18 research outputs found
PENCIPTAAN BATIK MOTIF EKSELSA PADA BUSANA CASUAL
No full textBiji kopi ekselsa merupakan salah satu jenis biji kopi yang beredar secara komersial di dunia, termasuk di Indonesia.Biji Kopi Ekselsa memiliki bentuk yang cukup unik mirip dengan tetesan air dan berukuran kecil berbeda dengan varietas biji kopi lainnya.Kekaguman penulis akan biji kopi ekselsa menggugah keinginan untuk membuat karya batik yang mengangkat motif biji kopi ekselsa sebagai sumber ide dan diaplikasikan pada busana casual. Inspirasi yang diambil lebih ke bentuk visual dari biji kopi ekselsa tersebut. Landasan penciptaan pada proses penciptaan tugas akhir ini menggunakan metode penciptaan dengan 3 tahap yang diperkenalkan oleh Gustami, yaitu dimulai dari tahap eksplorasi, dengan melakukan pengamatan melalui media internet. Tahap dua yaitu perancangan desain, dimulai dengan alternatif desain untuk dipilih sebagai motif batik yang diaplikasikan pada busana casualdan terakhir tahap perwujudan yang diterapkan pada keseluruhan karya dengan menggunakan bahan pewarna remasol. Diawali dari proses pola, nyorek, membatik, mewarna, melorod, menjahit hingga finishing. Batik tulis merupakan batik yang dibuat dengan menggunakan alat utama canting tulis sebagai alat melekatkan malam.Batik digunakan sebagai motif baju, salah satunya baju casual.Busana casual merupakan busana yang dikenakan sehari-hari dan dalam suasana santai atau tidak formal, namun harus disesuaikan dengan kegiatan yang sedang dilakukan, misalnya dirumah, kuliah, belanja, jalan-jalan.Batik dengan motif Biji Kopi Ekselsa diwujudkan menjadi busana casual dengan menggunakan pewarnaan remasol yang berwarna coklat keemasan, coklat tua, dan hitam sebagai warna utama.Pada karya tugas akhir ini menghasilkan 4 karya yang berjudulMandala, Aamodini, Saujana, Dan Dara
Value engineering on the designed operator work tools for brick and rings wells production
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Allah Mencari Manusia Berdosa: Sebuah Analisa Sastra Teks Kejadian 3:8-19
No full textGenesis chapter 3 narrates the entry of sin into the world and its consequence, original sin, for all of humanity. Amid this darkness, there is a glimmer of hope in the narrative, as God actively seeks out sinful humanity. This study aims to examine God's response to humankind after the fall into sin. Utilizing a qualitative literature study method, this research conducts a literary analysis of Genesis 3:8-19. The analysis includes translating the BHS text, constructing the text’s structure, character analysis, literary structure, and examining the dramatic flow of the text. The literary analysis yields three key findings. First, it is God who takes the initiative to seek out humanity after the fall into sin. God’s role as the protagonist in this narrative serves as key evidence of His desire to communicate with and save fallen humanity. The context of the fall and God's initiative to approach humanity underscores His pivotal role as the protagonist in this story. Second, while God seeks out sinners, His discipline still applies to those who violate His commands. This is clearly reflected in the dramatic structure intentionally crafted by the biblical author. Third, God takes the initiative to provide a solution to the problem of sin. The enmity established by God between the serpent and the offspring of the woman indicates His effort to deliver humanity from the bondage of sin
Flood-prone Areas Mapping at Semarang City by Using Simple Additive Weighting Method
No full textAbstractSemarang city is one of the cities in Java which is flooding frequently. This research develops Mapping of Flood-Prone Areas which is analyzed as the reasons of local flooding. Local flooding happens only in certain places where the rain falls. The criteria used are rain falls, topography, drainage, and the usage of land. There are many aspects that have to be analyzed, so that uses Simple Additive Weighting in order to determinate flood-prone areas. The advantages of this mapping of flood-prone areas are the user can easily access the informations about flood-prone areas that will be displayed in the form of a map, graphic, and table
SISTEM PENDETEKSI SEPEDA MOTOR PELANGGAR MARKA JALAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORKS (CNNs)
No full textBanyaknya pelanggaran lalu lintas yang terjadi saat ini baik yang dilakukan oleh pengendara mobil atau sepeda motor merupakan cerminan dari kepribadian suatu bangsa. Pelanggaran terjadi karena kurangnya kedisiplinan pengendara dalam mematuhi rambu lalu lintas dan marka jalan yang ada. Pelanggaran lalu lintas menjadi masalah yang serius karena dari pelanggaran ini dapat berpotensi menjadi kecelakaan lalu lintas. Tidak mampunya petugas untuk mengawasi pengendara selama 24 jam membuat pelanggaran terus saja terjadi. Oleh karena itu untuk membantu mengatasi masalah tersebut dibuatlah sistem pendeteksi sepeda motor pelanggar marka jalan menggunakan metode Convolutional Neural Networks (CNNs). Pelanggaran yang dideteksi merupakan sepeda motor yang berhenti melewati stop line pada saat lampu merah menyala. Data yang digunakan merupakan video dari rekaman CCTV milik Dinas Perhubungan Kota Bandung yang diambil selama 10 hari agar video yang diperoleh bervariasi. Data yang diperoleh merupakan video dengan format .mp4 sehingga harus dilakukan transformasi citra terlebih dahulu agar bisa diproses ke tahap selanjutnya. Sistem menggunakan metode deep learning yaitu CNNs dengan 5 layer yang terdiri dari 2 layer konvolusi dan 3 layer fully connected. Untuk memudahkan proses klasifikasi, data melakukan praproses terlebih dahulu yang terdiri dari pelabelan data, scalling, konversi citra, dan normalisasi. Hasil dari percobaan dengan menggunakan 3000 data yang terdiri dari 2 kelas data yaitu motor dan non motor menunjukkan akurasi sebesar 95,94%. Hasil akurasi tersebut menunjukkan bahwa sistem sudah cukup baik dalam mendeteksi sepeda motor pelanggar marka jalan.
The large amount traffic of that happens now a day, whether by motorist or car driver is reflection of the personality of a nation. This violation happen due to lack of discipline of drivers in obeying traffic sign and road marking that exist. Traffic violations is a serious problem because it can occur traffic accident. The officers cannot supervise drivers for 24 hours, therefore the author makes motorcycle detection system that violated road markings using Convolutional Neural Networks (CNNs). The detected violation system is when a motorcycle stops passing through the stop line when the red light is activated. The data that used in this research is a video that author got from Departement of Transportation Bandung wich was taken for 10 days, so the videos that obtained have a lot of variety. The obtained data is .mp4 video so we must transformed the video to image first. The system uses the deep learning method, that is CNNs with 5 layers consisting of 2 convolution layers and 3 layers fully connected. Before make classification, we must make the data praprocesses. The data praprocesses consist of data labeling, scalling, image conversion, and normalization. The results of the experiment using 3000 data consisting of 2 class data that is motorcycle and non motorcycle showed accuracy 95.94%. The results of this accuracy indicate that the system is quite good at detecting motorbike off road markers
EVALUASI STRUKTUR DOWNSTREAM SUPLY CHAIN USAHA BUDIDAYA IKAN BANDENG TERHADAP PROFIT PELAKU USAHA DENGAN PENDEKATAN SIMULASI DINAMIK (Studi Kasus: Budidaya Ikan Bandeng Desa Kalanganyar, Kabupaten Sidoarjo )
No full textJika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email [email protected], [email protected], [email protected]
Implementasi Metode Fuzzy Tsukamoto Dalam Memprediksi Jumlah Produksi TMG
No full textAbstrak: Usaha kuliner adalah salah satu usaha yang banyak digemari dan diminati oleh masyarakat. Sejak dulu hingga sekarang, usaha kuliner seperti jajanan khas daerah terus berkembang tiada habisnya. Salah satu jajanan khas daerah yang berasal dari kota Sampit yaitu Telur Mata Gajah. Di kota Sampit sendiri salah satu usaha kuliner yang Sering di cari warga dan cukup dikenal yaitu Telor Mata Gajah Amrozy yang berlokasi di Jalan Yos Sudarso atau Kompleks Pujasera di Kota Sampit, persis bersebelahan dengan Taman Kota Sampit. Menjadi tempat jajanan yang dikenal dan ramai dikunjungi membuat pemilik usaha kesulitan dalam menentukan jumlah produksi yang mesti disiapkan dalam memenuhi jumlah permintaan dalam penjualan nya. Penelitian ini bertujuan untuk menyelesaikan permasalahan di atas dengan menggunakan sebuah metode. metode yang digunakan oleh penulis pada penelitian ini adalah metode fuzzy Tsukamoto. Dari hasil penelitian yang dilakukan oleh penulis diperoleh hasil yakni 2162 TMG yang harus diproduksi. Sehingga hasil penelitian ini bisa menjadi pertimbangan untuk menentukan jumlah rata rata dalam memproduksi TMGKata kunci: Produksi, Prediksi Produksi, Fuzzy Tuskamoto, Telur Mata GajahAbstract: The culinary business is one of the most popular companies and is in demand by the community. Since then until now, culinary companies such as local specialties have continued to grow endlessly. One of the typical regional snacks from the city of Sampit is Elephant Eye Eggs. In the town of Sampit itself, one of the culinary businesses that are often sought after by residents and are quite well known is Telor Mata Gajah Amrozy, which is located on Jalan Yos Sudarso or the Pujasera Complex in Sampit City, right next to Sampit City Park. Being a well-known and visited place for snacks makes it difficult for business owners to determine the production required to meet the demand for sales. This study aims to solve the above problems by using a method. The method used by the author in this study is the Tsukamoto fuzzy method. From the author's research results, it was found that 2162 TMG had to be produced. So that the results of this study can be a consideration to determine the average amount in creating TMGKeywords: Production, Production Prediction, Fuzzy Tsukamoto, Elephant Eye Egg
A Study of Factors Affecting the Performance of Micro, Small, Medium-sized Enterprises in Indonesia
No full textThis research aims to study the factors affecting MSMEs’ performance in the Malang region and investigate the 0.5% final tax regulation role on MSMEs business in 2019. This study is quantitative research. The author conducted a survey shared to four hundred ninety-six MSMEs in Malang city and region and collected 217 questionnaires. Moreover, the author also collected tax and government regulation, previous research, books, and the internet. This study used Structural Equation Model (SEM) using AMOS 26. The result reveals that entrepreneurial orientation, funding, government policy, and the social and economic aspect affect the MSMEs’ performance. The research shows that government policies are mediating funding in affecting the performance of MSMEs. It also explains explicitly that new tax regulation plays an essential role in enhancing the performance of MSMEs. However, marketing information and external institutions did not affect the performance of MSMEs in the Malang region
Inkubator Tempe Berbasis IOT
No full textTempeh is a food that have a lot of dietary fiber, calcium, vitamin B, and iron. Also tempeh is a food that can find in the market easily. However, tempeh was made full of patience and perseverant. Making tempeh will takes by four days until the tempeh has ready to go to market. From those four days, tempeh mushrooms growth (fermentation process) takes by two days. from the length of time for making tempeh, especially the fermentation process, the author has an idea to develop an IoT- based tempeh incubator tools to cut the tempeh production time. By using ESP8266 as the controller in the program, DHT 11 sensor to detect temperature and humidity, LDR (Light Depend Resistor) sensor to detect light, a fan to remove air from the incubator, a bulb as a heating component, and a smartphone to monitor the progress of the tempeh fermentation process with the help of blynk application. The implantation of this research is to make a tool that can cut the fermentation process as well as regulate and monitor the temperature online by using the blynk application via smartphone. Based on the testing of this tool, the result show that IoT-based tempeh incubator can accelerate the tempeh fermentation process for 24 hours with the optimal temperature being at 30oC until 40oC. Besides being able to speed up the fermentation process, this tool can also monitor the humidity dan temperature in the fermentation process
