Articles
<![CDATA[Tinjauan Pustaka Sistematis: Perkembangan Metode Peramalan Harga Emas ]]>
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol 4 No 1 (2022) ]]>
Publisher : <![CDATA[PPM Institut Teknologi Telkom Telkom Jakarta ]]>
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DOI: 10.52661/j_ict.v4i1.106
<![CDATA[Prediksi harga emas merupakan hal yang menantang untuk diteliti karena harga emas bersifat fluktuatif. Selain itu, emas juga menjadi alat investasi utama urutan ketiga berdasarkan laporan survei pasar ritel emas tahun 2019. Oleh karena itu kebutuhan emas selalu meningkat 15% setiap tahunnya. Hal ini menjadi pemicu bagi berkembangnya berbagai metode peramalan emas. Pada penelitian ini akan dilakukan tinjauan pustaka sistematis untuk mengidentifikasi perkembangan metode peramalan harga emas. Metode yang digunakan adalah Systematic Literature Review dan dihasilkan sebanyak 28 artikel ilmiah untuk direview. Berdasarkan analisis diketahui bahwa sebagian besar metode yang digunakan adalah berbasis deep learning. Metrik performa metode yang digunakan pada mayoritas literatur adalah RMSE dan MAE. Sedangkan data set yang digunakan adalah data keuangan seperti harga emas, nilai tukar mata uang, indeks saham, harga minyak dan nilai inflasi.]]>
<![CDATA[WORKSHOP IMPLEMENTASI SISTEM MONITORING DAN KENDALI KUALITAS AIR PADA MEDIA TANAM AQUAPONIK MENGGUNAKAN GAWAI ]]>
<![CDATA[Indrarini Dyah Irawati]]>;
<![CDATA[Dadan Nur Ramadan]]>;
<![CDATA[Sugondo Hadiyoso]]>;
<![CDATA[Rita Purnamasari]]>;
<![CDATA[Gelar Budiman]]>;
<![CDATA[Nurwan Reza Fachrurrozi]]>;
<![CDATA[Yudiansyah Yudiansyah]]>;
<![CDATA[Syifa Nurgaida Yutia]]>;
<![CDATA[Sasmi Hidayatullah Yulianing Tyas]]>;
<![CDATA[Siti Zahrotul Fajriyah]]>
<![CDATA[ Jurnal Abdi Insani Vol 10 No 1 (2023): Jurnal Abdi Insani ]]>
Publisher : <![CDATA[Universitas Mataram ]]>
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DOI: 10.29303/abdiinsani.v10i1.805
<![CDATA[The industrial revolution 4.0 greatly impacts the learning curriculum, especially at the vocational and higher education levels. They are required to play an active role in the success and acceleration of the implementation of industry 4.0. Higher Education becomes a kind of place for preparation or training for human resources (HR) to provide skills that are directly related to the application and development of applications that support industry 4.0. In order to support the government's efforts, the community service team at Telkom University and the Telkom Jakarta Institute of Technology actively participated in collaborating with SMK Nagrak Purwakarta. This community service focuses on bridging productivity between departments in Nagrak Vocational School such as the Food Crops and Horticulture Agribusiness (ATPH) department and the network computer engineering department (TKJ) so as to produce the right cultivation, namely Internet of Things (IoT) based aquaponics. This activity consists of making modules and video tutorials for students and teachers, designing sensors and devices, and making monitoring applications on smartphones to monitor aquaponic plants. The sensor designed consists of a PH detection sensor in the air and an oxygen sensor installed in the school's aquaponics garden. The students and teachers were enthusiastic in participating in workshops regarding IoT materials. Not only getting material, students and teachers then do direct practice to make aquaponics and monitor temperature. Based on a survey of the results of this community service implementation, teachers and students are very satisfied and enthusiastic about and hope that community service activities can be carried out on an ongoing basis.]]>
<![CDATA[Why do Consumers Adopt E-Grocery? A Systematic Literature Review ]]>
<![CDATA[Dea Wemona Rahma]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Qilbaaini Effendi Muftikhali]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol 4 No 2 (2022) ]]>
Publisher : <![CDATA[PPM Telkom University ]]>
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DOI: 10.52661/j_ict.v4i2.133
<![CDATA[Electronic grocery (e-grocery) is currently the most emerging subset of online shopping. Every week, 28.3% of people buy grocery products online. The value of e-grocery sales in Indonesia is predicted to continue to rise and will reach around US $5.6 trillion by 2026. This indicates that e-grocery is an important potential market for quick-commerce online shopping services in the future. A Systematic Literature Review research in the field of e-grocery has existed before. A Systematic Literature Review research in the field of e-grocery has existed before. However, to date, the authors have not found SLR research that focuses on exploring the driving factors of e-grocery adoption. To bridge the gap, the purpose of this study is to provide a comprehensive overview of the factors that influence consumers to adopt e-grocery or online grocery shopping. The method used was Systematic Literature Review. The process of searching and selecting scientific articles through Scopus with various criteria resulted in 25 primary studies. The results showed that the most common driving factors found among the 25 studies were Perceived Ease of Use and Perceived Usefulness adapted from TAM theory, delivery time factor, and demographic factors such as age, gender, income, and education level. Despite the numerous factors mentioned in the primary studies, no factor has been able to represent the phenomenon of deals and promotions that are often found in various e-commerce applications, including e-grocery service providers.]]>
<![CDATA[Identifikasi Citra Kualitas Minyak Kelapa Sawit Berbasis Android Menggunakan Algoritma Convolutional Neural Network ]]>
<![CDATA[Deny Haryadi]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Adi Kuncoro]]>;
<![CDATA[Fiqry Firdhan Pratama Putra]]>;
<![CDATA[Andri Ariyanto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i4.28617
<![CDATA[The Central Statistics Agency reports that the average development of palm cooking oil consumption at the household level in Indonesia during the 2015-2020 period has increased by 2.32% per year. The use of cooking oil repeatedly is commonplace among the people of Indonesia and quite a lot. Even though the use of cooking oil can endanger health because the frying process at high temperatures can damage the chemical structure of the oil. Therefore, in this study, image processing was carried out to identify the quality of palm oil using the Convolutional Neural Network (CNN) algorithm. This research was conducted through several stages, namely dataset collection, dataset preprocessing, CNN algorithm implementation, testing, and development of information systems. The dataset consists of image data of palm cooking oil that has not been used, palm cooking oil used for frying twice, and palm cooking oil used for frying more than twice. The total amount of data is 3000 image data. Distribution of training data and test data using the Pareto division of 80:20. Based on the test, the best accuracy is 97.08%. This research produces an android-based information system that can identify the quality of cooking oil based on the classification.]]>
<![CDATA[Pemodelan Proses Bisnis Second Level Maintenance (SLM) Mesin ATM pada PT XYZ ]]>
<![CDATA[Syifa Nurgaida Yutia]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Dea Wemona Rahma]]>;
<![CDATA[Adi Kuncoro]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol 5 No 1 ]]>
Publisher : <![CDATA[PPM Telkom University ]]>
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DOI: 10.52661/j_ict.v5i1.189
<![CDATA[Dalam proses bisnis second level maintenance memiliki tujuan untuk memberikan jasa perbaikan mesin ATM yang digunakan oleh pihak customer atau bank. Tentunya dalam, menjalankan bisnis dalam bidang ini mempunyai standar untuk memenuhi persyaratan, yang saling disepakati oleh kedua belah pihak. Pada proses bisnis yang sedang berjalan saat ini memiliki masalah pada proses manage schedule yang tidak mencapai SLA. Proses manage schedule yang tidak tepat menyebabkan overload pada ticket problem dan penjadwalan yang tidak efektif sering menyebabkan ketidaktersediaan teknisi. Penelitian ini berfokus untuk mengatasi perbaikan kinerja pada proses bisnis Manage Schedule. Proses bisnis eksisting akan dianalisis dan dibuat usulan rancangan proses bisnis TO-BE sebagai bentuk perbaikan dari proses bisnis saat ini. Usulan proses bisnis diharapkan dapat meningkatkan kinerja proses bisnis eksisting untuk memenuhi batas SLA yang telah ditetapkan sebelumnya. Metode penelitian ini menggunakan pendekatan kuantitatif dan kualitatif. Pemodelan proses bisnis menggunakan BPMN (Business Process Model Notation). BPMN yang merupakan metode pemodelan bisnis, dan juga sebagai alat desain pada sistem yang berbasis pesan digunakan dalam penelitian ini. Hasil penelitian menunjukan rancangan proses TO-BE meningkatkan dari sisi efisiensi cycle time menjadi 52,84%.]]>
<![CDATA[Identifikasi Citra Kualitas Minyak Kelapa Sawit Berbasis Android Menggunakan Algoritma Convolutional Neural Network ]]>
<![CDATA[Deny Haryadi]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Adi Kuncoro]]>;
<![CDATA[Fiqry Firdhan Pratama Putra]]>;
<![CDATA[Andri Ariyanto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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Original Source
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Check in Google Scholar
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DOI: 10.17529/jre.v18i4.28617
<![CDATA[The Central Statistics Agency reports that the average development of palm cooking oil consumption at the household level in Indonesia during the 2015-2020 period has increased by 2.32% per year. The use of cooking oil repeatedly is commonplace among the people of Indonesia and quite a lot. Even though the use of cooking oil can endanger health because the frying process at high temperatures can damage the chemical structure of the oil. Therefore, in this study, image processing was carried out to identify the quality of palm oil using the Convolutional Neural Network (CNN) algorithm. This research was conducted through several stages, namely dataset collection, dataset preprocessing, CNN algorithm implementation, testing, and development of information systems. The dataset consists of image data of palm cooking oil that has not been used, palm cooking oil used for frying twice, and palm cooking oil used for frying more than twice. The total amount of data is 3000 image data. Distribution of training data and test data using the Pareto division of 80:20. Based on the test, the best accuracy is 97.08%. This research produces an android-based information system that can identify the quality of cooking oil based on the classification.]]>
<![CDATA[Tinjauan Pustaka Sistematis: Perkembangan Metode Peramalan Harga Emas ]]>
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol. 4 No. 1 (2022) ]]>
Publisher : <![CDATA[PPM Telkom University ]]>
Show Abstract
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Download Original
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Original Source
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DOI: 10.52661/j_ict.v4i1.106
<![CDATA[Prediksi harga emas merupakan hal yang menantang untuk diteliti karena harga emas bersifat fluktuatif. Selain itu, emas juga menjadi alat investasi utama urutan ketiga berdasarkan laporan survei pasar ritel emas tahun 2019. Oleh karena itu kebutuhan emas selalu meningkat 15% setiap tahunnya. Hal ini menjadi pemicu bagi berkembangnya berbagai metode peramalan emas. Pada penelitian ini akan dilakukan tinjauan pustaka sistematis untuk mengidentifikasi perkembangan metode peramalan harga emas. Metode yang digunakan adalah Systematic Literature Review dan dihasilkan sebanyak 28 artikel ilmiah untuk direview. Berdasarkan analisis diketahui bahwa sebagian besar metode yang digunakan adalah berbasis deep learning. Metrik performa metode yang digunakan pada mayoritas literatur adalah RMSE dan MAE. Sedangkan data set yang digunakan adalah data keuangan seperti harga emas, nilai tukar mata uang, indeks saham, harga minyak dan nilai inflasi.]]>
<![CDATA[Why do Consumers Adopt E-Grocery? A Systematic Literature Review ]]>
<![CDATA[Dea Wemona Rahma]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Qilbaaini Effendi Muftikhali]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol. 4 No. 2 (2022) ]]>
Publisher : <![CDATA[PPM Telkom University ]]>
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DOI: 10.52661/j_ict.v4i2.133
<![CDATA[Electronic grocery (e-grocery) is currently the most emerging subset of online shopping. Every week, 28.3% of people buy grocery products online. The value of e-grocery sales in Indonesia is predicted to continue to rise and will reach around US $5.6 trillion by 2026. This indicates that e-grocery is an important potential market for quick-commerce online shopping services in the future. A Systematic Literature Review research in the field of e-grocery has existed before. A Systematic Literature Review research in the field of e-grocery has existed before. However, to date, the authors have not found SLR research that focuses on exploring the driving factors of e-grocery adoption. To bridge the gap, the purpose of this study is to provide a comprehensive overview of the factors that influence consumers to adopt e-grocery or online grocery shopping. The method used was Systematic Literature Review. The process of searching and selecting scientific articles through Scopus with various criteria resulted in 25 primary studies. The results showed that the most common driving factors found among the 25 studies were Perceived Ease of Use and Perceived Usefulness adapted from TAM theory, delivery time factor, and demographic factors such as age, gender, income, and education level. Despite the numerous factors mentioned in the primary studies, no factor has been able to represent the phenomenon of deals and promotions that are often found in various e-commerce applications, including e-grocery service providers.]]>
<![CDATA[Pemodelan Proses Bisnis Second Level Maintenance (SLM) Mesin ATM pada PT XYZ ]]>
<![CDATA[Syifa Nurgaida Yutia]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Dea Wemona Rahma]]>;
<![CDATA[Adi Kuncoro]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol. 5 No. 1 ]]>
Publisher : <![CDATA[PPM Telkom University ]]>
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DOI: 10.52661/j_ict.v5i1.189
<![CDATA[Dalam proses bisnis second level maintenance memiliki tujuan untuk memberikan jasa perbaikan mesin ATM yang digunakan oleh pihak customer atau bank. Tentunya dalam, menjalankan bisnis dalam bidang ini mempunyai standar untuk memenuhi persyaratan, yang saling disepakati oleh kedua belah pihak. Pada proses bisnis yang sedang berjalan saat ini memiliki masalah pada proses manage schedule yang tidak mencapai SLA. Proses manage schedule yang tidak tepat menyebabkan overload pada ticket problem dan penjadwalan yang tidak efektif sering menyebabkan ketidaktersediaan teknisi. Penelitian ini berfokus untuk mengatasi perbaikan kinerja pada proses bisnis Manage Schedule. Proses bisnis eksisting akan dianalisis dan dibuat usulan rancangan proses bisnis TO-BE sebagai bentuk perbaikan dari proses bisnis saat ini. Usulan proses bisnis diharapkan dapat meningkatkan kinerja proses bisnis eksisting untuk memenuhi batas SLA yang telah ditetapkan sebelumnya. Metode penelitian ini menggunakan pendekatan kuantitatif dan kualitatif. Pemodelan proses bisnis menggunakan BPMN (Business Process Model Notation). BPMN yang merupakan metode pemodelan bisnis, dan juga sebagai alat desain pada sistem yang berbasis pesan digunakan dalam penelitian ini. Hasil penelitian menunjukan rancangan proses TO-BE meningkatkan dari sisi efisiensi cycle time menjadi 52,84%.]]>
<![CDATA[Pemodelan Proses Bisnis Second Level Maintenance (SLM) Mesin ATM pada PT XYZ ]]>
<![CDATA[Yutia, Syifa Nurgaida]]>;
<![CDATA[Tyas, Sasmi Hidayatul Yulianing]]>;
<![CDATA[Rahma, Dea Wemona]]>;
<![CDATA[Kuncoro, Adi]]>
<![CDATA[ Journal of Informatics and Communication Technology (JICT) Vol. 5 No. 1 ]]>
Publisher : <![CDATA[PPM Telkom University ]]>
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DOI: 10.52661/j_ict.v5i1.189
<![CDATA[Dalam proses bisnis second level maintenance memiliki tujuan untuk memberikan jasa perbaikan mesin ATM yang digunakan oleh pihak customer atau bank. Tentunya dalam, menjalankan bisnis dalam bidang ini mempunyai standar untuk memenuhi persyaratan, yang saling disepakati oleh kedua belah pihak. Pada proses bisnis yang sedang berjalan saat ini memiliki masalah pada proses manage schedule yang tidak mencapai SLA. Proses manage schedule yang tidak tepat menyebabkan overload pada ticket problem dan penjadwalan yang tidak efektif sering menyebabkan ketidaktersediaan teknisi. Penelitian ini berfokus untuk mengatasi perbaikan kinerja pada proses bisnis Manage Schedule. Proses bisnis eksisting akan dianalisis dan dibuat usulan rancangan proses bisnis TO-BE sebagai bentuk perbaikan dari proses bisnis saat ini. Usulan proses bisnis diharapkan dapat meningkatkan kinerja proses bisnis eksisting untuk memenuhi batas SLA yang telah ditetapkan sebelumnya. Metode penelitian ini menggunakan pendekatan kuantitatif dan kualitatif. Pemodelan proses bisnis menggunakan BPMN (Business Process Model Notation). BPMN yang merupakan metode pemodelan bisnis, dan juga sebagai alat desain pada sistem yang berbasis pesan digunakan dalam penelitian ini. Hasil penelitian menunjukan rancangan proses TO-BE meningkatkan dari sisi efisiensi cycle time menjadi 52,84%.]]>
