PENAMBAHAN KONSENTRASI TEPUNG KEONG MAS (Pomacea canaliculata) DALAM PAKAN PELET TERHADAP BERAT BADAN IKAN LELE DUMBO (Clarias gariepinus)

Penelitian ini dilatarbelakangi oleh permasalahan rendahnya kuantitas berat badan ikan lele dumbo (Clarias gariepinus) yang dialami oleh para petani ikan lele di daerah kecamatan Maniis, kabupaten Purwakarta. Tujuan dari penelitian ini adalah untuk mendapatkan informasi tentang Bagaimana pengaruh penambahan konsentrasi tepung keong mas (Pomacea canaliculata) dalam pakan pelet terhadap berat badan ikan lele dumbo (Clarias gariepinus). Metode penelitian yang digunakan dalam penelitian ini adalah metode eksperimen dengan desain Rancangan Acak Lengkap (RAL). Dalam penelitian ini dilakukan 6 perlakuan yang berbeda dengan salah satu perlakuan sebagai perlakuan kontrol. Perlakuan terdiri dari perlakuan A dengan komposisi pelet 70% : tepung keong mas 30%, B dengan komposisi pelet 60% : tepung keong mas 40%, C dengan komposisi pelet 50% : tepung keong mas 50%, D dengan komposisi pelet 40% : tepung keong mas 60%, E dengan komposisi pelet 30% : tepung keong mas 70%, F dengan komposisi pelet murni tanpa campuran tepung keong mas. Berdasarkan analisis dan uji hipitesis diketauhui bahwa taraf signifikansi adalah 0,093 > 0,05, sehingga dapat disimpulkan bahwa terdap pengaruh yang signifikan dari perlakuan yang dilakukan. Dari keenam perlakuan diketahui bahwa perlakuan A dengan komposisi pelet 70% : tepung keong mas 30% adalah perlakuan yang paling baik hal ini dibuktikan dengan rata-rata penambahan bobot ikan lele selama 20 hari penelitian secara berurutan mencapai 16,26 gram. Saran bagi penelitian selanjutnya adalah untuk menghindari kesalahan yang terjadi pada proses penelitian seperti yang terjadi pada penelitian ini sebagai mana yang telah diuraikan sebelumnya, maka peneliti menyarankan bagi agar pada penelitian selanjutnya dilakukan persiapan lebih matang. Kata Kunci: Konsentrasi tepung keong mas, berat badan ikan lel

HUBUNGAN POLA ASUH ORANG TUA DENGAN PERKEMBANGAN BAHASA ANAK USIA DINI

Kajian ini dilakukan dengan tujuan mendeskripsikan hubungan pola asuh orang tua dengan perkembangan bahasa anak usia dini. Hal ini dilakukan sebagai upaya peningkatan mutu pendidikan khususnya pengembangan kemampuan bahasa anak usia dini. Hal ini dilakukan karena ketidakmerataan kemampuan komunikasi anak usia dini yang notabene berpengaruh terhadap ketercapaian tujuan pendidikan di lembaga pendidikan anak usia dini. Permasalahan lain yang melatarbelakangi kajian ini adalah rendahnya kesadaran masyarakat dalam mendukung perkembangan peserta didik. Orang tua peserta didik cenderung ‘pasrah’ kepada guru-guru di Satuan Pendidikan dalam hal perkembangan peserta didik. Selain itu, orang tua peserta didik juga memberikan tekanan kepada peserta didik untuk giat belajar agar dapat berprestasi. Hal ini berakibat buruk pada perkembangan peserta didik yang notabene juga berpengaruh pada proses pembelajaran di Satuan Pendidikan. Berdasarkan permasalahan-permasalahan di tersebut, dilakukan kajian ini untuk menguraikan hubungan antara pola asuh orang tua dengan perkembangan bahasa anak usia dini

HADIS NABI TENTANG KEBOLEHAN BERDUSTA (STUDI MA’ANI AL-HADIS)

Dusta yang dalam bahasa Arabnya di sebut kazab, yang pada dasarnya Diharamkan oleh syari'at, kini semakin marak terjadi, baik dusta itu disengaja maupun tidak.di sengaja. Rasulullah saw bersabda, bahwa orang yang berdesak­ desakkan dalam kedustaan itu sebagaimana tempat tidur dalam neraka. Dusta itu biasanya sering dilakukan pada diri sendiri maupun pada orang lain. Pada dasamya mereka tahu, bahwa dusta itu dilarang oleh syari'at, tetapi karena dusta itu demi kebaikan, maka mereka beranggapan bahwa dusta itu dibolehkan. Dusta dan bohong memang artinya sama, yaitu meniberitahu sesuatu tetapi tidak sebenamya. Dusta lebih khusus pada perkataan, sedangkan bohong mengarah :pada keadaan atau s:ituasi kondisl. Karena itu, daJam skripsi ini yang di pakai adalah kata dusta. Dari fenomena ini, maka setiap amal manusia, amal baik maupun amal buruk, pasti dicatat, entah itu dusta atau bukan, kecuali kedustaan itu dalam tiga hal, yaitu seorang suami yang berdusta kepada istrinya untuk menjadikannya rida, atau seorang yang berdusta dalam siasat perang, atau seseorang yang berdusta di antara dua orang muslim (yang berselisih) untuk mendamaikan antara keduanya. Kadang-kadang dusta itu lebih bennanfaat dan lcbih masJahat. sehingga dusta itu diperbolehkan, bahkan kadang.:kadang menjadi wajib. Dalam konsep Islam, hubungan antar individu dan bangsa-bangsa ada1ah hubungan perdamaian Perang merupakan kemungkinan yang akan menjadi wajib pada waktu dan dengan syarat-syarat tcrtcntu . Kanm Muslim belajar dari al-Qur'an bahwa tujuan Allah menciptakan uma1 manusia dengan berbeda-beda bangsa adalah agar mereka berhubungan satu sama lain dengan damai. Adapun signifikansi dari penelitian ini adalah untuk melihat secara kritis mengenai dusta yang diperbolehkan (studi ma'ani al-Hadis) . Kemudian bagaimana implikasinya dalam konteks sosial. Kerangka kei:ia yang di pakai oleh penyusun untuk mene]iti hadis-hadis dusta yang diperbolehkan ada ah pendekatan Ma’ani al-Hadis.. dengan menggunakan kaedah ma'anil yang dikemukakan oleh para ulama sebagai acuan. Untuk ma'ani al-hadis tentang dusta yang diperbolehkan, nampaknya memerlukan penelitian lebih jauh dengan mempertimbangkan latar belakang historis kemunculan hadis dusta yang diperbolehkan, serta aspek sosial. Penelitian ini juga bersifat kepustakaan mumi yang didasarkan pada kutub al-tis'ah sebagai sumber data primer dan buku-buku lain yang terkait dengan dusta yang diperbolehkan

Brainport, Highway pilot, detection car reference laps

Scenario description: The detection car drives around the track in manual mode, at an average speed close to laps for detections, but with all detections systems disabled. Session description: 25 laps with VW Tiguan on Automotive Campus Test Track Datasets descriptions: AUTOPILOT_BrainPort_HighwayPilot_AdasCommand: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle AUTOPILOT_BrainPort_HighwayPilot_Anomaly: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_HighwayPilot_Hazard: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_HighwayPilot_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p

Brainport, Highway pilot, car in manual mode, IMU detection

Scenario description: The detection car drives around the track in manual mode, with IMU detection ON. Session description: 25 laps with VW Tiguan on Automotive Campus Test Track Datasets descriptions: AUTOPILOT_BrainPort_HighwayPilot_AdasCommand: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle AUTOPILOT_BrainPort_HighwayPilot_Anomaly: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_HighwayPilot_Hazard: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_HighwayPilot_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p

Brainport, Highway pilot, road side camera detection

Scenario description: The road side camera detects objects (obstacle) on the test track and publishes the ANO IoT message. Session description: 10 minute observation of a section of the Automotive Campus Test Track Datasets descriptions: AUTOPILOT_BrainPort_HighwayPilot_AdasCommand: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle AUTOPILOT_BrainPort_HighwayPilot_Anomaly: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_HighwayPilot_Hazard: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_HighwayPilot_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p

Brainport, Highway pilot, car in manual mode, but receiving adaption instructions

Scenario description: The driving adaptation car is driven around the track in manual mode, but driving instructions are communicated to the driver. Session description: 12 laps with Jaguar F-Pace on Automotive Campus Test Track Datasets descriptions: AUTOPILOT_BrainPort_HighwayPilot_AdasCommand: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle AUTOPILOT_BrainPort_HighwayPilot_Anomaly: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_HighwayPilot_Hazard: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_HighwayPilot_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p

Brainport, Highway pilot, detection car, manual mode, camera and IMU detection on

Scenario description: The detection car drives around the track in manual mode, with Camera and IMU detection ON. Session description: 25 laps with VW Tiguan on Automotive Campus Test Track Datasets descriptions: AUTOPILOT_BrainPort_HighwayPilot_AdasCommand: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle AUTOPILOT_BrainPort_HighwayPilot_Anomaly: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_HighwayPilot_Hazard: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_HighwayPilot_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p