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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Informatika dan Teknik Elektro Terapan E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Computatio : Journal of Computer Science and Information Systems Jurnal CoreIT Jurnal Eksplora Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Sebatik KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Simtek : Jurnal Sistem Informasi dan Teknik Komputer Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat ComTech: Computer, Mathematics and Engineering Applications Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan JISKa (Jurnal Informatika Sunan Kalijaga) INTI Nusa Mandiri Jurnal Mnemonic Jurnal Bakti Masyarakat Indonesia Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Jurnal Informatika Progres Internet of Things and Artificial Intelligence Journal Jurnal Pengabdian Pada Masyarakat KOMPUTASI Jurnal Serina Abdimas
Teny Handhayani
Universitas Tarumanagara
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Prediksi Harga Emas di Indonesia Menggunakan Gated Recurrent Unit Handhayani, Teny; Tanudy, Clara; Hendryli, Janson
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6185

Abstract

Prediction system for the price of gold in Indonesia using a machine learning algorithm, namely the Gated Recurrent Unit (GRU), with influencing variables being the closing price of PT. Aneka Tambang's stock and the closing price of the US dollar exchange rate. The main objective of developing this system is to provide accurate and reliable information about the gold price trends for the next 7 days to the general public, investors, and other relevant parties. The dataset used consists of historical data for the closing prices of gold, the closing prices of PT. Aneka Tambang's stock, and the closing prices of the US dollar exchange rate, obtained from Yahoo Finance's website from January 2018 to October 2023. The dataset was pre-processed by extracting the dates from the three data sources used. In the results of training the GRU model for prediction, the best results were achieved with hyperparameters of 70% training data, 30% testing data, a timestep of 20, 50 epochs, and a batch size of 16, with an R-Squared value of 0.97, an MAE of 300.17, and an RMSE of 17.33. With the development of this system, it is expected to provide guidance for the general public, investors, and related parties in making timely decisions regarding gold purchases and to enhance their understanding of gold price movements in Indonesia.
PENGENALAN KUE TRADISIONAL INDONESIA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK Lubis, M.Kom., Chairisni; Sumarlie , Devid; Handhayani, Teny
Computatio : Journal of Computer Science and Information Systems Vol. 6 No. 2 (2022): Computatio: Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v6i2.21098

Abstract

In Indonesia, a lot of cakes are included in the category of traditional snacks. Traditional snacks are a unique culture of the archipelago that must be preserved by Indonesians. Traditional cakes are snacks that people like because they are dense and filling. Traditional cakes have a variety of textures, shapes and colors are very diverse and some are similar to each other, so it is rather difficult to identify the cake. The problem faced by buyers is that they often do not know the name of a cake because of the many types of cakes sold in the market. Technological advances have also caused many local people to use social media to take photos of food, but to recognize these cakes, there are still many people who do not really understand traditional cakes compared to modern cakes. The above problem can be solved if a system is made to recognize the image/photo of the cake and the computer can be programmed and to classify the cake into a certain category of cake by utilizing the image of the cake using the Convolutional Neural Network (CNN) algorithm. The best test results are tests that include data augmentation during training, where VGG-16 has a higher accuracy than DenseNet121 which is 80% and DenseNet121 testing which uses k-fold cross validation with an accuracy of fold 1 which is 77% and a drastic increase up to fold 5. If without using data augmentation, the best result obtained is an accuracy of 83% achieved by DenseNet121 without transfer learning, learning rate 1e-5 and batch size 16.
Pembuatan website autospares untuk penjualan online suku cadang kendaraan pada PT SPM di Jakarta Putra, Tommy Wijaya; Handhayani, Teny; Wasino, Wasino; Pragantha, Jeanny
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 3 (2024): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i3.25275

Abstract

Abstrak Ecommerce didefinisikan sebagai kegiatan penjualan dan pembelian barang dan jasa secara elektronik melalui internet. Pandemi Covid-19 menjadi salah saatu faktor perkembangan ecommerce. Keterbatasan modal dan sumber daya menjadi kendala pelaku bisnis untuk beralih dari pasar konvensional ke ecommerce. Kegiatan Pengabdiaan Kepada Masyarakat (PKM) menjembatani akademisi untuk berberan membantu menyelesaikan permasalahan di masyarakat. Kegiatan PKM ini bekerja sama dengan mitra PT SPM pada bulan Agustus 2023 sampai Juni 2024. Mitra merupakan badan usaha pemasaran suku cadang kendaraan. Kegiatan PKM dilakukan dengan metode wawancara dan diskusi. Permasalahan utama mitra adalah belum memiliki website untuk transaksi penjualan secara online. Kegiatan utama PKM  ini yaitu pembuatan website ecommerce untuk mitra. Website AutoSpares dikembangkan dengan teknologi Progressive Web App. Website AutoSpares dikembangkan untuk tiga jenis pengguna yaitu pengunjung, pelanggan dan admin. Fitur utama pada halaman pelanggan dilengkapi dengan fasilitas belanja online dan sistem pembayaran. Halaman Admin memiliki fitur pengaturan data dan pembuatan laporan secara otomatis.  Berdasarkan hasil evaluasi menggunakan kuesioner, website AutoSpares sudah memenuhi kebutuhan pengguna. Kata kunci: diskusi; ecommerce; progressive web app; wawancara; website. Abstract Ecommerce is defined as an activity of selling and purchasing goods and services electronically via the internet. The Covid-19 pandemic is one of the factors in the development of ecommerce. Limited funding and resources are obstacles for business to change from conventional markets to e-commerce. Community Service Activities acts as a way for academics to participate of problem solving in the society. This community services activity collaborates with PT SPM as a partner. The project has been done from August 2023 to June 2024. The partner sells vehicles spare parts. This community services activity uses interview and discussion methods. The main problem for partners is that they don't have a website for online sales. The main activity is developing e-commerce websites for partners. The AutoSpares website was developed with Progressive Web App technology. The AutoSpares website was developed for three types of users, namely visitors, customers and admins. The main features on the customer page are equipped with online shopping facilities and payment systems. The Admin page has features for managing data and creating reports automatically. Based on the evaluation results using questionnaires, the AutoSpares website has met user requirements. Keywords: discussion; ecommerce; interview; progressive web app; website.
Perbandingan Algoritma K-Means dan Fuzzy C-Means untuk Klasterisasi Produktivitas Kedelai di Pulau Jawa Jaya, Jefri; Handhayani, Teny
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 9 No 1 (2025)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v9i1.949

Abstract

Kedelai merupakan tanaman pangan yang memiliki nilai ekonomi yang tinggi dan merupakan salah satu bahan pangan yang sering di konsumsi oleh masyarakat Indonesia. Meskipun memiliki potensi besar dalam mendukung ketahanan pangan nasional, Indonesia masih menghadapi tantangan dalam memenuhi kebutuhan kedelai secara mandiri. Hal ini disebabkan oleh keterbatasan produksi lokal yang belum mampu mengimbangi tingginya permintaan masyarakat. Akibatnya, Indonesia masih bergantung pada impor kedelai dari luar negeri untuk memenuhi kebutuhan domestik. Penelitian ini bertujuan menghasilkan informasi berupa pengelompokkan wilayah, menganalisis pola tren pertumbuhan, dan menentukan model klasterisasi yang paling optimal dari K-Means dan Fuzzy C-Means dengan menggunakan data tanaman pangan Kedelai di Pulau Jawa. Data yang digunakan berupa time series tahunan dari tahun 2010 hingga 2022, yang diperoleh dari situs Basis Data Statistik Pertanian. Hasil evaluasi silhouette dari metode K-Means dan Fuzzy C-Means memiliki hasil yang serupa dalam menentukan klasterisasi data berdasarkan nilai k yang paling optimal berada di 0.4659 dengan jumlah klaster k = 2. Tiap klaster terbagi menjadi 2 klaster, klaster 0 memiliki 66 wilayah dengan hasil produktivitas rendah, klaster 1 memiliki 16 wilayah dengan hasil produktivitas tinggi.
Implementasi Algoritma LSTM untuk Memprediksi Temperatur di Wilayah Ternate, Maluku Utara Andre, Andre; Handhayani, Teny
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 8 No 1 (2024)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v8i1.836

Abstract

Temperatur merupakan faktor penting yang dapat mempengaruhi aktivitas masyarakat, berbagai hal dipengaruhi oleh temperature salah satunya adalah cuaca. Keperluan informasi tentang temperature dapat terpenuhi dengan melakukan prediksi memanfaatkan algoritma Long Short-Term Memory (LSTM). Penelitian ini bertujuan untuk mengetahui tren dari temperature di daerah Ternate, Maluku Utara serta prediksi dari data temperatur. Hasil analisis data tahun 2010 – 2023, menunjukkan tren temperatur minimum di Ternate mengalami kenaikan secara konsisten. Prediksi temperatur minimum, temperatur maksimum, dan temperatur rata-rata menghasilkan nilai MAPE masing – masing sebesar 2.12, 2.51, dan 1.93.
PENINGKATAN AKTIVITAS PEMASARAN UMKM PEMPEK DAVIN MELALUI PENGEMBANGAN WEBSITE Lewenusa, Irvan; Teny Handhayani; Cecillia Chung
Jurnal Serina Abdimas Vol 3 No 2 (2025): Jurnal Serina Abdimas
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jsa.v3i2.34794

Abstract

Indonesian SMEs contribute 15.8% to the global production supply chain at the ASEAN level. Operating in the culinary sector of Palembang specialties, UMKM Pempek Davin has the potential to expand further. If relying on conventional marketing, the marketing reach is limited. This MSME is trying to pioneer the development of its marketing potential through digital media to face the increasingly tight business competition in the digital era (start-up). Therefore, this Community Service (PKM) aims to enhance marketing efforts through website creation. The website development method includes business needs analysis, system design, website development, as well as training and mentoring in website management and digital marketing strategies. This activity is carried out in several stages, starting from data collection on the current marketing conditions, website design and implementation, and concluding with an assessment of how effectively the website improves visibility and product sales. The result of this activity is the creation of a marketing website that allows UMKM Pempek Davin to promote and sell its products online. Additionally, the UMKM owners were trained to manage the content on the website and understand effective digital marketing strategies, enabling them to expand their marketing reach through search engines and enhance the credibility of UMKM Pempek Davin by having an official digital media presence. Next, the website maintenance process will be carried out in the form of knowledge transfer from the PKM implementation team to the partner team, including the handover of the website's source code, website administrator accounts, and website usage instructions to the staff designated by the partner team. ABSTRAK UMKM Indonesia memiliki kontribusi sebesar 15.8% terhadap rantai pasok produksi global di tingkat ASEAN. Bergerak di sektor kuliner khas Palembang, UMKM Pempek Davin memiliki potensi untuk berkembang lebih luas. Jika mengandalkan pemasaran konvensional maka jangkauan pemasaran terbatas. UMKM ini mencoba untuk merintis mengembangkan potensi pemasarannya melalui media digital untuk menghadapi persaingan bisnis yang semakin ketat di era digital (start-up). Oleh karena itu, Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan upaya pemasaran melalui pembuatan website. Metode pengembangan website mencangkup analisis kebutuhan bisnis, perancangan sistem, pengembangan website, serta pelatihan dan pendampingan dalam pengelolaan website dan strategi pemasaran digital. Kegiatan ini dilakukan dalam beberapa tahap, dimulai dari pengumpulan data tentang kondisi pemasaran saat ini, perancangan dan implementasi website, dan selesai dengan menilai seberapa efektif website meningkatkan visibilitas dan penjualan produk. Hasil dari kegiatan ini adalah pembuatan website pemasaran yang memungkinkan UMKM Pempek Davin untuk mempromosikan dan menjual produknya secara online. Selain itu, pemilik UMKM dilatih untuk mengelola konten di website tersebut dan memahami strategi pemasaran digital yang efektif sehingga dapat memperluas jangkauan pemasaran melalui mesin pencari dan meningkatkan kredibilitas UMKM Pempek Davin dengan memiliki media digital resmi. Selanjutnya, untuk proses pemeliharaan website akan dilakukan dalam bentuk knowledge transfer dari tim pelaksana PKM ke tim mitra meliputi penyerahan source code website, akun administrator website, serta petunjuk penggunaan website kepada staf yang ditunjuk oleh tim mitra.
PEMBUATAN APLIKASI BERBASIS WEBSITE UNTUK RESTORAN RR DI JAKARTA Handhayani, Teny; Daffa Hilmi Aji; Novario Jaya Perdana; Wasino; Jeanny Pragantha; Jason; Kelvin Wijaya
Jurnal Serina Abdimas Vol 3 No 2 (2025): Jurnal Serina Abdimas
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jsa.v3i2.34799

Abstract

A web-based application can be utilized to support small and medium-sized enterprises. A web framework or web application framework is software designed to support the development of web applications including web services, web resources, and web APIs. Community Service Activities are a forum for academics to implement research results to solve problems in society. This activity collaborates with the RR restaurant located in Jakarta. RR provides dine-in services by offering various types of food and beverage menus. This project was done from August 2024 to February 2025. It implements various methods, i.e., interviews, discussions, and mini workshops. The main problem is that restaurant management and services are still carried out manually and have not been implemented in information technology. Some of the problems are that the service process becomes more complicated when the restaurant is busy, and customer satisfaction decreases due to suboptimal service, for example, errors in delivering customer orders. Manual transaction recording becomes another problem in creating reports. The community service offers a solution to create website-based applications for the RR restaurant. The website created provides the main facilities, namely booking services, transaction recording, and data management. The web-based application created by the community service team is used to automate transaction, data recording and booking services. ABSTRAK Aplikasi berbasis website banyak dimanfaatkan untuk mendukung kegiatan bisnis Usaha Mikro Kecil dan Menengah (UMKM). Sebuah web framework atau web application framework merupakan perangkat lunak yang dirancang untuk mendukung pengembangan aplikasi web termasuk layanan web, sumber daya web, dan API web. Kegiatan Pengabdian Kepada Masyarakat (PKM) menjadi wadah bagi civitas akademika untuk menerapkan hasil penelitian guna membantu menyelesaikan permasalahan di masyarakat. Kegiatan PKM ini bekerjasama dengan mitra yaitu restoran RR yang terletak di Jakarta. RR menyediakan layanan makan ditempat dengan menawarkan berbagai jenis menu makanan dan minuman. Kegiatan ini dilaksanakan pada bulan Agustus 2024 sampai Februari 2025. Kegiatan PKM dilaksanakan menggunakan metode wawancara, diskusi, dan lokakarya mini. Permasalahan yang dihadapi mitra yaitu manajemen dan pelayanan restoran masih dilakukan secara manual dan belum menerapkan teknologi informasi. Beberapa kendala yang dihadapi oleh mitra yaitu proses pelayanan menjadi lebih rumit ketika restoran ramai dan kepuasan pelanggan menjadi berkurang karena layanan yang kurang optimal misalnya terjadi kesalahan menyampaikan pesanan pelanggan. Pencatatan transaksi yang masih manual juga menjadi kendala bagi karyawan untuk membuat laporan. Tim PKM menawarkan solusi untuk membuat aplikasi berbasis website untuk mitra. Website yang dibuat oleh tim PKM menyediakan fasilitas utama yaitu layanan pemesanan, pencatatan transaksi, dan manajemen data. Aplikasi berbasis web ini dimanfaatkan untuk otomasi penyimpanan data transaksi, dan memudahkan pelayanan pemesanan.
Co-Authors Adela Calista Adela Tania Adithya Putra, Farhan Afrial, Farhan Andre Andre, Andre Andrian, Gion Andry Winata Angelica Christina Arya Bintang Saputra Arya Dwi Saputra Brando Dharma Saputra Cecillia Chung Chairisni Lubis Cherissa Aeryn Djaya Christina, Angelica Daffa Hilmi Aji Dara Kharisma Limparan David Jansen Dayanti, Afina Putri Desi Arisandi Desi Arisandi Djoenaedi, Owen Duncan Ariel Dwi Saputra, Arya Dyah Erny Herwindiati Dyah Erny Herwindiati Ericko, Teddy Faradila Herfiyana Fawaz Georgia Sugisandhea Hendryli, Janson Herfiyana, Faradila Huang, Jervis Irvan Lewenusa Irvan Lewenusa, Irvan Janson Hendryli Janson Hendryli Jason Jaya, Jefri Jayadi, Bryan Valentino Jeanny Pragantha Jeanny Pragantha Jeremia Pinnywan Immanuel Jochsen, Erico Jong, Fenny Jordi Pradipta Kusuma Jourdan Stanley Julius Juan Karnadi, Benny Kelvin Wijaya Kusuma, Jordi Pradipta Lely Hiryanto Lim, Maggie Lubis, M.Kom., Chairisni Mahendra, Izam Susilo Mahendra, Izam Susilo Manatap Dolok Lauro, Manatap Dolok Manatap Sitorus Marchel Yusuf Rumlawang Arpipi Mathew Judianto Matthew Oni Matthew Russel Paul Mohammad Faraditya Eka Putra Monica Ong Muhammad Isnaini Syaifudin Nicko Kurniawan Novario Jaya Perdana Owen Maytrio Phratama Paulus Samotana Zalukhu Phratama, Owen Maytrio Purba, Andrew Castello Putra, Tommy Wijaya Sandy Permadi Sormin Sitorus Dolok Lauro , Manatap Sopany, Mikael Reichi Sumarlie , Devid Sumarlie, Aurellia Clearesta Tanudy, Clara Tasya Syamsudin Tedja, Peter James Tony Tony Veri Wasino Wasino Wasino Wasino, Wasino William William Winata, Andry Zyad Rusdi