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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Jurnal Informatika Upgris Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Informatika Global IJEEIT : International Journal of Electrical Engineering and Information Technology Journal of Information Systems and Informatics bit-Tech Jurnal Informatika dan Rekayasa Perangkat Lunak JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pendidikan dan Teknologi Indonesia Best : Journal of Applied Electrical, Science and Technology Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) JUTECH : Journal Education and Technology Journal Computer Science and Informatic Systems : J-Cosys Jurnal Mandiri IT International Journal Software Engineering and Computer Science (IJSECS) Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Informatika Teknologi dan Sains (Jinteks) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Journal of Scientech Research and Development Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research SmartComp CSRID
Permatasari, Hanifah
Universitas Duta Bangsa Surakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Sistem Pendukung Keputusan Pemilihan Calon Penerima Beasiswa dengan Multi Objective Optimization on The Basis of Ratio Analysis Kuncorowati, Dewi; Purwanto, Eko; Permatasari, Hanifah
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6579

Abstract

The selection of scholarship candidates has so far been conducted manually and is not well-documented. The selection process is based on the opinions or personal preferences of the selection team, which can lead to unfairness. There is no consistent standard for evaluating the criteria of scholarship candidates.This study develops a Decision Support System (DSS) for selecting school scholarship candidates using the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method. This method is chosen for its ability to handle various qualitative and quantitative evaluation criteria, such as academic achievement, economic conditions, and extracurricular participation. The system is designed to produce candidate rankings objectively and transparently, facilitating fair and accurate decision-making by the school. Testing results indicate that the MOORA-based DSS can provide accurate and consistent recommendations, enhancing the efficiency of the selection process and stakeholder satisfaction. This research also opens opportunities for further development by integrating technologies such as machine learning to enhance system capabilities. The results of this study can assist in determining acceptance of the scholarship
PREDIKSI HARGA SAHAM PT BANK CENTRAL ASIA TBK DENGAN MENGGUNAKAN ALGORITMA AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Tri Wulandari, Rahmawati Desi; Nurmalitasari, Nurmalitasari; Permatasari, Hanifah
Infotech: Journal of Technology Information Vol 10, No 2 (2024): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i2.278

Abstract

Stock prediction is one of the important things in stock trading. It calculates the potential worth of stocks or other financial assets that are traded on stock exchanges. The precision of stock forecast outcomes serves several purposes, principally providing investors with protection from possible market hazards and opening doors for index traders, market speculators, and arbitrageurs to make money. This study used the Autoregressive Integrated Moving Average (ARIMA) model and the Google Colab website to examine and predict the closing price of PT Bank Central Asia Tbk shares. This study uses daily historical stock data from 01 January 2020 to 01 January 2024. The ARIMA (1.0.1) model is the most accurate model for predicting the closing price of PT Bank Central Asia Tbk shares, according to the study’s findings.ABSTRAKDalam trading saham, Prediksi saham adalah hal yang sangat penting. Mengetahui nilai masa depan saham perusahaan atau instrument keuangan lainnya yang diperdagangkan di bursa keuangan adalah sesuatu yang menarik. Banyak hal dipengaruhi oleh akurasi hasil prediksi saham, terutama kebutuhan bagi investor untuk melindungi nilai mereka dari resiko pasar yang mungkin terjadi, peluang bagi speculator pasar dan arbitrase mengambil keuntungan dari indeks perdagangan. Tujuan penelitian ini untuk memprediksi harga penutupan saham PT Bank Central Asia Tbk dengan menggunakan model Autoregressive Integrated Moving Average (ARIMA) dan menganalisisnya dengan menggunakan website Google Colab. Penelitian ini menggunakan data historis harian saham dari tanggal 1 Januari 2020 hingga tanggal 1 Januari 2024. Hasil studi menunjukkan bahwa model ARIMA (1.0.1) adalah yang terbaik untuk meramalkan harga penutupan saham pada perusahaan ini.
Pengembangan Website Speech To Video Bahasa Isyarat Indonesia (Bisindo) Berbasis Algoritma Long Shot Term Memory Deleviar, Angky Fay; Intan Oktaviani; Hanifah Permatasari
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.26117

Abstract

Indonesian Sign Language (BISINDO) is an essential communication tool for more than one million deaf people in Indonesia. This research aims to develop a Speech to BISINDO website based on the Long Short-Term Memory (LSTM) algorithm to overcome barriers in communication and learning processes for the deaf community. The research stages include data collection through questionnaires and literature studies to understand user needs, as well as system development using the Rational Unified Process (RUP) method. The system is designed to convert voice input into sign language videos and support the sign language learning process through interactive features. Testing was conducted to ensure that the system meets functional and non-functional needs. The results show that the Speech to BISINDO website is effective in translating speech into sign language videos with high accuracy, as well as supporting better communication and learning between deaf people and the general public. The system offers an innovative solution to improve access to information and learning process for people with hearing impairment.
Design of construction material sales prediction system using the svm method on Tb. Samijaya Sejati, Ariya Putra; Permatasari, Hanifah; Atina, Vihi
Jurnal Mandiri IT Vol. 13 No. 3 (2025): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i3.331

Abstract

TB. Sami Jaya is a construction materials provider company offering key components like sand, nails, cement, iron, heavy steel, and electronic products for infrastructure construction projects. In the era of rapid technological development, the company faces the challenge of making accurate sales predictions. This study aims to develop a sales prediction system using Support Vector Machine (SVM) to help TB. Sami Jaya optimize the supply of construction materials based on existing transaction data, collected from November to December 2023. By identifying relevant trends and patterns, the goal is to generate more reliable projections, thereby reducing the risk of inventory excess or shortage, which increases operational costs and decreases customer satisfaction. The model's performance is evaluated by comparing the prediction results with actual data using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The Rational Unified Process (RUP) method is employed for information system development. The results indicate that using SVM for predicting sales of construction materials is effective and helps optimize inventory management.
Implementasi Sistem Irigasi Otomatis Berbasis IoT untuk Pertanian Greenhouse Wahyudi, Wahyudi; Pradana, Afu Ichsan; Permatasari, Hanifah
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 2 (2025): JPTI - Februari 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.656

Abstract

Pertanian merupakan sektor vital dalam pemenuhan kebutuhan pangan di Indonesia, namun masih menghadapi tantangan dalam efisiensi irigasi dan regenerasi petani. Penelitian ini mengembangkan sistem irigasi otomatis berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP32 dan sensor kelembaban tanah untuk meningkatkan efisiensi penggunaan air pada pertanian greenhouse. Data sensor dikirim ke platform Thingspeak untuk pemantauan real-time, sementara pengendalian penyiraman dilakukan berdasarkan kelembaban tanah yang terdeteksi. Hasil penelitian menunjukkan bahwa sistem ini mampu mengurangi penggunaan air sebesar 30% dibandingkan metode konvensional, serta meningkatkan efisiensi energi dengan optimalisasi siklus penyiraman. Implementasi teknologi ini berpotensi menjadi solusi strategis dalam meningkatkan keberlanjutan pertanian dan menarik minat petani muda terhadap teknologi agrikultur.
Web-Based Financial Information System at Digimizu Digital Management Listiani, Titin; Purwanto, Eko; Permatasari, Hanifah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3329

Abstract

Digimizu Digital Management specializes in Software and Photography as well as Digital Content while delivering on-demand services. The company operates without a computerized information system for managing both transactions and financial reports. The company handles orders manually via WhatsApp or face-to-face interactions while transaction records are kept on paper and within Microsoft Excel files. Data loss becomes possible alongside human errors and inaccurate reporting while real-time data access and monitoring face constraints. The company needs a web-based financial information system which should combine transaction automation with customer data management functions alongside quick and accurate financial report generation. The development of the financial information system utilizes the SDLC method with the Waterfall model and system weaknesses analysis through the PIECES method with UML (Unified Modeling Language) support. This system implementation will bring efficiency to Digimizu Digital Management's business procedures while decreasing errors in recording and enabling real-time financial activity tracking which will enhance overall company performance.
PENGARUH OPTIMIZER TERHADAP AKURASI KLASIFIKASI PISTACHIO MENGGUNAKAN MOBILENETV2 Liana Trihardianingsih; Hanifah Permatasari
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5571

Abstract

Inovasi teknologi di bidang pertanian berperan penting dalam meningkatkan produktivitas hasil panen serta berkontribusi pada kesejahteraan petani. Salah satu komoditas pertanian bernilai tinggi adalah kacang pistachio. Pada penelitian ini diusulkan klasifikasi jenis pistachio dengan mengambil dua varietas utama yang sering dijumpai, yaitu Kirmizi dan Siirt menggunakan model MobileNetV2. Proses pendistribusian dataset dilakukan secara acak menjadi tiga bagian train, validasi, dan testing menggunakan rasio 80:10:10. Proses klasifikasi dilakukan dengan menggunakan batch size 32, epoch 50, dan learning rate 1e-4. Untuk mengoptimalkan kinerja MobileNetV2, dilakukan pengujian menggunakan dua jenis optimizer yang berbeda, yaitu Adam dan SGD. Hasil penelitian menunjukkan bahwa penggunaan optimizer Adam pada MobileNetV2 menghasilkan akurasi yang lebih tinggi dibanding penggunaan optimizer SGD. Dengan menggunakan Adam diperoleh akurasi sebesar 96,30% sedangkan pada SGD diperoleh akurasi yang lebih rendah yaitu 91,20%. Hal ini membuktikan bahwa Adam memiliki kemampuan yang dapat menggabungkan keunggulan dari momentum dan adaptive learning rate, yang membuatnya lebih efisien dalam konvergensi serta lebih stabil dalam menemukan titik optimal sehingga memperoleh akurasi yang lebih tinggi dibanding menggunakan SGD
Sistem Informasi Monitoring Peserta Magang Berbasis Web Pada Perusahaan XYZ Setiawan, Stevania; Permatasari, Hanifah; Irawan, Ridwan Dwi
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.2.2024.148-160

Abstract

This research aims to address the issue of manually monitoring the attendance of interns at XYZ Company by developing a Web-Based Attendance Monitoring Information System. The system development method uses the Software Development Life Cycle (SDLC) approach. This system utilizes QR Code technology to facilitate the attendance process of interns, ensure data authenticity, and provide real-time monitoring. The research results show that this system can improve the accuracy of attendance data, reduce the potential for fraud, and simplify the management of interns for the company. The system also offers features for interns to view their attendance history, fill in logbooks, and request leave. Administrators can monitor intern attendance, view attendance reports, and manage intern data. The system is implemented using PHP Native and MySQL as the database. With this system, it is expected to increase efficiency and integrity in monitoring interns at XYZ Company.
Implementasi Sistem Informasi Tes Psikologi Berbasis Web Pada Penerimaan Karyawan Baru Menggunakan Metode Waterfall Hany Arya Wardhany; Eko Purwanto; Hanifah Permatasari
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i3.734

Abstract

Penelitian ini dilakukan karena perkembangan teknologi yang semakin pesat, dan masih banyaknya perusahaan yang belum meodernisasi sistem dalam perekrutan karyawan khususnya pada saat pelaksanaan tes psikologi. Perusahaan masih menggunakan sistem manual dengan menggunakan kertas saat pelaksanaanya, sehingga akan membutuhkan banyak waktu saat proses koreksi. Pembangunan sistem ini ditujukan untuk membantu perusahaan khususnya bagi pelaksana tes psikologi agar lebih efisien dan efektif dala pelaksanaan tes, hasil yang diperoleh akurat dan dapat dilaporkan saat itu juga. Sistem ini dibangun dengan menggunakan metode pengembangan waterfall dan berbasis web. Hasil dari pembangunan sistem ini adalah sebuah sistem tes psikologi untuk calon karyawan agar dapat mengetahui kemampuan kognitif calon karyawan tersebut. Sistem ini juga user friendly sehingga tidak membingungkan calon karyawan yang pertama kali mencoba sistem ini.
Penerapan Metode Prototype pada Sistem Informasi Penjualan Hampers Buket di Hampersku.Id Berbasis Website Randis Wahyuni; Hanifah Permatasari; Eko Purwanto
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 3 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i3.767

Abstract

Hampersku.id merupakan UMKM yang berdiri pada tahun 2020 menyediakan layanan pembuatan berbagai jenis produk  paket hampers dan paket buket seperti  bunga, snack makanan dll. Sistem Penjualan yang diterapkan pada Hampersku.id masih tergolong manual dan belum efektif, yaitu pembeli harus datang ke toko atau memesan produk lewat chat WhatsApp, Instagram. Serta alur pembayaran Hampersku.id saat ini masih manual berupa pembeli membayar langsung atau melalui transfer antar bank kemudian mengirim bukti transfer ke chat admin dan admin mengecek kemudian memproses pesanan, hal tersebut memberikan kurang maksimalnya pelayanan terhadap pembeli.  Untuk mengatasi permasalahan tersebut sistem informasi penjualan ini harapkan untuk memberikan kemudahan pembeli dalam melakukan pemesanan dan pembayaran serta menikatkan kinerja admin sehingga menikatkan penjualan dan pelayanan sehingga loyalitas pembeli tetap optimal. Sistem penjualan ini dirancang dengan metode Prototype yang berikan kemudahan dalam penyelesaikan sistem ini yang disesuaikan kebutuhan user dan diharapkan dapat mengatasi permasalahan yang ada dan membantu meningkatkan efektifitas penjualan.
Co-Authors Abdul Rohim Bayu Aji Prayogo Abdullah Sajad Aditya Gema Pratama Aditya Rachman Putra Agustina Niken Laraswati Agustina Srirahayu Ahmad Khairul Adi Aldova Herbryan Putra Alfisal Punjung Kurniawan Amad Tri Yanto Andi Saputro Andika Pratama Ardiansyah, Muhammad Irfan Arif Wicaksono Septyanto Arif Wicaksono Septyanto Armeta Eka Putri Wibowo Artdelia Pingkan Salsabilla Artdelia Pingkan Salsabilla Atina, Vihi Atmojo, Fernando Winantya Bagas Setiadi Bahrul Aziz Rifai Bangun Prajadi Cipto Utomo Berlian Agustina, Anggun Brian Bagus Apriansah Cikal Fauziah Fatin Sawitri Claudia Swastikawati Dear Whizkid Aziiz Deleviar, Angky Fay Dewangga Ranggi Wiku Didik Kurniawan Dinda Amelia Galuh Puspita Sari Dinda Rizky Asmara Dos Santos, Savio Nelinhos Dwi Hartanti Dwi Hartanti Dwi Prasetiyo Dwi Septieni Dwika Nur Arifin Eka Arya Saputra Eka Wijanarka Satata Putra Eko Purwanto Eko Purwanto Eko Purwanto Erlang Bagus Sadewa Faiq Muhammad, Nibras Fany Kusuma Dewi Farida Surya Jati Fatimah Naim Azahara Faulinda Ely Nastiti Febrianti, Krisna Fitriana Sekar Kinasih Ghani Ardiesta, Alif Gian, Habib Nur Habib Nur Gian Hanif Nur Ahmad Hanif Sangga Paramanandi Hany Arya Wardhany Hartanti, Dwi Hasanah, Herliyani Henokh Lugo Hariyanto Hidayatullah, Muhamad Ichsan Ichsan Pradana, Afu Ika Putri Pujianti Indah Nofikasari Inta Oktaviani Intan Oktaviani Irawan, Ridwan Dwi Janah, Selvi Miftakhul Joel Adikurnia Purnama Kukuh Supriyanto Kuncorowati, Dewi Liana Trihardianingsih Linda Kusuma Dewi Listiani, Titin Ma'ruf Nur Muhammad Maharani, Tiara Putri Maulindar, Joni Mochamad Saefudin Moh. Muhtarom Muhammad Alwan Nurdin Muhammad Exsa Nugroho Muhammad Hashfi Rafid Muttaqin Muhammad Khovivul Anam Muhtarom, Moh Nafaria Rohmandani Ni’mal ‘Abdu, Aghni Rizqi Nibras Faiq Muhammad Novita Widyasari Nur Indahsari, Reggie Nurchim Nurchim Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Otami Amalina Pipin Widyaningsih Pradana, Afu Ichsan Pramono Pramono Purwanto, Eko Putri Wibowo, Armeta Eka Rahadian, Dwiki Rasya Raihan Abdurrahim Al Ayyubi Ramadhan, Chandra Randis Wahyuni Rani Elsa Putri Ricky Eko Novianto Rico Yoga Pradana Ridho, Taufik Rini, Selfia Yustika Riyan Hidayah Robi Wariyanto Abdullah Rudi Susanto Sabar Sularno Salsabila Nurul Afifah Saputri, Okta Ramma Saputro, Khoirul Adi Saputro Sebastian, Angga Sejati, Ariya Putra Setiadi, Bagas Setiawan, Stevania Shandra Isti Kharisma Auliya Alamsyah Sigit Gunawan Siti Fatimah Siti Munawaroh Sofa Marwati Sri Mahardhika Pratiwi Sri Sumarlinda Srirahay, Agustina Stevania Frederica F.S Stevania Setiawan Sukma, Cahyaning Arum Surya Jati, Farida Telaga Nabila Putri Riyanto Toni Iksanudin Tri Wulandari, Rahmawati Desi Triyono Triyono Triyono Triyono Triyono Utomo, Bangun Prajadi Cipto Vanya Tabitha Wahyu Cahya Adi Putra Wahyudi Wahyudi Wanda Fadillah Wibowo, Anita Carolina Yogi Setyawan Putra Pratama Yuda Abi Bagaskara Zeno Candragufa Muria