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Journal : Aptisi Transactions on Management

Digital Branding on Instagram and TikTok Driving Engagement for Cardboard Box Products Mochamad Heru Riza Chakim; Mulyati; Nasution, Erni Juliana Al Hasanah; Perez, Carlos; Septiani, Nanda
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i3.2511

Abstract

This study examines how digital branding on Instagram and TikTok, digital pro- motion, and product quality shape customer engagement and purchase intention in the packaging sector, using nuansa box indonesia Indonesia as the focal case. Gap research predominantly explores fashion, cosmetics, and F&B industries, leaving limited evidence on B2B/B2C packaging where products are often per- ceived as merely functional. We provide an in-depth case of a packaging brand and model the mediating role of customer engagement between digital strat- egy (branding, promotion) and purchase intention, estimated via PLS-SEM. The measurement model is robust (all loadings > 0.70; AVE > 0.50; Cronbach’s Alpha and Composite Reliability > 0.70). The structural model shows substan- tial explanatory power for purchase intention (R2 = 0.748). Product Quality is the strongest driver of Purchase Intention (β = 0.401), while Customer Engage- ment positively influences Purchase Intention (β = 0.288) and is significantly driven by Digital Branding (β = 0.489) and Digital Promotion (β = 0.375). The direct path from Digital Promotion to Purchase Intention is not significant (p = 0.060). Results indicate that compelling digital branding cultivates en- gagement that converts to purchase intention, but promotion alone is insufficient without strong product fundamentals. Managerially, firms should prioritize con- sistent, aesthetic branding to build engagement, leverage targeted promotions to activate trials, and sustain investment in product excellence as the ultimate lever of conversion and loyalty.
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.
AI Based Assistance To Reduce Suicidal Tendency Among Youngsters Rawat, Bhupesh; Bist, Ankur Singh; Mulyati; Fakhrezzy, Muhammad; Octavyra, Regina Dinda
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1829

Abstract

Suicidal tendency among youngsters is one of emerging issue in society.This not only results in loss of life but also has disruptive psychosocial and adverse socio-economic effects. It accounts for 1.4% of all deaths. It is also reported that men die more than women. If we look at male to female ratio regarding suicide death, then it is 1.5 to 1 and is highest in richest countries. Each year, approximately 800,000 people die by suicide worldwide. Fast life style, academic pressure, relationships, drug addiction etc, are major causes of this. This is exacerbated by the presence of new factors that arise as a result of the COVID-19 outbreak, which puts new pressures on society, which of course worsens the mental condition of today's society.Governments and NGOs are highly concerned about it. In this paper, we are concerned about the role of technology to prevent it. We will discuss how artificial intelligence can help in keeping the wellbeing of the mental state of human beings. Our focus would be on use of artificial intelligence in predicting and preventing suicide attempt. We will share our perspective on how other techniques excluding AI can help to alleviate this menace.AI based applications are playing a vital role to assist mental health. Our purpose is to study the role of AI in mental health.
Innovative Strategies Using Gojek and Grab Digital Platforms to Boost Brand Sales Heru Riza Chakim, Mochamad; Mulyati; Bimantoro; Partogi, Chris
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2464

Abstract

In the digital era, shifting consumer behaviors and advancing technology ne- cessitate innovative marketing strategies. This study examines how brands leverage on-demand platforms like Gojek and Grab to enhance sales, market reach, and engagement, situated within global digital transformation trends akin to platforms like Uber Eats. Employing a qualitative case study and literature analysis, it identifies strategies grounded in theories such as consumer loyalty and customer value, including location-based promotions (used by 70% of businesses), data-driven personalization, and loyalty programs (adopted by 80%). These approaches improve distribution and create personalized cus- tomer experiences, with reviews and analytics informing decisions. However, challenges like high commission fees and algorithm dependency, particularly for MSMEs, require strategic solutions. Findings highlight that platform col- laborations drive competitive advantage, mirroring global platform economies. This research offers actionable insights for MSMEs and enterprises to design effective digital strategies and recommends exploring platform applications in non F&B sectors for future studies, contributing to digital marketing literature and practice in dynamic markets.
Influence of Incentives and Work Motivation on Employee Productivity at PT Panelindo Graha Nusantara Mulyati; Tarmizi, Rasyid; Mutiara Zahrani, Amelia; Bimantoro
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2467

Abstract

This study investigates the impact of incentives and work motivation on em- ployee productivity at PT Panelindo Graha Nusantara, a company operating in the electrical panel manufacturing sector. The importance of employee produc- tivity in achieving organizational goals motivates this research, particularly in the context of human resource management strategies. The objective is to analyze both the partial and simultaneous effects of incentives and motivation on sample of 72 employees. Data were collected using structured questionnaires and analyzed through classical assumption tests, multiple linear regression, and determination coefficient analysis using SPSS software. The results indicate that incentives and work motivation both have significant positive effects on employee productivity individually and simultaneously. The partial tests show significance with t-values exceeding the critical t-value, and the simultaneous test reveals a significant F-value well above the threshold. The coefficient of determination suggests that 65.3% of the productivity variance can be explained by these two variables. In conclusion, the findings emphasize the critical role of properly designed incentive systems and motivation strategies in enhancing employee productivity. These insights provide valuable guidance for managers aiming to optimize workforce performance in similar industrial settings
Co-Authors A. A. Ketut Sudharmawan A.A Sudharmawan A.A. Ketut Sudharmawan Abdus Syakur Assopi Adelia Noviyanti Afriyana, Siti Zulfa Alfaris Ibrahim, Syuja Alfian, Sulthan Taqi Sampoerna Ananda, Dea Ananda, Putri Annisatul Muffidah Antono Suryoputro Apriadi, Apriadi Aryanie, Dinda Dewi Asriani Atin Hafizatul Aini Auliya Safitri Bennet, Daniel Bimantoro Bist, Ankur Singh Bustan Cindy Adelia Cornelia Putri, Cindy Dananjaya, Humam Rafif Dejan Fadilahsyah Destiana Panca Riani Diah Miftahul Aini Dian Kurniati Dwi Indriati Dwiyono, Yudo Elsa Fitria Fabio, Muhamad Fadin, Adnan Fadin Fahrudin Fahrudin Fakhrezzy, Muhammad Fariha Mutia Rahmi Fathony, Fami Rezha Fatmawati Saloko Ferdinan Manalu , Dedi Firda Widya Sari Firman Abadi Saputra Fitria, Elsa Hajra Yansa Hamiyati HARTATI Hasanah Heri Retnawati Hermansyah Heru Riza Chakim, Mochamad Hijraningsih, Selvia hosniyah, hosniyeh Hosniyeh I Gusti Made Kusnarta I Wayan Sudika Ibrahim Ichsanudin, Fathur Iffah Tsabita Ikhsani Indah Nabilla Nur Lutfiyyah Zariyatan Indrawan, Rama Indriati, Dwi Irawan, Erwin Janna, Miftahul Joko Priyono Joko Priyono Kartin Aprianti Khairul Kiki Anggriani La Ode Nuh Salam Lalu Bahrul Ilmi Lalu Kurniawan Lestari, Putri Puji Listiana, Yovi Ayu Lolita Endang Susilowati Lowell, Darren M. Fahed Ramadhan M. Sirajudin M. Taufik Fauzi Ma'arif, Syamsul Mahrup Martini Martini Minarny Gobel Mochamad Heru Riza Chakim Muh Hayatullah Muh. Safrony Akmal Muhammad Tahir Muhammad Yusuf Mulyati Mulyati Mustofa, Kenny Ilyas Mutiara Zahrani, Amelia Nadia Dwi Cahyani Nanda, Meilita Rizkia Dwi Nasharuddin Nasution, Erni Juliana Al Hasanah Natsir, Luthfi Faisal Ndruru, Natalia Nidaul Hasanah Nina Herlina Noor, Fachrurozi Noryani, Noryani Noviandi Guna, Barito Nur Wahid, Wahyu Nurlaila Abdullah Mashabi Nurlaila Abdullah Mashabi, Nurlaila Abdullah Nusantoro, Hardjanto octavyra, Regina dinda Padusung Partogi, Chris Pérez, Carlos Po Abas Sunarya Putri Ananda Qurnain, Muhammad Zul Ramadhan, Tarisya Ramdani, Ari Rawat, Bhupesh Riadi, Safina Ricky Z Ridha Ayumnuazmi Rifki, Abdul Rika Andriati Sukma Dewi Rina Martini Rismawati Sudarsih Rizky Ramadhan, Rizky Rohadatul Aisy, Dzia Ulhaq Rusdi Safar, Muhammad Attar Bensani Safira Mawaddah Sahira, Dian Santoso, Nuke Puji Lestari Saputri, Dhiyah Amalia Sawiyah Siagian, Lailan Sayid Mubarak Septia Anggraini Septiani, Nanda Siska Ita Selvia Subhan, Ega Saiful Suci Saraswati, Latifah Sulfaida Pratami Sunarti Suryani, Sevi Suryaningsih, Sherly Suwardha Yunus3 Suwardji Syarif, Sri Reskiani Tarma Tarmizi, Rasyid Taslim Sjah Taufik Fauzi Untung Rahardja Wayan Wangiyana Welmy Soumena Wulandari, Destiana Wulandari, Sagita Yulianita Yuliantoro, Tri Zebua, Selamat Zuhdiyah Matienatul Iemaaniah