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All Journal Buletin Peternakan Sistemasi: Jurnal Sistem Informasi Resona : Jurnal Ilmiah Pengabdian Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) JIEB : Jurnal Ilmiah Ekonomi Bisnis Jurnal Pengabdian UNDIKMA Jurnal Teknik Mesin Sinergi Journal of Artificial Intelligence and Digital Business Jurnal MediaTIK Media Keperawatan: Politeknik Kesehatan Makassar
Rezky, Muhammad
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PERANCANGAN DAN IMPLEMENTASI SISTEM MONITORING PEGAWAI PADA DINAS PERHUBUNGAN PROVINSI SUMATERA SELATAN BERBASIS MOBILE Rezky, Muhammad; Syah, Ferdian
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 7 No 2 (2023)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v7i2.3500

Abstract

Pelaksanaan tugas lapangan oleh pegawai Dinas Perhubungan Provinsi Sumatera Selatan yang tersebar di lokasi yang berbeda menjadi kendala dalam proses monitoring yang dilakukan oleh pimpinan. Hal ini menyebabkan monitoring kinerja pegawai menjadi kurang efektif dan berpotensi mengakibatkan kurangnya kedisiplinan pegawai dalam menjalankan tugas yang berada di lapangan, karena tidak ada pengawasan secara langsung dari kepala bidang. Keadaan ini juga memungkinkan terjadinya pelanggaran yang tidak terdeteksi secara tepat waktu. Melihat permasalahan tersebut, maka solusinya adalah sebuah sistem monitoring pegawai yang dapat mencatat keberadaan pegawai ketika bertugas di lapangan. Pada penelitian ini metode yang digunakan adalah metode waterfall, yang mana merupakan metode pengembangan yang pelaksanaannya dilakukan dengan cara yang bertahap sehingga meminimalisir kesalahan yang mungkin akan terjadi. Hasil akhir dari penelitian ini adalah menghasilkan sistem informasi monitoring pegawai Dinas Perhubungan Provinsi Sumatera Selatan Bagian Lalu Lintas berbasis mobile yang dapat mempermudah dalam mencatat keberadaan pegawai ketika bertugas di lapangan.
PENGARUH BAURAN PEMASARAN TERHADAP KEPUTUSAN MAHASISWA DALAM PENGGUNAAN APLIKASI MOBILE TRANSPORTASI ONLINE Sjamsi, Nurus; Rezky, Muhammad
Jurnal Ilmiah Ekonomi Bisnis Vol 6 No 3 (2020): JURNAL ILMIAH EKONOMI BISNIS
Publisher : Jurnal Ilmu Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35972/jieb.v6i3.352

Abstract

Penelitian ini bertujuan untuk Untuk mengetahui dan menganalisis pengaruh bauran pemasaran terhadap keputusan mahasiswa dalam penggunaan aplikasi mobile transportasi online. Metode analisis data menggunakan analisis regresi linear berganda dengan Jenis penelitian yang digunakan adalah penelitian korelasional. Penelitian ini dilakukan terhadap 80 orang mahasiswa STIE Pancasetia Banjarmasin. Hasil penelitian menunjukan bahwa bauran pemasaran berpengaruh signifikan terhadap keputusan pembelian aplikasi mobile transportasi online. secara parsial variabel bauran pemasaran produk, distribusi, promosi, proses dan orang mempengaruhi terhadap keputusan pembelian, sedangkan variabel price harga dan fasilitas fisik tidak mempengaruhi dalam melakukan keputusan pembelian pada aplikasi mobile transportasi online. variabel yang berpengaruh paling dominan di antara variabel lain terhadap keputusan pembelian yaitu produk.
Perencanaan Pembangkit Listrik Tenaga Surya (PLTS) pada Atap Kantor PT. Sinopacific Peralatan Indonusa Makassar dengan Sistem Hybrid Irma Aryanti, Andi; Angel, Chaerani; Rezky, Muhammad; Shiddiq Yunus, A.M; Nur, Dahlia; Yanafirana, Yanafirana
Jurnal Teknik Mesin Sinergi Vol 22 No 1 (2024): April 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/sinergi.v22i1.5000

Abstract

Kebutuhan energi dari tahun ke tahun semakin meningkat seiring dengan berkembangnya teknologi dan industri. Hanya saja, saat ini energi yang digunakan sebanyak 80% masih menggunakan energi konvensional yang tidak dapat diperbaharui dan tidak ramah lingkungan. Jika tidak ditangani, kemungkinan akan terjadi krisis energi. Inovasi energi alternatif dari sumber terbarukan sangatlah diperlukan, untuk memenuhi kebutuhan energi salah satunya adalah Pembangkit Listrik Tenaga Surya (PLTS). Energi dari sinar matahari dapat dimanfaatkan sebagai energi pembangkit listrik. Hal ini dilakukan ketika matahari menyinari panel surya, cahaya ini kemudian akan diserap. Bagian di panel surya yang menyerap energi matahari ini adalah photovoltaic atau PV. Efek ini kemudian akan menciptakan muatan listrik. Di kawasan kota berpotensi besar dikembangkannya Pembangkit Listrik Tenaga Surya dengan sistem hybrid yang diaplikasikan di atap bangunan. Dengan menggunakan teknik pengumpulan data berupa metode wawancara dan observasi serta pengukuran yang selanjutnya diperhitungkan dengan rumus, menggunakan software simulasi untuk mendesain sistem PLTS menggunakan PVsyst, memperoleh Detail Engineering Design (DED) dan software Homer Pro yang akan digunakan untuk mengetahui estimasi biaya produksi energi listrik yang dihasilkan.
Risiko Cyberbullying di Instagram: Studi Persepsi Mahasiswa Terhadap Risiko, Pengalaman, dan Regulasi Pencegahannya: Risk of Cyberbullying on Instagram: A Study of Students' Perceptions of Risks, Experiences, and Preventive Regulations Rezky, Muhammad; Ilmi, Nurul; Nurjannah, Elma; Andi Dio Nurul Awalia; Haris
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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

Abstract

Cyberbullying di Instagram telah menjadi masalah yang semakin mengkhawatirkan dalam beberapa tahun terakhir. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor penyebab cyberbullying di platform tersebut serta dampaknya terhadap kondisi psikologis pengguna, khususnya di kalangan mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional. Data dikumpulkan melalui kuesioner yang diisi oleh 100 mahasiswa dari jurusan Teknik Informatika dan Komputer yang memiliki pengalaman terkait cyberbullying. Instrumen penelitian menggunakan skala Likert untuk mengukur persepsi responden mengenai berbagai bentuk dan dampak cyberbullying. Hasil penelitian menunjukkan bahwa penggunaan media sosial yang berlebihan, norma sosial di kalangan pengguna, dan kecanduan terhadap media sosial berkontribusi terhadap munculnya perilaku cyberbullying. Selain itu, sebagian besar responden melaporkan dampak psikologis negatif akibat pengalaman tersebut. Penelitian ini menyarankan pentingnya regulasi yang lebih ketat dari platform media sosial dan edukasi etika komunikasi untuk mengurangi dampak negatif cyberbullying. Penelitian ini berkontribusi dalam memahami keterkaitan antara norma sosial, penggunaan media sosial, dan etika komunikasi dalam upaya pencegahan cyberbullying di Instagram, serta merekomendasikan pendekatan edukatif untuk meningkatkan kesadaran akan dampak psikologis cyberbullying, khususnya di kalangan mahasiswa Teknik Informatika.
Competitiveness and Impact of Government Policies on Beef Cattle Business in East Kolaka District, Indonesia: A Policy Analysis Matrix Approach Abadi, Musram; Nafiu, La Ode; Rezky, Muhammad; Gerhana, Gerhana
Buletin Peternakan Vol 49, No 2 (2025): BULETIN PETERNAKAN VOL. 49 (2) MAY 2025
Publisher : Faculty of Animal Science, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21059/buletinpeternak.v49i2.105016

Abstract

Beef is one of the main food commodities, so to realize beef self-sufficiency, the government has made many policies to realize the beef self-sufficiency program.The objective of this study was to analyze the competitiveness and impact of government policies on beef cattle in East Kolaka District, Southeast Sulawesi Province. This research was conducted in East Kolaka Districtin 2024, a total of 120 beef cattle farmers weresurveyed using systematic purposive sampling and data were analyzed using the Policy Analysis Matrix (PAM) an economic tool for evaluating competitiveness and policy effects. The respondents were obtained by applying systematic purposive sampling with survey method and analyzed with PAM. The results showed that beef cattle farming in East Kolaka Districtispersonally and socially profitable. This explains that beef cattle farming is still profitable for farmers even without government policy. This business also has competitiveness both competitively and comparatively. This can be seen from the Domestic Resource Cost Ratio (DRC) svalue of 0.59 and Private Cost Ratio (PCR) of 0.81. Government policies on outputs and inputs of beef cattle business in East Kolaka District reduce incentives for producers, are ineffective in protecting production and cause higher production costs compared to potential profits without these policies
Pendampingan Pengelolaan Bank Sampah di Kelurahan Karang Asam Ulu Kota Samarinda : Optimalisasi Manajemen Keuangan dan Pengolahan Sampah Puspitasari, Novianti; Suryadi, Ahmad; Sandyanegara, Aryasena Bela; Nursari, Ayla; Pusparini, Faradilla; Rezky, Muhammad; Kalista, Nazwa Nur Maulida Qintani; Rahayu, Rizqi Widya; Gunawan, Santika; Wijaya, Zhienka Putri
Jurnal Pengabdian UNDIKMA Vol. 5 No. 2 (2024): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i2.5990

Abstract

This service activity aims to optimize the management of financial transactions at waste banks by increasing the knowledge of waste bank officers. Apart from that, this activity also seeks to help the community in handling and processing waste into products that are valuable and beneficial for the environment. The method for implementing this activity uses persuasive mentoring and socialization with stages of preparation, socialization, implementation, and evaluation. This activity was attended by 30 participants consisting of family representatives and women who manage the waste bank in Karang Asam Ulu Village. The evaluation instrument for this service activity is in the form of distributing questionnaires and analyzing them descriptively. The results of this service show that the knowledge of the women managing the Ramli "Sylva Lestari" waste bank regarding financial transaction management has increased and they can record transactions correctly. This activity has also succeeded in getting the community to produce bokashi soap and fertilizer from recycled household waste, so it is hoped that it will improve the community's economy.
PEMBERDAYAAN PEREMPUAN KELOMPOK TERNAK GUNA MENGINTEGRASIKAN SAMPAH RUMAHAN DENGAN MAGGOT BSF UNTUK MEMAKSIMALKAN PAKAN ALTERNATIF Triadi, Feby; A., M. Awaluddin; Bonewati, Yulia Irwina; Rezky, Muhammad; Faidzaturrahmah, Nur; Ashshiddiqy, Hasbi; Irfandinata, Irfandinata
RESONA : Jurnal Ilmiah Pengabdian Masyarakat Vol 8, No 2 (2024)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) Universitas Muhammadiyah Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35906/resona.v8i2.2190

Abstract

Pemberdayaan perempuan kelompok ternak yang ada di Kempompok Ternak Batara Deceng ingin memberikan dampak yang baik terhadap pendapatan baik secara ekonomi maupun secara linkungan pada peternakan ayam petelur. Bertempat di Desa Kajaolaliddong Kabupaten Bone, pemberdayaan ini bertujuan untuk memberikan bimbingan kepada perempuan atau ibu-ibu peternak guna menyuplai bahan pakan Maggot BSF bagi peternakan ayam petelur mereka. Program ini menggunakan metode Participatory Action Research (PAR). Hasil dari kegiatan pengabdian ini menunjukkan bahwa program pemberdayaan berdampak positif pada peningkatan pendapatan dan kesejahteraan masyarakat. Para peternak yang sebelumnya terjebak pada peningkatan harga pakan yang kian massif, kini mampu berdiri di kaki sendiri untuk hasil telur yang memuaskan. Tindak lanjut program ini melibatkan kegiatan pemantauan dan evaluasi yang berkelanjutan, pelatihan kompetensi, pengembangan partisipasi, dan sosialisasi literasi keuangan. Kegiatan ini juga menggarisbawahi pentingnya partisipasi aktif masyarakat dan peran pemerintah dalam mendukung pemberdayaan sehingga masyarakat dapat menjadi masyarakat yang mandiri secara ekonomi.  Abstract. The empowerment of women's livestock groups in the Batara Deceng Livestock Group aims to have a positive impact on income both economically and environmentally on laying hen farms. Located in Kajaolaliddong Village, Bone Regency, this empowerment aims to provide guidance to women or mothers of livestock farmers to supply BSF Maggot feed for their laying hen farms. This program uses the Participatory Action Research (PAR) method. The results of this community service activity show that the empowerment program has a positive impact on increasing income and community welfare. Farmers who were previously trapped in the increasingly massive increase in feed prices are now able to stand on their own two feet for satisfactory egg production. The follow-up to this program involves ongoing monitoring and evaluation activities, competency training, participation development, and financial literacy socialization. This activity also emphasizes the importance of active community participation and the role of government in supporting empowerment so that the community can become an economically independent community.
Konsep Dasar Manajemen Sumber Daya Manusia Sya'ban, Ikram Barman Maulana; Dahliani, Desi; Rezky, Muhammad; Bachtiar, Machdum
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8349

Abstract

Human Resource Management (HRM) is a key strategic element in modern organizations, functioning as a primary system for managing human capital to achieve goals effectively and efficiently. In today’s era of rapid technological change, global competition, and shifting workforce dynamics, HRM is no longer viewed as a purely administrative function. Instead, it has evolved into a proactive and strategic partner that contributes directly to organizational success. This study examines core HRM concepts, including human resource planning, recruitment, employee development, performance evaluation, compensation management, and industrial relations. Using a qualitative approach through library research, this paper draws on various academic sources, books, and journals to understand effective HRM practices. The findings show that when these HRM processes are implemented in an integrated and systematic way, they help create a workforce that is skilled, adaptable, and competitive. In addition, organizations that apply strategic HRM approaches tend to experience better productivity, stronger employee engagement, higher retention rates, and improved long-term performance. Overall, this study highlights that understanding and applying HRM principles is essential for building a positive work environment. Aligning HR strategies with organizational goals enables companies to achieve sustainable growth and remain resilient in a dynamic business environment..
Development of a Flask-based Application for Bank Customer Churn Prediction as a Decision Support Tool Wibowo, Suluh Arif; Rezky, Muhammad; Ibrahim, Ali; Afrina, Mira; Fathoni, Fathoni
Sistemasi: Jurnal Sistem Informasi Vol 15, No 4 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i4.6257

Abstract

Customer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers. This study aims to develop a web-based decision support system capable of predicting potential customer churn using the Gradient Boosting Machine (GBM) algorithm. The dataset used is the Bank Customer Churn Dataset, consisting of 10,000 customer records with 14 attributes. The research stages include exploratory data analysis and preprocessing, which involves data cleaning, categorical feature encoding, feature engineering (BalanceSalaryRatio, TenureByAge, CreditScoreGivenAge), and data balancing using SMOTE to address class imbalance. The GBM model was trained on the balanced dataset and evaluated using accuracy, precision, recall, and F1-score metrics. The evaluation results show that the model achieved an accuracy of 83.95%, with a recall of 67.32% for the churn class, indicating a strong capability in identifying customers at risk of churn. Feature importance analysis reveals that Age and NumOfProducts are the most dominant features, contributing approximately 77% to the prediction. The model was then implemented in a Flask-based web application with an HTML and CSS interface, enabling non-technical users to perform real-time churn predictions. This system is expected to assist banking institutions in designing more targeted and data-driven customer retention strategies.
Application of Artificial Intelligence in Healthcare: Trends, Challenges, and Ethical Implications. Rezky, Muhammad; Syarif, Kurnia Rahma; Yulianto M
Media Keperawatan: Politeknik Kesehatan Makassar Vol 17 No 01 (2026): Media Keperawatan: Politeksnik Kesehatan Makassar
Publisher : Jurusan Keperawatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/jmk.v17i01.1616

Abstract

Artificial Intelligence (AI) has seen rapid development and is increasingly implemented in various aspects of healthcare. This technology has the potential to improve diagnostic accuracy, enhance service efficiency, and support data-driven clinical decision-making. This study aims to systematically review the implementation of AI in the healthcare sector, focusing on its applications, challenges, and associated ethical and social implications. A systematic literature review was conducted using 11 peer-reviewed articles sourced from PubMed and major scientific journals. Articles were selected through predefined inclusion criteria and analyzed thematically to extract key themes. The results show that AI has been widely applied in medical image analysis, automated diagnosis, and clinical prediction, particularly through the use of deep learning models such as convolutional neural networks (CNN). These models demonstrated high performance in detecting diseases like cancer, diabetic retinopathy, and pulmonary conditions. However, implementation challenges remain, including limited interpretability of models, issues with data quality and algorithmic bias, and ethical concerns surrounding patient data privacy. In conclusion, AI holds significant promise for transforming healthcare, but its responsible and effective adoption requires robust regulatory frameworks, adequate infrastructure, and strong collaboration between AI systems and medical professionals.
Co-Authors A., M. Awaluddin Ahmad Suryadi, Ahmad Ali Ibrahim Andi Dio Nurul Awalia Angel, Chaerani Ashshiddiqy, Hasbi Bachtiar, Machdum Dahliani, Desi Faidzaturrahmah, Nur Fathoni Fathoni Feby Triadi Ferdiansyah Ferdiansyah Gerhana, Gerhana Gunawan, Santika Haris Irfandinata, Irfandinata Irma Aryanti, Andi Kalista, Nazwa Nur Maulida Qintani La Ode Nafiu Mira Afrina Musram Abadi Nur, Dahlia Nurjannah, Elma Nursari, Ayla Nurul Ilmi, Nurul Pusparini, Faradilla Puspitasari, Novianti Rahayu, Rizqi Widya Sandyanegara, Aryasena Bela Shiddiq Yunus, A.M Sjamsi, Nurus Sya'ban, Ikram Barman Maulana Syarif, Kurnia Rahma Wibowo, Suluh Arif Wijaya, Zhienka Putri Yanafirana, Yanafirana Yulia Irwina Bonewati Yulianto M