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All Journal Jurnal Ilmu Komputer EL-MUHASABA Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Jurnal Ilmiah Mahasiswa FEB Jurnal sistem informasi, Teknologi informasi dan komputer JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH Jurnal Manajemen Pendidikan Jurnal Informatika Equilibrium: Jurnal Ilmiah Ekonomi, Manajemen dan Akuntansi Jurnal Ilmu Ilmu Agribisnis: Journal of Agribusiness Science Bunda Edu-Midwifery Journal (BEMJ) Jurnal Ilmu Manajemen (JIMMU) JURTEKSI SALTeL Journal (Southeast Asia Language Teaching and Learning) Jurnal Penelitian Tarbawi: Pendidikan Islam dan Isu-Isu Sosial SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Jurnal Peduli Masyarakat Jurnal Infortech Cendekia Niaga Jurnal Sistem Informasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) PROFESSIONAL HEALTH JOURNAL At-Tasyri Jurnal Hukum Islam dan Ekonomi Syariah SPEED - Sentra Penelitian Engineering dan Edukasi Journal of Social And Economics Research Tarbiyah bil Qalam : Jurnal Pendidikan Agama dan Sains Surakarta Civil Engineering Review All Fields of Science Journal Liaison Academia and Sosiety Journal Liaison Academia and Society English Education and Applied Linguistics Journal (EEAL Journal) Jurnal Manajemen Sistem Informasi Majalah Ilmiah METHODA Journal of Innovative and Creativity Journal of Computer Science Contributions (Jucosco) Krigan: Journal of Management and Sharia Business Jurnal Ilmiah Nusantara Journal of Data Analytics, Information, and Computer Science (JDAICS) Suluah Pasaman journal of social and economic research Prawara Jurnal Pengabdian Masyarakat
Rahayu Ningsih
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Pelatihan Microsoft Powerpoint bagi Pengurus dan Staf Pengajar TPQ Nurul Jihad Tanjung Priuk Waldhani, Gesti Essa; Ningsih, Rahayu; Rahmatullah, Beni; Saputra, Suwanda Aditya
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/qv9ztz94

Abstract

In the current era, almost all learning requires the use of computer applications. Technological developments, especially computer applications, are currently helping in the manufacture of teaching materials, so that learning can generate new motivation and interest in students. One of them is making teaching materials at TPQ Nurul Jihad which requires supporting applications so that the displayed learning can be understood because currently some of the teaching materials displayed are still using conventional methods, using applications Microsoft Powerpoint in making TPQ teaching materials it is still not maximally used because some TPQ educators still don't understand the use of the applications used, so the service team make training Microsoft Powerpoint. This is intended so that educators are more familiar with the use of the application Microsoft Powerpoint for presentation purposes. The method used in providing education about the use Microsoft Powerpoint is a lecture to provide an explanation of theory and simulation, questions and answers as well as evaluation tests for practical methods. The results of this community service stated that the beginning of the teacher meeting had several obstacles in moving and changing sizes text box as well as shape because they are not used to using the laptop keypad. However, after being guided by the service team, these obstacles were minimized until finally the educators were able to work with text and shape. So, it can be said that this service goes according to the target of the service team.
COMPARATIVE ANALYSIS OF K-MEANS, X-MEANS AND K-MEDOIDS IN CLASSIFYING MARRIAGE CHOICED ADMIST QUARTER-LIFE CRISIS Ariza, Disya Nurul; Ningsih, Rahayu; Muryani, Sri; Ferliyanti, Herlina; Wahidin, Ahmad Jurnaidi
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3554

Abstract

Abstract: Bekasi Regency, being one of the key cities in Indonesia, offers a suitable setting to study the intricacies of marriage decision-making during a quarter-life crisis. This study focuses on the application of clustering algorithms to categorize individuals based on their marriage choices. Data was collected from a questionnaire completed by 110 respondents from Bekasi Regency, specifically individuals aged 18 to 30 who are single, including 80 women and 30 men. Data analysis was conducted using the RapidMiner software to evaluate the effectiveness of three clustering algorithms K-Means, X-Means, and K-Medoids in categorizing marriage decision patterns among young people experiencing a Quarter Life Crisis in Bekasi Regency. Results indicate that each algorithm has its own strengths and limitations in handling Quarter Life Crisis data.The results of the analysis show that the K-medoids algorithm provides the best clustering results with the lowest DBI value of 0.195, followed by the X-Means algorithm with a value of 0.199 and K-Means with a value of 0.207. These results can help understand the pattern of marriage decisions in the Quarter Life Crisis phase and help provide insights for policymakers in Bekasi Regency to make more effective intervention programs.            Keywords: K-Means; K-Medoids; X-Means  Abstrak: Sebagai salah satu kota besar di Indonesia, Kabupaten Bekasi memberikan konteks yang tepat untuk mempelajari kompleksitas pengambilan keputusan pernikahan di tengah krisis seperempat usia. Penelitian ini berfokus pada pemanfaatan algoritma clustering untuk mengelompokkan individu berdasarkan pilihan pernikahan mereka. Data diambil dari kuesioner yang diisi oleh 110 responden di Kabupaten Bekasi, yang terdiri dari individu lajang berusia 18 hingga 30 tahun, yaitu 80 perempuan dan 30 laki-laki. Analisis data dilakukan dengan perangkat lunak RapidMiner untuk mengevaluasi efektivitas tiga algoritma pengelompokan—K-Means, X-Means, dan K-Medoids—dalam mengelompokkan pola keputusan pernikahan di kalangan pemuda yang menghadapi Quarter Life Crisis di Kabupaten Bekasi. Hasilnya menunjukkan bahwa setiap algoritma memiliki keunggulan dan kelemahannya masing-masing dalam memproses data Quarter Life Crisis. Hasil analisis menunjukkan bahwa algoritma K-medoids memberikan hasil clustering terbaik dengan nilai DBI terendah yaitu 0.195, diikuti oleh algoritma X-Means dengan nilai 0.199 dan K-Means dengan nilai 0.207. Hasil ini dapat membantu memahami pola keputusan menikah pada fase Quarter Life Crisis dan membantu memberikan wawasan bagi pembuat kebijakan di Kabupaten Bekasi membuat program intervensi yang lebih efektif.  Kata kunci: K-Means; K-Medoids; X-Means 
Penggunaan Metode Analytical Hierarchy Process untuk Menentukan Model Learning Management System Anjani, Yulia Rizki; Ningsih, Rahayu; Wahidin, Ahmad Jurnaidi; Pattiasina, Tiska
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.5459

Abstract

Covid-19 memberikan berbagai dampak pada banyak aspek kehidupan, sektor pendidikan dan pelatihan juga ter dampak wabah pandemi ini. Akibatnya, sistem pembelajaran berubah secara total yang tadinya proses pembelarajan dilakukan di kelas secara tatap muka menjadi pembelajaran jarak jauh yang membutuhkan teknologi untuk mengimplementasikanya, yaitu menggunakan pembelajaran elektronik. Sistem Manajemen Pembelajaran atau LMS merupakan sistem manajemen yang dibuat untuk mendukung dan memfasilitasi proses pembelajaran jarak jauh. Dibutuhkan perancangan model yang dibuat sesuai dengan kebutuhan agar proses pembelajaran dan pelatihan berjalan dengan baik. Untuk menangani hal tersebut, maka penelitian ini dilakukan untuk menentukan model Sistem Manajemen Pembelajaran atau LMS yang dapat memenuhi kebutuhan yang ada. Analytical Hierarchy Process (AHP) ialah salah satu metode sistem pengambilan keputusan yang dapat digunakan sebagai pemecah masalah dalam pengambilan keputusan penentuan dari model yang akan digunakan pada Sistem Manajemen Pembelajaran atau LMS. Sebagai pertimbangan, terdapat 9 (sembilan) kriteria yang akan digunakan untuk menentukan model yang paling sesuai, yaitu: accessibility (C1), usability (C2), compatibility (C3), learnability (C4), sustainability (C5), portability (C6), security (C7), multilingual (C8), dan user satisfaction (C9). Setelah dilakukannya pengukuran pada sembilan kriteria, dilanjutkan dengan penentuan bobot kriteria dan dilakukan perhitungan pada ketiga alternatif yaitu LMS A, LMS B dan LMS C dan akan didapat LMS mana yang paling sesuai dengan kebutuhan yang ada. Dari hasil perhitungan menghasilkan nilai akhir LMS A sebesar 0,212, LMS B sebesar 0,315, dan LMS C sebesar 0,473. Dengan hasil akhir yang sudah didapatkan dari masing-masing bobot akhir kriteria menggunakan metode AHP maka model yang paling sesuai dengan kebutuhan yang ada ialah model LMS C.
Dampak Penolakan Produk Ekspor Indonesia terhadap Indikator Perekonomian dan Perdagangan Ningsih, Rahayu; Epianingsih, Yuliana
Cendekia Niaga Vol. 9 No. 2 (2025): Jurnal Cendekia Niaga : Trade and Development Studies
Publisher : Pusat Pengembangan Kompetensi Aparatur Perdagangan

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

Abstract

Indonesia is the world's fourth-largest exporter of instant noodles, following South Korea, China, and Thailand, with a positive growth trend of 9.47% over the past five years (BPS, 2024). However, despite this growth, in 2022, Indonesian instant noodle products were recalled in several export destination countries due to contamination with ethylene oxide (EtO) and 2-chloroethanol (2-CE). This issue has the potential to reduce market access and hinder Indonesia’s export performance in the future, not only for instant noodles but also for processed food products in general. In this case, the Recursive Dynamics Computable General Equilibrium (RDCGE) model was constructed to analyze the trade impact of the product recall on Indonesia's export performance. Under the assumption of a 9% export decline in the Malaysian market, the results indicate a GDP reduction of -0.003%, a total export volume decrease of -0.006%, and a trade balance decline of USD -0.0014 million. From a consumer protection perspective, if EtO and 2-CE contamination is not mitigated, it will not only affect market access abroad but also pose risks to consumer safety domestically, particularly concerning food safety issues. Long-term consumption of food contaminated with EtO and 2-CE can lead to serious health problems. Considering the recommendations from the analysis, Government has proposed that EtO and 2-CE be included in the priority list of residues to be harmonized within the Codex framework.
Clustering Analysis Of Productive Age Unemployment Rates Using The K-Means Algorithm In Bekasi City Ningsih, Rahayu; Suharsono, Dhiya Firyal; Muryani, Sri; Rukiastiandari, Sinta; Ferliyanti, Herlina
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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Abstract

Unemployment among the productive-age population remains a significant issue in urban areas, particularly in Bekasi City, which recorded an open unemployment rate of 7.82% in August 2024—much higher than the national average of 4.91%. This study aims to classify productive-age unemployment using a machine learning approach with the K-Means Clustering algorithm to provide a more comprehensive understanding of unemployment patterns. This research adopts a quantitative approach with the use of SPSS version 25 and RapidMiner software. SPSS is used for validity, reliability, multicollinearity tests, optimal cluster determination, and ANOVA. Primary data were collected through a questionnaire distributed to 100 respondents, with 75 valid responses meeting the criteria (productive age, unemployed, and actively seeking employment). The research variables include age, education level, unemployment duration, perception of job opportunities, self-perception, and factors causing unemployment. The K-Means analysis resulted in three main clusters: the pessimistic cluster (low motivation), the neutral cluster (moderate perception), and the optimistic cluster (high motivation). Evaluation using ANOVA showed that the variables significantly differentiate between the clusters. These findings emphasize that productive-age unemployment is heterogeneous and requires cluster-based specific policies.
Co-Authors A, Faiz Abdul Majid Adila, Nesria Aditya, Suwanda Agung Prasongko, Wahyu Ahmad Jurnaidi Wahidin Akmal, Fauzi Alam, Muhammad Ramadhan Sangisda Aminuddin Aziz, M.PdI, Abdullah Amra, Ricca Nophia Amra, Ricca Nophia Amra Ana Fatonah Ana Fatonah, Ana Ananda, Nely Angriani, Riana Anisa Putri Anjani, Yulia Rizki Anus Wuryanto Aprilliah, Widya Ariyanti, Putri Ariza, Disya Nurul Asrika Sari Harahap Auziah, Silfia Bancin, Fitriani Banciny, Fitriani Banurea, Indah Bariroh, Umi Basra, Sri Meiweni Basunanda, Muhammad Devan Beni Rahmatullah Carmel Meiden Caterin Magdalena Simamora Dafrizal, Dafrizal Damayanti, Elok Dania Azzahra, Keyza Devi Risma Dewi Yuliandari Dwi, Gebi Sintia Eko Haryanto Eneng Iviq Hairo Rahayu Epianingsih, Yuliana Erawati, Wati Essa Waldhani, Gesti Febiola, Tasha Samira Feriyanto, Mochamad Zely Eko Gesti Essa Waldhani Hanifuddin Mahadun Hapid Hapid Herlina Ferliyanti Idawati, Khoirotul Irma Noviana, Irma Istiqomah, Amelia Isyana Emita Julian, Marval Juliani, Vivi Selesti K, Munawir Karnadi, Karnadi Kertanegara, I Wayan Alvin Kevin kevin Khusnul Khotimah Laila Hayati, Laila Lisabela Narandia Maqfirah, Ulfa Maula, Iffatul Medianasari, Putri Melya Husna Minda Septiani Monalisa, Dian Muh. Amir Anas Muhammad Agus Muljanto Muhammad Helmi Muhammad Husni Muhammad Rifai Muhammad Zulkarnain Narandia, Lisabela NH, Khairu Ramadani Nisaa', Choirin Noerbayani, Pani NURLIANA NURLIANA Nurpadilah, Sintia Dona Pabidang, Siswanto Pasaleron, Roni Pattiasina, Tiska Prameswari, Vidya Prastiwi, Yurika Pratomo, Andro Dewa Priatno, Priatno Primantari, FA. Luky Purwati, Rati Putri, Halimatussa’diyah Putri, Rahmayana Rahman, Ikhwan Raja, Bangkit Kharisma Rambe, Riska Sititah Rambe, Rizka Sititah Rasdiany, Apriana Nofriastuti Ratih Puspita, Ratih Ratna Ratna Ria Novianti Ricca Nophia Amra Rofiatul Hosna sanjay, sanjay Sapto Widiyanto Silalahi, Mey Ramenawati Silvy Amelia - Universitas BSI Simamora, Caterin Magdalena Sinta Rukiastiandari Siswanto, Felicia Solly Aryza Sri Muryani, Sri Sri Wahyuni Suarno Sadar Suhardoyo Suharsono, Dhiya Firyal Suwanda Aditya Suwanda Aditya Saputra Titik Misriati Ulyana, Dyah Nurul Umami, Novita Utami, Hana Putri Verra Sofica Waldhani, Gesti Essa Walim, Walim Widya Aprilliah Wilda Tri Handayani Williandani, Mega Wina Yusnaeni Wulandari, Wiranda Yulia Ratih, Silvia yuliawati, eni Zainul Arifin