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All Journal JOIV : International Journal on Informatics Visualization JURNAL MANAJEMEN MOTIVASI Communications in Science and Technology JURNAL PENDIDIKAN TAMBUSAI INTI Nusa Mandiri Jurnal Informasi dan Teknologi Jurnal Abdi Insani Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Peduli Masyarakat Bioed : Jurnal Pendidikan Biologi Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Journal of Student Development Information System (JoSDIS) Internet of Things and Artificial Intelligence Journal Kartika: Jurnal Studi Keislaman Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Kefarmasian Indonesia Jurnal Pendidikan Bahasa dan Sastra Indonesia
SAKINAH, PUTRI
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Peningkatan Aksesibilitas UMKM melalui Implementasi Pembuatan Web Profil Pada PLUT KUMKM Provinsi Sumatera Barat Nurfiah, Nurfiah; Satria, Budy; Khairi, Luthfil; Wahyudi, Wahyudi; Putri, Rahmi Eka; Sakinah, Putri; Khairuno, Rehan; Al Ghifari, Ryan; Fahreri, Humayra; Andini, Dhiya Safira
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.997

Abstract

PLUT KUMKM West Sumatra is a PkM Partner as well as a government agency under the Cooperatives and SMEs Service of West Sumatra Province as the vanguard in growing entrepreneurship. The problem that occurs is the difficulty of managing MSMEs to increase the development of businesses owned by business actors because it has not been done digitally, such as marketing that is still not optimal. The purpose of PkM is to create a media to accommodate business activities, one of which is product marketing using a website. The urgency of creating a website for MSMEs is the wide target market reach, building an image through online identity, effective promotional media and providing space for MSMEs to present complete information about the business to prospective buyers. The Implementation Method consists of Pre-preparation, preparation, implementation and evaluation. The results of the activities obtained through this PkM are Community Service Activities successfully producing an MSME website at PLUT-KUMKM West Sumatra Province based on a Content Management System (CMS) which helps product management and ordering through the menus provided. Increasing efficiency in maintaining site content can be done with intuitive user interface features. The profile website is effective as a provider of MSME information to reach potential buyers. Its existence increases functionality and security in providing information to prospective buyers and the public.ABSTRAKPLUT KUMKM Sumatera Barat merupakan Mitra PkM juga sebagai instansi pemerintahan di bawah Dinas Koperasi dan UKM Provinsi Sumatera Barat sebagai garda terdepan dalam menumbuhkan kewirausahaan. Permasalahan yang terjadi adalah kesulitan melakukan pengelolaan UMKM untuk meningkatkan perkembangan bisnis yang dimiliki oleh pelaku usaha karena belum dilakukan secara digitalisasi seperti pemasaran yang masih belum optimal. Tujuan PkM adalah membuat suatu media untuk mewadahi kegiatan bisnis salah satunya adalah pemasaran produk menggunakan website. Urgensi dari pembuatan website bagi UMKM adalah jangkauan target pasar yang luas, membangun citra melalui identitas secara online, media promosi yang efektif serta memberikan  ruang bagi UMKM untuk menyajikan informasi lengkap tentang bisnis kepada calon pembeli. Metode Pelaksanaan terdiri dari Pra-persiapan, persiapan, pelaksanaan dan evaluasi. Hasil kegiatan yang diperoleh melalui PkM ini adalah Kegiatan Pengabdian kepada Masyarakat berhasil menghasilkan web UMKM di PLUT-KUMKM Provinsi Sumatera Barat berbasis Content Manajemen System (CMS) yang membantu manajemen dan pemesanan produk melalui menu yang disediakan. Meningkatkan efisiensi dalam merawat konten situs bisa dilakukan dengan fitur antarmuka pengguna yang intuitif. Website profil efektif sebagai penyedia informasi UMKM untuk mencapai potensi pembeli. Keberadaannya meningkatkan fungsionalitas dan keamanan dalam memberikan informasi kepada calon pembeli dan masyarakat.
Comparative Analysis of Weighted-KNN, Random Forest, and Support Vector Machine Models for Beef and Pork Image Classification Using Machine Learning Satria, Budy; Afrianto, Nurdi; Ningsih, Lidya; Sakinah, Putri; Sidauruk, Acihmah; Mayola, Liga
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3736

Abstract

The actual problem that occurs in the sale of meat by some conventional market traders is mixing beef with pork because of the high selling price. The difference between pork and beef lies in the color and texture of the meat. However, many people do not understand this difference. This study aims to provide a solution to distinguish the two types of beef through a classification process by obtaining the best accuracy using the W-KNN, RF, and SVM models based on machine learning. This study compares the model's performance based on the number of datasets, comprising 400 original images (200 beef and 200 pork images), using a 80:20 ratio for training and test data. The extraction process uses two algorithms: HSV (Hue, Saturation, Value) and RGB (Red, Green, Blue). The model evaluation uses a confusion matrix that includes accuracy, Precision, Recall, and F1-score. Based on the results of the model testing, it was found that the random forest algorithm gave the best overall results, with the highest accuracy of 98.75%, Precision of 97%, F1-score of 98%, and recall of 99% on the number of decision trees of 400. This shows the stability and generalization of the superior model. The random forest algorithm is the most effective for classifying beef and pork data with minimal errors. Implications for further research include using a deep learning approach, especially for image processing, to detect differences in each meat characteristic and increase accuracy.
Kondisi Peradaban Dalam Perkembangan Intelektual Pada Masa Disintegrasi Dinasti Abbasiyah Sakinah, Putri; Yasin, Arbi
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Dalam literatur sejarah Islam, Baghdad dikenal sebagai pusat peradaban Islam, baik dalam bidang sains, budaya dan sastra. Kemajuan peradaban ini menghadirkan Baghdad sebagai kota para intelektual, tidak hanya orang arab yang hadir, bangsa Eropa, Persia, Cina, India serta Afrika turut hadir mengisi atmosfer pengetahuan disini. Masa kekhalifahan Abbasiyah ini lah yang dikenal berkembang pesatnya pengetahuan. Pada masa ini banyak sekali bermunculan intelektual-intelektual muslim baik dalam bidang ilmu pengetahuan maupun ilmu agama. Dalam masa kekhalifahan Abbasiyah keadaaan sosial ekonomi pun berkembang dengan baik. Seperti halnya dalam bidang pertanian maupun perdagangan. Masyarakat pada masa itu mampu mengatur tatanan kehidupannya dengan baik, hingga dikenal sebagai negeri masyhur dan makmur. Pada masa kerajaan Abbasiyah kekuasaan Islam bertambah luas. Masyarakat dibagi atas dua kelompok yaitu kelompok khusus dan kelompok umum, kelompok umum terdiri dari Seniman, ulama, fuqoha, pujangga, saudagar, pengusaha kaum buruh, dan para petani sedangkan kelompok khusus terdiri dari khalifah, keluarga khalifah, para bangsawan, dan petugas-petugas Negara. Dalam perkembangan ilmu pengetahuan, para khalifah banyak mendukung perkembangan tersebut, terlihat dari banyaknya buku-buku bahasa asing yang diterjemahkan kedalam bahasa arab, dan lahirnya para kaum intelektual.
Sentiment Analysis of Gojek App Reviews on Google Play Store with Natural Language Processing Using Naive Bayes' Algorithm Rahman, Zumardi; Sakinah, Putri; Hendra, Yomei; Satria, Budy; Maulana, Fajar; Ayun, Aisyah Qurrata
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 6 No. 03 (2024): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v6i03.1189

Abstract

In the digital era, sentiment analysis is an important tool to understand user perceptions of applications, including the Gojek application. This study aims to analyze the sentiment of Gojek application user reviews on the Google Play Store using the Naive Bayes algorithm. The research process involved collecting 5,000 reviews, preprocessing the text, weighting with TF-IDF, and applying the Naive Bayes algorithm to classify sentiment into negative, neutral, and positive. The evaluation results show that the model has the best accuracy of 76% after applying the data balancing technique. The model's performance for negative sentiment is very good with a precision of 91% and an F1 score of 87%. Positive sentiment shows quite good performance with a precision of 76% and an F1 score of 65%. However, neutral sentiment has low precision (23%) although recalls increased to 51%. Sampling techniques such as SMOTE have succeeded in improving the model's ability to recognize underrepresented classes. With an overall evaluation of weighted average precision of 82% and an F1 score of 78%, this model is considered quite reliable in analyzing the sentiment of Gojek app reviews. This research provides insights for application developers in improving service quality based on user perception..
ISU IDENTITAS DAN STEREOTIPE DI SEKOLAH DASAR Lia Mirani; Sakinah, Putri; Nurhapsari, Tiara; Rodhiyah, Siti; Herliani, Aprida; Almaly, Muhammad; Suhaimi Suhaimi
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 6 (2025): Desember 2025 - Januari 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Perlakuan bias dan stereotipe masih banyak dijumpai di Sekolah Dasar, terutama terkait dengan peran gender dan kemampuan akademik. Tujuan utama penelitian adalah menganalisis bentuk-bentuk stereotip, dan proses pembentukan identitas siswa dampak stereotip dan strategi sekolah dalam menanggulanginya. Penelitian ini menggunakan pendekatan kualitatif dengan desain studi kasus. Data dikumpulkan melalui wawancara terstruktur, observasi non-parsitipastif, dan dokumentasi pada guru dan siswa. Analisis data melewati tahap reduksi data, penyajian data deskriptif, serta penarikan kesimpulan dan verifikasi menggunakan triangulitas data. Hasil menunjukan bahwa stereotipe gender masih teridentifikasi dalam interaksi di sekolah dasar.
Phytochemical Profiling of Methanolic and Ethanolic Extracts of Pemphis acidula (J.R.Forst. & G.Forst.) Leaf using LC–MS/MS and GC–MS Sakinah, Putri; Fathoni, Ahmad; Sinaga, Ernawati
Jurnal Kefarmasian Indonesia VOLUME 15, NUMBER 2, JULY-DECEMBER 2025
Publisher : Pusat Penelitian dan Pengembangan Biomedis dan Teknologi Dasar Kesehatan

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Abstract

Pemphis acidula (J.R.Forst. & G.Forst.) is a mangrove species of the Lythraceae family widely distributed along the Indonesian coasts. Traditionally used for medicinal and cosmetic purposes, information on its phytochemical composition remains limited. Comprehensive chemical profiling is essential to elucidate its bioactive potential and development. This study aimed to identify, characterize, and compare the phytochemical and bioactive profiles of methanolic and ethanolic extracts of Pemphis acidula using LC–MS/MS and GC–MS to determine which solvent yields richer bioactive composition. Leaf samples were collected and authenticated at Herbarium Bogoriense (BRIN). The dried powders were extracted with methanol or ethanol by triple maceration for 24 hours, and filtrates were evaporated under reduced pressure. Crude extracts were analyzed using LC–MS/MS (UPLC-QTOF, ESI ±) and GC–MS; compound identification employed UNIFI software referencing the Waters Traditional Medicine Library and Wiley 275 database. The results showed that LC–MS/MS identified 25 compounds in methanolic and 49 in ethanolic extracts, while GC–MS detected 13 and 19 compounds, respectively, with quality matches ≥90%. These compounds comprised alkaloids, flavonoids, phenols, polyphenols, and terpenoids with antioxidant, anti-inflammatory, antibacterial, antiviral, and anticancer activities. Eleven non-volatile compounds were identified in both extracts, namely kaempferol-3-glucuronide, desmanthin, quercetin-3-O-α-D-glucuronide, quercetin-3-O-glucuronide 6″-methylester, ellagic acid, Z-ligustilide, melazolide A, cimicifugic acid B, vellerdiol, 5,6,7,7α-tetrahydro-4,4,7α-trimethyl-2(4H)-benzofuranone, and farnesyl acetate and seven volatile compounds were identified in both extracts, i.e. supraene, hexadecanoic acid methyl ester, loliolide, 9,12-octadecadienoic acid (Z,Z)-methyl ester, phytol, 9-octadecenoic acid, and tocopherol. In conclusion, Pemphis acidula extracts contain bioactive compounds with medicinal potential, and ethanol extract yielded a broader phytochemical profile than methanol’s.
Optimalisasi Akreditasi Perguruan Tinggi dengan Orkestrasi Business Intelligence Berbasis K-Means dan OLAP Sakinah, Putri; Eko Syaputra, Aldo; Rahman, Zumardi; Fajri, Muhammad; Fatwa Rachmansyah, Haikal
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1443

Abstract

University accreditation is a key indicator in assessing the quality and competitiveness of higher education institutions. A high accreditation score reflects strong academic standards, institutional competitiveness, and trust from students, industry, and government. However, the accreditation process is highly complex as it involves multiple aspects, such as curriculum, student performance, faculty competence, as well as the quality of research and community service. Universities often face challenges in managing, analyzing, and presenting academic data systematically, which results in suboptimal strategic decision-making for improving accreditation. The limited use of Business Intelligence (BI) in academic data analysis reduces the effectiveness of identifying the main factors influencing institutional performance. This study aims to develop an academic analysis model based on BI by integrating K-Means Clustering to group academic performance according to specific patterns, Silhouette Score to evaluate clustering quality, and Online Analytical Processing (OLAP) to present academic data in an interactive multidimensional form. The research data were obtained from the Institute for Quality Assurance and Educational Development (LPPPM), covering faculty, student, research, and community service data, as well as other accreditation indicators. The research method includes data collection and preprocessing, application of K-Means for clustering, evaluation using Silhouette Score, and the development of an OLAP dashboard for exploring academic data across relevant accreditation dimensions. The results of the study show that the K-Means method with k = 2 produces the most optimal grouping of study program academic performance based on the highest Silhouette Score value, which is then successfully visualized multidimensionally through OLAP to clarify the distribution, patterns, and differences in characteristics between clusters in an interactive dashboard.
Pendekatan Al-Qur’an, Hadis, dan Bahasa Keagamaan dalam Bimbingan Perkawinan di KUA Panyabungan Utara: Perspektif Manajemen Dakwah Azhar, Jamalul; Batubara, Hafsah Juni; Tama, Annisa; Nur, Hakimah; Hidayat, Rahmat; Sari, Nurlela; Huda, Nurul; Wardah, Siti; Sakinah, Putri; Yunus, Muhammad
Kartika: Jurnal Studi Keislaman Vol. 6 No. 1 (2026): Kartika: Jurnal Studi Keislaman (Februari)
Publisher : Lembaga Pendidikan Tinggi Nahdlatul Ulama (LPT NU) PCNU Kabupaten Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59240/kjsk.v6i1.755

Abstract

This study aims to analyze the approaches of the Qur’an, Hadith, and the use of religious language in marriage guidance at KUA Panyabungan Utara from the perspective of da'wah management. This research employs a qualitative method with a descriptive approach through interviews, observations, and documentation. The findings indicate that the Qur’an and Hadith serve as the primary foundations in delivering the material, while religious language is adapted to the social conditions of prospective brides and grooms to ensure it is communicative and easily understood. The implementation of guidance has applied da'wah management functions, including planning, organizing, implementation, and evaluation, thereby contributing to improving the spiritual and social readiness of prospective couples. The da'wah management perspective reveals how theological messages are designed and conveyed effectively to address psychological and sociological aspects of society. The novelty of this study lies in the synthesis of normative values and the managerial functions of KUA as a structured da'wah institution, with religious language acting as a persuasive medium. These findings are expected to offer an innovative model for marriage guidance based on religious rhetoric and local wisdom
Simulasi Navigasi Robot Labirin Menggunakan Algoritma Depth-First Search pada Platform Webots Fajri, Muhammad; Sakinah, Putri
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 1 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v6i1.1619

Abstract

Autonomous Mobile Robot (AMR) merupakan cabang robotika yang memungkinkan robot berjalan dan menavigasi diri tanpa intervensi secara langsung dari manusia. Salah satu komponen penting dalam pengembangan robot ini ialah path planning, yaitu kemampuan robot dalam menentukan jalur yang akan dilaluinya. Penelitian ini bertujuan untuk menguji kemampuan algoritma Depth First Search (DFS) dalam membantu robot menavigasi diri menyelesaikan arena labirin. Algoritma DFS diimplementasikan dalam robot e-puck menggunakan simulator Webots. Robot akan diuji untuk menyelesaikan lima arena labirin yang berbeda. Hasil simulasi menunjukkan bahwa algoritma DFS mampu membantu robot dalam menyelesaikan seluruh arena labirin. Dalam implementasinya, algoritma DFS dapat menggunakan dua strategi penelusuran yang berbeda, yaitu strategi prioritas kanan dan prioritas kiri. Pada penelitian ini, strategi prioritas kanan unggul 1548,29 detik lebih cepat dalam menyelesaikan seluruh labirin dibandingkan strategi prioritas kiri.
The Effect of Fatigue and Job Stress on Turnover Intention with Emotional Intelligence as a Moderating Variable (A Case Study at the Bank Syariah Indonesia Office, Palu City) Sakinah, Putri; Sari, Yoberth Kornelius; Sari, Wiri Wirastuti; Sari, Muh. Riswandi Palawa
JURNAL MANAJEMEN MOTIVASI Vol 22 No 2 (2026): Jurnal Manajemen Motivasi
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/jmm.v22i2.9211

Abstract

This study examines the effect of job fatigue and job stress on turnover intention, with emotional intelligence as a moderating variable among employees of Bank Syariah Indonesia in Palu City. This associative quantitative study used primary data from 54 respondents analyzed using SEM-PLS. The results show that job fatigue and job stress have a significant positive effect on turnover intention. Emotional intelligence significantly moderates this relationship, strengthening the effect of fatigue but weakening job stress. Consequently, improving emotional intelligence is crucial for suppressing turnover intention and improving human resource stability in the banking sector. Keywords: Burnout; Work Stress; Turnover Intention; Emotional Intelligence
Co-Authors Acihmah Sidauruk Adi Arga Arifnur Afdhal Dinilhak Afrianto, Nurdi Ahmad Fathoni Al Ghifari, Ryan Al-Obaidi, Abdulkareem Sh. Mahdi Aldo Eko Syaputra Almaly, Muhammad Andini, Dhiya Safira Anggi Hadi Wijaya Arbi Yasin, Arbi Asep Bayu Dani Nandiyanto Asti, Ajeng Dwi Astuti, Asita Puji Ayun, Aisyah Qurrata Azhar, Jamalul Azizah, Tiara Budi Permana Putra Budy Satria Candra Surya Dewi, Mauseni Wantika Dian Usdiyana Diningsih, Suci Marta Dwi Asti, Ajeng Ernawati Sinaga Fahreri, Humayra Fatwa Rachmansyah, Haikal Fauzi, Fajar Miraz Fiandini, Meli Fitri Wahyuni Hafsah Juni Batubara Hamandia, Muhammad Hariani Manurung, Kiki Hayati, Nova Hendra, Yomei Herliani, Aprida Hertimi, Sri Khairi, Luthfil Khairuno, Rehan Lia Mirani Lidya Ningsih Liga Mayola Mahyuni, Siska Rita Maidelwita, Yani Marjanah, Marjanah Maulana, Fajar Muhammad Fajri Muhammad Thoriq Muhammad Yunus Murni, Aprilia Nur, Hakimah Nurfiah Nurfiah, Nurfiah Nurhapsari, Tiara Nurul Huda Putri, Sherly Ananda Ragadhita, Risti Rahman, Arifan Rahman, Zumardi Rahmat Hidayat Rahmi Eka Putri Rahmi Eka Putri, Rahmi Eka Rahmi, Siti Fadhilah Rina Maryanti Rini Rahmayanti Santiuly Girsang, Gabriela Chelvina Sari, Muh. Riswandi Palawa Sari, nurlela Sari, Wiri Wirastuti Sari, Yoberth Kornelius Siti Rodhiyah, Siti Siti Wardah, Siti Sri Anggraeni Suhaimi Suhaimi Syauqi, Muhammad Dawi Tama, Annisa Thoriq, Muhammad Wahyudi Wahyudi Wahyudi Zamora, Sasya