DAFTAR ISI

BUANA ILMU ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
DAFTAR ISI
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Emotional Intelligence ◽  
High Schools ◽  
Raspberry Pi ◽  
English Learning ◽  
Activity Based Costing ◽  
Learning Achievement ◽  
Vocational High Schools ◽  
Costing System

DAFTAR ISI 1. ANALISIS DETERMINASI BIAYA PRODUKSI DENGAN PENDEKATAN ACTIVITY BASED COSTING SYSTEM (ABC SYSTEM) (STUDI KASUS DI UD. PRIMA BHAKTI KARAWANG) Ade Suhara, Bona Herman Sianturi .....................…………………………………1 - 10 2. FENOMENA AKAD NIKAH VIA TELEPHON Haerudin ..........................………………………………………… …………….11 - 32 3. PENGARUH KOMPETENSI DOSEN TERHADAP KINERJA AKADEMIK DAN KEPUASAN MAHASISWA: STUDI KASUS KELAS INTERNASIONAL DI PROGRAM STUDI MANAJEMEN DAN AKUNTANSI FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS SINGAPERBANGSA KARAWANG (2017-2018) Made Panji Teguh Santoso, Novian Ekawaty ............………………. …………33 - 50 4. THE INFLUENCE OF EMOTIONAL INTELLIGENCE AND MOTIVATION TOWARDS STUDENT’S ENGLISH LEARNING ACHIEVEMENT At state vocational high schools in karawang Asep Darojatul Romli ...……………………………………………………… 51 - 61 5. SISTEM INFORMASI DATA PENDUDUK BERBASIS ANDROID DAN WEB MONITORING STUDI KASUS PEMERINTAH KOTA KARAWANG (Penelitian dilakukan di Kab. Karawang) Baenil Huda…………………………………………..………………………………62 – 69 6. ANALISIS PERAN SELF EFFICACY DAN MOTIVASI KERJA TERHADAP KINERJA MARKETING DEALER WIJAYA TOYOTA SUBANG Enjang Suherman, Citra Savitri ………………………………………………….70 - 89 7. PENGARUH PELATIHAN KERJA DAN PENGEMBANGAN SDM TERHADAP KINERJA KARYAWAN Dadan Ahmad Fadili, Rd. Dwi Yulianti S , Aji Tuhagana, Asep Jamaludin…….80 – 85 8. PENGARUH PERPUTARAN KAS, PERPUTARAN PIUTANG DAN PERPUTARAAN PERSEDIAAN TERHADAP LIKUIDITAS PERUSAHAAN SUB SEKTOR LOGAM DAN SEJENISNYA YANG TERDAFTAR DI BEI 2011-2016 Indra Wijaya……………………………………………………………………............. 86 - 103 9. PENERAPAN ARTIFICIAL NEURAL NETWORK UNTUK KLASIFIKASI FERTILITAS TELUR ITIK MENGGUNAKAN RASPBERRY PI Jamaludin Indra ………………..……………………………………………….104 – 118 10. ANALISIS KEPUASAN PENGGUNA TERHADAP LAYANAN APLIKASI MEDIA SOSIAL WhatsApp MOBILE ONLINE Shofa Shofiah Hilabi, Priati ……………………………………………………….119 – 136 11. ANALISIS PELAKSANAAN PERANAN PUSAT PELAYANAN TERPADU PEMBERDAYAAN PEREMPUAN DAN ANAK DALAM MENINGKATKAN PERLINDUNGAN ANAK (STUDI KASUS DI P2TP2A KABUPATEN KARAWANG) Abdul Kholiq ……………………………………………………………………137 – 152 12. HAK MENDAHULUI UPAH PEKERJA DALAM PERKARA KEPAILITAN (ANALISIS PUTUSAN MK NO. 18/PUU-VI/2008 JO NO. 67/PUU-XI/2013) Muhamad Abas …………………………………………………………………153 - 170

scholarly journals PENGARUH PERSEPSI ATAS LINGKUNGAN SEKOLAH DAN KEDISIPLINAN TERHADAP PRESTASI BELAJAR BAHASA INGGRIS

2020 ◽  
Vol 3 (2) ◽  
pp. 132
Author(s):  
Suhendra Suhendra ◽  
Supeno Supeno
Keyword(s):  
High Schools ◽  
Hypothesis Testing ◽  
School Environment ◽  
Survey Method ◽  
English Learning ◽  
Vocational High School ◽  
Learning Achievement ◽  
The Third ◽  
Vocational High Schools ◽  
Perceptions Of School

The purpose of this study was to determine the effects of perceptions of school environment and discipline jointly towards English learning achievement, the effect of perceptions of school environment towards English learning achievement, the effect of discipline towards English learning achievement at Private Vocational High Schools in Kabupaten Tangerang. The research method used in this study is the survey method. Sample of 47 students was selected randomly from all private vocational students in Kabupaten Tangerang. Based on data analysis, it can be concluded that: 1) The results of the first hypothesis testing concluded that there was a significant effect of perception of school environment and discipline jointly towards English learning achievement at private vocational high schools in Kabupaten Tangerang. This is proved by the value of sig. 0,000 <0.05 and Fh = 35,702. 2) The results of the second hypothesis testing concluded that there was a significant effect of perceptions of  school environment towards English learning achievement at private vocational high school in Kabupaten Tangerang. This is proved by the value of Sig. 0,000 <0.05 and th = 5,750. 3) The results of the third hypothesis testing concluded there was a significant effect of discipline towards English learning achievement at private vocational high schools in Kabupaten Tangerang. This is proved by the value of Sig. 0,000 <0.05 and th = 4,901.

scholarly journals PENGARUH KECERDASAN INTELEKTUAL, EMOSIONAL DAN SPIRITUAL TERHADAP PRESTASI BELAJAR PENDIDIKAN KEWARGANEGARAAN

2019 ◽  
Vol 10 (01) ◽  
pp. 1-21
Author(s):  
Heri Kurnia
Keyword(s):  
Emotional Intelligence ◽  
High Schools ◽  
Civic Education ◽  
Significant Influence ◽  
Citizenship Education ◽  
Regression Equation ◽  
Spiritual Intelligence ◽  
Regression Equations ◽  
Learning Achievement ◽  
The City

This study aims to find out: 1). the effect of intellectual intelligence on learning achievement in Civic Education, 2). the effect of emotional intelligence on learning achievements in Civic Education, 3). the influence of spiritual intelligence on learning achievements in Civic Education and 4). the effect of simultaneous intellectual, emotional and spiritual intelligence on the learning achievement of Citizenship Education. The population of this study was all students of State Senior High Schools in the City of Yogyakarta 2016/2017 academic year consisting of 11 State Senior High Schools with a total of 8073 students. Determination of the sample is done by simple random sampling technique . Of the 11 Public High Schools in the City of Yogyakarta, 367 students were sampled, with the provisions that each associated State High School sampled were class X students and class XI students. Data on intellectual intelligence and learning achievements in Civic Education were obtained from documents, data on emotional intelligence and spiritual intelligence were obtained through questionnaires. Data analysis techniques used to test hypotheses are simple regression and multiple linear regression. The results of the study were concluded 1). there is a positive and significant influence of intellectual intelligence on the learning achievement of Citizenship Education, with sig. (P) equal to 0,000 <0.05 regression equation of 0.119. 2). There is a positive but insignificant influence of emotional intelligence on the learning achievement of Citizenship Education, with sig. (P) of 0.119> 0.05 regression equation of -0.064. 3). There is a positive but insignificant influence of spiritual intelligence on the learning achievement of Citizenship Education, with sig. (P) of 0.365> 0.05 regression equations of 0.040. 4). There is a positive and significant influence of intellectual, emotional and spiritual intelligence on the learning achievement of Citizenship Education, with sig. (P) 0,000 <0.05. The magnitude of the coefficient of determination (adjusted R2) = 0.051 means simultaneously independent variables affect the dependent variable of 5.1% for the remaining 94.9% is influenced by variables that are not included in this study.

scholarly journals PENERAPAN ARTIFICIAL NEURAL NETWORK UNTUK KLASIFIKASI FERTILITAS TELUR ITIK MENGGUNAKAN RASPBERRY PI

BUANA ILMU ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Jamaludin Indra
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Artificial Neural Network ◽  
Raspberry Pi ◽  
Detection Accuracy ◽  
Neural Network Method ◽  
Network Method ◽  
Artificial Neural Network Method ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

ABSTRAK Artificial Neural Network (ANN) telah banyak diterapkan pada berbagai bidang, salah satunya penerapan pada bidang peternakan. Penetasan menggunakan mesin penetas telur, proses pengklasifikasian embrio telur menjadi sangat penting dalam proses penetasan untuk membedakan antara yang layak, berdasarkan adanya perkembangan embrio yang dapat dilanjutkan dalam proses inkubasi atau tidak layak (fertile atau infertile), dalam penelitian ini menyajikan klasifikasi menggunakan teknik pengolahan citra digital menggunakan metode artificial neural network yang diaplikasikan pada Raspberry Pi sebagai pemroses gambar dan menampilkan hasil klasifikasi. Dengan metode artificial neural network dan penggunaan Raspberry Pi mampu mencapai akurasi pendeteksian 95%. Kata kunci: Artificial Neural Network, Pengolahan Citra Digital, Embrio , Klasifikasi, Telur . ABSTRACT Artificial Neural Network (ANN) has been widely applied in various fields, one of which is the application in the field of animal husbandry. Hatching using an egg incubator machine, the classification process of egg embryos is very important in the hatching process to distinguish between the appropriate, based on the embryonic development that can be continued in the process of incubation or inadequate (fertile or infertile), in this study presents classification using image processing techniques digital uses the artificial neural network method that is applied to the Raspberry Pi as an image processor and displays the classification results. With the artificial neural network method and the use of Raspberry Pi it is expected to be able to achieve 90% detection accuracy. Key word : Artificial Neural Network, Digital Image Processing, Embriyo, Calssification, Egg.

scholarly journals Desain Sistem Informasi Cerdas pada Smart Grid Berbasis Internet of Things dan Artificial Neural Network

2021 ◽  
Vol 4 (1) ◽  
pp. 11-19
Author(s):  
Muhammad Ridwan Arif Cahyono ◽  
Surya Wirawan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Internet Of Things ◽  
Smart Grid ◽  
Black Box ◽  
Raspberry Pi ◽  
Mean Square ◽  
Layer Neuron ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Smart grid merupakan sistem kelistrikan yang memungkinkan pengguna untuk melakukan proses menjual dan membeli daya listrik. Pada penelitian ini dirancang model smart grid dengan sumber daya dari listrik PLN dan panel surya yang terhubung dengan beban. Beban yang digunakan memiliki daya maksimal 40 W dan panel surya yang digunakan memiliki kapasitas 100 Wp. ESP32 digunakan sebagai perangkat Internet of Things, yang digunakan sebagai pengukur dan pengontrol daya listrik yang akan dijual atau dibeli. Raspberry Pi digunakan sebagai web server pengolah data dari smart grid. Aplikasi “Smart Grid Dikti” merupakan aplikasi berbasis android yang dapat digunakan untuk melakukan pemantauan serta pengaturan dalam sistem smart grid tersebut. Aplikasi android tersebut telah diuji coba dengan metode Black Box, dengan hasil pengujian 100% berhasil. Kecerdasan buatan berbasis Artificial Neural Network (ANN) dengan metode backpropagation diimplementasikan dalam sistem smart grid yang berfungsi sebagai pengaturan otomatis dalam proses jual dan beli daya listrik. ANN yang digunakan memiliki 3 input, 2 layer neuron, 3 output, dan masing-masing layer memiliki 4 neuron yang diimplementasikan ke dalam bahasa Python. Setelah pelatihan sebanyak 11.000 kali, didapatkan Root Mean Square  Error (RMSE) sebesar 0,12151 dan pada saat uji coba didapatkan RMSE sebesar 0,10500 dengan akurasi rata-rata sebesar 89,50%.

scholarly journals Implementation of Grading Method for Gambier Leaves Based on Combination of Area, Perimeter, and Image Intensity Using Backpropagation Artificial Neural Network

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1308
Author(s):  
Rusydi ◽  
Anandika ◽  
Rahmadya ◽  
Fahmy ◽  
Rusydi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Artificial Neural Networks ◽  
Raspberry Pi ◽  
Grade 5 ◽  
Artificial Neural ◽  
Real Time Application ◽  
Leaf Image ◽  
Backpropagation Artificial Neural Network

Gambier leaves are widely used in cosmetics, beverages, and medicine. Tarantang village in West Sumatera, Indonesia, is famous for its gambier commodity. Farmers usually classify gambier leaves by area and color. They inherit this ability through generations. This research creates a tool to imitate the skill of the farmers to classify gambier leaves. The tool is a box covered from outside light. Two LEDs are attached inside the box to get maintain light intensity. A camera is used to capture the leaf image and a raspberry Pi processes the leaf features. A mini monitor is provided to operate the system. Six hundred and twenty-five gambier leaves were classified into five grades. Leaves categorized into grades 1, 2, and 3 are forbidden to be picked. Grade 4 leaves are allowed to be picked and those in grade 5 are the recommended ones for picking. Leaf features are area, perimeter, and intensity of leaf image. Three artificial neural networks are developed based on each feature. One thousand leaf images were used for training and 500 leaf images were used for testing. The accuracies of the features are about 93%, 96% and 97% for area, perimeter and intensity, respectively. A combination of rules are introduced into the system based on the feature accuracy. Those rules can give 100% accuracy compared to the farmer’s recommendation. A real time application to classify the leaves could provide classification with the same decision result as the classifying performed by the farmers.

scholarly journals THE INFLUENCE OF EMOTIONAL INTELLIGENCE AND MOTIVATION TOWARDS STUDENT’S ENGLISH LEARNING ACHIEVEMENT At state vocational high schools in karawang

BUANA ILMU ◽  
2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Asep Darojatul Romli ◽  
Asep Jamaludin
Keyword(s):  
Emotional Intelligence ◽  
Path Analysis ◽  
Creative Thinking ◽  
Sampling Technique ◽  
Survey Method ◽  
English Learning ◽  
Direct Influence ◽  
Learning Achievement ◽  
First Semester ◽  
Thinking Ability

ABSTRACT The purpose of research is to know and explain the effect of emotional intelligence on motivation, to know and explain the effect of emotional intelligence on English learning achievement, to know and explain the influence of motivation ability on English learning achievement and to know and explain the influence of emotional intelligence on learning achievement English through motivation. The research method used is survey method. Population in this research is all students of class X of first semester of SMKN 1 Karawang. The sampling technique used is cluster random sampling, the sample is taken randomly according to the class that has been formed. So, the sample in this study as many as 18 people from the total population of 192 people. The research instrument consists of three types of tests, namely the questionnaire of emotional intelligence, motivation questionnaire and English achievement test with the subject of the circle. Analysis of statistical data to test the hypothesis in this study using Path Analysis (Path Analysis). Statistic test is used t test. The results showed: (1) direct influence of emotional intelligence on motivation, (2) direct influence of emotional intelligence on English learning achievement, (3) direct influence of emotional intelligence to English learning achievement and (4) indirect effect of lateral thinking ability toward English learning achievement through creative thinking ability. Keywords: Emotional Intelligence, Motivation and English learning achievement

scholarly journals Pengembangan Smart Home System Berbasis Kecerdasan Buatan untuk Memanajemen Konsumsi Energi Rumah Tangga dengan Pendekatan Finansial

2021 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Ihsan Auditia Akhinov ◽  
Muhammad Ridwan Arif Cahyono
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Internet Of Things ◽  
Smart Home ◽  
Web Server ◽  
Black Box ◽  
Raspberry Pi ◽  
Artificial Neural ◽  
Online Web

Teknologi rumah pintar yang dikembangkan saat ini belum sepenuhnya mampu mendukung program konservasi energi yang dicanangkan pemerintah. Selain Saat ini kontrol untuk pengaturan rumah pintar masih dilakukan secara manual, belum sepenuhnya otomatis. Pada penelitian ini akan dibangun sistem rumah pintar yang dikendalikan oleh kecerdasan buatan untuk mengendalikan pemakaian energi berdasarkan besaran nilai tagihan bulanan. ESP32 digunakan sebagai perangkat Internet of Things (IoT) yang berfungsi mendeteksi keberadaan manusia dan mengukur energi listrik yang dikonsumsi. Data-data tersebut disimpan dalam online web server yang dibangun dari Raspberry Pi. Sistem ini dapat dimonitor dan dikendalikan oleh aplikasi berbasis Web. Aplikasi ini sudah diuji dengan menggunakan metode Black Box, hasilnya 100% aplikasi berjalan lancar. Artificial Neural Network diimplementasikan menggunakan bahasa Python, dengan 4 input, 2 layer, dan 4 output dimana masing-masing layer terdiri dari 4 neuron. Variabel masukan yang digunakan dalam ANN yaitu intensitas cahaya, temperatur ruangan, durasi waktu penggunaan ruangan, dan target biaya bulanan, sedangkan keluaran dari ANN ini yaitu durasi penggunaan peralatan listrik, dalam purwarupa ini yaitu durasi penggunaan AC, TV, refrigerator, dan lampu. Sistem sudah mampu berjalan dengan baik, mampu memberikan rekomendasi durasi maksimal penggunaan peralatan listrik dengan tingkat kesalahan sebesar 1,64%.

scholarly journals Implementation of a Raspberry Pi Trainer for the Subject of Microprocessors and Microcontrollers in Vocational High Schools

2018 ◽  
Vol 24 (1) ◽  
pp. 147-154
Author(s):  
Enjang Akhmad Juanda ◽  
Nurul Wahidah ◽  
M. Khairudin ◽  
Z. Mohamed
Keyword(s):  
High Schools ◽  
Learning Process ◽  
Qualitative Method ◽  
Learning Activities ◽  
Raspberry Pi ◽  
Descriptive Data ◽  
The Subject ◽  
Vocational High Schools

A Raspberry Pi Trainer is a tool which is able to support and facilitate the learning process of the subject of microprocessors and microcontrollers.  The objective of this study was to find out the process and the results of the implementation of a Raspberry Pi Trainer for the subject of microprocessors and microcontrollers in the expertise program of industrial electronics in vocational high schools. This study used a qualitative method. The descriptive data were resulted from the observed students’ behavior in the form of the research informants’ activities covering the domains of cognitive, psychomotor, and affective. There were 20 informants divided into two classes, 10 in class XII A and 10 in class XII B. Each class consisted of 2 males and 8 females. The results showed the Raspberry Pi Trainer was well applied in practical learning activities. The average abilities of class XII B and class XII A for the domains of cognitive, psychomotor and affective were categorized as very good, good and moderate respectively. 

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