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Effect of Human Resources Quality, Performance Evaluation, and Incentives on Employee Productivity at Raharja High School Mulyati; Zebua, Selamat; Chakim, Mochamad Heru Riza; Khairul; Mulyati, Mulyati
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1732

Abstract

This study used a sample of 30 employees of Raharja College, Cikokol, Tangerang which were taken randomly to test the effect of the quality of human resources, job evaluation, incentives on employee productivity. The survey method with path analysis technique was used to analyze the pattern of relationships between variables with the aim of knowing the direct or indirect effect of a set of independent variables (exogenous) on the dependent variable (endogenous) with data analysis using the smart PLS 3.0 version software. The results show that the quality of human resources has a positive effect on employee productivity with a path coefficient value of 0.145, the quality of human resources has a positive effect on incentives with a path coefficient value of 0.121, incentives have a positive effect on productivity with a path coefficient value of 0.784, while performance evaluation has no positive effect on employee productivity with a path coefficient value of -0.103. It can be said that all the hypotheses in this study only one that does not have a positive effect while the rest have a positive effect. From the results of the data analysis, it can be seen that the quality of human resources directly affects employee productivity at Raharja College. Thus, the hypothesis which states that the quality of HR has a direct effect on employee productivity is accepted.
AKSELERASI BISNIS JASA PASCA COVID-19 DI INDONESIA DAN DAMPAKNYA TERHADAP PEREKONOMIAN Chakim, Mochamad Heru Riza; Pusparanti, Sonia
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 3 No. 2 (2022): Jurnal Manajemen Retail Indonesia (JMARI)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.121 KB) | DOI: 10.33050/jmari.v3i2.2420

Abstract

Kebutuhan masyarakat Indonesa pada perode ini semakin meningkat dan sering berjalannya waktu, persaingan di bidang bisnis semakin ketat, dan tingkat konsumen semakin meningkat dari tahun ke tahun. Perusahaan yang dapat bersaing di pasar adalah perusahaan yang dapat menyediakan produk dan layanan berkualitas tinggi. Hal ini memastikan bahwa produk dan jasa yang ditawarkan merupakan tempat yang baik bagi konsumen untuk dilihat di masyarakat ketika memilih produk dan jasa yang mempengaruh sifat dan rasa dari produk dan jasa yang mereka beli. Perkembangan sektor jasa pengiriman barang dapat dilihat dari semakin meningkatnya kebutuhan masyarakat atau konsumen terhadap industri jasa pengiriman. Hal ini menyebabkan banyaknya perusahaan yang bergerak di bidang jasa pengiriman barang atau biasa disebut angkutan barang, karena mempermudah dan mempercepat pengiriman barang ke seluruh Indonesa. Perusahaan yang ingin lebih mengembangkan usahanya tidak bisa lepas dari persaingan yang semakin ketat. Dalam hal ini perusahaan lebih kreatif dan inovatif untuk memanjakan konsumen melalui penawaran dengan memberikan pelayanan yang unggul dengan mempertimbangkan faktor-faktor yang mempengaruhi kepuasan konsumen dan menciptakan kepuasan konsumen. Kami menciptakan kepuasan pelanggan dengan kualitas pelayanan yang prima. Konsumen merasa senang ketika pelayanan memenuhi dan melebihi harapan. Jumlah jasa pengiriman barang di Indonesa telah meningkat secara signifikan dan saat ini sangat banyak bagi mereka yang ingin mencari jasa pengiriman favorit berdasarkan harga, waktu atau lama pengiriman, tujuan pengiriman, jenis barang yang dikirim. Diyakini bahwa semakin baik dan semakin memuaskan hasilnya, semakin besar keberhasilan dan kesuksesan berwirausaha.
Strategi Bisnis UMKM Bakso Mitra Dalam Menghadapi Kompetitor di Desa Riau Kabupaten Bangka Agustina, Liza; Mulyati, Mulyati; Chakim, Mochamad Heru Riza
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 4 No. 1 (2023): Jurnal Manajemen Retail Indonesia (JMARI)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.315 KB) | DOI: 10.33050/jmari.v4i1.2695

Abstract

Penelitian ini bertujuan untuk mengetahui strategi bisnis UMKM bakso Mitra dalam menghadapi para kompetitor di desa Riau. Penelitian ini merupakan survei langsung dari lapangan. Penelitian ini menggunakan metode penelitian deskriptif kualitatif. Teknik pengambilan data dengan cara wawancara, pengisian kuesioner, dan observasi. Penelitian ini menggunakan analisis SWOT yang melihat dari sudut pandang kekuatan (strength) dan kelemahan (weakness) yang merupakan faktor lingkungan internal, peluang (opportunities) dan ancaman (threats) yang merupakan faktor lingkungan eksternal dan mengidentifikasi konsep bauran pemasaran (marketing mix). Hasil dari analisis ini dilihat dari sudut pandang kekuatan (strength) dan peluang (opportunities) mengimplementasi bahwa posisi UMKM bakso Mitra berada di posisi tinggi, sedangkan dilihat dari sudut pandang kelemahan (weakness) dan ancaman (threats) mengimplementasi di posisi stabil. Dilihat dari sudut pandang ini posisi UMKM bakso Mitra berada pada puncak yang dimana mereka dapat dikatakan mengalami pertumbuhan dan perkembangan. Untuk tetap dapat bertahan di era persaingan yang ketat sekarang UMKM bakso Mitra dapat menggunakan strategi SWOT yaitu menerapkan strategi SO (Strength Opportunity), dimana UMKM bakso Mitra memiliki kekuatan yang dapat dipakai untuk memaksimalkan peluang dan menerapkan konsep bauran pemasaran (marketing mix)
Business Development Strategy with SWOT Analysis Method at PT Jaho Mulya Sunjaya Amelia Mutiara Zahrani; Mochamad Heru Riza Chakim; Mulyati Mulyati
Journal of Social Research Vol. 4 No. 9 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i8.2611

Abstract

Digital marketing has become one of the most effective tools in increasing brand awareness, especially in the academic environment. This study aims to evaluate the effectiveness of digital marketing strategies implemented at Raharja University in increasing brand awareness among students and prospective students. The methods used in this study are surveys and quantitative data analysis, with the population of active students and prospective students who register. The results show that the use of social media and digital content significantly contributes to increasing brand awareness. This research provides important insights for the university in formulating a more effective and efficient marketing strategy.
The Social Empowerment Role of the Penta Helix Entrepreneurship Ecosystem in Driving the National Economy Mochamad Heru Riza Chakim; Untung Rahardja; Eka Dian Astuti; Erika Erika; Chua Toh Hua
ADI Pengabdian Kepada Masyarakat Vol 6 No 1 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v6i1.1283

Abstract

Berdasarkan UU No.12 Tahun 2012 tentang pendidikan tinggi mendefinisikan mengenaijenjang pendidikan setelah pendidikan menengah dari program diploma sampai programspesialis yang diselenggarakan oleh perguruan tinggi berdasarkan kebudayaan bangsaindonesia. Didukung oleh konsep dasar KKM(Kuliah Kerja Mahasiswa) oleh ristekdikti,mahasiswa wajib memiliki 3 tridharma yakni pendidikan, penelitian, dan pengabdian agarmenjadi pribadi mahasiswa yang cerdas berbudi luhur secara komprehensif, berintegritasdan kredibel. KKM sendiri merupakan wadah tepat untuk pengembangan multidisciplinaryapplied researches, yang sangat akan sangat berguna bagi masyarakat dan jugameringankan beban pemerintah pusat atau daerah. Serta peduli dan menjawabpermasalahan yang ada dalam permasalahan global tak lupa memberikan nama baik untukperguruan tinggi. KKM meningkatkan empati, kepedulian, kerjasama secara multidisipliner,kepribadian, kontribusi daya saing daerah/nasional, dan mendorong learningcommunity/society
Strategy Based Technology-Based Startups to Drive Digital Business Growth Hanny Safitri; Mochamad Heru Riza Chakim; Alfri Adiwijaya
Startupreneur Business Digital (SABDA Journal) Vol. 2 No. 2 (2023): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v2i2.344

Abstract

Lean startup methodology-based strategic formulation to promote the expansion of  technology-based startup businesses in Indonesia. About 75% of developing startups fail to expand appropriately, which is a relatively high startup failure percentage. Failure of startups is influenced by time and the relevant industry. Due to the wrong approach being chosen from the startup's first year to its fourth, it was unable to expand. The goal of this study is to develop new general methods for company growth based on the lean startup approach. The goal of this study is to use the Delphi technique to find startup failure indicators, and then to select the primary failed cause using the Analytical Network Process (ANP). The research's next phase is to develop the plan after the failure factor has been determined. The researcher acquired 8 as a consequence of this study. 55 indicators of startup failure factors and factors. Using the ANP model, 10 priorities were determined. addressed by developing a new approach utilizing agile development and the minimal viable product idea. technique, human resource management, and customer relationship management. eventually acquired a fresh approach that entrepreneurs may utilize to promote growth.
Cybersecurity Strategies for Preventing Ransomware Attacks in Cloud-Based Applications Ageng Setiani Rafika; Sora Baltasar; Alfri Adiwijaya; Mochamad Heru Riza Chakim; Zhask Stefano Rizky
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.77

Abstract

Ransomware attacks have become a significant threat to cloud-based applications, posing severe risks to organizations' data integrity, financial stability, and operational continuity. This paper explores the challenges of securing cloud environments against ransomware, focusing on vulnerabilities such as inadequate encryption, weak access controls, and multi-tenancy risks. Through an in-depth analysis, the paper identifies the most common types of ransomware targeting cloud applications, including file encryption and data exfiltration ransomware, and discusses the security weaknesses that facilitate these attacks. The paper further evaluates existing cybersecurity strategies, such as data encryption, multi-factor authentication (MFA), and continuous monitoring, highlighting their effectiveness in preventing ransomware attacks. Based on these findings, a comprehensive framework is proposed, combining technical solutions like strong encryption and AI-based threat detection with organizational practices such as regular employee training and backup solutions. The study also emphasizes the importance of collaboration between cloud service providers and organizations to enhance overall cloud security. By adopting a multi-layered approach and integrating emerging technologies, organizations can significantly improve their resilience against ransomware threats. This research contributes to the ongoing dialogue on cloud security by providing actionable recommendations for preventing ransomware attacks and safeguarding cloud-based applications from evolving cyber threats.
Reliable Machine Learning Models for Energy Optimization in Smart Green Cities Ignatius Agus Supriyono; Mochamad Heru Riza Chakim; Henry Zainarthur; Dimas Aditya Prabowo
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1092

Abstract

Rapid urbanization and increasing energy consumption have intensified the need for intelligent approaches that support sustainable and efficient energy management in smart green cities. This study investigates the effectiveness of machine learning models in improving energy demand forecasting and energy optimization through a reliability-oriented evaluation framework. The research utilizes a real-world smart city energy consumption dataset comprising 17,520 hourly observations collected between January 2022 and December 2023. Three machine learning models, namely Random Forest, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM), were developed and evaluated using 30 independent execution runs. Model performance was assessed through Mean Absolute Error (MAE), Root Mean Square Error (RMSE), coefficient of determination (R2), reliability analysis, and interpretability consistency measurements. The results demonstrate that LSTM achieved the best predictive performance with an MAE of 0.31, RMSE of 0.45, and R2 of 0.93, outperforming Random Forest and SVM across all evaluation metrics. Furthermore, LSTM exhibited the highest reliability score of 0.912 and superior explanation stability, indicating robust and consistent performance under repeated executions. The forecasting outputs were integrated into an energy optimization framework, resulting in reductions in peak energy loads and overall electricity consumption. These findings confirm that reliable and explainable machine learning models can support adaptive, data-driven energy management strategies capable of enhancing operational efficiency and sustainability in urban environments. The proposed framework contributes to the development of trustworthy intelligent systems for smart green cities and supports the achievement of sustainable development objectives related to clean energy, sustainable communities, and climate action.
Integration of Artificial Intelligence in Digital Marketing Strategies Based on Business Data Analytics: Integrasi Kecerdasan Buatan dalam Strategi Pemasaran Digital Berbasis Analisis Data Bisnis Qurotul Aini; Sutama Wisnu Dyatmika; Mochamad Heru Riza Chakim; Miftakhul Khasanah; Zabenaso Queen
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1230

Abstract

The digital transformation in the era of Artificial Intelligence (AI) has revolutionized marketing practices by placing data analysis at the core of adaptive and precision-based strategies. This study aims to analyze how the integration of AI and business data analytics can strategically and sustainably enhance the effectiveness of digital marketing. The research method employs a qualitative approach through literature review and case analysis of AI implementation in digital business contexts. The findings indicate that the use of AI in market segmentation, consumer behavior prediction, and content personalization significantly improves conversion rates, customer loyalty, and marketing cost efficiency. Moreover, this technological integration also supports the achievement of the Sustainable Development Goals (SDGs), particularly Goal 8 (decent work and economic growth) and Goal 9 (industry, innovation, and infrastructure). These findings highlight the importance of strengthening digital capabilities through the adoption of AI-based technology and data analytics as a foundation for building responsive, innovative, and sustainable marketing strategies aligned with the demands of the digital economy.
Co-Authors Abyantoro, Dody Adam Faturahman Ade Suhara Afridian Wirahadi Ahmad Agustina, Liza Agustinus Talindong Ahmad Hariyadi Alfri Adiwijaya Aliyah Amelia Mutiara Zahrani Ariesmansyah, Andre Beldiq, Eiser Aaron Cakranegara, Pandu Adi Chandra Lukita Chua Toh Hua Dahlia Pinem Dhiyah Ayu Rini Kusumawardhani Dimas Aditya Prabowo Dimas Bagus Saputra Dinarwati, Sri Dwi Julianingsih Dwitarwasto, Toto Eka Dian Astuti Erika Erika Fauzan Manafi Albar Fitriani, Gaby Fong, Joan Greian April Pangilinan Hakim, Yucky Fitriana Hanny Safitri Hasanah Hasanah Hefri Yodiansyah Heni Nurhaeni Henry Zainarthur Hiroshi Kenta I Wayan Parwata I Wayan Ruspendi Junaedi Ignatius Agus Supriyono Ihsan Nuril Hikam Khairul Lena Magdalena Lestari, Anggun Hilendri Marviola Hardini Maulana, Sabda Mayasari, Nanny Miftakhul Khasanah Mohamad Muspawi Mulyati Mulyati Mulyati Mulyati Mulyati Mulyati Mulyati Nanny Mayasari Nasution, Erni Juliana Al Hasanah Ninda Lutfiani Pérez, Carlos Po Abas Sunarya Pusparanti, Sonia Qurotul Aini Rafika, Ageng Setiani Ramadhan, Muhamad Dicky Riya Widayanti Rizky, Agung Rizqillah, Abrar Sandy Kosasi seprianti eka putri Septiani, Nanda Shaumiwaty, Shaumiwaty Sora Baltasar Suhara, Ade Sunarjo, Richard Andre Sunarti Sutama Wisnu Dyatmika Suwarni Talindong, Agustinus Tanjung, Azrul Tantri Wenny Sitanggang Untung Rahardja Utami, Rahayu Tri Vertika Agarwal Victorianda Wijayanti, Cahya Winarti, Wiwin Yodiansyah, Hefri Yuliantoro, Tri Zabenaso Queen Zebua, Selamat Zhask Stefano Rizky Zulkarnaini