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All Journal Inovator : Jurnal Manajemen Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal Ilmiah Manajemen Kesatuan JURMA : Jurnal Program Mahasiswa Kreatif Moneter : Jurnal Keuangan dan Perbankan Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Pengabdian Nusantara Manager : Jurnal Ilmu manajemen
Hanif Zaidan Sinaga
Universitas Ibn Khaldun Bogor
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Hydroponic Agriculture as Business in Digital Era Asti Marlina; Hanif Zaidan Sinaga; Ahmad Fathan Mujadidi Haqqani
Jurma : Jurnal Program Mahasiswa Kreatif Vol 6 No 2 (2022): Desember 2022
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v6i2.1602

Abstract

Hydroponic is a farming activity without land and does not require large areas of land, this farming activity can also have potential as a business activity. This agriculture business activity can also help and even overcome problems that will arise from economic uncertainty. Apart from the hydroponic agriculture business activities, the quality of the final product will greatly affect the price which will ultimately affect the total income and profits from the harvest in that period. The hydroponic training in Laladon Village, Ciomas District, Bogor City is expected to increase community income by establishing SMEs and can also improve food security for the community. Business activities require good marketing strategy skills, today marketing activities are carried out through digital channels. The ability of a good marketing strategy will reach a wider market so that the potential of these business activities can generate better profits. A good marketing strategy will consider the level of effectiveness and efficiency of all available channels, by choosing digital channels that are effective and efficient and have an impact on the right marketing strategy and produce better market growth. To increase hydroponic sales, you can implement and develop digital strategies, namely by using whatsapp business, Instagram, TikTok, Facebook and Google Adds.
Developing High-Quality Horticultural Products With Network Culture and Marketing Potential in Reducing Food Loss and Waste Fakhiroh, Siti Zakiyatul; Amanda, Sifa Saskia; Nuraida, Dhita; Sinaga, Hanif Zaidan; Hoirunnisa, Siti Mega Sania
INOVATOR Vol 13 No 2 (2024): SEPTEMBER
Publisher : prodima@fe.uika-bogor.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovator.v13i2.685

Abstract

The agricultural sector faces challenges in meeting the demand for high quality Horticultural products as the world population grows. Tissue Culture techniques involve growing plants in a controlled environment, offering an innovative solution to increase agricultural production. This research explores the commercial opportunities and appropriate marketing strategies in developing high-quality agricultural products through tissue culture, as well as analyzing its role in addressing food loss and wastage. Through a literature review and questionnaires, this study shows that the use of superior tissue-cultured seeds, the application of proper cultivation techniques, and good post-harvest handling can produce high-quality horticultural products. Effective marketing, such as the use of digital technology and market analysis, plays an important role in marketing these products. In addition, proper sterilization and technical manipulation in tissue culture can reduce contamination and seedling loss, thus contributing to addressing Food Loss and Waste. This research provides valuable insights for the development of high-quality horticultural products through tissue culture, as well as the implementation of marketing strategies and agricultural practices that support global food security. In addition, tissue culture techniques that involve sterilization and proper technical manipulation can reduce contamination and seed loss, thereby contributing to overcoming the problem of food loss and waste. Overall, this study provides insights into how to develop high-quality agricultural products and effective marketing strategies, especially by leveraging digital technology to sell products online in order to reduce food loss and maximize profits. Thus, the development of high-quality horticultural products through tissue culture can support global food security.
Optimizing Agricultural Production Through the Internet of Things: Innovative Solutions to Reduce Food Loss and Waste Ardhy, Muhammad Maliki; Sinaga, Hanif Zaidan; Pratama, Muhammad Akmal Putra; Maulana, Akhmad Dzulfiqar; Abdullah, Arsyad
INOVATOR Vol 13 No 2 (2024): SEPTEMBER
Publisher : prodima@fe.uika-bogor.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovator.v13i2.686

Abstract

Significant food loss and waste along agricultural supply chains is a global challenge that threatens food security and environmental sustainability. This research aims to explore the potential of Internet of Things (IoT) technology as an innovative solution to overcome these problems. Through an interdisciplinary approach that combines agriculture, information technology and sustainability, this research develops an integrated Internet of Things (IoT) system that can efficiently monitor, analyze and manage the entire agricultural supply chain process. The proposed Internet of Things (IoT) solution includes a wireless sensor network for real-time monitoring of environmental conditions, crop growth, and activity on farmland, as well as a cloud-based analytics platform to process data and provide optimal recommendations. In addition, this system also allows food product traceability and information transparency along the supply chain. Respondents who are agricultural managers have a positive perception of the use of Internet of Things (IoT) technology in their agricultural activities. The research instrument (questionnaire) used was also proven to be valid and reliable in measuring related variables. Thus, this research concludes that the application of Internet of Things (IoT) technology in smart farming has great potential to optimize input use, increase crop productivity, and significantly reduce food loss and waste through better monitoring and control along the agricultural supply chain.
CARING FOR THE ENVIRONMENT WITH A SOCIAL SPIRIT THROUGH THE WASTE BANK UNIT PROGRAM Marlina, Asti; Zaidan Sinaga, Hanif; Pramono, Setio; Ariyo Bimo, Widhi; Sinta Tiara, Euis; Rusydiana MS, Rizqy
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 4 (2023): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i4.2185

Abstract

Waste management is a serious challenge that occurs in several countries. Poor waste management will lead to several problems. One movement that can overcome waste management is the establishment of waste banks. As one of the innovative steps that can overcome waste management problems in a sustainable manner. Waste banks are institutions that provide economic incentives for communities to recycle and utilize waste effectively. Community service activities in Nagrak village saw this phenomenon and made this a mainstay program. It is expected to provide in-depth insight into the contribution of waste banks in managing waste and achieving sustainable development goals. The results of this community service are expected to provide a basis for policy makers, industry players and the general public to improve the implementation and effectiveness of waste banks as an innovative solution in waste management and environmental sustainability.
Identification of Determinants of Customer Decisions in Choosing Savings at Digital Banks Sinaga, Hanif Zaidan; Rahmawati, Amelia; Amelia, Anggi
Manager : Jurnal Ilmu Manajemen Vol. 6 No. 4 (2023): Manager : Jurnal Ilmu Manajemen
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

Abstract The development of digital banking is increasing rapidly in line with the increasing interest and number of users. Digital banking is defined as banking services using digital facilities owned by banks, carried out independently by customers to obtain information, communicate, open accounts, banking transactions, and close accounts including obtaining other information outside of banking products including financial advisors, investments, e-commerce transactions and others. The use of online banking can be influenced by factors that support choosing online banking. This study aims to analyze how customers choose LINE Bank (Hana Bank) as the digital bank used today. This research uses a quantitative method with a descriptive approach that aims to make a description, description or painting systematically, accurately about the facts, properties and relationships between the phenomena being investigated. The sampling method uses nonprobability sampling with the purpose method. The data collection technique used in this study was a questionnaire. The results of this study indicate that each questionnaire item is a determining factor in the customer's decision to choose digital savings at LINE Bank so that LINE Bank is suitable for the community as a savings account that is easy to use and easy to access because it is internet-based.
OPTIMIZING BROILER CHICKEN FARM PRODUCTION USING INTERNET OF THINGS SMART FARM TO REDUCE FOOD LOSS AND WASTE Karmelia, Anita; Digna, Akira Alpha; Rahma, Alya; Sinaga, Hanif Zaidan; Ramadhani, Anisa Nur
Manager : Jurnal Ilmu Manajemen Vol. 7 No. 3 (2024): Manager : Jurnal Ilmu Manajemen
Publisher : Universitas Ibn Khaldun Bogor

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

Abstract

In the Broiler Chicken farming industry, Food loss and Waste (FLW) is a big challenge that affects production efficiency and environmental sustainability. The use of Internet of Things (IoT) technology is expected to improve control and monitoring of various aspects of production, from environmental conditions to chicken health, which can ultimately minimize food losses and waste. The method used in this research is a quantitative method, which involves collecting data through direct observation, interviews and distributing questionnaires. Observations were made on broiler chicken farms that had implemented IoT technology. The data collected is then analyzed to understand the impact of using IoT on production efficiency and reducing food loss and waste. The research results show that implementing an IoT technology can significantly increase the operational efficiency of broiler chicken farms. IoT sensors installed at various critical points of the farm help monitor temperature, humidity and air quality conditions, as well as provide real-time information about the health of chickens. With accurate and real-time data, farmers can take preventative action more quickly, thereby reducing the risk of chicken death and food waste. The aim of this research shows that broiler chicken farms that use IoT technology experience improvements in environmental management and chicken health, which contribute to reducing food loss and waste. Broiler chicken productivity also increases due to a more controlled environment and more effective management. In conclusion, the integration of IoT technology in broiler chicken farming production is an effective solution to reduce FLW and increase the sustainability and efficiency of the Broiler Chicken farming industry
The Effect Of Service Quality And Price Discounts Of “The Blessed Friday” Program On Customer Satisfaction (A Case Study At Ditha Facial Salon, Bojonggede) Kuraesin, Ecin; Sephiana, Della; Sinaga, Hanif Zaidan
INOVATOR Vol 14 No 2 (2025): SEPTEMBER
Publisher : prodima@fe.uika-bogor.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovator.v14i2.21819

Abstract

This study aims to examine the effect of profitability (return on assets), liquidity, leverage, Maintaining customer loyalty requires excellent service and attractive pricing strategies. This study aims to examine the influence of service quality and price discounts on customer satisfaction at Dithafacial Salon Bojonggede, focusing specifically on the “Jumat Berkah” (Blessed Friday) promotional program. The research employed a quantitative approach, collecting data through questionnaires distributed to 60 respondents. Data analysis was conducted using validity and reliability tests, multiple linear regression, t-tests, and F-tests to assess the effect of each variable. The results indicate that service quality has a significant impact on customer satisfaction. Price discounts also show a positive influence, although not as strong as service quality. Simultaneously, both variables affect customer satisfaction. It can be concluded that the success of promotional programs such as “Jumat Berkah” depends not only on the discounts offered but also heavily on the consistency and professionalism of the services provided. Reliable and high-quality service remains the key factor in encouraging repeat visits and building customer loyalty.
Analisis Sentimen Ulasan Skintific 5x Ceramide Barrier Repair Moisture Gel Pada Platform Female Daily Menggunakan SVM Dan Naïve Bayes Yola Tirta Nurfajriya; Pinkan Prilia Mahmudah; Hana Aurora Aida Rahma; Hanif Zaidan Sinaga
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 3 (2026): Juli - Oktober
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i3.11777

Abstract

Perkembangan industri skincare di Indonesia mendorong meningkatnya jumlah ulasan konsumen pada platform digital, salah satunya Female Daily. Ulasan tersebut dapat dimanfaatkan untuk mengetahui persepsi pengguna terhadap suatu produk melalui analisis sentimen. Penelitian ini bertujuan menganalisis sentimen ulasan produk Skintific 5X Ceramide Barrier Repair Moisture Gel serta membandingkan performa algoritma Naïve Bayes dan Support Vector Machine (SVM). Data penelitian diperoleh menggunakan teknik web scraping pada platform Female Daily sebanyak 1.029 ulasan. Pelabelan sentimen dilakukan secara manual (ground truth) oleh dua anotator independen dan divalidasi menggunakan Cohen’s Kappa. Tahapan pengolahan data meliputi preprocessing, pembobotan TF-IDF, serta klasifikasi menggunakan Naïve Bayes dan SVM dengan metode Stratified 10-Fold Cross Validation. Hasil pelabelan menunjukkan bahwa sentimen positif mendominasi dataset sebesar 85,62%, diikuti sentimen netral 8,94%, dan sentimen negatif 5,44%. Nilai Cohen’s Kappa sebesar 0,6638 menunjukkan tingkat kesepakatan yang tinggi antar anotator. Hasil klasifikasi menunjukkan bahwa Naïve Bayes memperoleh accuracy 85,62% dan macro F1-score 31,48%, sedangkan SVM memperoleh accuracy 88,73% dan macro F1-score 58,12%. Penerapan SVM Balanced memberikan hasil terbaik dengan accuracy 89,12% dan macro F1-score 63,11%. Hasil penelitian menunjukkan bahwa SVM Balanced lebih efektif dibandingkan Naïve Bayes dalam mengklasifikasikan sentimen pada dataset yang tidak seimbang.
Analisis Sentimen MBG Di Media Sosial X Menggunakan Support Vector Machine Dan Naive Bayes Akbar Supia Dirja; Lana Aulia Salsabila; M. Akhdan Putra Hermawan; Cika Jelita; Hanif Zaidan Sinaga
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 3 (2026): Juli - Oktober
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i3.11800

Abstract

Analisis sentimen merupakan salah satu penerapan Natural Language Processing yang digunakan untuk mengidentifikasi kecenderungan opini masyarakat ke dalam kategori positif, negatif, dan netral. Penelitian ini bertujuan menganalisis sentimen masyarakat terhadap Program Makan Bergizi Gratis pada media sosial X serta membandingkan kinerja algoritma Support Vector Machine dan Naive Bayes. Data penelitian menggunakan dataset publik yang diperoleh melalui platform Kaggle dan berasal dari unggahan pengguna media sosial X mengenai Program Makan Bergizi Gratis. Setelah proses pembersihan, penelitian menggunakan 1.335 data yang terdiri atas 612 sentimen positif, 377 sentimen negatif, dan 346 sentimen netral. Tahapan pengolahan data meliputi cleaning, case folding, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan Term Frequency-Inverse Document Frequency. Hasil pengujian menunjukkan bahwa Support Vector Machine dengan kernel linear memperoleh akurasi sebesar 77,9% dan Macro F1-Score sebesar 0,78. Sementara itu, Multinomial Naive Bayes memperoleh akurasi sebesar 75,7% dan Macro F1-Score sebesar 0,75. Berdasarkan hasil tersebut, Support Vector Machine memiliki performa yang lebih baik dalam mengklasifikasikan sentimen masyarakat, terutama pada kelas netral. Temuan penelitian menunjukkan bahwa sentimen positif berhubungan dengan manfaat program dan peningkatan gizi siswa, sedangkan sentimen negatif didominasi oleh kekhawatiran terhadap anggaran, efisiensi, dan pelaksanaan program. Hasil penelitian ini dapat menjadi gambaran awal mengenai respons masyarakat terhadap kebijakan Program Makan Bergizi Gratis di media sosial.
Implementasi Face Age Detection Menggunakan Computer Vision Untuk Identifikasi Rentang Usia Fahtir Angger Prabowo; Fara Diba; Alfiyyah Rima; Muhammad Iqbal Fauzi; Ilyas Lutfi Abdat; Hanif Zaidan Sinaga
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 3 (2026): Juli - Oktober
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i3.11802

Abstract

Perkembangan Artificial Intelligence (AI), khususnya pada bidang Computer Vision, telah mendorong munculnya berbagai teknologi yang mampu melakukan analisis visual secara otomatis, salah satunya adalah Face Age Detection. Teknologi ini memungkinkan sistem untuk mengidentifikasi rentang usia seseorang berdasarkan citra wajah melalui analisis karakteristik visual yang berkaitan dengan proses penuaan. Penelitian ini bertujuan untuk mengimplementasikan teknologi Computer Vision menggunakan metode Face Age Detection berbasis Convolutional Neural Network (CNN) dalam mengidentifikasi rentang usia manusia berdasarkan citra wajah. Dataset yang digunakan berasal dari Kaggle dan terdiri atas citra wajah dengan berbagai karakteristik usia. Sebelum proses pelatihan, data melalui tahap preprocessing yang meliputi data cleaning, face detection, cropping, resize, normalisasi, dan data augmentation. Model CNN kemudian dilatih menggunakan data training dan dievaluasi menggunakan metrik Accuracy, Precision, Recall, F1-Score, dan Mean Absolute Error (MAE). Hasil penelitian menunjukkan bahwa model mampu mengklasifikasikan rentang usia dengan nilai Accuracy sebesar 84,27%, Precision sebesar 83,91%, Recall sebesar 82,75%, F1-Score sebesar 83,32%, serta MAE sebesar 4,18 tahun. Hasil tersebut menunjukkan bahwa model memiliki kemampuan yang baik dalam mengenali karakteristik wajah yang berkaitan dengan usia. Penelitian ini membuktikan bahwa implementasi Face Age Detection berbasis Computer Vision dapat digunakan sebagai solusi untuk identifikasi rentang usia secara otomatis dan memiliki potensi penerapan pada bidang keamanan, layanan publik, pendidikan, pemasaran digital, serta analisis demografi.
Co-Authors Adinda Aghnia Fatihin Ahmad Fathan Mujadidi Haqqani Akbar Supia Dirja Alfiyyah Rima Ali Nurjali Amanda, Sifa Saskia Amelia, Anggi Ardhy, Muhammad Maliki Arsyad Abdullah Asifa Ramadhanti Putri Asti Marlina Asti Marlina Cika Jelita Dava Pratama Digna, Akira Alpha Ecin Kuraesin Fahtir Angger Prabowo Fakhiroh, Siti Zakiyatul Fakhrullah Abrisam Fara Diba Febrina Rahmadianti Putri Hana Aurora Aida Rahma Hanun Syahidah Ulfya Hoirunnisa, Siti Mega Sania Ikhwanul Akmal Ilyas Lutfi Abdat Jihan Fadhila Karmelia, Anita Lana Aulia Salsabila M. Akhdan Putra Hermawan Marlina, Asti Maulana, Akhmad Dzulfiqar Maulana, Lucky Hikmat Miftahul Jannah Miranti Mohammad Jibriel Avessina Muhammad Ilyassa Muhammad Iqbal Fauzi Muhtadin Muhtadin Nida Ussyaripah Khoerul Akilah Nuraida, Dhita Nurwinda Nurwinda Pinkan Prilia Mahmudah Pramono, Setio Pratama, Muhammad Akmal Putra Rahma, Alya Rahmawati, Amelia Raka Andika Pratita Ramadhani, Anisa Nur Restiayu Sekar Utami Rusydiana MS, Rizqy Salma Difa Aristawidya Satrio Akbar Sephiana, Della Shintawati Khoirunnisa Sinta Tiara, Euis Siti Uswatun Hasanah Tabita Nurtirta Purwita Sari Widhi Ariyo Bimo Yola Tirta Nurfajriya