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All Journal Jurnal Simetris Prosiding SNATIF Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal JUPITER (Jurnal Pendidikan Teknik Elektro) Jurnal Pendidikan Fisika dan Keilmuan (JPFK) Jurnal Sisfokom (Sistem Informasi dan Komputer) DoubleClick : Journal of Computer and Information Technology DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Diklat Review : Jurnal manajemen pendidikan dan pelatihan Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] bit-Tech Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Generation Journal Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Budimas : Jurnal Pengabdian Masyarakat Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Nusantara Science and Technology Proceedings Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Multicience Jurnal Ekonomi TIERS Information Technology Journal Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Teknik Informatika Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Digital Transformation Technology (Digitech) Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Pena Dimas: Jurnal Pengabdian Masyarakat SATIN - Sains dan Teknologi Informasi Nusantara Journal of Computers and its Applications Journal Of Artificial Intelligence And Software Engineering SmartComp
Hasanah, Herliyani
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Perbandingan Tingkat Akurasi Penyakit Diabetes Menggunakan Metode Regresi Logistik dan Random Forest Saputro, Khoirul Adi; Atsir, Ega Muhammad; Hasanah, Herliyani
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp159-166

Abstract

This study analyzes and compares the performance of Logistic Regression and Random Forest methods in diabetes prediction. Diabetes is an increasingly common chronic condition. If left untreated, diabetes can cause major problems. Predicting and detecting diabetes early is very important. This study uses a dataset from Kaggle consisting of 9 demographic and clinical variables. The research method includes data collection and pre-processing, model selection, model training, and model evaluation. The results showed that the Random Forest model had 97.0% accuracy and 95.6% precision, which was higher than the Logistic Regression which had 95.9% accuracy and 86.4% precision. Although both models faced challenges in predicting positive classes, Random Forest performed better with a recall of 68.4% and F1-Score of 79.7%, compared to Logistic Regression which had a recall of 61.3% and F1-Score of 71.8%. This study advances our knowledge of how machine learning techniques can be applied to diabetes prediction and helps in the creation of more accurate and productive diagnostic tools for use in clinical settings.
Sistem Rekomendasi Peminjaman Buku Menggunakan Metode Vector Space Model Berbasis Pembobotan TF-IDF dan FastText (Studi Kasus Perpustakaan SMP Negeri 1 Kartasura) Buana Perdana, Rendi; Hartanti, Dwi; Hasanah, Herliyani
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (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.v8i2.30540

Abstract

Libraries play an important role in supporting the learning process at school. However, in its utilization, students often find it difficult to find books that suit their needs and interests due to the non-optimal management of the book collection. This problem also occurs at SMP Negeri 1 Kartasura, where there is no system that can generate book recommendations automatically and relevantly. The purpose of this research is to build a Content-Based Filtering-based book recommendation system with the Vector Space Model method which is further developed by combining TF-IDF weights and word vector representation from FastText, resulting in the TF-IDF Weighted with FastText technique. TF-IDF is used to determine the importance of a word in a book description, while FastText is used to capture the semantic meaning of the word in more depth. The system is implemented using book collection data in SMP Negeri 1 Kartasura Library, with input in the form of keywords from users. The document vector representation resulting from the combination of TF-IDF and FastText is then calculated using cosine similarity to determine the most relevant book. Evaluation was then conducted using the Precision@10 metric against ten different keywords, and the system produced an average Precision@10 of 0.93, indicating that 93% of the recommendations provided by this system are relevant to the user's keywords.
Optimasi Forecasting Data Penjualan Menggunakan Weighted Moving Average dan Analytical Hierarchy Process Amilia Ayu Lala Kusumaningtyas; Herliyani Hasanah; Wijiyanto
SATIN - Sains dan Teknologi Informasi Vol 9 No 2 (2023): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v9i2.981

Abstract

Pentingnya peran forecasting system guna menentukan jumlah ketersedian barang pada periode-periode tertentu dalam suatu perusahaan guna mencegah terjadinya out of stock, slow moving, dan atau dead stock yaitu barang terlalu lama disimpan, tidak laku jual sehingga menimbulkan kerugian besar. Hal tersebut dikarenakan persediaan barang dalam perusahaan tidak dapat dikendalikan atau gagal dalam mengelola stok barang karena kurangnya aktivitas pengecekan stok barang yang terus berubah. Sistem peramalan ini akan diterapkan di gudang PT Lopiana Sejahtera Abadi. Metode yang digunakan adalah Weighted Moving Average (WMA) dan Analytical Hierarchy Process (AHP). Algoritma Weighted Moving Average (WMA) digunakan untuk mengontrol jumlah persedian olahan daging dan seafood dalam gudang dengan memprediksi angka penjualan di bulan berikutnya berdasarkan data aktual penjualan empat bulan sebelumnya. Metode Analytical Hierarchy Process (AHP) digunakan dalam pengambilan keputusan secara hirearki berdasarkan angka hasil perhitungan sistem peramalan sebelumnya dengan metode WMA. Pengambilan keputusan tersebut merupakan tujuan optimasi dari forecasting system data penjualan olahan daging dan seafood di PT Lopiana Sejahtera Abadi. Dengan adanya pengambilan keputusan secara hirearki, sehingga pengambilan keputusan penyediaan olahan daging dan seafood dapat dilakukan dengan memilih yang terbaik dengan beberapa kriteria.
ANGKRINGAN 5.0: IMPLEMENTASI GREEN ENERGY DAN KOMPUTASI CERDAS Hasanah, Herliyani; Lestari, Wiji; Nugroho, Novemy Triyandari; Susanto, Rudi
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1894

Abstract

Society 5.0 is a concept of convenience for humans controlled by technology in fulfilling social and economic behavior. The use of technology in the form of hardware and software requires high energy. The need for energy will add to problems in energy supply. To anticipate this, the equipment and facilities used by small and medium enterprises (SMES) must be designed to use sustainable energy and resources or green energy. The angkringan business is one of the typical SMES in Indonesia. The angkringan business also faces tough competition to survive in the culinary business. For this reason, innovation and development are needed, including strategies that carry traditional nuances combined with modern technological information. Green energy is developed using solar cells which will be implemented in Gerobak Angkringan. Intelligent computing will be implemented in applications to manage solar cell energy distribution and prediction. Furthermore, intelligent computing will be implemented in the Angkringan 5.0 application. The stages of implementing devotion activities include preparation, implementation and evaluation. The off-grid PLTS unit implemented for the Angkringan Suhe Railway Museum uses 200 Wp solar panels. An intelligent computing system has been implemented in the application to manage the distribution and prediction of solar cell energy. Furthermore, intelligent computing will be implemented in the Angkringan 5.0 application. This application is useful for helping small and medium enterprises (SMES), especially Angkringan traders. This application is useful for monitoring the weather when selling angkringan, so that angkringan traders anticipate these conditions. The System Usability Scale (SUS) Testing Instrument with 10 questions obtained a SUS test calculation result of 82.5, so it can be said that the system built meets the SUS.
IMPLEMENTATION OF ASSOCIATION RULES USING APRIPORI ALGORITHM FOR ANGKRINGAN Lestari, Wiji; Hasanah, Herliyani; Susanto, Rudi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3425

Abstract

Angkringan is a culinary business that is often found, especially in Surakarta and Yogyakarta in particular and Central Java in general. Most angkringan include small and medium enterprises (SMES). Food and drink merchandise mapping is an important thing in angkringan. In this research, food and drink mapping was carried out at several snack bars in Jebres sub-district, Surakarta city using word clouds and the Apriori algorithm. The word cloud will produce the dominant food and beverage itemsets which will then be processed using the Apriori algorithm. The results of mapping with the Apriori algorithm for food yield support(tempeh) = support (tofu) = 95 which is the highest. Relationship value between dominant itemsets: Confidence(tempeh, tofu→satay, milkfish rice, quail egg, bakwan) = 21. Results for drinks have the highest support value for tea, support(tea) = 100. Relationship value between dominant itemsets: Confidence(tea → coffee, milk, ginger) = 15.
Improving Customer Service Quality through the Utilization of Google Suites in Landing Page Creation Purwanto, Moch. Edy; Hasanah, Herliyani; Purwanto, Eko
Jurnal Ekonomi Vol. 13 No. 02 (2024): Jurnal Ekonomi, Edition April - June 2024
Publisher : SEAN Institute

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

Abstract

This research investigates the utilization of Google Suites for enhancing customer service quality through the creation of landing pages. Landing pages play a crucial role in digital marketing by capturing visitors' attention and converting them into customers or leads. Leveraging Google Suites, including tools such as Google Sites, Google Forms, and Google Analytics, offers organizations a comprehensive platform for designing, deploying, and analyzing landing pages to better serve their customers. Through a thorough examination of scholarly articles and relevant publications, this research synthesizes existing literature to explore the benefits and challenges of utilizing Google Suites for landing page creation. It delves into case studies and practical examples to provide insights into how organizations can effectively leverage Google Suites to optimize landing page design, personalize customer experiences, gather valuable feedback through forms, and analyze performance metrics using analytics tools. Moreover, the study examines the impact of improved landing page quality on customer satisfaction, engagement, and retention. By employing quantitative methodologies, this paper offers critical insights into the potential of Google Suites as a valuable resource for enhancing customer service quality in the digital age. It underscores the importance of integrating technology-driven solutions into customer service strategies to meet the evolving needs and expectations of today's consumers. The findings contribute to advancing understanding of the role of technology in customer service excellence and provide practical implications for organizations seeking to leverage Google Suites for effective landing page management.
PKM INDUKSI TEKNOLOGI ANGKRINGAN 5.0 DENGAN IMPLEMENTASI GREEN ENERGY DAN KOMPUTASI CERDAS PADA UMKM Rudi Susanto; Herliyani Hasanah; Wiji Lestari; Novemy Triyandari Nugroho
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 2 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i2.17197

Abstract

Perkembangan teknologi di era Society 5.0 menuntut Usaha Mikro, Kecil, dan Menengah (UMKM) untuk beradaptasi, terutama dalam penggunaan teknologi yang berkelanjutan. Salah satu tantangan yang dihadapi adalah tingginya konsumsi energi dan kurang optimalnya sistem produksi, manajemen serta pemasaran. Tujuan kegiatan PKM ini untuk meningkatkan daya saing UMKM, khususnya Angkringan Suhe yang beralamat di komplek museum kereta api di Kabupaten Semarang. Metode yang digunakan pada PKM ini meliputi Persiapan dan Koordinasi, Pelatihan, Penerapan teknologi, Pendampingan dan evaluasi. Hasil dari kegiatan ini berupa peningkatan mitra dalam hal pengetahuan dan ketrampilan pada bidang produksi, manajemen dan pemasaran. Selain itu, mitra juga telah menerapkan teknologi mencakup panel surya untuk energi berkelanjutan dan sistem informasi angkringan berbasis web (siangkringan.com) untuk mempermudah pengelolaan bisnis angkringan. Kesimpulannya adalah implementasi teknologi hijau/panel surya dan digitalisasi membantu UMKM menghadapi tantangan di era Industri 4.0 dan Society 5.0 dengan lebih efektif dan efisien.
Sistem Pendukung Keputusan Pemilihan Kinerja Karyawan Terbaik dengan Metode Simple Additive Weighting Sulistyani, Widya; Hasanah, Herliyani; Widyaningsih, Pipin
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.2653

Abstract

Sistem yang berjalan untuk pemilihan karyawan terbaik pada Koperasi Mitra Dhuafa Cabang Kecamatan Kedungjati menggunakan sistem manual, yaitu hanya menghitung jumlah penilaian coretan dalam transaksi dan net anggota masuk pada bulan tersebut. Hal itu tentu saja tidak fair dalam perhitungannya karena dari beberapa karyawan tidak hanya berfokus pada pencarian anggota masuk saja tetapi juga ada yang berfokus pada pengurangan anggota yang bermasalah. Tujuan dalam penelitian ini adalah membangun sistem pendukung keputusan (SPK) pemilihan karyawan terbaik dengan Metode SAW. Konsep dasar metode Simple Additive Weighting (SAW) yaitu dengan pencarian penjumlahan bobot dari rating kinerja pada setiap alternatif untuk semua kriteria. Kriteria sistem pendukung keputusan berdasarkan kehadiran, administrasi, capaian target, penyelesaian masalah dan kedisiplinan. Hasil dari penelitian dapat menjadi rekomendasi terbaik bagi pimpinan untuk menentukan kinerja karyawan terbaik. Urutan pemilihan karwan yang dihasilkan dari penerapan metode SAW adalah A4 dengan nilai akhir 0.841.
PELATIHAN APLIKASI KEUANGAN PADA INDUSTRI SABUN TANRE. SKIN MENUJU GO DIGITAL Hasanah, Herliyani; Sulistiyanti, Anik; Nofikasari, Indah
Diklat Review : Jurnal manajemen pendidikan dan pelatihan Vol. 4 No. 3 (2020): Penguatan Pelayanan Publik dan Inovasi Riil melalui Pengabdian Masyarakat dan P
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/diklatreview.v4i3.567

Abstract

Mitra dalam kegiatan ini adalah Tanre.Skin di Kabupaten Semarang yang bergerak di bidang industri sabun. Masalah yang dihadapi mitra adalah mitra belum dapat mengukur perkembangan bisnis karena tidak ada pemisahan keuangan pribadi dan bisnis. Mitra belum membuat catatan keuangan, baik arus kas maupun laba rugi. Mitra hanya mencatat transaksi harian dan persediaan yang masih dicatat secara manual menggunakan kertas. Tujuan dari kegiatan ini adalah memberikan pelatihan tentang aplikasi keuangan kepada para mitra yang berharap dapat lebih mudah dan efisien dalam pengelolaan keuangan. Hasil kegiatan pelatihan menunjukkan bahwa rata-rata persentase peningkatan nilai post test peserta dalam bidang manajemen keuangan sebesar 45,45% dan pada penggunaan teknologi informasi sebesar 41,17%. Hal ini menunjukkan bahwa kegiatan pengabdian masyarakat memberikan peningkatan pemahaman dan ketrampilan dalam penggunaan aplikasi keuangan bagi timTanre.Skin.
Implementasi Smart Farming Tanaman Pakcoy Berbasis Internet of Things Arfian Panji Sjifa; Rudi Susanto; Herliyani Hasanah
JUPITER (JURNAL PENDIDIKAN TEKNIK ELEKTRO) Vol. 10 No. 2 (2025)
Publisher : Universitas PGRI Madiun

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

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem Smart Farming berbasis Internet of Things (IoT) yang mampu mengontrol suhu, kelembaban udara, kelembaban tanah, dan curah hujan secara real-time pada tanaman pakcoy. Sistem ini dibangun menggunakan NodeMCU ESP8266 sebagai mikrokontroler utama yang terintegrasi dengan sensor suhu dan kelembapan XY-MD02, sensor kelembapan tanah, serta sensor hujan digital. Data yang diperoleh ditampilkan melalui LCD I2C dan dashboard Blynk, serta dikirimkan notifikasi otomatis ke aplikasi Blynk dan email pengguna jika terjadi hujan atau cuaca cerah. Aktuator berupa pompa air dikendalikan otomatis berdasarkan nilai kelembaban tanah, dengan indikator LED sebagai penanda status penyiraman. Hasil pengujian menunjukkan bahwa sistem bekerja dengan stabil dan responsif. Tingkat error sensor XY-MD02 terhadap alat ukur pembanding adalah 1,38% untuk suhu dan 6,36% untuk kelembaban udara, sedangkan waktu pengiriman notifikasi dicatat tanpa jeda (0 menit) dari pembacaan data sensor. Penelitian selanjutnya dapat diarahkan pada pengembangan sistem dengan penambahan fitur penyimpanan data cloud, penggunaan energi alternatif, dan peningkatan perlindungan perangkat agar lebih adaptif terhadap kondisi lingkungan.
Co-Authors Abi Yudistira, Muhammad Abinaya Awalia Adristi Asyifa, Elga Adi Nugroho, Rezza Adi Putra Wiratama, Ryan Adji Rohman, Bagus Afu Ichsan Pradana Agustina Srirahayu Ahmad Tomi Alamsyah, Bintang Aljundi, Izudin Alvian Andrianto, Rahmad Amilia Ayu Lala Kusumaningtyas An-Najmutsaqib, An-Najmutsaqib Anik Sulistiyanti Anisatul Farida Ardi Lestari, Sofiana Ardian Saputra, Muhammad Ardina Juliani, Novita Arfian Panji Sjifa Arfiyan, Muhammad Ariya Budi Santoso Arlin Govinda Putra Artika Rahmawati, Dinda Arya Kusuma, Aldy Athallah Maulana Faiq, Muhammad Atina, Vihi Atsir, Ega Muhammad Azzahra, Afifah Bachtiar Estu Saputro Bahtiar Rifai, Afin Begti Rizal Nugroho, Nanda Bima Priambada, Garneza Bimantara, Anugrah Buana Perdana, Rendi Burhanudin, Latif Carlos Ximenes, Egidio Chris Hendrato, Jehian Christian Putra Pratama, Michael Claudia Swastikawati Daffa Rizki Putra Noordi Darmaji, Farid Dewi Anggraini, Puspita Dimas Dewanto, Ignatius Divia Putri, Radika Dwi Hartanti Dwi Refa, Arjuna Edy Kurniawan Eka Kurniawan, Geraldi Eko Purwanto Ester Anugrayningtyas Fajar Wahyu Hanafi Farid Darmaji Fathi Zakka, Danang Febriano Dos Santos, Lissandro Fitria Eko Nurjanah Galih, Rhezka Mahendra Hanan Assyauqi, Wildan Handreas Satria, Vieri Ibrahimovic, Ridho Ilham Amani Saiful Haq Ilyas Nurulloh, Muhammad Intan Oktaviani Karininna, AllisyaYunda Kasetyaningsih, Sufia Widi Lestari, Fany Lila Aprilia, Arlinda Marcelina, Indi Marcelino Jonatan Mashar, Muhammad Ali Maulana Firmansyah, Iqsal Maulid Ardiyan, Afrilza Maulindar, Joni Moh Muhtarom Muh Amin Faiz Nur Ridho Muh. Ali Mashar Muhamad Aldiyansyah Muhammad Dion Febrian Tino Muhtarom, Moh Mulindar, Joni Nada Febriani, Nada Naoki Priyanto, Braverindo Nastainu Huda Alriefna, Muhammad Nastiti, Faulinda Eli Nofikasari, Indah Novemy Triyandari Nugroho Nugroho Arif Sudibyo Nurchim Nurchim Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Oktaviani, Intan Pangestu, Arnan Dwi Pasha Alghifary, Haikal Perdana Artania, Ipung Permatasari, Hanifah Pineda Prima Yoga Pipin Widyaningsih Prasetyo, Adi Tri Pratama, Hafiz Primadinata, Dimas Purwanto, Moch. Edy Putri Ristiyani, Asyira Raihan Ardiansyah, Muhammad Rijalul Hakim, Hanan Risandi, Arfika Putri Rizky Fadrilah, Septian Rohmad Mansa, Abel Rudi Susanto Safa Ariesta, Syahada Saktiawan, Galang Saputra Jati, Nugroho Saputro, Khoirul Adi Sarah Raihan, Alexadria Septiano Ozora, Kevin Setya Pradhana, Wahyudi Soenoto, Danudiraja Sri Sumarlinda Sufia Widi K. Sulistyani, Widya Suwandana, Alung Syaiful, Ido Syakuro, Abdan Syiffa Yofika Ailsa, Asy Tegar, Alfiyan Tegar Budi Satria Tino, Muhammad Dion Febrian Tri Djoko Santosa Ulung Septiaji, Dimas valentino, deva Viesta Marbun, Randy Viesta Marbun Wahyu Aji, Jatmika Wahyudi, Risqi Widya Sulistyani Wiji Lestari WIJI LESTARI Wiji Lestari Wijiyanto Wira Hadikusuma, Ananda Yuana Alifya, Alexsa Yusuf Arifin, Burhan Zakharia, Ade Zakiya Nafis, Muhamad Zulfia Zahra, Kerin