Pengembangan Usaha Budidaya Udang Vannamei (Lithopenaeus vannamei) di Sekolah Usaha Perikanan Menengah (SUPM) Tegal, Jawa Tengah

Sektor perikanan memiliki sumberdaya yang sangat potensial sebagai sumber potensi baru. Peralihan sektor perikanan dari perikanan tangkap ke perikanan budidaya untuk menjaga stok sumberdaya ikan di alam tetap lestari. Budidaya udang vannamei (Lithopenaeus vannamei) merupakan salah satu budidaya yang termasuk komditas unggulan di Indonesia. Alat analisis yang dapat digunakan dalam menyusun strategi rencana usaha budidaya yang dimiliki oleh SUPM Tegal adalah dengan menggunakan analisis SWOT. Tujuan dari penelitian ini adalah meganalisis kelayakan dari usaha pembesaran udang vanname SUPM ditinjau dari aspek finansiil maupun non finansiil seperti aspek teknis, manajemen, hukum, lingkungan, dan sosial ekonomi, menganalisis IFAS (Internal Factor Analysis Summary) dan EFAS (external Factor Analysis Summary) pada usaha pembesaran udang vanname SUPM Tegal, menentukan strategi perencanaan yang tepat untuk diterapkan pada usaha pembesaran udang vanname milik SUPM berdasarkan hasil penilaian SWOT. Penelitian ini dilaksanakan pada bulan Februari 2020 di SUPM Tegal, Jawa Tengah. Metode yang digunakan pada penelitian ini yaitu deskriptif kualitatif. Aspek teknis yang menunjang pada usaha budidaya udang vanname di SUPM Tegal sudah mewadahi. Aspek manajemen pada usaha ini sudah terstruktur. Aspek hukum pada usaha budidaya udang vanname di SUPM Tegal sudah legal. Aspek lingkungan pada usaha ini sudah memenuhi syarat pengendalian lingkungan. Aspek sosial ekonomi pada usaha budidaya udang vanname di SUPM Tegal sudah baik. Aspek finansiil jangka pendek dan jangka panjang pada usaha ini tergolong layak dan menguntungkan. Aspek pemasaran pada usaha ini sudah terjamin. Analisis SWOT pada usaha ini meliputi total skor dari faktor kekuatan adalah 2,46, faktor kelemahan sebesar 1,1, faktor peluang sebesar 2,46, dan faktor ancaman sebesar 0,59. Titik koordinat berdasarkan data faktor internal dan eksternal adalah sumbu horizontal (X) sebagai faktor internal (kekuatan dan kelemahan) X= 2,46 – 1,1= 1,36, sumbu vertikal (Y) sebagai faktor eksternal (peluang dan ancaman) Y=2,46 – 0,59= 1,87, yang menunjukkan bahwa sumbu X bernilai positif pada titik 1,36 dan sumbu Y yang bernilai positif pada titik 1,87. Strategi kebijakan yang tepat diterapkan pada usaha ini adalah menerapkan strategi SO (Strength Opportunity) karena mendukung pertumbuhan yang agresif.. Saran untuk SUPM Tegal agar lebih meningkatkan kekuatan dan menciptakan peluang, serta mengatasi kelemahan dan menghindari ancaman sesuai hasil penilaian SWOT pada penelitian ini. Hasil dari penelitian ini dapat dijadikan sebagai pedoman bagi orang yang ingin memulai usaha dibidang budidaya pembesaran udang vanname (Lithopenaeus vannamei)

Analysis of Selection of Alternative Materials Outer Support Solar Water Heater

In producing a product, the Manufacturing Industry always prioritizes safety, quality, and profit. One product that prioritizes these criteria is Outer Support on Solar Water Heaters. Currently, the material used in the outer support of the solar water heater is SS 304, the SS 304 material is considered too expensive, so the profits obtained by the manufacturing industry are very small. In addition, SS304 material from year to year is getting harder and harder to find. In this study, an analysis of the selection of alternative outer support materials for solar water heaters was carried out in order to obtain materials that can fulfill the outer support function at a relatively cheap price, do not reduce the outer support function and are easy to obtain or many on the market. The method used in this study uses the Analytical Hierarchy Process (AHP) and CES edupack software as the process of selecting materials. In this study, several tests of mechanical properties were carried out, namely tensile tests, hardness tests, and corrosion resistance tests to determine the mechanical properties of the material, and simulations of selected materials were carried out using Solidworks software, with the aim of knowing the maximum stress value and safety factor. The results obtained from this study obtained an alternative material, namely AISI 201 for the outer support. The results of the hardness test obtained the best hardness value in AISI 201 of 177.17 VHN. The results of the tensile test obtained a yield strength value of 390.35 MPa on AISI 201 materia

Analysis of Public Service Satisfaction using Artificial Intelligence K-Means Cluster

Public service refers to the provision of goods, services, and support by the government to meet the community's desires and needs. In order to assess the efficacy of this service, a metric for gauging service quality, referred to as the Community Satisfaction Index, has been devised. This data offers insights into the level of satisfaction within the community regarding a particular service. This study utilizes the K-Means Cluster algorithm, a form of unsupervised machine learning, to categorize data based on similarities and dissimilarities into distinct clusters. The objective of this study is to gain insight and conduct an analysis of the level of satisfaction within the community regarding the information services offered by the Communication and Information Department of West Java Province. Furthermore, the objective of this study is to ascertain the categorization of the public satisfaction index by using the K-Means Cluster technique, employing an artificial intelligence methodology. This approach will enable the identification of the public satisfaction index as well as the identification of specific indicators that necessitate enhancement. The initial step in examining the public satisfaction index through the utilization of Artificial Intelligence involves the application of the K-Means Cluster algorithm, which will generate multiple clusters based on their shared characteristics. The values utilized by each group consist of the integers 1, 2, 3, and 4. Subsequently, an assessment is conducted on each formed group in order to ascertain the most favorable outcomes. The study yielded clusters that were deemed optimal, with smaller values indicating areas in which the services could be enhanced. The present study aims to investigate the impact of Artificial Intelligence (AI) on public service quality, as measured by the Community Satisfaction Index (CSI). Specifically, we employ the K-Means clustering algorithm to analyze the data collected from a representative sample of community members. By utilizing AI techniques, we seek to gain insights into

Analysis of Public Service Satisfaction using Artificial Intelligence K-Means Cluster

Public service refers to the provision of goods, services, and support by the government to meet the community's desires and needs. In order to assess the efficacy of this service, a metric for gauging service quality, referred to as the Community Satisfaction Index, has been devised. This data offers insights into the level of satisfaction within the community regarding a particular service. This study utilizes the K-Means Cluster algorithm, a form of unsupervised machine learning, to categorize data based on similarities and dissimilarities into distinct clusters. The objective of this study is to gain insight and conduct an analysis of the level of satisfaction within the community regarding the information services offered by the Communication and Information Department of West Java Province. Furthermore, the objective of this study is to ascertain the categorization of the public satisfaction index by using the K-Means Cluster technique, employing an artificial intelligence methodology. This approach will enable the identification of the public satisfaction index as well as the identification of specific indicators that necessitate enhancement. The initial step in examining the public satisfaction index through the utilization of Artificial Intelligence involves the application of the K-Means Cluster algorithm, which will generate multiple clusters based on their shared characteristics. The values utilized by each group consist of the integers 1, 2, 3, and 4. Subsequently, an assessment is conducted on each formed group in order to ascertain the most favorable outcomes. The study yielded clusters that were deemed optimal, with smaller values indicating areas in which the services could be enhanced. The present study aims to investigate the impact of Artificial Intelligence (AI) on public service quality, as measured by the Community Satisfaction Index (CSI). Specifically, we employ the K-Means clustering algorithm to analyze the data collected from a representative sample of community members. By utilizing AI techniques, we seek to gain insights into

EFEK PAPARAN BENZENA TERHADAP PEKERJA INDUSTRI DALAM KAITAN DENGAN GANGGUAN KESEHATAN

Benzena merupakan senyawa hidrokarbon aromatik rantai tertutup tidak jenuh. Mempunyai nama lain benzol, cyclohexatrene, phenyl hydride, atau coal naphta. Benzena merupakan cairan tidak berwarna dengan bau yang khas dapat membahayakan tubuh apabila terhirup dan masuk kedalam tubuh. Pada penelitian literature review ini memiliki tujuan untuk mengetahui efek dari paparan benzene pada pekerja industri dalam kaitanya dengan gangguan kesehatan serta bahaya yang dapat ditimbulkan akibat dari paparan benzene. Metode penelitian literature review ini menggunakan berbagai jurnal penelitian yang telah dipublikasikan pada database Google Scholar dan PubMed yang kemudian didapatkan 10 jurnal. Hasil dari penelitian literature review ini didapatkan beberapa efek yang disebabkan oleh paparan benzene yaitu terdiri dari efek akut dan juga efek kronis pada paparan benzene seperti neurologis, hematologis hingga acute myeloid leukemia dan myelodysplastic syndromes hingga kematian. Kesimpulan dari penelitian literature review ini adalah semua efek dari paparan yang disebabkan oleh benzene diakibatkan oleh tingginya konsentrasi paparan dan juga intensitas lama bekerja dari pekerja

Stop Motion Animation Video: A Learning Media on Global Warming for Middle School Students

Material delivered was not innovative resulted in a loss of motivation and interest in learned students.  The used of interesting educational media such as stop motion animation videos, could complement the used of related technologies. The result of this studied was to describe production steps, examine product validation, assess readability, and assess student responses to stop motion animated videos used as global warming learned resources.  For the 35 seventh-grade students, the research was conducted on one of the MTs in Bandung Regency using an R&D (Research and Development) approach and a 3D model. The researched findings were presented as a description of the development stages, including the define, design, and develop phases involved in making stop motion animated video products (https://youtu.be/W7V3v1dP_5Y). Stop motion animated videos undergo expert validation, receiving scores of 83% from material experts, 78% from media experts, and 94% from subject teacher experts who were considered to had high validity. The readability of stop motion animation videos as teaching tools scored 90% in the easy-to-understand category, the quality of student responses scored 93% in the very positive category. Therefore, stop motion animation videos were appropriate have been used as a source of learned about global warming

Analyzing speech act in film: A pragmatic study of the Heidi movie

ENGLISH: This research analyzes the use of speech acts in the movie "Heidi." The objectives of this study are to identify the types and the meanings of speech acts used by the characters in the movie and to understand the meanings of the dialogues between the speakers and hearers selected for this research. Using a mixed method, the study examines all utterances by the characters in "Heidi" that contain speech acts. The data are classified based on the forms of speech acts according to Wijana's theories and the meanings of speech acts using Searle's theory. The findings of this research indicate 133 utterances of various types of speech acts and the meanings, including from 133 utterances found in the film Heidi, the researcher identified 5 types of speech acts and their meanings, including representatives: telling (13), insisting (5), denying (9). Directives: commanding (1), defying (6), pleading (3), requesting (2), advising (2), ordering (23), permitting (5), inviting (6), suggesting (1), and claiming (1). Expressives: praising (11), joy (2), thanking (2), sympathizing (1), apologizing (1), thanking (4), welcoming (1), deploring (1). Commissives: swearing (5), refusing (7), offering (2), promising (4), agreeing (2), threatening (4). And the last one is declaratives: naming (1). This study contributes to a deeper understanding of speech act theory and its practical application in film dialogues, highlighting the importance of context and intention in interpreting meaning in communication. INDONESIA: Penelitian ini menganalisis penggunaan tindak tutur dalam film "Heidi." Tujuan dari penelitian ini adalah untuk mengidentifikasi jenis dan makna tindak tutur yang digunakan oleh karakter dalam film serta memahami makna dari dialog antara pembicara dan pendengar yang dipilih untuk penelitian ini. Dengan menggunakan metode campuran, penelitian ini mengkaji semua ujaran oleh karakter dalam "Heidi" yang mengandung tindak tutur. Data diklasifikasikan berdasarkan bentuk tindak tutur menurut teori Wijana dan makna tindak tutur menggunakan teori Searle. Temuan penelitian ini menunjukkan 133 ujaran dari berbagai jenis tindak tutur dan maknanya, termasuk: Representatif: memberitahukan (13), menegaskan (5), menyangkal (9). Direktif: memerintah (1), menantang (6), merayu (3), meminta (2), menyarankan (2), memesan (23), mengizinkan (5), mengundang (6), menyarankan (1), dan mengklaim (1). Ekspresif: memuji (11), kegembiraan (2), berterima kasih (2), menyayangkan (1), meminta maaf (1), mengucapkan terima kasih (4), menyambut (1), menyesali (1). Komisif: bersumpah (5), menolak (7), menawarkan (2), berjanji (4), menyetujui (2), mengancam (4). Dan yang terakhir yaitu deklaratif: menamai (1). Penelitian ini berkontribusi pada pemahaman yang lebih mendalam tentang teori tindak tutur dan penerapannya dalam dialog film, menyoroti pentingnya konteks dan niat dalam menafsirkan makna dalam komunikasi. ARABIC: تهدف هذه الدراسة إلى تحليل استخدام أفعال الكلام في فيلم "هايدي". الهدف من البحث هو تحديد أنواع ومعاني أفعال الكلام التي يستخدمها الشخصيات في الفيلم، وفهم المعاني في الحوارات بين المتكلم والمستمع التي تم اختيارها للبحث. باستخدام منهج مختلط، تمت دراسة جميع الأقوال التي تحتوي على أفعال الكلام في "هايدي". تم تصنيف البيانات استنادًا إلى أشكال أفعال الكلام وفقًا لنظرية ويجانا ومعاني أفعال الكلام باستخدام نظرية سيرل. أظهرت نتائج البحث وجود 133 عبارة من مختلف أنواع أفعال الكلام ومعانيها، بما في ذلك: أفعال تمثيلية مثل إخبار (13)، تأكيد (5)، نفي (9)؛ أفعال توجيهية مثل أمر (1)، تحدي (6)، استدراج (3)، طلب (2)، اقتراح (2)، طلب حجز (23)، إذن (5)، دعوة (6)، اقتراح (1)، وتأكيد (1)؛ أفعال تعبيرية مثل إشادة (11)، فرح (2)، شكر (2)، أسف (1)، اعتذار (1)، شكر (4)، ترحيب (1)، ندم (1)؛ أفعال الالتزام مثل حلف (5)، رفض (7)، عرض (2)، وعد (4)، موافقة (2)، تهديد (4)؛ وأخيرًا أفعال إعلامية مثل تسمية (1). تسهم هذه الدراسة في فهم أعمق لنظرية أفعال الكلام وتطبيقاتها في حوارات الأفلام، مسلطة الضوء على أهمية السياق والنية في تفسير المعاني في التواص