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All Journal Jurnal Kesehatan Masyarakat Indonesia Seminar Nasional Aplikasi Teknologi Informasi (SNATI) e-Journal Pustaka Kesehatan M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Jurnal Mekanik Terapan JUTECH : Journal Education and Technology Interdisciplinary Social Studies Jurnal Ekonomi, Manajemen, Bisnis dan Akuntansi (JEMBA) JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business International Journal of Integrative Sciences Journal of Research and Publication Innovation AMMA : Jurnal Pengabdian Masyarakat Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Jurnal Intelek Insan Cendikia
Santi Rahayu
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Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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PENINGKATAN LITERASI DIGITAL MELALUI PKM DI SMP NEGERI 19 DEPOK : MENGINSPIRASI GENERASI MUDA Regina Maurita Rianto Putri; Ahmad Fa’idh Rifa’i; Almira Safana; Devina Azzahra Putri; Dini Juniarti; Marcelino; Nazua Ditania; Rafli Arabiansyah; Raya Adinda Jayadi Ahmad; Rohimat; Santi Rahayu
Abdi Jurnal Publikasi Vol. 3 No. 2 (2024): November
Publisher : Abdi Jurnal Publikasi

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Abstract

The advancement of technology has transformed human activities, especially in the fields of technology and communication. However, this convenience has been misused by some individuals to commit crimes, such as cyberbullying. Cyberbullying is a new form of bullying that involves the use of electronic media. It is defined as negative activities intentionally and repeatedly carried out to harm others through various electronic platforms, such as social networks, chat rooms, emails, and mobile phones, often involving threatening or offensive messages. This issue is frequently experienced by teenagers who are active internet users, including those in junior high school. Based on this problem, this PKM program aims to educate students of SMP Negeri 19 Depok on preventing cyberbullying behavior and the importance of maintaining a positive digital footprint. This program is designed to raise students' awareness of the impacts of cyberbullying, both on victims and perpetrators, and to provide effective strategies to avoid involvement in such activities. Furthermore, the program focuses on managing digital footprints to help students understand the long-term consequences of their online actions. Through interactive approaches such as seminars, group discussions, and case simulations, students are expected to become more responsible in using technology and communicating online. Thus, this program not only helps prevent cyberbullying but also fosters a healthier digital culture within the school environment.
Penyuluhan Etika Berinternet Dan Bermedia Sosial Dengan Bijak Siswa / Siswi MTS Al -Manar Bogor Anis Ilahi Putri; Dwi Santosa; Idham Nursyifa Hadiansyah; Ilham Fauzi; Latifa Suwari Fadilla; Muhammad Ayub Yunus; Nurhaliza Zahra; Rahmat Hidayat; Rahmat Ramdani; Taufiq Muhaziz; Santi Rahayu
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 6 (2025): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

Perkembangan teknologi informasi dan komunikasi, khususnya media sosial, telah mengubah cara berinteraksi di kalangan anak-anak dan remaja. Meskipun media sosial memberikan banyak manfaat, dampak negatif seperti perubahan perilaku dan cyberbullying menjadi perhatian utama. Penelitian ini menggunakan metode studi kasus untuk mengeksplorasi pemahaman etika media sosial di kalangan siswa MTs Al Manar. Hasil penelitian menunjukkan bahwa penyuluhan tentang etika media sosial berhasil meningkatkan kesadaran siswa mengenai perilaku yang baik dalam berinteraksi di dunia maya. Diharapkan, dengan edukasi yang tepat, siswa dapat menggunakan media sosial secara bijak dan bertanggung jawab, serta menghindari masalah hukum dan menciptakan lingkungan digital yang lebih positif.
PREDIKSI HARGA MINYAK MENTAH DENGAN MENGGUNAKAN ALGORITMA CART (CLASSIFICATION AND REGRESSION TREE) Muhammad Reynaldi; Santi Rahayu; Teti Desyani
Journal of Research and Publication Innovation Vol 3 No 1 (2025): JANUARI
Publisher : Journal of Research and Publication Innovation

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Abstract

Crude oil is an important energy source that experiences significant price fluctuations due to various factors such as geopolitics and global market dynamics. Research conducted by Muhammad Reynaldi in 2024 using the title ‘‘Crude Oil Price Prediction Using the CART (Classification and Regression Tree) Algorithm’’, aims to disseminate examples of crude oil price predictions carefully and easily interpreted. The problem faced in this study is the difficulty of predicting crude oil prices due to fluctuations determined by many external factors. The purpose of this study is to create a more accurate prediction method with traditional methods, and to assist decision making in the energy sector. The results of the study show that the CART solving procedure for predicting crude oil prices with an MSE value of 0.892, an MAE value of 0.700, an RSME value of 0.944, and an R-square value of 0.957. This study places significance on overcoming the challenges of crude oil price fluctuations and provides simple solutions for governments, companies, and energy industry players.
Analisa Optimasi Kebutuhan Daya Mesin Pencacah Sampah Kering Organik dengan Variasi Parameter Sudut Mata Pisau Rahayu, Santi; Budi Basuki
Jurnal Mekanik Terapan Vol 5 No 2 (2024): Agustus 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jmt.v5i2.6024

Abstract

Sampah organik adalah permasalahan lingkungan dengan nilai presentase tertinggi di Indonesia. Umumnya sampah organik dimanfaatkan menjadi kompos untuk lahan pertanian, karena penggunaan pupuk kimia secara berlebihan pada ladang memberikan dampak buruk pada tumbuhan. Perancangan yang dilakukan adalah pengembangan mesin pencacah sampah organik menjadi kompos. Mesin dirancang dengan kapasitas 500 kg/jam, menggunakan transmisi pulley dan v-belt serta motor listrik satu fasa dengan daya 7.5 HP dan putaran 1450 rpm. Analisa dilakukan dengan menggunakan parameter variasi sudut mata pisau dan variasi feeding. Hasil perhitungan menunjukkan bahwa mesin memiliki kecepatan putaran 416.67 rpm dan daya mesin 14.65 HP untuk sudut mata pisau 25 o, 18.52 HP untuk sudut mata pisau 30 o, dan 23.72 HP untuk sudut mata pisau 45o. Selain itu, ukuran cacahan dapat disesuaikan dengan kebutuhan dengan menentukan feedingnya. Berdasarkan hasil perhitungan didapatkan data bahwa semakin tinggi nilai feeding maka semakin besar ukuran cacahan. Sementara itu v-belt yang digunakan adalah sabuk jenis B dan material mata pisau adalah AISI 5155 serta material dudukan pisau dan poros adalah AISI 1045.
Klasifikasi Penyakit Autoimun dengan Algoritma K-Nearest Neighbors Santi Rahayu; Ardhie Firdaus; Ilham Ramdhani; Muhammad Raffi Hermawan; Perani Rosyani
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 2 No 3 (2024): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA)
Publisher : Shofanah Media Berkah

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Abstract

Penyakit autoimun mewakili kategori kondisi medis yang ditandai dengan respon imun yang menyimpang yang menargetkan jaringan sehat, berpotensi mengakibatkan kerusakan organ dan fungsi fisiologis yang terganggu. Diagnosis yang akurat dan tepat waktu sangat penting untuk manajemen penyakit ini secara efektif. Tujuan dari penelitian ini adalah untuk menyelidiki penerapan algoritma K-Nearest Neighbors (KNN) untuk klasifikasi penyakit autoimun menggunakan data klinis dan gejala yang dilaporkan pasien. Algoritma KNN, yang dikenal karena keterusterangan dan kemanjurannya dalam tugas klasifikasi, beroperasi dengan menentukan tetangga terdekat 'k' ke titik data yang dimaksud dan menetapkan label kelas sesuai dengan label dominan di antara tetangga tersebut. Investigasi ini mencakup berbagai metodologi termasuk akuisisi data, pra-pemrosesan, penyebaran kumpulan data, pemilihan nilai-k, pelatihan model, dan evaluasi hasil melalui metrik seperti akurasi dan presisi. Temuan menunjukkan bahwa algoritma KNN dapat mencapai tingkat akurasi yang tinggi dalam membedakan berbagai jenis penyakit autoimun; Namun, pemilihan nilai-k optimal secara signifikan mempengaruhi kinerja model. Akibatnya, pemanfaatan algoritma KNN muncul sebagai pendekatan yang menjanjikan untuk meningkatkan proses diagnostik untuk penyakit autoimun dan memfasilitasi strategi manajemen pasien yang lebih baik.
Application of Expert System in Rice Seedling Selection Based on Smart Data With Methods: Knowledge-Based System and Decision Tree Santi Rahayu; Rosyani, Perani; Saputra, Riski Yoga; Umar, Restu Aji; Prasdio, Sendy; Syach, Wahyu Addiyan
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13510

Abstract

The selection of quality rice seeds is vital for maximizing agricultural productivity and sustainability. This study develops an expert system for rice seed selection based on intelligent data processing using the Knowledge-Based System (KBS) and Decision Tree methods. KBS encodes expert knowledge to evaluate seed quality and environmental compatibility, while Decision Tree algorithms classify and predict optimal seed choices. Experimental results demonstrate the system's accuracy in recommending suitable seeds, reducing selection time and effort. This research highlights the potential of artificial intelligence in enhancing decision-making processes in modern agriculture.
Pemanfaatan Microsoft Excel Sebagai Sarana Pembelajaran Digital Dalam Meningkatkan Pemahaman Pengolahan Data Mahmudin Ais, Fiko; Cakra Diningrat, Sobur; Firmansyah, Azrial; Tanjung, Yudistira; Anandika Yanuar Rahman, Hendi; Pendianus Halawa, Gregorius; Priatama, Yogi; Rusdiyanto; Jidan Ramdani, Muhammad; Muhammad Fakhri, Luthfi; Rahayu, Santi
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The rapid development of information technology requires the education sector to adapt by implementing digital-based learning methods. Microsoft Excel is a powerful data processing software with great potential as a learning tool. However, at SMKS Yadika 10 Kosambi, its utilization has not been optimal, leading many students to struggle with understanding data processing concepts. Through this Community Service Program (PKM), training on the use of Microsoft Excel was provided to Grade X students to improve their digital literacy and data processing skills. The training was conducted interactively, covering topics such as introduction to Excel, basic formulas, and creating charts. The results showed an improvement in students’ understanding of data processing concepts and their ability to use basic Excel features, which are expected to support their readiness for the technology-driven job market.
PERAN MEDIASI KEPUASAN KERJA ATAS PENGARUH GAYA KEPEMIMPINAN DAN IKLIM ORGANISASI TERHADAP KINERJA PEGAWAI (Studi kasus pada Kantor Dinas Pendidikan dan Kebudayaan Kota Probolinggo) Santi Rahayu; Muryati, Muryati
JEMBA: JURNAL EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Vol. 4 No. 3: Mei 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jemba.v4i3.10515

Abstract

The objective to be achieved in this study is to find out empirical evidence about the mediating role of job satisfaction on the influence of leadership style and organizational climate on employee performance. This study uses a quantitative approach with the type of research used is explanatory research. The study was conducted at the Office of Education and Culture of Probolinggo City. The population is all Civil Servants at the Office of Education and Culture of Probolinggo City, totaling 56 people. The researcher selected the sample using a saturated sampling technique because the population is relatively small. The data analysis technique used is partial least square- structural equation modeling using smart-pls software. The results of the study show that leadership style can improve employee performance. Leadership style can improve job satisfaction. Organizational climate is not able to improve employee performance. Organizational climate is able to improve job satisfaction. Job satisfaction is able to improve employee performance. Job satisfaction plays a role in mediating some of the influence of leadership style on employee performance. Job satisfaction plays a role in perfectly mediating the influence of organizational climate on employee performance
Penerapan Algoritma K-Means dan Apriori untuk Analisis Klasterisasi Kemiskinan dan Pola Asosiasi Kepemilikan Bidang Tanah serta Karakteristik Wilayah di Indonesia Khoirunnisa, Salsa; Nabila, Haula Hasna; Fauziah, Shifa; Birawa, Mahesa; Syakur, Roihan Aulia; Rahayu, Santi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1364

Abstract

Kemiskinan dan ketimpangan akses terhadap kepemilikan tanah merupakan isu kompleks yang mempengaruhi kesejahteraan masyarakat di Indonesia. Penelitian ini bertujuan untuk menganalisis klasterisasi kemiskinan dan pola asosiasi kepemilikan tanah menggunakan algoritma K-Means dan Apriori. Data yang digunakan mencakup indikator kemiskinan dan kepemilikan tanah yang diperoleh dari Badan Pusat Statistik (BPS) dan Kementerian ATR/BPN. Hasil analisis menunjukkan tiga kluster kemiskinan dengan karakteristik sosial ekonomi yang berbeda, yaitu kluster miskin ekstrem, miskin sedang, dan relatif sejahtera. Selain itu, analisis asosiasi mengungkapkan pola signifikan antara pendidikan, akses sanitasi, dan status kepemilikan tanah. Temuan ini memberikan wawasan penting bagi pembuat kebijakan untuk merumuskan program intervensi yang lebih efektif dalam pengentasan kemiskinan dan reformasi kepemilikan tanah. Penelitian ini diharapkan dapat berkontribusi pada upaya peningkatan kesejahteraan masyarakat di Indonesia.
The Use of Translation Techniques in Translating Sarcasm in the English-Indonesian Translation of Dialogues in Mean Girls (2004) Rahayu, Santi; Thohiriyah, Thohiriyah
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 11 No. 3 (2025)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v11i3.6215

Abstract

This study aims to analyze how sarcasm is translated in the Indonesian subtitles of the film Mean Girls (2004), focusing on the official version available on HBO. Sarcasm, as a form of expression that relies heavily on context, tone, and cultural understanding, presents particular challenges in the translation process. Specifically, this research seeks to identify the various types of sarcasm appearing in the film and to evaluate the translation methods used to represent these sarcastic expressions in the target language. The method employed is a qualitative descriptive approach. Data were collected by identifying and categorizing sarcastic utterances within the film. Subsequently, the data were analyzed using the translation techniques framework by (Nuriah & Khoirunnisa, 2024) to classify the applied translation methods. The analysis involved an in-depth examination of the utterances’ contexts and a comparison between the source text and its translation. The findings reveal that literal translation is the most frequently used technique, accounting for 56.8%, followed by reduction (16.2%), generalization (8.1%), and discursive creation (8.1%). Other techniques such as modulation, amplification, equivalence, and borrowing were each applied 2.7% of the time to address specific challenges like ambiguity and idiomatic expressions. While literal translation tends to maintain formal equivalence between the source text and the translation, it often fails to fully convey the sarcastic meaning, resulting in a loss of nuance and humor. Conversely, more creative and context-sensitive techniques, although used less frequently, prove to be more effective in preserving the pragmatic force of sarcasm. This study concludes that successful sarcasm translation largely depends on the translator’s creativity and awareness of linguistic and cultural differences.
Co-Authors Abdillah, Ahmad Fahmi Achmad Hindasyah, Achmad Ade Aulia Adelia Putri Ahmad Fa’idh Rifa’i Ahmad Rafli Oktavianto Almira Safana Anandika Yanuar Rahman, Hendi Anis Ilahi Putri Ardhie Firdaus Bahrein, Muhammad Birawa, Mahesa Budi Basuki Cakra Diningrat, Sobur Candra Himawan Devina Azzahra Putri Dini Juniarti Divan Dira Maulana Dwi Rizki Darmawan Dwi Santosa Fauziah, Shifa Firmansyah, Azrial Fredy Bagus Pranata Halawa, Hedwin Winata Hertanto Wahyu Subagio Hizbullah Sulthan Al Aziz Idham Nursyifa Hadiansyah Iis Istiqomah Ilham Fauzi Ilham Ramdhani Jidan Ramdani, Muhammad Jupron Jupron Khoirunnisa, Salsa Latifa Aini Susuma Latifa Suwari Fadilla M. Zidni Ilman Mahmudin Ais, Fiko Marcelino Mohammad Zen Rahfiludin Muhamad Fathuladim Muhamad Sopian Muhammad Ayub Yunus Muhammad Fadhillah Hafidh Muhammad Lintang Fahreza Muhammad Luthfi Muhammad Raffi Hermawan Muhammad Ramzi Muhammad Reynaldi Muhammad Shidqi Alwan Mujayanah, Arsil Muryati Muryati Nabila, Haula Hasna Nafa Ul Haq Azzahra Nazua Ditania Nurhaliza Zahra Ocha Alfiano Okta Irawati Pendianus Halawa, Gregorius Perani Rosyani Prasdio, Sendy Pratama, Sai Priatama, Yogi Rafli Arabiansyah Rahmat Hidayat Rahmat Ramdani Rasel Rubianto Raya Adinda Jayadi Ahmad Regina Maurita Rianto Putri Rivaldi Hidayatullah Rizki Maulana Febriansyah Rohimat Rusdiyanto Salsa Nisrina Putri Saputra, Riski Yoga Siswoyo Siswoyo Sutrisno Sutrisno Syach, Wahyu Addiyan Syakur, Roihan Aulia Tanjung, Yudistira Taufiq Muhaziz Teti Desyani Thohiriyah, Thohiriyah Tirta Adhi Samsara Tri Pudjadi Umar, Restu Aji Wina Febi Deaulya Putri