Garuda - Garba Rujukan Digital

STUDI PENGEMBANGAN USAHATANI KELAPA SAWIT RAKYAT DI DESA GEDUNG AGUNG KECAMATAN DESA GEDUNG AGUNG KECAMATAN KIKIM TIMUR KABUPATEN LAHAT Saputra, Julian; Abubakar, Rafeah; Iswarini, Harniatun
Societa: Jurnal Ilmu-Ilmu Agribisnis Vol 5, No 2 (2016): SOCIETA
Publisher : Muhammadiyah University of Palembang

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

Study of palm oil farming development in gedung agung village of the kikim timur lahat district. This study aims determine how the development of palm oil farming in the Gedung Agung village of the Kikim Timur Lahat District. This study was conducted in January through march 2016. The method used is a survey method, methods of sampling done by simple random sampling. Data collection methods used in this study is the observation and direct interviews with respondents who have been determinet by using tools like questionnaire that has been prepared in advance. Data processing is done descriptif research results. The results showed that strengths development of farming oil palm is the experience of farmers in farming oil palm, where the land is located, the availability of capital and the price of TBS stable, weaknesses in the development of farming oil palm is the lack of knowledge and information on the development of farming coconut palm, ownership of land is narrow, capital of small farms and use of seeds of wild, opportunities in the development of farming oil palm is in increasing the opinions of farmers, the potential utilization of idle land, the prospect of their loan fund money as the KUD and the use of quality seeds and threats in the development of palm oil farming is a lot of its emerging private oil Palm plantations, lack of knowledge and skills of farmers in doing farming oil palm plantations that they had. If at any time the rainy season the oil palm plantations where inundate by water.

STUDI PENGEMBANGAN USAHATANI KELAPA SAWIT RAKYAT DI DESA GEDUNG AGUNG KECAMATAN DESA GEDUNG AGUNG KECAMATAN KIKIM TIMUR KABUPATEN LAHAT Saputra, Julian; Abubakar, Rafeah; Iswarini, Harniatun
Societa: Jurnal Ilmu-Ilmu Agribisnis Vol 5, No 2 (2016): SOCIETA
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/jsct.v5i2.542

Study of palm oil farming development in gedung agung village of the kikim timur lahat district. This study aims determine how the development of palm oil farming in the Gedung Agung village of the Kikim Timur Lahat District. This study was conducted in January through march 2016. The method used is a survey method, methods of sampling done by simple random sampling. Data collection methods used in this study is the observation and direct interviews with respondents who have been determinet by using tools like questionnaire that has been prepared in advance. Data processing is done descriptif research results. The results showed that strengths development of farming oil palm is the experience of farmers in farming oil palm, where the land is located, the availability of capital and the price of TBS stable, weaknesses in the development of farming oil palm is the lack of knowledge and information on the development of farming coconut palm, ownership of land is narrow, capital of small farms and use of seeds of wild, opportunities in the development of farming oil palm is in increasing the opinions of farmers, the potential utilization of idle land, the prospect of their loan fund money as the KUD and the use of quality seeds and threats in the development of palm oil farming is a lot of its emerging private oil Palm plantations, lack of knowledge and skills of farmers in doing farming oil palm plantations that they had. If at any time the rainy season the oil palm plantations where inundate by water.

STUDI POLA ARUS DAN POTENSI ENERGI ARUS LAUT DI PERARIAN UJONG PANCU, ACEH BESAR Saputra, Julian; Purwanto, Purwanto; Ismanto, Aris
Journal of Oceanography Vol 4, No 2 (2015)
Publisher : Program Studi Oseanografi, Jurusan Ilmu Kelautan, Universitas Diponegoro

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

Samudera Indonesia terdiri dari gugusan pulau-pulau yang membentuk selat dan dialiri arus laut. Arus laut adalah gerakan massa air laut ke arah horizontal dan vertikal dalam skala besar. Gerakan massa air itu dapat dimanfaatkan untuk pengembangan energi alternatif. Untuk itu dilakukan studi pola arus dan potensi energi arus laut guna mengetahui pola sirkulasi arus, serta mengetahui area dan besarnya potensi energi listrik yang dapat dikonversikan sehingga dapat menjadi referensi untuk pengembangan energi alternatif. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif. Penelitian dilakukan di perairan Ujong Pancu yang secara administrasif terletak di desa Lampageu, Kecamatan Peukan Bada, Kabupaten Aceh Besar. Data primer yang digunakan dalam penelitian ini adalah data arus laut yang diukur pada tanggal 31 Agustus-1 September 2014 menggunakan 2D-Current Meter Infinity EM, didukung dengan data sekunder yaitu data pasang surut dan peta bathimetri. Guna mengetahui pola arus secara umum digunakan pendekatan model hidrodinamika 2 dimensi yang dibangun menggunakan software SMS dengan metode elemen hingga (finiteelement) ADCIRC. Hasil simulasi pola arus di perairan Ujong Pancu, arus bergerak dominan ke arah tenggara dan barat laut. Pada daerah teluk arus bergerak mengikuti morfologi teluk, sedangkan pada selat Aroih Cut arus bergerak mengikuti penampang pulau. Kecepatan maksimum arus sebesar 3,41 m/det yang terjadi pada kondisi pasang menuju surut, sedangkan kecepatan arus minimum 0,02 m/det yang terjadi pada saat surut. Area yang memiliki arus dengan kecepatan 3,41 m/det adalah di Selat Aroih Cut, dimana potensi rapat daya yang dihasilkan maksimal dapat mencapai 20.414,67 W/m2.

CORAL POINT COUNT WITH EXCEL EXTENSIONS (CPCE) SOFTWARE: CORAL REEF CONDITION AT SMALL ISLANDS IN INDONESIA Utami, Risnita Tri; Yulfiperius, Yulfiperius; Supadminingsih, Fahresa Nugraheni; Saputra, Julian
JST (Jurnal Sains dan Teknologi) Vol 11, No 1 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jst-undiksha.v11i1.43337

Coral reefs are marine ecosystem that provide homes at less 25% of all marine species. In the last decade, the use of Underwater Photo Transect (UPT) methods for coral reef monitoring has gained increased popularity. This study aimed to monitoring of coral reef condition at Dua Island, Tikus Island, Belanda Island, and Dapur Island. This study used Coral Point Count with Excel extensions (CPCe) software, to increase the efficiency of coral reef monitoring efforts. Photo transects were conducted by scuba diving. Coral reef community image was capture for every 1m across 50m transect line. A total of 30 random point samples was selected for each photo frame. Multiple photo frame were combineÂ and for each point coded according to the code of each category, biota, and substrate at the random point. The results showed that the condition of the coral reefs in Bengkulu was in the fair to good category, while the condition of the coral reefs in the Seribu Islands was in the poor to fair category. The most common coral genera found in Bengkulu are Porites and Pocillopora, while in the Seribu Islands are Porites and Acropora.

Automatic Birdsong Splitting and Syllabic Analysis of Jalak Suren Agi Prasetiadi; Julian Saputra
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.1091

The study of birdsong has received relatively limited attention in the field of artificial intelligence, despite its long-standing intrigue and the question of whether birds possess a form of language. Previous research has provided evidence suggesting the presence of structurally organized words recognized by birds, such as the strong reactions observed in Japanese tits and Pied babblers when exposed to specific sequences of artificially played calls. Altering the speed of a sequence also influences the birds' responses, further supporting the existence of organized linguistic units in avian vocalizations. In this study, we propose a novel approach for analyzing birdsong by employing automatic syllable segmentation and syllabic similarity analysis. Our focus is on the Jalak Suren species (Sturnus contra), renowned for its melodious song. Through the identification and categorization of distinct syllabic units in birdsong recordings, we investigate the statistical occurrence of these syllables within the sequence of birdsong. Our findings reveal remarkable similarities between the statistical occurrence of syllables in birdsong and those found in human language passages

Minimalist DCT-based Depthwise Separable Convolutional Neural Network Approach for Tangut Script Agi Prasetiadi; Julian Saputra; Imada Ramadhanti; Asti Dwi Sripamuji; Risa Riski Amalia
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 2 (2023): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v3i2.1106

The Tangut script, a lesser-explored dead script comprising numerous characters, has received limited attention in deep learning research, particularly in the field of optical character recognition (OCR). Existing OCR studies primarily focus on widely-used characters like Chinese characters and employ deep convolutional neural networks (CNNs) or combinations with recurrent neural networks (RNNs) to enhance accuracy in character recognition. In contrast, this study takes a counterintuitive approach to develop an OCR model specifically for the Tangut script. We utilize shorter layers with slimmer filters using a depthwise separable convolutional neural network (DSCNN) architecture. Furthermore, we preprocess the dataset using a frequency-based transformation, namely the Discrete Cosine Transform (DCT). The results demonstrate successful training of the model, showcasing faster convergence and higher accuracy compared to traditional deep neural networks commonly used in OCR applications.

Title

Found 6 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 6 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 6 Documents
Search