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All Journal JURNAL SAINS PEMASARAN INDONESIA JUITA : Jurnal Informatika Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Sinkron : Jurnal dan Penelitian Teknik Informatika Syntax Literate: Jurnal Ilmiah Indonesia Indonesian Journal of Information System JEM17: Jurnal Ekonomi Manajemen ILKOM Jurnal Ilmiah Jurnal Informatika Global MBIA Jurnal Mantik Jurnal Abdimas Mandiri Jurnal Ilmiah Edunomika (JIE) Management Studies and Entrepreneurship Journal (MSEJ) Enrichment : Journal of Management Community Development Journal: Jurnal Pengabdian Masyarakat GEMA : Jurnal Gentiaras Manajemen dan Akuntansi Journal of Computer Networks, Architecture and High Performance Computing Jurnal Ilmu Sosial, Manajemen, Akuntansi dan Bisnis Jurnal Media Ekonomi International Journal of Community Service & Engagement International Journal of Marketing and Human Resource Research Ekonomica Sharia: Jurnal Pemikiran dan Pengembangan Ekonomi Syariah Bima Journal : Business, Management and Accounting Journal JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Madani: Jurnal Pengabdian Ilmiah. Golden Ratio of Data in Summary Jurnal Saintifik Jurnal Pengabdian West Science Jurnal Software Engineering and Computational Intelligence
Juhaini Alie
Program Studi Magister Manajemen Universitas Indo Global Mandiri
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Improving Information Security with Machine Learning Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari; Juhaini Alie
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3317

Abstract

The study Improving Information Security with Machine Learning explores the fusion of machine learning methodologies within information security, aiming to fortify conventional protocols against evolving cyber threats. By conducting a comprehensive literature review and empirical analysis, this scholarly endeavor highlights the efficacy of machine learning in anomaly detection, threat identification, and predictive analytics within security frameworks. Through practical demonstrations, such as z-score-based anomaly detection in network traffic data and NLP-based email security systems, the study illustrates the practical applications of machine learning techniques. Additionally, it delves into the mathematical underpinnings of predictive analytics and the architecture of neural networks for malware detection. However, while showcasing the transformative potential of machine learning, the study also confronts significant challenges. Ethical, legal, and privacy considerations emerge prominently, emphasizing the need for regulations addressing algorithmic biases, ethical dilemmas, and data protection. Moreover, the study emphasizes the practical challenges of scalability, interpretability, continual adaptation to evolving threats, and the harmonious interaction between human expertise and machine intelligence. By offering practical recommendations and future research directions, this scholarly exploration aims to empower researchers, practitioners, and policymakers in navigating the complex intersection of machine learning and information security, thereby fostering innovation and comprehension in this evolving domain.
Analisis Distribusi Cpo (Crude Palm Oil) di PT Pinago Utama Tbk Palembang Linda Linda; Juhaini
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v8i11.13885

Abstract

Distribution channel is an important factor in increasing production and sales in a company. Selection of the right distribution channel is the spearhead of a company's success. PT Pinago Utama Tbk is a company engaged in the oil palm and rubber plantations. In its production activities, PT Pinago Utama Tbk uses direct distribution channels. The purpose of this research is to overcome the distribution channel barriers at PT Pinago Utama Tbk in order to increase the company's production and sales and implement the solutions obtained to increase the company's production and sales. The research method used is a qualitative method through in-depth interviews (In-depth Interview). Data collection was carried out by interviewing company management and expert judgment. After that an analysis was made based on the results of the interviews conducted. Based on the results of interviews and SWOT analysis, it was found that the distribution channel has internal and external obstacles. Internal obstacles in the form of existing human resources, external obstacles come from third parties. Based on the analysis carried out, it is necessary to reshuffle the existing human resources at PT Pinago Utama Tbk and the need for communicative collaboration with third parties.
K-NN Based Air Classification as Indicator of the Index of Air Quality in Palembang Sanmorino, Ahmad; Alie, Juhaini; Ariati, Nining; Wulanda, Sanza Vittria
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11469

Abstract

Good air quality is something that is wanted by every human who lives in big cities. Clean air and no pollution is one of the proper environmental requirements. One of the most severe causes of air pollution is due to large-scale forest fires due to the long dry season or is carried out by irresponsible persons which they commonly refer to as land clearing in an easy and inexpensive way by utilizing the reason of the dry season. The purpose of this study is to classify air quality in Palembang using a data mining approach. Then use the results of the classification as an indicator of the level of air quality in the city of Palembang. The data mining approach that researchers use is the K-Nearest Neighbor algorithm. Based on the test results of K-NN calculations and measured using a confusion matrix produce an accuracy of 80 percent, 82.3 percent for precision, and 93.3 percent for recall. The measurement results show that the calculation using the K-NN algorithm can be used as an indicator in measuring air quality, of the 20 that have been trained and tested only 4 inaccurate data, this inaccuracy occurs because the source data has unbalanced classes such as unhealthy and very unhealthy healthy have 1 sample each. So it proves that the performance of classifiers using the K-NN algorithm relevant as an indicator of air quality levels in the city of Palembang.
Analisis Efektivitas Distribusi Semen Baturaja ke Pontianak Valentika, Chindhi Putri; Alie, Juhaini; Ali, Marzuki
Jurnal Sains Pemasaran Indonesia (Indonesian Journal of Marketing Science) Vol 23, No 2 (2024): September
Publisher : Master of Management Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jspi.v23i2.173-190

Abstract

Penelitian ini bertujuan untuk mengetahui tingkat efektivitas distribusi dan menganalisis hambatan dalampencapaian efektivitas distribusi Semen Baturaja ke Pontianak. Penelitian ini merupakan penelitiankualilatif dengan menggunakan metode eksplanatory (explanatory research) serta melakukanpengumpulan data, reduksi data, penyajian data, verifikasi dan menarik kesimpulan sebagai teknikanalisis data. Informan dalam penelitian ini terdiri dari: informan kunci internal, informan kuncieksternal, informan ahli, dan informan insidentil.Hasil penelitian menunjukan bahwa distribusi Semen Baturaja ke Pontianak sudah berjalan dengan lancarbelum mencapai efektivitas. Distributor yang handal akan mendukung lancarnya distribusi. Distributoryang handal memiliki faktor pendukung seperti jejaring mitra yang luas, kondisi keuangan yang baik, dangudang yang luas. Sehingga pencapaian tepat waktu, tepat biaya, dan tepat kualitas, serta terwujudnyaefektivitas distribusi. Dan diharapkan pengelolaan faktor tersebut dapat dioptimalkan dalam rangka mencapai efektivitas distribusi dalam perusahaan Semen Baturaja.
PENGARUH LEADER MEMBER EXCHANGE (LMX) DAN KOMITMEN ORGANISASI TERHADAP KINERJA DAN KEPUASAN KERJA TENAGA PENDIDIK (GADIK) SEKOLAH POLISI NEGARA KEPOLISIAN DAERAH SUMATERA SELATAN Romadlona, Ariatna; Alie, Juhaini
JURNAL ILMIAH EDUNOMIKA Vol 8, No 4 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i4.15513

Abstract

This research aims to determine the influence of Leader Member Exchange (LMX) and Organizational Commitment on the performance and job satisfaction of Educators (GADIK) at SPN Betung Polda SUMSEL. This research uses the path analysis method with data processing techniques using regression. The test results prove that: 1) The results of this research prove that LMX (Leader Member Exchange) has a positive effect on the performance of Educators (GADIK) at SPN Betung Polda SUMSEL, 2) LMX (Leader Member Exchange) has a positive effect on job satisfaction., 3) organizational commitment has a positive effect on the performance of Educators (GADIK) at SPN Betung Polda SUMSEL, 4) organizational commitment has a positive effect on job satisfaction, 5) LMX (Leader Member Exchange) for Educators (GADIK) at SPN Betung Polda SUMSEL has a positive effect on commitment organization, 6) the results of the analysis of the influence of mediation using path analysis, in testing the influence of LMX (Leader Member Exchange) on job satisfaction with organizational commitment as a mediator, it was concluded that the resulting mediation coefficient had a positive and significant effect, which means that organizational commitment is a mediating factor in the relationship between LMX and job satisfaction, 8) the influence of LMX (Leader Member Exchange) on the performance of Educators (GADIK) with organizational commitment Keywords: Leader Member Exchange (LMX), Organizational Commitment, performance and job satisfaction of Educators (GADIK)
Improving Information Security with Machine Learning Sanmorino, Ahmad; Gustriansyah, Rendra; Puspasari, Shinta; Alie, Juhaini
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3317

Abstract

The study Improving Information Security with Machine Learning explores the fusion of machine learning methodologies within information security, aiming to fortify conventional protocols against evolving cyber threats. By conducting a comprehensive literature review and empirical analysis, this scholarly endeavor highlights the efficacy of machine learning in anomaly detection, threat identification, and predictive analytics within security frameworks. Through practical demonstrations, such as z-score-based anomaly detection in network traffic data and NLP-based email security systems, the study illustrates the practical applications of machine learning techniques. Additionally, it delves into the mathematical underpinnings of predictive analytics and the architecture of neural networks for malware detection. However, while showcasing the transformative potential of machine learning, the study also confronts significant challenges. Ethical, legal, and privacy considerations emerge prominently, emphasizing the need for regulations addressing algorithmic biases, ethical dilemmas, and data protection. Moreover, the study emphasizes the practical challenges of scalability, interpretability, continual adaptation to evolving threats, and the harmonious interaction between human expertise and machine intelligence. By offering practical recommendations and future research directions, this scholarly exploration aims to empower researchers, practitioners, and policymakers in navigating the complex intersection of machine learning and information security, thereby fostering innovation and comprehension in this evolving domain.
Pengaruh Gaya Kepemimpinan Transaksional dan Motivasi Kerja Terhadap Kinerja Guru di Sma Negeri 6 Palembang Putri, Melia Sari Onika; Alie, Juhaini; Roswaty
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 11 No. 2 (2025): April 2025
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v11i2.3969

Abstract

This study aims to analyze and determine the effect of Transactional Leadership style and work motivation on teacher performance at SMA Negeri 6 Palembang. The Transactional Leadership style emphasizes reciprocal relationships between leaders and subordinates through a system of rewards and supervision, while work motivation serves as the primary driving force influencing teacher productivity. A quantitative approach was used in this study, with primary data collected through questionnaires and interviews. The sample consisted of 75 teachers at SMA Negeri 6 Palembang. Data analysis was conducted using SPSS V27 software, which included validity and reliability tests, classical assumption tests, multiple regression analysis, and hypothesis testing. Based on the t-test results, both transactional leadership style and work motivation have a positive and significant effect on teacher performance, with a significance value of 0.001 < 0.05. Furthermore, based on the F-test results, both transactional leadership style and work motivation simultaneously have a significant effect on teacher performance at SMA Negeri 6 Palembang, with a significance value of 0.00 < 0.05.
Pengaruh Kualitas Produk Dan Dimensi Kualitas Pelayanan Terhadap Keputusan Nasabah Dalam Pengambilan Kredit Pegawai Aktif Di BPR Puskopat Palembang Nadinta Ardianty; Juhaini Alie; Muhammad Wadud
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 2 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i2.7122

Abstract

Tujuan dalam penelitian ini secara khusus untuk mendapatkan hasil analisis pengaruh variabel kualitas produk, berwujud, keandalan, ketanggapan, jaminan dan empati terhadap keputusan pengambilan kredit pegawai aktif di BPR Puskopat Palembang secara parsial ataupun simultan. Metode yang digunakan adalah metode penelitian kuantitatif. Pengumpulan data lapangan menggunakan kuesioner. Populasi penelitian adalah nasabah kredit pegawai aktif di BPR Puskopat Tahun 2023 sebanyak 215 nasabah. Sampel digunakan sebanyak 140 responden. Pengolahan data menggunakan tools SPSS 27. Pengujian data menggunakan uji t, bahwa secara parsial kualitas produk tidak berpengaruh terhadap keputusan pengambilan kredit pegawai aktif dengan t hitung 0,577 < t tabel 1,97796, terdapat pengaruh berwujud terhadap keputusan pengambilan kredit pegawai aktif dengan t hitung sebesar 5,955 > t tabel 1,97796, keandalan mempengaruhi keputusan pengambilan kredit pegawai aktif dengan t hitung sebesar 2,080 > t tabel 1,97796. Terdapat pengaruh ketanggapan terhadap keputusan pengambilan kredit pegawai aktif dengan t hitung sebesar 3,589 > t tabel 1,97796, terdapat pengaruh jaminan terhadap keputusan pengambilan kredit pegawai aktif dengan t hitung sebesar 4,610 > t tabel 1,97796. Empati mempengaruhi keputusan pengambilan kredit pegawai aktif dengan t hitung sebesar 7,579 > t tabel 1,97796 dan kualitas produk, berwujud, keandalan, ketanggapan, jaminan dan empati berpengaruh terhadap keputusan pengambilan kredit pegawai aktif dengan F hitung 23,671 > F tabel 2,28. Peningkatan kualitas pelayanan perlu dilakukan guna untuk membuat nasabah tertarik akan produk kredit di BPR Puskopat Palembang.
Pengaruh Kualitas Produk Kredit Dan Kualitas Layanan Terhadap Kepuasan Nasabah Pt Bank Perkreditan Rakyat Sumatera Selatan. Tiara Yudianita; Juhaini Alie; Tien Yustin
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 2 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i2.7302

Abstract

Penelitian ini bertujuan untuk mengetahui Pengaruh Kualitas Produk Kredit dan Kualitas Layanan Terhadap Kepuasan Nasabah Bank BPR Sumsel 2024. Rancangan penelitian menggunakan metode kausalitas dengan Teknik analisis data Regresi Linear Berganda. Objek penelitian adalah Nasabah aktif Bank BPR Sumsel sebanyak 100 orang yang berasal dari Tiga Kantor Cabang Operasional. Metode pengumpulan data yang penulis gunakan dalam penelitian ini adalah dengan menggunakan Kuesioner yang dilaksanakan secara teknis melalui Google Form (Online). Hasil penelitian menunjukkan bahwa Kualitas Produk Kredit dan Kualitas Layanan Perbankan berpengaruh secara Positif dan Signifikan Terhadap Kepuasan Nasabah Bank BPR Sumsel. Selanjutnya Diantara ke-dua Variabel Independen dalam penelitian ini, kualitas produk kredit dan kualitas layanan perbanakan, Variabel yang memiliki pengaruh lebih dominan terhadap Kepuasan Nasabah adalah Variabel Kualitas Layanan Perbankan.
Pengaruh Content Mareting Terhadap Online Engagement Nasabah Pada Akun Instagram Maybank Indonesia Dewi Agnesia; Muhammad Wadud; Juhaini Alie; Tien Yustini
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 6 No. 2 (2025): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v6i2.7338

Abstract

Tujuan penelitian ini adalah untuk mendapatkan hasil analisis pengaruh content marketing terhadap online engagement pada akun Instagram Maybank Indonesia secara parsial juga simultan. Dalam penelitian ini jumlah populasi adalah sebanyak 55.700 orang dimana 100 orang dari populasi dijadikan sampel. Pengolahan data menggunakan tools analisis spss 27 dan menggunakan Teknik analisis regresi linear berganda. Hasil penelitian dengan menggunakan uji t secara parsial menunjukkan bahwa relevansi content tidak berpengaruh terhadap online engagement dengan t- hitung 1.734 < t-tabel 1.985, akurasi content juga tidak terdapat pengaruh signifikan terhadap online engagement dengan t-hitung -1.125 < t-tabel 1.985, terdapat pengaruh siginifikan dari konten yang bernilai terhadap online engagement dengan t-hitung2.090 > t-tabel 1.985, terdapat pengaruh signifikan dari variable aksesibilitas content terhadap online engagement dengan t-hitung 3.672 > t-tabel sebesar 1.985 dan terdapat pengaruh konsistensi content terhadap online engagement dengan t-hitung 1.989 > t- tabel 1.985, content marketing memiliki pengaruh terhadap online engagement dengan t-hitung 4.688 > t-tabel sebesar 1.985 Hasil penelitian pada uji F (simultan) menunjukkan bahwa secara bersama-sama variable relevansi content, akurasi content, konten yang bernilai, aksesibilitas content, konsistensi content dan content marketing berpengaruh signifikan terhadap online engagement pada akun Instagram Maybank Indonesia dengan f hitung 126,682 > f tabel sebesar 2.20. Pada dasarnya content marketing harus ambil bagian dalam peningkatan online engagement nasabah meskipun sudah dipengaruhi oleh variabel seperti relevansi content, akurasi content, konten yang bernilai, aksesibilitas content dan konsistensi content.
Co-Authors Ahmad Sanmorino Akbar , M. Alif Aldi, Muhammad Rahmad Ali, Marzuki Alsha, Muhammad Raffy Anugra Amrina Rosyada Anggi Prissilia Ariati, Nining Aris Munandar Bekti Setiadi Callistasari, Nidia Putri Darma, Mgs. Prima Delvi Rahma Novianti Deninta, Dinda Dwi Dewi Agnesia Dwi Fury Maulina Dwi Utami, Della Edi Susanto Endah Dewi Purnamasari Fahlevie, Recja Fitriani Fitriani Ghina, Aliah Godlyfe Smarthene Ryck Hawai Hamid Halin HASANAH, Nabila Irawan Irawan Jefirstson Richset Riwu Kore Jefirstson Richset Riwukore Jefirstson Richset Riwukore John Roni Coyanda Jurlinda Jurlinda Krisman B Riwu Kore Lazuarni, Shafiera Lestari, Yeyen Linda Linda Luis Marnisah Luis Marnisah Luis Marnisah Riwukore M. Fadhil Ramadhan Nurbani M. Hafis Erlangga Manafe, Graendy Zimrat Marnisah, Luis Megat Norulazmi Megat Mohamed Noor Meilin Veronica Muhammad Haviz Irfani Muhammad Kurniawan DP Muhammad Muhardeny Nadinta Ardianty Nazori Suhandi Oscar, Jimmi Pratiwi , Imanda Ajeng Putra, Prima Darma Putri, Melia Sari Onika Rapiudinsyah, Ahmad raudatul jannah Rendra Gustriansyah Riwu Kore, Firda R Riwu Kore, Jefirstson R Romadlona, Ariatna Roswaty Roswaty Roswaty Rudi Heriansyah Russela, Russela Sabina, Veni Allya Sandys Vena Ade Putri Hattu Saputra, Muh Febrianto Ello Sarman, Ardiansyah Sartika, Dewi Saskia Maharani Septiana Septiana Shinta Puspasari Siska Wulandari, Siska Siti Komariah Hildayanti Siti Komariah Hildayanti Siti Ulfa Ridayani Sofi Tamara Sukesih, Ade Ayu Suwirya Tjandra Syabitha, Fidya Nur Tabrani Tabrani Tampubolon, Miranda Roulina Tiara Yudianita Tien Yustin Tien Yustini Tien Yustini Tien Yustini Tien Yustini, Tien Tri Maradona Fajar Putra Tsabita, Putri Valentika, Chindhi Putri Veronica, Meilin Veronika, Meilin Wadud, Muhammad Wulanda, Sanza Vittria Yogi Darminto Yogie Ardiwinata, Yogie Yosef Ekliopas Ishak Rohi