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All Journal Jurnal Fakultas Ekonomi : OPTIMAL Jurnal Teknik Elektro Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA International Journal of Supply Chain Management Food Science and Technology Journal (Foodscitech) Pagaruyuang Law Journal Bisman (Bisnis dan Manajemen): The Journal of Business and Management Jurnal Pengabdian kepada Masyarakat Nusantara Devotion: Journal Corner of Community Service The International Journal of Education Management and Sociology Research Horizon Jurnal Ekonomi, Bisnis, dan Humaniora Jurnal Internasional
Azis, Nur
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Physics Social Sciences Transportation

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Rancang Bangun Alat Penyiram Sayuran Hidroponik Menggunakan Arduino Mega 2560 Kusumo, Bayu; Azis, Nur
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2584

Abstract

Activities suitable for planting with hydroponic systems in the midst of covid 19 pendemi are in great demand by utilizing limited land. One of the elements in suitable planting activities is water, because 70 percent of the molecules in plants are water. Water serves as the raw material of plants in the process of photosynthesis and can also keep plant moisture from withering. Currently the method of watering plants is still done manually by checking the condition of the soil, if the soil condition is dry then the new water pump is turned on for watering. But the method is considered less effective because it requires farmers to do regular checks and should not forget so that the soil does not dry so that the plants do not wither. To answer these problems in this study want to provide certainty how the plant gets enough water. One of the efforts that can be done is to make an automatic watering tool that without having to take time so as to give an efficient impact. The tool is made using Arduino Mega 2560 Components that serve as controllers in the watering system with the help of smartphones for remote control.
Implementasi Speech Recognition Pada Aplikasi E-Prescribing Menggunakan Algoritme Convolutional Neural Network Azis, Nur; Herwanto, Herwanto; Ramadhani, Fathurrahman
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2841

Abstract

The process of manually prescribing drugs by doctors can cause several problems, including doctors not knowing what drugs are available and it takes time to find out what drugs are available in the pharmacy. Speech recognition is now widely used in various ways, which can help facilitate work. The application of speech recognition can be done in the e-prescribing application with the neural network method using the Convolutional Neural Network (CNN) algorithm, which is the basic method of deep learning. This study aims to facilitate physicians in filling out drug data in e-prescribing applications using speech recognition. The data used in this study were obtained from the open source dataset provided by Google and collected independent datasets. From the results of experiments that have been carried out, the accuracy achieved with 40 epochs and 40 direct impressions with different words is 90%. Where words are successfully recognized 36 words out of 40 words
SOSIALISASI PEMBERDAYAAN SAMPAH RUMAH TANGGA MENJADI BERNILAI EKONOMIS PADA ANGGOTA PKK DESA GESIKHARJO KECAMATAN PALANG KABUPATEN TUBAN Sugiyanto, Sugiyanto; Susanto, Harry; Setiyanta, Nunuk Candra; Nugroho, Aguk; Azis, Nur; Marwan, Marwan; Ruminingsih, Ruminingsih
Devotion: Journal Corner of Community Service Vol. 1 No. 2 (2022): November
Publisher : CV. Tripe Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.815 KB) | DOI: 10.54012/devotion.v1i2.90

Abstract

Sampah merupakan material sisa yang dihasilkan dari proses kehidupan manusia ataupun dari proses alamiah. Keberadaan sampah bila tidak dikelola dengan baik akan menimbulkan dampak negatif tetapi bila dikelola dengan baik akan bernilai ekonomis. Pengabdiam kepada masyarakat ini diselenggarakan dengan tujuan mengadakan sosialisasi pemberdayaan sampah rumah tangga menjadi bernilai ekonomis pada anggota PKK Desa Gesikharjo Kecamatan Palang Kabupaten Tuban. Metode yang digunakan adalah dengan mengadakan ceramah tatap muka (luring) kepada peserta yang terdiri dari ibu-ibu PKK, perwakilan karang taruna dan perangkat desa. Hasil pelaksanaan pengabdian menunjukkan para peserta dapat mengikuti kegiatan sosialisasi pemberdayaan sampah rumah tangga menjadi bernilai ekonomis secara aktif hingga sampai tuntas. Berbagai pertanyaan muncul terkait materi sosialisasi yang telah disampaikan sehingga tercipta nuansa komunikasi dua arah. Kesimpulan dari kegiatan pengabdian kepada masyarakat ini tercipta kesepakatan diantara para peserta untuk pembentukan bank sampah yang akan dikelola oleh badan usaha milik desa.
Optimizing Investment: Combining Deep Learning for Price Prediction and Moving Average for Return-Risk Analysis Hastomo, Widi; Karno, Adhitio Satyo Bayangkari; Masriyanda, Masriyanda; Sestri, Ellya; Kardian, Aqwam Rosadi; Azis, Nur; Dewanto, Ignatius Joko; Rasyiddin, Ahmad; Sundoro, Aries; Kamilia, Nada
Jurnal Teknik Elektro Vol 14, No 2 (2022): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v14i2.45002

Abstract

The ability to analyze predictions marks something going up or down, as well as the level of possible risk taken into account by much-needed stock investors. In a study, this analysis of risk and correlation between shares was calculated using the method of moving averages (MA). Besides that, a dataset of 4 stocks (Apple, Google, Microsoft, and Amazon) also performed prediction mark stock in period time next (future) with the use of the neural network method (deep learning) Long Short-Term Memory (LSTM) model. The result of programming in the Python language is several visualizations for easy graph-reading information. This article presents new research that aims to fill the gap in understanding investment analysis for beginners by visualizing risk and return analysis on shares. The results reveal that changes in stock sales volume did not occur significantly, although the short and long-term MA charts for the four stocks tended to fluctuate, offering new insights into investment analysis and providing a basis for future development. The best accuracy results were on MSFT shares, with an achievement of 0.9532 and a loss value of 0.0014. Thus, MSFT shares can be used as a priority for investment. Therefore, this research adds a new dimension to the literature and paves the way for further investigations in risk and return analysis and stock prediction using deep learning.
Study Effectiveness Web Site E-Commerce and Marketplace in Increasing Consumer Trust in Indonesian Retail Food Industry Reza, Bobby; Sukartono, Sri; Azis, Nur; Irwansyah, Novi
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5526

Abstract

The presence of computers and the internet has now changed the face of human civilization, ranging from industry, education, to economics and commerce. One of the best-known things now is online transactions using the internet is an E-Commerce web site and marketplace. Retail companies are competing to market their products via the internet. It is quite interesting to analyze the issue of the extent to which the effectiveness of E-commerce Web sites and marketplaces in gaining consumer trust in the real food industry. More effective way to gain consumer trust. This study aims to determine the factors that influence consumer trust and buying interest in retail food products. The data in this study came from all consumers who had sold retail food products online throughout Indonesia. The results of the study indicate that the use of e-commerce and Marketplace web sites has its respective advantages and disadvantages to gain consumer trust in the retail food industry.
Analysis of Goods Stock Using the Apriori Algorithm to Aid Goods Purchase Decision Making Azis, Nur; Sucipto, Purwo Agus; Herwanto, Agus; Munthe, Era Sari; Irwanto, Dola
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13335

Abstract

After the covid-19 pandemic outbreak and the high uncertainty index during the covid-19 pandemic. The business world is experiencing a huge impact in addition to the sluggish interest of buyers is also limited in its movement. On this occasion, the researcher intends to provide an overview that can help business people, especially in purchasing goods that are useful for filling the stock of goods in the warehouse. To get maximum results and minimum error rate. Researchers use the Apriori Algorithm in analyzing stock items and use the Tanagra version 1.4 application. Research data used the sales history of the past 1 year here the data used is between May 2022 and April 2023. With a total itemset of 375. But after applying the Golden Rule (threshold), there are only 10 products with sales reaching 1623 items. This research produces a final ordered association based on the minimum support and minimum confidence that has been determined, namely 12 rules with a combination of 2 itemsets with a confidence value of 100%.
LEGALITAS SISTEM AUTO PILOT KENDARAAN RODA EMPAT DI INDONESIA BERDASARKAN UNDANG-UNDANG NOMOR 22 TAHUN 2009 TENTANG LALU LINTAS DAN ANGKUTAN JALAN Nugroho, Aguk; Azis, Nur; Ruminingsih, Ruminingsih; Marwan, Marwan
Pagaruyuang Law Journal Volume 7 Nomor 1, Juli 2023
Publisher : Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/plj.v7i1.4566

Abstract

Fenomena pertumbuhan jumlah kendaraan yang tidak seimbang dengan tingkat ketersediaan infrastruktur jalan telah mendorong adanya inovasi auto pilot system oleh pabrikan kendaraan. Penelitian ini bertujuan untuk mengkaji legalitas auto pilot kendaraan roda empat di Indonesia berdasarkan Undang-Undang Nomor 22 tahun 2009 tentang lalu lintas dan angkutan jalan. Metode yang digunakan dalam pengkajian terhadap permasalahan yang diteliti dengan menggunkan pendekatan hukum positif yang berlaku di Indonesia. Hasil penelitian mendapatkan legalisasi sistem auto pilot kendaraan roda empat di Indonesia berdasarkan Undang-undang Nomor 22 Tahun 2009 tentang lalu lintas dan angkutan jalan dapat dinyatakan memenuhi karena tidak ada klausal atau pasal yang dilanggar. Adapun upaya penegakan hukum bagi pengendara yang menggunakan kendaraan berteknologi auto pilot system dapat dilakukan dengan cara, yaitu upaya preventif dan upaya represif. Keselamatan, endaraan roda empat
Characteristics of Breadfruit-Wheat Composite Flour Cookies with Mung Bean Flour: A Study of Flour Proportions Azis, Nur; Puspitasari, Diana; Rejeki, Fungki Sri; Wedowati, Endang Retno
Food Science and Technology Journal (Foodscitech) Vol. 7 No. 1 (2024)
Publisher : Universitas Dr Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/fst.vi.8065

Abstract

This research aims to determine the effect of adding breadfruit flour and green bean flour to cookie products, as well as the characteristics of breadfruit-wheat composite flour cookies with the addition of green bean flour. Processing food products in the form of cookies by using breadfruit flour as a local raw material is expected to reduce dependence on imported wheat. as raw material for wheat flour. So far, the main raw material for making cookies is wheat flour, and there has been an increase in consumption of wheat flour along with the increase in consumption of processed products. In order to increase the quality of the cookie products produced, research was carried out by adding green bean flour to increase the protein content of the cookies. Research conducted using a Randomized Block Design with 4 (four) treatment levels, showed significantly different results for all parameters. In this research, the parameters used are taste, color, aroma, texture, water content, ash content, fat content, protein content, carbohydrate content and yield expressed in percent. The results of the decision analysis show that treatment P4 has the highest expected value with a score of 6.37, while the lowest expected value is in treatment P2 with a score of 3.77.
Pengaruh Manajemen Inovasi dan Kinerja Rantai Pasok terhadap Pengembangan UMKM Tekstil Nurhidayah, Rika; Muliansyah, Dadah; Azis, Nur; Adham, Ibnu; Wibowo, Bimo Teguh; Alvianita, Syavilla; Reskiyah, Efri; Nabila, Tiara; Salsabila, Tiara
JURNAL EKONOMI, BISNIS DAN HUMANIORA Vol 4 No 1 (2024)
Publisher : Universitas Tangerang Raya

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

Abstract

This study analyzes the impact of innovation management and supply chain performance on the development of textile MSMEs in Banten Province. The increasingly intense competition following the COVID-19 pandemic demands MSME actors to innovate and manage their supply chains efficiently to enhance competitiveness and business sustainability. The study also explores the synergy between these two variables. Adopting a quantitative approach with a survey method, data were collected from 180 respondents, consisting of textile MSME owners or managers. The research instrument, a structured questionnaire, was analyzed using multiple regression to examine the effects of the variables. The findings reveal that innovation management has a significant positive effect on MSME development (β=0.45; p=0.000). Factors such as product innovation frequency, technology adoption, and employee training significantly contribute to business growth. Supply chain performance also demonstrates a significant impact (β=0.38; p=0.002), with raw material procurement efficiency, distribution speed, and supplier relationships identified as key factors. Notably, the interaction between innovation management and supply chain performance exerts an even greater influence (β=0.60; p=0.000), underscoring the critical importance of synergy between these aspects. These findings align with Schumpeter's (1934) innovation theory and Christopher's (2016) supply chain theory, while also corroborating prior studies, such as Tidd and Bessant (2020), which emphasize the role of innovation in enhancing MSME competitiveness. This research provides a novel contribution by highlighting the importance of integrating innovation and supply chain efficiency in the context of Indonesian textile MSMEs. Future studies are recommended to expand geographic scope, explore other sectors, and adopt mixed-method approaches to deepen the understanding of these dynamics.
Intervensi Reputasi Perusahaan Pada Keputusan Pembelian: Konsekwensi Dari Influencer Instagram Dan Islamic Branding Sulaeman, Maman; Nurhidayah, Rika; Azis, Nur; Ratnasari, Desi; Ulum, Miftahul; Wahdah, Ulya
Bisman (Bisnis dan Manajemen): The Journal of Business and Management Vol. 7 No. 3 (2024): November 2024
Publisher : Program Studi Manajemen, Fakultas Ekonomi, Universitas Islam Majapahit, Jawa Timur, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/bisman.v7i3.3742

Abstract

This study aims to analyze the influence of Instagram influencers and Islamic branding on company reputation and consumer purchase decisions. In the digital age, companies increasingly rely on influencers to build reputation and influence consumer purchase decisions, while value-based branding, especially rooted in religious principles, is becoming more popular, particularly among Muslim consumers. This research uses a survey method with a quantitative approach, where data is collected through a questionnaire distributed to 92 Rabbani product consumers. Data analysis is performed using Structural Equation Modeling (SEM) to examine the relationships between variables. The results show that Instagram influencers have a significant impact on company reputation, which in turn affects consumer purchase decisions. Islamic branding also proves to enhance company reputation, especially among Muslim consumers, which ultimately drives purchase decisions. Additionally, company reputation acts as a mediator in the relationship between Instagram influencers and purchase decisions, as well as between Islamic branding and purchase decisions. These findings indicate that companies can leverage influencers and Islamic branding to build a strong reputation and increase sales. The implications of this research highlight the importance of companies selecting the right influencers and incorporating religious values into their branding to attract consumers.
Co-Authors Adham, Ibnu Adiyan, Fidiatul Aguk Nugroho Alvianita, Syavilla Amyar, Firdaus Bobby Reza Desi Ratnasari Diana Puspitasari Endang Retno Wedowati Era Sari Munthe Fungki Sri Rejeki Hastomo, Widi Herwanto Herwanto Herwanto, Agus Hidantikarnilla, Vicky Ignatius Joko Dewanto, Ignatius Joko Irwansyah, Novi Irwanto, Dola Joko Dewanto Kade Birawan, I Gusti Kamilia, Nada Kardian, Aqwam Rosadi Karno, Adhitio Satyo Bayangkari Kusumo, Bayu Marwan Marwan Marwan Marwan Masriyanda, Masriyanda Metris, Diksi Miftahul Ulum Muliansyah, Dadah Nabila, Tiara Nurhidayah, Rika Purnawan, Lesna Rahma, Almira Rahmat Hidayat Ramadhani, Fathurrahman Rasyiddin, Ahmad Reskiyah, Efri Rika Nurhidayah Rismanto, Caesar Ruminingsih Ruminingsih Salsabila, Tiara Semuel, Semuel Sestri, Ellya Setiyanta, Nunuk Candra Sucipto, Purwo Agus Sugiyanto - Suhartono Sukartono, Sri Sulaeman, Maman Sundoro, Aries Susanto, Harry Sutomo Sutomo Suwarno Suwarno Wahdah, Ulya Wibowo, Bimo Teguh