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PENGARUH SISTEM PEMUNGUTAN PAJAK, PELAYANAN FISKUS DAN EFEKTIFITAS SISTEM PERPAJAKAN TERHADAP KEPATUHAN WAJIB PAJAK DENGAN LAYANAN DRIVE THRU SEBAGAI VARIABEL MODERATING Nisa, Indah Chairun; Suwandi, Memen; Juardi, Muhammad Sapril Sardi
JURNAL AKUNTANSI DAN INVESTASI Vol 3, No 1 (2018): AKTIVA
Publisher : Fakultas Ekonomi, Program Studi Akuntansi

This study aims to examine the effect of tax collection system, tax service and tax system effectiveness on Taxpayer compliance with Drive Thru service. Taxes are dues that can be imposed without lead services or without direct rewards. Lack of compliance of the Taxpayer becomes the background of this research. This research is a quantitative research with associative approach. The data used in the study is the primary data collected through the division of questionnaires directly. Data analysis used multiple linear regression analysis and moderating regression analysis with Moderated Regression Analysis (MRA). The result of multiple linear regression analysis shows that tax collection system and fiscal service have a positive effect on taxpayer compliance. While the effectiveness of the tax system negatively affect the compliance of Taxpayers. Analysis of moderating variables with Moderated Regression Analysis (MRA) indicates that the Drive Thru service moderates the tax collection system and the effectiveness of the tax system on taxpayer compliance. But the fiscal services are not able to moderate the compliance of the Taxpayer.

The COVID-19 Pandemic, Social Media Culture, and Public Education Indah Chairun Nisa
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol 10, No 1 (2022): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Liter
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v10i1.2369

The purpose of this study is to examine the public education of COVID-19 through the use of social and cultural media. Additionally, this research examines how the media affects the community and the role of mass media communication in raising knowledge about COVID19 prevention and preventative measures. This study employs a qualitative method by adopting a virtual ethnographic approach, which refers to ethnographic research regarding the internet and social media conducted in online settings. The findings indicate that Indonesian social media culture can serve as a teacher by educating the public and stimulating interest in the latest research on COVID-19; by directing people to their websites and landing pages for information on the latest and most trusted COVID-19; by marketing innovative services such as health care social funding; and by posting case information, photos, and results (with permission) relating to COVID-19.

Modular Irregular Labeling On Complete Graphs Indah Chairun Nisa; Nurdin Nurdin; Hasmawati Basir
Daya Matematis: Jurnal Inovasi Pendidikan Matematika Vol 10, No 3 (2022): Desember
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jdm.v10i3.37426

Let G be a simple graph of n order. An edge labeling such that the weights of all vertex are different and elements of the set modulo n, are called a modular irregular labeling. The modular irregularity strength of G is a minimum positive integer k such that G have a modular irregular labeling. If the modular irregularity strength is none, then we called the modular irregularity strength of G is infinity. In this article, we determine the modular irregularity strength of complete graphs.

The COVID-19 Pandemic, Social Media Culture, and Public Education Indah Chairun Nisa
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 10 No. 1 (2022): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v10i1.2369

The purpose of this study is to examine the public education of COVID-19 through the use of social and cultural media. Additionally, this research examines how the media affects the community and the role of mass media communication in raising knowledge about COVID19 prevention and preventative measures. This study employs a qualitative method by adopting a virtual ethnographic approach, which refers to ethnographic research regarding the internet and social media conducted in online settings. The findings indicate that Indonesian social media culture can serve as a teacher by educating the public and stimulating interest in the latest research on COVID-19; by directing people to their websites and landing pages for information on the latest and most trusted COVID-19; by marketing innovative services such as health care social funding; and by posting case information, photos, and results (with permission) relating to COVID-19.

A C3 Magic Decomposition on Friendship Graph with Odd Order Nisa, Indah Chairun; Pancahayani, Sigit; Soemarsono, Annisa Rahmita
Jurnal ILMU DASAR Vol 23 No 1 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i1.23266

Let G = (V,E) is graph with a non-empty set V containing vertices and a set of edges E. Also note that if H = {H_i⊆G_i = 1,2,3,...,n} is a collection of subgraphs from G with H_i≅Hj,i ≠ j. If Hi ∩ Hj = ∅ and ⋃n(i-1)Hi = G, then graph G admits a decomposition H. Furthermore, if there are f(v) and g(e) which are vertices and edges labeling at G, the total weight of each subgraph H_i,i = 1,2,3,…,n has the same value, namely ∑_(v∈V(H_i))▒〖f(v)〗+∑_(e∈E(H_i))▒〖g(e)〗= w, then the graph G contains the magic H_i decomposition with w as the magic constant. This research shows that the friendship graph F_n with n = 2k + 1 for k∈N admits a magic -(a,d)-C_3 decomposition with a magic constant w of 29dk + 6a + 15d.

PENERAPAN ALGORITMA K-MEANS DALAM PENGKATEGORIAN INSOMNIA Chairun Nisa, Indah
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp117-122

Complaints of sleep disorders or insomnia are usually typified by trouble falling asleep and staying asleep, unwillingness to go back to sleep after waking, and sleep that is poor in quantity and quality. When sleep is of a high caliber, the body’s metabolism will be balanced, and vice versa. The state of the body will be affected if the sleep is of low quality, as well as affecting human emotions and the body's metabolic system. Several factors are considered to cause insomnia, including female gender, age, marital status, income, and education level. Due to the numerous variables that may considered as causes of insomnia, it is necessary to group categories in determining whether insomnia is categorized or not using a klastering technique, namely the K-Means Method. By using the K-Means method, it was found that based on the 452 data used, the result was that there were 204 data, or 45.13% belonging to the Insomnia klaster and 248 data or 54.87% belonging to the Not Insomnia klaster.

Technological Innovation in Arabic Language Education as a Tool for Community Empowerment Toward Social, Economic, and Environmental Sustainability Mahdir Muhammad; Indah Chairun Nisa; Rizki Julia Utama
JKA Vol. 2 No. 2 (2025): JKA
Publisher : Bansigom Na Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/ztrw2g22

This paper examines the transformative role of technological innovation in Arabic language education as a strategic means of community empowerment. It investigates how integrating educational technologies within Arabic teaching contributes to broader sustainable development goals (SDGs), particularly in fostering social inclusion, economic opportunity, and environmental consciousness. Employing a qualitative literature-based methodology, the study synthesizes recent advancements in mobile learning, AI-assisted platforms, and paperless educational tools. Findings suggest that when adapted with cultural sensitivity and sustainability objectives, Arabic language technologies can drive inclusive development and support marginalized communities. Recommendations are offered for educators, policymakers, and developers aiming to enhance the impact of Arabic language education in the digital age.

PENERAPAN ALGORITMA K-MEANS DALAM PENGKATEGORIAN INSOMNIA Chairun Nisa, Indah
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp117-122

Complaints of sleep disorders or insomnia are usually typified by trouble falling asleep and staying asleep, unwillingness to go back to sleep after waking, and sleep that is poor in quantity and quality. When sleep is of a high caliber, the body’s metabolism will be balanced, and vice versa. The state of the body will be affected if the sleep is of low quality, as well as affecting human emotions and the body's metabolic system. Several factors are considered to cause insomnia, including female gender, age, marital status, income, and education level. Due to the numerous variables that may considered as causes of insomnia, it is necessary to group categories in determining whether insomnia is categorized or not using a klastering technique, namely the K-Means Method. By using the K-Means method, it was found that based on the 452 data used, the result was that there were 204 data, or 45.13% belonging to the Insomnia klaster and 248 data or 54.87% belonging to the Not Insomnia klaster.

Perbandingan Algoritma Regresi Logistik, Support Vector Machine, dan Gradient Boosting Pada Analisis Sentimen Data Komentar Siswa Muntiari, Novita Ranti; Kharis Hudaiby Hanif; Indah Chairun Nisa
Jurnal IT UHB Vol 4 No 2 (2023): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v4i2.1286

Evaluasi pengajaran dilakukan menggunakan aplikasi Digital Teacher Assessment (DITA) belum melibatkan klasifikasi pengelompokkan. Data komentar yang terkumpul dikelompokkan menjadi tiga kategori yaitu komentar positif, negatif, dan netral. Berdasarkan kategori komentar membutuhkan analisis sentimen dalam mengelompokkan komentar tersebut. Analisis sentimen menggunakan lexicon based. Selanjutnya data komentar tersebut diberi bobot menggunakan TF-IDF sebelum diklasifikasikan dan dievaluasi. Dalam penelitian ini menggunakan algoritma regresi logistik, support vector machine (SVM), dan gradient boosting. Hasil penelitian menunjukkan perbandingan akurasi dari algoritma regresi logistik, support vector machine (SVM), dan gradient boosting dengan algoritma gradient boosting memiliki tingkat akurasi yang paling tinggi yaitu 97,5%. Dari hasil penelitian dapat disimpulkan bahwa algoritma gradient boosting memiliki tingkat akurasi lebih baik dalam mengklasifikasi data analisis sentimen komentar siswa.

Empathy Gap in Social Media Comments for Sexual Harassment Victim Lubis, Khairunnisya; Nisa, Indah Chairun; Dalimunthe, Pidiatun Dinia; Perangin-angin, Alemina Br.
Tradition and Modernity of Humanity Vol. 2 No. 1 (2022): January
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/tmh.v2i1.8510

Indonesian Twitter users who filed a complaint about sexual harassment were studied to see if there was an empathy gap among their tweet responses. The author uses a content analysis method and observes a sample of empathy gap experiences to notice and study empathy gap behaviour in Twitter toward sexual harassment victims. In the research that has been done, the comments tweet as amount 3733 tweets and chosen 60 of them randomly to know-how is the empathy gap with sexual harassment cases. It is concluded that bullies have aggressive and intimidating characteristics. On message production by the bully, actors are supposed to produce messages in expressive, conventional, and rhetorical ways, including negative empathy characteristics. So on the other hand, the research that has been done concludes that people who act as victims have passive and defensive elements. On message reception by the communicant (victim), the victim placed the position of receiving the message in a dominant, negotiating, and oppositional position.

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