (North Pacific Subtropical Water) dengan ciri salinitas maksimum, dan kedalaman menengah (North Pacific Intermediate Water) dengan ciri salinitas minimum tipikal Pasifik Utara mendominasi di lokasi studi. Kisaran nilai seluruh profil CTD untuk Energi Kinetik Dissipasi Turbulen (ɛ) dan Difusivitas Vertikal Turbulen (KZ) didapatkan masing-masing sebesar O (〖10〗^(-11)) WKg^(-1) hingga O (〖10〗^(-6) ) WKg^(-1) dan O (〖10〗^(-5) ) WKg^(-1) hingga O (〖10〗^(-3) ) WKg^(-1). Nilai ini tergolong cukup rendah dan diduga karena massa air yang masuk ke wilayah kajian telah tereduksi secara signifkan serta lokasi penelitian yang dekat dengan daratan.
Keyword: Massa air Arlindo, Metode Thorpe, Pasang surut internal, Pencampuran, Perairan Utara Bali

Judul: Penerapan Algoritme Genetika dalam Sistem Permainan Tebak Angka
Abstrak: The number guessing game is a modified game of mastermind created by Mordecai Meirowitz in 1970. The goal of the game is to guess a hidden sequence of numbers stored by others (human or computer) based on values obtained at each guess iteration. In this study, the game is applied into the system by using genetic algorithms, a method that has been successfully utilized to implement the mastermind game on the computer and get an effective solution for the game. Genetic algorithms work through a process of natural selection or commonly known as the evolutionary process, which will continue running until the system finds the optimal 4-digit series of numbers. The system is designed in order to guess those hidden numbers with minimal iterations using c++ programming language. The output of the program shows that the performance is determined by the first guess iteration.
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