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All Journal E-SOSPOL Journal of Economic, Bussines and Accounting (COSTING) JURIKOM (Jurnal Riset Komputer) BioEksakta : Jurnal Ilmiah Biologi Unsoed Jurnal Kesehatan Pasak Bumi Kalimantan JURNAL RECTUM: Tinjauan Yuridis Penanganan Tindak Pidana Jurnal Inovasi Pembangunan Uniplan: Journal of Urban and Regional Planning INCOME: Indonesian Journal of Community Service and Engagement Journal of Artificial Intelligence and Digital Business E-JRM Islamic Economics and Business Review (IESBIR) Jurnal Ilmu Sosial, Humaniora dan Seni Journal of Contemporary Administration and Management (ADMAN) JP2N: Jurnal Pengembangan Dan Pengabdian Nusantara Mushawwir: Jurnal Manajemen Dakwah dan Filantropi Islam
Haliza, Siti Nur
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Analysis of Public Sentiment Towards Tax Increases Impacting Unemployment Using SVM and Multinomial Naive Bayes Methods Haliza, Siti Nur; Sitorus, Zulham; Muhammad Iqbal
JURIKOM (Jurnal Riset Komputer) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8922

Abstract

Tax increase policies often generate pros and cons among the public, especially when perceived as having an impact on increasing unemployment. This study aims to analyze public sentiment regarding the issue of tax increases impacting unemployment by utilizing Machine Learning classification methods, namely Support Vector Machine (SVM) and Multinomial Naive Bayes (MNB). The data used comes from social media platform X in the form of public opinions collected online and then categorized into three sentiments: positive, negative, and neutral, with a total of 1,000 sentiment data points. The analysis process included text preprocessing, feature extraction with TF-IDF, and classification using both methods. In the Test and Score algorithm, the SVM algorithm produced an AUC of 0.660, CA of 0.694, F1 of 0.569, and Recall of 0.694, while the MNB algorithm produced an AUC of 0.586, CA of 0.198, F1 of 0.105, and Recall of 0.198. The study concluded that Support Vector Machines (SVMs) had a higher level of accuracy than Multinominal Naïve Bayes in classifying public sentiment. The majority of public opinion tended to be negative, indicating concern about the impact of tax increases on the workforce. These findings provide important insights for policymakers to consider public perception when establishing future fiscal policy.
Pengaruh Pelatihan dan Pengembangan SDM terhadap Kinerja Karyawan J&T Express Haliza, Siti Nur; Safaat, Safaat; Sari, Evi Thelia; Manafe, Leonard Ardie
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2701

Abstract

The purpose of this research is to examine how employee performance at J&T Express Tambaksari District is influenced by training and human resource (HR) development. The quality of human resources (HR) has emerged as an important component in achieving organizational goals in the era of globalization and increasing corporate competition. The population of this study, which uses a quantitative approach, consists of 42 employees of J&T Express. Saturated sampling is the sampling method used. An online survey was used to collect data, and multiple linear regression was used for analysis. The study's findings indicate that although human resource development significantly improves employee performance, training does not have a recognizable effect on it. Moreover, employee performance has a positive impact when training and human resource development are conducted simultaneously. These findings are expected to provide insights for J&T Express management in designing more effective training and development programs to improve employee performance and the company's competitiveness.
REPRESENTASI KERUKUNAN UMAT BERAGAMA: STUDI MASJID NURUL MU'MININ PEMERINTAH PROVINSI KALIMANTAN TIMUR Haliza, Siti Nur; Amirullah, Amirullah; Agustin, Riska Dwi
Mushawwir Jurnal Manajemen Dakwah dan Filantropi Islam Vol 3 No 2 (2025): Mushawwir Jurnal Manajemen Dakwah dan Filantropi Islam
Publisher : Fakultas Ushuluddin, Adab, dan Dakwah UIN Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/mushawwir.v3i2.11246

Abstract

Penelitianinimenunjukkanbahwarepresentasikerukunanumatberagama pada masjid Nurul Mu’minininidapatdiwujudkanmelaluiSimbolkerukunanumatberagama dan penguatmaknadalamkesatuansepertihalnyasalingmembantu, dan salingmenolongsatusama lain tanpaharusmemandangsukuapamaupun agama apa. DalamMewujudkanKerukunanUmatBeragamainiadaberbagaicara yang harusdilakukanyakni, Masjid Nurul Mu’mininbisamenjaditempatberbagicerita dan juga tempatTalkshow. Pada hariraya Natal berlangsung, Irma Masjid MembantuUmatKatolik dan Umat Kristen untukmenertibkan Lalu lintasParkir. Faktorpendukung pada Masjid Nurul Mu’mininadalahLurahkelurahanJawamengungkapkanbahwa Sebagian besarmasyarakat sangat mendukungrencanapembangunan Masjid Nurul Mu’minin, sehinggadapatmembantuuntuk ibadah sholatsekitar. Faktorpenghambatis RekiMasjid Nurul Mu’mininadalahkurangnyasumberdayamanusiadalam Pembangunan Masjid Nurul Mu’minin. This study shows that the representation of religious harmony in the Nurul Mu’minin mosque can be realized through the symbol of religious harmony and strengthening the meaning in uity such as helping each other witout have to look at what tribe or religion in Realizing this Religious Harmony therearevarious ways that must be done, namely, the Nurul Mu’minin Mosque can be a oplace to share stories and also a place for talkshow. On Christmats Day, Mosque YouthAssociation Helps Catolics and Christians to regulate parking Traffic Supporting factors at the Nurul Mu’minin Mosque are the Head of Jawa sub-district revealed the most of community is very supporting of the plan to build the NrulMu’minin Mosque are the lack of human resources, and the lack the construction of the Nurul Mu’minin Mosque.
Analysis of Public Sentiment Towards Tax Increases Impacting Unemployment Using SVM and Multinomial Naive Bayes Methods Haliza, Siti Nur; Sitorus, Zulham; Muhammad Iqbal
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8922

Abstract

Tax increase policies often generate pros and cons among the public, especially when perceived as having an impact on increasing unemployment. This study aims to analyze public sentiment regarding the issue of tax increases impacting unemployment by utilizing Machine Learning classification methods, namely Support Vector Machine (SVM) and Multinomial Naive Bayes (MNB). The data used comes from social media platform X in the form of public opinions collected online and then categorized into three sentiments: positive, negative, and neutral, with a total of 1,000 sentiment data points. The analysis process included text preprocessing, feature extraction with TF-IDF, and classification using both methods. In the Test and Score algorithm, the SVM algorithm produced an AUC of 0.660, CA of 0.694, F1 of 0.569, and Recall of 0.694, while the MNB algorithm produced an AUC of 0.586, CA of 0.198, F1 of 0.105, and Recall of 0.198. The study concluded that Support Vector Machines (SVMs) had a higher level of accuracy than Multinominal Naïve Bayes in classifying public sentiment. The majority of public opinion tended to be negative, indicating concern about the impact of tax increases on the workforce. These findings provide important insights for policymakers to consider public perception when establishing future fiscal policy.
5 FUNGSI KOMUNIKASI EFEKTIF DALAM PENYALURAN DANA BANTUAN SUBSIDI UPAH ( BSU ) Kusumadinata, Ali Alamasyah; Maulida, Putriani; Sanita; Septiana, Siti Dwi; Haliza, Siti Nur; Fadilah, Vhiona Rizkia; Aulia, Anna Nur
JP2N : Jurnal Pengembangan Dan Pengabdian Nusantara Vol. 3 No. 1 (2025): JP2N: September- Desember 2025
Publisher : Yayasan Pengembangan Dan Pemberdayaan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62180/0g4ftn81

Abstract

Program Bantuan Subsidi Upah (BSU) menjadi salah satu langkah pemerintah untuk membantu kesejahteraan pekerja di tengah tantangan ekonomi. Keberhasilan program ini sangat bergantung pada efektivitas komunikasi antara pihak pemerintah, lembaga penyalur, dan masyarakat penerima bantuan. Penelitian ini bertujuan untuk mengidentifikasi serta menjelaskan lima fungsi utama komunikasi efektif dala proses penyaluran dana BSU, meliputi fungsi Koordinasi,pendampingan, efisiensi,trust (kepercayaan masyarakat), dan administrasi. Metode yang digunakan adalah deskriptif kualitatif melalui teknik observasi, wawancara, dan dokumentasi yang dilaksanakan di Bank BJB Syariah Cabang Bogor. Hasil penelitian memperlihatkan bahwa komunikasi yang efektif mampu memperlancar verifikasi data, meminimalkan kendala administrasi, dan meningkatkan pemahaman masyarakat terhadap prosedur penyaluran. Fungsi informatif dan regulatif mempermudah penyampaian aturan, fungsi persuasif dan integratif memperkuat hubungan dan kepercayaan antara pihak terkait, sedangkan fungsi kontrol memastikan pelaksanaan program tetap transparan dan sesuai ketentuan. Secara keseluruhan, penerapan lima fungsi komunikasi efektif dapat memperkuat koordinasi, meningkatkan akuntabilitas, serta menciptakan pelayanan publik yang lebih terbuka dan berorientasi pada kepuasan masyarakat.
Upaya Guru dalam Meningkatkan Kedisiplinan Shalat Berjamaah pada Murid Kelas V Madrasah Ibtidaiyah Al-Hikmah Kaif, Sitti Hermayanti; Fajrianti, Fajrianti; Haswan, Haswan; Satar, Iqram; Haliza, Siti Nur
INCOME: Indonesian Journal of Community Service and Engagement Vol 4 No 4 (2025)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/income.v4i4.1766

Abstract

Prayer serves as a fortress to protect humans, especially Muslims, from vile and sinful acts. Congregational prayer is a prayer performed together by at least two or more people with an imam and a congregation. There are many benefits of congregational prayer, including gaining rewards twenty-seven degrees compared to praying alone. Congregational prayer can protect a Muslim from neglecting, neglecting, or forgetting prayer and prevent him from praying at the end of the prayer time. The law of congregational prayer is Sunnah muakad which is a Sunnah that is highly recommended for Muslims, and some scholars say that the law of congregational prayer is fardhu kifayah. This PKM activity aims as an effort by teachers to improve discipline in congregational prayer among fifth grade students of Madrasah Ibtidaiyah Al-Hikmah. Activities carried out starting from socialization activities, implementation of teaching materials (practical prayer procedures), and evaluation. The implementation of the activity has a positive impact on partners, this is indicated by an increase in discipline in carrying out congregational prayer. Mitra (fifth-grade students at Al-Hikma Elementary School) have been able to perform prayers independently and perform congregational prayers, namely the Dhuha prayer. Students' memorization of short surahs has increased with the increasing number of surahs memorized. Positive results were also seen in activities carried out at Al-Hikma Elementary School, where 83% (15 students) have been disciplined in performing congregational prayers, the number of short surahs memorized has increased, and they have been routinely performing the Dhuha prayer and the Yasin prayer on Fridays. The remaining 17% (3 students) have a fairly good understanding. The results of the practicum carried out by the students independently also indicate that they are able to perform ablution, perform prayers, and recite short surahs well.Keywords: Discipline; Congregational Prayer.
Implementation of Ginger Tea in Reducing Dysmenorrhea in Nursing Students at the Faculty of Medicine, Mulawarman University Haliza, Siti Nur; Ramadhani, Siti; Rahayu, Anik Puji; Simarmata, Pratiwi Christa
Jurnal Kesehatan Pasak Bumi Kalimantan Vol 9, No 1 (2026): JKPBK Juni 2026
Publisher : Fakultas Kedokteran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/j.kes.pasmi.kal.v9i1.20742

Abstract

Introduction: Dysmenorrhea, or painful menstruation, is common and can interfere with women's activities. Although painkillers are often used to treat it, they have side effects (Harel, 2006, as cited in Rahayu & Nujulah, 2018). Ginger contains active compounds, such as gingerol and shogaol, that have anti-inflammatory and analgesic properties (Kashefi et al., 2014). The purpose of this study is to determine the effectiveness of ginger tea in reducing the intensity of dysmenorrhea in six nursing students. Methods: The study used a descriptive method with a case study approach. The sample consisted of six nursing students who experienced dysmenorrhea. The intervention was administered during the first three days of menstruation. Pain levels were measured using a Numeric Rating Scale (NRS) before and after the intervention. Results: The results showed a decrease in pain levels after the intervention. On a scale of 0 (no pain) to 10 (extreme pain), the average dysmenorrhea pain level reported by the students before the intervention was between 4 and 8. Conclusion: Providing ginger boiled water proved effective in reducing dysmenorrhea in students. This is due to ginger's gingerol content, which acts as a natural anti-inflammatory and analgesic agent. It can accelerate the healing process of wounds in the uterus caused by the shedding of the uterine wall during menstruationKeywords:  Dysmenorrhea, Ginger, Menstruation, Pain
Co-Authors Amanda, Dhea Amirullah -, Amirullah Anggalana Anwar, Sepiana Arinil Haqqoh, Arinil Aulia, Anna Nur Bastomi, Mohamad Evi Thelia Sari Fadilah, Vhiona Rizkia Fajrianti Fajrianti Fitri Yetti Handayati, Ratna Haswan, Haswan Inur Tivani, Inur Isna Fitria Agustina Kumalasari, Endah Nur Kusumadinata, Ali Alamasyah Leonard Adrie Manafe Marlina Marlina Maskuri Sutomo Maulida, Putriani Muhammad Iqbal Pratiwi Christa Simarmata Rahayu, Anik Puji Ramadhan, Irsyadi Ramadhani, Siti Riska Dwi Agustin Rohman, Hermanto Rosida P. Adam Safaat, Safaat Sanita Saputra, Yangga Satar, Iqram Septiana, Siti Dwi Siti Asiyah Sitorus, Zulham Sitti Hermayanti Kaif Tambaru, Rachman Tree Setiawan Pamungkas, Tree Setiawan Zabrina, Tacika Nur