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All Journal Science Midwifery Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Prosiding University Research Colloquium Jurnal Sintak Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Journal of applied statistics and data mining
Khikmah, Laelatul
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Modeling the Number of Poor People in East Java Province Salmaa Shafira; Khikmah, Laelatul
Journal of Applied Statistics and Data Mining Vol. 5 No. 1 (2024): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v5i1.69

Abstract

Kemiskinan merupakan masalah utama bagi banyak negara di dunia, terutama di negara-negara berkembang. Jumlah penduduk miskin di Indonesia pada Maret 2022 adalah 26,16 juta jiwa, provinsi dengan jumlah penduduk miskin tertinggi adalah Provinsi Jawa Timur sebesar 4,23 juta jiwa. Provinsi Jawa Timur memiliki tingkat kemiskinan tertinggi dibandingkan dengan provinsi lain di Pulau Jawa. Peningkatan angka kemiskinan di Jawa Timur disebabkan oleh jumlah penduduk yang besar namun tidak diimbangi dengan persebaran penduduk dan peningkatan kesempatan kerja. Oleh karena itu, untuk menanggulangi kemiskinan diperlukan suatu analisis untuk mengetahui pengaruh lokasi, analisis yang lebih tepat menggunakan analisis regresi spasial. Daerah yang termasuk dalam kategori tingkat kemiskinan sangat tinggi adalah Kabupaten Malang, Kabupaten Jember, Kabupaten Probolinggo, Kabupaten Tuban, Kabupaten Bangkalan, Kabupaten Sampang, dan Kabupaten Sumenep. Variabel Upah Minimum Kabupaten/Kota (X2) berpengaruh positif terhadap jumlah penduduk miskin sedangkan variabel Rata-rata Lama Sekolah (X4) berpengaruh negatif terhadap jumlah penduduk miskin.
The Effectiveness of the Desa Cantik Program in Village Data Management Isnaini, Kholishah; Khikmah, Laelatul
JURNAL SINTAK Vol. 3 No. 2 (2025): MARET 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i2.551

Abstract

The Desa Cinta Statistik Program (Desa Cantik) is an initiative by the Badan Pusat Statistik (BPS) aimed at enhancing village capacity in statistical data management to support evidence-based development planning. This study aims to evaluate the effectiveness of the Desa Cantik program in Kendal Regency, focusing on the satisfaction levels of village statistical agents and village officials regarding program implementation, village participation, BPS involvement, as well as the roles of relevant agencies and students in this program. The method used is quantitative descriptive analysis with a saturated sampling technique, involving 25 respondents from five selected villages in the program. The study results indicate that more than 75% of respondents are satisfied with the program's implementation, village participation, and BPS support. However, some challenges remain in coordination and community engagement. Therefore, optimizing socialization and strengthening coordination among stakeholders is necessary to improve the program’s effectiveness in the future
Identification of Variables Affecting Employee Performance Using Ordinal Logistic Regression Reska; Khikmah, Laelatul
JURNAL SINTAK Vol. 3 No. 2 (2025): MARET 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i2.552

Abstract

This study aims to identify the variables that most influence employee performance at PT. XYZ using ordinal logistic regression. Data was collected through an employee performance evaluation questionnaire covering variables such as professionalism, openness, integrity, kinship, and occupational health and safety (K3L). The research sample consisted of 36 employees selected using the random sampling method based on Slovin's formula. Data analysis was conducted through simultaneous tests, partial tests, and model fit tests to ensure the suitability of the ordinal logistic regression model used. The results showed that out of the five tested variables, only the kinship variable had a significant effect on employee performance (p-value < 0.05). The resulting model met the goodness-of-fit test (p-value = 0.801), making it applicable for human resource management decision-making. These findings indicate that enhancing the culture of kinship in the workplace can be a key strategy for improving employee performance at PT. XYZ.
Logistic regression analysis to identify factors contributing to stunting cases Khikmah, Laelatul; Yulianto, Safaat
Science Midwifery Vol 13 No 2 (2025): June: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i2.1990

Abstract

Stunting is a condition characterized by impaired growth and development in children, caused by various factors such as poor nutrition, infections, and a lack of psychosocial stimulation. Indonesia is one of the Asian countries with a high prevalence of stunting. The increasing stunting rates have raised concerns about the nation's future generation. The aim of this study is to identify the factors contributing to stunting cases, particularly in Karangtengah Village, Sumberjo Village, Kumpulrejo Village, Kutoharjo Village, Krajankulon Village, and Sarirejo Village in Kaliwungu Subdistrict, Kendal Regency, using a logistic regression approach. The variables in this study include stunting status as the dependent variable, while the independent variables are gender, low birth weight (LBW), child disease history, marital status, maternal education, maternal height, pregnancy status, ANC history, maternal phone usage duration, maternal anemia history, child intake and nutrition, and hygiene and environmental conditions. Based on the analysis results, it was found that only the duration of maternal phone usage significantly influenced the occurrence of stunting in children, with a tendency value of 0.071.
Penguatan Struktur Data dan Algoritma bagi Mahasiswa: Fondasi Karir Profesional di Bidang Teknologi Informasi Huda, Nurul; Istiawan, Deden; Khikmah, Laelatul; Nur Cahyani, Annisa
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 3 No. 3 (2025): Juli : Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v3i3.942

Abstract

The rapid advancement of information technology demands higher education graduates to possess strong digital competencies, particularly algorithmic literacy. This form of literacy involves understanding data structures, programming logic, and computational thinking in problem-solving. This community service program aimed to strengthen algorithmic literacy among students as a foundational skill for building a professional career in the field of information technology. Conducted at the Information Technology Study Program of Universitas ‘Aisyiyah Yogyakarta, the program included need assessment, instructional material development, interactive training sessions, case-based group work, and evaluation through student presentations. The results showed significant improvement in students’ understanding of algorithms and their ability to design efficient and systematic solutions. By applying a problem-based and collaborative learning approach, students also developed essential 21st-century skills such as communication and teamwork. The case presentation-based evaluation provided comprehensive insights into their critical and logical thinking abilities. This program successfully contributed to preparing students not only as technology users but also as future innovators in the digital era.
Application Of Ordinal Logistic Regression On Harmonious Religion Communion Data In Bali Province In 2024 Al-Imdi, Fourria Renggani; Khikmah, Laelatul
JURNAL SINTAK Vol. 4 No. 1 (2025): SEPTEMBER 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v4i1.726

Abstract

This study aims to analyze the influence of educational attainment and income level on the Religious Harmony Index in Bali Province using ordinal logistic regression. Secondary data from the 2024 Religious Harmony Survey was used, involving 400 respondents. The research results indicate that neither education nor income has a significant effect on the level of religious harmony in Bali Province. This suggests that structural factors such as education and economy may not be the primary determinants of social harmony in Balinese society, but rather cultural values, local wisdom, and social interactions that have been internalized in daily life. The simultaneous test results show that the overall ordinal logistic regression model is not significant. This conclusion affirms that harmony in Bali is influenced by factors other than the variables tested.
Peluang Kejadian Anemia pada Ibu Hamil di Kabupaten Grobogan dengan PendekatanRegresi Logistik Ningrum, Wulan Septya; Khikmah, Laelatul
Prosiding University Research Colloquium Proceeding of The 7th University Research Colloquium 2018: Mahasiswa (student paper presentation)
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

Anemia merupakan permasalahan yang sering terjadi pada wanitakhususnya pada wanita usia subur atau ibu hamil dimana kebutuhannutrisi yang semakin meningkat seiring bertambahnya usia kehamilan.Anemia pada ibu hamil perlu mendapat perhatian khusus karena dapatmeningkatkan risiko kematian dan morbiditas ibu dan bayi, termasukresiko keguguran, kelahiran mati, prematuritas serta Berat BadanLahir Rendah (BBLR). Meskipun prevalensi anemia sudah menurunnamun World Health Organization (WHO) menargetkan pengurangan50% anemia pada wanita usia subur di tahun 2025 mendatang. DiKabupaten Grobogan sendiri 46% dari ibu hamil mengalami anemia.Tingginya Angka Kematian Ibu (AKI) dan Angka Kematian Bayi(AKB) yang terjadi di Kabupaten Grobogan juga merupakan indikatordari adanya kejadian anemia pada ibu hamil. Dalam penelitian inidiusulkan metode regresi logistik dengan tujuan untuk mengetahuifaktor-faktor yang berpengaruh terhadap kejadian anemia pada ibuhamil. Data yang digunakan dalam penelitian ini adalah datasekunder yang diperoleh dari hasil rekam medis ibu hamil dengankondisi lahir mati yang tercatat di Dinas Kesehatan KabupatenGrobogan periode Januari-Desember 2016 dengan jumlah 212responden. Variabel yang digunakan yaitu status anemia (Y)status gizi(X1), umur (X2), pendidikan (X3), pekerjaan (X4), usia kehamilan (X5),dan ANC/kunjungan kehamilan (X6). Dengan menggunakan analisisregresi logistik didapatkan variabel yang berpengaruh terhadapkejadian anemia pada ibu hamil di Kabupaten Grobogan adalah statusgizi yang kurang baik (X1KEK). Kecenderungan seorang ibu hamildengan kondisi KEK untuk menderita anemia sebesar 1.817 kalidibanding ibu hamil dengan kondisi gizi baik. Sedangkan peluangseorang ibu hamil terkena anemia dengan kondisi yang kurang baik(KEK) sebesar 1.Sehingga dapat disimpulkan bahwa semakin baik giziibu hamil maka akan semakin rendah risiko terjadinya kejadiananemia.
Analisis Regresi Logistik Terhadap Faktor yang Mempengaruhi Penggunaan Kontrasepsi pada Survey Demografi Kesehatan Indonesia 2012 Fahmi, Faikul; Khikmah, Laelatul
Prosiding University Research Colloquium Proceeding of The 7th University Research Colloquium 2018: Mahasiswa (student paper presentation)
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

Pertambahan penduduk merupakan permasalahan yang masih belumbisa ditangani karena tidak dibarengi dengan peningkatan kesehatan,pendidikan dan lapangan pekerjaan. Dalam kurun waktu sepuluhtahun penduduk di Indonesia telah mengalami pertumbuhan sebesar1,49%.. Salah satu cara pemerintah menekan jumlah pertumbuhanpenduduk adalah program keluarga berencana. Tujuan programKeluarga Berencana (KB) adalah meningkatan kepedulian dan peranserta masyarakat melalui pendewasaan usia perkawinan, pengaturankelahiran, pembinaan ketahanan keluarga peningkatan kesejahteraankeluarga untuk mewujudkan keluarga kecil, bahagia dan sejahtera.Dalam penelitian ini diganakan metode regresi logistik untukmengetahui faktor-faktor apa yang berpengaruh terhadap metodekontrasepsi. Peubah respon yang digunakandalam penelitian iniadalah status penggunaan metode (Y). Sedangkan peubah penjelasusia responden (X1), jumlah anak masih hidup (X2), jenis tempattinggal (X3), jenis kelamin kepala keluarga(X4), pengetahuan KB (X5),pekerjaan Istri(X6), pendidikan istri(X6), dan pendidikan suami(X8).Data yang digunakan dalam penelitian ini adalah data SDKI 2012.Berdasarkan analisis regresi logistic didapatkan peubah yangberpengaruh terhadap status penggunaan metode kontrasepsi(kategori yang tidak memakai) yaitu usia responden diantara 30sampai 39 tahun (X12), usia responden yang lebih dari 39 tahun (X13),jumlah anak responden yang lebih dari 2 anak (X22), jenis kelaminwanita sebagai kepala rumah tangga (X42), pendidikan istri sampaismp (X72), pendidikan istri sampai sma (X73), pendidikan suami sampaisma (X83), pendidikan suami sampai universitas (X84).
Co-Authors Al-Imdi, Fourria Renggani Alfa Puspita Swasti Anggraini Atika Nurani Ambarwati Aulia Fadhli Boer Fahmi, Faikul Fida Fariha Amatullah Hapsari, Dina Fristantiningtyas Wiliyani Isnaini, Kholishah Istiawan, Deden Ningrum, Wulan Septya Nur Cahyani, Annisa Nurdiansah, Sendi Nugraha Nurul Huda Radhyana Dwi Cahyaning Risdianti Rahmania Novandra Ratnasari, Elis Meida Reska Salmaa Shafira Sulistijanti, Wellie Wati, Aprilia Dwi Anggara Wijayaningrum, Taswati Nova Yulianto, Safaat