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The Influence Of The Production Control System And Marketing Mix On Post Covid 19 Income Levels In UMKM Selling Wet Cakes In Kampung Melayu Village, Banyuwangi District Helmi Agus Salim; Dewi Untari; Musaiyadi Musaiyadi
ABM: International Journal of Administration, Business and Management Vol 5 No 2 (2023)
Publisher : LPPM Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v5i2.981

This study aims to determine the effect of the production control system and marketing mix on income levels during the pandemic at the UMK Sales of Wet Cake Products in Kampung Melayu Village, Banyuwangi District. In this study, researchers used primary data. Primary data in this study were obtained by distributing questionnaires. This study used 5 sellers of wet cake products as samples. The analytical techniques used include instrument testing, classical assumption test, multiple linear regression analysis, coefficient of determination and hypothesis testing. The results showed that (1) the production control system partially significantly affected the level of income, (2) the marketing mix partially significantly affected the level of income, (3) and simultaneously the production control system and marketing mix had an effect on the level of income.

Study and Marketing Strategy to Increase Service Sales At PT. Sunlife Financial Indonesia Using SWOT Method Yani Dahliani; Helmi Agus Salim
ABM: International Journal of Administration, Business and Management Vol 5 No 2 (2023)
Publisher : LPPM Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v5i2.988

From the results of calculating the EFAS and IFAS matrices in the position matrix, the appropriate strategy was carried out by PT. Sunlife Financial Indonesia is a diversification strategy, namely increasing the products / services offered and market development. These results were obtained from internal factors, namely 2.6, which was obtained from the total sum of the company's strength and weakness factor ratings, and from the company's external factors, namely 2.85, which was obtained from the total sum of opportunity and threat factors. And it was found that external factors were higher than internal factors, this was because PT. Sunlife Financial Indonesia has a big threat to its business, where competition from similar businesses continues to increase, but PT. Sunlife Financial Indonesia can provide the strength it has to take advantage of existing opportunities.

Study Of Perception Public At System Pawnshop Syariah Branch Tanjung Market In Jember Yani Dahliani; Yuniorita Indah Handayani; Helmi Agus Salim
ABM: International Journal of Administration, Business and Management Vol 6 No 1 (2024)
Publisher : LPPM Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v6i1.1079

The financial instution is delived into, namely bank financial instutions and non-bank financial instutions. One of the non-bank financial instutions is instution in the form of public company (perum). The background of this research is to know the views and perceptions of the society to the pawnshops of sharia branch tanjubg marketin Jember as well as the factors that determine the community to choose pawnshops as one source to abtain funds. The problem in this research is how is the society perception of sharia pawn system in pasar tanjung and to know what are the factors that determine the people prefer anh how sharia pawnshops in running the system and whether people understand about how the system implemented by pawnshop sharia.The purpose of this descriptive research of sharia pawn system. The results of research that has been done shows that the community is very supportive of sharia pawnshops, with sharia pawnshops can help the community down in obtaining funds quickly easil, greatly assist the community in its financial problems to meet their needs but the lack of socialization conducted by pawnshops sharia making people who pawned gold or other goods made ignorance and lack of understanding of the system and akad used by sharia pawnshops, this resulted in 100% of respondents experiencing a lack of understanding of the system, products and contracts implemented by the sharia pawnshops.

Improving Employee Performance: Assessment of Leadership Style, Work Environment, and Work Motivation Aspects Suwignyo Widagdo; Domingos Lemos Lopes; Helmi Agus Salim
ABM: International Journal of Administration, Business and Management Vol 5 No 2 (2023)
Publisher : LPPM Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v5i2.1538

This study aims to examine the influence of leadership style, work environment and work motivation on employee performance at the Ijen sub-district office, Bondowoso district. The research data were obtained from distributing questionnaires to research objects with a sampling technique using saturated sampling. This type of research is quantitative. The respondents in this study were all employees at the Ijen sub-district office, Bondowoso district, totaling 30 people with details of 25 people with civil servant status and 5 people with contract worker status. Data analysis in this study used Validity Test, Reliability Test, t-test, F Statistic Test, Determination Coefficient. The results of this study indicate that leadership style, work environment and work motivation have a significant effect partially or simultaneously on employee performance, this is evidenced by the t count value> t table and the F count test value> F table. The coefficient of determination of 0.831 indicates that 83.1% of employee performance variations can be explained by the three variables

Implementation of Tourism Marketing Strategy Suwignyo Widagdo; Pedro M. de F. Barreto Ximenes; Helmi Agus Salim
ABM: International Journal of Administration, Business and Management Vol 6 No 2 (2024)
Publisher : LPPM Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v7i1.1552

This study aims to analyze the influence of leadership style, work environment, and work motivation on employee performance at the Ijen District Office, Bondowoso Regency. This quantitative research involved the entire population of 30 employees, consisting of 25 civil servants and 5 contract workers, using a saturated sampling technique. Data were collected through observation, questionnaires, interviews, and literature review, and analyzed using multiple linear regression, t-test, F-test, and coefficient of determination. The results show that leadership style (t = 3.621; p = 0.001), work environment (t = 2.271; p = 0.032), and work motivation (t = 2.450; p = 0.021) each have a significant partial effect on employee performance. Simultaneously, these three variables also have a significant effect on employee performance (F-value = 42.675 > F-table = 2.975) with a coefficient of determination of 83.12%. Leadership style emerged as the most dominant factor influencing performance. These findings highlight the importance of improving leadership quality, enhancing the work environment, and strengthening motivation through reward systems to boost employee performance in public institutions. Keywords: leadership style, work environment, work motivation, employee performance

Deteksi Deepfake dalam Mitigasi Risiko Disinformasi Digital menggunakan Metode Multi-Task Cascaded Convolutional Network dan Mobilenetv2 di Indonesia Helmi Agus Salim; Agung Muliawan; Difari Afreyna Fauziah
SemanTIK : Teknik Informasi Vol. 11 No. 2 (2025): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i2.239

Disinformasi digital yang semakin marak melalui penyebaran konten deepfake telah menjadi tantangan serius di era transformasi digital, khususnya di Indonesia. Penelitian ini bertujuan untuk mengembangkan dan membandingkan kinerja dua metode deteksi deepfake berbasis deep learning, yaitu Multi-Task Cascaded Convolutional Network (MTCNN) dan MobileNetV2. Penelitian difokuskan pada deteksi manipulasi citra wajah dengan memanfaatkan kekuatan ekstraksi fitur dari MTCNN dan efisiensi arsitektur ringan MobileNetV2. Proses penelitian melibatkan tahapan pre-processing data menggunakan metode ekstraksi wajah, pelatihan model klasifikasi biner, serta evaluasi performa melalui confusion matrix. Hasil penelitian menunjukkan bahwa MTCNN menghasilkan performa klasifikasi yang lebih baik dibandingkan MobileNetV2, dengan akurasi sebesar 84% dan nilai True Positive serta True Negative yang lebih tinggi. Sebaliknya, MobileNetV2 hanya mampu mencapai akurasi 78,5%, disertai tingkat False Negative dan False Positive yang lebih besar. Temuan ini menunjukkan bahwa MTCNN memiliki keunggulan dalam mendeteksi konten deepfake secara lebih akurat berkat kemampuan ekstraksi fitur wajah yang lebih presisi. Di sisi lain, MobileNetV2 menawarkan kecepatan dan efisiensi pengolahan data, namun kurang optimal untuk mendeteksi manipulasi detail pada wajah. Berdasarkan hasil penelitian, disimpulkan bahwa MTCNN lebih direkomendasikan sebagai metode deteksi deepfake dalam upaya mitigasi risiko disinformasi digital di Indonesia, terutama pada skenario yang menuntut akurasi tinggi. Increasingly widespread digital disinformation through the spread of deepfake content has become a serious challenge in the era of digital transformation, especially in Indonesia. This research aims to develop and compare the performance of two deep learning-based deepfake detection methods, namely Multi-Task Cascaded Convolutional Net-work (MTCNN) and MobileNetV2. The research focused on facial im-age manipulation detection by utilizing the feature extraction power of MTCNN and the lightweight architectural efficiency of MobileNetV2. The research process involved data pre-processing using face extraction methods, binary classification model training, and performance evalua-tion through confusion matrix. The results showed that MTCNN pro-duced better classification performance than MobileNetV2, with 84% accuracy and higher True Positive and True Negative values. In con-trast, Mo-bileNetV2 was only able to achieve 78.5% accuracy, along with higher False Negative and False Positive rates. The findings show that MTCNN has the advantage of detecting deepfake content more accurately thanks to its more precise facial feature extraction capabili-ties. On the other hand, MobileNetV2 offers speed and efficiency in data processing, but is less optimum for detecting manipulation of faci-al details. Based on the results, it is concluded that MTCNN is more recommended as a deepfake detection method in an effort to mitigate the risk of digital disinformation in Indonesia, especially in scenarios that demand high accuracy

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