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All Journal Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Satya Widya Jurnal Ilmiah Bening : Belajar Bimbingan Dan Konseling IJISTECH (International Journal Of Information System & Technology) YUME : Journal of Management JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian kepada Masyarakat Nusantara Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Ekonomi Bisnis Dan Industri (EBI) IJISTECH Kibas Cenderawasih : Jurnal Ilmiah Kebahasaan dan Kesastraan Didaktika Brilliance: Research of Artificial Intelligence JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) International Journal Software Engineering and Computer Science (IJSECS) Lentera : Jurnal Ilmiah Kesehatan dan Keperawatan Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Jurnal Sehat Indonesia (JUSINDO) Malcom: Indonesian Journal of Machine Learning and Computer Science Golden Ratio of Data in Summary Jurnal Manajemen dan Bisnis Jurnal Ilmiah Pendidikan dan Keislaman Jurnal Keperawatan Innovative: Journal Of Social Science Research Journal of Research and Publication Innovation Jurnal Manajemen Sistem Informasi Journal of Accounting Information System Noumerico: Journal of Technology in Mathematics Education VIDHEAS: Jurnal Nasional Abdimas Multidisiplin El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ilmiah Kesehatan Pernus INCIDENTAL : JOURNAL OF COMMUNITY SERVICE AND EMPOWERMENT Prawara Jurnal Pengabdian Masyarakat
Sifa Fauziah, Sifa
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Penerapan Data Mining terhadap Pengaruh Ritme Circadian pada Performa Belajar Mahasiswa Soer, U Darmanto; Fauziah, Sifa; Fitra, Ridho Yusuf
Jurnal Teknologi Informatika dan Komputer Vol. 10 No. 2 (2024): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v10i2.2408

Abstract

Perkembangan teknologi informasi telah menghasilkan data yang mencakup berbagai bidang kehidupan, termasuk di bidang pendidikan perguruan tinggi. Teknologi informasi telah menciptakan banyak data dalam berbagai aspek kehidupan, termasuk pendidikan. Di perguruan tinggi, data mahasiswa dan proses pembelajaran memberikan peluang untuk meningkatkan kualitas pendidikan, tetapi persaingan antar perguruan tinggi juga semakin kompetitif. Data mahasiswa di perguruan tinggi menyimpan informasi berharga mengenai profil dan hasil akademik mereka. Namun, menghadapi tuntutan zaman yang semakin produktif, manusia sering mengalami stres dan gangguan tidur yang dapat berdampak negatif pada performa dan kesehatan. Tidur dan ritme circadian memainkan peran penting dalam kesehatan dan produktivitas manusia. Gangguan tidur dan ritme circadian yang terganggu dapat mempengaruhi konsentrasi, memori, dan pemecahan masalah mahasiswa. Dalam konteks ini, menjaga ritme circadian yang sehat menjadi kunci penting dalam meningkatkan performa belajar mahasiswa. Penelitian ini bertujuan untuk mengkaji pengaruh ritme circadian terhadap performa belajar mahasiswa dengan menggunakan algoritma C4.5. Dengan sampel sebanyak 163 mahasiswa dari populasi sejumlah 295 mahasiswa. Sampel dibagi menjadi data training dan data testing menggunakan teknik linear sampling. Hasil dari perhitungan menggunakan algoritma C4.5 menunjukkan tingkat accuracy sebesar 81.81%, precision sebesar 96.29%, dan recall sebesar 83.87%. Hasil decision tree menunjukan adanya hubungan antara ritme circadian dengan performa belajar mereka, semakin sering mahasiswa bergadang akan mempengaruhi pencapaian akademik mereka.
Sentiment Analysis Of Indosat's Mobile Operator Services On Twitter Using The Naïve Bayes Algorithm Butsianto, Sufajar; Fauziah, Sifa; Naya, Candra; Maulana, Futuh
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4084

Abstract

Twitter is a social media that allows users to share information with others in real time. Information that is shared on Twitter is usually referred to as a tweet. Sentiment analysis is a branch of research in the text mining domain where the process of identifying and extracting sentiment data will usually be categorized based on its polarity, whether it is positive, negative or neutral. We can process data from opinions on Twitter using data mining techniques, namely classification. The algorithm that will be used in this research is the Naïve Bayes Algorithm. This research will also use the RStudio application. It is a computer programming language that allows users to program algorithms and use tools that have been developed through R by other users. R is a high-level programming language and is also an environment for data and graph analysis. Based on the experimental results, using a comparison of training data and test data of 20%: 80%, 40%: 60%, 60%: 40%, 80%: 20% and 90%:10%, the results of sentiment classification using the Naïve Bayes method are obtained. and using 10-fold cross validation obtained an average value of 85.00% accuracy and The decrease in machine learning performance occurs in the ratio of 80:20 or 1440 training data: 360 data testing, while the ratio of 20%:80% and 90%:10% has the same accuracy value, namely 85.41%.
Analisis Pemanfaatan Software Accurate Versi 4 Dalam Menghasilkan Laporan Keuangan Menggunakan Metode PIECES Fauziah, Sifa; Apriana, Veti; Erzab, Anggi Okliata
JAIS - Journal of Accounting Information System Vol. 4 No. 2 (2024): Desember
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jais.v4i2.7459

Abstract

Menghadapi kondisi persaingan yang semakin ketat, perusahaan dituntut untuk menjalankan operasionalnya secara lebih efektif dan efisien. Tingginya tingkat persaingan, disertai dengan perkembangan perekonomian dan kemajuan teknologi sistem informasi, memiliki peran yang sangat penting dalam mendukung kemajuan perusahaan namun, PT. Target Makmur Sentosa masih menghadapi kendala karena belum memanfaatkan sistem informasi secara optimal. Hal ini sering menyebabkan kekeliruan dalam proses pencatatan dan penghitungan transaksi dan laporan keuangan, yang berdampak pada hasil yang kurang akurat. Selain itu, waktu yang diperlukan untuk menyusun laporan keuangan menjadi kurang efisien, sehingga menimbulkan kesulitan dalam penyajian laporan neraca secara tepat waktu. Penelitian ini bertujuan untuk menganalisis pemanfaatan penerapan software Accurate Versi 4 di PT. Target Makmur Sentosa dalam penyusunan laporan keuangan agar proses pengolahan data menjadi lebih efisien, andal, relevan serta presisi sesuai dengan standar akuntansi yang berlaku. Penelitian ini menggunakan metode analisis PIECES dan untuk data penelitian dikumpulkan melalui pendekatan metode kualitatif, dengan cara observasi, wawancara, dan studi literatur Hasil analisis penelitian menunjukkan bahwa penerapan Accurate mampu meningkatkan akurasi, efisiensi, dan relevansi laporan keuangan, serta mengurangi kesalahan manual yang sering terjadi pada metode konvensional. Selain itu, software Accurate memastikan laporan yang dihasilkan sesuai dengan standar akuntansi yang berlaku, sehingga perusahaan dapat memenuhi kewajiban pelaporan keuangan secara efisien, presisi, dan andal.
LAN Bandwidth Management Using the Queue Tree Method Safinatunnaza, Salwa; Noviriandini, Astrid; Indriyani, Luthfi; Fauziah, Sifa
Golden Ratio of Data in Summary Vol. 5 No. 1 (2025): November - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v5i1.887

Abstract

The advancement of technology, particularly in computer networks, has enabled global connectivity through the Internet. Computer networks connecting various devices allow for information sharing and communication. One common issue is slow internet speed due to suboptimal bandwidth utilization. To address this issue, bandwidth management becomes crucial, especially in managing multiple applications at PT. XYZ, bandwidth management is implemented using a Mikrotik router using the Queue Tree method. This method allows for flexible and fair bandwidth allocation, ensuring every device has a stable internet connection. This method helps enhance efficiency and ensures bandwidth allocation is aligned with user needs, resulting in smooth and evenly distributed connectivity across the network.
PENINGKATAN PENGETAHUAN ORANGTUA TENTANG KESEHATAN MENTAL REMAJA MELALUI PENDIDIKAN KESEHATAN DI WILAYAH KERJA PUSKESMAS CIANJUR KOTA Hartati, Sri; Fauziah, Sifa; Qurrotu’aini, Hasna Aqilla; Nurhayati, Evi
INCIDENTAL : Journal Of Community Service and Empowerment Vol 1 No 02 (2022): INCIDENTAL : Journal Of Community Service and Empowerment
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/incidental.v1i02.453

Abstract

Adolescent health problems, in addition to physical impacts, can also affect mental health, emotional, economic and social well-being. Mental health problems are as important as physical health problems. Psychiatric changes during adolescence include emotional changes, and intelligence development. Community Service with the title Increasing Parents' Knowledge of Adolescent Mental Health through Health Education in the Cianjur City Health Center Working Area. This Community Service (PkM) activity was carried out in the Cianjur City Health Center Working Area. The method used in this community service activity is health education. The final results of this activity show an increase in results from the pre test to the post test, this is because families have been given knowledge about mental health in adolescents.
Customer Loyalty Classification With Random Forest Algorithm Sari, Anggi Puspita; Noviriandini, Astrid; Fauziah, Sifa
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.393

Abstract

Customer loyalty is very important for the survival of the company. Because with customers who have customer loyalty, they will make purchases regularly. Customer loyalty needs to be maintained to increase profits. The method is to classify loyal customers with non-loyal ones, in order to retain loyal customers and set strategies for non-loyal customers. The method used is classification with random forest with cleaning stages that can clean data from noise or empty data or data that does not match, selection that can select some data to be processed for classification, transformation that can change data into two or three formats, classification with random forest with split validation using testing data and training data and with rapidminer software. Evaluation by checking the results of the classification with random forest in the form of accuracy, precision, recall, and AUC. The results of the classification show from the accuracy table that the prediction of loyal and true loyal customers is 129 more than the prediction of not loyal and true not loyal customers which is 32. The accuracy result is 96.41% which shows that the data is really accurate with very high results. The recall result is 98.47%, while the precision result is 96.99%.
ANALISIS FAKTOR PENGHAMBAT KETERAMPILAN MEMBACA PADA SISWA KELAS RENDAH DI MI UMDATUR RASIKHIEN JAKARTA Atikah, Siti; Asiyah, Siti; Ningsih, Septi Setya; Malikah, Siti Afriatul; Fauziah, Sifa; Khoirunnisa, Siti
Jurnal Ilmiah Pendidikan dan Keislaman Vol. 5 No. 1 (2025): Jurnal Ilmiah Pendidikan dan Keislaman
Publisher : STAI Darul Qalam Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55883/jipkis.v5i1.152

Abstract

This research was conducted at MI Umdatur Rasikhien Jakarta. The problems identified in this study are the inhibiting factors of reading skills in lower grade students. This study aims to describe: (1) To determine the reading skills of lower grade students at MI Umdatur Rasikhien Jakarta, (2) To determine the inhibiting factors of reading skills in lower grade students at MI Umdatur Rasikhien Jakarta, (3) To determine the methods used to improve reading skills in lower grade students at MI Umdatur Rasikhien Jakarta. This study uses a qualitative approach with a descriptive type of research. The subjects in this study were the principal, lower grade teachers, and lower grade students at MI Umdatur Rasikhien Jakarta. Data collection was carried out through observation, interviews and documentation. Data analysis used three stages consisting of data reduction, data presentation, and drawing conclusions. Data examination or checking was carried out by triangulation of data sources and triangulation of techniques. The results of the study showed that reading skills in lower grade students still have errors, namely: (1) Errors in recognizing letters, (2) Understanding vocabulary, (3) Difficulty in reading words or lip movements when reading, (4) Reading by spelling, (5) Understanding one letter at a time, (6) Reversing words and reading too fast so that words are overtaken when reading. The factors that influence reading skills in lower grade students include physiological, psychological, and environmental factors. The way to improve reading skills in lower grade students is to foster a love of reading by providing learning reading materials such as textbooks, reading texts, and getting used to reading regularly by giving students the opportunity to learn to move forward, teachers give students time to read one to three lines of reading, and use teaching aids to teach children who cannot or do not understand letters or reading.
Customer Loyalty Classification With Random Forest Algorithm Sari, Anggi Puspita; Noviriandini, Astrid; Fauziah, Sifa
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.393

Abstract

Customer loyalty is very important for the survival of the company. Because with customers who have customer loyalty, they will make purchases regularly. Customer loyalty needs to be maintained to increase profits. The method is to classify loyal customers with non-loyal ones, in order to retain loyal customers and set strategies for non-loyal customers. The method used is classification with random forest with cleaning stages that can clean data from noise or empty data or data that does not match, selection that can select some data to be processed for classification, transformation that can change data into two or three formats, classification with random forest with split validation using testing data and training data and with rapidminer software. Evaluation by checking the results of the classification with random forest in the form of accuracy, precision, recall, and AUC. The results of the classification show from the accuracy table that the prediction of loyal and true loyal customers is 129 more than the prediction of not loyal and true not loyal customers which is 32. The accuracy result is 96.41% which shows that the data is really accurate with very high results. The recall result is 98.47%, while the precision result is 96.99%.
RANCANG BANGUN SISTEM INFORMASI PEMBAYARAN PADA JVET ANIMAL CLINIC Fauziah, Sifa; Oktafianus, Edwin; Khoirudin, Ahmad
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 6 No. 1 (2020)
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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

Abstract

Klinik hewan merupakan suatu sarana bagi para pemilik hewan untuk memeriksakan hewannya ketika sakit, mendapatkan perawatan rutin, maupun sebagai tempat penitipan. Segala pelayanan yang dilakukan pada JVET Animal Clinic dicatat kedalam buku. Dengan banyaknya penggunaan kertas sebagai media pencatatan pembayaran menyebabkan banyak dokumen lama yang bertumpuk sehingga menjadi tidak efisien dan efektif tempat. Untuk mencari dokumen yang dimaksudkan pun harus mencari satu persatu menurut urutan abjad dan hal itu tentu membutuhkan waktu dan tenaga yang tidak sedikit. Selain itu JVET Animal Clinic membutuhkan waktu yang lama untuk menyajikan laporan pembayaran untuk diserahkan kepada pemilik JVET Animal Clinic. Oleh karena itu penulis melakukan rancang bangun untuk mempermudah pengelolaan data hewan di JVET Animal Clinic dan sistem informasi pembayaran yang terkomputerisasi dengan menggunakan Java netbeans sebagai bahasa pemrograman serta MySql sebagai media penyimpanan. Dalam mengumpulkan data atau informasi untuk melakukan rancang bangun di JVET Animal Clinic ini menggunakan beberapa metode yaitu metode wawancara serta metode pengembangan perangkat lunak menggunakan metode Waterfall
Edukasi ASI Eksklusif Pada Ibu Menyusui di TPMB Tri Handayani Desa Sukamakmur Tahun 2025 Nurfitria Tsani, Nia; Fathur Rohmah, Hajar Nur; Handayani, Tri; Widianingsih, Euis; Lestari, Rika; Sahati, Sahati; Fauziah, Sifa
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 3 (2025): Edisi Juli - September
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i3.6453

Abstract

Berdasarkan peraturan pemerintah Nomor 33 Tahun 2012, ASI Eksklusif yakni Air Susu Ibu yang diberikan pada bayi sejak dilahirkan sampai usia 6 bulan, tanpa menambahkan atau mengganti dengan makanan atau minuman lain selain ASI (kecuali obat, vitamin dan mineral). (Profil Kesehatan Jawa Barat, 2023) Berdasarkan data UNICEF (United Nation International Childrens Emergency Found) hanya 3% ibu yang memberikan ASI ekslusif sampai usia 6 bulan (WHO, 2023). Menurut (Kemenkes, 2021), Cakupan ASI Eksklusif Indonesia dinegara ASEAN sebesar 54,3% dan Cakupan ASI eksklusif di Indonesia tahun 2022 sebesar 61,5% masih jauh dari target 65% (Profil Kesehatan Indonesia, 2022) . Studi pendahuluan diawali dengan pengumpulan data diambil dari 20 responden ibu menyusui diwilayah TPMB Tri Handayani Desa Sukamakmur Kec. Sukakarya Kab. Bekasi didapatkan hanya 6 ibu dari 20 ibu yang memberikan ASI Eksklusif untuk bayinya. Tujuan dari kegiatan penyuluhan ini adalah untuk meningkatkan pengetahuan/pemahaman mengenai ASI Eksklusif. Dengan sasaran ibu menyusui di wilayah TPMB Tri Handayani, dengan jumlah peserta sebanyak 20 orang. Metode pelaksanaan dilakukan dengan penilaian awal pengetahuan (pretest), penyuluhan dan penilaian akhir (postest) dan media penyuluhan dengan slide presentasi dan leaflet. Ringkasan hasil kegiatan yang dicapai adalah nilai rata-rata hasil pre-test 42,5 dan nilai rata-rata hasil post-test 88,5 terdapat peningkatan pengetahuan setelah diberikan penyuluhan.
Co-Authors Alfarisa, Fitri Andira, Dilla Aprilia Apandi, Yunita Anhar Arfan, Ibnu Soffi Arwan Sulaeman, Asep Aryanti, Nita Eka Astrid Noviriandini Atthoriq, Syaifullah Balqis, Ummi Malikal Bestari, Titen Blackhurst, Alcívar Butsianto, Sufajar Colicchia, Cagno Stone Dety Mulyanti Elysa, Ratianarimamy Niriko Erawati, Wati Erzab, Anggi Okliata Farida Yuliaty Fathur Rohmah, Hajar Nur Fitra, Ridho Yusuf Hananda Priyandaru Hartono, Rudi Hasna, Nisrina Herli Antoni Ibnu Imam Al Ayyubi ILHAM FAUZI Jonhariono Sihotang Juanuari Julia Pratiwi Kadarisman, Sumeidi Kamiludin, Udin Khoirudin, Ahmad Kurniawan, Abas Laia, Anita Luthfi Indriyani Malikah, Siti Afriatul malikal, ummi Masyairna, Ina Maulana, Donny Maulana, Futuh mulyani, sri rochani Mutawali Nahria, Syarifatun Nasution, Nana Suryana Nawangsih, Ismasari Naya, Candra Ningsih, Septi Setya Nurfitria Tsani, Nia Nurhayati, Evi Nurhikmah Nursida, Iim Oktafianus, Edwin Patimah, Papat Pebriati, Febby Prabowo, Arga Satrio Pratama, Dewi Yulianti Prayetno, Eko Puspasari , Aprilia Puspasari, Aprilia Qurrotu’aini, Hasna Aqilla Rika Lestari Safinatunnaza, Salwa Sahati, Sahati Sari, Anggi Puspita Sefrika, Sefrika Sikki, Nurhaeni Simanjuntak, Herlina Siti Aisyah Siti Asiyah Siti Atikah Siti Khoirunnisa, Siti Siti Risma, N Siti Sarah, Siti Sitorus, Ester Soejarminto, Yos Soer, U Darmanto Soer, U. Darmanto Soer, Ucok Darmanto Sri Hartati Sri Muryani, Sri Suantha, Kasan K. Susi Susanti Sutrisno, Sutrisno Syafrizal, Asnita Putri Syamsul Azis, Mohammad Tarsinah, Tarsinah Tato Nuryanto, Tato Tiurlina Tiurlina Tri Handayani Triwibowo, Edi Tsani, Nia Nurfitria Umaiyah, Siti Uswatun Hasanah Veti Apriana, Veti Vip Paramarta Wahyu Hadikristanto Wibowo, Bangun Yoga Widianingsih, Euis Widiyasari, Siska Yansyah, Hamdi Yudho, Firdaus Hendry Prabowo Yuliandra, Rizki Yusipa, Rica Yustiani, Revita